Claude Code & Agentic AI Mastery for Beginners [2026]

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Claude AI · Online Course

Claude Code & Agentic AI Mastery for Beginners [2026] Reviews & Product Details

Claude Code & Agentic AI Mastery for Beginners [2026], led by Prof. Ryan Ahmed, offers an immersive, hands-on gateway into the rapidly evolving landscape of Anthropic's developer ecosystem. This course is meticulously designed for non-programmers and tech enthusiasts who want to build sophisticated, production-ready applications, automation workflows, and multi-agent systems without writing traditional code. Learners will dive deep into installing and optimizing Claude Code within environments like VS Code, unlocking its full potential through practical, real-world projects. Throughout the curriculum, students master the essential execution modes—including Plan Mode, Auto-Accept Mode, and Default Mode—to control how AI agents behave and make autonomous decisions. The training goes beyond basic prompting, teaching valuable skills like context window optimization, markdown structuring, and API integration with external tools like Google Gemini. By exploring persistent memory, custom plugins, and automated workflows, this course empowers professionals to deploy collaborative teams of AI agents that solve complex business challenges autonomously.

Best For

Non-programmers and business professionals looking to build functional apps using AI agentic workflows. Tech enthusiasts eager to adopt Claude Code as their primary interface for software development. Entrepreneurs wanting to automate complex tasks like competitor analysis and research using multi-agent systems. Developers looking to streamline their current workflow with Anthropic's latest agentic tools and plugins.

Not For

Software engineers who prefer writing traditional code manually and avoid AI-assisted automation. Learners seeking a deep-dive course on low-level programming languages like C++ or Java. Advanced AI researchers focused on training or fine-tuning Large Language Model weights from scratch.

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About the Creator

Prof. Ryan Ahmed

Prof. Ryan Ahmed is a distinguished educator and technology leader dedicated to making artificial intelligence and machine learning accessible to a global audience. With a profound understanding of cutting-edge tech, Ryan specializes in demystifying complex concepts such as Agentic AI engineering, LLM system architecture, and advanced retrieval-augmented generation (RAG). His teaching methodology centers on a practical, hands-on approach that bridges the gap between theoretical data science and enterprise-ready application development. Whether guiding his students through building custom Python-based AI agents from scratch or configuring enterprise workflows using Microsoft Copilot Studio, Ryan ensures every lesson is grounded in real-world utility. He has curated a robust suite of courses targeting diverse skill levels, ranging from absolute beginners navigating no-code AI tools to seasoned developers mastering Claude Code and LLM pipelines. By combining clear, structured technical walkthroughs with actionable business applications, Ryan empowers professionals, data scientists, and builders to stay ahead in the rapidly evolving landscape of generative artificial intelligence.

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