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Full-Stack AI Engineer 2026: ML, Deep Learning, GenerativeAI

Full-Stack AI Engineer 2026: ML, Deep Learning, GenerativeAI is a beginner-level online course from Udemy in Machine Learning. It is structured in 16 modules with 6 stated learning outcomes. It is free to enrol, and a certificate is available on completion. Learners rate it 4.3/5 from 630 ratings on Udemy, with 16.2K enrolled.

Part of our Machine Learning courses collection, where we compare it against 20 other courses.

★★★★★4.3(630 reviews) 16.2K learners English

Course highlights

Provider Udemy
Level Beginner
Mode Self-paced
Language English
Certificate Yes — shareable certificate
Rating 4.3★ (630 reviews)
Learners 16.2K
Price Free Free

What you’ll learn

Master Python programming for AI, including data types, control flow, functions, and file handling to build strong foundations for machine learning.
Apply data science techniques using NumPy, Pandas, Matplotlib, and Seaborn to clean, visualize, and analyze datasets for actionable AI insights.
Build and evaluate machine learning models using Scikit-learn, covering regression, classification, ensemble methods, and model optimization.
Design and train deep learning models using TensorFlow and PyTorch, including CNNs, RNNs, and LSTMs for vision and sequence-based tasks.
Implement MLOps pipelines with Git, DVC, Docker, MLflow, and CI/CD to automate model deployment and management on AWS, GCP, and Azure.
Create Generative AI and LLM-based applications using OpenAI GPT, Claude, and Gemini APIs with RAG pipelines and custom fine-tuned models.

Level and time commitment

Udemy lists this course at Beginner level.
No prior experience in the subject is assumed — this is where the provider expects a newcomer to start.

Skills you’ll gain

Thing

What this course covers

16 modules

The 16-part outline Udemy publishes for this course.

Module 1 · Introduction to the Course
Module 2 · Week 1: Python Programming Basics
Module 3 · Week 2: Data Science Essentials
Module 4 · Week 3: Mathematics for Machine Learning
Module 5 · Week 4: Probability and Statistics for Machine Learning
Module 6 · Week 5: Introduction to Machine Learning
Module 7 · Week 6: Feature Engineering and Model Evaluation
Module 8 · Week 7: Advanced Machine Learning Algorithms
Module 9 · Week 8: Model Tuning and Optimization
Module 10 · Week 9: Neural Networks and Deep Learning Fundamentals
Module 11 · Week 10: Convolutional Neural Networks (CNNs)
Module 12 · Week 11: Recurrent Neural Networks (RNNs) and Sequence Modeling
Module 13 · Week 12: Transformers and Attention Mechanisms
Module 14 · Week 13: Transfer Learning and Fine-Tuning
Module 15 · Week 14: MLOps and Model Deployment
Module 16 · Week 15: Generative AI and Large Language Model Applications

What learners rate it

4.3
★★★★★
630 ratings

Rated 4.3/5 by 630 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 →

How this page is put together

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
Full-Stack AI Engineer 2026: ML, Deep Learning, GenerativeAI This Udemy 4.3★ Free Free — and still gives a certificate
Machine Learning Coursera 4.9★ Check price 2 months Highest rated (4.9★ from 39.2K reviews)
Machine Learning with Python Coursera 4.7★ Check price 20h 26m Quickest to finish (20h 26m)
Machine Learning: Classification Coursera 4.7★ Check price 21h 25m Beginner-friendly · 21h 25m
See all Machine Learning courses →

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.

Data Scientist

Browse every course we track for one of these — courses for data scientists.

Common questions

Is Full-Stack AI Engineer 2026: ML, Deep Learning, GenerativeAI 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 Full-Stack AI Engineer 2026: ML, Deep Learning, GenerativeAI come with a certificate?

Yes — Udemy lists a certificate on completion. It is a course certificate, not a formal qualification or university credit.

Is Full-Stack AI Engineer 2026: ML, Deep Learning, GenerativeAI suitable for beginners?

Yes. Udemy lists it at Beginner level, so no prior experience in the subject is assumed.

What does Full-Stack AI Engineer 2026: ML, Deep Learning, GenerativeAI cover?

It is organised into 16 modules, starting with Introduction to the Course and going on to Week 1: Python Programming Basics, Week 2: Data Science Essentials, Week 3: Mathematics for Machine Learning, Week 4: Probability and Statistics for Machine Learning, among others. The full outline is on this page.