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Industry recognized certificate

Internshala Trainings certificate

100,000+ companies use Internshala for hiring every year. So a certificate from Internshala is recognized everywhere.

NSDC & Skill India certificate

Also, receive a certificate from NSDC (National Skill Development Corporation) and Skill India

Why learn AI Product Management?

Identify real AI opportunities

Understand AI fundamentals, spot meaningful product opportunities and build your AI product management toolkit.

Make smarter product decisions with AI

Use AI for product discovery, prioritisation, prototyping and data analysis to turn ideas into well-defined product solutions.

Build and launch AI features with confidence

Learn to scope AI features, measure quality, manage risks and launch and iterate on AI-powered products. Present your ideas through an AI feature brief.

What placement assistance will you receive?

Free Placement Prep Training

Learn how to build your resume, make great applications, and ace your interviews.

Curated internships & jobs

Get internships and fresher jobs as per your preference in your inbox.

Get highlighted on Internshala

Top performers will be highlighted in their internship & job applications on Internshala.

Tools you'll learn in AI Product Manager Course

ChatGPT

A general-purpose AI assistant used for drafting, analysis, and thinking through product decisions.

Gemini Notebook

A research tool that analyses your uploaded notes, documents, and transcripts to generate insights, summaries, and answers with citations.

Claude

An AI-assisted tool used to generate PRDs, write user stories, create prototypes, and streamline product management workflows.

Claude Code

AI coding agent for taking a prototype into your real product's code by describing what you want in plain English.

Amplitude

A product analytics tool used to track user behaviour, analyse conversion funnels, and understand how users interact with product features.

Learn with a structured, hands-on approach

Learn concepts

Go through training videos to learn concepts

Test yourself

Test your knowledge through module tests at regular intervals

Hands-on practice

Get hands-on practice by doing projects

1:1 doubt solving

Get your doubts solved by experts through Q&A forum within 24 hours

Take final exam

Complete your training by taking the final exam

Get certified

Get certified in Claude Code upon successful completion of training

AI Product Manager Training syllabus

After completing the training, you can also download videos for future reference

AI Foundations For Product Managers

3 Topics
Understanding AI as a Product Manager
Spotting Real AI Opportunities
Your AI PM Toolkit
Discovery & Definition with AI
Prioritising & Prototyping with AI
Analysing Product Data with AI
Scoping & Specifying AI Features
Measuring Quality & Managing Risk
Launching & Iterating on AI Features
Present Your AI Feature Brief
Course Highlights
14+ video tutorial tutorials
0 assignments
1 project
3+ AI tools covered

AI Product Manager Training Projects

Creating an AI Feature Brief for a Product

Capstone Project

Turn a real product problem into a one-page AI Feature Brief that makes a strong case for funding. Define the problem, validate AI's value, set quality benchmarks, evaluate risks, and plan the launch. Pressure-test your brief and pitch your final proposal to stakeholders.

Meet your Instructor

Kamal Kannan

Founder & AI Builder, Delegated.to

Kamal is a founder and former Product Manager who builds and ships AI products. He is the founder of delegated.to, a platform of AI agents for small businesses, powered by his own agent framework, OpenClaw. He brings hands-on experience in building real-world AI products, helping learners understand how to identify AI opportunities, build useful features, and turn ideas into products that solve real problems.

Why learn with Internshala Trainings?

Benefits
Other platforms
Internshala Trainings
Government certified by NSDC
Free placement assistance
3x visibility in recruiter searches
Direct interview invites
Industry-ready curriculum & projects
Real time doubt resolution
Multi language support
Trusted by 4 Million+ learners

Have more questions?

  • Training Specific
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  • Training Prerequisites
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  • Certificate
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An AI Product Manager is a product professional who uses AI tools to do the product job faster and better, and who also plans and launches products that have AI features built into them. In day-to-day work, this means using AI to synthesise user research, write PRDs and user stories, prioritise roadmaps, build quick prototypes, and analyse product data. It also means knowing how to scope an AI feature, set quality bars, measure output quality through evals, manage risks such as bias and privacy, and take the feature from launch to iteration. Consider taking an AI Product Manager course to learn these skills in a structured way and apply them to real product work.
You should pursue an AI Product Manager course, as AI is becoming part of almost every product and every product team. Companies now look for product managers who can use AI to speed up research, documentation, and decision-making, and who can also guide teams building AI-powered features. Learning how to spot real AI opportunities, write clear requirements for AI features, and measure their quality can help you make better product decisions and communicate confidently with engineers and stakeholders. A structured course helps you move beyond trial and error and build a job-ready portfolio, including an AI feature brief that you can present to stakeholders.
Yes, an individual with a non-technical background can learn AI product management, since the role focuses on problem-solving, decision-making, and communication rather than writing code. While technical knowledge is helpful, it is not a barrier. Here are some tips you can follow to get started: 1. Understand the basics of what AI can and cannot do, and how to write clear, specific prompts. 2. Get comfortable with core product concepts such as user research, PRDs, user stories, prioritisation, and product metrics. 3. Consider pursuing beginner-friendly AI product management courses through platforms like Internshala. 4. Start with small exercises, such as summarising user interviews with an AI tool, drafting a PRD for a simple idea, or prioritising a feature list, and build up gradually.
To understand the future of AI product management, let us look at recent shifts in how products are built. Teams are moving from AI being an optional add-on to AI being a core part of the product experience, and product managers are expected to guide that change. AI tools are already being used to speed up user research, documentation, prototyping, and data analysis, while a growing number of products include AI features that need careful scoping, quality measurement, and responsible use. This indicates that the demand for product managers who understand both the possibilities and the limits of AI will keep growing across industries. As AI matures, it is expected to give product teams more time for strategy and creativity, and to add significant value to the global economy.
The salary of a AI Product Manager in India is estimated to be ₹12.5 lakhs per annum, with the average salary range between ₹6 LPA and ₹10 LPA.
From your batch start date, you will have access to training's content (videos, quizzes, tests, assignments, projects etc.) in the platform for 4 weeks within which you should be able to complete your training.
As this is a purely online training program, you can choose to spend as much time as you want per day and the more time you spend, sooner you would be able to complete the training. However, on an average, spending 1-2 hours per day should be sufficient for you to complete the training in 4 weeks. Some students also choose to devote more time on the weekends in case they are not able to give time on the weekdays.
Dont worry! If for some reason, you are unable to complete the course in 4 weeks, you will have the option to get a 2-week extension for Rs. 799.
Having 4 weeks access ensures you have a deadline to work with and are able to complete the training. It also helps you beat procrastination and maintain continuity in your studies which is why Internshala Trainings students have some of the best training completion rates in the industry.
If you have completed the training, you would be able to download the training content and have lifetime access to it for future reference.
There are no prerequisites for this training as it is of beginner level. Everything that you need to know about Generative AI would be taught to you from scratch.
You can watch videos and take quizzes and module tests on any device, including mobile. However, a laptop or desktop is required for assignments, practice, and the final test.
For assignments, practice, and the final test, you need a laptop or desktop with a supported operating system, a stable internet connection, and an updated Google Chrome or Mozilla Firefox browser. The final test requires Windows 8 or above and with minimum 1 GB Ram, or an equivalent supported desktop operating system. Mobile phones and tablets are not supported for the final test.
Your final test will be proctored, so a working webcam and microphone would be required. Please ensure that they are available and enabled before starting the test.
If you face any technical issue during the final test, contact the support team through the available support channel and share the issue along with a screenshot, if possible.
  • You will receive free access to Placement Preparation Training on the platform which covers resume writing, cover letter writing, how to search and apply for internships and jobs on Internshala, and interview preparation.
  • Access to curated internships & jobs related to the training - after completing the training, you would receive a list of handpicked internships or jobs every week that you can apply to as per your preference.
  • If you are a top performer, a badge of achievement will be added to your Internshala resume and shown to the employers when you apply to internships or jobs on Internshala.
When you score >= 90% in the final test, you will be a top performer and you will get highlighted in your internship and job applications.
More than 3 lac companies use Internshala to hire interns and employees and hence they will recognise a certificate from Internshala when they see one on your resume. However, please note that more than the certificate, companies hire candidates based on their skills and their performance in the interview so we hope you do a good job of learning the skill in the training and preparing for the interview using our placement assistance feature.
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No, you will be only getting a soft copy of the certificate which you can download and print out if required.
Upon successful completion of your program, you will receive two certificates:

Internshala Trainings Completion Certificate
NSDC Certificate
You are eligible for this certificate once you have completed the final test with a score of >= 33%.
You are eligible for the NSDC certificate if you achieve >= 50% marks in the module and final tests.
The Course consists of multiple Module tests and 1 Final test:
Module Tests: You must score >= 50% to unlock the next module.
Reattempts: You have unlimited reattempts for module tests to help you master the content. The reattempt for final test is paid.
Your final grade is calculated based on your performance, according to the following scale:
score >= 75 grade = 'A'
score >= 60, grade = 'B'
score >= 50, grade = 'C'
score < 50, fail
Your certificates will be processed and issued after you successfully complete the course and fulfil the criterias mentioned above.
To get NSDC & Skill India certificate, you need to fill in the required additional information including your salutation, date of birth and father's name within 3 days of enrollment. This form will open when you log in to your account. Please also note that the partnership came to effect on 8th May '23 so only trainings purchased on or after 8th May '23 are eligible for the certificate.
You will learn to use ChatGPT, Claude, Gemini Notebook (formerly NotebookLM), and Claude Code to draft, research, analyse, prototype, and build across the product lifecycle.
Certificate Placement Syllabus Projects Teachers