AI Mastery for Busy Executives

Cohort-based Course

Master the mental models required to implement winning AI initiatives and deliver ROI. From strategy to implementation. Learn with experts.

Built and shipped AI products at

Pluralsight
GitHub
Airbnb
Google
The TWIML AI Podcast

Course overview

Play to win with AI

After advising 30+ companies, interviewing over 600 AI practitioners and saving AI projects that cost millions to fix, we've seen a clear pattern: Executives who successfully implement AI aren't the ones with the biggest budgets or the most advanced technology.


They're the ones who know how to:


- Bridge the gap between technical teams and business goals

- Focus on process before tools

- Build the right capabilities at the right time

- Create feedback loops that catch problems early


They have the best mental models and know how to use them.


This program shows you exactly how to build and deploy them.


WHAT MAKES THIS COURSE DIFFERENT


- Executive-Centric Approach: We've tailored it for those who need actionable insight without technical overload.

- Expert Instructors: Sessions led by three industry veterans with decades of hands-on AI experience from Strategy to Implementation across leading technology companies.

- Designed for Implementation: Focuses on execution rather than theory. Shows you exactly how to measure results.

- Interactive Learning: Engage with peers, think through real problems, and apply what you learn immediately.


TOPICS YOU WILL MASTER:


1. Crafting a Robust AI Strategy

- Diagnosing organizational challenges and opportunities

- Identifying sources of competitive advantage

- Communicating AI strategy effectively using "Business on a Page"


2. Mobilizing Your Organization for AI Success

- Implementing the "Zone to Win" framework for AI initiatives

- Allocating resources effectively for AI projects

- Fostering AI adoption across your organization


3. AI Implementation: From Tools to Processes

- Taking a process-first approach to AI implementation

- Designing effective AI evaluation metrics

- Linking AI initiatives to business outcomes


4. Building and Managing High-Performance AI Teams

- Developing an AI talent roadmap

- Making informed build vs. buy decisions for AI solutions

- Managing AI specialists effectively


WHERE ELSE CAN I LEARN THIS STUFF:

Executives who take this course will learn how to master Generative AI and make the right decisions for themselves and organizations not available anywhere else:

- Not in any books

- Not in briefings, on podcasts, or in any executive coaching.

- It's not even available in our own writing because -- it's too deep, example-driven and extensive to cover fully in a newsletter.


WHO SHOULD TAKE THIS COURSE:

- Senior decision makers and strategists responsible for steering their organizations through the fast evolving AI landscape.

- Directors, Senior Directors, VPs and SVPs aiming to transform their functions and understand how to integrate AI into their business to drive customer value.

- C-Suite Executives (CEOs, CTOs, CIOs, CMOs, CPOs) looking to stay ahead of competitors by effectively amplifying their AI IQ and operating leverage but don't have time for extensive technical deep dives.

- Entrepreneurs and Founders who need to really understand AI and its sharp points in order to innovate and scale their businesses.


Is This You?

- You're overwhelmed by AI hype and need to cut through the noise.

- You want actionable insights without getting lost in technical jargon.

- You're eager to boost productivity—for yourself and your teams.

- You're ready to make informed decisions about AI investments, risks, and strategies.


What insights could you gain if you were part of this exclusive group?


WHO SHOULD NOT TAKE THIS COURSE:

- AI practitioners who are already on the implementation frontier

- Those seeking to improve their hands-on coding skills or in-depth technical training on AI algorithms.

- Individuals looking for a basic overview without practical applications.


YOUR HOSTS


We bridge the gap between AI expertise and executive leadership—helping you implement what works


Hamel Husain | AI Practitioner

25+ years building AI products, including at GitHub and Microsoft. Now advises Fortune 500s on AI implementation.


Greg Ceccarelli | Executive Leader

Former CPO at Pluralsight. Data exec at GitHub. Built and scaled AI teams that delivered measurable results.


Sam Charrington | Executive Advisor

Host of the TWIML AI podcast, Sam is an industry analyst, speaker and thought leader. From his more than 600 interviews he knows what works and what doesn't.

Who is this course for

01

Directors, Senior Directors, VPs and SVPs aiming to transform their functions and understand how to integrate AI into their business.

02

C-Suite Executives (CEOs, CTOs, CIOs, CMOs, CPOs, etc) looking to stay ahead of competitors by amplifying their AI IQ and operating leverage

03

Entrepreneurs and Founders who need to really understand AI and its sharp points in order to innovate and scale their businesses.

What you’ll get out of this course

Master our exclusive 3 part strategic framework

Developed over two decades of experience, leverage templates to effectively diagnose, communicate, and mobilize your AI strategy across all audiences

Employ a comprehensive AI risk assessment toolkit

Empower your organization to identify and mitigate potential AI implementation pitfalls before they become costly mistakes.


Design a stage-appropriate AI talent roadmap

Build the right team at the right time to drive your AI initiatives forward effectively.

Gain hands-on data review skills

Enable your leadership team to uncover hidden biases and quality issues in AI systems that even your technical team might miss.

Live Problem-Solving Sessions

Get direct help with your specific AI challenges. We'll review your data, debug issues, and refine your strategy in interactive sessions. We will hold office hours daily.

Conduct a thorough AI readiness assessment

Identify quick wins and long-term opportunities tailored to your specific business needs and stage

Evaluate and assess the best AI products

Get exclusive access to our searchable directory of over 8000 AI products. Receive cherry picked recommendations across use cases.

This course includes

12 interactive live sessions

Lifetime access to course materials

4 in-depth lessons

Direct access to instructor

Projects to apply learnings

Guided feedback & reflection

Private community of peers

Course certificate upon completion

Maven Satisfaction Guarantee

This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.

Course syllabus

Week 1

Feb 3—Feb 9

    Module 1: Crafting a Robust AI Strategy

    • Jan

      13

      Live Lesson 1: Building and Communicating your AI Strategy

      Mon 1/134:30 PM—5:15 PM (UTC)
    • Jan

      14

      Strategy Office Hours

      Tue 1/144:30 PM—5:15 PM (UTC)
      Optional
    1 more item

    Module 2: Mobilizing Your Organization for AI Success

    • Jan

      15

      Live Lesson 2: Communicating your AI Strategy

      Wed 1/154:30 PM—5:15 PM (UTC)
    • Jan

      16

      Strategy Office Hours (Part 2)

      Thu 1/164:30 PM—5:15 PM (UTC)
      Optional
    1 more item

    Jan

    17

    General Office Hours (EST Friendly)

    Fri 1/1712:00 AM—1:00 AM (UTC)

    Jan

    17

    General Office Hours

    Fri 1/174:30 PM—5:15 PM (UTC)
    Optional

Week 2

Feb 10—Feb 14

    Module 3: AI Implementation - From Tools to Processes

    • Jan

      20

      Live Lesson 3: Data Review Problem Solving (Part 1)

      Mon 1/204:30 PM—5:15 PM (UTC)
      Optional
    • Jan

      21

      Data, Processes and Tools Office Hours

      Tue 1/214:30 PM—5:15 PM (UTC)
      Optional
    1 more item

    Module 4: Building and Managing High-Performance AI Teams

    • Jan

      22

      Live Lesson 4: Building High Performance Teams

      Wed 1/224:30 PM—5:15 PM (UTC)
    • Jan

      23

      Organizational Problem Solving Office Hours

      Thu 1/234:30 PM—5:15 PM (UTC)
      Optional
    1 more item

    Jan

    24

    General Office Hours (EST Friendly)

    Fri 1/2412:00 AM—12:45 AM (UTC)
    Optional

    Jan

    24

    Wrap Up and Q&A

    Fri 1/244:30 PM—5:15 PM (UTC)

Meet your hosts

Greg Ceccarelli

Greg Ceccarelli

AI Product Advisor @ Tola Capital

Greg Ceccarelli is a former Chief Product Officer and operator who advises executives on how to win with AI.


He’s shipped multiple AI products at Pluralsight and GitHub and has spent the last two decades helping companies like Dropbox and Google create competitive advantage with data.


He writes weekly on Substack and maintains gregslist.ai for super fast AI product discovery.

Sam Charrington

Sam Charrington

Host @ TWIML AI Podcast

Sam Charrington is the host of the TWIML AI podcast where he's interviewed over 600 AI practitioners and executives.


His research is focused on the business and consumer application of machine learning and AI, bringing AI-powered products to market, and AI-enabled and enabling technology platforms.


He's the Founder of CloudPulse Strategies and an active advisor with aggregate intellect which offers 'fractional generative AI labs'.

Hamel Husain

Hamel Husain

Founder @ Parlance Labs

Hamel is an AI independent consultant and has helped over 30 companies operationalize LLMs.


At GitHub, Hamel lead CodeSearchNet, a large language model for semantic search that was a precursor to CoPilot, a large language model used by millions of developers.


He leads or contribute to many popular open-source machine learning projects. His extensive experience (20+ years) as a machine learning engineer spans various industries, including large tech companies like Airbnb and GitHub.

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Lessons from 30+ AI implementations


After advising 30+ companies on generative AI (and 25 years of industry experience), we're sharing our learnings in this free 8-day email course. This is a free preview of our 2-week intensive course starting December 2nd.


What You'll Learn


  1. Strategies to drive ROI instead of creating vanity projects
  2. A curated list of our preferred AI tools and vendors
  3. Real-world case studies
  4. The most common hiring mistakes (and how to avoid them)


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