AI Product Builder, Advisor, Ex-Alexa AI

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If you got impacted by layoffs, please reach out for discount of 80%
PMs, Engineers, Designers, Leaders, the roles are overlapping. The best tools and AI are in everyone’s hands. What separates the best builders now is not access to AI but how they work with it.
Here is what I hear from builders:
Building is easy now. Knowing what’s worth building is not.
My agents produce more than I can review. Some of it ships before I’ve checked it.
I work with AI, but my work is not getting done faster.
I know I can do a lot more with Agentic AI, but I am not there yet.
Chasing information and frameworks only takes you so far. For higher outcomes, you need a system that works the way you work. You build it on a problem that interests you. That builds the muscle for operating through systems, better than a case study can.
In four weeks you will learn to think with clarity about what to build, design human-AI loops that sharpen judgment, and compound AI work so returns grow week over week.
Along with live classes in the cohort, you will also get two 1:1 sessions to review and build systems for your work.
Build a high agency system around AI and agents. Think clearly, judge AI output well, ship real work, and compound what you build.
Take a systems approach to AI work. Build thinking systems for your own work.
Use AI effectively, evaluate its output and get better outcomes.
Understand problem, user needs and solution discovery, use AI as a thinking partner. Frame a problem you build on later.
Design and build human-AI loops on real work. You brief and judge, AI plans, executes and checks its own work.
Know how agents and LLMs work, and where they fail.
Use Claude Code or any other coding agent. Give it prompt and context engineering, skills, MCPs and a harness you keep improving.
Decide the value proposition and MVP. Design the user experience.Make your taste and choices explicit. Write a spec an agent can build from.
Choose the model and architecture. Evaluate accuracy, cost and latency, plan for when AI is not reliable, and build with an agent.
Write AI evals that test and improve the product on quality. Launch with monitoring, guardrails and privacy in place.
Build a compounding system by turning your corrections into rules. Build your judgement into the system.
Review your systems. Keep what still works, retire what is no longer needed.
Move from doing all the work to managing agents, and gain higher returns over time. Leave with one compounding system from your own work.
Present the product you built, your craft, the decisions behind it and your vision.
You learn about more than AI and Product. You will think at different altitudes, make better decisions, approach work from space of clarity.
You will get two personal 1:1 sessions, during the course schedule, so that we focus on your work! See you!

AI Product Builder, AI Advisor, Ex-Alexa AI ProductLeader
PMs, Engineers growing into AI Builders, in overlapping roles, who want to build depth and range in their skills, deliver better outcomes.
Founders, Leaders, PMs, Engineers looking for Systems to operate with, lead with clear thinking, decisions and get higher returns on AI.
Professionals who use AI every day but find their work is not at the level they want.Who know they can take their AI work to the next level.

Live sessions
Learn directly from Jalaja Padma 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
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8 live sessions • 37 lessons
Systems Approach
Thinking Systems
How Great Thinkers Decide
Approach to Using AI
When to Use AI, and When Not To
AI as a Thinking Partner
Problem Solving
User Needs, User Research
Solution Discovery
Oct
31
Nov
1
PROBLEM-USER-SOLUTION
Design Human-AI Loops
How to Judge AI's Work
AI Builders: Judgement
Technical Foundations of AI Agents and LLMs
Where Agents Fail
Coding Agents
Prompt Engineering, Context Engineering, Skills
Connectors and MCPs
The Harness: Memory, Permissions, Approvals
Nov
7
Maven for Teams
Reimbursement
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Save 20%+ with a teamPrivate cohort
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USD
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2 cohorts