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Duration 14 hours
Course Outline
Introduction
- Differences between workflows and agents
- Overview of architecture and common application scenarios
Basics of the Claude API
- Messages API, available models, and configuration parameters
- System prompts and structured output generation
- Streaming mechanisms and error management
- Lab: Initial API integration exercise
Tool Integration
- Creating tool definitions and schemas
- The tool-execution cycle and strategies for error recovery
- Lab: Developing an agent that interacts with internal company APIs
MCP and Agent Skills
- Overview of MCP servers and clients
- Leveraging pre-existing servers and developing a custom one
- Utilizing Agent Skills for reusable capabilities
- Lab: Linking an agent to a specific data source
Claude Agent SDK
- Agent loops, session management, and context control
- Managing permissions, hooks, and subagents
- Lab: Creating an agent for research and reporting tasks
Cost, Quality, and Safety
- Prompt caching techniques and token budget allocation
- Implementing guardrails and human approval mechanisms
- Conducting evaluations using a limited test dataset
- Logging processes and monitoring strategies
Transitioning to Production
- Deployment strategies and secure secret management
- System maintenance and version control
- Creating a roadmap for your specific use case
Requirements
- Proficiency in programming with Python or TypeScript
- Practical experience in interacting with REST APIs and processing JSON data
- Foundational knowledge of large language models
Target Audience
- Software developers and data engineers integrating AI functionalities into products or internal tools
- Solution architects assessing agent-based architectures
- Technical teams seeking to transition from prototype stages to production environments
Testimonials (3)
The trainer is patient and very helpful. He knows the topic well.
CLIFFORD TABARES - Universal Leaf Philippines, Inc.
Course - Agentic AI for Business Automation: Use Cases & Integration
Good mixvof knowledge and practice
Ion Mironescu - Facultatea S.A.I.A.P.M.
Course - Agentic AI for Enterprise Applications
The mix of theory and practice and of high level and low level perspectives
