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Mastering Artificial Intelligence

Mastering Artificial Intelligence is a beginner-level online course from Udemy in Artificial Intelligence. It is structured in 7 modules with 8 stated learning outcomes. It is free to enrol, and a certificate is available on completion. Learners rate it 4.3/5 from 425 ratings on Udemy, with 1.3K enrolled.

Part of our Artificial Intelligence courses collection, where we compare it against 12 other courses.

★★★★★4.3(425 reviews) 1.3K learners English

Course highlights

Provider Udemy
Level Beginner
Mode Self-paced
Language English
Certificate Yes — shareable certificate
Rating 4.3★ (425 reviews)
Learners 1.3K
Price Free Free

What you’ll learn

Students will develop a solid understanding of the definition and historical evolution of AI.
Students will see how AI technologies are transforming industries and solving complex problems.
Students will explore the responsibilities associated with AI technologies, including topics like bias, fairness, transparency, and privacy.
This course will equip students with essential machine learning skills, including supervised learning techniques for prediction and classification.
Students will gain a comprehensive understanding of deep learning, including the principles and techniques behind artificial neural networks.
Students will learn how feedforward neural networks work and how they can be used for various AI tasks.
Students will explore different activation functions used in neural networks and understand their role in modeling complex data.
Students will learn how CNNs are used for image recognition and processing.

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

7 modules

The 7-part outline Udemy publishes for this course.

Module 1 · Introduction to Artificial Intelligence
Module 2 · Machine Learning Fundamentals
Module 3 · Deep learning
Module 4 · Natural Language Processing (NLP)
Module 5 · Computer Vision
Module 6 · Reinforcement Learning
Module 7 · Capstone Project

What learners rate it

4.3
★★★★★
425 ratings

Rated 4.3/5 by 425 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
Mastering Artificial Intelligence This Udemy 4.3★ Free Free — and still gives a certificate
YUVA AI for ALL Coursera 4.8★ Check price 8h 35m Highest rated (4.8★ from 433 reviews)
Artificial Intelligence (AI) Education for Teachers Coursera 4.7★ Check price 20h 1m Beginner-friendly · 20h 1m
Introduction to Artificial Intelligence (AI) Coursera 4.7★ Check price 13h 25m Beginner-friendly · 13h 25m
See all Artificial Intelligence courses →

Common questions

Is Mastering Artificial Intelligence 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 Mastering Artificial Intelligence come with a certificate?

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

Is Mastering Artificial Intelligence suitable for beginners?

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

What does Mastering Artificial Intelligence cover?

It is organised into 7 modules, starting with Introduction to Artificial Intelligence and going on to Machine Learning Fundamentals, Deep learning, Natural Language Processing (NLP), Computer Vision, among others. The full outline is on this page.