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7 Top AI Certifications | Enterprise Networking Planet


According to Precedence Research, the artificial intelligence (AI) market will grow at a CAGR of 38.1% from 2022 to 2030 and exceed a market value of US$ 1,597.1 billion by 2030.

The only impediment to this growth is an acute shortage of AI experts. The industry is snowballing, and AI professionals are in high demand. An AI certification can help you get ahead if you’re just joining the workforce. You can also use AI certifications to validate your skills and expertise to potential employers.

AI certifications are also beneficial if you’re already working in the AI industry and looking to move up the career ladder. They can help you develop new skills and knowledge, stay up-to-date with the latest trends, and make you more marketable to employers.

But with so many AI certification courses available, it can be tough to know which one is right for you. The following will cover the top AI certifications to help you choose the right one for your career.

Also see: 9 Ways AI Can Help Improve Cloud Management

Are AI Certifications Worth It?

AI certifications are becoming increasingly popular as the demand for AI professionals grows. But are they worth it?

An AI certification can help you stand out from the crowd. With so many people competing for jobs in the tech industry, anything that can give you a leg up is worth considering. An AI certification will show potential employers you have the skills and knowledge to work with this cutting-edge technology.

An AI certification can also help you keep up with the latest advancements in this rapidly changing field. Pursuing certification will ensure you are always up-to-date on the latest trends and best practices.

Moreover, an AI certification can open up new career opportunities. As businesses become more reliant on AI technology, there will be an increasing demand for workers with expertise in this area. Pursuing certification can position you to take advantage of these new opportunities.

Also see: What is Software-Defined Networking 

What Can I Do With an AI Certification?

An AI certification will allow you to master fundamental concepts of machine learning (ML) and deep learning. In addition, you’ll be able to use programming languages like Python to solve industry problems involving predictive modeling, natural language processing (NLP), computer vision, image and video processing, and reinforcement learning.

You’ll also learn how to work with AI libraries like ScikitLearn, Pandas, and SciPy and platforms like TensorFlow, Keras, and PyTorch. In addition, you’ll gain an understanding of AI ethical and legal issues.

With an AI certification, you’ll be prepared for a wide range of AI-related careers such as data science, machine learning engineering, software engineering, research scientist, and business intelligence.

Also see: Top Software Defined Networking Solutions

7 Best AI Certifications

As cited by multiple sources, below are seven of the best online and self-paced AI certifications you can take in 2022.

Some of these courses have no learning requirements and are intended to give IT experts and novices the basic understanding and practical abilities needed to address real-world AI issues. On the other hand, some are best suited for IT professionals with some AI and ML knowledge who wish to expand their expertise and stay up with the newest developments.

1) Learn with Google AI

If you’re looking to get started with AI, Google’s AI education portal is a great place to start. This free course will teach you the basics of AI and machine learning, including how to build models, make predictions, and improve your results.

You’ll also find tips and assignments to help you master your abilities and advance your projects if you’re a seasoned machine learning expert.

The portal has filters that allow you to specify your professional field, for example, data researcher, software engineer, business decision-maker, student, etc. You can also select the type of study content you’re interested in and your stage of ML development.

Course Content:
As mentioned above, the portal has a filter that allows you to specify your professional field and the type of content you’re interested in. The course content, therefore, differs depending on your area of study and competence level. For example, one of the videos, The Seven Steps of Machine Learning, walks novices through the basic process of building machine learning models.

On the other hand, if you’re a software engineer with some AI experience and looking to construct an ML model, you might be interested in the Machine Learning Crash Course with TensorFlow APIs, a more intensive technical course.

Duration: Google AI’s training courses are self-paced.

Pricing: The course can be completed at no cost.

2) Artificial Intelligence A-Z: Learn How To Build An AI (Udemy)

This course is a bestseller on Udemy and is designed for those who want to learn how to build AI applications from scratch. You’ll learn about the different types of AI algorithms, selecting the right datasets for training models, and deploying AI applications.

The prerequisites are high school mathematics and basic Python programming knowledge.

Course Content:
The course has 19 sections comprising a total of 130 lectures of the following modules:

Build an AI
Understand the theory behind artificial intelligence
Design a virtual self-driving vehicle
Create an AI that can win online games
Use AI to solve real-world problems
Master the state of the art AI models
Q-Learning
Deep Q-Learning
Deep convolutional Q-Learning
A3C
Duration: The course can be completed at your own pace but is designed to be completed in 17 hours. As with most Udemy courses, you have lifetime access to the course once you sign up, and you’ll get a certificate of completion at the end.

Pricing: The usual fee is $84.99, but Udemy regularly runs promotions with discounts of up to 85%. Udemy also offers a 30-day money-back guarantee.

3) Master the Fundamentals of AI and Machine Learning (LinkedIn Learning)

This LinkedIn course is designed for those who want to learn the basics of AI and machine learning. You’ll explore the science behind AI, machine learning, and cognitive computing. In addition, you’ll discover how major businesses are employing AI and machine learning to revolutionize their business models and how the next generation of thinking about artificial intelligence is addressing accountability, security, and explainability concerns.

Course Content:
The course has 10 modules as follows:

AI Accountability Essential Training
Artificial Intelligence Foundations: Machine Learning
Artificial Intelligence Foundations: Thinking Machines
Artificial Intelligence Foundations: Neural Networks
Cognitive Technologies: The Real Opportunities for Business
AI Algorithms for Gaming
AI The LinkedIn Way: A Conversation with Deepak Agarwal
Artificial Intelligence for Project Managers
Learning XAI: Explainable Artificial Intelligence
Artificial Intelligence for Cybersecurity
Duration: The course can be completed at your own pace but is designed to be completed in 14 hours. You also get a certificate of completion at the end. The course also qualifies for official academic credit at select LinkedIn partner universities worldwide.

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