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What Is an AI Product Management Course?

An AI product management course teaches you to use AI tools in everyday product work (research, requirements, roadmaps and decisions) and to manage products that are built on AI. Techcanvass runs a 2-week live online course led by Mr. Kaushik Samant, a BI & Data Product Owner at NielsenIQ with 12+ years of experience in AI, data, and analytics. It covers AI, machine learning, generative AI and agentic AI in plain language, prompt engineering, and building your own AI agent and web app with no-code tools. You finish with a working prototype, a demo day presentation and the AI Product Management Certification. It is designed for business analysts, product owners, product managers, aspiring product managers and founders, and needs no coding background.

Key Features of Our AI for Product Management Training Course

Learn about the key features of our AI for Product Management Online Training in this section.

Learn AI Fundamentals

Learn AI, ML, NLP, and GenAI through examples from brands like Netflix, Spotify, and Airbnb.

Build AI-Powered Products

Walk through the full AI product lifecycle understand how PMs work with data scientists and engineers to build impact-driven AI features.

Hands-on Projects &
Mini Tasks

Work on live scenarios, define metrics, write PRDs, and build your first AI agent and web app.

Learn Modern AI Tools

Use tools like GPT-4, Claude, Gemini, Voiceflow, Bubble, and more for prompt engineering and rapid prototyping.

Understand Data &
Responsible AI

Learn how to manage data responsibly, avoid bias, and follow frameworks like GDPR and Responsible AI.

Demo Day & Certification

Present your prototype, get certified, and boost your AI product career credentials.


Why Choose This Course?

  • Speed and leverage With AI : PMs can boost productivity (e.g. prototyping, research, user feedback summarization) and stretch scarce resources.
  • Communicate Better : Bridge technical and business teams, ensuring seamless integration of AI into product roadmaps
  • Led AI product initiative : Demand for AI product managers is growing rapidly with AI adoption increasing across industries
...Read More

like healthcare, finance, e-commerce, and automotive

  • FutureProof Skills : As companies increasingly prioritize AI initiatives, PMs with hands-on AI experience are in high demand, ensuring long-term career growth
  • Master the New Toolstack : Generative AI tools are revolutionizing how we work. From drafting and refining PRDs in minutes to prototyping ideas
Read Less

  • Speed and leverage With AI : PMs can boost productivity (e.g. prototyping, research, user feedback summarization) and stretch scarce resources.
  • Communicate Better : Bridge technical and business teams, ensuring seamless integration of AI into product roadmaps
  • Led AI product initiative : Demand for AI product managers is growing rapidly with AI adoption increasing across industries like healthcare, finance, e-commerce, and automotive
  • FutureProof Skills : As companies increasingly prioritize AI initiatives, PMs with hands-on AI experience are in high demand, ensuring long-term career growth
  • Master the New Toolstack : Generative AI tools are revolutionizing how we work. From drafting and refining PRDs in minutes to prototyping ideas

Who Is This Course For?

This course is for professionals who want to use AI in real product work, not just read about it.

  • Product Managers who want to use AI for research, roadmaps, PRDs, and decisions.
  • Aspiring Product Managers who want AI skills before applying for their first PM role.
  • Product Owners who want faster backlog work and AI-assisted discovery.
  • Business Analysts moving into product roles or adding AI skills to their current role.
  • Entrepreneurs and Founders who want to prototype an AI product idea without a development team.

This Course May Not Suit You If

You want to build machine learning models or write production code. This course teaches you to manage and prototype AI products, not to become a data scientist.

Why Do Business Analysts and Product Managers Need AI Skills?

Business analysts and product managers need AI skills because AI is now part of how product work gets done and part of what teams build.

Research, competitor analysis, PRDs, user stories, stakeholder interview preparation and feedback summaries can all be done faster with AI assistants. Companies are also adding AI features to their products, and they expect BAs and PMs to define what the AI should do, set success metrics, manage data and privacy risks, and work with data scientists and engineers.

If you are a product manager, AI skills help you:

  • Speed up discovery, research and prototyping
  • Make sharper roadmap and prioritization decisions
  • Lead AI-powered product initiatives with confidence

If you are a business analyst, AI skills help you:

  • Gather and document requirements faster
  • Improve the quality of your analysis and user stories
  • Move toward product owner, product manager or AI-focused roles

You don't need to learn to code. In 2 weeks of live online training you learn AI fundamentals, prompt engineering and no-code tools, then build a working AI prototype, present it on demo day and earn your certificate.

Ready to add AI to your product career?

Prerequisites

  • No coding or AI background is needed. The course starts with AI fundamentals.
  • Helpful but optional: basic familiarity with product concepts such as roadmaps, user stories and stakeholders. If Agile is new to you, take our Agile Scrum Foundation course first.
  • What you need: a laptop, a stable internet connection, and accounts for the AI tools used in class. The trainer shares the list before the batch starts.


Demand for AI Professionals is Growing!


  • Over 80% of businesses have embraced AI to some extent, viewing it as a core technology within their organizations.
  • PMs equipped with AI skills are among the most recruited for strategic product roles.
  • Hiring managers seek PMs who can both communicate AI’s business value and collaborate with data
...Read More

science/engineering teams to bring products to life.

  • AI-driven product decisions are now shaping entire business models and competitive strategies.
  • With AI adoption increasing across industries like healthcare, finance, e-commerce, and automotive, companies need PMs who can leverage AI capabilities into valuable products.
Read Less

  • Over 80% of businesses have embraced AI to some extent, viewing it as a core technology within their organizations.
  • PMs equipped with AI skills are among the most recruited for strategic product roles.
  • Hiring managers seek PMs who can both communicate AI’s business value and collaborate with data science/engineering teams to bring products to life.
  • AI-driven product decisions are now shaping entire business models and competitive strategies.
  • With AI adoption increasing across industries like healthcare, finance, e-commerce, and automotive, companies need PMs who can leverage AI capabilities into valuable products.

Tech Companies in this Sector


Product Managers work at these companies:

uber tesla microsoft Amazon sap
zillow facebook adobe dell linkedin
Amazon linkedin sap

Product Manager Salaries

Salary in India

The average salary For a Product Manager in India is ₹45L   



Salary in USA

The average salary For a Product Manager in USA is $121,000/yr




Career Outcomes After an AI Product Management Course

AI product management skills help you apply AI in your current role or move into AI-enabled product work. Product managers can lead AI initiatives with more confidence, product owners can speed up discovery and backlog work, and business analysts and aspiring product managers can target product owner, product manager, associate product manager or AI-focused roles. The course gives you hands-on AI skills, a working prototype and a certificate that strengthen your profile, though no course can guarantee a job or a pay rise. Average product manager salaries are around ₹45L in India and USA

How to Get Started with AI Product Management: Step by Step

  1. Learn the basics of AI. Understand AI, machine learning, generative AI and agentic AI in plain language. No coding is required.
  2. Set up your AI tools. Create accounts for ChatGPT, Claude or Gemini, and the no-code tools your trainer shares before the batch.
  3. Practice prompt engineering. Use AI for research, competitor analysis and stakeholder interview preparation.
  4. Define your product idea. Write a PRD with AI support and set success metrics for your AI feature.
  5. Build your prototype. Create first AI agent in Voiceflow and a web app in Bubble.
  6. Present and get certified. Show your prototype on demo day and receive your certificate.

The Techcanvass 2-week live course covers steps 1 and 3 to 6, and the trainer shares the tool list so you can finish step 2 before the batch starts. Session recordings and LMS access are available for revision. See the fees section for current pricing.

AI for Product Management Course Curriculum & Syllabus

What You Will Learn (Learning Outcomes)

By the end of the course, you will be able to:

  1. Explain AI, machine learning, generative AI and agentic AI in plain language, and judge where each fits in a product.
  2. Walk through the AI product lifecycle, from idea to MVP, and work with data scientists and engineers.
  3. Write effective prompts and use large language models for research, strategy, competitor analysis and stakeholder interview preparation.
  4. Draft and refine product requirement documents (PRDs) with AI support.
  5. Define success metrics for AI-powered features.
  6. Handle data, bias, privacy and legal issues, including GDPR and Responsible AI frameworks.
  7. Build a working prototype using no-code and low-code tools, including your first AI agent and web app.
  8. Present your prototype in a demo day and earn the course certificate.

AI Fundamentals for Product Managers

AI fundamentals for product managers means understanding what AI, machine learning, NLP, generative AI and agentic AI can and cannot do, so you can decide where each fits in a product. You learn the concepts in plain language through examples from Netflix, Spotify and Airbnb, then see where AI fits at each stage of the product lifecycle. An interactive exercise helps you apply it straight away. No coding or AI background is needed, and these basics support every later module.

Prompt Engineering and AI Tools for Product Work

Prompt engineering is the skill of writing clear instructions so large language models give useful, accurate results. You practice with ChatGPT, Claude and Gemini on real product tasks: research, product strategy drafts, competitor analysis and stakeholder interview preparation. You also learn to draft and refine product requirement documents (PRDs) with AI support, and to check AI output before you rely on it.

Building AI Agents and Web Apps Without Code

Building an AI agent without code means using visual tools to design, test and launch an agent without writing programs from scratch. In the final module you build your first AI agent in Voiceflow and a working web app in Bubble, using vibe coding and agentic AI tools to turn an idea into a prototype. You pick an idea, work through a build sprint and present the result on demo day. The prototype becomes a portfolio piece you can show in interviews or to stakeholders.

Data, Ethics and Responsible AI

Responsible AI in product management means managing data, bias, privacy and legal risk so an AI feature is safe and trustworthy. You learn how to handle data responsibly, how to spot and reduce bias, and how frameworks such as GDPR and Responsible AI apply to product decisions. You work through an ethical AI decision-making case study. You also learn to define success metrics for AI-powered features, so you can judge whether they work.

Expert Voices & Insights


AI in Product Management with Kaushik Samant

Discover how Kaushik Samant, Product Professional at NielsenIQ, leverages AI, data, and analytics to transform product management — driving innovation, scalability, and measurable business impact in the GenAI era.

Watch Podcast
Kaushik-Samant

Mr. Kaushik Samant

Product Professional | AI/ML-Driven Product Strategy, NielsenIQ


Product professional with 12+ years in AI, data, and analytics across Healthcare, Retail, Automotive, and Geospatial. Currently BI & Data Product Owner at NielsenIQ, delivering scalable enterprise solutions for global clients. Proven expertise in driving ...Read More $200K+ business impact, modernizing platforms (Azure → AWS, Microsoft Fabric), and leading 80+ product requirements across cross-functional teams. Experienced in AI/ML-powered products, cloud migration, and analytics strategy. Holds PG specialization in AI & ML with certifications in PSPO, Lean Six Sigma, and Product Management. Passionate about building scalable, data-driven solutions with measurable impact. Read Less

Product professional with 12+ years in AI, data, and analytics across Healthcare, Retail, Automotive, and Geospatial. Currently BI & Data Product Owner at NielsenIQ, delivering scalable enterprise solutions for global clients. Proven expertise in driving $200K+ business impact, modernizing platforms (Azure → AWS, Microsoft Fabric), and leading 80+ product requirements across cross-functional teams. Experienced in AI/ML-powered products, cloud migration, and analytics strategy. Holds PG specialization in AI & ML with certifications in PSPO, Lean Six Sigma, and Product Management. Passionate about building scalable, data-driven solutions with measurable impact.

Product professional with 12+ years in AI, data, and analytics across Healthcare, Retail, Automotive, and Geospatial. Currently BI & Data Product Owner at NielsenIQ, delivering scalable enterprise solutions for global clients. Proven expertise in ...Read More driving $200K+ business impact, modernizing platforms (Azure → AWS, Microsoft Fabric), and leading 80+ product requirements across cross-functional teams. Experienced in AI/ML-powered products, cloud migration, and analytics strategy. Holds PG specialization in AI & ML with certifications in PSPO, Lean Six Sigma, and Product Management. Passionate about building scalable, data-driven solutions with measurable impact. Read Less


Course Syllabus


Introduction to AI for Product Managers

1. AI Basics for PMs

2. AI in Product Lifecyle

3. Interactive Exercise

Building AI-Powered Products

1. AI Product Development- Idea to MVP

2. Data, Ethics, and Legal considerations

3. Interactive Case Study

Getting Familiar with AI Tools

1. LLMs & Prompt Engineering

2. No-code/Low-Code Tools

3. Vibe Coding and Building AI Agents

Building Your First Agent and WebApp using AI

1. Ideas and Tools

2. SPRINT

3. Demo Day


Case Studies and Projects

  • AI-powered stakeholders interview preparation
  • Leveraging AI for drafting product strategy,competitor analysis,primary and secondary research etc.
  • AI-supported Product Requirement documentation
  • Ethical AI Decision-Making

Tools covered


Type of Tool Tools Used in the Course What You Use Them For
AI Assistants GPT-4 / ChatGPT, Claude, Gemini Research, strategy drafts, PRDs, competitor analysis, and interview preparation
AI Agent Builder Voiceflow Building and testing your first AI agent without code
No-Code App Builder Bubble Building a working web app prototype
Vibe Coding and Agentic AI Agent frameworks and AI-assisted building Turning an idea into a working prototype
Product Analytics Analytics platforms Tracking and measuring product performance



Course Completion Certification

Every Participant in the cohort will receive a AI with Product Management Certification showing your proficiency in AI with Product Management concepts, application, skills and techniques

AI-Product-Management-Course



Not sure which course fits? This course is for people who want to use AI to plan, prototype and build AI-powered products. If you are a business analyst focused on analysis work, see the AI Certification for Business Analysts. If you are new to product management, start with the Product Management course.

How this course compares with our other courses


AI for Product Management Product Management Course AI Certification for Business Analysts
Best for PMs, POs and aspiring PMs who want to apply AI in product work People who need the core skills of product management Business analysts adding AI to analysis work
Main focus Using AI to plan, prototype and build AI-powered products The full product lifecycle, from idea to launch, with frameworks and stakeholder management AI and ML basics, GenAI tools and the AI project lifecycle, from a BA's view
AI coverage The core of the course, including agentic AI and AI agents One topic among many, including AI and automation trends The core of the course, applied to business analysis
Hands-on output A working AI prototype and a demo day A capstone project A course project and mini case studies
Format 2-week live online Live online, in Professional and Superior options See course page
Certificate AI for Product Management certificate Certificate of proficiency in Product Management AI certification and badge

How to Choose the Right Course

  • New to product management? Start with the Product Management course .
  • Already in a product role and want AI skills? Take AI for Product Management.
  • A business analyst focused on analysis work? Take the AI Certification for Business Analysts .
  • Want both product fundamentals and AI? A combo of Product Management (Superior) and AI Product Management is available on the course page.

AI for Product Management Course Training Fees

(Please Select Currency)

  
AI for Product Management Course

[10% Early Bird Discount Available]

₹ 11,900

[GST Extra]

  • Live Online Training
  • 1-year course access (extendable)
  • Course Project
  • Trainer Presentations
  • Chapter quizzes
  • AI for Product Management Certificate
  • Session Transcripts & Recordings available


To get the Early Bird Discount, Check "Upcoming AIPM Batches" Section Below

To get Group Discount Click Here



Product Management (Superior) and AI Product Management Combo Offer


39,900
₹ 46,900
[ ₹ 7,000 off ] 
[GST Extra]

Have questions? Call the learning advisor or join the Whatsapp community for career Q&A, expert guidance and more



Upcoming Batches


Live Online Training

Batch starts Batch Timing Early bird discount 10% Offer Code Expires in
Batch Start Date and Time Early Bird Discount and Validity

You can attend the classes from any part of the world, check your country here:    

Corporate and Group Training

Let us know about your company training requirements, we can also customize the program to suit your needs.

Special discounts available for a group of 3 or more.

Corporate Training Enquiry

AI for Product Management Course FAQs


What is the best AI product management course?
The best course depends on your starting point and goal. Look for live training, hands-on work with real AI tools, a capstone you can show employers, a clearly named certificate, and trainers with product experience. Our AI for Product Management course is a 2-week live online program in which you build a working AI prototype and present it on demo day. If you are new to product management itself, start with our Product Management course.
What is an AI product manager course, and what will I learn?
An AI product manager course teaches you to use AI in product work and to manage products built on AI. In this course you learn AI, ML, generative AI and agentic AI concepts, prompt engineering, the AI product lifecycle from idea to MVP, data ethics and legal issues, and how to build an AI agent and web app with no-code tools.
Who should take AI courses for product managers?
Product managers, aspiring product managers, product owners, business analysts moving into product roles, and founders who want to prototype AI ideas. If you want to build machine learning models, a data science course is a better fit.
Do I need coding knowledge?
No. The course is beginner-friendly and starts with AI fundamentals. You build your prototype with no-code and low-code tools such as Bubble and Voiceflow, plus AI-assisted building, so you do not write code from scratch.
How long is the course, and how is it delivered?
The course is a 2-week live online program with interactive sessions. Session recordings and transcripts are available, and you get 1-year course access (extendable), LMS access and mentor support. You can ask questions by WhatsApp or Signal, email or the LMS portal.
How much does the course cost?
The fee is ₹11,900 + GST in India, or $159 all-inclusive in US dollars, with a 10% early bird discount for upcoming batches. Group discounts are available for 3 or more learners. You can also take the Product Management (Superior) and AI Product Management combo.
Is this an AI product development course?
Partly. It covers the product side of AI development, taking an AI idea from concept to MVP, and you build a working prototype. It does not teach you to train machine learning models or write production code.
Can business analysts and product owners take this course?
Yes. Business analysts and product owners are among the people it is designed for. Business analysts who want AI skills focused on analysis work can also look at the AI Certification for Business Analysts.
Which AI tools are covered in the course?
You work with AI assistants such as ChatGPT, Claude and Gemini for research, strategy drafts, PRDs and competitor analysis. You build your first AI agent in Voiceflow and a working web app in Bubble, and you use vibe coding and agentic AI tools to turn an idea into a prototype. The trainer shares the final tool list before your batch starts.
What projects are included?
You work through case studies on AI-powered stakeholder interview preparation, drafting product strategy and competitor analysis with AI, AI-supported product requirement documents, and ethical AI decision-making. In the final sessions you build your first AI agent and web app and present your prototype on demo day.
Is there a certificate after completion?
Yes. Every participant receives the AI for Product Management Certificate, which shows your proficiency in AI-driven product management concepts, skills and techniques.
Will this course help my career or salary?
It gives you hands-on AI skills, a portfolio project and a certificate, all of which strengthen your profile for AI-related product roles. No course can guarantee a job or a pay rise, so look at current job listings for the roles you want.
How is this different from the Product Management course?
The Product Management course teaches the complete discipline: frameworks, stakeholder management and the full lifecycle. This course assumes you know the basics and focuses on using AI in product work and building an AI-powered prototype. The two are designed to work together.
Is this course suitable for business analysts?
Yes. Business analysts are one of the groups the course is designed for. You use AI for requirements, research and documentation, and learn to manage AI-powered products.
What is the difference between this course and the AI Certification for Business Analysts?
This course focuses on using AI to plan, prototype and build AI-powered products. The AI Certification for Business Analysts focuses on AI and ML basics, GenAI tools and the AI project lifecycle from a BA's view.
Which time zones are the batches in?
Classes run live online. The Upcoming Batches table shows start dates and timings in IST, PT, CT,ET and GMT.


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