AI Engineering: Using Coding Agents Series

The AI Engineering: Using Coding Agents Series is a multi-course learning plan for software engineers and AI engineers who want to use AI agents in their current role. It covers handing off full features to a coding agent, understanding parallel workstreams, and reviewing agent-generated work before it ships.

Anthropic
Vanderbilt University
DeepLearning.AI

With content from Anthropic, Vanderbilt University, DeepLearning.AI,

Top AI Program

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AI Series
18 courses on applying AI to using coding agents
from 994 reviews of courses in this Series
Build AI experience
10+ in-demand AI skills
Practice industry tools
Claude Code, GitHub Copilot, Model Context Protocol + 5 more
Learn at your own pace
Courses from 1 to 13 hours
AI Series
18 courses on applying AI to using coding agents
from 994 reviews of courses in this Series
Build AI experience
10+ in-demand AI skills
Practice industry tools
Claude Code, GitHub Copilot, Model Context Protocol + 5 more
Learn at your own pace
Courses from 1 to 13 hours

What you’ll learn

  • Direct a coding agent through a full feature or parallel workstream, not just one-off snippets.

  • Customize your agent's environment and context using Model Context Protocol (MCP), so it has what it needs to work autonomously.

  • Review and govern agent-generated code before it ships, treating verification as a continuous part of the workflow, not a final gate.

  • Build foundational fluency across AI coding tools like Claude Code, GitHub Copilot, and Gemini CLI, so you can choose the right agent for the job.

With course certificates from

Scrimba
Anthropic
DeepLearning.AI
UiPath
Vanderbilt University
IBM
Mehmet Ozkaya
Tom Phillips
Microsoft
Pragmatic AI Labs
Alex Dan
SkillsBooster Academy

Learning plan

5 hours

6 hours

10 hours

2 weeks

2 weeks

By the end of this plan, you'll be ready to achieve the goals you set.

You'll also earn 18 course certificates to add to your LinkedIn profile or resume — proof of your new skills.

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