Agentic AI for Product Leaders

Dr Ankur Narang

DeepTech Entrepreneur, Technology Leader

Kush Khurana

AI & ML Leader, Venture Partner - DCX

Build and Scale Agentic AI Products That Deliver Real Business Value

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.

What you’ll learn

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.

Learn directly from Ankur & Kush

Dr Ankur Narang

Dr Ankur Narang

Three decades building HPC and AI systems processing billions of transactions

Oracle; Apparel Group; Hike; Yatra, IBM; Meta
Oracle
Meta
IBM
Apparel Group
Yatra
Kush Khurana

Kush Khurana

AI product and deep-tech builder, Visiting Professor at Ashoka University

Adda24x7; Limeroad; Hike; Mobileum
Mobileum
Adda247
See all products from DeepCoreX Academy

Who this course is for

  • 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.

What's included

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.

Maven Guarantee

Your purchase is backed by the Maven Guarantee.

Course syllabus

Week 1

Nov 24—Nov 29

    From AI Features to Agentic Products

    4 items

Week 2

Nov 30—Dec 6

    Designing Human-Agent Products

    4 items

Frequently asked questions

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Reimbursement

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Everything L&D needs: email template, receipts, and certificate of completion.

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Team discount

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Save 20%+ when 2 or more teammates enroll in the same cohort.

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Private cohort

Run a cohort for your org

A dedicated cohort with a custom schedule and curriculum, tailored to your team.

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$699

USD

Nov 24—Dec 20
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