Agentic AI Mastery: Claude Code, Clawdbot & Beyond

“This course contains the use of artificial intelligence”

The world is entering the era of Agentic AI — where intelligent systems don’t just generate text, but plan, reason, execute tools, and operate autonomously. In this advanced, hands-on course, you will master how to build real-world AI agents, orchestrate multi-agent systems, and deploy production-ready workflows using tools like Claude Code, Clawdbot / OpenClaw, and the most powerful 2026 agent frameworks.

This is not a theory course. It is a builder’s program.

You will design complete agent architectures — from trigger to orchestration, tool execution, guardrails, logging, reporting, and cost tracking. You will implement structured multi-agent collaboration patterns including planner, executor, tester, validator, and refactorer roles. You will learn how to apply context management, memory systems, and event-driven architectures to create scalable AI-native systems.

We dive deep into Claude Code as a next-generation coding agent — including skills, structured workflows, hot-reload mechanisms, MCP integrations, secure credential handling, and block-at-submit safety patterns. You’ll build a secure AI code reviewer that integrates with GitHub and prevents unsafe merges using policy-driven guardrails.

On the personal automation side, you will build powerful second-brain systems using Clawdbot / OpenClaw, connect them to Notion, documents, email, and web sources, and create 24/7 content monitoring and executive briefing agents. You’ll implement semantic retrieval, long-term memory, summarization pipelines, and structured review workflows.

For enterprise builders, the course covers leading agent orchestration frameworks and platforms, including LangChain, LangGraph, CrewAI, AutoGen, and modern enterprise automation stacks. You’ll design production-grade multi-agent control planes, implement event-driven systems (Kafka/Postgres style patterns), and apply human-in-the-loop governance models with cost-aware execution.

You’ll also explore emerging trends in autonomous decision engines, open-source agent ecosystems, AI-native SaaS design, and advanced hardware implications shaping the future of agent infrastructure.

Each module includes practical, portfolio-ready projects:

• Multi-Agent Software Factory

By the end of this course, you will have built a complete production-ready agentic architecture and created artifacts suitable for GitHub, client proposals, or enterprise demos.

This course is ideal for:

• AI engineers

If you want to move beyond prompts and into designing true autonomous AI systems, this is your roadmap.

Welcome to the future of Agentic AI Engineering.