Are you looking for the Best Free Online Courses for Machine Learning & Artificial Intelligence? If yes, then this article will definitely help you and provide the 90 best free online courses for machine learning & artificial intelligence from various platforms.
I would recommend you bookmark this article for future reference. Because this article will not only provide FREE AI Courses but also saves your searching time for different free courses for machine learning and artificial intelligence.
So without any further ado, let’s get started-
90 Best Free Online Courses for Machine Learning & Artificial Intelligence/ Best FREE AI Courses
For your convenience, I have created a table for the best free online courses for machine learning, so that you can filter out the course according to your need.
And here we go!
Now, let’s see some Best FREE Artificial Intelligence (AI) Online Courses–
Best FREE Artificial Intelligence (AI) Online Courses/Best AI Courses Online Free
61. Intro to Artificial Intelligence – Udacity
Time to Complete- 4 Months
Level- Intermediate
This is a completely free course to learn artificial intelligence. In this course, you will learn the basics of artificial intelligence( Statistics, Uncertainty, Bayes networks, Machine learning, Logic, and planning).
You will also learn the application of artificial intelligence( Image processing, computer vision, robotics, and robot motion planning, Natural language processing, and information retrieval).
Who Should Enroll?
- Those who have an understanding of probability theory.
Interested to Enroll?
If yes, then start learning here- Intro to Artificial Intelligence
62. AI Fundamentals – Udacity
Time to Complete– 1 Month
Level- Beginner
This is a beginner-friendly course to learn the fundamentals of artificial intelligence. In this course, you will learn AI Fundamentals with Azure and core concepts of AI and machine learning.
Then you will learn how to train and evaluate models using Azure Machine Learning, and how to use Azure Cognitive Services to handle key workloads in computer vision: object detection, image classification, face detection, text analysis, and processing forms.
In this course, you will also learn natural language processing and analyze text and speech for intent and translate text and speech between languages.
At the end of this course, you will build a Conversational AI.
Who Should Enroll?
- Those who are familiar with basic Python, basic linear algebra, probability, and statistics knowledge.
Interested to Enroll?
If yes, then start learning here- AI Fundamentals
63. Intro to Game AI and Reinforcement Learning– Kaggle
Time to Complete- 4 hrs
Level- Beginner
This course is free and available on Kaggle. There are 4 lessons in this course. In the first lesson, you will learn how to build your own intelligent agents to play the game. Then you will learn the traditional methods for building game AI.
In the last lesson, you will learn how to use reinforcement learning to build an intelligent agent without the use of a heuristic. You can also check your agents’ performance by competing against agents that other users have created.
Who Should Enroll?
- Those who are familiar with Python Programming.
Interested to Enroll?
If yes, then start learning here- Intro to Game AI and Reinforcement Learning
64. Artificial Intelligence for Robotics – Udacity
Time to Complete- 2 months
Level- Advanced
This is an advanced-level course to learn artificial intelligence for robotics. In this course, you will learn how to program the major systems of a robotic car from the leader of Google and Stanford’s autonomous driving teams.
Throughout this course, you will learn probabilistic inference, planning, and search, localization, tracking, and control, all with a focus on robotics.
Python is used for programming and some basic object-oriented concepts are used to model robot motion and perception.
Who Should Enroll?
- Those who have programming knowledge and are familiar with concepts in probability.
Interested to Enroll?
If yes, then start learning here- Artificial Intelligence for Robotics
65. Artificial Intelligence – Udacity
Time to Complete- 4 Months
Level- Intermediate
This is another free course to learn the fundamentals of Artificial Intelligence and in-depth discussion of foundational concepts such as classical search, probability, machine learning, logic, and planning.
In this course, you will also learn how to apply artificial intelligence algorithms to various real-world problems including game playing, navigation, sign-language recognition, etc.
Who Should Enroll?
- Those who are comfortable in Python and algorithms and data structures.
Interested to Enroll?
If yes, then start learning here- Artificial Intelligence
So, these are the 5 Best FREE Artificial Intelligence (AI) Online Courses. Now, let’s see some Best Free Machine Learning Courses-
Best Free Machine Learning Courses/ Machine Learning Courses FREE
66. Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning– Coursera
Rating- 4.7/5
Time to Complete- 31 hours
This course is Free to Audit but for the certificate, you have to pay. In this course, you will learn best practices for using TensorFlow, how to build a basic neural network in TensorFlow, how to train a neural network for a computer vision application, and understand how to use convolutions to improve your neural network.
At the end of this course, you will learn how to improve the results from your deep neural network using a convolution neural network.
Note- To access the course material for Free, press-> Enroll for Free and then press-> Audit the Course.
Interested to Enroll?
If yes, then check out all details here- Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
67. End-to-End Machine Learning with TensorFlow on GCP– Coursera
Rating- 4.5/5
Time to Complete- 13 hours
You can Audit the Course for free. This course will teach machine learning concepts with Tensorflow. In this course, you will explore a large dataset using Datalab and BigQuery, and learn how to use Pandas in Datalab, and sample a dataset for local development.
Then you will develop a machine learning model in Tensorflow and operationalize the model. In the end, this course explains how to preprocess data at scale for machine learning and lets you train a machine learning model at scale on the Cloud AI Platform.
Interested to Enroll?
If yes, then check out all details here- End-to-End Machine Learning with TensorFlow on GCP
68. Intro to Machine Learning
Time to Complete- 1 Week
This is a beginner-level free machine learning course on Udacity. In this course, you will get a complete understanding of machine learning basics. There is no prior experience is required to enroll in this Free course. Anyone who is a beginner can enroll in this course.
Interested to Enroll?
If yes, then check it out here– Intro to Machine Learning
69. Machine Learning by Georgia Tech
Time to Complete- 4 Months
This is another Free machine learning course on Udacity. This is an intermediate-level course where you will learn Supervised Learning, Unsupervised Learning, and Reinforcement Learning. Throughout this course, you will work on real-world projects designed by industry experts.
This course is not for beginners. You can enroll in this course if you know Probability Theory, Linear Algebra, and Statistics. Familiarity with programming language is also required.
Interested to Enroll?
If yes, then check it out here– Machine Learning by Georgia Tech
70. Intro to TensorFlow for Deep Learning
Time to Complete-2 Months
This is another intermediate-level free machine learning course on Udacity. This course will teach you how to build deep learning applications with TensorFlow. In this course, you will get a chance to work on projects and you will build your own state-of-the-art image classifiers and other deep learning models.
You will also learn advanced techniques and algorithms of deep learning. But You should have previous knowledge of linear algebra and Python programming.
Interested to Enroll?
If yes, then check it out here– Intro to TensorFlow for Deep Learning
Udacity Free AI course
S/N | Course Name | Skill- Level | Duration | Topics Covered |
---|---|---|---|---|
71. | Machine Learning by Georgia Tech | Intermediate | 4 Months | Supervised learning, Unsupervised learning, Information theory, Reinforcement learning, Game theory |
72. | Introduction to Machine Learning Course | Intermediate | 10 Weeks | Machine learning, Supervised learning, Unsupervised learning, Evaluation metrics, Data Manipulation |
73. | Machine Learning Interview Preparation | Intermediate | 1 Week | Interview practice, Machine learning, Technical Interview techniques, career advancement |
74. | Machine Learning for Trading | Intermediate | 4 Months | Pandas, Time series analysis, Computational Investing, Algorithmic trading, Reinforcement learning for Trading |
75. | Machine Learning: Unsupervised Learning | Intermediate | 1 Month | Randomized Optimization, Clustering, Feature selection, feature transformation, Information theory |
76. | Core ML: Machine Learning for iOS | Intermediate | 1 Week | iOS, Image Classification, Core ML |
77. | AWS DeepRacer | Intermediate | 2 Weeks | Machine learning, Reinforcement learning, AWS DeepRacer |
78. | Reinforcement Learning | Advanced | 4 Months | Reinforcement Learning |
79. | Intro to Deep Learning with PyTorch | Intermediate | 2 Months | Deep Learning, PyTorch, Neural network, CNNs, LSTMs, Style Transfer |
80. | Intro to Artificial Intelligence | Intermediate | 4 Months | Artificial Intelligence, Machine learning, Probability, Logic, and Planning, Markov models |
81. | Spark | Intermediate | 10 hours | Spark, SparkSQL, Spark Dataframes, Data wrangling, Machine learning |
82. | Introduction to TensorFlow Lite | Intermediate | 2 Months | TensorFlow Lite, Deep learning models, Android, iOS, Linux |
83. | Data Wrangling with MongoDB | Intermediate | 2 Months | Gathering data, Assessing data, Cleaning data, Data wrangling, MongoDB |
84. | Artificial Intelligence | Intermediate | 4 Months | Artificial Intelligence, Probability, Bayesian Networks, Logic, and Planning, Machine learning |
85. | Artificial Intelligence for Robotics | Advanced | 2 Months | Probabilistic models, Kalman filters, Motion Planning, Robot Control, Simultaneous Localization and Mapping |
86. | Knowledge-Based AI: Cognitive Systems | Advanced | 7 Weeks | Semantic Networks, Common- Sense reasoning, Logic and Planning, Analogical Reasoning, Visuospatial Reasoning |
87. | Linear Algebra Refresher Course with Python | Intermediate | 4 Months | Algebra, Python, Vectors, Intersections |
88. | Introduction to Computer Vision | Intermediate | 4 Months | Image Processing, Stereo Geometry, Feature detection, and Matching, Object Tracking, Classification, and Recognition |
89. | Secure and Private AI | Advanced | 2 Months | Differential Privacy, Federated learning, Encrypted Computation |
90. | Intel® Edge AI Fundamentals with OpenVINO™ | Intermediate | 1 Month | Edge AI, Intel OpenVINO, Computer Vision, Deep Learning |
So, these are the 5 Best Free Machine Learning Courses/ Machine Learning Courses.
FAQ on Best Free Online Courses for Machine Learning & Artificial Intelligence
Conclusion
So, these are the 90 Best Free Online Courses for Machine Learning & Artificial Intelligence in 2025. I will keep adding more AI ML free courses to this list.
But I hope these FREE courses for Machine Learning & Artificial Intelligence will definitely help you to enhance your machine learning skills. If you have any doubt or questions, feel free to ask me in the comment section.
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Written By Aqsa Zafar
Founder of MLTUT, Machine Learning Ph.D. scholar at Dayananda Sagar University. Research on social media depression detection. Create tutorials on ML and data science for diverse applications. Passionate about sharing knowledge through website and social media.