Framework Crash Courses
Welcome to the AI Agent Framework Crash Courses! These comprehensive tutorials take you from zero to hero in building production-ready AI agents with the most popular frameworks.Available Framework Courses
OpenAI Agents SDK
Master OpenAI’s powerful Agents SDK with 11 comprehensive tutorials covering everything from basic agents to voice integration.
Google ADK
Learn Google’s Agent Development Kit (ADK) with flexible, model-agnostic agent development and advanced orchestration patterns.
Why These Crash Courses?
These crash courses are designed to provide:Hands-On Learning
Every tutorial includes working code examples, interactive interfaces, and real-world use cases you can run immediately.
Progressive Complexity
Start with basic concepts and gradually build to advanced multi-agent systems and production patterns.
Complete Coverage
From simple text processing to voice agents, multi-agent orchestration, and production deployment.
Best Practices
Learn industry best practices, common patterns, and proven approaches to building reliable AI agents.
Learning Path Structure
Each framework course follows a structured learning path:Foundation Layer
Build your understanding of core concepts:- Creating your first agent
- Understanding execution methods
- Working with structured outputs
- Type-safe responses with Pydantic
Core Capabilities Layer
Extend agents with powerful features:- Tool integration (custom and built-in)
- Context and state management
- Session and memory handling
- Guardrails and validation
Advanced Features Layer
Implement sophisticated functionality:- Multi-agent orchestration
- Agent handoffs and delegation
- Parallel execution patterns
- Voice and real-time conversation
Production Layer
Prepare for real-world deployment:- Tracing and observability
- Performance monitoring
- Error handling and debugging
- Production deployment patterns
What You’ll Build
Throughout these courses, you’ll create:Personal Assistants
Start with basic conversational agents that understand and respond to user queries with clear instructions and personality.
Tool-Using Agents
Build agents that can search the web, execute code, perform calculations, and integrate with external APIs.
Structured Data Processors
Create agents that extract and return type-safe, validated JSON data from unstructured inputs.
Multi-Agent Systems
Orchestrate multiple specialized agents that collaborate, delegate tasks, and work in parallel.
Prerequisites
Before starting, ensure you have:Programming Skills
Programming Skills
- Python 3.8+ knowledge (Python 3.11+ for Google ADK)
- Basic understanding of async/await patterns
- Familiarity with APIs and JSON
API Access
API Access
- OpenAI SDK: OpenAI API key from platform.openai.com
- Google ADK: Google AI API key from aistudio.google.com
Development Environment
Development Environment
- Python installed on your system
- Text editor or IDE (VS Code recommended)
- Command line familiarity
- Git for cloning repositories (optional)
Framework Comparison
| Feature | OpenAI Agents SDK | Google ADK |
|---|---|---|
| Primary Model | GPT-4o, GPT-4 | Gemini 3 Flash |
| Model Agnostic | OpenAI models only | Yes (OpenAI, Claude, etc.) |
| Voice Support | Full (static, streaming, realtime) | Limited |
| Built-in Tools | WebSearch, CodeInterpreter, FileSearch | Search, Code Execution, RAG |
| Multi-Agent | Handoffs, delegation, parallel | Sequential, loop, parallel patterns |
| Session Management | SQLiteSession, automatic | In-memory, persistent (SQLite) |
| Deployment | Flexible | Containerized, deployment-agnostic |
| Learning Curve | Moderate | Moderate |
| Best For | OpenAI ecosystem, voice apps | Multi-model support, Google Cloud |
Course Features
Every tutorial in these crash courses includes:- Clear Concept Explanation: Understand the “why” behind each feature
- Working Code Examples: Copy-paste ready implementations
- Interactive Interfaces: Streamlit web apps for hands-on testing
- Real-World Use Cases: Practical applications you can adapt
- Step-by-Step Instructions: No steps skipped, clear progression
- Best Practices: Industry-proven patterns and approaches
- Troubleshooting Guides: Common issues and solutions
Getting Started
Start with OpenAI SDK
Perfect if you want to build with OpenAI’s powerful models and need voice capabilities.
Start with Google ADK
Ideal if you need model-agnostic development and prefer Google’s ecosystem.
Learning Tips
Use Interactive Interfaces: Each tutorial includes web interfaces (Streamlit apps) that make testing and learning more engaging and visual.
Community and Support
Join the growing community of AI agent developers:- Share your projects and get feedback
- Ask questions and help others
- Contribute improvements to tutorials
- Showcase your agent applications
Next Steps
Choose your framework and start building:OpenAI Agents SDK Course
11 comprehensive tutorials from basics to voice agents
Google ADK Course
9 tutorials covering model-agnostic agent development