Discover & Build Usable AI Agentic Products & Workflow Automations in 6 weeks
Deepa Krishnamurthy
Director, AI Engineering, AI Coach
Avinash Mahalingam
CEO & Co-Founder, AI Product Mngt. Coach
Go from problem to working AI Automation and/or Usable Product ( MVP) in 6 weeks
Engage in 20 hours of live, hands-on, highly interactive sessions (our mentees love this about us) where you’ll take an idea from 0 to 1(MVP) leveraging AI effectively , learn what it takes to scale AI Products from 1 to 100.You will learn and apply concepts related to LLM+RAG, AI Agents and Traditional ML.
Through a single case study in class, you’ll learn how to scope, align, and deliver real AI outcomes and build an AI product using AI tools such as lovable , n8n, Claude and Chatgpt. Small cohort size means deep interaction, live office hours, & support for your specific questions on your own AI product or AI automation workflow.
Many participants receive L&D reimbursement, and engaged learners join a lifelong community with live sessions.
What you’ll learn
Build AI Products at Enterprises, Startups or on the side and Prepare to get your AI Product related Role
Use AI-powered tools to map customer pain points
Build and refine opportunity solution trees with prompts and coaching in collaboration with tech teams
Apply structured frameworks to prioritize and validate ideas in collaboration with tech teams
Define North Star metrics and outcome-driven PRFAQs/PRDs
Develop adaptive roadmaps linked to user impact and iteration cycles
Build an AI Product using AI Tools such as Lovable and n8n and deliver 1 product in class and 1 AI Product related to your own use case.
Break down complex AI/ML concepts using product language
Learn evaluation and testing criteria that align with product goals
Design AI systems balancing scalability, cost, and UX
Document risks and safeguards using white paper templates
Design compliant, bias-aware systems with built-in accountability using n8n
Communicate clearly with stakeholders using trust-building templates
Design feedback-to-iteration workflows for model and user insights
Plan for scale with cost-conscious maintenance roadmaps
Learn product health habits and system monitoring strategies
Understanding all the foundational concepts that go into building an AI Agent
Define your use case clearly and build the AI Agent hands on using Claude Code and n8n
Launch your AI Agent and evaluate it to help it scale.
Who this course is for
Product Managers new to AI or looking to deepen their AI skills to lead AI Products and collaborate effectively with AI tech teams
AI Engineers, Software Engineers and Engineering Leaders looking to collaborate effectively with Product leads to drive successful outcomes
Program, Project, Strategy, Marketing, UX Design/Research and Business Leaders looking to learn how to bring AI Products to market
What's included
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 and if selected, get into a life-long community
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
Course syllabus
12 live sessions • 16 lessons
Week 1
Laying the Foundation: Discovery, Research & Opportunity Mapping in AI Products
Jun
13
Session 1
Jun
14
Session 2
Week 2
Strategizing AI Products: Vision, Requirements, Roadmap, and Go-to-Market
Jun
17
Office Hours 1
Jun
20
Session 3
Jun
21
Session 4
Free resources
Testimonials
- The hands-on, real-world nature of the class — especially how Avinash and Deepa teach through perspectives like customer, business, and tech — makes it uniquely powerful. The best part is how approachable the instructors are — they go out of their way to listen to our challenges and guide us to think critically and solve them ourselves.
Madhusmita Rath
VP , Product Manager, JP Morgan - Avinash and Deepa’s combination of product leadership and machine learning expertise delivers a truly holistic perspective, showing not just how to build ML solutions, but how to align them with real-world product goals. The single, evolving case study anchors the entire course, making each concept immediately relevant and easy to connect.
Anjal Haroli
Product Leader in Tech This course has been an excellent experience! Avinash and Deepa were really thoughtful and considerate in bringing clarity and energy into our sessions. I got to learn a lot about AI PM and the entire process of how AI products are built. They made sure to answer every single question that we had and went into a lot of detail in teaching the concepts that were necessary for us to understand. I highly recommend taking up this course as it's really practical and you will gain a lot of valuable information. The office hours were also good, where I brought questions to my specific use case, if I am looking to build a project, and they gave me amazing feedback.
Garv Arya
Data Science Intern at RBCThis course was a total game-changer. It's perfect for beginner/matured PMs in the AI space or seasoned ML engineers who want to better collaborate with product and other stakeholders. It masterfully balances two areas: A Mature Product Mindset and Strategic AI Implementation: Teaching the crucial wisdom of when to use AI—and when not to. The instructors, Avinash (a seasoned product coach) and Deepa (a world-class ML engineering director), bring an incredible depth of real-world experience. But what truly set this course apart was the empathy and focused attention they gave to each participant. They empowered and coached us with the right tools/frameworks, making us fall in "love" with the problem—which organically produces the right solutions.
Sai Santosh
Snr Product Manager. ,Teladoc HealthCourse content is excellent, with learnings from Deepa and Avinash's real-world experience and their level of commitment in helping students learn is unparalleled. Highly recommend the course for aspiring AI Product Managers/ Data and AI leaders!
Pradeep Hemmanur
Director, Data Scientist McKesson
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