Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Duration 21 hours
Course Outline
Introduction to Python Environments for Agentic Development
- Configuring Python, virtual environments, and managing dependencies
- Leveraging Git and Docker for version control and environment isolation
- Best practices for creating reproducible development environments
Overview of Agent SDKs and Frameworks
- Exploring LangChain, AutoGen, and other emerging SDKs
- Understanding agent structure and lifecycle: perception, reasoning, and action
- Comparing SDK capabilities and different architectural styles
Building Functional Agents in Python
- Developing a basic agent using LangChain
- Connecting agents to external tools and APIs
- Managing input/output, memory, and data persistence
Tool and API Integration
- Defining and registering tools for agent utilization
- Implementing secure API integration and key management
- Utilizing external data sources and custom function calls
Agent Orchestration and Communication Patterns
- Facilitating multi-agent collaboration using AutoGen
- Structuring task delegation and planning logic
- Implementing event-driven and asynchronous orchestration
Testing, Debugging, and Observability
- Testing agents using mock inputs within controlled environments
- Debugging message flows and tool invocation processes
- Implementing structured logging and performance metrics
Deployment and Production Considerations
- Packaging and containerizing Python agent services
- Integrating with CI/CD pipelines
- Scaling, monitoring, and maintaining long-running agent systems
Summary and Next Steps
Requirements
- Familiarity with Python programming and package management
- Practical experience with REST APIs and JSON data structures
- Basic understanding of asynchronous I/O in Python
Target Audience
- Backend engineers
- Platform engineers
- ML engineers
