Role to course matcher

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Forty roles, scored against what each course actually teaches. Every entry shows the job description language it covers, the problems it solves in your words, and the material it leaves out. The last part matters most: a course that admits its boundary is a course you can trust with the rest.

Find your role Answer 2 questions instead

40 ROLES · 4 COURSES · 331 NAMED FRAMEWORKS IN THE REGISTER · SCORED ON JOB DESCRIPTION OVERLAP, PROBLEM MATCH, AND PURCHASE PATH

9,000+professionals certified, from Amazon, Microsoft and Meta to startups in 47 countries

78%report a positive career impact after completing a certification

30%applied the frameworks and saw results before the course ended

92%positive feedback rate across all courses and certifications

The matcher

Which of these is your title?

Type a title, or filter by course. Anything scoring 12 or above out of 15 is a primary match. A score of 9 to 11 still works when the specific hook lands, and each entry names the hook.

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Showing all 40 roles

Live cohort · $2,400 · Starts October 5

AI Strategist Certification

Earning a mandate, surviving a C-level challenge, funding innovation with no timeline, and placing a business on a maturity model.

SCOPE BOUNDARY: STRATEGY ENDS AT OPPORTUNITY DISCOVERY. IF THE DELIVERABLE IS A ROADMAP OR A PRICE, THIS IS THE WRONG COURSE.

01 Director or VP of AI StrategyIn-house, enterprise AI Strategist Certification 14/15

Titles that match

Director of AI Strategy · Director, AI Strategy & Solutions · Director of Enterprise Data & AI Strategy · VP AI Strategy · Head of AI Strategy & Operations

Who this is

5,000 or more employees in financial services, insurance, pharma, industrials, healthcare systems, or retail. Reports to a CIO, CDAO, or Chief Strategy Officer, and sits inside IT about half the time, which the course names as a structural problem. Ten or more years in AI, data, digital, or transformation, often ex-consulting. Two to eighteen months into the role.

Score

Job description overlap 5/5 · problem match 5/5 · purchase path 4/5 · fit 14/15

What the course covers

Own and communicate an enterprise AI strategy and roadmap: Week 5 vision and scope, the full strategy document structure
Translate strategy into business-impacting solutions: Week 1 System to Model to Framework, Week 2 the three-model view
Drive measurable value from AI investment: Week 4 the AI ROI Problem, calculated at the workflow level
Credible executive presence: Week 6 Framework Certainty, answer-first narrative design, live pushback drills
Cross-functional sponsorship: Week 5 Coalition Building and the Halfway Mandate
Assess current state and identify gaps: Week 5 Initial Assessment Framework, seven assessment points

What it does not cover

Model evaluation, MLOps, vendor selection mechanics, detailed roadmap construction, and pricing.

In your words

I have a mandate and the people who have to help me do not.
I sit inside IT and structurally cannot own strategy.
I freeze when a C-level leader challenges me.
My CFO will not fund anything without a timeline and I do not have one.

Routing note

This role is the design center of the course.

See AI Strategist Certification → Compare all courses

02 Director of AI TransformationEnterprise transformation lead AI Strategist Certification 14/15

Titles that match

Director, AI Transformation · Head of AI Transformation · Senior Director, AI & Digital Transformation · Chief Transformation Officer at smaller firms

Who this is

Enterprise, and increasingly inside consultancies selling transformation. Common in procurement, supply chain, and shared services. Usually carries an explicit adoption or change management remit alongside the technology one.

Score

Job description overlap 5/5 · problem match 5/5 · purchase path 4/5 · fit 14/15

What the course covers

Redesign workflows around intelligent systems: Week 6 The Perfect Workflow, Consolidation and Compression
Operating model design and use-case portfolio prioritization: Week 2 three-model view, Week 6 pipeline of 200 use cases down to 5
Value realization planning: Week 4 AI ROI Problem, Week 6 KPI Maturity levels 1 through 4
Stakeholder mapping and reinforcement: Week 5 Coalition Building, rational versus irrational resistance
Executive narratives: Week 5 The Data Point That Changed Everything, Week 6 answer-first design
Governance structures and program metrics: Week 5 the COE model, centralization and transition planning

What it does not cover

Prosci or ADKAR certification vocabulary, workforce planning, skills taxonomies, and HR job-family redesign.

In your words

We ran the pilot, it worked, and nothing changed.
We took one big swing at transformation and it collapsed.
The organization feels like it is being torn apart.
Pushing harder makes it worse.

Routing note

The course supplies the AI-specific content that generic change frameworks leave out: workflow re-engineering, deterministic versus stochastic work, and why bolt-on AI has not shown positive ROI.

See AI Strategist Certification → Compare all courses

03 Chief Data & Analytics OfficerOr Chief Data & AI Officer AI Strategist Certification 14/15

Titles that match

CDAO · CDO · Chief Data & AI Officer · Chief Analytics Officer · SVP Data & AI

Who this is

10,000 or more employees, or a highly regulated mid-market business. Banking, insurance, pharma, government, healthcare, telco. An established data leader whose remit just absorbed AI. Deloitte's 2026 CDAO survey found 94% of surveyed CDAOs expect their influence to grow over the next 12 months.

Score

Job description overlap 4/5 · problem match 5/5 · purchase path 5/5 · fit 14/15

What the course covers

Create business value from data assets: Week 5 Data Monetization Catalog and the With-and-Without method
Assess AI data readiness and align to outcomes: Week 5 Initial Assessment Framework, Week 3 the maturity model applied to data
Partner with the business to find where data accelerates growth: Week 3 top-down and bottom-up discovery
Build executive sponsorship for the data agenda: Week 5 Coalition Building, the Five Jobs, literacy scoring
First-year strategy, roadmap, and two or three high-impact use cases: Week 5 document structure, Week 1 North Star plus quick wins

What it does not cover

Data governance mechanics, privacy and regulatory compliance, master data management, quality tooling, and lineage. For governance, the Platform Monetization course is the one that covers it.

In your words

We have data everywhere and cannot tell you what any of it is worth.
Our data was built for dashboards and our models cannot use it.
Every department defines customer differently.
We are drowning in reporting with the lowest ROI in the building.

Routing note

The Seven Stages of Data Grief and the Data Monetization Catalog are the strongest hooks here.

See AI Strategist Certification → Compare all courses

04 Independent AI strategy consultantOr fractional Chief AI Officer AI Strategist Certification 14/15

Titles that match

Principal at your own firm · Fractional Chief AI Officer · AI Strategy Advisor · Independent AI Consultant

Who this is

Solo or a two to ten person practice serving mid-market and SMB clients. Fractional CAIO engagements run $5K to $30K per month, with mid-market engagements landing $60K to $180K per year. Senior independents charge $700 to $1,500 per hour. One additional engagement covers tuition many times over.

Score

Job description overlap 4/5 · problem match 5/5 · purchase path 5/5 · fit 14/15

What the course covers

Scope and price an engagement: Week 5 the three-meeting Proof of Value model and Initial Assessment structure
Reach the level you actually need: Week 5 Coalition Building rebuilt around outreach
Ship a repeatable deliverable: Week 5 the full data and AI strategy document structure
Handle clients who cannot articulate what they want: Week 3 persuasion mechanics, Week 4 Five Whys
Compete with brand-name firms: Week 5 presenting current state, opportunities, and threats

What it does not cover

Practice marketing, lead generation, contracting, and building a book of business.

In your words

A former colleague asked me to run an initial assessment and I do not know what it includes or what to charge.
I keep landing at the wrong level.
I am one person with a team of one more.

Routing note

The differentiator here is the packaged, defensible artifacts and the named framework register you can put in front of a client, rather than the concepts themselves.

See AI Strategist Certification → Compare all courses

05 Chief AI Officer or Head of AI AI Strategist Certification 13/15

Titles that match

Chief AI Officer · CAIO · Head of AI · SVP Artificial Intelligence

Who this is

The fastest-growing C-suite role of 2026, up roughly 70% year over year. IBM's May 2026 CEO study reported that 76% of organizations now have a Chief AI Officer, up from 26% a year earlier, and more than half report to the CEO or the board. That study also found only 25% of the workforce uses AI regularly despite 86% of CEOs believing employees have the skills, which is an adoption problem.

Score

Job description overlap 4/5 · problem match 4/5 · purchase path 5/5 · fit 13/15

What the course covers

Own strategy, governance posture, build versus buy, and ROI: Week 4 the Three Big Decisions, Week 2 Core and Rim
Execute strategy that supports transformation and advantage: Weeks 1 and 2 in full, Transformation Dominance
Align AI use cases with commercial strategy: Week 3 discovery, Week 6 outcomes-based business models
Report to executive stakeholders and the board: Weeks 5 and 6 narrative frameworks, Framework Certainty under fire
Defend a concentrated AI budget: Week 3 Profitability Tax, the Bridge, the Product Arrow, Phases equal Gates

What it does not cover

AI governance frameworks, model risk management, regulatory compliance, and ethics boards. This is a real gap for this role. Pair with Platform Monetization, which carries the governance content.

In your words

Leadership announced a large investment and the stock fell.
We cannot calculate ROI, so finance is cutting us.
We are stuck between proof of concept and production.
Our competitor will make us obsolete before we finish transforming.

Routing note

Scored 13 rather than 14 because the Coalition Building material is partly solved for someone who already is the C-suite.

See AI Strategist Certification → Compare all courses

06 Consultant, data & AI strategy practiceBig Four, Accenture, or boutique AI Strategist Certification 13/15

Titles that match

Manager, Senior Manager, or Principal, Data & AI Strategy · Data & AI Value Strategy Consultant · Engagement Manager, AI Transformation

Who this is

Billing 40 or more hours a week against client AI programs. Buys with a learning stipend or expenses it. The whole course is designed to be run against someone else's business under imperfect conditions, which is this job description.

Score

Job description overlap 5/5 · problem match 4/5 · purchase path 4/5 · fit 13/15

What the course covers

Run a current-state assessment in the first two weeks: the Initial Assessment Framework, seven points
Produce a data and AI strategy document: Week 5 full document structure and the L
Build and prioritize an opportunity pipeline: Week 3 discovery modes, Week 6 narrowing 200 to 5
Defend ROI to a client CFO: Week 4 workflow-level ROI
Handle a client C-suite that resists: Week 5 rational versus irrational resistance
Sell the next phase: Week 4 the Halfway Mandate, discovery as the Trojan Horse

What it does not cover

Proposal writing, pricing a statement of work, practice economics, and utilization.

In your words

As a consultant I cannot work my way up from a director by telephone.
My clients are not ready to hear where they actually are.
I am asked to prove ROI on something whose ROI arrives later.

Routing note

Firm methodologies are built for the ideal case. This course teaches every framework twice: the ideal version and the version that survives a client where most of the business behaves like a different company.

See AI Strategist Certification → Compare all courses

07 VP Data & Analytics or Head of Data ScienceHanded AI AI Strategist Certification 13/15

Titles that match

VP Analytics · Head of Data Science · Director of Advanced Analytics · Senior Director, Data & Insights

Who this is

Built a competent analytics function over five to ten years and has now been told to produce AI outcomes with roughly the same team and budget. Deeply capable technically, structurally weak on executive narrative. The highest-volume addressable segment for this course.

Score

Job description overlap 4/5 · problem match 5/5 · purchase path 4/5 · fit 13/15

What the course covers

Get an audience above your direct manager: Week 5 Coalition Building, the six-month path to a C-level meeting
Make data persuade: Week 3 Dolphin Data and its four causes, letting data be the villain
Stop being read as a cost center: Week 3 opportunity discovery as the Trojan Horse, which ties you to the P&L
Answer how this differs from data science: Week 3 the maturity model with strong definitions
Get off the reporting treadmill: Week 3 makes this a named target

What it does not cover

Anything technical. The course warns that strategy will feel like the first time on a surfboard if you come from engineering, and it says so upfront.

In your words

I understand the concepts and cannot get anyone to act on them.
No one owns our KPIs.
Our engineers are maintaining data infrastructure they never wanted.

Routing note

You measure your own progress by whether your questions start jumping ahead of the material.

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08 CIO, CTO, or VP EngineeringCrossing into strategy AI Strategist Certification 12/15

Titles that match

CIO · CTO · VP Engineering · Chief Digital Officer · SVP Technology

Who this is

Owns the budget and the delivery organization but not the growth narrative. The CIO role is being publicly reframed as a chief transformation officer role. Company size 501 to 10,000 is the sweet spot.

Score

Job description overlap 3/5 · problem match 5/5 · purchase path 4/5 · fit 12/15

What the course covers

The opening question of Week 2: you have a business model and an operating model, so do you have a technology model
Week 2 the three-model view and Week 1 Continuous Transformation
Week 6 the Three Talent Categories, which reframes the org design problem
Week 3 Phases equal Gates, for funding innovation without committing to dates

What it does not cover

Operations, security, vendor management, and delivery, which is most of the job. Job description overlap is the weak axis at 3 out of 5.

In your words

I am seen as a cost center. If it is not broken, why fix it.
Our systems do not talk to each other, so agents break.
Every team bought a different tool and runs a different process.
We cannot hire the skills we need.

Routing note

If you own a product P&L rather than an enterprise mandate, Platform Monetization is the better fit.

See AI Strategist Certification → Compare all courses

09 Head of Innovation or Emerging Technology Director AI Strategist Certification 12/15

Titles that match

Director, AI Innovation and Emerging Capabilities · Head of Innovation · Director of Emerging Technology · Innovation Lead

Who this is

Job descriptions ask for eight or more years in technology strategy, innovation, or digital transformation, and explicitly for a structured pipeline from exploratory pilot to production-scale capability with defined stage gates, success criteria, and go or no-go decision logic.

Score

Job description overlap 4/5 · problem match 4/5 · purchase path 4/5 · fit 12/15

What the course covers

Govern a stage-gated pipeline from pilot to production: Week 3 Gates and Balances, five gates with abort criteria
Lead proof of concept work on disruptive technology: Week 3 POC Purgatory and the AI 80/20 warning
Turn technology trends into adopted capability: Week 3 Pragmatic Futurism, Week 1 technology cycles and waves
Connect use cases to measurable value: Week 4 AI ROI Problem, Week 3 Complexity and Uncertainty
Balance innovation against risk: Week 3 the Innovation Mix and the budget split

What it does not cover

Intellectual property strategy, venture scouting, corporate venture capital, and accelerator design.

In your words

We cannot justify R&D spend that might return nothing.
No one will staff an innovation project.
We are stuck between proof of concept and production.

Routing note

The Product Arrow and the Profitability Tax exist because pilots without an economic argument get cut in the first bad quarter.

See AI Strategist Certification → Compare all courses

10 Enterprise Architect or Chief ArchitectAI platform AI Strategist Certification 10/15

Titles that match

Enterprise Architect · Chief Architect · Principal Architect, AI · Head of Architecture

Who this is

Most of the job is reference architecture, standards, and integration patterns, which the course does not cover. Architecture training budgets also tend to go to vendor certifications, which makes the purchase path the weakest in this list.

Score

Job description overlap 3/5 · problem match 4/5 · purchase path 3/5 · fit 10/15

What the course covers

Week 2 Friday, the technology model session, described in the syllabus as the central session of the course
Platforms as an onion, the Intelligent Core and the Manual Rim
Build order: software and expert systems, then data, then descriptive models, then advanced models
Functional versus reliability requirements

What it does not cover

Reference architecture, standards bodies, integration patterns, and vendor evaluation.

In your words

Every technical decision is made in isolation from the business consequence.
We are trying to skip to advanced technology without the foundation.
I came from a technical background and I keep meddling.

Routing note

If you own a product platform, Platform Monetization is the stronger fit: 17 architecture frameworks against 11 here, plus the governance content.

See AI Strategist Certification → Compare all courses

Live cohort · $1,600 · Starts October 3

AI Product Management

Discovery, feasibility gate, platform decomposition, maturity-sequenced roadmap, pricing, and go to market.

SCOPE BOUNDARY: THIS COURSE ASSUMES YOU ALREADY HAVE THE JOB AND THE MANDATE. IT CARRIES NO INFLUENCE OR CHANGE MANAGEMENT FRAMEWORKS.

01 AI Product Manager or Senior AI PM AI Product Management 14/15

Titles that match

AI Product Manager · Senior Product Manager, AI · Product Manager, Machine Learning · GenAI Product Manager · Product Manager, AI Agents

Who this is

The strongest candidate profile is three to seven years of total product management experience with one or two real AI features shipped. US compensation typically $130K to $250K. Software companies of every size, plus enterprise product organizations at banks, retailers, and healthcare systems.

Score

Job description overlap 5/5 · problem match 5/5 · purchase path 4/5 · fit 14/15

What the course covers

Translate ambiguous problems into model requirements: Week 4 Problem, Data, and Solution Space Exploration
Define success metrics for probabilistic systems: Week 7 Local versus Global Success Metrics
Manage AI feature roadmaps: Week 6 Roadmap Layer Cake and Parallel Maturity
Move features from prototype to production: Week 4 Rapid Productizing replacing rapid prototyping
Define product vision and strategy: Week 5 Feature to Product to Platform, Four Surfaces and Four Platforms
Work at the intersection of research, engineering, and business: Week 1 The Missing Middle
Know what AI can do reliably: Week 7 Human and Machine Maturity Model, the adopter reliability threshold

What it does not cover

Machine learning fundamentals, evaluation metrics, model selection, prompt engineering, and experiment design. If a job description leans heavily technical, this course covers the other half of it.

In your words

There is no definition of my role.
I understand the concepts and cannot execute them.
I cannot tell how the pieces fit together.
My technical team is buried in unqualified requests.
An executive brings me a directionally wrong idea and I cannot just say no.

Routing note

The Week 4 failure case, an accurate product that sold well and still got the strategy wrong, is the strongest single asset for this audience.

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02 Director of Product or Head of AI ProductOwns a P&L AI Product Management 14/15

Titles that match

Director of Product, AI · Head of AI Product · Senior Director, Product Management · VP AI Products

Who this is

Owns a major business or product domain, sets strategy that group product managers execute, manages managers, and carries heavy stakeholder work with executives, finance, and sales. Roughly seven to ten years post-PM. Controls a training budget and can approve enrollment.

Score

Job description overlap 5/5 · problem match 4/5 · purchase path 5/5 · fit 14/15

What the course covers

Own a P&L: Week 8 Opportunity Estimation in three bands, the Bridge Pricing Model
Set strategy others execute: Week 5 decomposition from opportunity to use case to workflow to initiative
Stakeholder work with executives and finance: Week 1 the four-step presentation with no technology in it
Multi-year roadmap under changing conditions: Week 6 in full
Portfolio structure: Week 5 vertical depth and horizontal breadth
Go-to-market alignment: Week 8 Optimize-Before-Scale sequence, TAM, SAM, and SOM

What it does not cover

People management, hiring, performance management, and org design.

In your words

Just give me a number.
Users show up and they do not pay.
Freemium is quietly destroying our business.
Scaling before break-even locks in an unprofitable model.
I am being asked to do AI strategy and AI product management at once.

Routing note

Recordings and slides land within 30 to 45 minutes of each session. If you cannot attend live, the twelve months of office hours is the substitute.

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03 Principal or Staff PMAI or platform AI Product Management 13/15

Titles that match

Principal Product Manager, AI · Staff PM · Principal PM, Platform · Principal Product Manager, AI Monetization

Who this is

Senior individual contributor track. Owns the hardest ambiguous problem in the organization without direct reports. This is the level where being able to execute stops being enough and being able to define the frame becomes the bar.

Score

Job description overlap 5/5 · problem match 4/5 · purchase path 4/5 · fit 13/15

What the course covers

Week 5 Four Surfaces and Four Platforms
Week 6 Parallel Maturity and the flywheel: features drive adoption, adoption generates data, data populates the knowledge graph, the graph makes agents reliable, reliability drives use
Week 8 the working-exam format, where you bring cases and get them stress-tested

What it does not cover

Machine learning depth, and people leadership.

In your words

I am the only person in the room who can see this coming.
I cannot tell how the pieces fit together.
Everything I learn is obsolete in six months and I want durable structure.

Routing note

The frameworks are deliberately lightweight. Heavy frameworks get used once because they look impressive and then get abandoned.

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04 Data Product Manager AI Product Management 13/15

Titles that match

Data Product Manager · Product Manager, Data Platform · Product Manager, Data & Insights

Who this is

Compensation roughly $141K to $230K. Owns the full lifecycle of data products plus data quality, governance, and cross-functional translation. Chronically read as infrastructure rather than product.

Score

Job description overlap 4/5 · problem match 5/5 · purchase path 4/5 · fit 13/15

What the course covers

Treat data as a strategic asset with a product approach: Week 2 Data as an Asset, the AI Monetization Pyramid
Identify business needs and define requirements: Weeks 3 and 4, discovery and three-space feasibility
Monetize data products: Week 2 Data as an Asset, Week 8 pricing
Make data support downstream models: Week 7 Data Generation Maturity Model, Engineering Access
Ontologies and knowledge graphs for agent reliability: Week 1 information layer, Week 6 Agentic Operating System

What it does not cover

Data mesh implementation, data contracts, catalog tooling, and quality frameworks.

In your words

80% to 90% of our data cannot be used for models or even analytics.
Agents hallucinate because there is no information structure underneath them.
We have far more data than we know about and no way to capture it.

Routing note

Weeks 2 and 7 are the blocks that carry this role.

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05 Platform PM or Agent Platform PM AI Product Management 13/15

Titles that match

Product Manager, AI Agents · Senior Platform Product Manager · AI Agentic Marketplace Product Manager · Product Manager, Internal AI Platform

Who this is

A fast-emerging title category. Citi is hiring an AI Agentic Marketplace Product Manager to design, launch, and scale an internal agentic marketplace. Harvard Business School is hiring an Agentic AI Product Manager.

Score

Job description overlap 5/5 · problem match 4/5 · purchase path 4/5 · fit 13/15

What the course covers

Own the roadmap for agent capabilities: Week 6 Agentic Operating System, Roadmap Layer Cake
Design and scale a platform surface: Week 5 Four Surfaces and Four Platforms, The Intelligent Core
Let teams discover and deploy agents: Week 1 Single Pane of Glass, Week 5 the decision platform at the center
Drive automation and decision intelligence: Week 6 Decision Dominance, Week 1 Workflow Re-orchestration

What it does not cover

Regulatory, security, and risk standards for agents. Platform Monetization carries that material.

In your words

Every team believes it has the agent to rule all agents.
Our platform works and no one uses it.
Initiatives are evaluated in isolation instead of as a compounding sequence.

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06 Technical PM moving to strategyEx-engineer AI Product Management 13/15

Titles that match

Technical Product Manager · TPM · Senior TPM, AI and ML · Engineering Manager moving to product

Who this is

The course names this transition explicitly and warns about it: if you come from a technical background, expect the first two weeks to be uncomfortable, because strategy is shoulders up and the primary weapons you have used to be successful get set aside.

Score

Job description overlap 4/5 · problem match 5/5 · purchase path 4/5 · fit 13/15

What the course covers

Week 4 Problem, Data, and Solution Space Exploration, which forces the question out to the technical team instead of you answering it yourself
Week 1 presenting a workflow in four steps with no technology language in it
Week 8 pricing and estimation

What it does not cover

Machine learning depth, architecture, and anything you would run yourself.

In your words

I came from a technical background and I keep meddling, so I end up doing the architect job badly instead of mine well.
Strategy means giving up the tools that made me successful.
I am stuck between staying technical and going advisory.

Routing note

The claim is that this material is harder for technical people, not easier, and the course says so upfront.

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07 Founder or co-founderAI-native product AI Product Management 13/15

Titles that match

Founder · Co-founder · CEO · CPO, seed through Series B

Who this is

Named in the syllabus: founders building AI-native products who need a business model, not just a model. Usually a technical founder whose product works and whose monetization does not. Buys personally and decides in a day.

Score

Job description overlap 4/5 · problem match 5/5 · purchase path 4/5 · fit 13/15

What the course covers

Users show up and do not pay: Week 1 paid-conversion evidence, Week 8 pricing
Freemium eating margin: Weeks 2 and 3 Tokenomics, the Drug Dealer Model, unit economics
A story for investors before the ROI exists: Week 8 Opportunity Estimation in three bands
Going to market without inviting competitors in: Week 8 Optimize-Before-Scale, making entry economically ugly for fast followers
Getting from a feature to a platform: Week 5, which is literally this exercise

What it does not cover

Fundraising, cap tables, hiring, and sales motion design.

In your words

I have a quarter, not three years.
Costs scale with success.
I need funding before I can do the work that justifies the funding.

Routing note

The cases skew enterprise. Week 8 carries the startup-relevant material, and the small cohort redirects toward the cases in the room. Platform Monetization excludes greenfield startups, so do not start there.

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08 Group PM or product leadLegacy software vendor adding AI AI Product Management 12/15

Titles that match

Group Product Manager · Product Lead · Senior Manager, Product

Who this is

Established business-to-business software: ERP, CRM, HR tech, fintech, healthcare IT, industrial software, $50M to $5B revenue. Existing customers, existing pricing, existing model that pays the bills.

Score

Job description overlap 4/5 · problem match 4/5 · purchase path 4/5 · fit 12/15

What the course covers

Week 8 the Bridge Pricing Model, built for a business that cannot jump straight to outcome pricing
The SAP twelve-year climb to Joule
Salesforce Agentforce pricing through per-conversation, per-action, and hybrid licensing
FinTech incumbents rebuilding operations to survive their cost structure

What it does not cover

Org design, and the deeper platform governance work.

In your words

Our pricing changes keep getting reversed.
A business model over-fitted to one technology wave cannot adopt the next.
Our AI feature adds incremental value and incremental cost.

Routing note

Platform Monetization is the natural second course for this role.

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09 Product consultant or independent product strategy advisor AI Product Management 12/15

Titles that match

Product Strategy Consultant · Fractional CPO · Principal of your own practice · AI Product Advisor

Who this is

Named in the syllabus: consultants and advisors working with businesses on AI transformation. The frameworks are the deliverable, and lightweight-by-design means clients will actually run them twice.

Score

Job description overlap 4/5 · problem match 4/5 · purchase path 4/5 · fit 12/15

What the course covers

Week 4 the feasibility gate, directly resellable as a client artifact
Week 8 the estimation model
Week 5 decomposition, which gives a client something to run themselves

What it does not cover

Practice marketing, contracting, and lead generation.

In your words

Clients do not know what they want or what would help them.
Small-business CEOs demand execution detail immediately.
I do not know how to scope or price an engagement.

Routing note

Choose AI Strategist if your engagement ends at a strategy document. Choose AI Product Management if it continues into a roadmap and a price.

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10 Product Marketing Manager, AI AI Product Management 10/15

Titles that match

PMM, AI · Director of Product Marketing · Head of Product Marketing

Who this is

Product marketing managers increasingly own or heavily influence pricing and packaging for AI features, and very little training explains why token and seat models break.

Score

Job description overlap 3/5 · problem match 4/5 · purchase path 3/5 · fit 10/15

What the course covers

Week 8 in full: Bridge Pricing, Multi-dimensional Tiering, Optimize-Before-Scale
Week 1 presenting an opportunity to executives with no technology language in it
Week 3 the Adoption Journey

What it does not cover

Messaging, launch mechanics, competitive intelligence, and sales enablement, which is most of the job.

In your words

I have to write the pricing page and no one can tell me what we are charging for.
Our AI feature launched and conversion is single digits.

Routing note

If you own pricing outright rather than influence it, Platform Monetization is the better fit.

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Self-paced · $295 · Start today

AI & Agentic Platform Monetization

Pricing and platform architecture, plus the only governance and trust content in the portfolio.

SCOPE BOUNDARY: ASSUMES AN ORGANIZATION WITH EXISTING PRODUCTS, CUSTOMERS, AND A BUSINESS MODEL. GREENFIELD STARTUPS ARE OUTSIDE THE SCOPE.

01 VP or Head of AI PlatformThe strongest match in the catalog AI & Agentic Platform Monetization 15/15

Titles that match

VP AI Platform · Head of Platform · VP Platform Engineering & Product · Head of AI Platform Product · SVP Platform

Who this is

Established software vendors and enterprise ISVs at $100M to $10B revenue, plus platform teams inside large non-software companies building an internal AI platform with an eventual external product path. Every scoring axis maxes out: the job description is platform architecture plus monetization plus governance plus partner ecosystem, which is a section-by-section description of this course.

Score

Job description overlap 5/5 · problem match 5/5 · purchase path 5/5 · fit 15/15

What the course covers

Map the current platform against a target architecture: the Layered Platform Architecture, L0 through L5 maturity
Get from legacy to modern without taking systems offline: the SAP case, twelve years with ERP never offline
Decide horizontal breadth versus vertical depth: Two Platform Design Patterns, T-Shaped Platforms
Price platform capabilities and agent output: the AI Monetization Pyramid, the Salesforce pricing journey
Govern agents well enough to sell their output: Four Agent Governance Archetypes, Trust as Architecture
Build a partner ecosystem: the ecosystem triangle and the circular partnership cases
Sequence technical and business maturity together: Parallel Maturity, the capstone
Decide build versus buy on AI infrastructure: the AI Factory sections

What it does not cover

Infrastructure cost engineering, model training and serving operations, site reliability, and security implementation.

In your words

Our technology is good and our business model is quietly working against it.
We built horizontal breadth and cannot monetize it.
We do not know which surfaces we own.
Every technical decision is made in isolation from the business consequence.
Our roadmap only contains what we can build today.

Routing note

The final assignment, a Parallel Maturity roadmap for your own business, is the strongest single deliverable in the catalog.

See AI & Agentic Platform Monetization → Compare all courses

02 Monetization PM or Growth PMPricing and packaging owner AI & Agentic Platform Monetization 14/15

Titles that match

Product Manager, Monetization · Principal PM, AI Monetization · Growth PM · AI Product Monetization Manager · Head of Monetization

Who this is

Real postings include Anthropic, Microsoft AI, and T-Mobile. The typical requirement is six or more years in product management with direct experience owning pricing, packaging, paid conversion, or upgrade funnels. A small, precisely identifiable population.

Score

Job description overlap 5/5 · problem match 5/5 · purchase path 4/5 · fit 14/15

What the course covers

Design and scale monetization models that align customer value with durable revenue: the Value-Metric Alignment Test
Own pricing, packaging, and paid conversion: the Pricing Model Repertoire, hybrid consumption and outcomes licensing
Find monetization opportunities in product metrics: Economically Viable Workloads, Spending-Follows-Monetization
Define growth KPIs: revenue-growth versus cost-savings metrics
Reconcile pricing with unit economics: Functional to Reliable to Affordable

What it does not cover

A/B testing mechanics, experimentation platforms, funnel analytics tooling, and conversion rate optimization tactics.

In your words

Our pricing metric has no structural connection to value. Not every token is created equal, and a token of code and a token of cat video are priced identically.
Adoption is high and payment is low. Roughly 3% of Copilot users pay rather than using free tiers.
Our pricing changes keep getting reversed.
We charge the same price across domains with wildly different value.

Routing note

The AI Monetization Pyramid is an operational sequence: capabilities, then autonomy and intelligence, then domain expertise, then self-improvement, then outcomes, with a defined bridge between the rungs.

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03 Director of Pricing StrategyAI or agentic AI & Agentic Platform Monetization 14/15

Titles that match

Director, Pricing Strategy · Head of Pricing & Packaging · Director, Revenue Strategy · Director, Pricing Strategy, AI Platform

Who this is

Teradata's Director, Pricing Strategy, AI Platform posting covers pricing for model training, inference, vector search, and agentic orchestration. 2026 has produced four canonical agentic pricing models with no dominant one, and Deloitte published accounting guidance for outcome-based pricing in June 2026, which makes this a CFO-visible problem rather than only a product one.

Score

Job description overlap 5/5 · problem match 5/5 · purchase path 4/5 · fit 14/15

What the course covers

Choose a value metric for AI workloads: the Value-Metric Alignment Test, the central tool of the course
Build a path to outcome-based pricing: the AI Monetization Pyramid, the Outcomes Economy model
Price differently across domains: the Domain Expertise tier, Multiple Monetization
Align pricing with partners: the partnership monetization sections
Justify the model to finance: the Innovation Tax, Spending-Follows-Monetization
Price non-human consumers: Non-Human Seat Licensing for agents, machines, and connections

What it does not cover

Price elasticity modeling, conjoint analysis, discounting governance, deal desk operations, and CPQ.

In your words

We are still monetizing software when we are delivering intelligence, and per-seat licensing collapses when the worker is not a person.
We have no path from where we price today to outcome-based pricing.
You can only charge for an outcome you control enough of the workflow to deliver.

Routing note

The pricing mechanics are well solved elsewhere. Metric selection is the open problem, and most reversed AI price changes were metric problems rather than elasticity problems.

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04 CPO or VP Product at an incumbent SaaS business AI & Agentic Platform Monetization 14/15

Titles that match

Chief Product Officer · VP Product · SVP Product

Who this is

A software company founded before 2018, $50M to $5B revenue, existing per-seat or per-consumption pricing, and existing customers who will resist change. The legacy model funds the transformation and cannot be broken.

Score

Job description overlap 4/5 · problem match 5/5 · purchase path 5/5 · fit 14/15

What the course covers

The Salesforce and Agentforce case in full
The AI Monetization Pyramid
The Orchestration Imperative and the Four Axes of Misalignment
The midpoint turn on moving business and operating model into the technology model
T-Shaped Platforms

What it does not cover

Org design, people leadership, and infrastructure operations.

In your words

Consumption pricing is breaking down for us. Every time the model gets better, customers do not consume more.
Institutional rigidity pulls every initiative back.
I cannot explain why we are succeeding or failing.

Routing note

There is a four-hour executive path through the course: the opening section, the midpoint turn, pricing, the Orchestration Imperative, and Parallel Maturity.

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05 GM or P&L owner for an AI product line AI & Agentic Platform Monetization 14/15

Titles that match

General Manager · VP and GM · Business Unit Leader · Head of a product line

Who this is

Owns revenue, cost, and roadmap for one line, and answers for AI spend at a level of granularity the Chief AI Officer does not. This is the person the CFO asks what we got for it.

Score

Job description overlap 4/5 · problem match 5/5 · purchase path 5/5 · fit 14/15

What the course covers

What are we actually monetizing, the opening section
The Monday Morning Playbook and the Week One Assessment
The Winner and Loser Side-by-Side method
The Innovation Tax as the CFO-facing argument
The final Parallel Maturity roadmap

What it does not cover

Team leadership, and the technical implementation layer.

In your words

We are spending heavily on AI and cannot show what it returns.
AI is bolted onto existing workflows and creates more work downstream.
I have a quarter, not three years.

Routing note

This is a business course. The deliverable is a roadmap with the monetization attached at each stage.

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06 Head of Partnerships, Ecosystem, or Alliances AI & Agentic Platform Monetization 12/15

Titles that match

VP Partnerships · Head of Ecosystem · Director, Strategic Alliances · Head of Business Development, AI

Who this is

The course carries 8 ecosystem and partnership frameworks, the most in the catalog, plus three full case sections built on partnership as a monetization strategy.

Score

Job description overlap 4/5 · problem match 4/5 · purchase path 4/5 · fit 12/15

What the course covers

Walmart: partnership as monetization, and owning your surface on your own terms
Siemens and NVIDIA: the circular partnership where each product improves through the other's use of it
Eli Lilly: federated learning that turns competitors into partners and then into customers
The Ecosystem Triangle, where each edge creates demand on the others

What it does not cover

Partner program design, channel economics, co-sell mechanics, market development funds, and partner tiering.

In your words

Our partnerships are transactional rather than compounding.
We cannot see where we fit in the big platform ecosystems.
We are fighting for share of a shrinking pie.

Routing note

Four case sections form a coherent partnership track inside a course that looks like a pricing course.

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07 Head of AI Governance or Responsible AI Lead AI & Agentic Platform Monetization 12/15

Titles that match

Head of AI Governance · Director, Responsible AI · AI Risk Lead · Head of Model Risk, AI

Who this is

This is the only governance content across all four courses, and it treats trust as architecture rather than as a compliance layer, framing governance as expanding what the platform can do.

Score

Job description overlap 4/5 · problem match 4/5 · purchase path 4/5 · fit 12/15

What the course covers

Four agent governance archetypes: standalone, proactive, swarms, and physical-digital, each breaking controls differently, including the point that reasoning traces often do not reflect what the model did
The three types of drift
The least-impactful-action principle
Continuous monitoring, adaptive governance, and approval chains
The Shadow AI governance process

What it does not cover

The EU AI Act, NIST AI RMF, ISO 42001, audit procedures, model cards, and red-teaming methodology. A governance professional will expect regulatory frameworks and will not find them here.

In your words

Our controls do not cover the agents we are about to deploy.
Customers will not trust agents enough to pay for their output.
Shadow AI is spreading and we are losing control and visibility.
Staff are quietly losing the skills the agents took over.

Routing note

Read this section as the commercial case for governance, meaning how to build trust architecture that lets you charge for agent output. It is not a compliance curriculum.

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08 Chief Strategy Officer or business model innovation lead AI & Agentic Platform Monetization 12/15

Titles that match

Chief Strategy Officer · VP Corporate Strategy · Head of Business Model Innovation · SVP Strategy & Corporate Development

Who this is

Most of the job is mergers and acquisitions, market entry, capital allocation, and competitive positioning, which the course does not touch. The Orchestration Imperative is a strategy-office problem stated in strategy-office language, and most strategy offices have no vocabulary for it.

Score

Job description overlap 3/5 · problem match 5/5 · purchase path 4/5 · fit 12/15

What the course covers

The Orchestration Imperative and the Four Axes of Misalignment
Growing the Pie versus Taking the Pie
The transformation turn at the course midpoint
The AWS model, where an internal capability becomes a product
The Fighting the Last War test

What it does not cover

Mergers and acquisitions, market entry, capital allocation, and competitive positioning.

In your words

We are defending against the last disruption.
Our best internal capability is trapped inside the company.
Any business without a platform will not survive.

Routing note

Choose Platform Monetization if you own a product P&L. Choose AI Strategist if the mandate is enterprise transformation.

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09 Head of Data Products or Data Monetization AI & Agentic Platform Monetization 12/15

Titles that match

Head of Data Products · Director, Data Monetization · VP Data Commercialization · Head of Data Solutions

Who this is

Companies whose data is a genuine asset: retail, telco, financial data, healthcare claims, logistics, media, insurance.

Score

Job description overlap 4/5 · problem match 4/5 · purchase path 4/5 · fit 12/15

What the course covers

The capabilities-licensing pattern, from a leading medical center to a rural hospital
Federated learning as a commercial model
Multiple Monetization: one model family reused across many domains, which is the pricing logic most data teams lack

What it does not cover

Data privacy and consent for external monetization, data clean rooms, and licensing law.

In your words

We are giving data away and a partner captures the value.
Data is treated as exhaust rather than an asset with a revenue path.
We cannot teach customers to measure the value we are claiming a percentage of.

Routing note

AI Strategist Week 5 is the natural second purchase: the Data Monetization Catalog, the With-and-Without method, and the six criteria for what makes data monetizable.

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10 Platform or Solution Architect at an enterprise ISV AI & Agentic Platform Monetization 11/15

Titles that match

Principal Solution Architect · Platform Architect · Chief Architect · Enterprise Architect, AI Platform

Who this is

Job description overlap is real, but architecture budgets go to vendor certifications and this course is not one, which makes the purchase path the weak axis.

Score

Job description overlap 4/5 · problem match 4/5 · purchase path 3/5 · fit 11/15

What the course covers

The layered platform architecture
Core and Rim, and the T-shaped platform model
The sequencing argument: expert systems and contextual data gathering first, or everything downstream is uneconomic or infeasible

What it does not cover

Vendor certification content, integration patterns, and implementation detail.

In your words

We are trying to skip to advanced technology without the foundation.
The distance from our current platform to a modern one looks impossible.
Every technical decision is made in isolation from the business consequence.

Routing note

Technical decisions have strategic consequences and strategic decisions have technical ones. That framing is the hook for an architect who wants a seat at the business table.

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Self-paced · $295 · Start today

AI Opportunity Discovery

Finding, qualifying, sizing, and defending the opportunities that get funded. The narrowest and deepest course in the catalog.

SCOPE BOUNDARY: DISCOVERY IS TREATED AS A GROWTH FUNCTION THROUGHOUT. USING AI TO CUT HEADCOUNT IS HANDLED AS THE WRONG ANSWER, NOT THE GOAL.

01 Business Value Consultant or AI Value EngineerVendor side AI Opportunity Discovery 14/15

Titles that match

Business Value Consultant · Value Engineer · Value Engineer, AI Success · Director, Business Value Services · Value Consulting Lead

Who this is

Real postings at OpenAI, Glean, Observe.AI, and Accenture. The US has an estimated 180,000 or more presales engineers against roughly 4,000 value engineers and consultants, a 45 to 1 ratio. The role runs roughly 30% partnering with sales on strategic opportunities and 70% embedded with customers. This is the closest job description to syllabus match in the catalog.

Score

Job description overlap 5/5 · problem match 5/5 · purchase path 4/5 · fit 14/15

What the course covers

Lead structured value discovery to identify high-impact use cases: Lesson 6 top-down discovery and the four questions
Facilitate blueprint and use case workshops: Lesson 2 Anatomy of an Insight, Lesson 13 the full toolkit for running the room
Develop ROI models that quantify business value: Lesson 9 the Opportunity Estimation Framework, three bands
Publish executive-ready business cases: Lesson 9 in full, Lesson 7 tying the opportunity to a named critical KPI
Define measurable outcomes: Lesson 8 problem space, where success is defined in business KPIs and never model accuracy
Translate capability into business outcomes: Lesson 1 the first-principles definition of AI value

What it does not cover

Total cost of ownership modeling mechanics, MEDDIC and sales methodology, deal strategy, and procurement navigation.

In your words

I cannot quantify the value of my own work.
I have never estimated something this uncertain. Single-number estimates are impossible and ranges feel like hedging.
No one says anything in the workshop.
I am too good at it and end up owning everything, so participants leave wondering why they were there.
People leave the session feeling stupid and do not come back.

Routing note

Vendor value frameworks start after the opportunity is identified. This course covers the hour before that, sourcing the opportunity from the customer in the customer's own language.

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02 AI Strategist or Data & AI StrategistSenior individual contributor AI Opportunity Discovery 14/15

Titles that match

AI Strategist · Data & AI Strategist · Principal AI Strategist · AI Strategy Lead

Who this is

Senior individual contributor with no direct reports, expected to produce the opportunity portfolio the organization then funds. Sits in a center of excellence, a data office, or a strategy function. The syllabus names this audience first.

Score

Job description overlap 5/5 · problem match 5/5 · purchase path 4/5 · fit 14/15

What the course covers

Lesson 6: top-down four questions plus bottom-up governance
Lesson 7: the four-point progression for running discovery in a hallway
Lesson 10: Pragmatic Futurism, named the most valuable sub-framework in the course
Lesson 13: the failure-mode toolkit

What it does not cover

Roadmap construction, pricing, and platform architecture.

In your words

I am not in the room where it is decided.
I get handed initiatives I know will not deliver.
I am told how to do my job. Do this with AI is an executive specifying my architecture.
I am the only one pushing back.

Routing note

The clean upgrade path is the AI Strategist Certification, one rung up. Strategy ends at opportunity discovery, and this course begins there.

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03 AI Product Manager or Data & AI PMEntry offer AI Opportunity Discovery 14/15

Titles that match

AI Product Manager · Data & AI Product Manager · Product Manager, AI Platform

Who this is

Self-paced, the lowest price in the catalog, and no manager approval needed. It solves one acute problem: what to build, and how to prove it is worth it before anyone commits.

Score

Job description overlap 4/5 · problem match 5/5 · purchase path 5/5 · fit 14/15

What the course covers

Lesson 8: three-space feasibility, including the product manager as shield so only qualified ideas reach the technical team
Lesson 9: estimation
Lesson 2: the opportunity pipeline replacing use-case thinking
Lesson 13: recovering a session that has gone wrong

What it does not cover

Roadmap construction, platform decomposition, pricing, and go to market. That is the eight-week AI Product Management certification.

In your words

My technical team is buried in an unfiltered request queue.
Estimates are disconnected from reality, because commitments were made before anyone checked whether the thing can be built.
Initiatives get blocked mid-flight by data problems discovered months in.

Routing note

This is the front door. Take it first, then the AI Product Management certification as the continuation.

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04 Consultant running AI use-case discovery workshops AI Opportunity Discovery 14/15

Titles that match

Manager or Senior Manager, AI Advisory · AI Consultant · Principal Consultant, Data & AI · Engagement Manager

Who this is

The market delivery shape is a two to three day workshop producing a scored use case portfolio with an implementation roadmap, evaluated against business impact, data readiness, technical feasibility, and organizational readiness. This course supplies a more defensible version of that deliverable.

Score

Job description overlap 5/5 · problem match 5/5 · purchase path 4/5 · fit 14/15

What the course covers

Produce a prioritized backlog in two to three days: Lesson 8 is deliberately lightweight, because a long silence after a session is fatal
Score opportunities defensibly: Lesson 6 four questions, Lesson 8 three spaces, Lesson 9 three bands
Handle a room that goes wrong: Lesson 13, nine named failure modes with responses
Give the client something they can run again: Lesson 2, the opportunity pipeline as a recurring quarterly act
Differentiate from every other firm's workshop: Lesson 10 Pragmatic Futurism, Lesson 11 harvesting paradigms from public statements

What it does not cover

Proposal writing, statement of work pricing, and practice economics.

In your words

The ideas I get are all digital use cases.
Someone raises a roadblock and the room stops.
Prioritization by squeaky wheel.
Prioritization by coolest job title.

Routing note

Everyone has a workshop format. Very few have a documented recovery playbook for the nine ways it goes wrong.

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05 Forward Deployed Engineer or FDE LeadThe fastest-growing AI role of 2026 AI Opportunity Discovery 13/15

Titles that match

Forward Deployed Engineer · Forward Deployed Solutions Engineer · FDE Lead · embedded Solutions Engineer

Who this is

Reports cite roughly an 800% rise in FDE listings this year. On 30 June 2026 AWS committed $1B to a dedicated forward-deployed engineering organization, with OpenAI at roughly $4B and Anthropic at roughly $1.5B on comparable enterprise deployment structures. Compensation starts around $300K total. An MIT study found 95% of enterprise AI pilots produced little or no measurable profit impact, which is a deployment problem, and the role exists to close it.

Score

Job description overlap 4/5 · problem match 5/5 · purchase path 4/5 · fit 13/15

What the course covers

Map customer problems and structure the solution: Lesson 2 workflow as the unit of analysis, Lesson 8 problem space definition without prescribing the build
Build tools that fit workflows staff already use: Lesson 1 meet the business where it is, Lesson 2 workflow change as intervention
Turn capability into measurable outcomes: Lesson 9 the old workflow to new workflow estimation mechanic
Feed learnings back into the core product: Lesson 4 instrumenting the product to find where customers bounce out
Work with customers who cannot tell you what they need: Lesson 12 and Lesson 13 the silent room

What it does not cover

Everything technical. This is the non-engineering half of the FDE job, which is the half almost no one trains.

In your words

I cannot translate in either direction.
I do not know how to define a problem without prescribing the solution.
The customer wants AI and cannot say what for.

Routing note

The role is roughly half discovery. Lessons 2, 8, 9, and 13 are the fit.

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06 AI Solutions Consultant or presales Solutions Architect AI Opportunity Discovery 12/15

Titles that match

AI Solutions Consultant · Presales AI Solutions Architect · GenAI Solutions Architect, Pre-Sales · Solutions Engineer

Who this is

Job descriptions ask for twelve or more years in IT with five or more in solution architecture, plus two or more years architecting generative or agentic systems. Compensation roughly $125K to $172K for the general presales band, higher when AI-specialized.

Score

Job description overlap 4/5 · problem match 4/5 · purchase path 4/5 · fit 12/15

What the course covers

Lesson 7: the four-point progression, from critical KPI to why this technology to the recommendation to the information advantage
Lesson 6: the four questions as a qualification filter
Lesson 5: adjacency analysis, meaning what customers do immediately before and after your platform

What it does not cover

Technical architecture and demo delivery, which is a large share of the job.

In your words

I cannot tell hype from a real opportunity. The executive saw a demo and arrived enthusiastic.
I am asked to prescribe a solution before anyone defined the problem.
Deals die on adoption, not on technology.

Routing note

The move from solutions architect to value engineer is a real and lucrative career step, and this course is the bridge.

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07 Analytics or Data Science ManagerAsked to find AI opportunities AI Opportunity Discovery 13/15

Titles that match

Analytics Manager · Data Science Manager · Manager, Advanced Analytics · Insights Lead

Who this is

Manages three to fifteen analysts or scientists. Hired to answer questions and now expected to generate opportunities, with no training in running a discovery session, and often the most junior person in the room where it matters.

Score

Job description overlap 4/5 · problem match 5/5 · purchase path 4/5 · fit 13/15

What the course covers

Lesson 1: first-principles AI value taught with zero technical content, so you can say it to executives
Lesson 6: bottom-up discovery and the literacy and translation work
Lesson 13 in full
Lesson 7: the counter to let us use AI for productivity and cut headcount

What it does not cover

Technical depth, team leadership, and platform work.

In your words

Executives do not see what it takes to produce an insight, so they do not fund it.
We are drowning in reporting.
Frontline teams cannot articulate opportunities.

Routing note

No seniority is required. The four-point progression is designed to be run in a hallway, so you do not need the meeting, you need the four questions.

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08 Innovation Manager or Emerging Tech Lead AI Opportunity Discovery 12/15

Titles that match

Innovation Manager · Emerging Technology Lead · Manager, Digital Innovation · Innovation Program Lead

Who this is

Unit V, Seeing Around Corners, is a self-contained innovation curriculum. Its central claim is that innovation opportunities create new behaviors, so the adoption journey is part of the opportunity. If you cannot define an adoption journey, the opportunity is not real.

Score

Job description overlap 4/5 · problem match 4/5 · purchase path 4/5 · fit 12/15

What the course covers

Lesson 10: Pragmatic Futurism and the four phases
Lesson 11: finding opportunity paradigms by reading what industry leaders say publicly
Lesson 12: innovation opportunities and the adoption journey
The comparative case set: Walkman, iPhone, and GoPro succeeded, Snap drones and the Metaverse failed on the same surface ingredients, with the determinant named in each case

What it does not cover

Design thinking, prototyping methods, innovation accounting, and venture scouting.

In your words

Innovation with no adoption journey: no killer app, friction too high, payoff too thin.
Technology in search of a problem.
Incumbents do not innovate until a startup forces them.

Routing note

AI Strategist Week 3 is the funding half you will need next: the Innovation Mix, the Profitability Tax, and Gates and Balances.

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09 Independent AI consultant serving SMB or mid-market AI Opportunity Discovery 13/15

Titles that match

AI Consultant · Founder of a boutique practice · Fractional AI Lead · AI Advisor

Who this is

Self-paced, the lowest price in the catalog, expensed as a business cost, and decided in minutes. The course names the exact problem: clients do not know what they want, especially in small and mid-sized businesses, so you have to educate them enough to recognize their own opportunity before you can serve it.

Score

Job description overlap 4/5 · problem match 4/5 · purchase path 5/5 · fit 13/15

What the course covers

Lesson 1: the cheapest-viable-technology rule, which is the honest consultant's differentiator
Lesson 6: reframing bottom-up discovery as teaching two triggers, complexity and uncertainty
Lesson 9: a three-band estimate as a sellable artifact
Lesson 13: the recovery playbook

What it does not cover

Practice marketing, contracting, and lead generation.

In your words

Small-business CEOs demand execution detail immediately, and AI magic does not survive thirty seconds.
I do not know how to scope or price an engagement.
My clients want to cut headcount and I know that is the wrong answer.

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10 Business Analyst or Product Owner on a data & AI team AI Opportunity Discovery 12/15

Titles that match

Senior Business Analyst · Product Owner · Business Systems Analyst · Requirements Lead

Who this is

The course names the single most common failure in this role's core deliverable: requirements that are too technical, insufficiently specific, and quietly dictating the implementation.

Score

Job description overlap 4/5 · problem match 4/5 · purchase path 4/5 · fit 12/15

What the course covers

Lesson 2: map one workflow end to end and identify where technology is used intentionally and where it is not
Lesson 8 in full, especially problem-space definition
Lesson 9: estimation

What it does not cover

Technical implementation, platform work, and pricing.

In your words

Downstream breakage no one anticipated.
Everything reaches the technical team and most of it should not.
I build what I am handed and absorb the blame when it produces nothing.

Routing note

This is a career-mobility purchase. Opportunity discovery is one of the highest-value skillsets for the next five to ten years, and adapting frameworks is the part AI is not replacing.

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Seven roles appear twice

The routing rules, so you buy once.

Some titles are a strong match for two courses. The distinction is almost always what the deliverable is at the end of your work, or whether you own a product P&L.

Dual-listed roles and how to choose
Role	Appears under	Routing rule
AI Product Manager	AI Product Management #1 · Opportunity Discovery #3	Start with Opportunity Discovery as the entry offer, then AI Product Management as the eight-week continuation. Do not buy both at once.
Independent consultant or fractional executive	AI Strategist #4 · Opportunity Discovery #9	Opportunity Discovery if your clients are SMB or mid-market and the deliverable is a use-case portfolio. AI Strategist if your clients are enterprise and the deliverable is a strategy document.
Consultant at a Big Four or boutique firm	AI Strategist #6 · Opportunity Discovery #4	Opportunity Discovery for the workshop facilitator. AI Strategist for the engagement owner who has to hold the client C-suite.
Enterprise or platform architect	AI Strategist #10 · Platform Monetization #10	Platform Monetization if you own a product platform. AI Strategist if you own enterprise architecture. Monetization wins on volume of architecture frameworks, 17 against 11.
Chief Strategy Officer	Platform Monetization #8	Platform Monetization if you own a product P&L. AI Strategist if the mandate is enterprise transformation.
Innovation manager or emerging tech lead	AI Strategist #9 · Opportunity Discovery #8	Opportunity Discovery for the individual contributor finding the opportunities. AI Strategist for the director who has to fund them through gates.
Data-focused product manager	AI Product Management #4 · Platform Monetization #9	AI Product Management for the person building the data product. Platform Monetization for the person commercializing it.

The course fingerprints

Four courses that all sound like AI strategy in a headline.

This is the table that separates them. It counts named frameworks per family per course, drawn from a register of 331 constructs tagged by course. Read down a column to see where a course actually spends its time.

Named frameworks per job-to-be-done family, per course
Framework family	AI Strategist	AI Product Mgmt	Platform Monetization	Opportunity Discovery
Influence, change and organization	26	0	9	16
Opportunity discovery	15	10	2	15
Decision and learning engines	14	6	2	1
World models	12	4	4	2
Enterprise and platform architecture	11	10	17	2
Data and information strategy	11	2	1	5
Anti-patterns and failure modes	11	2	4	7
Innovation management and funding	10	2	3	1
Monetization and pricing	10	7	18	3
Assessment and engagement	9	0	4	1
Workflow and value engineering	8	5	6	3
Maturity models	7	8	11	1
AI system and product design	7	3	5	0
Qualification and feasibility	6	7	3	9
Estimation and prioritization	6	6	1	3
Ecosystem and partnership	2	4	8	2
Go to market and competition	2	7	5	0
Governance, trust and risk	0	0	8	1
Meta-frameworks	5	5	1	3
Total frameworks named	172	88	112	75

FRAMEWORKS ARE TAGGED PER COURSE, SO A CONSTRUCT TAUGHT IN TWO COURSES COUNTS IN BOTH. COLUMN TOTALS THEREFORE EXCEED THE 331-ENTRY REGISTER. OF THOSE 331, ONLY 4 APPEAR IN ALL FOUR COURSES AND 230 APPEAR IN EXACTLY ONE.

AI Strategist Certification

A political and organizational course wearing a strategy label. The largest single block is influence, change, and organization at 26 frameworks, more than any family in any course. It is built for people whose real problem is that their recommendations get ignored.

AI Product Management

An execution course. Discovery, then architecture, then maturity, then roadmap, then pricing, then go to market. It carries zero influence and change frameworks and zero assessment frameworks, because it assumes you already have the mandate and cannot convert it into a plan.

AI & Agentic Platform Monetization

A business model course. Pricing at 18 frameworks and platform architecture at 17 dominate, and it is the only course in the catalog with governance and trust content: 8 frameworks against 1 across the other three combined. It is built for people who own a platform P&L.

AI Opportunity Discovery

A practitioner course, narrow and deep. Discovery at 15, influence at 16, and feasibility at 9 make up 53% of its entire register. It is built for the person who has to run the room on Tuesday.

THE CATALOG IN ONE LINE: AI STRATEGY ENDS WHERE OPPORTUNITY DISCOVERY BEGINS. OPPORTUNITY DISCOVERY ENDS WHERE THE ROADMAP BEGINS. PRODUCT MANAGEMENT ENDS WHERE THE PLATFORM P&L BEGINS. MONETIZATION IS WHERE IT GETS PAID FOR.

Said plainly, before you enroll

Three things none of these courses do.

No machine learning

No model evaluation, no MLOps, no prompt engineering, no experiment design. Every course teaches the business half. If your gap is technical, these are the wrong purchase and the course pages say so.

No regulatory curriculum

No EU AI Act, NIST AI RMF, or ISO 42001 content anywhere in the catalog. Platform Monetization covers agent governance as commercial architecture, which is a different thing from compliance training.

Governance sits in one course only

The AI Strategist Certification carries zero governance frameworks. If your job description includes governance, pair it with Platform Monetization rather than expecting one course to cover both.

Common questions

About this analysis.

How were these forty roles chosen?+

Three inputs were combined: the four syllabi and their problems-solved documents, which describe what is actually taught; the unified framework taxonomy of 331 named frameworks tagged by course, which gives a quantitative fingerprint of each course rather than a marketing description; and live 2026 job descriptions and market data for each candidate role, checked against what the course teaches. Roles scoring below 9 out of 15 were cut.

What does the fit score mean?+

Three axes worth 5 points each. Job description overlap is the share of the published job description the course directly covers. Problem match is how closely the course problems match what the person is living through. Purchase path is how easy the purchase is, personally or with an employer yes. A score of 12 or above is a primary match. A score of 9 to 11 converts with the right hook.

My title appears under two different courses. Which one?+

Seven roles appear twice, and each has a routing rule on this page. The short version: Opportunity Discovery is the entry offer and the front door, the two live certifications are the deeper commitment, and Platform Monetization is the course for whoever owns the product P&L.

Will any of these courses teach me machine learning?+

No, and that is worth being clear about before you enroll. None of the four courses teach model evaluation, MLOps, prompt engineering, or experiment design. They teach the business half: what to build, why it creates value, how to sequence it, and how it gets paid for. Every technical persona in this analysis asks this question, so the answer is stated on every course page too.

What if my role is not listed?+

The two-question course finder gives a recommendation without needing your title, and the comparison table puts every course side by side. If you are still unsure, email info@HighROIAI.com with your role and the problem in front of you.

Can my employer pay for this?+

Many students expense tuition through a learning and development budget, and every certification includes a reimbursement request guide written as a business justification for your manager. Approval depends on your employer's policy.

Found your role? Start there.

The two live certifications begin in October and are capped at a small room. The self-paced courses start the minute you enroll.

See the live cohorts Browse self-paced

A REIMBURSEMENT REQUEST GUIDE IS INCLUDED · APPROVAL IS UP TO YOUR EMPLOYER