AI Bootcamp

Enterprise AI Engineering Bootcamp 2026

Build Production-Ready AI Applications with RAG, AI Agents & LLMs

Stop Watching AI Demos. Start Building Real AI Systems.

Most AI courses teach prompts.

This bootcamp teaches you how enterprise teams are building AI-powered applications using Retrieval-Augmented Generation (RAG), AI Agents, Vector Databases, and Large Language Models.

Over two intensive hands-on days, you will design, build, and deploy production-style AI solutions using the same architecture patterns being adopted across modern enterprises.

Whether you are a Software Engineer, Technical Lead, Architect, Data Engineer, QA Engineer, Product Owner, or Engineering Student, this bootcamp will provide practical experience building AI systems that go beyond ChatGPT.

What Makes This Bootcamp Different?

• No PowerPoint-heavy theory
• 80% Hands-on Implementation
• Build Real Enterprise Use Cases
• Learn Production AI Architecture Patterns
• Industry Mentor with Enterprise Architecture Experience
• End-to-End Project from LLM APIs to Deployment
• Take Home Working Source Code

What You Will Build

Project 1: Enterprise Document Intelligence Assistant

Build an AI assistant capable of answering questions from internal company documents using Retrieval-Augmented Generation (RAG).

You will learn:

 • Document Processing

 • Embeddings

 • Vector Databases

 • Semantic Search

 • Context Injection

 • Enterprise Knowledge Assistants

Project 2: Autonomous AI Research Agent

Build an AI agent capable of:

 • Searching the Web

 • Performing Calculations

 • Reasoning Through Multi-Step Problems

 • Executing Actions Using External Tools

You will learn:

 • Agentic AI

 • ReAct Framework

 • Function Calling

 • Tool Integration

 • Autonomous Workflows

Project 3: Production AI Application

Transform your AI systems into a professional web application.

You will learn:

 • Streamlit Application Development

 • Session Management

 • Deployment Strategies

 • Production Considerations

 • Enterprise Readiness

Technologies Used

 • Python

 • OpenAI API

 • LangChain

 • ChromaDB

 • Streamlit

 • GitHub

 • Google Colab

Day 1 – Building Enterprise Knowledge Systems

Module 1: Understanding LLM Architecture

Learn how modern AI systems work behind the scenes.

Topics:

 • LLM Fundamentals

 • Tokens & Context Windows

 • Cost Optimization

 • Prompt Engineering

 • Structured Output Generation

Hands-On Lab:

Convert unstructured corporate emails into structured JSON using LLM APIs.

Module 2: Retrieval-Augmented Generation (RAG)

Learn how enterprises connect AI to their internal knowledge.

Topics:

 • RAG Architecture

 • Embeddings

 • Vector Databases

 • Semantic Search

Hands-On Lab:

Build a document intelligence system capable of answering questions from company policy documents.

Day 2 – AI Agents & Deployment

Module 3: Building Autonomous AI Agents

Move beyond chatbots.

Topics:

 • ReAct Framework

 • Agent Design Patterns

 • Function Calling

 • External Tool Integration

Hands-On Lab:

Create an AI Research Agent that can search, analyze, reason, and provide actionable insights.

Module 4: Production Deployment

Learn how enterprise teams deploy AI applications.

Topics:

 • AI Application Architecture

 • State Management

 • Deployment Strategies

 • Production Best Practices

Hands-On Lab:

Deploy your RAG Assistant and AI Agent as a fully functional web application.

Who Should Attend?

 • Software Engineers

 • Java Developers

 • Python Developers

 • Technical Leads

 • Architects

 • Data Engineers

 • QA Engineers

 • Product Managers

 • Final Year Engineering Students

No prior AI experience required.

Basic programming knowledge is sufficient.

Takeaways

By the end of the bootcamp you will have:

• A Working RAG Application
• A Functional AI Agent
• A Deployable AI Web Application
• Production-Ready Source Code
• Enterprise AI Architecture Understanding
• Certificate of Participation
• Career Roadmap for AI Engineering

Limited Seats Available

This is a highly interactive hands-on workshop designed to maximize learning and mentor interaction.

Register now and start building the next generation of AI-powered applications.