Claude Code & Agentic Engineering: Next-Level Ai Development
Published 4/2026
Created by Devops Lernen
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 37 Lectures ( 2h 14m ) | Size: 1 GB
What you'll learn
✓ Understanding and practically applying next-level development with AI (Agentic Engineering)
✓ Mastering Claude Code: from beginner to pro
✓ Building your own lab environment: setting up Claude Code CLI and desktop on Windows and Linux
✓ Creating complete agent teams and using them for efficient development
✓ Using subagents: splitting complex tasks and having them solved effectively
✓ Context Engineering: optimizing token consumption and results, defining persistent project instructions
✓ Using Plan Mode, slash commands, Voice Mode, and custom skills efficiently
✓ Creating designs, UI prototypes, and presentations with AI support using Claude Design & Google Stitch
✓ Efficiently automating recurring tasks with the /loop command and scheduled tasks
✓ Understanding the Model Context Protocol (MCP) and connecting external tools to Claude Code
✓ Setting up remote sessions to access Claude Code
Requirements
● NO experience with Claude Code is required.
● Basic knowledge of programming or scripting is helpful.
● An active Claude subscription is required to test the content yourself.
Description
*This course contains the use of artificial intelligence.
Welcome to "Claude Code & Agentic Engineering: Next-Level AI Development"!
Are you a software developer, DevOps engineer, or sysadmin looking to use Agentic Engineering and Claude Code - with advanced features compared to traditional chatbots? Then this course is exactly right for you!
In this course, we go far beyond classic prompting. Instead of having to manually point out every error to the AI and improve it iteratively, you will learn how Agentic Engineering enables the AI to independently validate and self-correct its generated results.
We show you how to use AI agents and Claude Code for coding, automation, and scripting to take your workflow to the next level. For example, with AI support, it is directly possible to define a complete team of agents that autonomously complete tasks together - including their own checks to see if the results actually fit. Under your control, the tool can solve complex programming tasks via subagents, connect external tools via MCP, and work on multiple features in the same project simultaneously using Git Worktrees.
We demonstrate all of this content within live demos - and not just through boring presentations. You will learn how to efficiently generate code AI-assisted, create UI prototypes, produce automated documentation, and even automate recurring tasks with scheduled tasks and the "/loop command".
Our agenda covers topics such as
• Understanding and practically applying next-level development with AI (Agentic Engineering)
• Mastering Claude Code: from beginner to pro
• Building your own lab environment: setting up Claude Code CLI and desktop on Windows and Linux
• Creating complete agent teams and using them for efficient development
• Using subagents: splitting complex tasks and having them solved effectively
• Context Engineering: optimizing token consumption and results, defining persistent project instructions
• Using Plan Mode, slash commands, Voice Mode, and custom skills efficiently
• Creating designs, UI prototypes, and presentations with AI support using Claude Design & Google Stitch
• Efficiently automating recurring tasks with the /loop command and scheduled tasks
• Understanding the Model Context Protocol (MCP) and connecting external tools to Claude Code
• Setting up remote sessions to access Claude Code
With this course, you will gain directly applicable knowledge that can accelerate and improve your workflows. You will learn how to have a complete agent team handle and validate tasks for you. And all within just a few hours.
So, take this opportunity and enroll now to take your AI skills to the next level!
Who this course is for
■ Software developers who want to take their AI-powered workflow to the next level.
■ System administrators and DevOps engineers who want to use AI tools efficiently for scripting and system administration.
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