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기계 학습 및 인공 지능을 위한 90가지 최고의 무료 온라인 강좌

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기계 학습 및 인공 지능을 위한 90가지 최고의 무료 온라인 강좌 - 2024 기계 학습;

 

작성자: Aqsa Zafar / 2024년 6월 25일 

 

 

머신 러닝 및 인공 지능을 위한 최고의 무료 온라인 과정을 찾고 계신가요? 그렇다면 이 글이 분명 도움이 될 것이고 다양한 플랫폼에서 머신 러닝 및 인공 지능을 위한 90개의 최고의 무료 온라인 과정을 제공할 것입니다.

 

이 글을 나중에 참고할 수 있도록 북마크하는 것이 좋습니다. 이 글은 무료 AI 과정을 제공할 뿐만 아니라 머신 러닝 및 인공 지능을 위한 다양한 무료 과정을 검색하는 시간을 절약해 주기 때문입니다.

 

그럼 더 이상 미루지 말고 시작해 봅시다-

 

머신 러닝 및 인공 지능을 위한 90개의 최고의 무료 온라인 과정/ 최고의 무료 AI 과정

 

편의를 위해 머신 러닝을 위한 최고의 무료 온라인 과정에 대한 표를 만들어 필요에 따라 과정을 필터링할 수 있도록 했습니다. 

 

 

S/N Course Name Rating Provider Time to Complete Level
1. Machine Learning by Stanford University 4.9/5 Coursera 60 hours Beginner
2. Intro to Machine Learning using Microsoft Azure NA Udacity 1 Week Beginner
3. Machine Learning for All by University of London 4.7/5 Coursera 22 hours Beginner
4. Machine Learning by Georgia Tech NA Udacity 4 Months Intermediate
5. Intro to TensorFlow for Deep Learning NA Udacity 2 Months Intermediate
6. Introduction to TensorFlow Lite NA Udacity 2 Months Intermediate
7. Reinforcement Learning NA Udacity 4 Months Advanced
8. Intro to Artificial Intelligence NA Udacity 4 Months Intermediate
9. AI For Everyone by Andrew Ng 4.8/5 Coursera 6 hours Beginner
10. Introduction to Data Science using Python 4.4/5 Udemy 2hr 32min Beginner
11. Association Mining for Machine Learning 4.6/5 Udemy 1hr 48min Beginner
12. Deep Learning Prerequisites: The Numpy Stack in Python V2 4.6/5 Udemy 1hr 59min Intermediate
13. What is Machine Learning? 4.7/5 Udemy 1hr 57min Beginner
14. Python Crash Course for Data Science and Machine Learning 4.6/5 Udemy 1hr 39min Beginner
15. Data Science, Machine Learning, Data Analysis, Python & R 3.9/5 Udemy 8hr 7min Intermediate
16. Getting Started with Machine Learning 3.9/5 Udemy 40min Beginner
17. 50 Must-Know Concepts, Algorithms in Machine Learning 4.1/5 Udemy 54min  Beginner
18. WEKA – Data Mining with Open Source Machine Learning Tool 4.1/5 Udemy 3hr 30min Beginner
19. Artificial & Machine Learning for AnyBody, Everybody and All 4.0/5 Udemy 1hr 51min  Beginner
20. Deep Learning Specialization by Andrew Ng 4.8/5 Coursera 4 months  Intermediate
21. Machine Learning with Python 4.7/5 Coursera 22 hours Beginner
22. Free Machine Learning Course 4.5/5 fast.ai NA Beginner
23. Data Science: Machine Learning by HarvardX NA edX 8 Weeks Beginner
24. Machine Learning with Python: from Linear Models to Deep Learning NA edX 15 Weeks Advanced
25. Machine Learning Fundamentals NA edX 10 Weeks Advanced
26. PyTorch Basics for Machine Learning NA edX 5 Weeks Beginner
27. Advanced Machine Learning NA edX 5 Weeks Intermediate
28. Mathematics for Machine Learning Specialization 4.6/5 Coursera 4 Months Beginner
29. Machine Learning with Python: A Practical Introduction NA edX 5 Weeks Beginner
30. Machine Learning: Unsupervised Learning NA Udacity 1 Month Intermediate
31. Machine Learning for Trading NA Udacity 4 months Intermediate
32. Welcome to Artificial Intelligence 4.3/5 Udemy 49min Beginner
33. Artificial Intelligence Markup Language (AIML) 4.6/5 Udemy 3hr 42min  Beginner
34. Artificial Intelligence: Preparing Your Career for AI 4.4/5 Udemy 45min  Beginner
35. Artificial Intelligence and Machine Learning Made Simple 4.3/5 Udemy 44min Beginner
36. Kickstart Artificial Intelligence 4.2/5 Udemy 3hr 5min  Beginner
37. Artificial Intelligence In Bioinformatics 4.2/5 Udemy 1hr 41min Intermediate
38. Learn basics about A.I. (Artificial Intelligence) 4.1/5 Udemy 1hr 22min Beginner
39. Artificial Intelligence Stock Trading QuickStart Course 4.6/5 Udemy 2hr 20min  Beginner
40. Amazing AI: Music Editing with Deep Learning 4.6/5 Udemy 30min Beginner
41. Building a Facebook Chatbot in Chatfuel 4.4/5 Udemy 2hr 51min  Beginner
42. Basics of Deep Learning 4.4/5 Udemy 1hr 46min Intermediate
43. Deep Learning with PyTorch – Zero to GANs 4.1/5 Udemy 1hr 33min  Intermediate
44. Machine Learning Crash Course NA Google 15 hours Beginner
45. Learn with Google AI NA Google NA For All
46. Machine Learning by Columbia University NA edX 12 Weeks Advanced
47. Artificial Intelligence for Robotics NA Udacity  2 Months Advanced
48. Intro to Machine Learning NA Kaggle 3 hrs Beginner
49. Intermediate Machine Learning NA Kaggle 4 hrs Intermediate
50. Intro to Deep Learning NA Kaggle 4 hrs Advanced
51. Intro to Game AI and Reinforcement Learning NA Kaggle 4 hrs Intermediate
52. AI Foundations for Everyone Specialization 4.7/5 Coursera 3 months  Beginner
53. Intro to Deep Learning with PyTorch NA Udacity 2 Months  Intermediate
54. Machine Learning Interview Preparation NA Udacity 1 Week Intermediate
55. Machine Learning with Python by Great Learning NA YouTube 10 hours Beginner
56. Machine Learning Full Course by Edureka NA YouTube 10 hours Beginner
57. Machine Learning Course by Simplilearn NA YouTube 10 hours Beginner
58. Logistic Regression Practical Case Study 4.6/5 Udemy 1hr 4min  Intermediate
59. Learn Machine Learning 101 Class Bootcamp Course NYC 3.9/5 Udemy 1hr 23min Beginner
60. CatBoost vs XGBoost – Quick Intro and Modeling Basics 4.8/5 Udemy 50min Intermediate

 

이제 최고의 무료 인공 지능 (AI) 온라인 과정을 살펴 보겠습니다. 

 

최고의 무료 인공 지능 (AI) 온라인 코스 / 최고의 AI 온라인 무료 코스 

 

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 무료 AI 코스 

 

 

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

 

 

그래서, 이들은 5 가지 최고의 무료 기계 학습 과정 / 기계 학습 과정입니다.

 

기계 학습 및 인공 지능을위한 최고의 무료 온라인 과정에 대한 FAQ 

 

 

FAQ on Best Free Online Courses for Machine Learning & Artificial Intelligence

What is the best machine learning online course?

Machine Learning by Andrew Ng is the best machine learning online course. This course provides you with a broad introduction to machine learning, data mining, and statistical pattern recognition.

What is the best artificial intelligence online course?

Artificial Intelligence by Udacity is the best artificial intelligence online course. In this program, you will learn the essential foundations of AI. You will also learn programming tools like Python, NumPy, and PyTorch.

What is the best free machine learning course?

Intro to Machine Learning using Microsoft Azure by Udacity is the best free machine learning course. In this course, you will get a complete understanding of machine learning basics.

How to self-study Artificial Intelligence Free?

If you want to learn about AI without spending money, it’s easy. First, pick what you want to study in AI. Then, get good at math and use Python for coding because it’s free. Next, find free online classes and books to learn from. Do practice projects on a website called Kaggle. You can also use free tools and ask questions online to get help. Make sure to keep up with what’s new in AI. Lastly, meet people who know about AI to learn even more. Keep learning, and you can study AI without needing to spend a lot of money.

How to learn AI Tools for Free?

To learn AI without spending money, pick your favorite part, like making computers learn things, and learn Python for free. Explore free classes on sites like Coursera, use free online AI guides, and practice with free tools like TensorFlow and PyTorch. When you need help, chat with friendly folks online, and read easy AI articles and videos.

How to Learn AI for Free?

You can learn AI for free by using websites like Coursera and Khan Academy. Also, check out tutorials from places like TensorFlow and PyTorch. If you have questions, ask on places like Reddit or Stack Overflow. And be sure to use the courses I’ve listed in the blog.

Where Can I Learn AI for FREE?

You can learn AI for free on platforms like Coursera, and Khan Academy, and through resources from TensorFlow and PyTorch. Additionally, online communities like Reddit and Stack Overflow are helpful for getting support and don’t forget to explore free AI courses and tutorials on these platforms.

How to Learn AI from Scratch FREE?

Intro to Artificial Intelligence by Udacity is a good course to learn the basics of AI such as the application of artificial intelligence( Image processing, computer vision, robotics, and robot motion planning, Natural language processing, and information retrieval).

Can I Learn AI Online?

Yes, you can learn AI on the internet. Many websites and courses offer AI lessons. Some are free, like those from TensorFlow and PyTorch. You can also ask for help on websites like Stack Overflow. So, it’s easy for anyone with internet access to start learning AI.

Best Platform to Learn AI?

The best platform to learn AI varies depending on your needs. Coursera, edX, and Udacity are popular for structured courses. Fast.ai is great for practical learning, and TensorFlow and PyTorch offer free tutorials. Your choice depends on your goals and learning style.

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.

If you found this blog Best Free Online Courses for Machine Learning & Artificial Intelligence helpful, share it with others.

All the Best!

Enjoy Learning!

 

 

 

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'스무 살이든 여든 살이든 배움을 멈추는 사람은 늙는다. 계속 배우는 사람은 젊음을 유지한다. - 헨리 포드 

 

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더욱 좋은 정보를 제공하겠습니다.~ ^^