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AI Agentic Engineering: Zero to Hero Masterclass 2026

Build Autonomous AI Agents with Claude Code, Codex & Cursor — From Zero to Real AI-Powered Apps

5 (3 ratings) Last Updated:03/2026 English (US) Instructor: Fahd Sheraz

Lectures: 18
|
Videos: 0 hours
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Level: All
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Language: English
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Last Updated: 03/2026

Skills: All IT & Software Artificial Intelligence Software Development

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About this Course

This comprehensive course AI Agentic Engineering: Zero to Hero Masterclass 2026 teaches you how to move beyond simple prompting and start building powerful autonomous AI agents that can perform complex tasks, write code, and build real applications.

The course introduces you to the modern ecosystem of AI development tools including Claude Code, Codex, Cursor, and OpenCode, showing you how to use them together to dramatically improve productivity and automate large portions of the development process.

You will start by understanding the core principles of Agentic Engineering, learning how AI agents differ from traditional coding assistants. Instead of manually writing every line of code, you will learn how to design structured workflows where AI agents plan, execute, and iterate on tasks independently.

A major focus of the course is instruction design and agent control. You will learn how to give clear and precise instructions to your AI agent using structured prompts, CLAUDE.md files, and specification documents so that the agent consistently produces reliable results.

You will also explore advanced workflows such as plan mode, spec-driven development, and voice typing workflows that allow you to speak instructions to your AI agents, making development faster and more intuitive.

The course dives into the internal mechanics of AI agents, including how they manage memory, context windows, and tools using modern frameworks such as the Model Context Protocol (MCP).

In the hands-on project, you will see AI agents in action by optimizing Minecraft performance, where autonomous agents run benchmarks and generate GPU rendering optimizations to achieve significant performance improvements.

By the end of this course, you will have the knowledge and practical experience required to design AI-powered workflows, manage autonomous agents, and build real applications faster than traditional development methods.

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Fahd Sheraz

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