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Duration 14 hours
Course Outline
Introduction
- Distinguishing between workflows and autonomous agents
- Architectural overview and common application scenarios
Claude API Essentials
- Overview of the Messages API, available models, and configuration parameters
- Application of system prompts and generating structured outputs
- Handling streaming responses and error management
- Practical Exercise: Initial API integration
Tool Utilization
- Defining tool specifications and schemas
- Implementing the tool-use cycle and recovery from errors
- Practical Exercise: Creating an agent that interacts with enterprise APIs
MCP and Agent Skills
- Roles of MCP servers and clients
- Leveraging existing servers and developing a custom one
- Implementing Agent Skills for modular, reusable capabilities
- Practical Exercise: Integrating an agent with a specific data source
Claude Agent SDK
- Managing the agent loop, sessions, and context
- Configuring permissions, hooks, and subagents
- Practical Exercise: Developing a research and reporting agent
Cost, Quality, and Safety Considerations
- Implementing prompt caching and token budgeting
- Establishing guardrails and human-in-the-loop approval processes
- Conducting evaluations using a limited test dataset
- Logging events and monitoring system health
Transitioning from Prototype to Production
- Deployment strategies and secure secret management
- Ongoing maintenance and version control practices
- Developing a roadmap for your specific use case
Requirements
- Proficiency in programming with Python or TypeScript
- Experience in integrating REST APIs and processing JSON data
- Familiarity with the fundamentals of large language models
Target Audience
- Software developers and data engineers incorporating AI capabilities into products and internal tools
- Solution architects assessing agent-based architectures
- Technical teams transitioning 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
