15 Best Free AI & Machine Learning Online School 2023 with Certificates 

15 Best Free AI & Machine Learning Online School 2024 with Certificates 

Best Free AI & Machine Learning Online School

Healthcare, finance, and technology are just a few of the sectors being transformed by the rapidly expanding science of Artificial intelligence and machine learning. 

Machine learning is a crucial skill for anyone interested in a career in data science or artificial intelligence due to its capacity to evaluate vast amounts of data and come to conclusions and judgments within a short period.

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This high request of people who are skilled in Machine Learning and AI has made the interest of people both skilled and unskilled analysts develop an interest in taking Machine learning and AI courses online for free to acquire certificates in Machine learning to better their chances among their counterparts.

Hence if you want to learn more about machine learning you have come to the right place as we have come up with some of the best schools in the world offering a wide variety of top-notch AI and Machine Learning courses online.

Top 15 Best AI and Machine Learning Online Schools with Certificates

There are indeed several reputable online platforms that offer AI and machine learning courses for free. It is also true that not all of them offer this free online program-issued certificate to their participants. As a result, we have selected the 15 best AI and Machine Learning online schools for free in 2023 with Certificates. 

These programs are appropriate for students of all skill levels and cover a variety of topics, from machine learning fundamentals to more sophisticated methods. 

Here is the list of 15 best AI and Machine Learning online schools for free in 2023 with Certificates and the courses offered.

  1. UC Berkeley
  2. Stanford University Online: 
  3. University of Pennsylvania 
  4. Udacity
  5. Coursera
  6. University of California, Davis 
  7. Carnegie Mellon University:
  8. Caltech
  9. Cornell University
  10. University of Toronto
  11. MIT
  12. Harvard University
  13. Google
  14. Intel
  15. John Hopkins University

1. UC Berkeley

Course: Introduction to Machine Learning.

The first School on our list of best AI and Machine Learning online schools for free 2023 with CertificatesIntroduction to Machine Learning is UC Berkeley’s introduction to machine learning.

For novices, in particular, this course is a fantastic introduction to the field of machine learning. For each machine learning problem, the most significant machine learning algorithms are covered which include:

1.  Classification: 

Support vector machines (SVMs), logistic regression, decision trees, neural networks, convolutional neural networks, boosting, and K closest neighbour are all examples of classification techniques. 

2. Clustering: 

Spectral graph clustering, hierarchical clustering, and k-means clustering.

3. Regression: 

Lasso, logistic regression, polynomial regression, least-squares linear regression, and ridge regression.

Pros

  • It is a Prestigious institution, 
  • It offers a comprehensive curriculum, 
  • You have access to expert instructors, 
  • There is room for flexibility as you desire your paste.

Cons

  • There is a lack of face-to-face interaction, 
  • self-discipline and motivation are needed to complete the course on time.

2. Stanford University Online

Course: Machine Learning and Introduction to Artificial Intelligence

Stanford University is the next on our list of best AI and Machine Learning online schools for free 2023 with Certificates.

Standford University offers free online courses through their Stanford Online platform and they have a few AI and machine learning courses available, such as “Machine Learning” and “Introduction to Artificial Intelligence.” 

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Stanford’s renowned Andrew NG’s Machine Learning course provides both theoretical and practical machine learning techniques in this course. Not only will you comprehend the most crucial machine learning algorithms, but you will also discover how to create and use them from scratch. 

Finally, you will discover some of the top innovations in machine learning and AI from the industry.

While these courses do not provide official Stanford certificates, it issues online certificates on the course of study and you can still gain valuable knowledge and skills in addition to the certificate.

Pros

  • it offers a comprehensive curriculum, 
  • You meet with expert instructors, 
  • Easy networking opportunities.

Cons

  • There high need for technical requirements, 
  • lack of face-to-face interaction.

3. University of Pennsylvania 

Course: Intermediate Robotics Specialized

The next on our list of best AI and Machine Learning online schools for free in 2023 with Certificates is the University of Pennsylvania.

This University’s intermediate robotics specialized course is free. You will discover how pictures and films taken by cameras installed on robots are changed into other representations, such as optical flow.

You can derive 3D information about the location of the camera or the robot’s motion direction from the 2D representations.

This course will also give you in-depth information on filming and visual conversations from a robotic optical.

Pros

  • It offers a Specialized focus on intermediate robotics, 
  • There is the availability of expert instruction, 
  • There is a hands-on learning experience.

Cons

  • It requires more time commitment, 
  • lack of face-to-face interaction, 
  • limited availability depending on the course schedule.

4. Udacity 

Course: Introduction to Artificial Intelligence

Udacity is next on our list of best AI and Machine Learning online schools for free in 2023 with Certificates.

Udacity offers a variety of courses, nano degree programs, and certifications in AI and machine learning. While most of their programs require payment, they also have free courses available. You can access the course content for free and receive a certificate of completion.

One of the important courses offered is “Intro to Artificial Intelligence”. This course provides an introduction to the basics of AI and covers topics such as search algorithms, knowledge representation, and machine learning.

Pros

  • An accessible introduction to AI concepts.
  • Self-paced learning.
  • Practical projects to apply AI techniques.
  • 5. Certificate of completion available.

Cons

  • Limited depth on advanced AI topics.
  • Self-motivation is required for self-paced learning.
  • 3. Limited instructor interaction.
  • 4. Limited certificate value compared to formal university programs.

5. Coursera

Course: Machine Learning

Coursera is a popular online learning platform that offers a wide range of AI and machine learning courses. While most courses are paid, Coursera also provides financial aid options for those who cannot afford the fees. 

You can apply for financial aid and, if approved, gain access to the course materials for free and receive a certificate upon completion.

Pros

  • Easy Access to a variety of courses, 
  • Access to quality content, 
  • There is potential for certificates. 

Cons

  • Limited access to certain features, 
  • self-paced learning requires self-discipline, 
  • There is limited instructor interaction.

6. University of California, Davis 

Course: Big Data, Artificial Intelligence, and Ethics

The University of California is next on our list of best AI and Machine Learning online schools for free in 2023 with Certificates.

The University of California offers a free online course on Big Data, Artificial Intelligence, and Ethics. This course focuses on the intersection of these three fields and explores the ethical implications and challenges associated with the use of big data and AI technologies.

Participants in the course will gain an understanding of the ethical considerations and responsibilities related to collecting, analyzing, and utilizing large datasets. They will examine case studies, real-world examples, and ethical frameworks to analyze the social and ethical impact of AI and big data.

The course covers topics such as privacy, bias, fairness, transparency, accountability, and algorithmic decision-making. Participants will learn about the ethical implications of AI and big data in various domains, including healthcare, finance, and law enforcement.

By the end of the course, participants will have a deeper understanding of the ethical challenges and opportunities presented by big data and AI. They will be equipped with knowledge and tools to critically evaluate and make ethical decisions when working with these technologies.

This free online course from the University of California provides a valuable opportunity to explore the ethical dimensions of big data and AI, enabling participants to develop a thoughtful and responsible approach to these rapidly evolving fields.

Pros

  • Accessible and free online course.
  • Focus on the important intersection of big data, AI, and ethics.
  • Provides knowledge and tools for ethical decision-making.

Cons

  • Limited depth due to the course’s free nature.
  • Lack of interactive elements or direct instructor interaction.

7. Carnegie Mellon University

Course: Introduction to Machine Learning

The next on our list of best AI and Machine Learning online schools for free in 2023 with Certificates is Carnegie Mellon University which offers the free online course ” Introduction to Machine Learning”

More machine learning algorithms are covered in this course, both theoretically and practically, most significant machine learning algorithms are covered which include reinforcement learning, deep learning, decision tree learning, Bayesian networks, statistical learning techniques, and unsupervised learning algorithms. 

The goal of this course is to provide you with a solid foundation in the methodology, technologies, mathematics, and algorithms that are currently required of those who conduct machine learning research or work in the field.

Pros

  • It offers a comprehensive introduction to machine learning.
  • Availability of a well-structured curriculum.
  • There is an accessible online format to make learning easy.

Cons

  • There is limited depth compared to advanced courses.
  • Lack of direct instructor interaction.
  • Potential lack of advanced topics.

8. Caltech

Course: Machine Learning & Data Mining

The next course is the Caltech course called Machine Learning & Data Mining. The most well-known machine learning and data mining techniques are covered in this course, although the emphasis is more on gaining a thorough understanding of how to use these techniques practically. Additionally, it discusses some current advances in research, such as deep generative models.

This course tackles issues like what is learning and whether or not a machine can learn and how in an engaging, story-like manner. Additionally, it strikes a balance between theory and practice while also covering the crucial mathematical underpinnings of machine learning.

Pros

  • An accessible introduction to AI concepts.
  • Certificate of completion available
  • There is Self-paced learning for the applicant
  • Practical projects to apply AI techniques.
  • There is a well-structured curriculum

Cons

  • Limited depth on advanced AI topics.
  • Self-motivation is required for self-paced learning.
  • There is limited instructor interaction since it is online.
  • The certificate issued has limited value compared to formal university programs.

9. Cornell University

Course: Machine Learning for Intelligent Systems

The next school on this list of best AI and Machine Learning online schools for free in 2023 is Cornell University with the courses Machine Learning for Intelligent Systems. 

This course will provide you with a thorough introduction to machine learning and expose you to the key machine learning principles and algorithms to get you started on your machine learning journey.

Pros

  • The course gives access to sound education on Machine Learning. 
  • The certificate of completion issued by the end of the course is valuable since the school has a good reputation, 

Cons

  • There is limited interaction between student and instructor, 
  • There is also restricted access to available resources, 
  • self-discipline requirements and potential variations in depth and rigour are needed across the course period.

10. University of Toronto

Course: Large-Scale Machine Learning

The next on our list of best AI and Machine Learning online schools for free in 2023 is the University of Toronto. The school offers a free online course in Large Scale Machine Learning.

This is a more difficult course that is intended for graduate students with a respectable level of mathematical maturity. 

The course begins with fundamental machine-learning techniques like linear methods for classification and regression before delving deeper into statistical machine-learning techniques like Bayesian networks, Markov random fields, and more sophisticated techniques.

Pros

  • The University of Toronto is a reputable institution that might add value to the certificate, 
  • There is a comprehensive curriculum, 
  • Students of this online course have access to expert instruction and practical applications.

Cons

  • Being an online course there is limited interaction Communication between students and instructors, 
  • It requires discipline and determination for students to stay focused since it is self-paced learning, 
  • There are potential limitations to in-depth or advanced topics.

11. MIT

Course: Algorithmic Aspects of Machine Learning

The next on our list of best AI and Machine Learning online schools for free in 2023 is the Massachusetts Institute of Technology (MIT).

The Algorithmic Aspects of Machine Learning, offered by MIT, is a course that revolves around machine learning-related algorithmic problems. It is disputed whether and why modern machine learning systems function, but they are always built on top of algorithms without verifiable guarantees. 

The emphasis in this course will be on developing algorithms whose performance for basic machine-learning issues can be thoroughly examined.

Pros

  • MIT is a renowned institution making its certificate to be of great value, 
  • The school offers a comprehensive curriculum, 
  • Students receive expert instruction and practical applications. 

Cons

  • There is limited interaction between student-to-student and student-to-instructor, 
  • There is also a chance that some topics might not be given in-depth coverage. 
  • Please note that specific course details may vary.

12. Harvard University

Course: Introduction to Artificial Intelligence with Python

Harvard University online course on Introduction to Artificial Intelligence with Python is next on our list of best AI and Machine Learning online schools for free in 2023 with a certificate.

At Harvard University, specifically in its online course students gain exposure to the theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning. 

This course, Introduction to Artificial Intelligence with Python explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation.

Pros

  • There is access to expert instruction, 
  • The school offers a comprehensive curriculum for there online program, 
  • It offers potential networking opportunities.

Cons

  • There is limited interaction, 
  • Students may not have good interaction with co-students
  • There might not be an in-depth topic covered.

13. Google

Course: Machine learning crash course with TensorFlow APIs

The “Machine Learning Crash Course” by Google is a comprehensive introduction to machine learning concepts and techniques using TensorFlow APIs and it is next on our list of the best AI and Machine Learning online schools for free 2023 with certificates. 

TensorFlow is an open-source machine learning framework developed by Google. 

This crash course provides a hands-on approach to understanding and implementing machine learning models. It covers fundamental topics such as linear regression, logistic regression, neural networks, and deep learning. It also explores more advanced concepts like convolutional neural networks (CNNs) and recurrent neural networks (RNNs).

The course is designed to be accessible to beginners, with interactive exercises and code examples that demonstrate the concepts. It covers key concepts such as feature engineering, model evaluation, and regularization techniques.

Throughout the course, participants gain practical experience by building and training models using TensorFlow APIs. TensorFlow provides a high-level interface that simplifies the process of building and deploying machine learning models. It offers a variety of pre-built functions and tools for tasks such as data preprocessing, model training, and model evaluation.

By the end of the crash course, participants will have a solid understanding of machine learning principles and be able to apply TensorFlow APIs to solve real-world problems. It is a valuable resource for anyone looking to get started with machine learning and TensorFlow.

Pros

  • Students enjoy practical hands-on exercises, 
  • a comprehensive curriculum, and accessibility. 

Cons

  • It is a self-paced learning program that might dual longer than necessary if the student is not determined 
  • There is limited interaction and potential variations in in-depth teaching compared to more extensive courses.

14. Intel

Course: Introduction to AI

The next on our list of best AI and Machine Learning online schools for free in 2023 with a certificate is Introduction to AI a free online course offered by intel

“Introduction to AI” by Intel is an educational resource that aims to provide a foundational understanding of artificial intelligence (AI) concepts and applications. This course also covers the fundamental aspects of AI and its relevance in various industries.

The course begins by introducing the basics of AI, including the definition of AI, its history, and the different types of AI. It then delves into key concepts such as machine learning, deep learning, and neural networks. Participants will learn about common AI algorithms, data preprocessing techniques, and model evaluation methods.

Furthermore, the course explores practical applications of AI in areas such as computer vision, natural language processing (NLP), and robotics. Participants will gain insights into how AI is transforming industries like healthcare, finance, and transportation.

By completing this course, participants will have a solid foundation in AI concepts and be equipped with the knowledge to pursue further studies or practical implementations in the field of AI.

Pros

  • The course is freely available online, allowing anyone with an internet connection to learn about AI.
  • Being offered by Intel, a reputable technology company, the course carries credibility and industry insights.
  • It provides a solid introduction to AI, covering fundamental concepts and techniques.

Cons

  • The course may not cover advanced or specialized topics in AI, making it less suitable for those seeking in-depth knowledge.
  • The course may prioritize Intel technologies and solutions, potentially limiting exposure to a broader range of AI tools and platforms.
  • As an online course, it may lack interactive elements such as hands-on exercises or live instructor interaction, limiting practical learning experiences.

15. John Hopkins University

Course: Practical Machine Learning

The “Online Practical Machine Learning” course offered by Johns Hopkins University is an online learning program that focuses on providing participants with practical knowledge and skills in the field of machine learning and it is next on our list of best AI and Machine Learning online schools for free 2023 with certificates. 

The course is designed to equip learners with the necessary tools and techniques to apply machine learning algorithms effectively to real-world datasets.

The course covers various topics related to practical machine learning, including data preprocessing, feature engineering, model selection, and evaluation. Participants will learn how to clean and preprocess data, handle missing values, perform feature extraction and selection, and transform data for optimal model performance.

By the end of the course, participants will have gained practical experience in the entire machine-learning pipeline, from data preprocessing to model evaluation. They will be equipped with the skills to approach real-world machine-learning problems, select appropriate algorithms, and build effective models.

The “Online Practical Machine Learning” course by Johns Hopkins University is suitable for individuals with a basic understanding of statistics and programming who are interested in applying machine learning techniques in practical scenarios.

Pros

  • The course is offered by Johns Hopkins University, known for its excellence in education and research.
  • It focuses on practical aspects of machine learning, providing hands-on experience and real-world applications.
  • The course covers various machine learning algorithms, evaluation techniques, and data preprocessing, offering a well-rounded learning experience.

Cons

  • The course may not be suitable for beginners without prior knowledge of machine learning concepts.
  • Being a comprehensive course, it may require a significant time commitment to complete all the modules and assignments.
  • As an online course, there may be limited opportunities for direct interaction with instructors and peers for discussions and clarifications.

Conclusion

The field of machine learning is really interesting. Even more astounding is how quickly ML is influencing several industries, leading to breakthroughs and new job roles. Not to that, ML profiles guarantee rapid job advancement and compensation that is above average. As a result, people from various backgrounds, including students and professionals, are eagerly pursuing careers in machine learning, AI, and data science.

Stanford University’s Artificial Intelligence Laboratory has significantly advanced free online Machine Learning and Introduction to Artificial Intelligence courses and issues certificates to its students after their course.

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