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Certified AI-Native Product Manager
Become an AI-powered Product Manager who builds, ships and scales 10x faster.
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Program Highlights for AI Product Managers

Live Sessions
12+ hours of live, interactive sessions led by AI experts, with workshops, labs and discussions.
Hands-On Labs
4+ labs with 5+ hours of lab time, where you apply AI in real-world business contexts.
User Insights and UX
Run realistic user simulations with Digital Twins, and create AI-generated personas and user journeys.
Open-Source Platforms
Work with 8+ open-source platforms, including Hugging Face, PostHog and TensorFlow.
Strategic Applications
Shape product vision, roadmap and competitive strategy with AI, from market research to feature prioritization.
Capstone Project
Design a fully functional AI-powered recommendation system as your capstone project.
Responsible AI
Learn governance and bias mitigation for AI products, using IBM AI Fairness 360.
Career Portfolio
Leave with strategic briefs, dashboards and AI feature blueprints for your product portfolio.
The Techademy Edge

End-to-End Product Transformation
Master AI across the product lifecycle, from discovery to deployment, and build data-driven, result-oriented features.

Credible & Trusted Name
Join 750k+ professionals trained and 650+ enterprises transformed by Techademy’s AI upskilling programs.

Zero Technical Skills Required
No coding needed. Design, prototype and deploy AI product features with open-source tools and low-code platforms from day one.

Hands-On Portfolio
Graduate with AI strategy briefs, dashboards, and working prototypes that showcase real-world product impact.

Mentor-Led Guidance
Gain expert insights on AI strategy, automation, and ethics with personalized feedback on every project.

Immediate ROI
Apply AI to optimize workflows, reduce time-to-market, improve forecasting, and enhance user experience with measurable impact.
Tuition Fee
Live Online Classroom
12+ hours of live online classes
5+ hours of hands-on labs
Capstone project and portfolio deliverables
Access to 8+ open-source AI tools
1:1 personalized mentor feedback
Industry-recognized certificate
Our support system for AI Product Managers

Generative AI Educator & Practice Leader

VP of AI and machine learning at Knowtion Health.



Curriculum for AI Product Managers
Ten modules, from AI fluency and prompting to agents, MCP and product automation.
AI Fluency & Product Mindset Foundations
Hands-on: context-engineer a PRD from structured inputs, and apply the discernment loop to improve AI output. You leave with a Structured PRD Draft and an AI Prompt Framework.
AI adoption progression from manual to automation
AI Fluency Framework: Discernment, Dialogue, Direction, Design
Context engineering: Role, Task, Domain Knowledge, Constraints, Examples
Description–Discernment loop for iterative improvement
AI product management skills foundation
Generative AI & LLM Fundamentals
Hands-on: compare outputs across AI tools, and identify safe and risky product use cases. You leave with an AI Use Case Evaluation Sheet.
Introduction to Generative AI
LLM behavior in product scenarios
Capabilities vs limitations
AI risks in product decisions
AI product manager career fundamentals
Prompt Engineering for Product Workflows
Hands-on: generate PRDs with prompts, then refine the prompts for better output. You leave with a Reusable Prompt Library.
Prompt structure for product use cases
Iterative prompt refinement
Prompting for PRDs, UX insights, and analysis
Common prompt mistakes and fixes
Using AI tools like ChatGPT in product management workflows
AI for Market Intelligence & Competitive Analysis
Hands-on: generate a SWOT analysis with AI, and build a competitor benchmarking report. You leave with a Market Intelligence Report.
AI-driven market research
Competitive benchmarking
Automated SWOT analysis
Converting insights into opportunities
AI product strategy use cases
AI for User Research & Digital Twin Simulation
Hands-on: create user personas and simulate user journeys. You leave with a User Research Report.
Digital twins for user simulation
AI-generated user personas
Behavior modeling
Personalization strategies
AI-driven UX insights
Product Strategy, Vision & Roadmapping
Hands-on: generate a roadmap with AI, and prioritize features using scoring. You leave with a Product Roadmap.
AI-assisted roadmap generation
Feature prioritization frameworks
Opportunity sizing
Product vision alignment
Product Metrics, Finance & Token Economics
Hands-on: model token costs and build a financial view of a product. You leave with a Financial Model Sheet.
ROIC, CAC, LTV, Gross Margin
Unit economics for product decisions
Token-based pricing models
AI vs SaaS cost differences
AI Product Evaluation & Business Case Design
Hands-on: build an AI business case and apply an evaluation framework. You leave with a Business Case Document.
Evaluation frameworks for AI products
5-step evaluation model
Business case design
ROI modeling
Agents, MCP & AI Product Architecture
Hands-on: build an AI agent and evaluate use cases. You leave with an AI Agent Prototype.
Difference between AI agents and LLM apps
Agent architecture: model, tools, instructions
Model Context Protocol (MCP)
Agent economics and cost traps
Automation & AI Product Execution
Hands-on: build a workflow automation and design an AI-powered workflow. You leave with an Automation Workflow.
Workflow automation fundamentals
AI + product stack integration
Vibe coding basics
AI-assisted development tools
Responsible AI, Governance & Trust Engineering
Hands-on: create a governance checklist and identify risks. You leave with a Governance Framework.
AI ethics and bias detection
Human-in-the-loop design
Trust engineering principles
When not to use AI
Capstone, Portfolio & AI Product Positioning
Hands-on: build a portfolio project, write a GitHub README, draft LinkedIn posts and present your capstone. You leave with a Complete Product Case.
AI business case presentation
Portfolio building
GitHub optimization
LinkedIn positioning
Testimonials from AI Product Managers
What product managers and leaders say about the hands-on labs, Digital Twins and Responsible AI.
Bridged Strategy and AI Execution
This course completely bridged the gap between product strategy and AI execution. The hands-on labs were incredibly practical and gave me the confidence to integrate Ai driven features directly into my product roadmap. I could immediately apply what I learned to real-world projects, and it has already started making a measurable difference.
Blended Theory with Real-World Practice
This program is the only one I’ve found that truly blends AI theory with hands-on product management practice. Every session is designed to leave you with a tangible artifact for your portfolio, whether it’s a dashboard, a prototype, or a strategic brief. By the end you don’t just understand AI conceptually but you can actually use it to build real products.
Revolutionized User Research with Digital Twins
The Digital Twin exercise completely changed how I approach user research. I could simulate customer interviews at scale, gaining insights that would have taken weeks to collect in the real world. It felt like I was interviewing 100 customers in just an hour, which has made my UX decisions much more data-driven and confident.
Built Portfolio-Ready AI Features
Loved how practical it was. I built an AI recommendation prototype during the course and showcased it in my PM interview and it got me the job that too in a senior role! I am so happy and would like to thank my trainer and Techademy for the right guidance
Gained Ethical AI Expertise
The Responsible AI module really opened my eyes to ethical challenges that most teams simply overlook. It gave me frameworks and practical steps to evaluate AI projects for bias, privacy, and transparency. As a leader, this knowledge is invaluable, and it has changed the way I approach AI in our product strategy.

Book a free 15-minute call with an advisor
Still unsure which training is right for you? Our expert career advisors are just one click away.
What you will learn
Six skills for product work with AI, from discovery and user research to execution and responsible AI.
Strategic Product Discovery
Use AI for competitive analysis, market intelligence, and automated SWOT briefs. Transform raw data into actionable product opportunities.
User Insights
Leverage Digital Twins and AI-assisted UI/UX prototyping to simulate real user behavior and personalize experiences.
Execution & Operations
Automate workflows, generate PRDs, release notes, and reports, and predict product demand to prioritize roadmaps effectively.
Capstone Project
Design and prototype a portfolio-ready AI recommendation system that delivers measurable business impact.
AI Tools Mastery
Gain hands-on experience with Hugging Face, PostHog, Llama-3, NocoBase, Axelor, Loveable, and IBM AI Fairness 360.
Responsible AI and Governance
Apply ethical frameworks, conduct AI audits, and mitigate bias for trustworthy and compliant product development.
Eligibility
Prerequisites for the AI-Native Product Manager program
You need no technical background or coding experience to join the program.
A good understanding of product or business processes is recommended, along with basic English and an analytical mindset.
You should be able to commit about 3 to 4 hours on each learning day.

This course is for you
For product managers and owners, business analysts, founders, UX researchers and consultants who want to lead AI-powered products.
Product Managers & Owners
Business Analysts & Product Strategists
Project & Program Managers
Aspiring AI Product Leaders
Entrepreneurs and Founders
UX Researchers & Operations Managers
Consultants & Transformation Leaders
Earn an AI PM Certificate
Achieve global recognition
Stand out as a certified AI professional and demonstrate hands-on mastery of open-source AI tools and frameworks.
Shareable, Credible & Official
Add your certification to LinkedIn and your resume, to move faster toward leadership roles.
Let companies compete for you
Showcase your capstone project as proof of AI-powered product innovation.
Certification


Want all of this in one file?
The week-by-week curriculum, the schedule and the fee, as a PDF you can read offline or forward to whoever signs it off.
Frequently Asked Questions
01How can I enroll for the Certified AI Product Manager Launchpad?
Please follow the steps below to enroll for the Certified AI Product Manager Launchpad.
- Step 1: Click on any of the ‘View Schedule’ buttons on this page.
- Step 2: Choose your preferred schedule and click on the ‘Enroll Now’ button.
- Step 3: Select your desired plan and proceed to checkout.
- Step 4: Fill in the required details and click on ‘Proceed’.
- Step 5: Review your Order Summary, enter your Promo Code (if any), and click on ‘Proceed’.
- Step 6: Choose your mode of payment and make the payment.
Alternatively, you can get in touch with our support team for help with enrolling.
To connect with our support team:
- Call: +91 9019173047 (India) or +1 646 437 8780 (USA)
- Email: hello@techademy.com
- Chat: Click here
02What will I accomplish by completing the Certified AI Product Manager Launchpad?
By completing the Certified AI Product Manager Launchpad, you’ll gain the skills to design, execute, and scale AI-powered products. You’ll learn to apply AI in strategy, discovery, UX, and operations, building a portfolio-ready capstone feature that demonstrates your ability to lead AI-driven initiatives confidently.
03What are the practical skills that I would gain through the Certified AI Product Manager Launchpad?
You will gain hands-on, industry-relevant skills such as:
- Applying AI for market research, competitive analysis, and product strategy
- Using digital twins for user research and AI-assisted UX design
- Automating workflows, PRDs, and reports with AI
- Building and showcasing an AI-powered recommendation system
- Applying Responsible AI principles for governance and bias mitigation
04What are the prerequisites to attend the Certified AI Product Manager Launchpad?
This program is open to Product Managers, Business Analysts, Project Managers, Founders, and anyone aiming to lead AI-powered product strategies. No coding experience is required. A basic understanding of product or business processes and an analytical mindset are recommended.
05How long will it take to complete the Certified AI Product Manager Launchpad?
The Certified AI Product Manager Launchpad is a 14-day program consisting of instructor-led live sessions, hands-on labs, and a capstone project.
06Will I receive a certificate for the Certified AI Product Manager Launchpad?
Yes, you will receive a globally recognized certification on successful completion of the program. It validates your ability to apply AI across the product lifecycle and can be added to LinkedIn or resumes to accelerate your career growth.
07Whom should I contact to get more information about the Certified AI Product Manager Launchpad?
You can contact our support team for more information.
To reach us:
- Call: +91 9019173047 (India) or +1 646 437 8780 (USA)
- Email: hello@techademy.com
- Chat: Click here
08Who are Techademy’s instructors?
Our instructors are accomplished AI Product Leaders from top global companies such as Google, Meta, Amazon, and Airbnb. They are active practitioners who bring real-world insights, case studies, and product strategies into every session.
01What is the mode of training for the Certified AI Product Manager Launchpad course?
The mode of training is live online sessions led by industry experts, supported by hands-on labs and real-world projects.
02Is the Certified AI Product Manager Launchpad course live or pre-recorded?
This is a 100% live and interactive instructor-led program. You’ll participate in workshops, labs, and discussions designed for immediate skill implementation.
03What is the structure of the Certified AI Product Manager Launchpad workshop?
The workshops include:
- 14 days of expert-led live sessions
- 5+ hours of hands-on labs
- A capstone project to design an AI-powered product feature
- Continuous 1:1 feedback and mentorship
04What should I do if I miss a Certified AI Product Manager Launchpad class?
Please contact our support team to reschedule or access alternate session options. Chat: Click here to connect with support.
05Is it possible to reschedule my Certified AI Product Manager Launchpad classes?
Yes, rescheduling is possible depending on slot availability. Contact our learner support team for assistance.
06Will there be other learners in the Certified AI Product Manager Launchpad class?
Yes, each cohort includes professionals such as Product Managers, Business Analysts, Founders, and Strategists from around the world, fostering valuable peer learning.
07How can I get my doubts about the Certified AI Product Manager Launchpad course cleared?
You can reach out during live sessions or contact our learner support team at any time.
To connect:
- Call: +91 9019173047 (India) or +1 646 437 8780 (USA)
- Email: hello@techademy.com
- Chat: Click here
08In which cities does Techademy conduct the Certified AI Product Manager Launchpad training?
The Certified AI Product Manager Launchpad is conducted entirely online, allowing you to attend from anywhere in the world.
01How much does the Certified AI Product Manager Launchpad cost?
Please visit the Certified AI Product Manager Launchpad schedule page to view the latest pricing and plan options.
02Can I cancel my enrollment and get a refund?
Yes, you can cancel your enrollment under certain conditions. Refunds depend on the timing of your cancellation. Click here to read our Terms & Conditions for cancellations and refunds.
03Does Techademy have a money-back guarantee?
Yes. We offer a money-back guarantee as per our course-specific refund policy. Please refer to our Terms & Conditions for details.
04Does Techademy provide scholarships or grants for the Certified AI Product Manager Launchpad?
Yes. We offer up to 50% scholarships for students and veterans of armed forces. Contact our support team to check your eligibility.
05Does Techademy provide discounts for groups?
Yes, group and corporate discounts are available. Please contact our support team for customized pricing and private cohort options.







