Lead Teams That Build Intelligent Systems

Learn to guide your engineers, PMs, and DS partners in shipping real-world agentic AI products

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Course Highlights

Course hours

60+ hours of live training with FAANG+ experts

Duration

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

Projects

3 Live Guided Projects, 2 Capstone Projects

Instructors

Senior FAANG and Tier-1 EMs, 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

Get your copy of the course brochure

Turbocharge Your Career with 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

30+ Tools & Tech You’ll Learn

Why Choose Our Transformative GenAI Program for EMs

Learn from 600+ FAANG+ Mentors

Get hands-on guidance from top engineering leaders who’ve built and deployed GenAI systems at scale.

Built for Engineering Leaders

Designed to fit into your work schedule while helping you lead technical teams building agentic AI products.

Comprehensive Curriculum for EMs

Master core Agentic AI skills and advance to building enterprise-grade AI systems and automation workflows.

Tailored for Engineering Leadership Roles

Work with tools and strategies like roadmap planners, sprint agents, analytics bots, and cost monitors built for EMs.

Hands-On Projects with Real Impact

Build stakeholder automation agents and resource allocators through guided, domain-specific capstone projects.

Track Record of Learner Satisfaction

Our program has an NPS of 55 and a learner rating of 4.75+ across 25,000+ professionals from 9 countries.

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Detailed Curriculum of Our Transformative GenAI Program for EM

Applied Agentic AI Program for EM

Fundamentals of Agentic AI

Build Your First AI Agent

Building Applications with LLMs & Agents - Lite

Build Your Advanced Agent | Specialized Session: Data Quality and Integration Challenges

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 Specialized Session: Getting Ready for AI Solutions (Self-paced)

Live Guided Project - Automated Data Insights Generator Specialized Session: Technical Feasibility and ROI of GenAI Projects (self-paced)

Capstone Project 1: Initiation

Domain-specific case studies I

Capstone Project 1: Final Presentation, Capstone Project 2 Initiation Leading AI Teams and Providing Technical Guidance

Domain-specific case studies II

Capstone Project 2: Final Presentation

Detailed Curriculum of Our Transformative GenAI Program

Detailed Curriculum of Our Applied Agentic AI Program for EM

Fundamentals of Agentic AI

Build Your First AI Agent

Building Applications with LLMs & Agents - Lite

Build Your Advanced Agent | Specialized Session: Data Quality and Integration Challenges

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 Specialized Session: Getting Ready for AI Solutions (Self-paced)

Live Guided Project - Automated Data Insights Generator Specialized Session: Technical Feasibility and ROI of GenAI Projects (self-paced)

Capstone Project 1: Initiation

Domain-specific case studies I

Capstone Project 1: Final Presentation, Capstone Project 2 Initiation Leading AI Teams and Providing Technical Guidance

Domain-specific case studies II

Capstone Project 2: Final 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

Multi-Agent System for Engineering Productivity & Burnout Monitoring

Build a system that tracks engineering efficiency and detects burnout risks. It includes a workload analysis agent monitoring sprint progress, a burnout detection agent analyzing work hours and meeting fatigue, and an optimization agent suggesting workload balancing. Integrated with Jira and Slack, this CrewAI-based system will enhance team well-being and productivity.

Multi-Agent AI System for Engineering Roadmap & Strategy Planning

Automate strategic planning by designing a system that analyzes industry trends, workload, and tech stack evolution. It features agents for tracking technology trends, evaluating new frameworks, and adjusting roadmaps based on resources. Use LangGraph, OpenAI, and real-time web scraping to ensure data-driven decision-making.

AI Agent for Cloud Cost Optimization in Engineering Workloads

Automate cost tracking and optimization for AI/ML workloads with a multi-agent system that monitors cloud spend across AWS, GCP, and Azure, suggests cost-effective configurations, and alerts teams to unexpected spikes. Leverage LangChain, AWS Cost Explorer API, and Terraform to optimize cloud expenses efficiently.

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

Multi-Agent System for Engineering Productivity & Burnout Monitoring

Build a system that tracks engineering efficiency and detects burnout risks. It includes a workload analysis agent monitoring sprint progress, a burnout detection agent analyzing work hours and meeting fatigue, and an optimization agent suggesting workload balancing. Integrated with Jira and Slack, this CrewAI-based system will enhance team well-being and productivity.

Multi-Agent AI System for Engineering Roadmap & Strategy Planning

Automate strategic planning by designing a system that analyzes industry trends, workload, and tech stack evolution. It features agents for tracking technology trends, evaluating new frameworks, and adjusting roadmaps based on resources. Use LangGraph, OpenAI, and real-time web scraping to ensure data-driven decision-making.

AI Agent for Cloud Cost Optimization in Engineering Workloads

Automate cost tracking and optimization for AI/ML workloads with a multi-agent system that monitors cloud spend across AWS, GCP, and Azure, suggests cost-effective configurations, and alerts teams to unexpected spikes. Leverage LangChain, AWS Cost Explorer API, and Terraform to optimize cloud expenses efficiently.

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

What is Agentic AI, and how is it different from traditional AI?

Agentic AI refers to autonomous systems that plan and act using LLMs and other tools—without constant human instructions. Unlike traditional AI, which is reactive and instruction-based, Agentic AI adapts, reasons, and improves independently, perfect for EM-led automation and intelligence.

Do I need prior AI or ML experience to enroll in this course?

No. This course is beginner-friendly and designed for EMs from varied tech backgrounds. A Python crash course is included, but no prior AI/ML expertise is needed.

How much time do I need to commit weekly?

Plan for ~10 hours per week. The course spans 14 weeks—9 weeks of core content and 5 weeks of domain-specific capstone projects, including live instruction and peer feedback.

What does this course teach?

You’ll learn how to embed Agentic AI into engineering processes—from automating sprint tracking and cloud cost monitoring to leading teams building AI-powered systems.

How is this different from other AI or ML courses?

This course emphasizes real-world engineering use cases and leadership, not ML theory. You’ll use low-code/no-code tools and build systems you can deploy, guided by FAANG+ engineering leaders.

Will I learn how to lead AI teams?

Yes. Dedicated modules focus on leading AI teams, evaluating ROI, collaborating cross-functionally, and architecting scalable AI systems.

What tools and platforms will I learn?

You’ll use LangChain, LangGraph, CrewAI, Zapier, Make, Postman AI Builder, Streamlit, Pinecone, LlamaIndex, FastAPI, and more.

What kind of projects will I build in the course?

You’ll build AI agents like:
– Sprint analytics bots
– Cloud cost tracking systems
– Strategic roadmap planners
All are hands-on, portfolio-ready, and tailored to the EM context.

How do Capstone Projects help my career?

Capstones are reviewed by FAANG+ mentors for scalability and impact, proving your readiness to lead AI initiatives in engineering orgs.

How does this course help me land a FAANG+ job?

This course equips you with in-demand Agentic AI skills that are becoming essential in top-tier EM roles. Pairing it with our 8–12 week Interview Lab gives you access to expert-tailored coaching, mock interviews, and placement support to help you land coveted roles at MAANG+ companies.

What support do I get during the course?

– Weekly small-group coaching
– Assignment reviews and project feedback
– TA support over email anytime
– Access to all live recordings on demand

What if I miss a live session?

All live sessions are recorded and can be accessed anytime. You’ll never fall behind.

Is there a payment plan?

Yes. Multiple financing options are available to ensure accessibility for working professionals.

What kind of learners succeed in this course?

Engineering Managers who want to lead AI-driven teams, drive process automation, and grow into strategic GenAI leadership roles thrive in this course, especially those targeting top-tier tech companies.