Learning path · 4 courses
Applied AI engineer
The four skills AI job posts name most: machine learning with scikit-learn, computer vision with OpenCV, deep learning with TensorFlow and Keras, and RAG chatbots with LangChain, each with a plant project.
In order
The courses
Take them in this order. Each one is free and stands on its own.
- 1Machine Learning with PythonAI and machine learning · Beginner · 18 hours
- 2Computer Vision with OpenCVAI and machine learning · Beginner · 19 hours
- 3Deep Learning with TensorFlow and KerasAI and machine learning · Intermediate · 27 hours
- 4RAG and Chatbots with LangChainAI and machine learning · Intermediate · 15 hours
Then
Practise the job and find one
- Machine Learning Engineer job simulation
Train, evaluate and document a model, and catch target leakage. Days 1 to 5 are free.
- AI and ML jobs in the UK
Live jobs, updated daily. Free to browse and apply.
- EDWartens Lab
Free browser simulators to practise what each course teaches.
Questions
Applied AI engineer: common questions
Is the Applied AI engineer path free?
Yes. All 4 courses are free: every lesson, quiz and final exam costs nothing. A verifiable certificate for a course is optional, at £19 including VAT once you pass its final exam. It is a certificate of completion, not a regulated qualification.
How long does it take?
About 79 hours of video across 4 courses, plus quizzes. At five hours a week that is roughly 16 weeks, and you can start or stop any course whenever you like.
Do I need hardware or paid software?
No PLC hardware is needed. Each course page lists the software it uses; most run in free or trial versions, and many have practice in the browser-based EDWartens Lab.
What can it lead to?
Practise the job itself with the free Machine Learning Engineer job simulation (the first five days are free, no card), then browse live UK AI and ML jobs. Neither is a promise of a job.