Tech field · ML Engineer · 5 steps · 20 lessons · 80 min
I want to build machine learning models and put them into real products
From your first scikit-learn model to a deployed, monitored service and a working LLM feature. For people who can code a little and want the engineering side of machine learning.
Step 1 · 3 lessons
The basics
How AI learns and where it slips.
- L001What is AI, really?1 min
- L002How machines learn2 min
- L004Tokens: how AI reads1 min
Step 2 · 3 lessons
Bridge to the field
Meaning as numbers, training versus serving.
Step 3 · 8 partsTrack
The field, step by step
Eight step pages, each with a task to try and a check question.
Step 4 · 4 lessons
Working with AI in the job
Use AI tools well and check their work.
- L025RAG: give AI your documents2 min
- L028Fine-tuning vs prompting2 min
- L018Choosing a model2 min
- L171Testing an AI feature before launch3 min
Step 5 · 2 lessons
Your field and what's next
Where the work is going.
- L183Measuring whether an AI product works3 min
- L132AI and bias2 min
Finish the path
Take the quiz, get the certificate
Score 80% or more on the quiz to unlock a certificate with your name.
Quiz · 10 questions
ML Engineer track quiz
Ten questions on the ML Engineer track. Score 80% or more and tick every step to earn the certificate.
Take the quizCertificate · free
Your certificate
Preview it now. It unlocks when you pass the quiz.
Preview the certificate