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Duration 14 hours
Course Outline
Introduction
- Comparing workflows versus autonomous agents
- System architecture overview and common application scenarios
Core Concepts of the Claude API
- Messages API structure, model selection, and parameters
- Designing system prompts and managing structured outputs
- Implementing streaming and error management
- Practical exercise: Initial API integration
Tool Integration
- Specifying tools and data schemas
- Mastering the tool-use cycle and error recovery strategies
- Practical exercise: Creating an agent that interacts with corporate APIs
MCP and Agent Skills
- Understanding MCP servers and clients
- Leveraging existing servers and developing custom ones
- Implementing Agent Skills for reusable domain expertise
- Practical exercise: Linking an agent to a data source
The Claude Agent SDK
- Managing agent loops, sessions, and context
- Configuring permissions, hooks, and sub-agents
- Practical exercise: Developing a research and reporting agent
Cost, Quality, and Safety
- Implementing prompt caching and token budgeting
- Establishing guardrails and human approval workflows
- Conducting evaluations with a small test dataset
- Setting up logging and monitoring systems
Transitioning to Production
- Exploring deployment strategies and secrets management
- Handling maintenance and version control
- Formulating a roadmap for participants' specific use cases
Requirements
- Proficiency in Python or TypeScript
- Experience with REST API interactions and JSON processing
- Familiarity with the fundamentals of large language models
Target Audience
- Software developers and data engineers integrating AI capabilities into products and internal systems
- Solution architects assessing agent-based architectures
- Technical teams aiming 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
