Build AI-First Products That Shape the Future

Learn how to lead GenAI product initiatives with hands-on agentic workflows, LLM systems, and engineering collaboration.

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Course Highlights

Course hours

60+ hours of live training with FAANG+ Experts

15+ hours of expert-guided live hands-on projects

Duration

14 weeks (9 weeks of live sessions and 5 weeks of domain-specific sessions)

Projects

3 Live Guided Projects, 2 Capstone Projects

Instructors

FAANG and Tier-1 PMs, AI/ML leads, and AI/ML Engineers.

Curriculum coverage

Foundations of Agentic AI, Multi-Agent Systems for Product Workflows, No-Code/Low-Code AI Development, Prompt Engineering, AI PRD Writing, RAG Implementation, LLM Integration, and End-to-End Capstone Projects.

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Turbocharge Your Career with Gen AI

Full details of the curriculum
Hands-on Guided Projects and Capstone Projects
Career Support Services

Get your copy of the course brochure

Turbocharge Your Career with Gen AI

Full details of the curriculum
Hands-on Guided Projects and Capstone Projects
Career Support Services

Average package for alumni

LPA

Careers transformed

0 K+

Average ROI on course price

0 x

20+ Tools & Tech You’ll Learn

Why Choose Our Transformative GenAI Program for PM

Guided by 600+ Mentors from FAANG+ Companies

Learn directly from experienced product leaders and engineers driving GenAI adoption at top tech companies.

Flexible Format for Working PMs

Designed for busy product managers to gain deep AI fluency without compromising on work-life balance.

Curriculum Mapped to Industry Needs

Covers the entire Agentic AI stack—starting from LLM basics to multi-agent systems, with a strong focus on product use cases.

Tailored for PM Scenarios

Learn how to apply GenAI in workflows like prioritization, roadmap strategy, market sensing, and user-facing feature design.

Real Projects That Mirror AI Product Challenges

Tackle real-world problems like fraud detection and threat analysis through two live guided builds and five capstone projects.

Learner Satisfaction Backed by Data

With an NPS of 55 and an average rating of 4.75+, our learners consistently rate the program for its practical, PM-friendly approach.

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Detailed Curriculum of Our Transformative GenAI Program

Detailed Curriculum of Our Applied Agentic AI PM

Fundamentals of Agentic AI

Build Your First AI Agent

Building Applications with LLMs & Agents - Lite

Build Your Advanced Agent

Evaluation & Optimizing AI Agents: Performance & Cost Efficiency

Python Fundamentals Crash Course

Python For GenAI

LLM Architecture & Pre-training (Deep Dive into LLMs + Training LLMs) - Lite

Live Guided Project - Automated Data Insights Generator

Capstone Project 1: Initiation

Domain-specific case studies I

Capstone Project 1: Presentation, Capstone Project 2: Initiation

Domain-specific Case Studies II

Capstone Project 2: Presentation

Detailed Curriculum of Our Transformative GenAI PM

Detailed Curriculum of Our Applied Agentic AI PM

Fundamentals of Agentic AI

Build Your First AI Agent

Building Applications with LLMs & Agents - Lite

Build Your Advanced Agent

Evaluation & Optimizing AI Agents: Performance & Cost Efficiency

Python Fundamentals Crash Course

Python For GenAI

LLM Architecture & Pre-training (Deep Dive into LLMs + Training LLMs) - Lite

Live Guided Project - Automated Data Insights Generator

Capstone Project 1: Initiation

Domain-specific case studies I

Capstone Project 1: Presentation, Capstone Project 2: Initiation

Domain-specific Case Studies II

Capstone Project 2: Presentation

Live Guided Projects

Interactive AI Assistant

Build your first AI agent using low-code and no-code tools like LangGraph, CrewAI, Make, and Zapier. The AI agent will be capable of reasoning, decision-making, and tool usage, automating workflows across different applications. While deploying an interactive AI assistant for real-world automation, explore agent-based workflows, decision trees, and multi-agent collaboration. Design robust and adaptable AI workflows by leveraging platforms like Bubble, LangFlow, and OpenAI API.

Advanced Horizontal Multi-Agent System for Finance

This project centers on building a multi-agent financial system using no-code/low-code tools to automate transactions, analyze data, and deliver intelligent insights. Participants will create AI-powered financial bots with multimodal capabilities and long-term memory for strategic decision-making. Tools like LangChain, Zapier, and LangFlow will enable scalable, compliant, and adaptable solutions.

Automated Data Insights Generator

Simplify data analysis by allowing users to generate insights from datasets using natural language inputs, eliminating the need for complex queries or coding. The system will integrate a robust data pipeline to load CSV files into an SQL database using the LangChain toolkit to connect with the database. The project utilizes SQL, Python, LangChain, and Streamlit, with plans to expand to other databases and BI tools.

Projects are subject to change as per industry inputs.

Capstone Projects

AI-Powered Feature Prioritization Tool

Design a tool meant to evaluate feature requests based on user impact, development effort, and business alignment. It leverages AI to analyze customer feedback and trends using LLMs, ensuring data-driven decision-making. The tool integrates with Jira and Asana to automatically generate tickets for prioritized features, streamlining the product development workflow and improving efficiency.

Customer Sentiment Analysis & Roadmap Alignment Tool

Build a tool that leverages AI to analyze customer complaints, app reviews, and support tickets. It should be able to classify and cluster feedback into product themes, providing insights into common pain points. The system automatically generates reports that align key customer concerns with upcoming roadmap items, ensuring that product development stays focused on user needs and priorities.

AI-Driven Competitive Landscape Analysis Tool

Build an AI-powered research assistant that monitors competitor websites, product releases, and industry news. Using retrieval-augmented generation (RAG), it will generate reports summarizing key competitive insights, including pricing strategies, feature gaps, and market trends. This enables businesses to stay ahead by making informed strategic decisions based on real-time industry analysis.

Bring Your Own Project [BYOP]

Work on personal or professional projects of your choice. BYOP offers mentorship, structured guidance, and feedback to ensure projects are aligned with industry standards and best practices. It fosters creativity, innovation, and real-world problem-solving, enabling you to build impactful solutions. You will receive guidance on selecting the right tools and frameworks based on project requirements.

Projects are subject to change as per industry inputs. Choose from one of 4 Capstone Projects.

Live Guided Projects

Interactive AI Assistant

Build your first AI agent using low-code and no-code tools like LangGraph, CrewAI, Make, and Zapier. The AI agent will be capable of reasoning, decision-making, and tool usage, automating workflows across different applications. While deploying an interactive AI assistant for real-world automation, explore agent-based workflows, decision trees, and multi-agent collaboration. Design robust and adaptable AI workflows by leveraging platforms like Bubble, LangFlow, and OpenAI API.

Advanced Horizontal Multi-Agent System for Finance

This project centers on building a multi-agent financial system using no-code/low-code tools to automate transactions, analyze data, and deliver intelligent insights. Participants will create AI-powered financial bots with multimodal capabilities and long-term memory for strategic decision-making. Tools like LangChain, Zapier, and LangFlow will enable scalable, compliant, and adaptable solutions.

Automated Data Insights Generator

Simplify data analysis by allowing users to generate insights from datasets using natural language inputs, eliminating the need for complex queries or coding. The system will integrate a robust data pipeline to load CSV files into an SQL database using the LangChain toolkit to connect with the database. The project utilizes SQL, Python, LangChain, and Streamlit, with plans to expand to other databases and BI tools.

Projects are subject to change as per industry inputs.

Capstone Projects

AI-Powered Feature Prioritization Tool

Design a tool meant to evaluate feature requests based on user impact, development effort, and business alignment. It leverages AI to analyze customer feedback and trends using LLMs, ensuring data-driven decision-making. The tool integrates with Jira and Asana to automatically generate tickets for prioritized features, streamlining the product development workflow and improving efficiency.

Customer Sentiment Analysis & Roadmap Alignment Tool

Build a tool that leverages AI to analyze customer complaints, app reviews, and support tickets. It should be able to classify and cluster feedback into product themes, providing insights into common pain points. The system automatically generates reports that align key customer concerns with upcoming roadmap items, ensuring that product development stays focused on user needs and priorities.

AI-Driven Competitive Landscape Analysis Tool

Build an AI-powered research assistant that monitors competitor websites, product releases, and industry news. Using retrieval-augmented generation (RAG), it will generate reports summarizing key competitive insights, including pricing strategies, feature gaps, and market trends. This enables businesses to stay ahead by making informed strategic decisions based on real-time industry analysis.

Bring Your Own Project [BYOP]

Work on personal or professional projects of your choice. BYOP offers mentorship, structured guidance, and feedback to ensure projects are aligned with industry standards and best practices. It fosters creativity, innovation, and real-world problem-solving, enabling you to build impactful solutions. You will receive guidance on selecting the right tools and frameworks based on project requirements.

Projects are subject to change as per industry inputs. Choose from one of 4 Capstone Projects.

+ Instructors to Train You

Get mentored by AI/ML leaders who are driving Agentic AI innovation at top global companies.

Mona Mona

Generative AI Lead

Ralph Blanes

Research Software Engineer

Rishabh Misra

Lead ML Engineer & Researcher

Behnoosh Parsa

Applied Scientist - GenAI

Ujjwal Das Gupta

Senior ML Engineer

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The IK Experience: What Our Alumni Are Saying

Our engineers land high-paying and rewarding offers from the biggest tech companies, including Facebook, Google, Microsoft, Apple, Amazon, Tesla, and Netflix.

Venkatesh Babu

Senior Director - ISV/SolEx Technical Partner Management

“I highly recommend the Applied GenAI course by Interview Kickstart. The PM path was incredibly well-organized, reshaping my thinking on how to leverage Generative AI in product management. The hands-on approach, insightful curriculum, and experienced instructors made it an outstanding learning experience!”

Amit Vaswani

Lead Software Engineer, Highnote

“I recently completed the Applied Gen AI course at Interview Kickstart, and I couldn't be more impressed. The course was well-structured into modules, making complex concepts easier to digest. For someone without a strong programming background, I appreciated the beginner Python class they offer for non-programmers—it helped build a solid foundation. The instructors are fantastic and always go the extra mile to ensure every question is answered. They are patient and don’t rush through the material, often allowing classes to run over to ensure everyone fully grasps the concepts. One of my favorite features is the 'Expert Connect,' where you can have 1-on-1 sessions with instructors to clear any doubts. Overall, Interview Kickstart provided an exceptional learning experience, and I highly recommend it to anyone looking to uplevel in their career.”

Abhishek Singh

Senior Data Analyst, Jeavio

“IK is a GOD-Send to me. If you are looking to upskill or transition in your career, IK is the place to be. I joined Data Science Switchup in November-23 and I am loving the 360 degree experience which IK provides. The instructors are professionals who are currently working in the tier-1 companies so the classes have loads of real-life snippets of their experience which adds true value to students like us. The mock sessions and technical sessions helped me immensely to understand the topic at a deeper level. The Ops Team & Success Coaches are superstars who act like a true friend when you need any sort of assistance.”

Dwaraknath Bakshi

Senior Director of Engineering, Freshworks

“IK has been an integral part of my life for the last seven years. Since being part of some of the early batches to most recently pursuing their ML track I have done several courses with them. What amazes me is the approachability of the staff, the proactive support team and professionalism. The material is amazing and profound. Omkar and Niloy to name a few they have amazing faculty who are very knowledgeable and are also great teachers. I can keep raving about IK. It’s definitely a boon to software engineers.”

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FAQs

How is Agentic AI different from traditional AI systems?

Agentic AI refers to autonomous systems that use LLMs to reason, plan, and act—either independently or in coordination with other agents. Unlike rule-based tools, these systems adapt, learn, and integrate with real-world workflows, making them highly effective in both business and tech use cases.

What types of tools and frameworks will I learn in this program?

You’ll work with over 20 GenAI tools used by top tech teams, including LangChain, LangGraph, CrewAI, AutoGen, OpenAI APIs, Pinecone, ChromaDB, Zapier, and N8n—giving you exposure to the modern agentic AI stack.

Is this course suitable for non-technical product managers?

Yes. This course is designed for PMs from both technical and non-technical backgrounds. No prior experience in ML or programming is required—just a strong interest in building AI-powered product features.

What are the most common applications of Agentic AI?

Agentic AI is already used to:

Automate workflows and feature testing in product teams
Build intelligent assistants in customer service
Power diagnosis tools in healthcare
Drive autonomous financial systems
Optimize logistics in supply chains
Enable real-time reasoning in robotics

How is this program different from general GenAI or LLM courses?

Unlike generic prompt engineering or ML bootcamps, this course focuses on how PMs can lead and design full-stack GenAI applications. You’ll learn multi-agent orchestration, tool integration, and deployment strategies—all contextualized for product management.

What projects will I work on during the course?

You’ll complete three live guided projects and two capstone projects of your choice. Examples include building an AI project manager, a security audit system, or a GenAI-based product discovery agent.

Who teaches the sessions in this course?

The instructors are senior PMs, engineers, and GenAI leaders from companies like Google, Amazon, and other FAANG+ firms. You’ll learn directly from professionals who’ve built and shipped real-world AI systems.

How much time should I expect to dedicate each week?

The course spans 14 weeks, with over 30 hours of live instruction and 15+ hours of live project work. Most PMs commit around 10–12 hours per week, balancing this with their full-time roles.

What kind of support will I get as a learner?

You’ll receive weekly group coaching, project feedback sessions, access to recorded live sessions, and email support from TAs—ensuring you stay on track throughout the program.

What if I’m unable to attend a live session?

No problem. All live classes are recorded and made available on-demand, so you can revisit them anytime during the course.

Are flexible payment plans available?

Yes. We offer multiple financing and installment options to ensure accessibility for working professionals in India.