6 Machine Learning Certificates To Pursue In 2022

The field of machine learning certification might be perplexing. Many online choices provide a certificate in return for completing a course or passing a test. The quality of these credentials and the level of trust with companies vary greatly. Let’s go through five of the top certification alternatives available today that can truly demonstrate your skills to your next job.

Machine learning courses have become a foundation of every technological and commercial area in recent years, leading to a growing need for AI specialists worldwide. An AI certificate is for you if you want to join the movement and contribute to the success and growth of AI.

There are plenty of online and in-person certificate courses available to validate your AI skills, but not all of them are made equal. Some take a broad approach, while others are more particular. We’ve put up a list of 6 AI certificate programmes to assist you in getting started on your professional path in 2022.

What are the benefits of obtaining a machine learning certification?

If you’re searching for a job in machine learning, you’ll want to make your résumé or CV stand out, and a machine learning certification can help. In reality, certificates are valued differently by different businesses and cultures. Many firms in the United States will place a greater emphasis on your professional experience and formal education. On the other hand, certification might be pretty significant in other nations. Many of the students in my machine learning course, for example, are from India. Your hiring manager’s understanding of the information and value that comes with certification may also influence how much your certification helps.

Machine learning is an AWS recognised speciality

Big tech corporations like Amazon, Microsoft, and Google offer many of the most well-respected machine learning credentials. Whereas these certificates have indisputable brand recognition and authority, they tend to focus on the technology supplied by the exam provider. As a result, you should conduct your research and determine which cloud platform your future companies use.

You’ll need a comprehensive and deep understanding of AWS to pass the AWS Certified Machine Learning expert test. However, the exam also assesses your overall understanding of machine learning training and artificial intelligence (AI), as well as the complexities of training these systems and feature engineering. It’s more than simply an AWS test, which adds to its value.

Developer credential for TensorFlow

Even if not a comprehensive certification in machine learning, this Google test will demonstrate that you can use TensorFlow to develop deep learning systems. TensorFlow is a popular framework for creating artificial intelligence models.

Deep learning has largely replaced machine learning in recent years, and any organisation utilising TensorFlow will benefit from this highly technical certification. It is also a reputable certification because it bears Google’s name.

The TensorFlow Developer Certificate is also unique in that it is reasonably priced while covering a wide range of topics.

Engineer specialising in machine learning

This certification is comparable to the AWS certification, although it focuses on Google’s cloud platform rather than Amazon’s. The Professional Machine Learning Engineer certification, like the AWS certification, comprises multiple-choice or multiple-selection questions. Some of the test questions are unique to Google’s platform, but the majority of them aren’t. Google, like Amazon, is a well-known brand, and employers are familiar with its credentials.

The AWS test is longer and more expensive than the Professional Machine Learning Engineer exam.

Azure AI Fundamentals (Microsoft Certified)

If your present or potential employer is a Microsoft partner, Azure is used to providing the cloud computing resources that machine learning requires. If that’s the case, the Azure AI Fundamentals certification exam might be ideal for you. It specialises in its cloud platform, just as the AWS exam, but it also examines your broad understanding of machine learning, artificial intelligence, and data engineering.

The Azure AI Fundamentals certification is for novices, while the AWS Certified Machine Learning expert exam is for experienced technicians and contains advanced subjects. There are solely multiple-choice questions on the exam, which lasts 60 minutes. Put it another way; the Azure AI Fundamentals certification shows an employer that you understand how to use Azure’s services to solve machine-learning challenges. It does not demonstrate that you are an expert in machine learning.

Professional Certificate in IBM Machine Learning

This IBM professional certificate is for anybody interested in gaining skills and experience in machine learning training to pursue a career in the field. This curriculum consists of six courses that provide students with a thorough theoretical knowledge and hands-on experience with the essential methods, applications, and best practices in machine learning. After completing this course, learners will obtain a digital Badge from IBM recognising machine learning expertise.

Engineer for artificial intelligence

Because it is the least well-known, the Artificial Intelligence Engineer certification issued by the Artificial Intelligence Board of America (ARTiBA) sits at the bottom of this list. Compared to tests provided by Amazon, Microsoft, and Google, it is less well-known. For a 90-minute test, it’s also pricey. Yet, you must apply for this certification in more than simply an exam, and your exam results are only one component of it. Based on your experience and education, you can earn one of three certification levels.

Machine learning is dominated by AI these days. Thus a broad machine learning certification connected to a particular technology stack might be beneficial. Many businesses, however, are unfamiliar with the Artificial Intelligence Engineer qualification. This certification may be less trustworthy than the others until they are. Furthermore, the exam content may be obsolete and less demanding than currently available.

Selecting a Certification

Employers can trust that you know what you’re talking about when it comes to machine learning and that you can apply your knowledge to real-world challenges if you pass these standardised examinations. You should select an exam depending on your potential job’s technology.

It’s also worth noting that there might be several technologies. TensorFlow may be used within Amazon Web Services, for example. Obtaining both of those certificates, therefore, would be remarkable to employers. Whatever path you choose, online learning tools can help you prepare for these tests and increase your chances of passing the first time.