Udemy

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

Name: Full-Stack AI Engineer 2026: ML, Deep Learning, GenerativeAI
Price: 449 INR
Availability: InStock

Full-Stack AI Engineer 2026: ML, Deep Learning, GenerativeAI is an online course from Udemy in Machine Learning. It is structured in 16 modules with 6 stated learning outcomes, over 33.5 hours. It costs ₹449, certificate included. Learners rate it 4.5/5 from 840 ratings on Udemy, with 17.3K enrolled.

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

★★★★★4.5(840 reviews) 17.3K learners English

Course highlights

Provider	Udemy
Duration	33.5 hours
Level	All Levels
Mode	Self-paced
Language	English
Certificate	Yes — shareable certificate
Instructor	School of AI
Rating	4.5★ (840 reviews)
Learners	17.3K
Price	₹449 ₹799

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 All Levels level.

It is published as suitable across experience levels, so beginners and people brushing up share the same material.

Time commitment: 33.5 hours.

It is self-paced, so that figure is the material, not a fixed schedule.

What this course covers

16 modules

The 16-part outline Udemy publishes for this course, across 33.5 hours.

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

4.5

★★★★★

840 ratings

Rated 4.5/5 by 840 learners on Udemy (checked 6 Oct 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 CoursesGlobal 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 6 October 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	4.5★	₹449	33.5 hours	Most popular — 17.3K learners
Machine Learning	Coursera	4.9★	Check price	2 months	Highest rated (4.9★ from 39.5K reviews)	View ↗
Machine Learning with Python	Coursera	4.7★	Check price	20h 26m	Quickest to finish (20h 26m)	View ↗
Machine Learning: Classification	Coursera	4.7★	Check price	21h 25m	All Levels · 21h 25m · certificate	View ↗

See all Machine Learning courses →

Where Machine Learning leads

Roles we map to Machine Learning on CoursesGlobal. 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

How much does Full-Stack AI Engineer 2026: ML, Deep Learning, GenerativeAI cost?

It is listed at ₹449 on Udemy, last checked 6 October 2026. Course prices change and providers run discounts, so treat this as the list price and confirm on the provider page.

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.

How long does Full-Stack AI Engineer 2026: ML, Deep Learning, GenerativeAI take?

Udemy lists it at 33.5 hours. It is self-paced, so that is the volume of material rather than a deadline — how long it actually takes depends on the hours you put in each week.

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

Udemy lists it as suitable for all levels, so beginners and people brushing up work through the same material.

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.

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

School of AI, as listed by Udemy.