Agent Frameworks Module¶

Welcome to the Agent Frameworks module of the Agentic AI Nano-Degree! This comprehensive 10-session journey takes you from basic agent concepts to production-ready enterprise implementations.

Module Overview¶

This module covers the complete landscape of modern AI agent development, focusing on practical frameworks, patterns, and production deployment strategies.

Duration: 10 Sessions
Time Investment: 60-180 minutes per session (depending on chosen path)
Prerequisites: Intermediate Python, basic ML concepts

Learning Journey¶

Foundation (Sessions 0-2)¶

Build your understanding of agent fundamentals and core patterns.

Session 0: Introduction to Agent Frameworks & Patterns - Agent architecture fundamentals - Framework comparison and selection - Core patterns: ReAct, Reflection, Planning - Historical context and evolution

Session 1: Bare Metal Agents - Building agents from scratch - Understanding agent internals - Tool integration patterns - Error handling and resilience

Session 2: LangChain Foundations - LangChain ecosystem overview - Chain composition and orchestration - Memory management strategies - Production deployment patterns

Advanced Orchestration (Sessions 3-4)¶

Master sophisticated agent coordination and team-based approaches.

Session 3: LangGraph Multi-Agent Workflows - Graph-based agent orchestration - Complex workflow management - State management and routing - Parallel execution patterns

Session 4: CrewAI Team Orchestration - Team-based agent coordination - Role-based agent specialization - Hierarchical agent structures - Collaborative problem solving

Type Safety & Architecture (Sessions 5-6)¶

Learn modern approaches to robust agent development.

Session 5: PydanticAI Type-Safe Agents - Type-safe agent development - Validation and error handling - Schema-driven agent design - Testing and quality assurance

Session 6: Atomic Agents Modular Architecture - Modular agent design principles - Component composition patterns - Reusable agent building blocks - Scalable architecture patterns

Specialized Frameworks (Sessions 7-8)¶

Explore cutting-edge agent development tools and production systems.

Session 7: First ADK Agent - Agent Development Kit introduction - Rapid agent prototyping - Integration with existing systems - Development workflow optimization

Session 8: Agno Production-Ready Agents - Production deployment strategies - Monitoring and observability - Performance optimization - Scaling and reliability patterns

Advanced Patterns (Sessions 9-10)¶

Master complex multi-agent systems and enterprise integration.

Session 9: Multi-Agent Patterns - Advanced coordination mechanisms - Consensus and conflict resolution - Distributed agent architectures - Communication protocols

Session 10: Enterprise Integration & Production Deployment - Enterprise architecture integration - Security and compliance - Monitoring and operations - Scaling and maintenance

Learning Paths¶

Choose your engagement level for each session:

Technical Stack¶

Core Frameworks: - LangChain: Foundation for agent development - LangGraph: Advanced workflow orchestration - CrewAI: Team-based agent coordination - PydanticAI: Type-safe agent development - Atomic Agents: Modular architecture framework - ADK: Agent Development Kit - Agno: Production deployment platform

Supporting Technologies: - Python 3.9+: Primary development language - Docker: Containerization and deployment - FastAPI: API development and integration - PostgreSQL: Data persistence - Redis: Caching and message queuing - Prometheus/Grafana: Monitoring and observability

Session Structure¶

Each session follows a consistent, learner-friendly structure:

1. 🎯 Learning Navigation Hub
2. Choose your engagement level
3. Estimated time investment

4. Prerequisites and outcomes

5. 📋 Session Overview Dashboard

6. Core concepts breakdown
7. Time allocation by section

8. Skill development focus

9. 🧭 Core Section (Required)

10. Essential concepts and patterns
11. Progressive skill building

12. Practical implementations

13. 🔬 Optional Deep Dive Modules

14. Advanced topics and patterns
15. Production considerations

16. Enterprise-specific features

17. 📝 Assessment & Validation

18. Multiple choice comprehension tests
19. Practical exercise validation

20. Knowledge verification

21. 🧭 Navigation & Next Steps

22. Clear progression paths
23. Related resources
24. Preparation for next session

Success Strategies¶

For Optimal Learning:

1. Sequential Progression: Complete sessions in order for best comprehension
2. Practical Application: Implement examples in your own environment
3. Path Consistency: Stick to chosen learning path for consistent experience
4. Community Engagement: Participate in discussions and share insights
5. Regular Practice: Apply concepts to real projects and use cases

Time Management Tips:

• Observer Path: 1-2 sessions per day
• Participant Path: 1 session per day
• Implementer Path: 1 session every 2-3 days
• Mixed Approach: Adapt path based on session complexity and available time

Learning Outcomes¶

By completing this module, you will be able to:

Framework Mastery: - Choose and implement appropriate agent frameworks for specific use cases - Build agents using LangChain, LangGraph, CrewAI, PydanticAI, and other modern frameworks - Understand trade-offs between different architectural approaches

Production Deployment: - Deploy agents to production environments with proper monitoring - Implement security, scaling, and reliability patterns - Integrate agents into existing enterprise systems

Advanced Patterns: - Design and implement multi-agent coordination systems - Create sophisticated workflows with conditional logic and parallel execution - Build type-safe, maintainable agent architectures

Enterprise Integration: - Understand compliance and security requirements - Implement proper monitoring and observability - Design scalable agent architectures for enterprise use

🔗 Quick Navigation¶

Ready to master agent frameworks? Start your journey with Session 0 and build expertise session by session!

Begin Session 0 →