기계 학습 및 인공 지능을위한 최고의 무료 온라인 코스를 찾고 계십니까? 그렇다면이 기사는 확실히 도움이 될 것이며 다양한 플랫폼에서 제공하는 기계 학습 및 인공 지능을위한 90 개의 최고의 무료 온라인 과정을 제공합니다.
나중에 참조 할 수 있도록이 기사를 북마크에 추가하는 것이 좋습니다. 이 기사는 무료 AI 과정을 제공 할뿐만 아니라 기계 학습 및 인공 지능을위한 다양한 무료 과정을 검색하는 시간을 절약 할 수 있기 때문입니다.
따라서 더 이상 고민하지 않고 시작하겠습니다.
기계 학습 및 인공 지능을위한 90 가지 최고의 무료 온라인 과정 / 최고의 무료 AI 과정
귀하의 편의를 위해 필요에 따라 과정을 필터링 할 수 있도록 기계 학습을위한 최고의 무료 온라인 과정 표를 만들었습니다.
S/NCourse NameRatingProviderTime to CompleteLevel
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/NCourse NameSkill- LevelDurationTopics 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
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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Thank YOU!Learn Machine Learning A to Z Basics
Though of the Day…
‘ Anyone who stops learning is old, whether at twenty or eighty. Anyone who keeps learning stays young.
– Henry Ford
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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더욱 좋은 정보를 제공하겠습니다.~ ^^
