Founder | Ex-Google | Prof UCLA & UMN
Head of Data, Engineering & AI


A 4-hour Gen AI Workshop for leaders who need to make real decisions about AI, not just understand it.
Most leaders right now are either sitting in meetings where someone is pitching an AI tool they do not fully understand, hoping nobody asks them a hard question, or they have already started experimenting but not sure if what they are building actually matters. Neither of them is where someone want to be when AI is actively reshaping every industry around them. This workshop exists to close that gap by equipping you with the strategic thinking, decision frameworks, and hands-on clarity to lead AI transformation with confidence.The biggest shift today is the rise of AI Agents, systems that plan, act, use tools, and collaborate to get work done autonomously. Organizations using them effectively are already pulling ahead.
In this workshop, you will learn to identify high-impact AI opportunities, understand how modern AI systems work, prioritize investments, ask the right questions, and design for trust and governance, leaving with a clear 90-day action plan tailored to your organization.
No coding. No prerequisites. Just bring a real problem to solve.
The New Landscape: AI Agents, Strategic Clarity, and Finding Your Highest-Value Opportunities - What every leader needs to understand before making a single AI investment decision.
From Strategy to Execution: Building AI Systems, Leading Teams, and Making It Stick - How to move from knowing what to do to actually doing it.
Office Hours: Ask Us Anything - The part past participants say they wished was longer.
Master AI strategy, agents, and execution, transform from passive observer to confident leader driving high impact AI decisions in your org.
Distinguish between Generative AI, Agentic AI, and traditional automation
Understand how AI Agents plan, act, and collaborate beyond chatbots
Identify what is realistically possible today vs. future hype
Apply a structured framework to evaluate AI use cases (value, feasibility, risk)
Differentiate between automation, augmentation, and human-only tasks
Create an initial AI Opportunity Map tailored to your organization
Analyze real use cases across functions like sales, operations, and CX
Identify patterns behind successful vs. failed AI initiatives
Translate case study insights into your own business context
Evaluate AI vendors and platforms without getting lost in technical details
Ask the right strategic and operational questions before committing
Assess your organization’s readiness for different AI approaches
Understand how modern AI systems work (agents, RAG, memory, orchestration)
Build alignment, structure teams, and manage change during AI adoption
Establish governance frameworks that balance innovation and risk
Define success metrics tied to real business outcomes
Build a prioritized 90-day execution plan from your Opportunity Map
Refine your plan through expert feedback and peer discussion

Founder Traversaal.ai | Adjunct Professor | 15+ years | Google | Stanford | UCLA

Head of Data, Engineering & AI, Grammarly
CEOs, CTOs, CIOs, and other top-level executives who want to stay ahead of the curve and understand Gen AI can applications
Product Managers responsible for product development, innovation, and market strategy who are seeking to leverage Gen AI
Experienced Data scientists, AI researchers, and machine learning engineers who want to expand their knowledge in Gen AI
Live sessions
Learn directly from Hamza Farooq & Eric Weber in a real-time, interactive format.
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
$500
USD