Claude Code & Agentic AI Mastery for Beginners [2026]
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Unclaimed ProfileClaude 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.
About the creator
Prof. Ryan Ahmed
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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…Show more
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Program Overview
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Learning format
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Price
Price may change · updated within 1–2 weeks
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What You'll Learn
- Build fully functional apps, landing pages, and dashboards using Claude Code, without writing a single line of code
- Install and configure Claude Code in VS Code and the desktop app in minutes, with best practices baked in from day one
- Master Plan Mode, Auto-Accept Mode, and Default Mode, and know exactly when to use each one
- Use Skills, plugins, and slash commands to supercharge what Claude Code can do, then build your own from scratch
- Connect external APIs like Google Gemini to your projects for features like photo-based search and live data
- Manage context windows like a pro so your agents stay accurate and performant on long, complex tasks
- Structure your CLAUDE Markdown file the right way; the single biggest factor in getting consistent, high-quality AI outputs
- Build AI agents with persistent memory, live tools, and real decision-making logic
- Deploy a team of AI agents that collaborate, divide work, and complete complex tasks autonomously
- Automate entire workflows (competitor analysis, marketing, code reviews, and more) with a single command
- Master Marketing and Playwright Plugins to perform tasks like competitor analysis and research using AI-driven workflows
- Write effective prompts to generate reliable outputs and iterate using structured prompt engineering techniques
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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