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Build & Deploy Your First AI Agent: A Hands-On Bootcamp for GenAI Professionals

Categories: AI Agents, Generative AI
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About Course

This bootcamp is a beginner-friendly, hands-on introduction to building AI Agents through live weekend sessions. It’s designed to help you go beyond theory—so you don’t just understand what agents are, but actually build and deploy them.

You’ll start by mastering the core concepts of AI Agents and their workflows, then learn how to bring them to life using both low-code tools (like langflow) and coding frameworks (like LangChain and Crew AI).

By the end of the course, you’ll have:

  • A solid understanding of how AI Agents work

  • Experience designing multi-agent workflows

  • A deployed project: a Travel Planning AI Agent

  • Skills to build your own agents for future use cases

Whether you’re a tech professional or product thinker, this course gives you everything you need to start building with AI Agents—fast.

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What Will You Learn?

  • Understand the core concepts of AI agents and how they differ from chatbots
  • Design end-to-end agent workflows for real-world use cases like a travel planner
  • Master prompt engineering techniques for accuracy and consistency
  • Implement memory to create context-aware, personalized interactions
  • Apply Retrieval-Augmented Generation (RAG) for dynamic knowledge access
  • Use LangChain to build modular, code-based agent pipelines
  • Explore LangFlow for visual, drag-and-drop agent development
  • Learn to orchestrate multiple agents to handle complex tasks collaboratively
  • Deploy your agent as a working app and showcase your GenAI skills
  • Gain hands-on experience with LLM APIs, vector stores, and agent frameworks

Course Content

Week 1: Bonus Sessions for Beginners — NLP, GenAI Fundamentals, RAG & Prompting
For those new to the space, this bonus week covers the core foundational concepts you'll need to succeed in the bootcamp. We’ll walk through Natural Language Processing basics, an overview of Generative AI, the idea behind Retrieval-Augmented Generation (RAG), and key prompt engineering techniques — all explained in a beginner-friendly way.

  • Session 1: Gen AI Recap
    01:45:07

Week 2: Foundations of AI Agents — Workflow, Tools & Travel Planner Project Overview
Understand what makes an AI Agent different from a regular chatbot. This week introduces you to the core components of AI Agents, including planning, memory, tool use, and autonomy. You’ll also explore the complete project workflow for building your own AI-powered Travel Planner Agent, which will be the central project for the rest of the bootcamp.

Week 3: Building Smarter Agents — LangChain, Agentic RAG, Memory, Prompt Engineering & Orchestration
This week is all about adding depth to your AI agents. You'll learn how to use LangChain to structure your agent pipelines, integrate memory for contextual conversations, master prompt engineering for accuracy and control, and coordinate multi-agent orchestration to manage complex tasks. By the end of the week, your agents will not just respond — they’ll think.

Week 4: Deep Dive into CrewAI — Roles, Personas, Tools & Agent Workflows
This week, we go hands-on with CrewAI, a powerful framework for building multi-agent systems. You'll learn how to define agent roles and personas, assign tools, and break down tasks into manageable steps. By the end of the week, you’ll be designing and implementing workflows where agents collaborate intelligently — and yes, it’s time to get your hands dirty with real code.

Week 5: Visual Agent Building — Hands-On with LangFlow
This week introduces you to LangFlow, a visual framework for designing and deploying AI agent workflows without writing much code. You'll build your own agent using a drag-and-drop interface, connecting prompts, tools, memory, and APIs in a clear, visual pipeline — perfect for experimenting and rapid prototyping.

Student Ratings & Reviews

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MH
1 month ago
I found this course to be extremely informative and well-structured. The content was clear, engaging, and highly relevant, providing both theoretical knowledge and practical insights that can be applied immediately in real-world scenarios. The instructor’s expertise and ability to explain complex concepts in an understandable way greatly enhanced the learning experience.

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