Software developers are no longer working alone with editors and documentation. AI assistants are becoming coding partners that help programmers write, understand, debug, and optimize software faster than ever before. This course teaches you how to use Claude Code, one of the most advanced tools in this space, as a professional AI engineering platform. You will move beyond simple chatbot interactions to build agentic workflows, context engineering systems, and AI powered development pipelines.
This Course Offers
- A complete introduction to Claude Code and AI assisted development: Learn the fundamentals of Claude Code, how AI coding assistants are transforming software engineering, and the difference between traditional coding and agentic coding workflows.
- Practical setup and configuration for real development work: Set up and configure Claude Code with modern development environments including Visual Studio Code and AI powered IDEs. Work with the Claude Code CLI, terminal workflows, API keys, and development tool integrations.
- Advanced prompt engineering and context engineering: Learn prompt engineering techniques for generating accurate, reusable, and production ready code. Master context engineering concepts including persistent memory, hierarchical context, dynamic context loading, and long conversation management.
- Agentic AI workflows and multi agent collaboration: Build agentic AI workflows using planning systems, delegation models, subagents, and parallel AI workflows. Understand how multiple AI agents collaborate together to solve complex engineering tasks efficiently, including Model Context Protocol (MCP) for integrating with external tools, GitHub repositories, databases, and enterprise services.
Why We Love This Course
- It goes far beyond basic AI code generation. Many Claude courses show you how to ask for code snippets. This one teaches agentic workflows, multi agent systems, AI delegation, autonomous AI coding loops, and AI software teams. You learn how to make AI a true collaborator, not just a search engine.
- It covers the full enterprise AI stack. The course includes Retrieval Augmented Generation (RAG), embeddings, vector databases, AI search systems, GitHub automation, browser automation, CI/CD workflows, AI powered deployment strategies, plus important sections on AI security, hallucination prevention, governance, responsible AI, token optimization, and cost management.
- The instructor brings substantial automation experience. Learning Technologies has over 16 years of experience in Microsoft Technologies and is an experienced RPA Developer specializing in multiple automation platforms. The course emphasizes practical, production ready skills, not just theory.
- It is designed for developers who want to stay current. The role of developers is evolving. Future engineers will spend less time on repetitive coding and more time on architecture, creativity, user experience, security, and strategic problem solving. This course prepares you for that shift.
Claude Code is not replacing software engineers. It is augmenting them. The question is whether you want to learn how to work effectively with AI coding assistants, agentic workflows, and context engineering or let developers who do learn these skills leave you behind.