Course · Training · Workshop
Claude Code for Enterprise Engineering
Claude Code as an active peer programmer in your enterprise workflow: generate, test and debug code directly, master prompting and context strategies, and build your own MCP server.
This specialized course introduces professional software development with Claude Code, Anthropic's powerful AI coding platform for enterprise applications. Participants learn how to integrate Claude Code as an active peer programmer into their development workflow, where the AI directly modifies, generates, tests, builds, and executes code. The course covers advanced Claude Code-specific strategies such as planning & acting phases, optimal prompting techniques for Claude models, context management, and extending Claude capabilities through MCP servers. Participants will work with existing software projects including single page application frontends, REST backends, databases and API integrations. The course will focus on fixing issues, debugging, implementing new features, understanding code and building a Claude Code-specific agentic workflow context framework. Participants will also build their own small MCP server to gain deep understanding of how Claude models can access tool usage. There will be an overview of Claude model variants, Anthropic API integration, and enterprise deployment options. The course primarily focuses on Claude Code as a desktop application and VS Code extension, but also covers alternative integrations and deployment scenarios for enterprises.
What participants say
The “AI Assisted Engineering On-Boarding” course was an outstanding experience. It provided a clear, practical, and inspiring introduction to how AI can support modern engineering work. The content was well structured, easy to follow, and highly relevant to real day-to-day challenges. What stood out most was the strong balance between theory and hands-on application. The course not only explained the concepts clearly, but also showed how to use AI tools effectively and responsibly in actual engineering scenarios. It made complex topics feel accessible and immediately useful. I especially appreciated the engaging format, the high quality of the materials, and the clear expertise of the instructors. The course created a motivating learning environment and gave me valuable confidence in applying AI-assisted approaches in my work. Overall, I can highly recommend “AI Assisted Engineering On-Boarding” to anyone who wants a practical, forward-looking, and well-designed introduction to AI in engineering. It is an excellent course that delivers real value from start to finish.
Leiter IT Entwicklung Platform & Services
The AI Assisted Engineering On-Boarding course was very practical and easy to follow and awesome! I especially appreciated the hands-on approach and the focus on real use cases. It gave me a clear understanding of how to work effectively with Claude Code in a development context. After the course, I felt much more confident getting started and applying it in daily work.
Frontend Web Developer
The course fully met all my expectations and provided a smooth introduction to the subject. With the help of the instructor and the course materials, I was able to easily overcome any initial hurdles, allowing me to get started using the agents as quickly as possible.
Senior Software Engineer
I really enjoyed the lessons and learned a lot of new stuff on this course. It teaches not only fundamentals but also how to be prepared for your next challenges. The tooling that is used is very sturdy, works very well in the lab setup and is very diverse, you can pick what you like in your projects. And most importantly: I did not write any piece of code myself, the agents did everything!
Software Engineer I
Great training on agentic software development. The trainer obviously had lots of hands-on experience with the topic, there was no question that he couldn't answer. Lab environment was very well thought through and helped a lot in practicing what we learned.
Senior Software Design Engineer
Very concrete and practical training on "Agentic Software Engineering", with a good amount of theoretical background to understand what happens behind the scenes. The instructor was very knowledgeable and willing to answer the multitude of questions.”
Software Engineer I Karakun
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Content
The course will consist of the following topics and may be extended or adapted based on the audience. The examples in the course will focus on widely used programming languages, software architectures and frameworks. For in-house courses there is a selection of programming languages and frameworks which can be chosen to better fit the audience.
– Introduction to Claude Code for Enterprise Development:
- Evolution from traditional AI assistants to Claude Code
- Understanding Claude Code architecture and capabilities
- Overview of desktop app, VS Code extension, and API integration – Claude Code Setup and Configuration:
- Installation and setup of Claude Code desktop application
- VS Code extension configuration and workspace setup
- Anthropic API integration and token management
- Enterprise security settings and compliance – Claude-specific Prompt Engineering and Context Management:
- Optimal prompt structures for Claude models
- Building effective project contexts for Claude Code
- Defining Claude-specific rules and guidelines
- Leveraging Claude’s Constitutional AI principles – Working with Existing Codebases in Claude Code:
- Strategies for code analysis with Claude models
- Code comprehension and automatic documentation generation
- Refactoring and optimization with Claude Code support
- Migrating existing projects to Claude Code workflows – Practical Development Tasks with Claude Code:
- Debugging and problem-solving with Claude agents
- Feature implementation in existing applications
- Test creation and validation with Claude Code
- Code review and quality assurance – Frontend Development with Claude Code:
- Single page application development with Claude support
- UI/UX design and visual validation
- Browser integration and end-to-end testing
- Responsive design and accessibility with Claude Code – Backend Development with Claude Code:
- REST API design and implementation
- Database integration and schema design
- Microservices architecture with Claude Code
- Performance optimization and monitoring – MCP Servers for Claude Code:
- Understanding the Model Context Protocol for Claude
- Implementing custom MCP servers
- Integration of external services and APIs
- Enterprise tool integration via MCP – Claude Model Variants and Enterprise Deployment:
- Comparison of Claude Sonnet and Opus
- Anthropic API vs. local Claude instances
- Enterprise deployment strategies and scaling
- Cost-benefit optimization for enterprises – Advanced Claude Code Techniques:
- Multi-step reasoning and complex problem solving
- Handling large codebases and legacy systems
- Error recovery and iterative improvement
- Claude Code-specific best practices – Enterprise Claude Code Framework:
- Building reusable Claude Code workflows
- Team collaboration and knowledge sharing
- Security policies and compliance management
- Integration into existing DevOps pipelines
The course primarily focuses on Claude Code as a desktop application and VS Code extension by Anthropic. Alternative integrations and deployment scenarios are discussed to provide a comprehensive enterprise perspective. The concepts and workflows taught are specifically optimized for Claude models but can serve as a foundation for other agentic coding tools.
The actual course content may differ from the above depending on the trainer, delivery, duration and the composition of participants.
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More about Claude Code
Claude Code is Anthropic's agentic coding tool that runs directly in the terminal, understands codebases, and helps developers through natural language commands. It executes routine tasks, explains complex code, and handles Git workflows as an active peer programmer. With Model Context Protocol (MCP) integration, Claude Code can be extended with external tools and services, making it a powerful platform for enterprise development.Further resources:
History
Claude Code was developed by Anthropic, the AI safety company founded in 2021 by former OpenAI researchers. The tool emerged from the goal of integrating AI models not merely as assistants but as full agents in the software development process. With the introduction of the Model Context Protocol (MCP), Anthropic created an open standard that allows Claude Code to connect to virtually any external tool or data source.
Claude Code represents the next generation of AI-assisted development: rather than offering autocomplete suggestions, it actively takes on tasks such as debugging, refactoring, test generation, and even building entire features – directly in the terminal and in close collaboration with the developer.