Learning path
Learning AI as a Backend Developer
AI can draft endpoints, schemas, and tests while you keep the judgment. This path shows backend developers where it helps most and how to stay in control.

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 a backend developer, 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 backend developers, 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 backend developerYour 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 backend developers 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 backend developers: api security best practicessql query optimization assistantdata query optimization assistantapi rate limit handlerapi endpoint builderapi integration architectapi integration specialistbackend security coder
Take the prompt courses
A short framework course to learn how to ask, then 8 lessons with ready-to-use prompts for backend developers.
Start with this framework: how to talk to AI
Prompt framework course
Context Engineering and Structured Prompts
Context engineering fits backend developers by structuring prompts for agents that automate API error triage and generate tested database migration scripts.
Then your prompt course for backend developers
Prompt course
AI for Backend Developers (Prompt Course)
Watch the video courses or add them to your Favorites for later
130 video courses our AI picked for backend developers, most useful first. Save the ones you want to watch later with the heart.
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Show all 130 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.
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More certifications for backend developersShow all 24 certifications
About this learning path
7 topicsAI for backend developers: a practical working path
Backend work is mostly judgment: what to build, what to change, what to leave alone. AI is good at the first pass, the draft, the summary, and the search through unfamiliar code. The trick is knowing which parts to hand over and which parts to keep.
This path is built for working backend developers. It starts with the questions worth asking before you connect anything, then moves through the skills you already use daily, and finishes with prompts and short video courses chosen for this job.
Why AI matters for backend work now
The tools have gotten good at reading code, writing boilerplate, and explaining error messages. That changes how fast a first draft appears, whether it is a new endpoint, a migration, or a test file.
The work does not disappear. It moves toward review, design, and the parts that need a person who knows the system.
What the path includes
You start with setup questions and a short guide to connecting your AI tool to the way you work. Then come the skills for the job inside your AI, the eight prompt lessons, video courses picked for backend work, and the certifications attached to those courses.
How it saves you time
Most of the time comes back in the small loops: drafting an endpoint, reading a slow query plan, summarizing a long log file, or writing the first version of a test. None of these are the whole job, but together they add up across a week.
How it protects your career
The developers who do well with these tools are the ones who check the output and can explain why it is right. This path keeps you in that seat. You learn to ask for the reasoning, test the result, and keep security and privacy decisions in your hands.
How to start this week
Pick one lesson that matches something on your board right now. Run the prompt, compare the answer to what you would have written, and note where it helped. Then try a second lesson the next day.
Working with your team's rules
Every team has its own line about what can go into a prompt. Find out where yours is before you paste code or logs. The course covers this in the safety lesson, and the path keeps it in view throughout.
Frequently asked questions
Do I need to be an AI expert to start?
No. The path assumes you are comfortable with your normal backend tools and nothing more. You will learn the prompts and habits as you go, one lesson at a time.Will AI write my code for me?
It can write a first draft, and sometimes that draft is useful. You still decide what ships. The lessons focus on reviewing, testing, and improving what the tool gives you.How much time does the path take?
Most people move through it in short sittings between other work. The prompt lessons are quick to read and quick to try. The video courses are there when you want more depth on a topic.Is my company code safe to paste into these tools?
That depends on your company's rules and the tool's settings. The safety lesson walks through the questions to ask, and the path tells you to check with your team before sharing anything sensitive.