10 Best Artificial Intelligence Course & Certification [2019]

Best AI Courses, Training and Certifications

Our global team of experts have done extensive research to come up with this list of 15 Best Artificial Intelligence Courses, Tutorial, Training and Certifications available online for 2019. These are relevant for beginners, intermediate learners as well as experts.

 

10 Best Artificial Intelligence Courses, Tutorial, Training and Certifications Online [2019] [UPDATED]

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

Stanford Coursera CourseIf learning Machine Learning is on your mind, then there is no looking further. Created by Andrew Ng, Professor at Stanford University, more than 1,680,000 students & professionals globally have enrolled in this program, who have rated it very highly. This course provides an introduction to the core concepts of this field such as supervised learning, unsupervised learning, support vector machines, kernel, and neural networks.  Draw from numerous case studies and applications and get hands-on to apply the theoretical concepts to practice. By the end of the classes, you will have the confidence to apply your knowledge to real-life scenarios. You may also like to have a look at some of the best machine learning courses.

 

Key USPs-

– Understand parametric and non-parametric algorithms, clustering, dimensionality reduction among other important topics.

– Gain best practices and advice from the instructor.

– Interact with your peers in a community of like-minded learners from all levels of experience.

– Real world based case studies give you the opportunity to understand how problems are solved on a daily basis.

– The flexible deadline allows you to learn as per your convenience.

– Learn to apply learning algorithms to build smart robots, understand text, audio, database mining.

 

Duration : 55 hours

Rating : 4.9 out of 5

You can Sign up Here

 

Review : This course provides a thorough, end-to-end immersion into the world of machine learning. Not only does it cover clear explanations of theory, but it also highlights practical pointers and words of caution. Highly recommended course.

 

 

2. Deep Learning by Andrew Ng (Coursera)

deeplearning coursera course

If you want to jumpstart a career in AI then this specialization will help you achieve that. Through this array of 5 courses, you will explore the foundational topics of Deep Learning, understand how to build neural networks, and lead successful ML projects.  Along with this, there are opportunities to work on case studies from various real-world industries. The practical assignments will allow you to practice the concepts in Python and in Tensorflow. Additionally, there are talks from top leaders in the field that will give you motivation and help you to understand the scenarios in this line of work.

 

Key USPs-

– Learn about convolutional networks, RNNs, BatchNorm, Dropout and more.

– The lessons will help you to learn different techniques using which you can build models to solve real-life problems.

– Real-world case studies in fields such as healthcare, autonomous driving, sign language reading, music generation, and natural language processing are covered.

– Gain best practices and advice from the industry experts and leaders.

– Complete all the assessments and assignments as per your schedule to earn the specialization completion certification.

 

Duration: 3 months, 11 hours per week

Rating : 4.7 out of 5

You can Sign up Here

 

Review : Course content is very good. Andrew Ng’s style of teaching is phenomenal. He has a knack for uncomplicating an otherwise complex subject matter. Highly recommended for anyone who is trying to understand the fundamentals of neural networks and deep learning.

 

 

3. AI For Everyone by Andrew Ng (Coursera)

Artificial intelligence is considered to be one of the more complex topics in technology but its use in our daily lives cannot be overstated. So if you want your organization to become better at using this technology then this program is worth a look. In the classes, you will learn the meaning behind basic and crucial terminologies, what AI can do and cannot do, spot opportunities to apply AI solutions to problems in your organization and more. By the end of the lectures, you will be proficient in the business aspects of AI and apply them aptly in relevant situations. The course is created by Andrew Ng, the pioneer in the field of artificial intelligence, and the founder of Coursera.

 

Key USPs-

– Understand what it is like to build machine learning and data science projects.

– Work with an artificial intelligence team and build a strategy in your company.

– Navigate ethical and societal discussions surrounding this field.

– The lessons do not require any prerequisites, hence it can be taken by anyone with any level of experience.

– The deadlines of the classes can be adjusted as per your convenience.

 

Duration: 4 weeks, 2 to 3 hours per week

Rating: 4.9 out of 5

You can Sign up Here 

 

Review : It’s a fantastic course by Andrew. Everyone should take it to understand how AI can impact any software system.

 

 

4. Artificial Intelligence Nanodegrees (Udacity)

Artificial Intelligence has become one of the fastest-growing and most transformational technologies of this era, and there will be many opportunities for individuals in the coming future. Therefore, if you are willing to make a career in AI, Udacity is offering the school of AI program that will guide you to different concepts of Artificial Intelligence and Machine Learning, such as introduction to AI products, Annotating datasets, Training ML models, Introduction to Machine Learning, Deep learning, and much more. There are many Nano degree programs involved in this course, covering various concepts; you can select the program that best fits your needs. Apart from that, there are some free courses also available with Udacity, which includes Intro to AI, Intro to ML, Secure and Private AI, A/B Testing, etc.

 

Key USPs –

– One of the best platforms to get started with free AI and ML courses

– Get a 1-on-1 technical mentor who will guide you to learn every concept deeply and answer your queries while keeping you motivated

– Learn from your own pace with flexible learning program and easy monthly payments

– Access real-world projects designed by industry experts to master your tech skills

– Get a Certification of Completion with every course that you complete

 

Duration: Self-paced

Rating: 4.8 out of 5

You can Sign up Here

 

 

5. Artificial Intelligence Certification by Columbia University (edX)

Columbia University Courses OnlineEnroll in this certification to gain expertise in one of the fastest growing areas of computer science through a series of lectures and assignments. The classes will help you to get a solid understanding of the guiding principles of artificial intelligence. With equal emphasis on theory and practical, these lessons will teach you to deal with real-world problems and come up with suitable AI solutions. With this credential in your bag, it is safe to say that you will have an upper hand at job interviews and other opportunities. You may also be interested in checking out some of the Best edX Courses.

 

Key USPs-

– The videos guide you through all the fundamental concepts beginning from the basic topics to more advanced ones.

– Apply the concepts of machine learning to real-life challenges and applications.

– Thorough instructions are provided for configuring and navigating through the required software.

– Working on designing and harnessing the capabilities of the neural network.

– The classes are divided into 4 parts along with relevant examples and demonstrations.

– Apply the knowledge gained in these lectures in an array of fields such as robotics, vision and physical simulations.

 

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

Rating : 4.5 out of 5

You can Sign up Here

 

 

6. Microsoft Professional Certification in Artificial Intelligence (edX)

This program is designed with the focus to help you gain the skills needed to build deep learning predictive models for AI. While you are free to take the lessons in any order it is advised to follow along with the suggested format so that you can develop your knowledge with gradually advanced concepts. After the completion of the first eight mandatory courses, you can choose from four options for the ninth one prior to getting started with the capstone project.

 

Key USPs-

– Learn to use Python to work with data.

– Understand the ethical practices in AI.

– Build machine learning and reinforcement learning models.

– Develop applied artificial intelligence solutions and apply them.

– The program is divided into 9 courses along with tips, techniques, and assessments.

– The final project gives you the chance to integrate the topics covered in the lectures and build optimal solutions.

 

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

Rating: 4.6 out of 5

You can Sign up Here 

 

 

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

If you are a software developer or have some prior experience with coding and are looking forward to building on those skills then this certification is worth a look. These classes show you the techniques to implement the foundational principles of machine learning and deep learning using TensorFlow and build scalable models to solve real-world problems. By the end of this program, you will have the practical skills to come up with scalable solutions for these problems as well as apply for relevant job profiles.

 

Key USPs-

– This lesson can be taken by anyone who has prior experience in Python.

– The instructor helps you to work with the fundamental features with the help of examples.

– Build a basic neural network and train it for a computer vision application.

– Understand how to use convolutions to improve your neural network.

– The training consists of tips and techniques along with assessments.

– The flexible deadline allows you to learn as per your convenience.

 

Duration: 4 weeks, 4 to 5 hours per week

Rating: 4.6 out of 5

You can Sign up Here  

 

 

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

It is a fact that AI and ML are the fastest growing field in today’s world but it can come off as intimidating o beginners. So irrespective of whether you are a complete novice or seasoned ML practitioner, this platform will provide you with relevant information and exercises to help you develop your skills and advance your projects. If you are not sure where to start then begin by defining your current experience level, the type of content that you are looking for and the stage of ML development and the website will suggest appropriate material for you.

 

Key USPs-

– Well designed content and all the topics are covered elaborately.

– The content helps you to work on the fundamental techniques with the help of examples.

– Plenty of opportunities to implement the skills covered in the lessons and using real-world tools and real-world datasets.

– Discover the collection of tools and project-oriented featured resources.

– The classes contain tips and techniques along with assessments.

 

Duration: Self-paced

Rating: 4.5 out of 5

You can Sign up Here 

 

 

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

This comprehensive course is designed to teach you the concepts of AI from scratch. The good thing is that no prior experience is required for this program so it can be taken by anyone irrespective of their expertise level. Start by learning to code self-improving AI for a range of purposes by using downloadable code templates available in the material. Learn the methods to build effective solutions and understand the ‘why’ of every step along with the ‘how’. Upon the end of the certification, you will be able to optimize your AI solution to reach its full potential.

 

Key USPs-

– As this is a beginner level course, therefore this course is perfect for learners with little or no basic programming experience.

– Concepts covered include deep convolutional Q-Learning, the theory behind Artificial Intelligence and more.

– Build a virtual self-driving car and to optimize it.

– Continuous support from the instructors and doubt clarification.

– 113 Lectures + 14 Articles + Full lifetime access

– Complete guidance to perform all the necessary configuration and installations.

 

Duration: 16 hours

Rating: 4.4 out of 5

You can Sign up Here

 

Review : “Very engaging, interesting and relevant material. The theory instructor is simply amazing. The practical instructor is not bad too. Thank you for not “teaching” Python, and going instead right to the point. The one slightly bad thing is the code. It is very poorly commented and the styling standards are not amazing. Can’t say if that a bad thing because I rewrote and commented most of the code; it made me understand everything to the perfection. Keep it going guys!” -Radu Raicea

 

 

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

This is your comprehensive guide to Mastering Artificial Intelligence using Deep Learning and Neural Networks. You will learn how to build various deep learning agents, use advanced reinforcement learning algorithms for a variety of problems, understand Reinforcement Learning with RBF Networks and also use Convolutional Neural Networks with Deep Q-Learning. In order to sign up, it will be idea if you know reinforcement learning basics, MDPs, Dynamic Programming and/or TD Learning. Want to go deeper in Deep Learning, check out some of the best Deep Learning Certifications.

 

Key USPs –

– 10,000+ students have taken up this program so far and they look deeply satisfied with the teachings.

– The trainer is much renowned and popular for his teaching methods

– Course updated very regularly to ensure participants get the best knowledge on the subject

 

Duration : 7 hours

Rating : 4.7 out of 5

You can Sign up Here

 

Review – Well put together and a great learning experience. State of the art techniques and each topic comes with a coding example to show how its used. Definitely a good way to spruce up your deep learning skills. – Freddy Shau

 

 

11. IBM Data Science Professional Certificate (Coursera)

This certification consists of a series of 9 courses that help you to work on the skill set that is required to pursue a career in Data Science or Machine learning. The lectures cover a wide range of topics including data visualization, analysis, libraries, classification, and open source tools and libraries. Along with this, the lessons talk about how the algorithms and models can be used in real life scenarios. Upon the completion of the program, you will have a portfolio that can be showcased to plunge into an exciting profession.

 

Key USPs-

– Earn a professional certificate as well as a digital badge from IBM in recognition of your proficiency.

– Uncover the insights and trends that have been around since ancient times.

– Learn about the utility of each tool and use them to work on hands-on lessons.

– Form a concrete business or research problem, collect and analyze data, build a model, and understand the feedback after model deployment.

– Anyone interested in developing skills and experience to pursue a career in this field can enroll in this class.

 

Duration: 2 months, 12 hours per week

Rating: 4.6 out of 5

You can Sign up Here 

 

Bonus Courses

 

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

The trainer of this program is a data scientist, big data engineer as well as a full stack software engineer! With a masters in computer engineering and a specialization in machine learning, he is best suited to teach you AI using Python. You will learn to apply gradient-based supervised methods to reinforcement learning, understand the relationship between reinforcement learning and psychology, and understand reinforcement at a technical level. You will need to have experience with few supervised machine learning methods and good object-oriented programming skills in order to attend this course.

 

Key USPs –

– Regularly updated course so you get the latest information on the subject

– Includes 8 hours of on demand video available online for a lifetime

– Innumerous 5 star ratings from participants

 

Rating : 4.6 out of 5

You can Sign up Here

 

Review – “Learnt a great deal about implementing reinforcement learning algorithms, the course introduces reinforcement learning in a very neat and structured manner, which helps a learner easily understand the pros and cons of each approach.” – Bhavesh Parmar

 

 

13. Intro to Artificial Intelligence (Udacity)

In this course, you will be introduced to the basics of modern AI as well as some of the representative applications. The crucial topics covered include computer vision, robotics, natural language processing, probabilistic reasoning, and machine learning. The content can be accessed for free and the enrolled version will give you access to project reviews, mentorship, certification, career services, and job assistance.

 

Key USPs-

– Get access to rich learning content.

– Gain best practices and guidance from industry professionals.

– Join the student support community to exchange ideas and clarify concepts.

– Continuous support from the instructors and doubt clarification.

– Solve the interactive quizzes to measure your grasp on the topics.

– The self-paced classes allow you to learn at your own pace.

 

Duration: 4 months

Rating: 4.4 out of 5

You can Sign up Here 

 

 

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

Over the years Python has become a language that can be used to implement various ideas in the numerous areas of artificial intelligence such as deep learning, machine learning, reinforcement learning and more. This specialization will introduce you to the foundational programming concepts including data structures, networked application program interfaces, and databases using Python. After the completion of all the core concepts, you will get the opportunity to work on a final project and implement the skills you have acquired throughout the lectures.

 

Key USPs-

– As this is a beginner level course, therefore this course is perfect for learners with little or no basic programming experience.

– Implement the concepts covered in the lessons by writing your first Python program and experimenting with the different techniques.

– The lectures are designed in a fun and interactive manner which makes it engaging and can be used to solve complex challenges.

– The program is divided into a series of 5 courses with an increasing level of difficulty.

– Create applications for data retrieval and processing.

– Understand the basics of SQL and database design.

 

Duration: 4 months, 11 hours per week

Rating: 4.8 out of 5

You can Sign up Here 

 

 

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

This training will introduce you to the crucial concepts of artificial intelligence. Commence with understanding the difference between strong and weak AIs before jumping into some of the more central topics. The instructor will show you the different approaches to AI including different subtopics such as deep learning and machine learning and their practical implications. Additionally there are lectures that show you how to integrate AI with technologies such as big data. By the end of the training, you will be proficient in the various skills and techniques required to solve artificial intelligence challenges.

 

Key USPs-

– Well designed content and all the topics are covered elaborately.

– The instructor helps you to work with the fundamental features with the help of examples.

– Plenty of opportunities to implement the skills covered in the lessons and detailed instructions regarding how to work using the exercise files.

– You can view the lessons online as well as offline with the ‘view offline’ option.

– The training is divided into tips and techniques along with assessments and the program can be availed for free.

– The viewers of this training include students, software developers, project managers, research fellow and more.

– The content of the videos exercises files and other study materials can be accessed for free for the first month of signing up on the platform.

 

Duration: 1 hour 27 minutes

Rating : 4.6 out of 5

You can Sign up Here 

 

 

16. Deep Learning by IBM (edX)

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 elearning 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.

 

Rating : 4.6 out of 5

You can Sign up Here

 

 

17. Data Science by Harvard University (edX)

This HarvardX Data Science program is designed to prepare you with the useful skill set and knowledge base required to solve real-world data analysis challenges in the field of AI. The concepts covered in this course include probability, inference, regression, and machine learning. Along with these, you will also use R programming, data wrangling and visualization, and many other tools. Work on case studies, clarify doubts, ask specific questions and learn by answering these through data analysis. By the end of the lessons, you will be efficient enough to apply for various levels of data science jobs.

 

Key USPs-

– Cover the fundamentals of R programming and statistical concepts and apply them to practice.

– Learn to use tools such as ggplot2, dplyr, git and GitHub, RStudio and Unix/Linux.

– Gain in-depth knowledge of fundamental data science concepts through real-world case studies.

– Some of the case studies trends in US crimes, the financial crisis of 200-2008, election forecasting etc.

– The program is divided into 9 courses along with tips, techniques, and assessments.

– The assignments are created in partnership with DataCamp which has a code checking technology that will give you an opportunity to get hands-on practice during the lessons.

 

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

Rating: 4.6 out of 5

You can Sign up Here 

 

 

18. Microsoft Professional Program in Data Science (edX)

It is safe to say that data science is one of the crucial areas that have helped to leverage the potential of artificial intelligence to solve complex and large scale problems. In this professional program, you will start from the fundamental topics before moving on to the creation of data models, exploration and transformation of data and build innovative solutions to machine learning problems. With equal emphasis on theoretical and practical lessons, this course makes sure that you make the most of what the classes have to offer.

 

Key USPs-

– Use Microsoft Excel to explore data and Transact-SQL to query a relational database.

– Create and validate ML models with Azure and write the code using R or Python.

– The interactive lessons and quizzes make the classes intriguing and provide an opportunity to check your grasp on the topics covered.

– Complete the graded assessments and practical lessons to earn the course completion badge.

– The training is divided into weekly sections along with quizzes.

– In the capstone project implement a ML solution for a given data problem.

 

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

Rating: 4.5 out of 5

You can Sign up Here

 

 

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

University of WashingtonLeading researchers from University of Washington have put together this training. Learn all about Prediction, Classification, Clustering among other key areas. It is created and taught by Emily Fox, Amazon Professor of Machine Learning and Carlos Guestrin, Amazon Professor of Machine Learning. This is an intermediate specialization and you should ideally have preliminary knowledge before signing up.

 

Key USPs –

– Ideal specialization to level up in your machine learning game

– Course accredited to the University of Washington

– Teachers are both Amazon Professors

– A Certificate offered after the course completion

 

Duration : 5 months

Rating : 4.6 out of 5

You can Sign up Here

 

Review – Excellent course, really appreciate the your hard work in creating easy to follow course, very good slides and presenting information and explanations step by step…. oh and also love the on-screen chemistry between both of you and engaging style with students. It has been an enjoyable course. Please keep up the good work.

 

 

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

This course that has been attended by close to 50,000 students so far combines the power of Data Science, Machine Learning and Deep Learning to help you create powerful Artificial Intelligence for real applications. Created by Hadelin de Ponteves and Kirill Eremenko, they have taught over 500,000 students between them! You will learn how to build an AI, make a virtual self driving car, make an AI to beat games and also demystify AI models Q-Learning, Deep Q-Learning and Deep Convolutional Q-Learning. All you need to know in order to sign up is High School Mathematics.

 

Key USPs –

– You can learn AI without prior coding experience as well through this program.

– Course comes with 17 hours of on demand online video, 15 articles and 7 supplemental resources.

– The trainers have combined experience of teaching 500,000+ students

– Learn aspects of data science, machine learning and deep learning in one course

 

Duration : 17 hours

Rating : 4.3 out of 5

You can Sign up Here

 

Review – This is an extraordinary course and is exactly what I was looking for, as the instructors not only give a thorough explanation of deep Q-Learning, their model of the Self-Driving car and how they enjoyed it as it learned had me laughing, and the part of the level of the AI playing Doom was fantastic. – JR Adams

 

 

21. Artificial Intelligence Course with Python (Udemy)

One of the best online instructors of Machine Learning, Data Science and Artificial Intelligence is Frank Kane. In this tutorial, he will teach you about neural networks, artificial intelligence and machine learning techniques. Having worked at Amazon and IMDb, Frank has developed quite a rich experience over time and he is ready to share it all in this program. Through 80 lectures that includes loads of Python code examples, he will teach you how to make predictions using linear regression, polynomial regression, and multivariate regression. He will also help you understand complex multi-level models; build a spam classifier and teach you much more.

 

Key USPs –

– Trainer has taught more than 100,000 students so far

– Trainer comes with strong industry experience

– You will get 12 hours of on demand online lectures with full lifetime access

– Includes sessions on data science, machine learning and deep learning

 

Duration : 12 hours

Rating : 4.5 out of 5

You can Sign up Here

 

Review : Well paced, progressive and detailed course. It really makes me feel I learned something and can use it. Plus, it provides a few hints that can be re-used in my applications. – Fernand da Fonseca

 

22. Artificial Intelligence (AI) Introduction by Columbia University (edX)

In this specially curated Micro Masters Program, learn the fundamentals of Artificial Intelligence (AI) and get to know how to apply them. Learn to design intelligent agents to solve real-world problems including, search and constraint satisfaction problems. Professor Ansaf Salleb-Aouissi from the Department of Computer Science Columbia University has designed this course and teaches the same. She will teach you about the history of AI, state-space problem representations, uninformed and heuristic search and much more.

 

Key USPs –

– You will get hands on experience building a basic search agent.

– Divided into 12 weeks, with 8-10 hours to be invested per week.

– The best part is that this is a Free Artifical Intelligence (AI) Course, and you only need to pay for the certification if you wish to obtain the same.

 

Rating 4.5 out of 5

You can Sign up Here

 

Review – This is a great course. the content is well designed to arouse curiosity and is challenging. Vocareum is a little challenging. Not able to debug in Vocareum is a serious limitation that causes a learner to be less effecient. I liked the instructor but she could be more engaging. – Pramod Kumar

 

 

23. Artificial Intelligence Tutorial I: Basics and Games in Java

Balazs Holczer hails from Budapest, Hungary and he has a masters degree in applied mathematics. In order to attend this course, you should ideally know basic Java or basic math functions. Balazs will teach you help you get a good grasp of artificial intelligence, teach you how AI algorithms work and make you able enough to create AI algorithms on your own from scratch.

 

Key USPs –

– Learn to demystify meta-heuristics among multiple other AI concepts and terminologies.

– Trainer has an experience of teaching more than 50,000 students online

– Even professionals in their 40s and 50s are benefiting from the course as you can read in the testimonials

 

Rating : 4.3 out of 5

You can Sign up Here

 

Review – The lecturer is great. Great in the delivery of the topics and seems pretty knowledgable. Really good presentations and I like the fact that he mentions useful real-life applications of each algorithm and topic. – Marios Paschos

 

 

24. Artificial Intelligence Tutorial II – Neural Networks in Java

This is the second course in the series by Balazs, and he will teach you about background of neural networks along with helping you understand how to implement them. This is a 5 hour course with 3 articles and 3 supplemental resources, all available online, for lifetime access.

 

Rating : 4.4 out of 5

You can Sign up Here

 

Review – I liked this course. The narrator knows how to keep us interested and he really comprehends his subjects. I had the chance to understand and finally implement a neural network in Java! I would have like to know how to persist the neural network state after the training process and then doing more tests. Maybe it will be cover in another more advanced course. – Sébastien Renaud

 

So that was our take on what we found to be the Best Artificial Intelligence Courses, Training, Tutorials and Certifications. Hope they helped you find what you were looking for. You may also be interested in reading about Best Python Course , Best Data Science Course and do search for other courses to find best training programs in other domains. Wish you the best wish learning, growing and earning more! Cheers, Team Digital Defynd 🙂