Agentic AI Course: Building Practical AI Agents

Welcome to the Agentic AI Course! This repository contains hands-on tutorials, notebooks, and projects that take you from Python fundamentals to building complex, autonomous, tool-using AI agents.

Tech Stack & Tooling

• Language: Python 3.12+
• Frameworks: LangChain, DeepAgents
• LLM Providers: Groq, Google GenAI, OpenAI
• Package Manager: uv (lightning-fast Python package management)
• Data Validation: Pydantic

---

Course Curriculum

Module 0: Python Foundations (00_python/)

A self-paced Python curriculum covering the essentials needed before diving into AI agents.

Topic	Topics Covered	Projects
Basics	Variables, conditionals, I/O	Number Story, Student Progress Tracker, Budget Planner
Data Types	Strings, lists, dicts, sets	Profile Card, Inventory Summary, Expense Report
Functions	Definitions, args, return values	Unit Converter, Text Toolkit, Recipe Planner
Loops	for, while, nested loops	Countdown Timer, Daily Menu Counter, Study Tracker
OOP	Classes, inheritance, encapsulation	Pet Demo, Bank Account System, School Management

Each topic includes an _intro.py (examples), _exercises.py (practice), and three staged projects (basic / medium / advanced).

Module 1: LangChain Foundations (1_Langchain/)

Notebook	Description
00_langchainintro	Core building blocks: prompt templates, LLM interactions
01_agents	Introduction to agent architectures and reasoning loops
02_models	Working with different LLM providers and model parameters
03_tools	Creating and using custom tools with agents
04_messages	Chat message types, history, and conversation patterns
05_structured_output	Parsing and validating LLM outputs with Pydantic

Projects:

• Weather Agent - Tool-using agent that fetches real-time weather data via OpenWeather API
• Web Search Agent - Internet-connected agent that queries live sources
• Simple Website Builder - Agent that generates static websites from natural language descriptions

Module 2: Retrieval-Augmented Generation (2_RAG/)

Coming soon - Vector databases, semantic search, and context-aware RAG agents.

Module 3: Advanced & Deep Agents (3_Deep_Agents/)

Coming soon - High-autonomy multi-agent systems, memory management, and agent coordination.

---

Getting Started

Prerequisites

• uv installed
• Python 3.12+

Installation

1. Clone the repository:

   git clone https://github.com/your-username/agentic-ai-course.git
   cd agentic-ai-course

2. Sync the virtual environment and dependencies:

   uv sync

3. Create a .env file in the project root with your API keys:

   GROQ_API_KEY=
   OPENWEATHER_API_KEY=
   GOOGLE_API_KEY=

Running Notebooks

Launch Jupyter from the project root:

uv run jupyter notebook

Or run Python scripts directly:

uv run python 00_python/basics/basics_intro.py