Top machine learning certifications that will get you hired

Going to college is one way to get the education you need to do a specific job. However, this path isn’t always ideal for everyone. Earning a certification can help you learn what you need to know to perform your role. It’s also necessary for those with a degree to earn a certification to keep up with advancements in their industry. For machine learning, there are many certifications available. Read on to review what machine learning is, who might need a certification for this field, and the machine learning certifications that are available.

What is machine learning?

Machine learning is when artificial intelligence is given data and programmed with algorithms that allow it to make predictions based on that data. It requires programming the system at first, but eventually, the AI can learn to recognize patterns and trends. This will lead it to perform tasks like a human does, meaning it won’t need to be programmed to do each thing it’s designed for. Many companies are interested in machine learning, making this a rapidly growing profession.

Because machine learning has many applications, mastering it can prove challenging. This means employers might be looking for candidates with more than just programming skills and theoretical knowledge. Earning a machine learning certification can help you stand out as a job candidate so you can get the job you want.

Who needs a machine learning certification?

A machine learning certification might not be a requirement for the role you’re applying for, but by earning one, you can show an employer your dedication to the field. Some jobs where a machine learning certification can help you excel include:

• Machine learning researchers
• Business intelligence developers
• Data scientists
• Data miners and analysts
• Software engineers
• Computational linguists

This is a lucrative career field in a growing industry, so putting money toward your education in machine learning can reap a lot of benefits in the future. Sign up for email alerts through CareerBuilder to discover incredible opportunities in machine learning before anyone else hears about these open positions.

Machine learning certifications

Consider earning one or more of the following machine learning certifications to help make your resume stand out:

IBM Machine Learning Professional Certificate

IBM is a leader in the technology industry, and they offer the IBM Machine Learning Professional Certificate completely online. In this program, you’ll gain a solid theoretical understanding of machine learning over six courses. By the end of the program, every student will understand machine learning best practices and have applied their newly acquired skills to real-world uses. A few of the skills you’ll gain include:

• Regression analysis
• Statistical hypothesis testing
• Exploratory data analysis
• Supervised learning
• Feature engineering
• Decision tree

Throughout the program, you’ll be exposed to a variety of tools, libraries, data sets, algorithms, and projects that allow you to put what you learn to use.

“This is a lucrative career field in a growing industry, so putting money toward your education in machine learning can reap a lot of benefits in the future.”

Machine Learning Cornell Certificate Program

To earn the Machine Learning Cornell certificate, you’ll need to complete nine courses over three to five months. This certificate is offered completely online to make it convenient for you. This certificate program equips you with the knowledge you’ll need to implement machine learning algorithms using Python. Throughout the program, you’ll have the opportunity to practice debugging and improving models using ensemble methods and support vector machines. Some key takeaways from this program are:

• Improving linear algebra skills needed for machine learning
• Implementing an email spam classifier
• Performing model selection for finding an algorithm to solve a problem
• Converting linear classifiers into nonlinear classifiers
• Constructing and training deep neural networks

Although this certificate doesn’t require any prerequisite, instructors do recommend that those who take the program have a familiarity with Python, probability theory, statistics, linear algebra, and multivariate calculus.

AWS Machine Learning – Specialty

The AWS Machine Learning – Specialty certificate is offered through Amazon. Although there are no prerequisites to earn this machine learning certificate, it’s aimed at those with at least two years of experience with programming and algorithms. All you’ll need to do to obtain your AWS certificate is pass an exam. The exam features both multiple-choice and multiple-response format questions. You can find study materials and a sample test online, which can help you prepare. A few of the recommended courses to take before going ahead with the exam include:

• The machine learning pipeline on AWS
• The elements of data science
• Deep learning on AWS
• Practical data science with Amazon SageMaker

Machine Learning Certification from Stanford

You can earn the Machine Learning Certification from Stanford online through Coursera. With instruction from the founder of Coursera, Andrew Ng, this course provides a wide range of knowledge to all who participate. In addition to giving you the theoretical concepts needed to excel in a machine learning role, this course also ensures you get experience with data mining and statistical pattern recognition. This is a highly rated certificate and features topics such as:

• Support vector machines
• Dimensionality reduction
• Kernels
• Bias/variance theory
• Recommender systems

In case you need it, this certificate also offers a refresher course in linear algebra.

Advanced Machine Learning Specialization by HSE

If you’re interested in a certificate program that can fill the gap between machine learning theory and practice, then the Advanced Machine Learning Specialization program by HSE is for you. In this program, you’ll take seven courses that are dedicated to teaching you the practical side of using machine learning. To take this course, it’s recommended that you have at least some experience with:

• Machine learning
• Probability theory
• Linear algebra
• Calculus
• Python

Some of the topics the courses for this program cover include deep learning in computer vision, Hadron Collider challenges, and natural language processing.

Machine Learning with Python

With a focus on machine learning using the Python programming language, you’ll learn a lot of the basics of the Machine Learning with Python program. It’s offered by IBM through Coursera, so you can complete it online and at your own pace. The program takes approximately eight weeks to complete and has two main components: the purpose of machine learning and its real-world applications and techniques for supervised and unsupervised learning as well as model evaluation and algorithms. Key takeaways for this certificate course include:

• Using libraries to build machine learning models
• Learning regression, classification, clustering, and SciPy
• Practicing with classification algorithms
• Working on real-world projects

To complete the course and officially earn your certification, you’ll need to submit a project that demonstrates you learned the course materials.

Obtaining a certificate can help you advance in your role or stand out as a job candidate. By completing a machine learning certification program, you’ll gain the knowledge you need to help you better understand this complex field.

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Thanks to the internet, you can take steps to improve your skills right from the comfort of your own home.