Build AI Agents
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Join our FAANG-led program to build AI agents, automate workflows, deploy AI-powered solutions, and prep for the toughest interviews.
Best Suited for:
Live & Flexible Online Classes | Interview Prep | 1:1 Career Support
14 weeks of Agentic AI and 12 weeks of Interview Preparation
3 Live Guided Projects and up to 10 Capstone Projects to choose from
Generative & Agentic AI practitioners from FAANG and other global Tier 1 companies
Agentic AI Skills + FAANG+ interview preparation
Up to 15 sessions with FAANG+ hiring managers/experts
Many companies have started adding Agentic AI skills to job descriptions of several tech roles. We analyzed more than 15,000 JDs and found that ~20% of the roles now require
Cut through the AI noise and master key AI automation skills at your pace, to position yourself at the forefront of Agentic AI.
Learn the full spectrum of Agentic AI, from foundations to real-world deployment, gaining expertise in AI agent workflows and automation.
Learn cutting-edge Agentic AI live with FAANG+ experts who bring practical, cutting-edge insights to the class.
Gain hands-on training in building AI agents to solve complex industry challenges, such as fraud detection and security threat mitigation.
Focus on tailored AI applications and leverage the power of Agents relevant to PMs, TPMs, EMs, and SDEs. Topics include AI-powered product execution, LLMOps, technical feasibility, and managing AI teams.
With an NPS Score of 55 & and average rating of 4.75+ for our Applied GenAI program, learners love our structured and hands-on approach.
Foundational Materials
Specialized Sessions
Projects are subject to change as per industry inputs. Choose from one of 4 Capstone Projects.
AI-Powered DevOps Assistant
AI-Powered Patient Assistant
AI-Powered Security Auditor
AI-Driven Legal Document Analyzer
AI Supply Chain Optimization Assistant
Automated Code Reviewer/Pull Request Reviewer Bot Powered by LLMs
Call Center Summarization App Powered by LLMs
Email Generator App
Resume/ATS scoring assistant
BYOP [Bring Your Project]
Autonomous ETL/ELT Agent for DevOps-Driven Data Engineering
Build an intelligent multi-agent system that automates end-to-end data pipeline development from requirements to production deployment. A Story-Parser agent extracts intents from natural language, a Codegen agent builds Spark/Databricks pipelines, a QA agent auto-writes tests, a DevOps agent raises pull requests, and a Deployer/Orchestrator schedules runs via Airflow/ADF. The system uses GPT/Hugging Face for requirement parsing, LangChain/Semantic Kernel for prompt-to-code translation, and Great Expectations/Delta Live for data quality enforcement. Built-in guardrails include schema validation, NULL checks, and business-rule tests via ScalaTest. Deploy cloud-ready outputs with CI/CD hooks that commit code, open PRs with test artifacts, and deploy JARs/notebooks to Databricks/Azure Synapse, supporting Parquet/CSV/Delta formats on ADLS/S3.
Intelligent Data Quality System
Create a comprehensive multi-agent data quality copilot that transforms DQ management from reactive firefighting to proactive intelligence. A Query Agent converts natural language to SQL, a Data Quality Agent evaluates completeness, consistency, timeliness, accuracy, and relevance, while a Report Agent generates HTML dashboards to surface issues rapidly. Plug-and-play connectors scan databases, data lakes, APIs, and streams with auto-profiling capabilities that detect structure, distributions, anomalies, and outliers at scale. The system delivers actionable insights with human-readable explanations and recommended fixes, extensible with an Auto-Fixer agent for closed-loop remediation. The outcome is a smart, end-to-end data quality assistant that reduces manual effort, boosts data trust, and democratizes DQ for business users.
Industry-Wide Financial Trend Analysis
Develop an agentic market intelligence pipeline that delivers always-on sector visibility through automated real-time analysis. The system auto-ingests live stock data, industry news, social sentiment, and optional macroeconomic signals to build comprehensive views of any sector. AI-powered analysis correlates sentiment with price movements and volatility to detect momentum shifts, surface risks and opportunities, and identify industry leaders versus laggards. Users can ask natural language questions like “What’s the trend in renewable energy?” and receive concise outlooks compiled from live data and NLP analysis. The system generates investor-ready HTML/PDF dashboards and summaries for short- and mid-term industry outlooks, complete with key drivers and actionable insights.
Automated Data Insights Generator
Build a chat‑based analytics copilot that lets non‑technical users ask questions in natural language and receive high‑quality textual and visual insights. You’ll implement a CSV‑to‑SQL ingestion pipeline that creates the right schemas/tables and loads datasets into a relational store, then wire up LangChain for streamlined database access and NL→SQL using the SQLDatabaseToolkit and prompt templates. The front end is a Streamlit app with conversational memory for iterative exploration, producing real‑time answers and charts. Extension tracks include adding support for MongoDB/Spark, scheduling recurring insight runs, and exporting outputs to PowerBI, Tableau, or Google Data Studio.
Multi-Agent System for Engineering Productivity & Burnout Monitoring
Multi-Agent AI System for Engineering Roadmap & Strategy Planning
AI Agent for Cloud Cost Optimization in Engineering Workloads
AI-Powered Stakeholder Management Bot
Multi-Agent AI System for Program Risk Management
AI-Driven Engineering Capacity & Resource Allocation Agent
AI-Powered Feature Prioritization Tool
Customer Sentiment Analysis & Roadmap Alignment
AI-Driven Competitive Landscape Analysis
AI-Powered Security Auditor
AI-Driven Project Management & Task Automation
AI-Powered Knowledge Management & Retrieval System
Projects are subject to change as per industry inputs. Choose from one of 4 Capstone Projects.
AI-Powered DevOps Assistant
AI-Powered Patient Assistant
AI-Powered Security Auditor
AI-Driven Legal Document Analyzer
AI Supply Chain Optimization Assistant
Automated Code Reviewer/Pull Request Reviewer Bot Powered by LLMs
Call Center Summarization App Powered by LLMs
Email Generator App
Resume/ATS scoring assistant
BYOP [Bring Your Project]
Autonomous ETL/ELT Agent for DevOps-Driven Data Engineering
Build an intelligent multi-agent system that automates end-to-end data pipeline development from requirements to production deployment. A Story-Parser agent extracts intents from natural language, a Codegen agent builds Spark/Databricks pipelines, a QA agent auto-writes tests, a DevOps agent raises pull requests, and a Deployer/Orchestrator schedules runs via Airflow/ADF. The system uses GPT/Hugging Face for requirement parsing, LangChain/Semantic Kernel for prompt-to-code translation, and Great Expectations/Delta Live for data quality enforcement. Built-in guardrails include schema validation, NULL checks, and business-rule tests via ScalaTest. Deploy cloud-ready outputs with CI/CD hooks that commit code, open PRs with test artifacts, and deploy JARs/notebooks to Databricks/Azure Synapse, supporting Parquet/CSV/Delta formats on ADLS/S3.
Intelligent Data Quality System
Create a comprehensive multi-agent data quality copilot that transforms DQ management from reactive firefighting to proactive intelligence. A Query Agent converts natural language to SQL, a Data Quality Agent evaluates completeness, consistency, timeliness, accuracy, and relevance, while a Report Agent generates HTML dashboards to surface issues rapidly. Plug-and-play connectors scan databases, data lakes, APIs, and streams with auto-profiling capabilities that detect structure, distributions, anomalies, and outliers at scale. The system delivers actionable insights with human-readable explanations and recommended fixes, extensible with an Auto-Fixer agent for closed-loop remediation. The outcome is a smart, end-to-end data quality assistant that reduces manual effort, boosts data trust, and democratizes DQ for business users.
Industry-Wide Financial Trend Analysis
Develop an agentic market intelligence pipeline that delivers always-on sector visibility through automated real-time analysis. The system auto-ingests live stock data, industry news, social sentiment, and optional macroeconomic signals to build comprehensive views of any sector. AI-powered analysis correlates sentiment with price movements and volatility to detect momentum shifts, surface risks and opportunities, and identify industry leaders versus laggards. Users can ask natural language questions like “What’s the trend in renewable energy?” and receive concise outlooks compiled from live data and NLP analysis. The system generates investor-ready HTML/PDF dashboards and summaries for short- and mid-term industry outlooks, complete with key drivers and actionable insights.
Automated Data Insights Generator
Build a chat‑based analytics copilot that lets non‑technical users ask questions in natural language and receive high‑quality textual and visual insights. You’ll implement a CSV‑to‑SQL ingestion pipeline that creates the right schemas/tables and loads datasets into a relational store, then wire up LangChain for streamlined database access and NL→SQL using the SQLDatabaseToolkit and prompt templates. The front end is a Streamlit app with conversational memory for iterative exploration, producing real‑time answers and charts. Extension tracks include adding support for MongoDB/Spark, scheduling recurring insight runs, and exporting outputs to PowerBI, Tableau, or Google Data Studio.
Multi-Agent System for Engineering Productivity & Burnout Monitoring
Multi-Agent AI System for Engineering Roadmap & Strategy Planning
AI Agent for Cloud Cost Optimization in Engineering Workloads
AI-Powered Stakeholder Management Bot
Multi-Agent AI System for Program Risk Management
AI-Driven Engineering Capacity & Resource Allocation Agent
AI-Powered Feature Prioritization Tool
Customer Sentiment Analysis & Roadmap Alignment
AI-Driven Competitive Landscape Analysis
AI-Powered Security Auditor
AI-Driven Project Management & Task Automation
AI-Powered Knowledge Management & Retrieval System
+ Instructors to Train You
Our engineers land high-paying and rewarding offers from the biggest tech companies, including Facebook, Google, Microsoft, Apple, Amazon, Tesla, and Netflix.
Placed at:
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!
Placed at:
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.
Placed at:
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.
Placed at:
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.
hiring managerWhat makes our mock Interviews the best:
Interview with the best. No one will prepare you better!
Practice for your target domain - Back-End Engineering
Identify and work on your improvement areas
Get the most realistic experience possible
Learn more about Interview Kickstart and the EdgeUp Program by joining the free pre-enrollment webinar.
FAQs
What is EdgeUp and who is it for?
EdgeUp is an advanced AI program designed to help software engineers, tech managers, product leaders, and other tech professionals master Agentic AI—building, deploying, and automating with AI agents—to land $300K+ roles at FAANG+ companies. It has 14 weeks of Agentic AI and 12 weeks of domain-tailored Interview Preparation.
What is Agentic AI and why is it important now?
Agentic AI involves using autonomous agents that can make decisions, coordinate with other agents, and execute tasks using LLMs. Over 10% of tech job descriptions now demand these skills—this program helps you stay relevant and competitive.
What kinds of roles can this course help me land?
The program is geared toward helping you transition into roles such as AI-enabled Software Engineers, AI-focused Product Managers, Engineering Managers in AI initiatives, and other high-paying technical roles in top-tier companies like FAANG+.
What tools and frameworks will I learn in this program?
You’ll get hands-on with 50+ tools, including LangChain, CrewAI, LlamaIndex, LangGraph, Streamlit, Gradio, Zapier, Docker, Kubernetes, OpenAI Function Calling, Claude API, Gemini API, and many more.
How is the program structured?
The Agentic AI modules include 60+ hours of live expert-led sessions, 30+ hours of guided project work, and 20+ hours of specialized sessions. It features 3 live projects and a selection of industry relevant capstone projects. Once the Agentic AI portions are completed, you will spend 12 weeks preparing for the toughest technical interviews.
Is there a coding prerequisite?
For Software Engineering track, relevant coding experience is required. For participants in non-software programs, coding experience is good-to-have, but not mandatory.
What are Live Guided Projects vs. Capstone Projects?
Live Guided Projects involve real-time, instructor-led sessions where you build systems such as SQL query engines or financial bots. Capstone Projects are more independent but come with expert feedback to refine your skills.
What does “customized learning track” mean?
The program offers two tailored tracks: a Python-based, hands-on AI engineering track for software engineers, and a no-code/low-code track for managers, PMs, TPMs, and tech leads—ensuring role-specific value.
Do I get interview prep support?
Yes. You get up to 15 mock interview sessions with hiring managers and technical experts from FAANG+ companies, helping you prepare for real interview scenarios. Additionally, there are
What career support do I receive?
You’ll receive personalized 1:1 career coaching, resume reviews, and LinkedIn audits, along with targeted guidance to position yourself for FAANG+ roles.
What kind of real-world problems will I work on?
You’ll work on complex challenges like fraud detection, security threat mitigation, AI-powered dashboards, LLM agents, RAG-based systems, and financial analysis bots—translating theory into portfolio-ready projects.
What outcomes can I expect after completing this program?
Alumni report an average compensation of $312,275, a 5x ROI on course investment, and successful transitions into top-tier companies with AI-focused roles.
How does this course compare to a general AI or ML program?
Unlike generic programs, EdgeUp focuses exclusively on Agentic AI—a fast-emerging skill area. It combines practical agent-building skills with FAANG+ interview prep for a career-focused, ROI-driven experience.
Are the instructors qualified to teach advanced AI topics?
Absolutely. The instructors are AI/ML practitioners from FAANG and other Tier 1 companies who bring practical, production-level experience to the classroom.
Can I take this program if I’m a PM, TPM, or EM without a deep coding background?
Yes. The program offers a no-code/low-code learning track and focuses on tools, system thinking, and strategic implementation of AI—making it accessible and valuable for non-coding professionals in technical leadership roles.
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Join 25,000+ tech professionals who’ve accelerated their careers with cutting-edge AI skills
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600+ MAANG+ Instructors
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Time Zone: Asia/Kolkata
Time Zone: Asia/Kolkata
Hands-on AI/ML learning + interview prep to help you win
Explore your personalized path to AI/ML/Gen AI success
