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Machine learning, or ML, as abbreviated, has gone from being a very specialized topic in recent years to arguably one of the biggest buzzwords in the professional job-search sphere. Here are some of the best machine learning certifications to help boost one's career.
Google's certification is perfect for anyone who wants to become familiar with designing, creating, and scaling machine learning models. This program comes from Google Cloud, and the course is recognized by the industry as crucial for learning data engineering, designing ML, and deploying ML models.
The exam is designed to be challenging, but it's well worth it: a report by Google showed that professionals certified by Google Cloud tend to earn around 20% more than their peers. This is a great choice for professionals who want hands-on experience with Google's ML tools and gain credibility from one of the biggest names in tech.
Azure AI Engineer Associate is a course designed to provide strategy and tools for machine learning and artificial intelligence solutions for all Microsoft technology followers.
Azure is one of the most famous cloud solutions among corporate companies, and Microsoft is the leading developer of cloud technologies. Azure grew by 31% year over year in 2023. Thus, this certification would be valuable for those who want to hone their skills and work with mammoth organizations leveraging Microsoft's environment.
While not a machine learning certification, the IBM Data Science Professional Certificate offered on Coursera includes fundamental Machine Learning lessons and elements. Created by IBM, the program comprises nine courses covering Python, data visualization, and several machine-learning methods.
IBM's certification is well-suited for beginners who want a solid data science and machine learning foundation. The practical courses offer exercises and projects that help learners build a real-world portfolio, which is invaluable when applying for jobs.
AWS is the biggest provider of cloud services, and the machine learning speciality has become one of the most recognizable. This certification goes even further in specifics of AWS's ML services, of which SageMaker is a favoured platform for ML model construction and deployment.
According to the Global Knowledge 2023 IT Skills and Salary Report, AWS-certified employees are among the best paid in the technology industry, with the majority earning more than $130,000. This certification is well suited for people with some ML knowledge who want to become experts in Amazon's environment.
The Machine Learning specialization offered by Stanford University's Andrew Ng on Coursera is also very popular. The specialization includes crucial topics such as neural networks and deep and unsupervised learning. While it is not a conventional certificate, it is highly regarded in the industry, and most employers are conversant with Stanford University and Andrew Ng.
All certifications have advantages, and the decision is made based on the set objectives, the level of technical knowledge, and the preferred environment. In particular, selecting the corresponding certificate from these companies is more reasonable for those interested in finding a job in certain ecosystems, such as Google Cloud, AWS, and Azure. IBM or Stanford services may work best for those who want to gain more basics since they provide a basic course on AI.
A machine learning certification is a great choice for anyone new to the field or looking to advance their career.
