These responsible AI courses will help you grow your business in 2022.
Learning Artificial Intelligence (though not very easy) has become very accessible now with a variety of courses and training available online. These courses are taught by the best AI educators, researchers, and experts, and often come at a cost much less than a typical college course. Some of these classes are very comprehensive and include a curriculum of an equivalent college degree. Some of these are even available for free and are perfect to get a glimpse into the world of AI. Taking these courses will help you become familiar with the use of artificial intelligence in business. Here are the top 10 responsible AI courses for your business growth.
Deep Learning A-Z™: Hands-On Artificial Neural Networks (Udemy)
Udemy has created an A to Z course of deep learning for beginners. It helps the students to learn to create Deep Learning Algorithms in Python from two Machine Learning and Data Science experts. The students get to understand the intuition behind Artificial Neural Networks and apply Artificial Neural Networks in practice.
Google AI Education
A free Google-led AI training program is available for beginners. Anyone who has ever wanted to get their start in artificial intelligence can take this course. Specially crafted by Google’s engineers to be as accessible as possible, it slowly provides the compounding knowledge on coding AI and how to code artificial intelligence programs. This is a series of courses, guides, and concept overviews created by Google which aim to provide the students with a solid foundation of knowledge in artificial intelligence and all topics related to it.
The Beginner’s Guide to Artificial Intelligence in Unity (Udemy)
Udemy has organized a unique program that focuses on the applications of AI in game development. Students who are familiar with C# and Unity, and are interested in game development, are perfect for this AI course. The Beginner’s Guide to Artificial Intelligence in Unity will teach the students a general overview of AI and its uses in gaming. The material covered in this artificial intelligence course relates to gaming. This AI course is very niche-specific, as it only focuses on gaming-related artificial intelligence applications.
AI For Everyone by Andrew Ng (Coursera)
This is a legendary artificial intelligence course led by Andrew Ng – the co-founder of Coursera. This class, together with Andrew’s “Machine Learning” course introduced Coursera to the masses. This is one of the best AI courses available online. Its course material is unique and has a great mentor. Moreover, it is not restricted to software engineers or computer scientists.
AI & Machine Learning Engineering Career Track (Springboard)
A massive 400-hour AI course is arranged by Springboard that guarantees job offers to all graduates. It’s a superb class for students who want to prioritize career-building. That is because this course comes with a unique proposal. If you graduate from this course, you get an AI-related job offer within 6 months, guaranteed. This course offers good value for this job proposal alone. Yet, the high-quality curriculum adds even more value to it. It covers everything related to AI, deep learning, and machine learning.
Artificial Intelligence A-Z: Learn How to Build an AI (Udemy)
A 17-hour AI course is provided by Udemy by Kirill Eremenko, the founder of SuperDataScience. This class is very beginner-friendly, as the course curriculum covers all the basics of AI. In this course, the students will learn the fundamentals of AI, its practical applications, and the theory behind it. Also, they will get to know about models that power AI applications such as self-driving cars. The course also teaches how to solve real-world problems with the help of artificial intelligence. The curriculum has a good length, and there are more topics covered in it than in many beginner AI courses.
ColumbiaX’s Artificial Intelligence MicroMasters Program (edX)
This course is intended for students who have basic knowledge of statistics, algebra, calculus, and Python. The most important of these prerequisites could be considered knowledge of Python, as the homework assignments throughout the course require the usage of Python. The course syllabus starts with introductory lectures on artificial intelligence and its history.
Introduction to Artificial Intelligence (edX)
Anyone who’s ever wanted to refine their programming skills by learning Microsoft’s very own cloud computing program can benefit from this course. While it’s introductory, a basic familiarity with programming languages (especially Python) is still recommended. One of the most important things you’ll learn from this course is the different avenues through which machines and humans can interact with each other. It starts by teaching you the foundational mechanics of how people and computers behave. Then, it uses that overview to help you build a framework for making your AI more human-like and to create basic programs and bots that can communicate with people.
Artificial Intelligence for Trading Nanodegree (Udacity)
With a specialization in the financial capabilities of artificial intelligence, Artificial Intelligence for Trading by Udacity can effectively combine the pragmatic approach of AI with the numbers-driven game of financial forecasting to give an education like no other. If you’re looking to improve your day-trading through automation, then this will be a course with lots of value to you. Those who want to learn the financial aspect of artificial intelligence will find this AI course amongst the best available, as it’s one of the very few courses available that tackle AI from a strictly financial standpoint.
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (Coursera)
TensorFlow is a popular open-source framework for machine learning and probably the best tool you can use to implement machine learning and deep learning algorithms and principles. This TensorFlow course offered on Coursera is a part of TensorFlow in Practice Specialization by deeplearning.ai. This course is suitable for software developers who have some experience in Python coding and some knowledge of machine learning and deep learning and who want to build scalable AI-powered algorithms in TensorFlow. It teaches how to use TensorFlow to implement the principles of machine learning and deep learning so learners can start building and applying scalable models to real-world problems.
Source: analyticsinsight.net
