Agentic Automation with Claude Code

Artificial intelligence is shifting from simple chat responses to autonomous agents capable of executing complex tasks directly within your development environment. This course teaches you how to harness these agentic capabilities to transform your productivity and automate repetitive technical workflows. You will move from basic prompt engineering to orchestrating sophisticated AI agents that can read, write, and execute terminal-based commands. In this course, you will learn to: - Understand the core principles of agentic AI and how autonomous systems differ from standard LLMs. - Configure Claude Code to interact safely with your local file system and terminal. - Apply agentic automation to refactor code, fix bugs, and generate technical documentation. - Master steering techniques to guide agents through multi-step development tasks. - Practice implementing human-in-the-loop patterns to maintain control over automated actions. - Explore modern AI development workflows that integrate autonomous tools into your daily routine. The curriculum starts with essential terminology and the conceptual framework of agentic systems before guiding you through the practical application of AI agents in a terminal environment. You will learn to manage these tools effectively while understanding the safety protocols necessary for local automation. This course is designed for beginners and developers looking to stay ahead of the curve in AI technology. No prior experience with agentic systems is required. Start building your first autonomous AI workflows today.