Andrew Ng's Machine Learning Collection
Andrew Ng's Machine Learning Collection is a £39/mo all levels-level course from Coursera, typically completed in Self-paced (around 100 study hours).
- Price
- £39/mo
- Duration
- Self-paced
- Level
- All levels
- Study hours
- 100 hours
- Provider
- Coursera
About this course
Andrew Ng's curated collection spanning the full ML journey from foundations to deployment. You will master supervised and unsupervised learning, build deep learning systems, apply MLOps foundations, and work on applied ML projects across multiple domains — one of the most respected ML learning paths available.
What you will be able to do
- Explain how supervised and unsupervised learning differ
- Explain the role in plain terms and identify your next learning step
- Train and evaluate models on a prepared dataset
- Assemble portfolio evidence you can explain and defend at interview
Highlights
- Master supervised learning including regression and classification
- Apply unsupervised techniques including clustering and anomaly detection
- Build deep learning models with TensorFlow
- Apply MLOps practices to deploy and monitor models
- Complete applied ML projects across computer vision and NLP
Questions people ask
How much does Andrew Ng's Machine Learning Collection cost?
Andrew Ng's Machine Learning Collection costs £39/mo through Coursera. Prices are checked against the provider's UK listing and can change.
How long does Andrew Ng's Machine Learning Collection take?
The provider lists Self-paced. That works out at roughly 100 study hours in total.
Is Andrew Ng's Machine Learning Collection suitable for beginners?
It is pitched at all levels level, so some prior experience helps.
Similar AI & Machine Learning courses
- PL-7008: Create Agents in Copilot Studio — Microsoft · Free · 2–4 weeks · Beginner · 18 study hours
- AI and Machine Learning Level 5 — GATESHEAD COLLEGE · Free · 6 Weeks · Advanced
- CS231n: Deep Learning for Computer Vision — Stanford University · Free · ~80 hours · Advanced · 80 study hours
- DeepLearning.AI — ChatGPT Prompt Engineering for Developers — DeepLearning.AI · Free · 1.5 hours · Beginner · 2 study hours
- Introduction to Generative AI — edX (Pragmatic AI Labs) · Free · 4 weeks · Beginner · 14 study hours
- AI Agents Course — Hugging Face · Free · ~25 hours · Intermediate · 25 study hours
Compare all UK courses · Check whether this course closes your skills gap