What if an AI assistant could do more than answer questions? What if you could give it a task and let it work directly with the files, tools, and information you already use?
That is the idea behind Claude Code.
In the newest course in our AI Apps & Agents Series, instructor Brian Brinkman explores Claude Code and shows why a tool originally associated with software development can be useful far beyond coding.
In about 15 minutes, you'll see what it looks like to move from prompting AI for individual outputs to delegating multi-step work to an AI agent.
Claude Code is an agentic AI tool that can interact with files and tools on your computer to complete work.
That distinction matters. Instead of simply asking a chatbot a question and receiving a response, Claude Code can work through tasks using the information and resources available to it.
In this course, you'll see examples of Claude Code analyzing information, building an interactive analytics dashboard, and creating a client-ready estimate using existing templates and information.
The goal is not to turn you into a developer. It's to help you understand what becomes possible when AI can move beyond chat and start working through real processes.
This beginner-to-intermediate course gives you a practical introduction to Claude Code and the building blocks that shape how it works.
You'll learn how to:
One of the most useful parts of the course is seeing these concepts come together in complete workflows rather than isolated prompts.
For many professionals, using generative AI still means opening a chatbot, asking a question, getting an output, and then taking the next step themselves.
Claude Code introduces a different way of thinking about AI.
Instead of asking, "What can I ask AI?" the course encourages you to consider, "What work could I give an AI agent to do?"
You'll see how Claude Code can work with existing information to analyze data and create finished deliverables. You'll also get introduced to skills and connectors, along with the models, context, usage limits, and permissions that are important to understand as you give an agent access to more of your tools and information.
That last piece is especially important. More capable agents require thoughtful decisions about what they can access and what actions they're authorized to take.
This course is designed for AI-curious professionals who may have assumed that a product with "Code" in its name isn't relevant to them.
It's also a fit for knowledge workers who regularly work across files, data, reports, templates, and repeatable processes; team leads evaluating what agentic AI can accomplish beyond chat; and power users who are ready to explore delegating larger, multi-step workflows to AI.
No matter where you fall, the course offers practical examples to help you evaluate where a tool like Claude Code could fit into your work.
Brian Brinkman is a partner at Stream Creative, a full-service marketing agency based in Milwaukee, Wisconsin. He oversees areas including operations, accounting, design, and HR, with a focus on streamlining processes and integrating technology.
An early adopter of AI, Brian has helped Stream Creative incorporate automation and AI into its operations. His work has been recognized by Google, including through its Economic Impact Report and AI training courses on Coursera. He has also met with U.S. senators on AI policy and demonstrated AI tools for members of Congress.
In this course, Brian brings that practical, process-focused perspective to Claude Code, showing what agentic AI can look like when applied to everyday professional work.
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