AI & Machine Learning Course 2026: Beginner to Advanced (Udemy.com)
Learn AI, Machine Learning & Deep Learning with Real Projects, NLP, Model Building & Real-World Applications
Created by: Programming Hub
Last updated August 2026
What you will learn
- Understand the fundamentals of Artificial Intelligence (AI) and Machine Learning (ML)
- Learn how machines learn using Supervised, Unsupervised, and Reinforcement Learning methods
- Grasp the role of statistics, data preprocessing, and feature selection in building accurate models
- Build a solid foundation in machine learning algorithms, including regression, classification, and clustering
- Explore advanced topics like Deep Learning, Natural Language Processing (NLP), and Computer Vision
- Identify and address bias and ensure ethical AI implementation
- Gain hands-on experience through real-world AI & ML projects across business and industry use cases
- Understand how AI is applied in different sectors, from automation to decision-making systems
- Develop familiarity with industry tools, libraries, and languages used in AI & ML
How it compares
Against the other 461 rated Udemy courses in Data Science on CourseDuck:
- Rating4.4 out of 5higher than 28% of them
- Reviews2,222#85 of 462 by number of reviews
- Length6.9 hoursshorter than 55% of them
- Last updatedAugust 2026more recently than 88% of them
Course Description
Curious about Artificial Intelligence and Machine Learning, but not sure where to begin? This course is designed to make the journey simple, practical, and easy to follow.
You’ll start with the basics of AI and Machine Learning and gradually move into exciting topics like supervised learning, unsupervised learning, reinforcement learning, Deep Learning, and Natural Language Processing (NLP).
Instead of only learning definitions and theory, you’ll see how the ideas actually work. You’ll understand how data is prepared, how Machine Learning models are trained, how algorithms are chosen, and how results are tested and improved.
You’ll also work through practical examples, guided projects, and real-world use cases so you can connect what you learn to situations outside the classroom.
What You’ll Explore
The core ideas behind Artificial Intelligence and Machine Learning
How supervised, unsupervised, and reinforcement learning work
The basics of Deep Learning and NLP
How to clean and prepare data for Machine Learning
How Machine Learning models are built and trained
Ways to evaluate and improve model performance
Practical AI and Machine Learning projects
Real-world applications of AI in business, healthcare, finance, and technology
The role of statistics in Machine Learning
AI ethics, bias, and responsible AI
Popular tools, libraries, and technologies used in AI & ML
You’ll also get a clearer picture of the complete Machine Learning journey:
Data → Preparation → Model → Training → Testing → Improvement → Real-World Use
Whether you’re a student, developer, working professional, or simply curious about AI, you don’t need to be an expert to get started.
By the end of the course, you’ll have a strong understanding of Artificial Intelligence, Machine Learning, Deep Learning, NLP, data preprocessing, model building, and real-world AI applications.
Most importantly, you won’t just know what these technologies are — you’ll understand how the pieces connect and how intelligent systems are built step by step.
Instructor Details
- 4.4 Rating
2,222 Reviews
Programming Hub
Programming Hub is now on Udemy. Welcome to Programming Hub, a group of passionate programmers hosting an impressive collection of over 40+ applications on both the PlayStore and the App Store. We serve as a vibrant learning catalyst for over 40 million+ global students, providing resources that stretch beyond the classroom and into the world.
At Programming Hub, we take pride in our unwavering dedication to excellence, a testament to which is our consistently high ratings above 4.7 stars. Our platform is more than just programming, it's a hotbed of learning opportunities and resourceful insights that spans across various fields. All our courses follow a customised version of Kolb's learning framework and are known for our practical, bite sized approach to learning.
Why students love us: Active since 2012, Programming hub has created practical yet easy to follow courses. While we started with Programming and are very much in love with Programming, now we have ventured beyond and now have courses in Analytics, Marketing, AI, ML, Design, Leadership as well.
Content depth and breadth: Each of our course comes with thought through pedagogy and practical illustrations. We have added usable resources, code snippets as well as attachments which are relevant to that course wherever needed. Every course has relevant projects from that domain or exper
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Reviews
By Pravin Tarate on 8/3/2026
This course exceeded my expectations. The content is well structured and easy to understand.
By Andre Labreche on 7/9/2026
Please provide the transcripts or PDF for each course - the delivery of the material could be improved in its clarity of speech. The course designer needs to account for the fact that some of its audience will consume the material at 1.5x or faster - clarity is key. Last point: there is a lot of repetition on basic concepts while complex elements are simply sped through.
By Iliyas Babu on 6/29/2026
Excellent Explantion of AI and ML Concepts and Helps every AI/ML Student to understand and apply the learnings
By Nityanand Gaonkar on 6/21/2026
It was a wonderful course for anyone wants to learn about history, basics and fundamentals of the machine learning.
By Dr. ABHISHEK CHAUDHARY on 6/16/2026
This course is highly informative and beneficial for learners from diverse academic and professional backgrounds. It provides a strong foundation and helps participants understand the concepts in a simple, structured, and practical manner. The way the topics are explained makes complex ideas easier to grasp and apply in real-world situations. Special appreciation goes to Laxmi Narayan Sir for his excellent teaching approach, clear explanations, and ability to simplify difficult concepts. His dedication, expertise, and engaging style of instruction make the learning experience more effective and enjoyable. Overall, this course is a valuable learning opportunity for anyone looking to enhance their knowledge and skills.
By ANIL KUMAR Singh on 5/18/2026
Really nice explanation and very well given examples. Hoping more practical in upcoming session like , how to create and deploy custom models.
By Piyush Jain on 4/29/2026
Thanks for teaching me basic of ml and generating the intreset in me to learn more about the AI world
By Anonymized User on 4/28/2026
try and reduce the repetition of the same concepts and statements across chapters... reduces the value and increases the time spent on this course
By Dilip Pal on 3/25/2026
I like teaching way of this instructor. very informative and easy way of teaching. Appreciate it !
By Milsu Itty Panicker on 11/13/2025
Not impressive..the tutor is not keeping consistency.not good for people who do not have experience in any of these..
Quality Score
No CourseDuck member has rated this course yet. Taken it? Give each part a thumbs up or down.
Overall Score : 88 / 100












