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.
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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.
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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.
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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.
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.
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.
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.
The course has 19 sections comprising a total of 130 lectures of the following modules:
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.
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.
The course has 10 modules as follows:
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.
Pricing: To enroll, you need to sign up for a one-month LinkedIn Learning trial and pay a monthly subscription of $29.99 thereafter. You can cancel at any time.
This course by UC Berkeley is targeted at senior business leaders, including C-suite executives, who plan to implement AI in their business strategy. It is also helpful for data scientists, analysts, and functional business heads interested in exploring how AI can improve business intelligence and analytics.
The course is designed as an AI primer focusing on AI applications in business rather than the technology itself. Therefore, it requires no technical prerequisites.
The course has eight modules as follows:
The course culminates in a Capstone Business Challenge Project that applies AI to transform at least one aspect of your business.
Duration: The course has a duration of two months, assuming four to six hours of online learning are done per week. Upon completion, you get a certificate of completion from Berkeley.
Pricing: The course cost is $2,800 (10% discount if you sign up via a referral), including all course materials.
This AI course on Coursera is designed for non-technical business professionals such as product managers, marketing managers, and startup founders. The course is taught by Andrew Ng, founder of DeePLearning.Ai, co-founder of Coursera, and an AI expert.
The course aims to help you understand AI’s key concepts, applications, and ethical implications. By the end of the course, you should be able to identify potential areas where AI can significantly impact your business.
The course has four modules:
Duration: AI For Everyone takes approximately 12 hours online to complete. As with most Coursera courses, you get a shareable digital certificate at the end of the course.
Pricing: You can read and audit the course free but for credit, you must pay the Course Certificate Fee of $49.
TensorFlow is a popular open-source AI library for dataflow programming used in research and production by major companies such as Google, Facebook, IBM, and Netflix.
It is available on Coursera and is designed to teach software engineers how to use TensorFlow to implement machine learning and deep learning algorithms. The course uses a hands-on approach and requires some Python programming experience.
The course has four modules:
Duration: TensorFlow’s course lasts approximately 18 hours online with a shareable digital certificate at the end of the course.
Pricing: You can audit the course free but will need to pay $49 if you want a Course Certificate.
This AI certification program from Coursera and IBM is designed for software developers, data scientists, and AI engineers who want to apply AI to business problems.
The topics covered in this Professional Certificate in AI from IBM will equip you with the skills and knowledge you need to write smart applications using existing AI services and APIs, with little to no coding required. You’ll learn about machine learning, natural language processing, image classification, data science, image processing, APIs, OpenCV, and IBM Watson AI services.
The courses will also teach you to incorporate pre-developed AI knowledge into your products and solutions. By the end of the IBM Applied AI Professional Certificate, you will have developed several projects demonstrating your ability to apply AI and create AI-powered solutions. This Professional Certificate is a great way to learn the basics of AI and develop the skills you need to create your own AI-powered applications.
In addition to obtaining an AI Professional Certificate from Coursera, you’ll get an IBM digital badge proving your expertise in applied AI. The course also earns you credits towards a Bachelor of Science in Computer Science degree at the University of London.
The course has six modules:
Duration: The course lasts approximately 12 hours online with a shareable digital certificate at the end of the course.
Pricing: You can audit the course free for seven days and pay $39 per month after the trial ends.
The best AI certification course for you will depend on your goals, objectives, and budget. For example, if you’re looking for a working knowledge of the basics of AI and ML in a business setting, Andrew Ng’s AI for Everyone course is the best place to start. And, if you’re looking to learn how to build an AI application from scratch, then an introductory course like Udemy’s Artificial Intelligence A-Z course is the right fit.
On the other hand, if you’re a software engineer with some experience in Python looking to get started with AI and machine learning, then a course like Coursera’s Introduction to TensorFlow for AI, ML, and DL might be a better fit.
And finally, if you’re looking for an AI certification that covers both the theoretical and practical aspects of AI, then the IBM Applied AI Professional Certificate could be the right choice.
No matter which AI certification course you choose, ensure it’s from a reputable source and covers the topics you’re most interested in. With so many different AI certifications available, there’s sure to be one that’s the perfect fit for you.
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