15 Best + Free Artificial Intelligence Course & Certification [2019]

Best AI Courses, Training and Certifications

Our global team of experts has done extensive research to come up with this list of Best +Free Artificial Intelligence Courses, Certification, Tutorial, and Training available online for 2019. These are relevant for beginners, intermediate learners as well as experts. More than 113,000 students and professionals have already benefited from this compilation.

 

15 Best +Free 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 2,612,800 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 at 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. IBM AI Engineering Professional Certificate (Coursera)

If you want to be a part of the fast pacing field, artificial intelligence, then this professional certification program can open the right path for you. This program consists of six different courses that will provide you with a practical understanding of Machine learning and Deep learning concepts. In this course, you will learn the fundamental concepts of ML and Deep learning with both supervised and unsupervised learning. This course is designed by an experienced faculty of IBM to help individuals cover every essential topic related to artificial intelligence. Only after finishing all the six courses, you will be able to receive a professional certificate in AI Engineering.

 

Key USPs –

– Learn how to utilize the popular machine learning and deep learning libraries like SciPy, ScikitLearn, PyTorch, etc.

– Learn how TensorFlow is applied to industry problems involving text analytics, object recognition, natural language processing, and other types of classifiers

– Dive into the individual concepts of machine learning with an approachable and professional programming language, Python

– Obtain the skills to scale data science and machine learning tasks on Big Data sets using Apache Spark

– Be able to build, train, and deploy different types of deep architectures, as well as convolutional networks, recurrent networks, and autoencoders

 

Duration: 3 months

Rating: 4.7 out of 5

You can Sign up Here

 

 

3. AI: Business Transformation Executive Education (Kellog)

This course is created for individuals who are looking forward to learning about strategies and techniques of artificial intelligence to solve business problems. After the fundamental topics are discussed you will go over how AI is impacting different industries as well as the various tools that are involved in the operations for developing efficient solutions. By the end of the program, you will have numerous strategies under your belt that can be used to improve the performance of your organization.

 

Key USPs –

– Learn to manage customer expectations and develop AI models accordingly.

– Multiple case studies that allow you to get a better understanding of the challenges faced in the real world.

– Get answers to your queries from a dedicated support team.

– Complete the exercises and get feedback on your performance.

– Work with real-life based data.

– Pass the exam with at least 80% to earn the certification.

 

Duration: 2 months, 4 to 6 hours per week

Rating: 4.5 out of 5

You can Sign up Here

 

 

4. 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. In case you are interested, you may also want to check out Best Python Courses.

 

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 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.

 

 

5. AI For Everyone by Andrew Ng (Coursera)

deeplearning coursera courseArtificial 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.

 

 

6. Artificial Intelligence Certification by Columbia University (edX)

Enroll 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. Don’t forget checking the list of best Deep Learning Courses out there.

 

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

 

 

7. Artificial Intelligence Graduate Certificate (Stanford Online)

Stanford School of Engineering provides excellent courses related to AI, ML, etc., and this graduate certificate is also focused on artificial intelligence. Enrolling in this program will provide you with the foundation and advanced skills in the principles and technologies that come under artificial intelligence. You will learn about logic, probabilistic models, knowledge representation, and machine learning. The instructor, Andrew Ng, is one of the best professors at Stanford who is leading the artificial intelligence revolution. He will assist you personally in every class to resolve your queries and make you understand the topics more clearly. After completing this graduate program with given projects, you will earn your certificate of completion.

 

Key USPs –

– One of the best courses provided by Stanford School of Engineering that is focused on providing an excellent knowledge of core concepts of AI

– Guide you to different subjects that are included with or related to the field of AI, such as machine learning, deep learning, etc.

– Gain guidance and support from expert instructors who have been teaching Artificial intelligence for a long time

– Learn topics in-depth with courses available in different areas, such as robotics, natural language processing, and vision

– Study from your own pace without any deadlines

 

Duration: 1-2 years

Rating: 4.5 out of 5

You can Sign up Here

 

 

8. Introduction to Artificial Intelligence by IBM (Coursera)

Offered by IBM, this introductory course will guide you to the basics of artificial intelligence. With this course, you will learn what AI is and how it used in the software or app development industry. During the course, you will be exposed to various issues and concerns that surround artificial intelligence like ethics and bias, and jobs. After completing the course, you will also demonstrate AI in action with a mini project that is designed to test your knowledge of AI. Moreover, after finishing the project, you will also receive your certificate of completion from Udacity.

 

Key USPs –

– Learn and understand AI concepts and useful terms like machine learning, deep learning, and neural networks

– No prior knowledge of programming or computer science required to enroll in this course

– Get advice from experts about learning artificial intelligence better and how to start a career in this growing field

– Be eligible to enter into other classes and programs like AI Foundations, IBM Applied AI professional certificate after finishing this course

– 100% flexible course with no deadlines and freedom to study from your own pace

 

Duration: 4 weeks, 1-2 hours/week

Rating: 4.7 out of 5

You can Sign up Here

 

 

9. Microsoft Professional Certification in Artificial Intelligence (edX)

Microsoft edXThis 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 

 

 

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

deeplearning coursera courseIf 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. Don’t forget checking out the compilation of Best Tensorflow Courses.

 

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.

 

Duration: 4 weeks, 4 to 5 hours per week

Rating: 4.6 out of 5

You can Sign up Here  

 

 

11. Free Artificial Intelligence Courses (edX)

If you are looking for free artificial intelligent courses, then edX is providing free online courses and tutorials entirely focused on AI, machine learning, and robotics. The specialty of these courses is that all of them are designed and created by top institutions in the world like Harvard, Columbia, Microsoft, and others. From computer vision and image analysis to robotics: kinematics and mathematical foundations, you can choose any topic that you want to learn and expand your career with. And if you pay a small fee after completing the course, you can even obtain your certificate of completion in the specific course.

 

Key USPs –

– A variety of courses to choose from based on your knowledge and requirements that will help you learn core concepts

– Know about the fundamentals of AI, Machine Learning, Robotics, and how they are useful in the upcoming time

– Understand computer science, math, psychology, natural language processing, neuroscience, data science, and many other disciplines

– Learn how to manipulate robotic arms, represent 2D and 3D spatial relationships, and explore unsupervised learning techniques

– Take guidance and help from instructors of top institutions who will assist you at every step of learning

 

Duration: Self-paced

Rating: 4.5 out of 5

You can Sign up Here

 

 

12. Artificial Intelligence Courses (Udemy)

If you want to access all the relevant and best courses on artificial intelligence, then Udemy is the best resource for you. It offers a list of numerous AI courses, focused on expanding your skills and make you an expert in this field. Amongst these courses, the best-sellers are Artificial Intelligence A-Z: Learn to Build AI, Deep Learning and Computer Vision A-Z, Artificial Intelligence: Reinforcement Learning in Python, and Advanced AI: Learning in Python. Taking these courses will not only provide you with the fundamental concepts of AI, but you will be very well equipped with the significant aspects and techniques of artificial intelligence. More than that, all of these courses are available with a 30 days free trial, so you can review each session carefully, and then select the desired course.

 

Key USPs –

– A massive list of AI courses to choose from, each of which is designed to give you in-depth knowledge of basics as well as advanced concepts

– Developed and reviewed by expert instructors of AI who will assist you at every stage of learning

– Avail multiple video lectures, notes, quizzes, and practice exams to review your skills and test your knowledge in the subject

– Learn skills like Python programming, machine learning, deep learning, neural networks, TensorFlow, and much more

 

Duration: Self-paced

Rating: 4.7 out of 5

You can Sign up Here

 

 

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

If you want to learn how AI can be used to become a product manager, then this nano degree program offered by Udacity is for you. In this program, first, you’ll be introduced to AI in businesses, creating a dataset, building a model, and then create an AI product manager. Apart from the course content, you’ll also get access to a technical mentor who will guide you at every stage of the course to help you learn and understand topics more effectively. Also, a nano degree certification will be provided to you after you complete the course and finish the projects involved in it. You may be interested in checking out a list of Best Product Management Certification Online.

 

Key USPs –

– Learn from a team of expert instructors who designed this course keeping end-user requirements in mind

– Gain foundational knowledge of machine learning and artificial intelligence, and learn how to develop a business case for an AI app

– Learn how to create a high-quality data set and how data fits in a particular use case

– A flexible learning program that allows you to learn from your own pace without any deadlines

– Avail resume services, LinkedIn profile review, GitHub review, and interview preparation classes

 

Duration: 2 months, 5-10 hours/week

Rating: 4.6 out of 5

You can Sign up Here

 

 

14. 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 include Intro to AI, Intro to ML, Secure and Private AI, A/B Testing, etc. If you are interested, we also have a compilation of the best computer vision courses.

 

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

 

 

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

If you are looking for a professional and trustworthy platform to begin with your artificial intelligence learning, then this program from MIT Professional Edu is the best option for you. Taking this program will help you learn in-person from the experienced faculty of MIT University and leading industry practitioners. With this program, you will be able to learn essential concepts and skills that are required to develop effective AI systems, as well as you will be able to tackle the challenges that are posed by AI in the workplace. It consists of four different short programs, completing which will provide you with a professional shareable certificate.

 

Key USPs –

– Guide you through the latest advancements and technical approaches in AI technologies like natural language processing, deep learning, and predictive analytics

– Learn about algorithmic methods that will help you improve your knowledge and skills in artificial intelligence

– Understand how to apply cutting-edge, industry-relevant knowledge in machine learning and artificial intelligence

– Get 15% discount on your future MIT Professional Edu short programs and Digital Plus Programs courses after taking this course

– Get continuous updates on faculty research, new programs, and MIT initiatives via a daily newsletter

 

Duration: Self-paced

Rating: 4.5 out of 5

You can Sign up Here

 

 

16. 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 

 

Bonus Courses

 

17. 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

 

 

18. 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 ideal 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

 

 

19. 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. Do have a look at some of the Best Data Science Courses out there.

 

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 

 

 

20. 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 master’s 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

 

 

21. 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 

 

 

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

Simplilearn provides a variety of courses and programs for all types of individuals. This Artificial Intelligence Engineer is a master’s program that is developed by IBM experts to equip you with skills required for a successful career in AI. It is a training program, which means you will not only study and learn but also get training from the instructors to better understand the concepts of AI. During this training program, you will cover topics like Deep learning, Machine learning, and the programming languages that are required to excel in AI. After finishing the program, you will receive an industry-recognized certificate from both IBM as well as Simplilearn.

 

Key USPs –

– One of the extensive master programs in Artificial Intelligence available online that will provide you with useful training

– Access to IBM cloud platforms that compromises of IBM Watson and other software for 24/7 practice

– Get in-depth knowledge of artificial intelligence concepts like Data Science, Python Programming, and Machine Learning

– Learn how to use Python libraries like SciPy, Scikit, NumPy, and other essential machine learning techniques

– Give your career a new direction after obtaining the certificate that will testify your skills as an expert in Artificial Intelligence

 

Duration: Self-paced

Rating: 4.3 out of 5

You can Sign up Here

 

 

23. 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 

 

 

24. 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 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.

 

Rating : 4.6 out of 5

You can Sign up Here

 

 

25. Data Science by Harvard University (edX)

This HarvardX Data Science program is designed to prepare you with the useful skillset 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 

 

 

26. Intro to Artificial Intelligence (Udacity)

This course is part of the School of Artificial Intelligence program, designed to introduce you to the fundamental concepts of AI. Upon taking this course, you will cover topics like machine learning, robotics, natural language processing, and probabilistic reasoning. The specialty of this course is that it is integrated with a Nano degree program – Introduction to Programming, which means after completing this course, you can enroll yourself in this program to attain other essential skills of artificial intelligence. The instructors of the course are industry professionals who are working in the AI field for a long time, so you will get a great company while learning.

 

Key USPs –

– Learn the fundamental concepts of modern AI and some of the representative applications used in artificial intelligence

– Get to know about various forms and vast possibilities in the field of artificial intelligence that can expand human capability beyond imagination

– Avail rich learning content, interactive quizzes, and much more after enrolling into the course

– Join a student support community where queries and solutions related to course content are shared by students

– Freedom to learn from your comfort zone without any fee, as this course is absolutely free to join

 

Duration: 4 months

Rating: 4.5 out of 5

You can Sign up Here 

 

 

27. 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 an 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

 

 

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

University of WashingtonLeading researchers from the 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.

 

 

29. 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.

– The 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

 

 

30. 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 include 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 –

– The 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

 

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. Wish you the best wish learning, growing and earning more! Cheers, Team Digital Defynd 🙂