Generative AI: From Chatbots to AI Agents
Most people first meet Generative AI through a chatbot. In industry, the real value begins when models can work with business data, follow structured instructions, use tools and become part of automated workflows. This free 1-hour bootcamp shows how those pieces fit together - from the fundamentals behind LLMs to RAG, tool calling and AI agents.
₹0
Entry Fee
1 Hour
Duration
3
Core Learning Blocks
Why this bootcamp exists
Generative AI is moving quickly beyond prompt-and-response tools. Modern enterprise systems combine language models with retrieval, structured outputs, external tools, memory and workflow logic. This bootcamp gives you a clear mental model of that transition, so you can understand not just what GenAI can do, but how real systems are designed around it.
Understand the ideas behind modern Generative AI without getting lost in buzzwords.
See how enterprise AI systems connect models with business knowledge and software tools.
Understand why RAG, vector databases, structured outputs and tool calling matter in production.
Learn what makes an AI agent different from a normal chatbot.
Build a practical mental model for how AI can move from answering questions to automating work.
3-day structure
- 01 · Foundations
GenAI Foundations
Register to joinStart with the concepts that make modern language models possible. We connect the terms you hear every day to what they actually mean inside a GenAI system. Key topics: Tokens, Embeddings, Transformers, Attention, Pretraining, Fine-Tuning.
- 02 · Enterprise Systems
Enterprise GenAI Systems
Register to joinMove from the model itself to the system around it. See how enterprises give AI access to relevant knowledge, reliable output formats and controlled actions. Key topics: AI Stack, RAG, Vector Databases, Prompt Engineering, Structured Outputs, Tool Calling.
- 03 · Automation
AI Agents & Automation
Register to joinUnderstand how AI systems can plan, remember context, choose tools and make decisions across multiple steps - the building blocks behind agentic and autonomous workflows. Key topics: Planning, Memory, Tools, Decision Making, Autonomous Workflows.
Flow of the evening: User / Task → Context (prompts, RAG, enterprise knowledge) → Model (reasoning and generation) → Tools (APIs, apps, databases, actions) → Workflow (structured, repeatable automation).
Who should attend?
- Students who want to move beyond simply using AI tools
- Developers exploring how GenAI connects to real software
- Technology enthusiasts curious about AI agents and automation
- Anyone wondering how AI moves from chatbots to enterprise workflows
Frequently asked questions
Is the bootcamp free?
Yes. This is a free 1-hour bootcamp.
Is this only about ChatGPT or prompting?
No. Prompting is one part of the session. The larger focus is how modern GenAI systems are built around models using RAG, vector databases, structured outputs, tool calling and agentic workflows.
Will AI agents be covered?
Yes. The final section covers planning, memory, tools, decision making and autonomous workflows.
Does the session start from basics?
Yes. It begins with tokens, embeddings, transformers and attention before moving into enterprise systems and automation.