The Top 5 Machine Learning Certifications For 2022
The Top 5 Machine Learning Certifications for 2022
Machine learning certification is a difficult field to navigate. A plethora of online options provide certificates in exchange for completing a course or passing an exam. Here is a look at five of the best certification options available today that will truly demonstrate your knowledge to the next person you will be reporting to.
1. AWS certified machine learning specialty
Amazon, Microsoft, and Google are just a few of the technology companies that offer some of the most prestigious machine learning certifications. Despite the fact that these certifications are unquestionably well-known and authoritative, they tend to be focused on the technologies offered by the company that administers the examination. Consequently, you must conduct due diligence and determine which cloud platform your prospective employers are using before accepting a position. As a result, the AWS Certified Machine Learning Specialty exam is ranked first on this list, indicating that it is most likely Amazon Web Services (AWS).
In order to pass the AWS Certified Machine Learning Specialty exam, you must have a solid understanding of AWS infrastructure. The exam, on the other hand, tests your general understanding of machine learning and artificial intelligence (AI), as well as your understanding of the nuances of training and feature engineering. It is more than just an AWS exam, which adds to its overall value.
2. Microsoft Certified: Azure AI fundamentals
If your current or prospective employer is a Microsoft shop, it is possible that they will use Azure to provision the cloud computing resources necessary to perform machine learning. If this is the case, you may want to consider taking the Azure AI Fundamentals certification exam. Like the AWS exam, it is platform-specific but also assesses your general knowledge of machine learning, artificial intelligence, and data engineering concepts, as well as your ability to apply them.
In contrast to the AWS Certified Machine Learning Specialty exam, which is intended for advanced technologists, the Azure AI Fundamentals exam is intended for beginners. The examination will last 60 minutes and will consist solely of multiple-choice questions, with no short answer options available. Instead, the Azure AI Fundamentals certification demonstrates to an employer that you are familiar with the concepts of applying Azure's machine-learning services to real-world problems.
3. Professional machine learning engineer
This certification is similar to the AWS certification, but it is specific to Google's cloud computing platform. Similar to the Amazon Web Services (AWS) certification, the Professional Machine Learning Engineer certification consists of multiple-choice or multiple selection questions. While some of the exam questions are specific to a particular platform, the vast majority are not. Employers generally consider this certification to be credible, just as they do with Amazon because Google is a well-known brand.
When compared to the AWS certification examination, the Professional Machine Learning Engineer examination is shorter and less expensive (200 USD).
Design and implementation of large-scale real-world systems are the primary focus of this examination. It also goes over the difficulties that come with maintaining and tuning those types of systems. Taking this exam and simply studying for it will teach you a great deal about Google's approach to these issues, as well as help you become a more effective engineer.
4. TensorFlow developer certificate
This exam, offered by Google, verifies your ability to build deep learning systems using the TensorFlow framework, despite the fact that it is not a general machine learning certification. TensorFlow is a programming framework for developing artificial intelligence models that is extremely popular.
Deep learning has largely taken the place of machine learning in recent years, and this highly technical certification will undoubtedly be valuable to any company that employs TensorFlow. Furthermore, because it bears the Google logo, it is regarded as a reliable certification.
Additional to this, it is a one-of-a-kind certification in that it is reasonably priced (100 USD) while still covering a substantial amount of material. Take a break, eat something, and go to the bathroom first! You have five hours to complete it. It is not merely a series of multiple-choice questions, as some may believe. In fact, it is expected that you will construct authentic TensorFlow models in order to solve exam problems using the framework. Furthermore, it is an open-book environment, which means that you can develop your solutions using whatever resources you would normally use in the real world.
It is true that the TensorFlow Developer Certificate does not cover the entirety of machine learning, but it does cover a crucial component of it.
While studying for and passing the TensorFlow Developer Certificate exam will take a significant amount of time and effort, the certification has significant value in the eyes of employers — even if it only covers a very narrow skill set.
5. Artificial intelligence engineer
Because of its relative obscurity, the Artificial Intelligence Engineer certification, which is offered by the Artificial Intelligence Board of America (ARTiBA), is listed last on this list. In comparison to Amazon, Microsoft, and Google exams, it is recognized by a smaller number of companies. Aside from that, it is extremely expensive (550 USD for a 90-minute exam). You must submit an application for this certification, and your exam results are only one component of that application. Depending on your previous experience and education, you can earn one of three certification levels.
While machine learning (ML) and artificial intelligence (AI) are concepts that are related, they are not the same thing as one another. Nonetheless, machine learning is increasingly dominated by artificial intelligence, and a general AI certification that is not tied to a specific technology stack can be beneficial. Although many employers are aware of the Artificial Intelligence Engineer certification, many are not familiar with the profession. This certification may carry a lower level of trust than the others until they are fully validated. Also possible is that the exam content is outdated and less challenging than that found on other certification exams.
What are the benefits of obtaining a machine learning certification?
You'll want to make your resume or curriculum vitae as appealing as possible if you're looking for work in machine learning, and a certification can assist you in doing so. In reality, different employers and cultures place varying amounts of value on certifications. Many companies will place a higher value on your professional experience and formal education than they would elsewhere. Certification, on the other hand, may be significantly more important in other countries. Take, for example, the fact that a large proportion of students enrolled in my machine learning certification preparation course are from India. You may also benefit from your certification to a greater or lesser extent depending on how well your hiring manager understands the knowledge and value associated with the certification
The best certifications, on the other hand, are not easily obtained. If you have no prior experience with machine learning, plan on spending approximately a month studying for the exam and several hours taking it to achieve your certification. Additionally, you should plan on spending a few hundred dollars on exam fees and study materials, as well.
Obtaining a certification in machine learning, on the other hand, can't hurt. It may be beneficial, and you will almost certainly advance in your career as a machine learning engineer as a result of the additional learning and preparation required for this position. A wide range of real-world scenarios and issues are covered in these examinations. It's likely that you'll come across some new ones while studying.
