Redefine Engineering Leadership with Real-World Agentic AI

Manage AI-centric engineering projects with confidence, using hands-on experience and mentorship from industry experts.

4.8

4.7

4.8

Register for Free AI Career Session

And learn all you need to know about the course

Next webinar starts in

00 DAYS

:

00 HR

:

00 MINS

:

00 SEC

Course Highlights

Best Suited for:

EMs looking to integrate Agentic AI into their teams’ workflows for enhanced productivity, automation, and decision-making.
Technical leaders transitioning into AI-driven engineering leadership roles who want to understand, manage, and scale AI-powered initiatives effectively.
EMs eager to leverage AI for optimizing engineering processes, driving efficiency, and enhancing team performance.

Course hours

30+ hours of live interaction with industry experts from top tech companies
3 Live Guided Projects, 2 Capstone Projects

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

EdgeUp

Additional FAANG+ interview preparation for the AI-enhanced roles you’d apply for

Average package for alumni

$ 112275

Careers transformed

0 K+

Average ROI on course price

0 x

30+ Tools & Tech You’ll Learn

Why Choose Our Applied Agentic AI Program for EMs:

Learn from 600+ FAANG+ Mentors:

Gain mentorship and practical insights from top FAANG+ experts who are actively shaping the future of Agentic AI.

Structured Learning, Built for EMs:

Master critical Agentic AI skills without getting lost in noise — at a pace that fits your schedule and leadership responsibilities.

Industry-Relevant Curriculum:

Cover everything from foundational Agentic AI concepts to advanced enterprise-grade AI workflows, automation, and decision-making systems.

Domain-Specific Learning for EMs:

Focus on tools and strategies that matter — including sprint optimization agents, engineering analytics bots, cost monitoring agents, and roadmap planners.

Real-World Hands-On Projects:

Tackle practical challenges through live guided projects and domain-specific capstones — including stakeholder management automation and resource allocation agents.

Proven Learner Success:

With an NPS of 55 and an average learner rating of 4.75+, our structured, hands-on approach consistently earns high praise from tech professionals like you.

Register for Free AI Career Session

And learn all you need to know about the course

Next webinar starts in

00 DAYS

:

00 HR

:

00 MINS

:

00 SEC

Detailed Curriculum of Our Applied Agentic AI for EM

Applied Agentic AI for EM

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: Final Presentation, Capstone Project 2 Initiation

Domain-specific case studies II

Capstone Project 2: Final Presentation

Specialized Sessions

Data Quality and Integration Challenges

Getting ready for AI Solutions

Technical Feasibility and ROI of GenAI Projects

Leading AI Teams and Providing Technical Guidance

*EM interview prep is available with EdgeUp

Detailed Curriculum of Our Agentic AI Program

Applied Agentic AI for EM

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: Final Presentation, Capstone Project 2 Initiation

Domain-specific case studies II

Capstone Project 2: Final Presentation

Specialized Sessions

Data Quality and Integration Challenges

Getting ready for AI Solutions

Technical Feasibility and ROI of GenAI Projects

Leading AI Teams and Providing Technical Guidance

*EM interview prep is available with EdgeUp

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.

Live Guided Projects

Interactive AI Assistant

Resume/ATS scoring assistant

Advanced Horizontal Multi-Agent System for Finance

Automated Data Insights Generator

Projects are subject to change as per industry inputs.

Capstone Projects

Projects are subject to change as per industry inputs. Choose from one of 3 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 monitor cloud spend across AWS, GCP, and Azure, suggest cost-effective configurations, and alert 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.

Capstone Projects

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

Multi-Agent System for Engineering Productivity & Burnout Monitoring

Resume/ATS scoring assistant

Multi-Agent AI System for Engineering Roadmap & Strategy Planning

AI Agent for Cloud Cost Optimization in Engineering Workloads

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

FAANG+ Instructors to Train You

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

Ashish Desai

Head of Engineering, Meta AI

Ralph Blanes

Research Software Engineer, Ex-Google

Rishabh Misra

Lead ML Engineer & Researcher, Ex-Google

Behnoosh Parsa

Senior Applied Scientist - GenAI @ Amazon

Ujjwal Das Gupta

Senior ML Engineer, Ex-Google, Ex-Apple

Shruti Gol

Senior Product Manager, ex-Microsoft

Grace Burgio

Product Manager, Meta - AR/VR Reality Labs

Praveen Kumar Kashimsetty

Director of Product, Rafay, ex-Meta

Manoj Panikkar

Product Lead (AI/ML), Uber, ex-Walmart

Register for Free AI Career Session

And learn all you need to know about the course

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.

Register for Free AI Career Session

And learn all you need to know about the course

Next webinar starts in

00 DAYS

:

00 HR

:

00 MINS

:

00 SEC

FAQs

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

Agentic AI focuses on autonomous systems that operate proactively to achieve goals using LLMs and other tools, without constant human intervention. Unlike traditional AI, which is often reactive and generally requires explicit instructions for each task, Agentic AI understands its environment, thinks through the goals and how to achieve them, makes decisions, takes actions, learns from its experiences, and adapts its behavior over time.

What are the practical applications of Agentic AI?

Applications of Agentic AI include:

Tech & Program Management:Deploying agents that track sprint progress, monitor PR velocity, generate engineering reports, and flag burnout risks, allowing teams to operate with greater autonomy and precision.
Healthcare: Agents that can monitor patients, analyze medical data, assist with diagnoses, and personalize treatment plans.
Finance: Systems that can manage investments, detect fraud, and provide personalized financial advice autonomously.
Customer Service: Intelligent virtual assistants that can understand user intent, access information, and take actions to resolve issues independently.
Supply Chain Management: Autonomous systems that can analyze demand, predict disruptions, and optimize logistics in real-time.
Robotics: Robots capable of performing complex tasks in unstructured environments, adapting to changes and making decisions on their own.

What does this course teach?

This course teaches Engineering Managers how to integrate Agentic AI into engineering workflows to drive automation, efficiency, and strategic decision-making.

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

No, our Applied Agentic AI Program for Engineering Managers is beginner-friendly and designed for EMs from diverse technical backgrounds. A Python crash course is included.

What kind of projects will I build in the course?

Projects include building an AI agent, automating cloud cost tracking, sprint analytics bots, and strategic roadmap planners.

Will I learn how to lead AI teams?

Yes. Specialized sessions focus on technical guidance, AI leadership, ROI evaluation, and managing AI/ML professionals.

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

Through live sessions led by FAANG+ practitioners, FAANG-focused interview prep, and mock interviews with hiring managers and tech leads. You’ll also build a compelling portfolio with capstone projects reviewed by mentors from companies like Google, Amazon, and Meta.

How much time do I need to commit weekly?

Expect around 10 hours of learning per week , covering live sessions, project work, and domain-specific learning. The structure is of 14 weeks—9 weeks of core curriculum, 5 weeks of domain-specific Capstone Projects, with live sessions and peer feedback.

Who are the instructors?

All our instructors are current or former FAANG+ Engineering Leaders with deep expertise in Generative AI, LLMs, and AI/ML.

What tech stack and tools will I learn?

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

What support do I get during the course?

You get access to:

Group coaching (small groups)—one per week
Practice sessions/assignment review sessions—Weekly
TA support over email—Any time

How is this different from other AI or ML courses?

This course focuses on real-world engineering use cases, with no-code/low-code tools, leadership development, and Agentic AI—not abstract theory or deep ML.

What happens if I miss a live session?

All live sessions are recorded and accessible on-demand. You can catch up anytime and even rewatch for revision.

Is there a payment plan?

Yes! We offer multiple financing options to make the course more accessible to working professionals.