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Duration 14 hours
Course Outline
Overview
- Distinguishing between workflows and agents
- Architectural principles and common application scenarios
Basics of the Claude API
- Messages API, model selection, and configuration parameters
- Crafting system prompts and managing structured output
- Handling streaming and error management
- Practical Exercise: Initial API integration
Utilizing Tools
- Specifying tools and defining schemas
- The tool-use cycle and strategies for error recovery
- Practical Exercise: Building an agent to interact with corporate APIs
MCP and Agent Skills
- Understanding MCP servers and clients
- Leveraging existing servers and developing a basic one
- Applying Agent Skills for reusable knowledge modules
- Practical Exercise: Integrating an agent with a data source
Claude Agent SDK
- Agent loops, session management, and context control
- Managing permissions, hooks, and subagents
- Practical Exercise: Constructing a research and reporting agent
Managing Cost, Quality, and Safety
- Implementing prompt caching and token budgeting
- Establishing guardrails and human-in-the-loop approvals
- Conducting evaluations with a limited test set
- Implementing logging and monitoring solutions
Transitioning from Prototype to Production
- Deployment strategies and secure secret management
- Maintenance procedures and version control
- Developing a roadmap for your specific use case
Requirements
- Proficiency in Python or TypeScript programming
- Practical experience with REST API calls and JSON processing
- A foundational grasp of large language models
Target Audience
- Software engineers and data specialists integrating AI capabilities into products and internal systems
- Solution architects assessing agent-based architectures
- Technical groups aiming to transition from prototyping to production deployment
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
