Artificial Intelligence

10 Most Popular Artificial Intelligence Courses For Beginners

Artificial Intelligence Courses

Are you interested in taking a course in Artificial Intelligence? There are many AI courses and certifications that you can do online to become an Artificial Intelligence Pro.

AI lets you create an independent system of intelligence. The one who becomes a part of AI has the potential to grow in the future. Let’s start with the list of the 10 best Artificial Intelligence courses you can take online.

1. Applied AI Course

This course is available on Intellipaat designed by leading AI professionals and subject matter experts. It helps you to kick start your career as an AI expert.

Here you’ll be getting a comprehensive AI training course that envelopes various aspects of AI technology including Deep Learning, Neural Networks, TensorFlow code, predictive modeling, Python for scripting ML applications, APIs, and more. On top of that, you’ll work on real-world projects that will help you accelerate your career effortlessly

2. Machine Learning AI Certification by Stanford University

This course is available on Coursera. It is created by one of the professors at Stanford University. It’s highly popular and no wonder more than 1,680,000 students worldwide have enrolled for this course. 

It offers an introduction to AI concepts such as vector machines, supervised and unsupervised learning, neural networks, etc. It also consists of a number of case studies and applications that provide you with hands-on experience on the above concepts. By the end of the course, you will have knowledge about real-life scenarios. 

3. Deep Learning by Andrew Ng 

This course will help you jumpstart your career in AI. It walks you through the fundamentals of deep learning, building neural networks, and creating successful ML projects. You will also have the opportunity to work on case studies from real-world industries. The course also includes podcasts from the top leaders in the field to motivate you. 

4. Artificial Intelligence A-Z™: Learn How to Build an AI

This course is a combination of data science, deep learning, and machine learning. It will allow you to create powerful AI apps for the real-world. 

It gives you access to 14 articles, 16 hours of on-demand video, and a certification of completion. Before starting, you must have basic knowledge of Python. It enables you to understand the theory behind AI as well.

5. Nvidia – Fundamentals of Deep Learning for Computer Vision

This course teaches you the technical fundamentals of Computer Vision. It is an AI sub-discipline of building computers. It also includes identifying situations/problems that can be resolved from the application of machines that have the ability to recognize objects and image classification.  

The final assessment on the course covers the building and deploying a net of application. One can learn the complete course at their own pace.

6. AI for Everyone by Andrew Ng 

We cannot overstate the use of Artificial Intelligence in our daily lives. This course for those who want their organization to become better at using AI. It is created by the founder of Coursera, Andrew Ng himself. 

It teaches you the basic AI terminologies, what it can do and cannot, and identify opportunities in your organization to apply AI solution. By the end of the course, you will become proficient in the business aspects of AI.

7. Artificial Intelligence: Reinforcement Learning in Python

This course is designed for both students and professionals. It’s about Artificial Intelligence, Deep Learning, Data Science, and Machine Learning. It is a complete guide to these subjects.

The course includes an 8-hour on-demand video. You must have a basic understanding of calculus, Numpy stack, probability, and Markov models before getting started. It will teach you how to apply gradient-based supervised ML for reinforcement learning. In other words, it will help you understand reinforcement learning on a technical level. 

8. The Beginner’s Guide to Artificial Intelligence in Unity

Anyone who are interested in learning how to program characters can take this course. It teaches you how to apply artificial intelligence in computer games. To get started, you must familiar with C# and the game development engine called Unity. 

Penny de Byl has designed this course. He is an international award-winning professor. He will teach you how to design and program NPCs using C#. Along with that, you will also learn how to apply AI in computer games. 

The course is based on a 9-hour video that’s available on-demand along with full-time access to 11 articles and 46 resources that are all downloadable. 

9. AI & Deep Learning with TensorFlow

TensorFlow is a software that is used in the speech recognition system of Google. This course takes you to the fundamentals of deep learning and helps you in understanding how to solve problems that ML cannot by using Deep Learning. 

You will learn about Softmax function, neural networks, Boltzmann machine, and libraries such as TF learn and Keras. You will access 13 hours of video, assignments, and real-life case students. Once you have taken the course, you will also get the certification of completion. 

10. Artificial Intelligence Nanodegree 

AI is certainly a fast-growing and transformational technology of the current era. Udacity is offering this course to individuals who want to learn about Artificial Intelligence and Machine Learning.

It will introduce you to AL products, training ML models, annotating datasets, deep learning, etc. The best part is this course is free! Anyone who wants to get the basic knowledge of AL and ML can get started with it at your own pace. It also gives you access to real-world projects designed by industry experts.

Each course serves a different purpose so do some basic homework before enrolling yourself.

Related posts

The Future of Research in Environmental Consulting with AI


How Is Unsupervised Machine Learning Reshaping Marketing?


Unveiling the Next Wave: The Future of AI in UX Design


How to Create AI Software?


Iteration Cycle Bottleneck in AI Development: Is It Still a Problem?


Artificial Intelligence And The Future Of Healthcare