Prerequisites
Required Knowledge
Programming Fundamentals
- Python proficiency: Functions, classes, decorators, async/await
- Data structures: Lists, dicts, sets, queues
- Error handling: Try/except, custom exceptions
- File I/O: Reading/writing files
Basic Concepts
- APIs: REST APIs, HTTP methods, JSON
- Command line: Basic bash/terminal commands
- Git: Version control basics
- Environment variables: Configuration management
Recommended (Not Required)
- Machine learning basics
- Natural language processing concepts
- Docker/containerization
- Cloud platforms (AWS, Azure, GCP)
Technical Requirements
Software
- Python 3.9+: Download
- pip: Package manager (comes with Python)
- Git: Download
- Code editor: VS Code, PyCharm, or similar
- Terminal: Command line access
Accounts
- OpenAI API key: Get key
- Or Anthropic, AWS Bedrock, etc.
- GitHub account: For version control
- Optional: Cloud provider account (AWS, GCP, Azure)
Hardware
- Minimum: 8GB RAM, modern CPU
- Recommended: 16GB RAM, GPU for local models
- Internet: Stable connection for API calls
Setup Instructions
1. Install Python
# Check Python version
python --version # Should be 3.9+
# Create virtual environment
python -m venv venv
# Activate (macOS/Linux)
source venv/bin/activate
# Activate (Windows)
venv\Scripts\activate
2. Install Core Libraries
pip install openai langchain chromadb fastapi uvicorn pytest
3. Configure API Keys
# Create .env file
echo "OPENAI_API_KEY=your-key-here" > .env
# Or export directly
export OPENAI_API_KEY="your-key-here"
4. Verify Setup
# test_setup.py
from openai import OpenAI
client = OpenAI()
response = client.chat.completions.create(
model="gpt-3.5-turbo",
messages=[{"role": "user", "content": "Hello!"}]
)
print("✓ Setup successful!")
print(response.choices[0].message.content)
Time Commitment
- Total course: 40-60 hours
- Per chapter: 4-6 hours
- Capstone project: 10-15 hours
Recommended pace: 2-3 chapters per week
Learning Path
Beginner Track (Start Here)
- Module 1: Foundations
- Module 2: Building Your First Agent
- Module 4: Agent Tools & Capabilities
- Module 5: Production-Ready Agents
Intermediate Track
- Module 3: Advanced Agent Patterns
- Module 6: Specialized Agent Types
- Module 7: Advanced Topics
Advanced Track
- Module 8: Enterprise & Scale
- Module 9: Cutting-Edge Research
- Module 10: Capstone Project
Getting Help
- GitHub Issues: Report errors or ask questions
- Discussions: Share projects and get feedback
- Community: Join Discord/Slack communities (see Resources)
Ready to Start?
If you meet the prerequisites, you’re ready to begin! Start with the Introduction and then dive into Module 1.