Practical AI training for everyone
LearnModule 1
12 min read
"AI job" describes at least four different careers with different daily work, different interviews and different entry routes. People waste months preparing for the wrong one. The first useful thing this track can do is tell you which door you are standing in front of.
Some organisations also have AI adoption, enablement or transformation roles. These combine domain knowledge, change management and tool evaluation. Their technical requirements, seniority and pay vary; they are not automatically entry-level alternatives to engineering.
AI assistance makes reviewing generated work a useful skill, but it does not remove the need to program, debug, test and understand data. Practise both unaided fundamentals and reviewing assisted work. Use actual vacancies in your target market to decide how much system design, evaluation and operational knowledge to prepare.
The balance of work varies by team. Application roles often involve data preparation, retrieval, evaluation, integration, code review and deployment alongside model selection. Ask how a team divides its time rather than assuming a fixed weekly pattern.
A real week, roughly
Two days extending an ingestion pipeline so a new document type is chunked sensibly. One day on an evaluation set after support flagged three wrong answers. Half a day reducing token spend on a prompt that runs on every request. The rest in review, standups and a meeting about whether a feature should exist. Model selection came up once, for twenty minutes.
Demonstrate what you built, how you tested it and where it fails, and practise explaining decisions on unfamiliar problems. Employers weigh these alongside experience, qualifications and other requirements. The four projects provide material for that discussion; they are not a hiring guarantee.
You should be able to write a small program in Python or JavaScript, call an HTTP API, handle JSON, use Git, and debug a failing test. If those are new, practise them before attempting the engineering projects. The free AI course introduces tool use; it is not a programming course. Project time estimates describe focused work by someone with these prerequisites, and exclude learning a new stack, hosting setup and review turnaround.
Try it now
Find three relevant vacancies in your location or eligible remote market. Classify the work, list the essential skills you can demonstrate, and separate gaps you can close in a project from requirements such as work authorisation or professional qualifications. Use that list to plan your study.
A few quick questions. You'll see an explanation after each one.
Question 1 of 7
Which role most directly matches building retrieval and tool-using applications on existing models?
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