90 Best FREE Online Courses for Machine Learning & Artificial Intelligence-2024

Best FREE Online Courses for Machine Learning & Artificial Intelligence

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.

S/NCourse NameRatingProviderTime to CompleteLevel
1.Machine Learning by Stanford University4.9/5Coursera60 hoursBeginner
2. Intro to Machine Learning using Microsoft AzureNAUdacity1 WeekBeginner
3. Machine Learning for All by University of London4.7/5Coursera22 hoursBeginner
4. Machine Learning by Georgia TechNAUdacity4 MonthsIntermediate
5. Intro to TensorFlow for Deep LearningNAUdacity2 MonthsIntermediate
6. Introduction to TensorFlow LiteNAUdacity2 MonthsIntermediate
7. Reinforcement LearningNAUdacity4 MonthsAdvanced
8. Intro to Artificial IntelligenceNAUdacity4 MonthsIntermediate
9. AI For Everyone by Andrew Ng4.8/5Coursera6 hoursBeginner
10. Introduction to Data Science using Python4.4/5Udemy2hr 32minBeginner
11. Association Mining for Machine Learning4.6/5Udemy1hr 48minBeginner
12. Deep Learning Prerequisites: The Numpy Stack in Python V24.6/5Udemy1hr 59minIntermediate
13. What is Machine Learning?4.7/5Udemy1hr 57minBeginner
14. Python Crash Course for Data Science and Machine Learning4.6/5Udemy1hr 39minBeginner
15. Data Science, Machine Learning, Data Analysis, Python & R3.9/5Udemy8hr 7minIntermediate
16. Getting Started with Machine Learning3.9/5Udemy40minBeginner
17. 50 Must-Know Concepts, Algorithms in Machine Learning4.1/5Udemy54min Beginner
18. WEKA – Data Mining with Open Source Machine Learning Tool4.1/5Udemy3hr 30minBeginner
19. Artificial & Machine Learning for AnyBody, Everybody and All4.0/5Udemy1hr 51min Beginner
20. Deep Learning Specialization by Andrew Ng4.8/5Coursera4 months Intermediate
21. Machine Learning with Python4.7/5Coursera22 hoursBeginner
22.Free Machine Learning Course4.5/5fast.aiNABeginner
23. Data Science: Machine Learning by HarvardXNAedX8 WeeksBeginner
24. Machine Learning with Python: from Linear Models to Deep LearningNAedX15 WeeksAdvanced
25. Machine Learning FundamentalsNAedX10 WeeksAdvanced
26. PyTorch Basics for Machine LearningNAedX5 WeeksBeginner
27. Advanced Machine LearningNAedX5 WeeksIntermediate
28. Mathematics for Machine Learning Specialization4.6/5Coursera4 MonthsBeginner
29. Machine Learning with Python: A Practical IntroductionNAedX5 WeeksBeginner
30.Machine Learning: Unsupervised LearningNAUdacity1 MonthIntermediate
31. Machine Learning for TradingNAUdacity4 monthsIntermediate
32. Welcome to Artificial Intelligence4.3/5Udemy49minBeginner
33.Artificial Intelligence Markup Language (AIML)4.6/5Udemy3hr 42min Beginner
34.Artificial Intelligence: Preparing Your Career for AI4.4/5Udemy45min Beginner
35. Artificial Intelligence and Machine Learning Made Simple4.3/5Udemy44minBeginner
36. Kickstart Artificial Intelligence4.2/5Udemy3hr 5min Beginner
37. Artificial Intelligence In Bioinformatics4.2/5Udemy1hr 41minIntermediate
38. Learn basics about A.I. (Artificial Intelligence)4.1/5Udemy1hr 22minBeginner
39. Artificial Intelligence Stock Trading QuickStart Course4.6/5Udemy2hr 20min Beginner
40. Amazing AI: Music Editing with Deep Learning4.6/5Udemy30minBeginner
41. Building a Facebook Chatbot in Chatfuel4.4/5Udemy2hr 51min Beginner
42. Basics of Deep Learning4.4/5Udemy1hr 46minIntermediate
43. Deep Learning with PyTorch – Zero to GANs4.1/5Udemy1hr 33min Intermediate
44. Machine Learning Crash CourseNAGoogle15 hoursBeginner
45. Learn with Google AINAGoogleNAFor All
46. Machine Learning by Columbia UniversityNAedX12 WeeksAdvanced
47. Artificial Intelligence for RoboticsNAUdacity 2 MonthsAdvanced
48. Intro to Machine LearningNAKaggle3 hrsBeginner
49. Intermediate Machine LearningNAKaggle4 hrsIntermediate
50. Intro to Deep LearningNAKaggle4 hrsAdvanced
51. Intro to Game AI and Reinforcement LearningNAKaggle4 hrsIntermediate
52. AI Foundations for Everyone Specialization4.7/5Coursera3 months Beginner
53. Intro to Deep Learning with PyTorchNAUdacity2 Months Intermediate
54. Machine Learning Interview PreparationNAUdacity1 WeekIntermediate
55. Machine Learning with Python by Great LearningNAYouTube10 hoursBeginner
56. Machine Learning Full Course by EdurekaNAYouTube10 hoursBeginner
57. Machine Learning Course by SimplilearnNAYouTube10 hoursBeginner
58. Logistic Regression Practical Case Study4.6/5Udemy1hr 4min Intermediate
59. Learn Machine Learning 101 Class Bootcamp Course NYC3.9/5Udemy1hr 23minBeginner
60. CatBoost vs XGBoost – Quick Intro and Modeling Basics4.8/5Udemy50minIntermediate

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 LearningUnsupervised 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/NCourse Name Skill- LevelDurationTopics Covered
71. Machine Learning by Georgia TechIntermediate4 MonthsSupervised learning, Unsupervised learning, Information theory, Reinforcement learning, Game theory
72. Introduction to Machine Learning CourseIntermediate10 WeeksMachine learning, Supervised learning, Unsupervised learning, Evaluation metrics, Data Manipulation
73. Machine Learning Interview PreparationIntermediate 1 WeekInterview practice, Machine learning, Technical Interview techniques, career advancement
74. Machine Learning for TradingIntermediate4 MonthsPandas, Time series analysis, Computational Investing, Algorithmic trading, Reinforcement learning for Trading
75. Machine Learning: Unsupervised LearningIntermediate1 MonthRandomized Optimization, Clustering, Feature selection, feature transformation, Information theory
76. Core ML: Machine Learning for iOSIntermediate1 WeekiOS, Image Classification, Core ML
77. AWS DeepRacerIntermediate2 WeeksMachine learning, Reinforcement learning, AWS DeepRacer
78. Reinforcement LearningAdvanced4 MonthsReinforcement Learning
79. Intro to Deep Learning with PyTorchIntermediate2 MonthsDeep Learning, PyTorch, Neural network, CNNs, LSTMs, Style Transfer
80. Intro to Artificial IntelligenceIntermediate4 MonthsArtificial Intelligence, Machine learning, Probability, Logic, and Planning, Markov models
81. SparkIntermediate10 hoursSpark, SparkSQL, Spark Dataframes, Data wrangling, Machine learning
82. Introduction to TensorFlow LiteIntermediate2 MonthsTensorFlow Lite, Deep learning models, Android, iOS, Linux
83. Data Wrangling with MongoDBIntermediate2 MonthsGathering data, Assessing data, Cleaning data, Data wrangling, MongoDB
84. Artificial IntelligenceIntermediate4 MonthsArtificial Intelligence, Probability, Bayesian Networks, Logic, and Planning, Machine learning
85. Artificial Intelligence for RoboticsAdvanced2 MonthsProbabilistic models, Kalman filters, Motion Planning, Robot Control, Simultaneous Localization and Mapping
86. Knowledge-Based AI: Cognitive SystemsAdvanced7 WeeksSemantic Networks, Common- Sense reasoning, Logic and Planning, Analogical Reasoning, Visuospatial Reasoning
87. Linear Algebra Refresher Course with PythonIntermediate4 MonthsAlgebra, Python, Vectors, Intersections
88. Introduction to Computer VisionIntermediate4 MonthsImage Processing, Stereo Geometry, Feature detection, and Matching, Object Tracking, Classification, and Recognition
89. Secure and Private AIAdvanced2 MonthsDifferential Privacy, Federated learning, Encrypted Computation
90. Intel® Edge AI Fundamentals with OpenVINO™Intermediate1 MonthEdge 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 2024. 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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All the Best!

Enjoy Learning!

Thank YOU!

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Anyone who stops learning is old, whether at twenty or eighty. Anyone who keeps learning stays young.

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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.

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