Move From Delivery Oversight to AI Program Leadership

Master the AI stack, multi-agent frameworks, and real-world execution strategies used by MAANG+ TPMs.

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Course Highlights

Best Suited for

TPMs looking to leverage AI in streamlining and optimizing workflows.
Professionals transitioning into AI-driven program management roles.
No prior AI or deep technical knowledge required, accessible to TPMs from diverse backgrounds.

Duration

14 weeks (9 weeks core content + 5 weeks domain-specific capstones)

Course hours

60+ hours of live training with FAANG+ experts

Projects

3 Live Guided Projects, 2 Capstone Projects

Instructors

Senior FAANG and Tier-1 TPMs, AI Leads, and Software Engineers.

Curriculum coverage

Foundations of Agentic AI, Multi-Agent Financial Systems, Optimization Strategies for AI Agents, 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

Careers transformed

0 K+

Average package for alumni

10 LPA

Average ROI on course price

0 x

20+ Tools & Tech You’ll Learn

Why Choose Our Transformative GenAI Program for TPMs

Mentorship From 600+ FAANG+ Leaders

Learn directly from TPMs, AI architects, and engineering leaders who are building GenAI systems at top-tier companies.

Flexible Learning Format Designed for TPMs

Learn at a structured pace that complements your full-time responsibilities—with live instruction and flexible modules.

Covers the Full GenAI Execution Stack

Go from core agentic principles to enterprise-grade use cases like orchestration, automation, and AI-driven decision systems.

Focused on TPM-Relevant AI Applications

Explore how GenAI fits into technical program management—from RAG and API workflows to risk management and delivery strategy.

Hands-On Projects That Reflect TPM Challenges

Work on two live guided builds and AI capstones that simulate stakeholder communication, cross-team orchestration, and resource automation.

Backed by Proven Learner Satisfaction

With an NPS of 55 and an average rating of 4.75+ out of 5, our hands-on TPM-focused programs are trusted by top engineering leaders across domains.

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Detailed Curriculum of Our Transformative GenAI Program for TPM

Applied Agentic AI Program for TPM

Fundamentals of Agentic AI

Build Your First AI Agent

Specialized Session: Prompt Engineering and No-Code Tools (Self-paced)

Building Applications with LLMs & Agents - Lite

Build Your Advanced Agent

Specialized Session: Product Design and User Experience with AI & ML Products (Self-paced)

Evaluation & Optimizing AI Agents

Performance & Cost Efficiency Specialized Session: Defining AI-Powered Product Requirements (Self-paced)

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 Specialized Session: AI Product Execution and Implementation (Self-paced)

Capstone Project 1

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 Program

Applied Agentic AI Program for TPM

Fundamentals of Agentic AI

Build Your First AI Agent

Specialized Session: Prompt Engineering and No-Code Tools (Self-paced)

Building Applications with LLMs & Agents - Lite

Build Your Advanced Agent

Specialized Session: Product Design and User Experience with AI & ML Products (Self-paced)

Evaluation & Optimizing AI Agents

Performance & Cost Efficiency Specialized Session: Defining AI-Powered Product Requirements (Self-paced)

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 Specialized Session: AI Product Execution and Implementation (Self-paced)

Capstone Project 1

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.

Live Guided Projects and Capstone 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.

Capstone Projects

AI-Powered Stakeholder Management Bot

Build a system that will help TPMs track and manage stakeholder interactions by summarizing emails, meeting transcripts, and sentiment trends. It alerts TPMs when key stakeholder engagement scores decline, enabling proactive relationship management.

Multi-Agent AI System for Program Risk Management

Build a system that will help TPMs track and manage stakeholder interactions by summarizing emails, meeting transcripts, and sentiment trends. It alerts TPMs when key stakeholder engagement scores decline, enabling proactive relationship management.

AI-Driven Engineering Capacity & Resource Allocation Agent

Automate workload balancing and developer resource forecasting by creating an agentic system that will analyze Jira and GitHub activity, predict bandwidth constraints, and integrate hiring needs with sprint planning. Using LangChain, CrewAI, and OpenAI embeddings, it optimizes engineering resource allocation.

Projects are subject to change as per industry inputs. Choose from one of 3 Capstone Projects.

Capstone Projects

AI-Powered Stakeholder Management Bot

Build a system that will help TPMs track and manage stakeholder interactions by summarizing emails, meeting transcripts, and sentiment trends. It alerts TPMs when key stakeholder engagement scores decline, enabling proactive relationship management.

Multi-Agent AI System for Program Risk Management

Automate risk assessment for large-scale AI/ML programs by building a system that includes agents for scanning project documents, tracking dependencies, and suggesting mitigation strategies. Built with LangChain, CrewAI, OpenAI function calling, and RAG-based retrieval, it will ensure proactive risk management.

AI-Driven Engineering Capacity & Resource Allocation Agent

Automate workload balancing and developer resource forecasting by creating an agentic system that will analyze Jira and GitHub activity, predict bandwidth constraints, and integrate hiring needs with sprint planning. Using LangChain, CrewAI, and OpenAI embeddings, it optimizes engineering resource allocation.

Projects are subject to change as per industry inputs.

+ Instructors to Train You

Get mentored by AI/ML leaders who are driving 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 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

Do I need prior AI or ML knowledge to take this course?

Not at all. This course is designed for TPMs with no background in AI or ML. It starts with the basics and progresses into practical, agentic workflows and low-code implementations for enterprise-scale programs.

What exactly is Agentic AI, and how does it differ from traditional AI?

Agentic AI systems use LLMs and external tools to operate autonomously, making decisions, adapting to feedback, and executing tasks without continuous human input. Unlike rule-based or reactive systems, they are capable of reasoning, goal planning, and real-time orchestration.

How is this course different from typical AI bootcamps or ML certifications?

This isn’t an ML coding bootcamp. It focuses on helping TPMs lead GenAI initiatives using real tools, not building models. You’ll learn how to manage, deploy, and scale agentic systems inside real-world engineering programs.

What kind of real-world projects will I build?

You’ll build systems like a Financial Multi-Agent Platform and a Healthcare Assistant, along with capstones like an AI Stakeholder Manager or Program Workflow Optimizer, tailored for TPMs leading complex AI/ML rollouts.

What topics and tools are covered in the course?

You’ll get hands-on with tools like LangChain, AutoGen, LangGraph, CrewAI, Zapier, Make, Postman AI Builder, LangFlow, Bubble, Python, SQL, and Streamlit—covering both low-code and programmable workflows.

What’s the structure and duration of the course?

The course runs for 14 weeks, including 9 weeks of core modules and 5 weeks of domain-specific content with live guided projects and capstones.

How much time should I expect to spend each week?

On average, TPMs spend about 10 hours per week across live classes, project sessions, and self-paced learning. Additional interview prep and career content is also available.

What are some real-world applications of Agentic AI?

Agentic AI is being used in:

Program management: stakeholder updates, resource planning, delivery tracking
Healthcare: diagnostics and personalized treatment agents
Finance: fraud detection and advisory bots
Support: AI-powered agents that resolve tickets autonomously
Supply chains: real-time optimization and disruption handling
Robotics: adaptive behavior in dynamic environments

How do the Capstone Projects strengthen my job applications?

Capstone Projects are vetted by FAANG+ mentors and reflect real business scenarios. With 67% of hiring managers now prioritizing hands-on skills, these projects serve as high-impact portfolio assets.

What kind of job support or placement help is provided?

We offer personalized job targeting, referrals, and mock interview support. Past learners have landed roles with average compensation of ₹60 LPA, with some transitioning to global TPM roles in AI teams.

Will I get to interact with live instructors?

Yes. You’ll attend live sessions with instructors from top-tier companies. These include group coaching, guided reviews, and career prep sessions led by real MAANG+ TPMs and hiring managers.

What happens if I miss a live class?

Every session is recorded and made available for on-demand viewing. You can catch up anytime or revisit content during project work or interview prep.

What kind of support will I receive during the course?

You’ll receive:

Weekly group coaching in small cohorts
Practice and project feedback sessions
Anytime TA support via email
Access to all class recordings for flexible revision

How does this course help me break into FAANG+ TPM roles?

This course is designed to help you build strong Agentic AI skills that are becoming must-haves for TPMs. For FAANG+ interview success, you can complement it with our structured, 8 to 12-week Interview Lab program to get interview coaching, mock sessions, and career support designed to help you land MAANG+ offers.

How is this program customized for TPMs?

The curriculum is tailored to help TPMs manage GenAI execution—not code. It focuses on delivery strategy, architecture understanding, stakeholder management, and technical program leadership in AI environments.

Is financing or a payment plan available?

Yes. We offer multiple payment options to make the program more accessible for working professionals in India.