Best Artificial Intelligence (A.I) Courses

Best Artificial Intelligence Course

The future of the planet is AI. Nowadays, most apps and websites’ features are powered by AI. In recent years, they have also been utilised to place your face on various characters in gaming and non-gaming apps. They are also used for facial recognition locks, registering and validating your security for transactions. Artificial intelligence is the key to making all of this possible.

Artificial intelligence is a valuable skill, especially considering how popular it was during the dot-com boom a few years ago. Employers are looking for people with various abilities, especially those who can help their business move to the Next Generation.

The courses on artificial intelligence mentioned below may interest you if you’re interested in learning more about AI and machine learning.

Which Artificial Intelligence Course Is the Best?

We selected these courses based on the many criteria you can have for learning AI online. As a result, this list includes systems suitable for students with all levels of expertise. This is true whether you’re a novice, a software engineer, or a non-technical company owner. Let’s examine each of the leading choices in more detail.

1. ML by Stanford University

This Stanford Machine Learning Certification was created by Andrew Ng, co-founder of Coursera, founding leader of Google’s deep learning research unit Google Brain, previous head of AI at Baidu, and current CEO of Landing AI. It is an improved version of Andrew’s most well-liked machine learning course, which more than 4.8 million Coursera users have studied.

Given that 95% of those who reviewed it gave it a 5-star rating, almost 50K students and professionals signed up for this new, redesigned entire programme in AI and ML in the first few weeks of its launch illustrates how popular it is. According to AI experts, this curriculum is undoubtedly the most beneficial tool for anyone interested in learning AI and ML.

2. Deep Learning Specialization by Andrew Ng

One area of artificial intelligence that is rapidly expanding and responsible for many of the revolutions and advances that AI is praised for is deep learning. Anyone curious about learning about AI and deep learning, how to use it to solve problems, and how to build a career in AI should check out Andrew Ng’s Deep Learning specialisation on Coursera. Students should be comfortable with mathematics and Python programming and have some understanding of and experience with machine learning, as this is not a course for beginners. This speciality is the logical progression from Andrew Ng’s Coursera Machine Learning course.

3. IBM AI Engineering Professional Certificate

Another well-liked IBM artificial intelligence certificate programme is this one. It aims to give readers the information and resources they need to start working as AI or ML engineers. It is suitable for both students who seek to enter the sector with highly sought-after AI and ML skills and existing professionals such as AI developers and data scientists who want to upgrade their machine learning and deep learning capabilities.

Six self-paced courses make up the curriculum, which teaches learners about machine learning and deep learning concepts and how to use them in practical applications.

4. MicroMasters Program in Artificial Intelligence by Columbia University

Through the edX platform, Columbia University provides this artificial intelligence certification programme. 25% of the courses necessary for a Master’s in Computer Science at Columbia are from this graduate-level professional programme.

The programme comprises four courses that provide students with a foundational understanding of robotics and computer animation, two of AI and machine learning’s most essential applications.

5. Artificial Intelligence Nanodegree Programs

The School of Artificial Intelligence at Udacity offers many Nanodegree programmes. Nanodegrees are extensive programmes with a longer term of study that are frequently provided in association with leading businesses or academic institutions. Several excellent, successful, job-focused programmes are available to those interested in a career in artificial intelligence. With these programmes, you may advance your knowledge of AI in as little as 8–10 hours per week. Possibilities range from complete beginner programmes to those geared toward more experienced students, offering options for every level of knowledge and competence.

6. AI for Everyone by Andrew Ng

The majority of the material in this Andrew Ng Artificial Intelligence Course is non-technical, and it is planned for those who do not need to comprehend the technical aspects of AI fully but still want to learn how to use it more effectively in their businesses, implement AI projects, or work with an AI team. Engineers, programmers, and other technical professionals who want to learn about AI’s business applications will also find it an excellent training opportunity. Those who are unfamiliar with artificial intelligence will find it to be extensive and informative.

This artificial intelligence (AI) course begins with a thorough overview of AI before discussing the whole AI project process and how to develop an AI strategy for your company.

7. Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

The best tool for implementing machine learning and deep learning algorithms and ideas is TensorFlow, a well-known open-source machine learning framework. The TensorFlow in Practice Specialization at includes this TensorFlow course on Coursera.

This course is planned for software engineers who want to build scalable AI-powered algorithms in TensorFlow and have experience with Python coding and knowledge of machine learning and deep learning. It shows students how to use machine learning and profound learning principles using TensorFlow so they can start building and applying scalable models to real-world scenarios.

Final words

In the following years, AI may permeate virtually every aspect of our daily lives. You might say it’s already happening. Today’s technology that powers our telephones, transportation networks, and even medical equipment is affected by minor advancements and changes in artificial intelligence.

The secret to gaining access to the limitless possibilities that technology has always offered may lie in understanding what makes this field so fascinating and pertinent to contemporary issues. Although using technology to give our machines a more human touch has several adverse effects, these things are still the only tools that we utilise.

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