Learning path
Learning AI as an AI Engineer
AI engineers build and maintain systems that learn from data. This path helps you use AI tools to write, debug, and deploy models with more confidence and less busywork.
Your path
First steps
- Step 1Answer the setup questionsYour job, tasks and AI, so everything fits.
- Step 2Connect your AI: get an expert co-worker for your jobAdd one link to the ChatGPT, Claude or Grok you already use. From then on your own AI knows your work as an ai engineer, and helps like an expert sitting next to you.
- Your daily brief, inside your AI. Just type "Good morning" for the AI news and tools that matter for ai engineers, picked from everything that came out yesterday.
- New ideas every day, each with the prompt to do it, plus a short lesson in the right order for your level.
- Nothing to install, nothing to learn. Connect once and keep working the way you do now. It stays up to date by itself.
- Step 3Give your AI the skills of a top ai engineerYour AI becomes a specialist in your job: it picks the right skill by itself, the moment you need it.
- 6,000+ ready-made skills, with the ones for ai engineers picked for you: reports, analysis, emails, planning and more, done the expert way.
- 4,000+ MCP services that link your AI to the apps you already use, like your calendar, email, CRM or spreadsheets, so it can look things up and get work done there too.
- Build your own apps without coding. Your AI builds tools for your business from 2,000+ step-by-step app plans, so you stop paying for apps you could own.
- Always the newest. New skills and services are added every week and arrive in your AI by themselves.
- Skills picked for ai engineers: senior ml engineerdata cleaning guidance assistantdebugging and error recoverymachine learning project advisordata engineering data driven featureai model optimization advisoroptim agentpytorch lightning
Take the prompt courses
A short framework course to learn how to ask, then 8 lessons with ready-to-use prompts for ai engineers.
Start with this framework: how to talk to AI
Prompt framework course
Context Engineering and Structured Prompts
This framework helps you build reliable AI agents by structuring context, like a support ticket triage assistant that cites retrieved docs.
Then your prompt course for ai engineers
Prompt course
AI for AI Engineers (Prompt Course)
Watch the video courses or add them to your Favorites for later
180 video courses our AI picked for ai engineers, most useful first. Save the ones you want to watch later with the heart.
Favorites are saved to your account: sign in or create your account first.
Show all 180 video courses
Get certified, or add certifications to your Favorites
Every course ends in an exam and a certificate you can add to LinkedIn. Save the certifications you are aiming for with the heart.
Favorites are saved to your account: sign in or create your account first.
More certifications for ai engineersShow all 24 certifications
About this learning path
6 topicsYour learning path as an AI engineer
AI engineering is moving fast. The tools you use to write, test, and ship models now include AI assistants that can help with the routine parts and the hard parts.
This path is for working AI engineers who want practical help without leaving their job. It starts with setup questions and connecting your AI, then adds skills for the job inside your AI, this prompt course, and video courses picked for the job and the certifications of those courses.
Why AI matters now
Your models are growing, your data is messy, and your team wants results sooner. AI assistants can help you move through code, errors, papers, and deployment tasks with less time lost to searching.
The engineers who use these tools well still own the thinking. They just spend less time on blank pages and repetitive checks.
What the path includes
First, setup questions help you choose an assistant and connect it to your work in a safe way. Then you get skills for the job inside your AI, so prompts fit the daily tasks of an AI engineer.
The path also includes this prompt course and video courses picked for the job, along with the certifications of those courses. You can follow the order or jump to what you need today.
How it saves time
You will learn prompts for drafting Python, reading error messages, planning training runs, and writing deployment notes. Small saves add up across a week.
You can also use AI to explain a paper before a meeting or turn a messy experiment into a clear summary for your team.
How it protects your career
AI tools do not replace judgment, system design, or responsibility for what ships. This path helps you build those habits while you use AI, so your work stays reviewable and trustworthy.
You stay current with the tools your team is already trying, and you learn to check outputs instead of trusting them blindly.
How to start
Begin with the setup questions and connect one assistant you already have access to. Pick one lesson from the prompt course, such as debugging or data preparation, and try it on a real but low-risk task.
Keep notes on what worked. Then choose one video course from the path and its certification if it fits your goals.
Frequently asked questions
Do I need to be an expert coder to use this path?
No, but you should be comfortable reading and writing code as an AI engineer. The path assumes you know the basics of Python, models, and your team's tools.Which AI assistant should I use?
You can use ChatGPT, Claude, Gemini, or another approved tool at work. The prompts in the course are written to work across assistants, so you can switch as needed.Will the course write my code for me?
It will help you draft, debug, and explain code, but you remain the engineer. You review every line, run tests, and decide what goes into production.How do I protect private data?
Follow your company rules first. Do not paste secrets, keys, customer data, or private model code into tools that are not approved for that data.