course
Claude Code Agentic Engineering Fundamentals
Boost your productivity with Claude Code and agentic AI development.
Description
This course introduces Claude Code and its ecosystem through practical labs and demos. Participants will learn how to integrate Claude Code into their daily workflows efficiently.
The course starts with the foundations of Claude Code, including installation, access management, security, and compliance.
You'll explore the context mechanisms that drive code completions and understand how Claude's extended context window enables more sophisticated code understanding.
You will work with all major Claude Code features: inline suggestions, chat-based code generation, and agent modes for complex multi-step tasks.
The integration with development tools covers interactive sessions and agentic capabilities like planning, autonomous task execution, and multi-file refactoring.
Practical labs on your own projects reinforce each topic, enabling you to apply the features immediately to realistic use cases.
Customization is a core component. You'll learn how to tailor Claude Code behavior using instruction files, custom agents, skills, and prompt engineering - the practice of context engineering. Diving into Model Context Protocol (MCP) for integrating custom tools and context-aware extensions into Claude Code, building and running custom MCP servers of your own.
The course includes best practices for prompt writing, context management, quality assurance, and responsible usage. Security risks, potential model biases, and limitations of generative AI are discussed explicitly.
By the end of this course, you will confidently apply Claude Code and its ecosystem to improve code quality, spend less time writing boilerplate, and integrate agentic AI workflows into real-world development tasks.
Learning Goals
 Apply code completions using inline suggestions and chat-based generation to accelerate development | Apply  |
| Use Claude Code agent modes for autonomous task execution and multi-step code modifications | Apply |
| Customize Claude Code using custom agents, skills, instruction files, prompt files and the Model Context Protocol (MCP) | Apply |
| Implement tool use and function calling to extend Claude Code's capabilities | Apply |
| Describe the best practices of using Claude Code and agentic AI development | Understand  |
Prior Knowledge
- Familiarity with AI and machine learning terminology
- Basic understanding of generative AI systems
- Experience writing prompts
Subjects
- Installing and configuring Claude Code
- Using inline suggestions and chat-based code generation
- Agent modes: autonomous task execution and multi-step planning
- Tool use and function calling for extended capabilities
- Customization with custom agents, skills, instruction files and prompt files
- Model Context Protocol (MCP): building and using custom servers and integrations
- Extended context windows and effective context management
- Writing effective prompts and using AI responsibly
Schedule
All courses can also be conducted within your organization as customized or incompany training.
Our training advisors are happy to help you provide personal advice or find Incompany training within your organization.
"The instructor was clearly very experienced and had a lot of knowledge about the subject."Mika
Hoge waardering
Praktijkgerichte trainingen
Gecertificeerde trainers
Eigen docenten