- Level Professional
- Course by IBM
-
Offered by
About
Prepare for a career in the field of machine learning. In this program, you’ll learn in-demand skills like AI and Machine Learning to get job-ready in less than 3 months. Machine Learning is the use and development of computer systems that are able to learn and adapt by using algorithms and statistical models to analyze and draw inferences from patterns in data. Machine Learning is a branch of Artificial Intelligence (AI) where computers are taught to imitate human intelligence in that they solve complex tasks. Roles available to those proficient in Machine Learning include machine learning engineer, NLP scientist, and data engineer. This program consists of courses that provide you with a solid theoretical understanding and considerable practice of the main algorithms, uses, and best practices related to Machine Learning. Topics covered include Supervised and Unsupervised learning, Regression, Classification, Clustering, Deep learning and Reinforcement learning. You will follow along and code your own projects using some of the most relevant open-source frameworks and libraries, and you will apply what you have learned in various courses by completing a final capstone project. Upon completion, you’ll have a portfolio of projects and a Professional Certificate from IBM to showcase your expertise. You’ll also earn an IBM Digital badge and will gain access to career resources to help you in your job search, including mock interviews and resume support.Auto Summary
Embark on a career in Machine Learning with IBM's comprehensive program, offered by Coursera. Designed for Data Science & AI enthusiasts, this course covers essential topics such as Supervised and Unsupervised Learning, Regression, Classification, Clustering, Deep Learning, and Reinforcement Learning. Taught by industry experts, it combines theoretical knowledge with practical projects using key open-source frameworks. Complete the program in under 3 months and earn a Professional Certificate and IBM Digital Badge. Subscription options include Starter and Professional tiers, ideal for those seeking roles like machine learning engineer or data engineer.

Joseph Santarcangelo

Svitlana (Lana) Kramar

Mark J Grover

Miguel Maldonado

Xintong Li

Kopal Garg

Yan Luo

Artem Arutyunov