Machine Learning, Data Science & AI Engineering with Python
Machine Learning, Data Science & AI Engineering with Python is a beginner-level online course from Udemy in Machine Learning. It is structured in 17 modules with 8 stated learning outcomes. It is free to enrol, and a certificate is available on completion. Learners rate it 4.6/5 from 36.9K ratings on Udemy, with 246.7K enrolled.
Part of our Machine Learning courses collection, where we compare it against 9 other courses.
Course highlights
| Provider | Udemy |
| Level | Beginner |
| Mode | Self-paced |
| Language | English |
| Certificate | Yes — shareable certificate |
| Rating | 4.6★ (36.9K reviews) |
| Learners | 246.7K |
| Price | Free Free |
What you’ll learn
Level and time commitment
Skills you’ll gain
What this course covers
17 modulesThe 17-part outline Udemy publishes for this course.
Module 1 · Getting Started
Module 2 · Statistics and Probability Refresher, and Python Practice
Module 3 · Predictive Models
Module 4 · Machine Learning with Python
Module 5 · Recommender Systems
Module 6 · More Data Mining and Machine Learning Techniques
Module 7 · Dealing with Real-World Data
Module 8 · Apache Spark: Machine Learning on Big Data
Module 9 · Experimental Design / ML in the Real World
Module 10 · Deep Learning and Neural Networks
Module 11 · Generative Models
Module 12 · Generative AI: GPT, ChatGPT, Transformers, Self Attention Based Neural Networks
Module 13 · The OpenAI API (Developing with GPT and ChatGPT)
Module 14 · Retrieval Augmented Generation (RAG,) Advanced RAG, and LLM Agents
Module 15 · Agentic AI Patterns and the OpenAI Agents SDK
Module 16 · Final Project
Module 17 · You made it!
What learners rate it
Rated 4.6/5 by 36.9K learners on Udemy (checked 25 Aug 2026).
This rating is collected by Udemy from its own enrolled learners. We reproduce it as reported and do not accept paid or incentivised reviews. See it on Udemy →
Compiled by the 10courses editorial desk. Fees, ratings, duration and certificate details for the 1 course shown are read directly from Udemy course pages — we never estimate a price or a rating. Last verified 25 August 2026.
How we compare and rank courses · Our review policy · Affiliate disclosure
Compare with alternatives
Same topic, different trade-offs — here's who runs each one and what it's best at.
| Course | Provider | Rating | Price | Duration | Why pick this one |
|---|---|---|---|---|---|
| Machine Learning, Data Science & AI Engineering with Python This |
|
4.6★ | Free | Free — and still gives a certificate | |
| Machine Learning |
|
4.9★ | Check price | 2 months | Highest rated (4.9★ from 39.2K reviews) |
| Machine Learning with Python |
|
4.7★ | Check price | 20h 26m | Quickest to finish (20h 26m) |
| Machine Learning: Classification |
|
4.7★ | Check price | 21h 25m | Beginner-friendly · 21h 25m |
Where Machine Learning leads
Roles we map to Machine Learning on 10courses. This is our own mapping of subject to job, not a placement claim by Udemy.
Browse every course we track for one of these — courses for data scientists.
Common questions
Is Machine Learning, Data Science & AI Engineering with Python free?
Yes. Udemy lists it as free to enrol. A certificate is available on completion — providers often charge separately for the certificate even when the course itself is free, so check the fee on the provider page before you count on it.
Does Machine Learning, Data Science & AI Engineering with Python come with a certificate?
Yes — Udemy lists a certificate on completion. It is a course certificate, not a formal qualification or university credit.
Is Machine Learning, Data Science & AI Engineering with Python suitable for beginners?
Yes. Udemy lists it at Beginner level, so no prior experience in the subject is assumed.
What does Machine Learning, Data Science & AI Engineering with Python cover?
It is organised into 17 modules, starting with Getting Started and going on to Statistics and Probability Refresher, and Python Practice, Predictive Models, Machine Learning with Python, Recommender Systems, among others. The full outline is on this page.