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Course
- AI
Foundations of Machine Learning Engineering
Machine learning and AI are rapidly growing fields. This course will teach you the fundamentals of machine learning, including the workflow and real-world challenges. This will give you the foundation for ML discussions and continuing the learning.
What you'll learn
Machine learning and AI are rapidly growing domains, and a foundational level of understanding is becoming valuable and even necessary across many industries. In this course, Foundations of Machine Learning Engineering, you’ll learn the basic concepts of machine learning engineering and how ML models are developed, deployed, and maintained. First, you’ll explore an overview of the ML domain. Next, you’ll discover the machine learning workflow, covering data collection, model development, deployment, and monitoring. Finally, you’ll learn about the challenges in the machine learning domain. When you’re finished with this course, you’ll have the skills and knowledge of machine learning needed to continue your learning in this domain and participate in basic discussions about ML applications.
Table of contents
About the author
Maaike is trainer and software developer. She has trained professionals in the field of Java, Spring, C#, Python, Scrum, React and Angular. Next to the practical training and programming experience, Maaike has a lot of experience with short technical consulting projects and providing learning solutions for complex software development departments.
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