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30 Best and Free Online Artificial Intelligence Courses of 2020

Artificial Intelligence Courses

Students with so many Artificial Intelligence courses find it extremely difficult to meet their needs. Learners often ask if there is an Artificial Intelligence course for each case. The response is YES. Below are popular courses available. Registering for the right course is an important factor in your career progression. In this article, the best Artificial Intelligence courses were selected by experts in 2020.

The main aim is to illustrate the best known courses in every category.

Select one that best suits your needs, based on your preference.

However, let’s look at the best Artificial Intelligence courses on the market.

Content Insight

1. Machine Learning AI Certification by Stanford University (Coursera)

Duration: 55 hours

Rating: 4.9 out of 5

If machine learning is in your view, you need not look any further. Designed by Andrew Ng, a professor at Stanford University, this curriculum has more than 2,612,800 students and professionals worldwide who have highly regarded it. This course introduces to the main topics such as supervised learning, unsupervised learning, vector support machines, kernel networks and neural networks. Take advantage of various case studies and applications and implement theoretical concepts to practice. You will be certain that you apply your knowledge to real-life scenarios by the end of the classes.

Key Highlights:

  • Gain the instructor’s best practices and guidance.
  • Understanding, among other relevant subjects, parametric and non- parametric algorithms, clustering, dimension reduction.
  • Real-world case studies help us understand how everyday problems are solved.
  • Connect with your classmates from all levels of experience in a group of like-minded students.
  • Learn to use smart robots learning algorithms, text, audio, database removal.
  • You will learn at your convenience by the flexible deadline.

You can Sign up Here

2. Artificial Intelligence (Northwestern | Kellog School of Management)

Duration: 2 months, 4 to 6 hours per week

Rating: 4.5 out of 5

This course is tailored for people who want to know about artificial intelligence approaches and methods to solve business problems. Once the main topics are covered, you will explore the effect of AI on different industries as well as the various methods involved in creating efficient solutions. At the end of the program, you will have several methods to boost the organisation’s output.

Key Highlights:

  • Several case studies to help you develop a deeper understanding of the real world problems.
  • Learn to handle consumer expectations and thus build AI models.
  • Complete your tests and get your success feedback.
  • Get responses from a dedicated support team to your questions.
  • At least 80 percent take the test to obtain the certification.
  • Work with data based on real life.

You can Sign up Here

3. Artificial Intelligence: Business Strategies and Applications (Berkeley ExecEd)

Duration: 2 months, 4-6 hours/week

Rating: 4.6 out of 5

This course is tailored for senior executives , managers and functional heads who want to explore AI opportunities in their work. This programme ‘s strengths and potential will introduce you to basic AI applications and provide in-depth knowledge about automation , machine learning and robotics. It consists of 8 different modules that focus on different concepts, such as machine learning, AI strategy, key applications, neural networks and so on. By the end of the programme, you will be given a capstone project to show you what you have learned so far. Completing the capstone project will require you to obtain the completion certificate.

Key Highlights:

  • Learn how successful AI application projects are organized and managed while preventing falls associated with these emerging innovations
  • Built in a practical way that helps you build a bridge with business applications between engineering and functional aspects of AI.
  • Build your reputation in leadership by receiving UC Berkeley Executive Education certificates
  • The world-class faculty is constantly assisting and helping you understand the main concepts
  • Take advantage of the strategic aspects of AI to interact efficiently with technical teams and colleagues

You can Sign up Here

4. IBM AI Engineering Professional Certificate (Coursera)

Duration: 3 months

Rating: 4.7 out of 5

If you want to be a part of artificial intelligence, a quick moving area, this certification program will open the right way for you. This curriculum contains six separate modules, which offer you practical insight into machine learning and fundamental learning concepts. Throughout this course, you learn the basic concepts of ML and profound learning, with supervised and unsupervised learning. This course is developed by an accomplished IBM faculty that allows individuals to cover all important artificial intelligence topics. You can only earn a professional certificate in AI Technology after completing all six courses.

Key Highlights:

  • Dive into the different concepts of Python’s approachable and competent programming language
  • Learn when to use common Machine Learning libraries such as SciPy, ScikitLearn, PyTorch, etc.
  • Find out how TensorFlow is implemented in the industry to text analysis, object recognition, natural language processing, and other classifier types.
  • To build, train and deploy various deep architecture types and convolutionary networks, recurring networks and auto-encoders
  • Get skills in calculating data science and machine learning tasks using Apache Spark for massive data sets

You can Sign up Here

5. AI For Everyone by Andrew Ng (Coursera)

Duration: 4 weeks, 2 to 3 hours per week

Rating: 4.9 out of 5

Artificial intelligence plays an important role one of the most complex subjects of computing, but its application can not be overstated in our daily life. And if you really want the business to use this technology better, it is worth a look at this program. In the lessons, you can find out what simple and essential terminologies mean, what AI can and can not do, how AI solutions can be applied to your organization and more. You should learn the business aspects of AI and use them correctly in relevant circumstances by the end of the lectures. The course was designed by Andrew Ng, the artificial intelligence pioneer and Coursera’s creator.

Key Highlights:

  • Navigate ethical and societal discussions on the subject.
  • Understand how machine learning and data science projects are developed.
  • Work with the company’s artificial intelligence team and develop a plan.
  • Class deadlines can be changed according to your convenience.
  • The lessons do not require any prerequisites, and someone with any level of experience can take them.

You can Sign up Here 

6. Deep Learning by Andrew Ng (Coursera)

Duration: 3 months, 11 hours per week

Rating : 4.7 out of 5

If you’d like to build a career in AI, you will be benefited by this specialization. For this 5 course set, you can explore the basic concepts of deep learning, learn how to create neural networks and undertake successful ML projects. In addition, case studies from different real-world industries can be created. The practical tasks allow you to learn the concepts in Python and Tensorflow. In addition, conversations with top executives in the industry will provide you with inspiration and allow you to appreciate the situations in this area of work.

Key Highlights:

  • Get to know about convolutionary networks, RNNs, BatchNorm, dropouts, etc.
  • The classes will help you understand various methods by which you can create models to solve problems in real life.
  • Complete all assessments and tasks according to your schedule to receive the certificate of specialisation.
  • Get industry experts and executives to provide best practices and guidance.

You can Sign up Here

7. Introduction to Artificial Intelligence by IBM (Coursera)

Duration: 4 weeks, 1-2 hours/week

Rating: 4.7 out of 5

The introductory course offered by IBM will take you to the basic concepts of artificial intelligence. You will discover what AI is and its use in the software or application development industry. In the class you will become exposure to diverse questions and issues related to artificial intelligence such as ethics, prejudice and jobs. During the course, you can also show AI in practice with a mini-project to test your AI skills. You will also earn your certificate of completion from Udacity after the project is finished.

Key Highlights:

  • No previous programming or IT awareness needed to participate in this course
  • Learning and understanding AI principles and useful words such as machine learning, deep learning and neural networking
  • Be qualified after completion of this course for other classes and courses such as AI Foundations, IBM Applied AI professional certificate
  • 100% flexible course without any deadlines and ability to learn at your own pace
  • Get professional advice on learning better artificial intelligence and on how to begin a career in this area

You can Sign up Here

8. Artificial Intelligence Certification by Columbia University (edX)

Duration: 12 weeks per course, 8 to 10 hours per week, per course

Rating: 4.5 out of 5

Enroll for this qualification to gain experience in a variety of lectures and seminars in one of the fastest growing areas of computer science. The courses will allow you to develop a good understanding of artificial intelligence guiding principles. This lectures, with equal focus on theory and experience, will help you to solve real-world problems and build effective AI solutions. With this certificate in your pocket, you will be sure to have an upper hand in work interviews and other incentives.

Key Highlights:

  • Apply machine learning principles to problems and applications in real life.
  • The videos direct you through certain basic concepts from basic to advanced topics.
  • Research on developing and harnessing the neural network capabilities.
  • Thorough guidelines for configuring and navigating the required software are provided.
  • In these lectures, apply the knowledge gained in a range of fields such as robotics, vision and physical simulations.
  • The classes and related examples and presentations are divided into 4 sections.

You can Sign up Here

9. TensorFlow for Artificial Intelligence by deeplearning.ai (Coursera)

Duration: 4 weeks, 4 to 5 hours per week

Rating: 4.6 out of 5

If you are a software developer or have prior coding experience and look forward to building on these skills, then you can look forward to the certification. These courses show you the methods used by TensorFlow for the implementation of fundamental concepts of machine learning and deep learning and for building models for solving real-world problems. By the completion of this course, you will have the technical skills to identify and apply the correct work descriptions to realistic solutions for these problems.

Key Highlights:

  • The professor provides you with explanations to work with the fundamental apps.
  • Someone who has prior experience with Python should take this tutorial.
  • The training involves tips and strategies and tests.
  • Build and train a simple neural network for a computer vision application.
  • Understand how to develop the neural network by using convolutions.

You can Sign up Here 

10. Microsoft Professional Certification in Artificial Intelligence (edX)

Duration: 9 courses + Final Project, 8 to 16 hours per course

Rating: 4.6 out of 5

This course is designed to help you gain the skills required to build deep learning models for AI. Although you are able to take the tutorials in any sequence it is advisable to follow the suggested format so that you can use advanced concepts to improve your knowledge. You can select from four options for the ninth course after completing the first 8 compulsory courses before you start the Capstone project.

Key Highlights:

  • Understanding of AI ethical principles.
  • Learn how to use Python for data work.
  • Build and incorporate advanced artificial intelligence solutions.
  • Develop machine learning and improving models of learning.
  • The final project provides you the ability to incorporate the subjects discussed in the lectures and to construct optimal solutions.
  • The curriculum is divided into 9 courses with strategies, techniques and evaluations.

You can Sign up Here 

11. Artificial Intelligence Courses (Udemy)

Duration: Self-paced

Rating: 4.7 out of 5

Udemy is the best resource for you if you want to access all the appropriate and perfect artificial intelligence courses. This offers a list of several AI courses, aimed at improving your skills and making you an expert in this area.These courses include Artificial A-Z Intelligence: Learning to Build AI, Deep Learning and Computer Vision A-Z, Artificial Intelligence: Reinforcement Learning in Python and Advanced AI: Learning in Python. Those courses can provide you not only with basic AI principles but also with important facets and strategies of artificial intelligence. However, these courses are all available with a 30-day trial, so that you can thoroughly review each session and pick the course you want.

Key Highlights:

  • Developed and tested by AI professional instructors who will support you at any level of learning.
  • A wide selection of AI courses to choose from, each built to provide a comprehensive knowledge of the basics and advanced concepts.
  • Learn skills such as Python, machine learning, deep learning, neural networks, TensorFlow, and many more.
  • Have many video tutorials, notes, questionnaires and tests to review your skills and check your knowledge on the subject.

You can Sign up Here

12. Free Artificial Intelligence Courses (edX)

Duration: Self-paced

Rating: 4.5 out of 5

With free artificial intelligent courses, edX offers free online courses and tutorials based entirely on AI, machine learning, and robotics. These courses are all planned and developed by top institutions such as Harvard, Columbia, Microsoft and others worldwide. From computer vision and image analysis to robotics: kinematics and mathematical foundations, any subject you wish to learn can be chosen. And if you pay a small fee after finishing the program, you can also receive your completion certificate in a specific course.

Key Highlights:

  • Informational, mathematics, psychology, analysis of natural languages, neuroscience, computer science and many other disciplines.
  • A selection of courses focused on your interests and needs that help you master key concepts.
  • Learn the basics of AI, machine learning, robotics and how to make them useful.
  • Take advice and assistance from instructors of leading institutions who support you every step of learning.
  • Learn how to change robotic arms, represent 2D and 3D relations, and explore unsupervised learning techniques.

You can Sign up Here

13. Professional Certificate in AI and ML (MIT Professional Edu.)

Duration: Self-paced

Rating: 4.5 out of 5

If you are looking for a reliable and trustworthy learning platform for artificial intelligence, this MIT Technical Edu program is the best option for you. The curriculum allows you to learn from the seasoned professors of the MIT University and leading experts in the industry. With this program you will learn basic concepts and competences required for the production of efficient AI systems as well as tackle the challenges raised by AI in the workplace. It consists of four separate short programs that will offer you a professional certificate.

Key Highlights:

  • Direct you through the most recent technical developments and approaches to AI technology such as natural language processing, deep learning and predictive analysis.
  • Consider how new, industry-specific expertise is implemented in machine learning and artificial intelligence.
  • Learn about algorithmic approaches that help you develop your artificial intelligence knowledge and skills.
  • Get updates on faculty work, new programs and MIT initiatives through a regular newsletter.
  • Get a 15% discount on your potential MIT Professional Edu short programs and Digital Plus courses.

You can Sign up Here

14. Artificial Intelligence Graduate Certificate (Stanford Online)

Duration: 1-2 years

Rating: 4.5 out of 5

Stanford School of Engineering offers outstanding AI, ML, etc. classes, which also concentrate on artificial intelligence. The participation in this program will give you the foundation and advanced skills in artificial intelligence concepts and technologies. You can learn about logic, probabilistic models, representation of knowledge and machine learning. The lecturer, Andrew Ng, is one of Stanford ‘s greatest professors who leads the development in artificial intelligence. He will enable you in every class to answer your questions and make the topics easier for you. After you have completed this graduate program for other projects, you will obtain your completion certificate.

Key Highlights:

  • Direct you to a range of subjects covered or related to AI, such as machine learning, deep learning, etc.
  • One of Stanford School of Engineering ‘s best courses to offer an excellent knowledge of AI core concepts.
  • Learn in-depth subjects with courses available in various fields including robotics, natural language processing and vision.
  • Test your own pace without any time limits.
  • Get advice and encouragement from qualified teachers who have long taught artificial intelligence.

You can Sign up Here

15. Artificial Intelligence A-Z: Learn How To Build An AI (Udemy)

Duration: 16 hours

Rating: 4.4 out of 5

This extensive course is planned to teach you AI from base principles. The good thing is that this program does not require any previous experience, so that everyone can use it regardless of their level of expertise. Begin by learning how to code AI for a variety of purposes through the use of downloadable application templates. Learn the strategies to build successful solutions and understand the “why” of each step and the “how.” You should be able to refine your AI system to achieve its maximum potential by the end of your certification.

Key Highlighs:

  • Deep convolutionary Q-learning, Artificial Intelligence Theory and many more are the topics covered.
  • Since this is an early stage course, this course is also suitable for students with little to no practical programming experience.
  • Regular teachers support and explanation of doubts.
  • Develop and automate a virtual self-driving vehicle.
  • Full instructions for all necessary configurations and installations.
  • 113 lessons + 14 articles + full life access

You can Sign up Here

16. Learn AI from ML experts at Google (Google)

Duration: Self-paced

Rating: 4.5 out of 5

It is a reality that AI and ML are the largest rising field in the world today, but they may be intimidating beginners. This platform provides you with relevant information and workouts to help you develop your skills and advance your projects, regardless of whether you are an advanced or seasoned ML practitioner. If you do not know where to start then you start with your current level of experience, the type of content you are searching for and the stage of ML growth and the website will recommend you the information you need.

Key Highlights:

  • A lot of possibilities to use the skills of the lectures and tools and real-world datasets.
  • Well-designed material and all topics are carefully protected.
  • The material provides you with explanations to focus on the basic techniques.
  • The courses include tips and strategies and assessments.
  • Explore the set of tools and the featured resources of the project.

You can Sign up Here

17. IBM Data Science Professional Certificate (Coursera)

Duration: 2 months, 12 hours per week

Rating: 4.6 out of 5

This certification includes a series of 9 courses which enable you to develop the skills needed to pursue a career in data science or machine education. The lectures cover a number of subjects, including data analysis, analytics, databases, classification as well as databases and open source tools. In addition, the lessons discuss how algorithms and models can be used in real life scenarios. When the curriculum is complete, you should have a portfolio which can be displayed to pursue an exciting career.

Key Highlights:

  • Understand the usefulness of each resource and use it to teach practical lessons.
  • In recognition of your skill, earn a professional certificate as well as an IBM digital badge.
  • Uncover the perspectives and patterns since ancient times.
  • Anyone who wishes to gain skills and experience in this area will be able to enroll in this class.
  • Shape a particular business or research issue, data collection and analysis, modeling and understanding the feedback after model implementation.

You can Sign up Here

18. Advanced AI Tutorial: Deep Reinforcement Learning in Python (Udemy)

Duration: 7 hours

Rating: 4.7 out of 5

This is your extensive master’s introduction to the use of deep learning and neural networks. In this Artificial Intelligence Courses you will gain knowledge how to build various deep learning agents, use advanced reinforcement algorithms to solve a variety of issues, understand RBF network reinforcement, and use Deep Q-Learning Convolutionary neural networks. If you know simple enhancement programming, MDPs, Dynamic Programming and/or TD Programming, you are perfect to sign up.

Key Highlights:

  • Course periodically revised to ensure participants receive the best information on the subject
  • To date, more than 10,000 students have taken up this curriculum and seem profoundly comfortable with the teachings.
  • The instructor is well known and liked for his methods of teaching

You can Sign up Here

19. Become an AI Product Manager Nanodegree Certification (Udacity)

Duration: 2 months, 5-10 hours/week

Rating: 4.6 out of 5

If you want to know how AI could be used to become a product manager, then this Udacity nano graduation program is for you. First, you are introduced to AI in businesses, create a dataset, create a plan, and then develop an AI product manager. Aside from the course material, you will also have access to a professional tutor, who will help you to learn and understand topics more effectively at every point of the course. After you finish the course and finish the projects involved, you will also receive a nano degree certification.

Key Highlights:

  • Learn how to build a high-quality data set and how it works in a particular situation.
  • Learn from a team of specialist teachers who have developed this course to take account of end-user needs
  • Develop a basic knowledge of computer education and artificial intelligence and learn how to build an AI technology business case.
  • Avail resume services, profile analysis of LinkedIn, analysis of GitHub and levels of training for interviews
  • A flexible learning scheme that allows you to learn at your own speed without time limits

You can Sign up Here

20. Artificial Intelligence Course: Reinforcement Learning in Python (Udemy)

Duration: 12.5 Hours

Rating : 4.6 out of 5

The instructor is a Data Scientist, Big Data Engineer and a full stack software developer.  He is the right person to teach you AI using Python with his master’s in computer engineering and his expertise in machine learning. You must learn to apply gradient-based supervised methods for strengthening learning, understand the relationship between strengthening learning and psychology and understand technical reinforcement. To take this course, you would need to have experience with few supervised machine learing methods and good object-oriented programming skills.

Key Highlights:

  • Countless students’ 5-star scores
  • The course is frequently updated to give you the latest details on the subject
  • Contains 8 hours of on-demand streaming for a lifetime online

You can Sign up Here

21. Python for Everybody by University of Michigan (Coursera)

Duration: 4 months, 11 hours per week

Rating: 4.8 out of 5

Over the decades, Python is becoming a language that could be used in the many fields of artificial intelligence like deep learning, machine learning, reinforcement learning and more to implement various ideas. The training will introduce you to the core programming principles, which include data structures, networked application program interfaces and Python databases. After all the core concepts have been completed, you will get the chance to work on a final project and to apply the skills you have learned during the lectures.

Key Highlights:

  • Apply the teaching principles by developing your first Python program and working with different methods.
  • So this course is ideal for learners with little to no basic programming experience because it is a beginner level course.
  • The curriculum is made up of a series of 5 courses with growing difficulty levels.
  • The lectures are built in a fun and engaging way that makes them appealing and can be used to solve complex challenges.
  • Know the basics of SQL and the architecture of databases.
  • Build Data Recovery and Retrieval applications.

You can Sign up Here 

22. Artificial Intelligence Nanodegrees (Udacity)

Duration: Self-paced

Rating: 4.8 out of 5

Artificial Intelligence is now one of the fastest-growing and most transformative innovations of this era and in the coming future, there will be many possibilities for individuals. Therefore, if you are willing to do an AI career, Udacity provides an AI program school that will direct you to various Artificial Intelligence and Machine Learning topics, such as introduction to AI goods, annotation data sets, ML training models, introduction to Machine Learning, deep learning, and much more. A lot of Nano degree programs are included in this course, discussing various concepts; you can select the one that best suits your needs. Besides that, some free courses are available with Udacity, including Intro to AI, Intro to ML, Safe and Private AI, A / B Testing, etc.

Key Highlights:

  • Learn about flexible learning programs and easy monthly payments from your own pace.
  • One of the best individual sites for free AI and ML courses.
  • Get a 1-on-1 professional mentor to help you know every concept in detail and respond to your questions while keeping you motivated.
  • Get a Completion Certificate for each course you complete.
  • Access real-world projects that industry experts design to master your tech skills.

You can Sign up Here

23. Artificial Intelligence for Beginners – Free Course (LinkedIn Learning – Lynda)

Duration: 1 hour 27 minutes

Rating: 4.6 out of 5

This curriculum teaches you the main principles of artificial intelligence. Begin by knowing the difference between weak and strong AIs before going into some of the core topics. The teacher will show you various approaches to AI including different subtopics such as deep learning and machine learning and their practical implications. There are also lectures showing you how to integrate AI with technologies such as cloud computing. By the end of this training, you will know the various skills and techniques necessary to solve the challenges of artificial intelligence.

Key Highlights:

  • Many possibilities to execute the skills covered by the lessons and specific instructions on how to use files for exercise.
  • Well-designed material and all subjects are dealt with thoroughly.
  • The professor provides you with explanations to work with the fundamental apps.
  • Training and evaluations are divided into tips and techniques and the curriculum can be used Freely.
  • You can view both online and offline lessons with the “offline view” option.
  • Files and other study materials may be obtained for the first month of sign-up on the platform free of charge.
  • Students, software developers, project managers, research associates and more are among the viewers of this training.

You can Sign up Here

24. Artificial Intelligence Engineer Master’s Program (Simplilearn)

Duration: Self-paced

Rating: 4.3 out of 5

Simplilearn offers a variety of classes and services for people of all ages. This Artificial Intelligence Engineer is a master’s program that IBM specialists create to equip you with the skills needed for a successful AI career. It is a training program which means that you would not only study and learn, but also get instructor training to understand better AI concepts. You will cover issues such as Deep Learning, Machine Learning, and the programming languages required to excel in AI during this training programme. You can receive an industry-recognized certificate from both IBM and Simplilearn once the course is complete.

Key Highlights:

  • Get a detailed understanding of artificial intelligence principles, such as data science, python programming, and machine learning
  • One of the comprehensive Artificial Intelligence master programs available online, which will give you valuable training
  • Access to IBM cloud platforms which compromise IBM Watson and other 24/7 practice software
  • Give your career a new direction after acquiring a certificate testifying to your skills as an Artificial Intelligence Expert
  • Learn how to use Python libraries such as SciPy, Scikit, NumPy and other essential techniques in machine learning

You can Sign up Here

25. Data Science by Harvard University (edX)

Duration: 2 to 8 weeks per course, 2 to 4 hours per week, per course

Rating: 4.6 out of 5

This HarvardX Data Science program has been designed to provide you with the practical knowledge and information base required to solve problems in real-world AI data analysis. The topics discussed in this training include probability, inference, regression and machine learning. In addition, you can also use R, data display and visualization and several other resources. Work on case studies, explain concerns, ask specific questions and learn by analyzing the results. By the end of the course, you will be efficient enough to apply for different levels of data science.

Key Highlights:

  • Learn about using tools like ggplot2, dplyr, git and GitHub, RStudio or Unix / Linux.
  • Cover and apply the basic principles of R programming and statistical concepts.
  • A few of the trends in U.S. crime reports, 200-2008 financial crisis, election forecasting etc.
  • Gain in-depth knowledge of basic data science concepts via case studies in the real world.
  • The activities are developed in collaboration with DataCamp, which has a code management system that allows you to learn hands-on during the lessons.
  • The curriculum, along with ideas, strategies and tests, is divided into 9 sections.

You can Sign up Here

26. Microsoft Professional Program in Data Science (edX)

Duration: 10 courses + Final Project, 16 to 32 hours per course

Rating: 4.5 out of 5

It is certain that data science is one of the key aspects that have contributed to the exploitation of the potential of artificial intelligence to resolve complex and wide-ranging problems. Through this training program you start with basic subjects before moving on to data modeling , data exploration and analysis, and developing creative solutions to problems with machine learning. With the same emphasis on abstract and practical lessons, this course ensures you get the most out of the courses.

Key Highlights:

  • Online lessons and quizzes make the lessons interesting and give you a chance to test on the subjects discussed.
  • To analyze data using Microsoft Excel and to access a relational database using Transact-SQL.
  • Complete the graded tests and practical lessons to receive a badge.
  • Build and validate Azure ML models and write R or Python code.
  • Introduce an ML solution for a given data problem in the capstone project.
  • Preparation and quizzes are split into weekly parts.

You can Sign up Here

27. Machine Learning Certification from University of Washington (Coursera)

Duration: 5 months

Rating: 4.6 out of 5

This training was organized by leading researchers from the University of Washington. Discover all about prediction, classification and clustering. This is created and taught by Emily Fox, Amazon Machine Learning Professor and Carlos Guestrin, Amazon Machine Learning Professor. You will preferably have basic knowledge before registering. It is an intermediate specialization.

Key Highlights:

  • University of Washington Certified Course
  • Perfect specialization for your internship
  • A certificate is given upon completion of the course
  • All Amazon Professors are teachers

You can Sign up Here

28. Deep Learning by IBM (edX)

Duration: 7 Months

Rating : 4.6 out of 5

Throughout this professional certificate program, you will learn and excel at Deep Learning skills through a series of hands-on assignments and projects. Available on renowned learning platform edX, the course will culminate into a Deep Learning capstone project that will help you showcase your applied skills to prospective employers. Among other things, you will learn fundamental concepts of Deep Learning, including various Neural Networks for both supervised and unsupervised learning. You will also learn how to build and deploy different types of Deep Architectures including Convolutional Networks, Recurrent Networks as well as Autoencoders. The trainers of this program are Joseph Santarcangelo, PhD., Data Scientist IBM; Alex Aklson, Ph.D., Data Scientist at IBM and Saeed Aghabozorgi PhD, Sr. Data Scientist IBM.

You can Sign up Here

29. Artificial Intelligence Course with Python (Udemy)

Duration: 12 hours

Rating: 4.5 out of 5

Frank Kane is one of the best online mentors in computer education, data science and artificial intelligence. He will teach you about neural networks, artificial intelligence and machine-learning techniques in this tutorial. After working in Amazon and IMDb, Frank has gained a wealth of experience and is ready to share it all. By presenting over 80 lectures with tons of examples of Python code, he will teach you how to estimate using linear regression, polynomial regression and multivariate regression. He will also help you understand complicated multilevel models; build a spam classification system and teach you a lot more.

Key Highlights:

  • The instructor comes with good experience in the industry
  • So far, the instructor has taught over 100,000 students contains data science, machine learning and deep learning sessions.
  • 12 hours on request for full-life access online lectures

You can Sign up Here

30. Artificial Intelligence Certification: Learn How To Build An AI (Udemy)

Duration: 17 hours

Rating: 4.3 out of 5

Nearly 50 000 students have attended this course, which unites the power of data science , machine learning and deep learning to assist you in creating strong artificial intelligence for real applications. They have taught more than 500,000 students, created by Hadelin de Ponteves and Kirill Eremenko! You will learn to develop an AI, create a virtual self-driven vehicle, playing AI and also demystify Q-learn, deep Q-learning, and deep convolutional Q-learning models. You will also learn to create AI. All you need to know to sign up is mathematics of high school level.

Key Highlights:

  • The course contains on-demand online content for 17 hours, 15 articles and 7 additional resources.
  • Without prior coding experience, you can also learn AI through this program.
  • In one-course master aspects of data science, machine learning and deep learning
  • Trainers have combined teaching experience with over 500,000 students

You can Sign up Here

Wrapping Up

This is the list of the 30 Best and Free Online Artificial Intelligence Courses & Certification of 2020. They are popular and loved by many experienced Artificial Intelligence Courses learners. You will find between these courses what you need to learn in order to continue your Artificial Intelligence Courses learning journey.

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