Claude Code Crash Course: Build AI Agents from Scratch

Learn to build an autonomous AI coding agent with tools, memory, workflows, execution sub-agents and context control

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150
learners

What You'll Learn

What you'll learn

Design and build a fully autonomous AI coding agent from scratch.
Implement agentic loops that allow AI systems to plan, execute, and adapt.
Create safe and extensible tool systems for file operations, shell commands, and web access.
Build long-term memory and session persistence for AI agents.
Manage large contexts using compaction and pruning techniques.
Engineer sub-agents to handle complex tasks through multi-agent workflows.
Implement feedback loops for self-correction and error recovery.
Detect and prevent infinite loops in autonomous AI systems.
Add approval systems, autonomy controls, and checkpoint management.
Extend AI agents with custom tools and third-party services using MCP.

This Course Includes

Course Content

19h 5m total length
Introduction
Introduction
Project setup & Virtual Environment
LLM Connection & Reliability
CLI Application Foundation
Context & Prompt Engineering
Tool Calling Fundamentals
Tool Registry & Agentic Execution
Interactive Mode & Configuration
Sessions
File & Shell Tools
Error Handling & Search Tools
Web & Planning Tools
Memory & Subagents
Extensibility & MCP
Hooks, Context Control & Safety
Sessions, Checkpoints

₹5999 ₹6999.00

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5 Live Doubt-Clearing Sessions

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