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Highest Paying AI Certifications Available In 2021

August 20, 2021
Highest-Paying-AI-Certification

AI certification courses are now available.

From non-technical to technical, almost everyone is interested in knowing more about AI and online certification programmes can be very effective in this case. Here are some of the best certification programmes on AI.

Stanford Machine Learning Course: Coursera

This Stanford Machine Learning Course has been created by Andrew Ng, the most renowned expert in AI and Machine Learning, co-founder of Coursera, founding lead of Google’s deep learning research unit Google Brain, former head of AI at Baidu, and currently CEO at Landing AI. The popularity of this ML course can be gauged from the fact that around 3.5 million students and professionals have already taken this course and 93% of them have given it a 5-star rating. Undoubtedly, AI experts often cite this course as the single most important resource for anyone looking to learn AI and ML. This course introduces learners to the core ideas of machine learning, data mining and statistical pattern recognition. It imparts them a good grounding in the mathematical, statistical, and computer science fundamentals that form the basis of automated learning machines.

Deep Learning Specialization by Andrew Ng: Coursera

The part of AI that is rising rapidly and driving a lot of developments and transformations that AI is touted for is Deep Learning. This Coursera Deep Learning specialization created and taught by Andrew Ng is a more advanced course series for those looking to learn about AI and deep learning, how to apply it to solve problems and build a career in Artificial Intelligence. Since it is not an entry level program, learners are expected to have Python programming and mathematics skills and some knowledge and experience in machine learning. This specialization is in fact cited as the next logical follow up to Andrew Ng’s Machine Learning course on Coursera. This is a five-course specialization where students learn the important technical skills and tools of deep learning.

IBM Applied AI Professional Certificate

This Professional Certificate program in Artificial Intelligence has been created by IBM, the global leader in Tech and one of the pioneers in AI innovation. It is aimed for those who want to learn the skills to work as AI developers. It imparts a firm understanding of AI, its applications and use cases. It introduces learners to concepts and tools like machine learning, data science, natural language processing, image classification, image processing, IBM Watson AI services, OpenCV, and APIs. Students also learn to get started with using pre-built Artificial Intelligence smarts without having to create AI models and backends from scratch. This is a beginner level AI Certification comprising 6 courses and can be taken by learners with both technical and non-technical backgrounds.

Artificial Intelligence Programme from Columbia University

This Artificial Intelligence Certification program is offered by Columbia University, via the edX platform. It is a very rigorous, graduate-level professional program that represents 25% of the coursework towards a Master’s degree in Computer Science at Columbia. The program consists of a series of 4 courses that serve as a foundation of expertise in artificial intelligence and machine learning and two of its key applications – robotics and computer animation.

Udacity Artificial Intelligence Programme

Udacity is offering multiple Nanodegree programs in its School of Artificial Intelligence. Nanodegrees are very extensive programs comprising of a larger course of study, usually presented in partnership with leading companies or universities. For those who want to make a career in AI, there are some excellent, powerful, career-centered programs that can be very helpful to advance in the field of AI by spending as little as 8-10 hours per week. There are choices for every level of knowledge and experience from complete beginner focused programs to those intended for more advanced learners.

Source: analyticsinsight.net

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