DeepTech Entrepreneur, Technology Leader
AI & ML Leader, Venture Partner - DCX

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AI products are rapidly evolving from copilots that generate answers into agents that can reason, use tools, access enterprise systems, and take actions. That creates a new challenge for product leaders: traditional product management frameworks are no longer enough.
You now need to decide where agents genuinely create value, how much autonomy to give them, how to design human-agent experiences, how to evaluate reliability and trust, and how to balance capability with latency, cost, safety, and business impact.
Many product teams can prototype with AI. Far fewer know how to turn those prototypes into products that users trust and businesses can scale.
This course gives product managers and product leaders a practical framework to move from AI opportunity → product strategy → agent UX → requirements → evaluation → economics → production roadmap.
You will leave better equipped to work with AI engineering teams, make sharper product decisions, and lead Agentic AI products from experimentation to measurable customer and business value.
Learn to design, evaluate and scale Agentic AI products, and lead AI product strategy from idea to real customer and business value.
Distinguish when to use automation, copilots or autonomous agents.
Map user problems and workflows to the right agentic capabilities.
Prioritize opportunities by value, feasibility, risk and business impact.
Define what the agent should do and where humans stay in control.
Design conversational, approval and exception-handling workflows.
Build trust through transparency, reversibility and clear user control.
Understand models, tools, APIs, MCP, RAG, memory and orchestration.
Write clearer PRDs for agent goals, tools, boundaries and failure modes.
Collaborate more effectively with AI engineering and design teams.
Define task success, accuracy, reliability, safety and latency metrics.
Build evaluation scorecards and acceptance criteria for agent behavior.
Combine product analytics with agent-level evaluation and observability.
Understand model, inference, tool and infrastructure cost drivers.
Balance capability, latency, reliability, safety and unit economics.
Design practical guardrails, permissions and human oversight.
Define an Agentic AI MVP with the right level of autonomy.
Build a roadmap from prototype to pilot, production and scale.
Measure adoption, user value, business impact and product ROI.

Three decades building HPC and AI systems processing billions of transactions


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AI product and deep-tech builder, Visiting Professor at Ashoka University
Product Managers & Senior PMs: Build the skills to discover, design, evaluate and ship Agentic AI products with confidence.
Product Leaders & Heads of Product: Lead AI product strategy, portfolios, teams and roadmaps from experimentation to scaled business value.
Founders, Solutions & Innovation Leaders: Turn customer problems into differentiated Agentic AI products, services and scalable offerings.
Live sessions
Learn directly from Dr Ankur Narang & Kush Khurana 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.
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Reimbursement
Get your company to pay
Everything L&D needs: email template, receipts, and certificate of completion.
Get reimbursedTeam discount
Learn with your teammates
Save 20%+ when 2 or more teammates enroll in the same cohort.
Save 20%+ with a teamPrivate cohort
Run a cohort for your org
A dedicated cohort with a custom schedule and curriculum, tailored to your team.
Book a private cohort$699
USD