Build Autonomous AI Systems That Think, Plan, and Act

Build autonomous agents that reason, plan, and act. Go beyond prompt engineering - learn to build multi-agent systems, integrate LLMs, and deploy intelligent solutions that solve business problems.

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Course Highlights

Suitable for

Tech professionals from any domain who want to build AI Agents and lead AI-driven automation strategies with FAANG+ mentorship

Duration

14 weeks

Course hours

60+ hours of live interaction with industry experts from top tech companies

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

Projects

2 Live Guided Projects, Multiple Capstone Projects to choose from

Customised Learning Tracks

Expertly designed tracks to enable maximum outcomes.

AI Engineering centric approach with Python-based frameworks for Software Engineers

Use-case centric approach with No-Code/Low-Code platforms for Tech Managers & other tech and product professionals

Instructors

Generative & Agentic AI Practitioners from FAANG and other Tier 1 companies of the world

Curriculum coverage

AI Agents, Multi-Agent Systems, Agentic AI Strategies, Autonomous AI Agents, RAG, AI Agents & LLM Orchestration, real-world application of Agentic AI, and more

EdgeUp

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

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Turbocharge Your Career with Transformative 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 Transformative Gen AI

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

Careers transformed

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Average package for alumni

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Average ROI on course price

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50+ Tools & Tech You’ll Learn

Why Choose Interview Kickstart’s Transformative GenAI Program

Stay Ahead in the AI Wave

Navigate the noise and focus on the core AI automation skills employers value most, so you can stay ahead in the AI evolution.

Curriculum Designed for Practical Impact

Master the full lifecycle of Agentic AI, covering foundations, real-world frameworks, and deployment workflows, that reflect how automation works in tech today.

Hands-on Projects for Real-World Readiness

Work on industry-relevant projects that train you to build AI agents for fraud detection and security threat mitigation.

Role-Based Learning for Targeted Growth

Focus on tailored GenAI applications and leverage the potential of AI agents tailored to your domain by experts.

Trusted by Working Professionals

With an average rating of 4.75+ on 5 and an NPS of 55, our Transformative Generative AI learners consistently praise the program’s hands-on structure and job-aligned curriculum.

Live Learning With 600+ MAANG Mentors

Learn Agentic AI directly from MAANG+ instructors who bring practical knowledge and insights from leading real-world AI deployments.

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Detailed Curriculum of Our Transformative GenAI Program

Transformative Generative AI for Tech Professionals

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 Projects

Foundation Material (Self-paced)

Laying the Groundwork for AI-Driven Development (Self-paced)

Python For GenAI

Bonus Content: Hands-on with Generative AI Models (Self-paced with live assignment review)

Fundamentals of Agentic AI

Specialized Session #2: Building Effective Prompts and Configuration-Driven Apps (Self-paced)

Build Your First AI Agent

Building Applications with LLMs & Agents - Lite

Building Applications with LLMs & Agents - Advanced

Specialized Session #3: Innovating with Multi-Agent Systems and Specialized Models

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

Specialized Session #4: Harnessing LLM Frameworks for Real-World Development (Self-paced)

Build Your Advanced Agent

Live Guided Project 1: Call Center Conversational Audio Bot with GenAI

Specialized Session #5: From Development to Deployment: Scaling and Debugging AI Models (Self-paced)

Evaluation & Optimizing AI Agents: Performance & Cost Efficiency

Specialized Session #6: Managing Data Pipelines and Integrating APIs (Self-paced)

Designing Robust and Scalable AI Systems for Modern Applications

Capstone Project

Transformative Generative AI for PMs

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

Live Guided Project - Automated Data Insights Generator

Capstone Project 1: Conceptualize the integration of GenAI into an existing Product

Domain-Specific Case Studies & Execution Strategy Capstone Project #1: Final Presentation, Peer Review & Live Feedback Capstone Project #2 Initiation: Build a Low-Code / No-Code AI Agent to optimize a workflow for your Domain

Capstone Project 2: Final Presentation, Peer Review & Live Feedback

Transformative Generative AI for TPMs

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

Live Guided Project - Automated Data Insights Generator

Capstone Project #1 Initiation

Capstone Project #2: Final Presentation, Peer Review & Live Feedback

Transformative Generative AI for EMs

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 (Self-paced)

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 & Leadership Sessions Capstone Project #1: Final Presentation, Peer Review & Live Feedback Capstone Project #2 Initiation: Build a Low-Code / No-Code AI Agent to optimize a workflow for your Domain

Capstone Project 2: Final Presentation, Peer Review & Live Feedback

Transformative Generative AI for DEs

Foundation Material (Self-paced) Specialized Session #1: Laying the Groundwork for AI-Driven Development (Self-paced)

Python For GenAI Bonus Content: Hands-on with Generative AI Models (Self-paced with live assignment review)

Fundamentals of Agentic AI Specialized Session #2: Building Effective Prompts and Configuration-Driven Apps (Self-paced)

Build Your First AI Agent

Building Applications with LLMs & Agents - Lite

Building Applications with LLMs & Agents - Advanced Specialized Session #3: Innovating with Multi-Agent Systems and Specialized Models (Self-paced)

LLM Architecture & Pre-training (Deep Dive into LLMs + Training LLMs) Specialized Session #4: Harnessing LLM Frameworks for Real-World Development (Self-paced)

Build Your Advanced Agent

Live Guided Project 1: Call Center Conversational Audio Bot with GenAI Specialized Session #5: From Development to Deployment: Scaling and Debugging AI Models (Self-paced)

Evaluation & Optimizing AI Agents: Performance & Cost Efficiency Specialized Session #6: Managing Data Pipelines and Integrating APIs (Self-paced)

Designing Robust and Scalable AI Systems for Modern Applications

Capstone Project

Detailed Curriculum of Our Transformative GenAI Program

Transformative Generative AI for Tech Professionals

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 Projects

Foundation Material (Self-paced)

Laying the Groundwork for AI-Driven Development (Self-paced)

Python For GenAI

Bonus Content: Hands-on with Generative AI Models (Self-paced with live assignment review)

Fundamentals of Agentic AI

Specialized Session #2: Building Effective Prompts and Configuration-Driven Apps (Self-paced)

Build Your First AI Agent

Building Applications with LLMs & Agents - Lite

Building Applications with LLMs & Agents - Advanced

Specialized Session #3: Innovating with Multi-Agent Systems and Specialized Models

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

Specialized Session #4: Harnessing LLM Frameworks for Real-World Development (Self-paced)

Build Your Advanced Agent

Live Guided Project 1: Call Center Conversational Audio Bot with GenAI

Specialized Session #5: From Development to Deployment: Scaling and Debugging AI Models (Self-paced)

Evaluation & Optimizing AI Agents: Performance & Cost Efficiency

Specialized Session #6: Managing Data Pipelines and Integrating APIs (Self-paced)

Designing Robust and Scalable AI Systems for Modern Applications

Capstone Project

Transformative Generative AI for PMs

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

Live Guided Project - Automated Data Insights Generator

Capstone Project 1: Conceptualize the integration of GenAI into an existing Product

Capstone Project 2: Final Presentation, Peer Review & Live Feedback

Transformative Generative AI for TPMs

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

Live Guided Project - Automated Data Insights Generator

Capstone Project #1 Initiation

Capstone Project #2: Final Presentation, Peer Review & Live Feedback

Transformative Generative AI for EMs

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 (Self-paced)

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

Capstone Project 2: Final Presentation, Peer Review & Live Feedback

Transformative Generative AI for DEs

Foundation Material (Self-paced) Specialized Session #1: Laying the Groundwork for AI-Driven Development (Self-paced)

Python For GenAI Bonus Content: Hands-on with Generative AI Models (Self-paced with live assignment review)

Fundamentals of Agentic AI Specialized Session #2: Building Effective Prompts and Configuration-Driven Apps (Self-paced)

Build Your First AI Agent

Building Applications with LLMs & Agents - Lite

Building Applications with LLMs & Agents - Advanced Specialized Session #3: Innovating with Multi-Agent Systems and Specialized Models (Self-paced)

LLM Architecture & Pre-training (Deep Dive into LLMs + Training LLMs) Specialized Session #4: Harnessing LLM Frameworks for Real-World Development (Self-paced)

Build Your Advanced Agent

Live Guided Project 1: Call Center Conversational Audio Bot with GenAI Specialized Session #5: From Development to Deployment: Scaling and Debugging AI Models (Self-paced)

Evaluation & Optimizing AI Agents: Performance & Cost Efficiency Specialized Session #6: Managing Data Pipelines and Integrating APIs (Self-paced)

Designing Robust and Scalable AI Systems for Modern Applications

Capstone Project

Live Guided Projects and Capstone Projects

Software Engineers

Choose from one of 10 Capstone Projects.

AI-Powered DevOps Assistant

Build an agentic system that automates DevOps workflows through four specialized agents: a Code Analyzer for security reviews, a CI/CD Monitor for deployment oversight, an Infrastructure Scaler for resource management, and an Incident Resolver for system diagnostics. Build it with LangChain, CrewAI, and OpenAI API and integrate with GitHub Actions, AWS Lambda, and containerization tools, while using vector databases and monitoring solutions.

AI-Powered Patient Assistant

Build an assistant that streamlines healthcare services through four specialized agents: a Symptom Checker for initial assessments, an Appointment Scheduler for EHR/EMR integration, a Medical FAQ Bot for patient queries, and an Insurance Advisor for claims guidance. Use LangChain, GPT-4, and healthcare APIs to create a system that offers comprehensive patient support while maintaining secure data management through VectorDB storage.

AI-Powered Security Auditor

Build a comprehensive agentic system utilizing four specialized agents to protect applications: a Vulnerability Scanner for detecting common threats, a Code Security Analyzer for OWASP Top 10 compliance, a Log Analyzer for anomaly detection, and a Compliance Checker for regulatory standards. Use tools like LangChain, OpenAI GPT, and OWASP ZAP to ensure robust security through integrated monitoring and analysis.

AI-Driven Legal Document Analyzer

Employ four specialized agents to streamline legal document processing: a Contract Analyzer for extracting key elements, a Compliance Checker for regulatory validation, a Case Law Researcher for finding precedents, and a Summary Generator for creating digestible content. Use LangChain, OpenAI, and OCR tools to offer comprehensive legal document analysis through an interactive interface.

AI Supply Chain Optimization Assistant

Build a multi-agent system designed to automate supply chain processes, including inventory management, demand forecasting, and logistics tracking. The system consists of four agents: a demand forecaster using time-series ML models, an inventory manager analyzing stock levels, a logistics tracker monitoring shipments, and a procurement assistant optimizing supplier contracts. Leverage Python, TensorFlow, XGBoost, LangChain, OpenAI API, SQL/NoSQL databases, and visualization tools like Streamlit in this project.

Automated Code Reviewer/Pull Request Reviewer Bot Powered by LLMs

Enhance software development with an AI-powered pull request (PR) reviewer bot that automates code reviews using Large Language Models (LLMs). This bot provides detailed feedback, identifies bugs, security vulnerabilities, and coding violations, and suggests best practices to streamline the code review process. It improves efficiency and code quality while assisting human reviewers. Integrate with GitHub/GitLab for seamless operation and use models like GPT-4 or Hugging Face Transformers for accurate code analysis. Build with React or Streamlit, and deploy using Docker and AWS for smooth execution.

Call Center Summarization App Powered by LLMs

Enhance call center operations with an AI-powered summarization bot that leverages Large Language Models (LLMs) to generate concise summaries of customer interactions. This tool provides quick overviews, improving decision-making and customer service efficiency. The bot automates manual summary writing, ensuring consistent and accurate records. Integrate with GPT-4, Cohere, or Hugging Face Transformers for superior NLP capabilities. Build the interface with React or Streamlit, and deploy using Docker and AWS for seamless operation.

Email Generator App

Streamline email communication with an AI-powered Email Generator App that leverages Large Language Models (LLMs) to generate professional and contextually accurate email drafts. The app provides quick, reliable suggestions based on user inputs, ensuring high accuracy and relevance. It supports customization and personalization, enhancing the efficiency of email management. Integrate with models like GPT-4, Cohere, or Hugging Face Transformers for superior performance. Build the interface with React or Streamlit, and deploy the application using Docker and AWS for seamless operation.

Resume/ATS scoring assistant

Streamline the hiring process with an AI-powered assistant that automates resume screening and scoring using large language models (LLMs). This tool evaluates resumes against job descriptions, identifying strengths, weaknesses, and alignment with role requirements. It enhances ATS platforms by providing actionable feedback and recommendations to find the best-fit candidates. Integrate with tools like GPT-4, Gemini Pro, and LangChain for seamless operation. Build a user-friendly interface using React, Node.js, and MongoDB, and deploy it on the cloud with Docker and AWS.

BYOP [Bring Your Own Project]

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 participants to build impactful solutions. You will receive guidance on selecting the right tools and frameworks based on project requirements.

Product Managers

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.

Technical Program Managers

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.

Engineering Managers

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.

Data Engineers

Call Center Conversational Audio Bot with GenAI

Enhance call center operations with a voice-activated chatbot powered by Generative AI. Process audio inputs and generate context-aware responses for seamless customer engagement. Features include multilingual support, sentiment analysis, and conversation memory. Integrate Whisper, OpenAI GPT, and LangChain. Use FFmpeg for audio processing and build UIs with Streamlit and Gradio.

Healthcare Agent with LangGraph

Build an intelligent healthcare assistant with LangGraph for structured reasoning and medical knowledge integration. This agent handles patient queries, symptom assessment, and information retrieval through conversation. It features contextual memory, appointment scheduling, medication reminders, and personalized advice. Utilize LangGraph for decision trees, RAG for medical knowledge retrieval, and Streamlit for the interface. Tools include Python, LangGraph, Pinecone, and OpenAI APIs.

Financial Multi-Agent System with LangGraph

Develop a financial advisory system using LangGraph’s multi-agent architecture. Implement specialized agents for market analysis, portfolio management, risk assessment, and recommendations that work collaboratively. Use agent-to-agent communication, parallel tasks, and consensus mechanisms alongside ReAct and Chain-of-Thought prompting for transparent reasoning. Features include data visualization, investment strategies, and scenario planning. Build with LangGraph for orchestration, LangChain for tools, ChromaDB for vector storage, and Streamlit for dashboards.

Tech Professionals

AI-Powered Security Auditor

Build a comprehensive agentic system utilizing four specialized agents to protect applications: a Vulnerability Scanner for detecting common threats, a Code Security Analyzer for OWASP Top 10 compliance, a Log Analyzer for anomaly detection, and a Compliance Checker for regulatory standards. Use tools like LangChain, OpenAI GPT, and OWASP ZAP to ensure robust security through integrated monitoring and analysis.

AI-Driven Project Management & Task Automation

Build a system that leverages multi-agent technology to streamline project workflows. The system will employ specialized agents for task prioritization, resource allocation, and progress monitoring, with each agent handling specific aspects like urgency assessment, manpower distribution, and KPI tracking. Use tools like LangGraph, Jira API, OpenAI, and Zapier to create comprehensive project automation capabilities.

AI-Powered Knowledge Management & Retrieval System

Build a specialized assistant designed to help professionals access information efficiently. Using a multi-agent approach, combine a document ingestion agent for scanning various formats, a semantic search agent for precise information retrieval, and a summarization agent that delivers concise explanations. The system will be built on RAG architecture, utilizing OpenAI and vector databases like Pinecone/Weaviate for optimal performance.

Projects are subject to change as per industry inputs.

Live Guided Projects and Capstone Projects

Software Engineers

Choose from one of 10 Capstone Projects.

AI-Powered DevOps Assistant

Build an agentic system that automates DevOps workflows through four specialized agents: a Code Analyzer for security reviews, a CI/CD Monitor for deployment oversight, an Infrastructure Scaler for resource management, and an Incident Resolver for system diagnostics. Build it with LangChain, CrewAI, and OpenAI API and integrate with GitHub Actions, AWS Lambda, and containerization tools, while using vector databases and monitoring solutions.

AI-Powered Patient Assistant

Build an assistant that streamlines healthcare services through four specialized agents: a Symptom Checker for initial assessments, an Appointment Scheduler for EHR/EMR integration, a Medical FAQ Bot for patient queries, and an Insurance Advisor for claims guidance. Use LangChain, GPT-4, and healthcare APIs to create a system that offers comprehensive patient support while maintaining secure data management through VectorDB storage.

AI-Powered Security Auditor

Build a comprehensive agentic system utilizing four specialized agents to protect applications: a Vulnerability Scanner for detecting common threats, a Code Security Analyzer for OWASP Top 10 compliance, a Log Analyzer for anomaly detection, and a Compliance Checker for regulatory standards. Use tools like LangChain, OpenAI GPT, and OWASP ZAP to ensure robust security through integrated monitoring and analysis.

AI-Driven Legal Document Analyzer

Employ four specialized agents to streamline legal document processing: a Contract Analyzer for extracting key elements, a Compliance Checker for regulatory validation, a Case Law Researcher for finding precedents, and a Summary Generator for creating digestible content. Use LangChain, OpenAI, and OCR tools to offer comprehensive legal document analysis through an interactive interface.

AI Supply Chain Optimization Assistant

Build a multi-agent system designed to automate supply chain processes, including inventory management, demand forecasting, and logistics tracking. The system consists of four agents: a demand forecaster using time-series ML models, an inventory manager analyzing stock levels, a logistics tracker monitoring shipments, and a procurement assistant optimizing supplier contracts. Leverage Python, TensorFlow, XGBoost, LangChain, OpenAI API, SQL/NoSQL databases, and visualization tools like Streamlit in this project.

Automated Code Reviewer/Pull Request Reviewer Bot Powered by LLMs

Enhance software development with an AI-powered pull request (PR) reviewer bot that automates code reviews using Large Language Models (LLMs). This bot provides detailed feedback, identifies bugs, security vulnerabilities, and coding violations, and suggests best practices to streamline the code review process. It improves efficiency and code quality while assisting human reviewers. Integrate with GitHub/GitLab for seamless operation and use models like GPT-4 or Hugging Face Transformers for accurate code analysis. Build with React or Streamlit, and deploy using Docker and AWS for smooth execution.

Call Center Summarization App Powered by LLMs

Enhance call center operations with an AI-powered summarization bot that leverages Large Language Models (LLMs) to generate concise summaries of customer interactions. This tool provides quick overviews, improving decision-making and customer service efficiency. The bot automates manual summary writing, ensuring consistent and accurate records. Integrate with GPT-4, Cohere, or Hugging Face Transformers for superior NLP capabilities. Build the interface with React or Streamlit, and deploy using Docker and AWS for seamless operation.

Email Generator App

Streamline email communication with an AI-powered Email Generator App that leverages Large Language Models (LLMs) to generate professional and contextually accurate email drafts. The app provides quick, reliable suggestions based on user inputs, ensuring high accuracy and relevance. It supports customization and personalization, enhancing the efficiency of email management. Integrate with models like GPT-4, Cohere, or Hugging Face Transformers for superior performance. Build the interface with React or Streamlit, and deploy the application using Docker and AWS for seamless operation.

Resume/ATS scoring assistant

Streamline the hiring process with an AI-powered assistant that automates resume screening and scoring using large language models (LLMs). This tool evaluates resumes against job descriptions, identifying strengths, weaknesses, and alignment with role requirements. It enhances ATS platforms by providing actionable feedback and recommendations to find the best-fit candidates. Integrate with tools like GPT-4, Gemini Pro, and LangChain for seamless operation. Build a user-friendly interface using React, Node.js, and MongoDB, and deploy it on the cloud with Docker and AWS.

BYOP [Bring Your Own Project]

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 participants to build impactful solutions. You will receive guidance on selecting the right tools and frameworks based on project requirements.

Product Managers

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.

Technical Program Managers

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.

Engineering Managers

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.

Data Engineers

Call Center Conversational Audio Bot with GenAI

Enhance call center operations with a voice-activated chatbot powered by Generative AI. Process audio inputs and generate context-aware responses for seamless customer engagement. Features include multilingual support, sentiment analysis, and conversation memory. Integrate Whisper, OpenAI GPT, and LangChain. Use FFmpeg for audio processing and build UIs with Streamlit and Gradio.

Healthcare Agent with LangGraph

Build an intelligent healthcare assistant with LangGraph for structured reasoning and medical knowledge integration. This agent handles patient queries, symptom assessment, and information retrieval through conversation. It features contextual memory, appointment scheduling, medication reminders, and personalized advice. Utilize LangGraph for decision trees, RAG for medical knowledge retrieval, and Streamlit for the interface. Tools include Python, LangGraph, Pinecone, and OpenAI APIs.

Financial Multi-Agent System with LangGraph

Develop a financial advisory system using LangGraph’s multi-agent architecture. Implement specialized agents for market analysis, portfolio management, risk assessment, and recommendations that work collaboratively. Use agent-to-agent communication, parallel tasks, and consensus mechanisms alongside ReAct and Chain-of-Thought prompting for transparent reasoning. Features include data visualization, investment strategies, and scenario planning. Build with LangGraph for orchestration, LangChain for tools, ChromaDB for vector storage, and Streamlit for dashboards.

Tech Professionals

AI-Powered Security Auditor

Build a comprehensive agentic system utilizing four specialized agents to protect applications: a Vulnerability Scanner for detecting common threats, a Code Security Analyzer for OWASP Top 10 compliance, a Log Analyzer for anomaly detection, and a Compliance Checker for regulatory standards. Use tools like LangChain, OpenAI GPT, and OWASP ZAP to ensure robust security through integrated monitoring and analysis.

AI-Driven Project Management & Task Automation

Build a system that leverages multi-agent technology to streamline project workflows. The system will employ specialized agents for task prioritization, resource allocation, and progress monitoring, with each agent handling specific aspects like urgency assessment, manpower distribution, and KPI tracking. Use tools like LangGraph, Jira API, OpenAI, and Zapier to create comprehensive project automation capabilities.

AI-Powered Knowledge Management & Retrieval System

Build a specialized assistant designed to help professionals access information efficiently. Using a multi-agent approach, combine a document ingestion agent for scanning various formats, a semantic search agent for precise information retrieval, and a summarization agent that delivers concise explanations. The system will be built on RAG architecture, utilizing OpenAI and vector databases like Pinecone/Weaviate for optimal performance.

Projects are subject to change as per industry inputs.

FAANG+ 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

What’s the difference between Traditional AI and Agentic AI?

Traditional AI focuses on solving narrow tasks using predefined inputs and outputs. Agentic AI, on the other hand, enables autonomous agents that can reason, plan, and coordinate with other agents to accomplish complex goals. This course trains you in orchestrating such agents across real-world use cases.

Do I need prior AI/ML experience to join this course?

No prior AI/ML experience is required. Basic programming knowledge is recommended. The course is designed for technical professionals who want to implement AI-driven automation and intelligent workflows.

What are the prerequisites for this course?

Familiarity with Python (preferred but not mandatory)
Interest in AI workflows, automation, and intelligent systems
Willingness to learn Vibe Coding for AI agent orchestration

How is this course different from other AI/ML programs?

Most programs focus narrowly on prompt engineering or LLM usage. This course covers:

Hands-on training with CrewAI, LangChain, AutoGen, and other agent frameworks
Multi-agent orchestration for intelligent workflows

Deployment strategies using cloud-native and automation-first tools

What kind of projects will I work on?

You’ll build production-ready AI automation systems, such as:

Agentic RAG for finance and e-commerce
Threat investigation agents for cybersecurity

Intelligent workflow automation tools for business operations

Will I get a certificate after the course?

Yes. All learners receive a certificate of completion upon successfully finishing the course.

What kind of support is provided during the course?

The program includes:

1:1 doubt resolution with AI experts
Project reviews with personalized feedback
Networking and mentorship to help you break into AI-driven roles

How does this course help in my specific domain?

Software Engineers & AI Engineers:

Learn to build and deploy scalable AI-driven backend systems
Get hands-on with LangChain, CrewAI, and AutoGen
Master orchestration and real-time inference in production

Product Managers:

Integrate Agentic AI into product roadmaps and prototyping
Drive innovation through automation-first strategies
Gain hands-on experience with multi-agent frameworks

Technical Program Managers (TPMs):

Learn to design AI-first execution strategies
Orchestrate multi-agent workflows at scale
Bridge engineering, strategy, and delivery in AI programs

Engineering Managers & Tech Leaders:

Lead teams building AI-powered systems and automations
Design modular, scalable AI architectures for enterprise use
Drive organizational AI transformation with confidence

Other Tech Professionals (Cloud, DevOps, Security, Data, ML):

Learn agent-based automation for cloud, security & infra ops
Integrate LLMOps, RAG, and orchestration into production stacks
Build reliable, scalable AI pipelines across domains