The editors at Solutions Review have compiled this list of the best Coursera machine learning certifications to consider exploring.
Machine learning involves studying computer algorithms that improve automatically through experience. It is a sub-field of artificial intelligence where machine learning algorithms build models based on sample (or training) data. Once a predictive model is constructed it can be used to make predictions or decisions without being specifically commanded to do so. Machine learning is now a mainstream technology with a wide variety of uses and applications. It is especially prevalent in the fields of business intelligence and data management.
With this in mind, we’ve compiled this list of the best Coursera machine learning certifications if you’re looking to grow your skills for work or play. Coursera is one of the top online education platforms in the world, partnering with more than 200 universities and companies to provide a range of learning opportunities. The platform touts more than 77 million learners around the globe. This list of the best Coursera machine learning certifications below includes links to the modules and our take on each.
The Best Coursera Machine Learning Certifications
OUR TAKE: With more than 46,000 reviews and 4.6 stars, this self-paced Coursera certificate course is one of the most popular on the web. No degree or prior experience is required to get certified in Python, SQL and data visualization.
Description: Data science is one of the hottest professions of the decade, and the demand for data scientists who can analyze data and communicate results to inform data-driven decisions has never been greater. It’s a myth that to become a data scientist you need a Ph.D. Anyone with a passion for learning can take this Professional Certificate – and develop the skills, tools, and portfolio to showcase your new talents in the job market as an entry-level data scientist.GO TO TRAINING
OUR TAKE: This University of Chicago certification module will show you how to master AI algorithms, data mining techniques, and predictive analytics in as little as five months.
Description: Data analytics and data science positions are growing exponentially across a variety of industries. With this online certificate program, you’ll study at the graduate level to gain the knowledge you need to advance in your career. You’ll learn to apply mathematical theory and decision-making techniques that are vital to solving business problems through real-world projects designed by instructors.GO TO TRAINING
OUR TAKE: This intermediate-level IBM module provides certification for an array of machine learning techniques and takes approximately 6 months to complete at a suggested pace of 3 hours per week.
Description: This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Machine Learning and leverage the main types of Machine Learning: Unsupervised Learning, Supervised Learning, Deep Learning, and Reinforcement Learning. It also complements your learning with special topics, including Time Series Analysis and Survival Analysis.GO TO TRAINING
OUR TAKE: Advance your career as a cloud machine learning engineer with this intermediate-level certificate program, powered by Google Cloud. The training can be completed via flexible deadlines and takes roughly 8 months to complete.
Description: This specialization incorporates hands-on labs using Google’s Qwiklabs platform. These hands-on components will let you apply the skills you learn in the video lectures. Projects will incorporate topics such as Google Cloud Platform products, which are used and configured within Qwiklabs. You can expect to gain practical hands-on experience with the concepts explained throughout the modules.GO TO TRAINING
OUR TAKE: This popular, intermediate-level DeepLearning.AI TensorFlow Developer certification touts nearly 16,000 reviews and 4.7 stars, making it one of the top-rated machine learning modules on the web.
Description: TensorFlow is one of the most in-demand and popular open-source deep learning frameworks available today. The DeepLearning.AI TensorFlow Developer Professional Certificate program teaches you applied machine learning skills with TensorFlow so you can build and train powerful models. In the DeepLearning.AI TensorFlow Developer Professional Certificate program, you’ll get hands-on experience through 16 Python programming assignmentsGO TO TRAINING
OUR TAKE: This 100-percent online machine learning certification is sponsored by Arizona State University and takes roughly 6-to-9 months to complete. It also features five hands-on projects.
Description: In this program, you will complete a real module from the online Master of Computer Science program that will help you understand artificial intelligence through a combination of both theory and practice. Through a series of interactive lectures and team-based projects, you will explore how machines learn in the form of learning paradigms.GO TO TRAINING
OUR TAKE: This beginner-focused AI certificate module is sponsored by IBM and takes roughly 6 months to complete at the suggested pace of 3 hours per-week. The training also offers multiple language support.
Description: This program will give you a firm understanding of AI technology, its applications, and its use cases. You will become familiar with concepts and tools like machine learning, data science, natural language processing, image classification, image processing, IBM Watson AI services, OpenCV, and APIs. In addition to earning a Professional Certificate from Coursera, you’ll also receive a digital badge from IBM recognizing your proficiency in applied AI.GO TO TRAINING
OUR TAKE: This module will provide certification for deploying machine learning algorithms and pipelines on Apache Spark, implementing supervised and unsupervised machine learning models in SciPy and ScikitLearn, and building deep learning models.
Description: This 6-course Professional Certificate is designed to equip you with the tools you need to succeed in your career as an AI or ML engineer. Through hands-on projects, you’ll gain essential data science skills scaling machine learning algorithms on big data using Apache Spark. You’ll build, train, and deploy different types of deep architectures, including convolutional neural networks, recurrent networks, and autoencoders.GO TO TRAINING
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