Description:
Master Kubernetes fundamentals and application development patterns in this comprehensive course. Explore key concepts, including Virtual Machines, Containers, and Processes, through hands-on labs. Enhance your expertise in deploying applications with Kubernetes.
Long Description:
Please note the following:
- This is an introductory course
- An In-depth coverage of Math / Stats behind Machine Learning is beyond the scope of this course.
- Course is taught using Spark & Python (Pyspark environment).
- Working knowledge of Spark is essential for this course.
Course Code/Duration:
BDT68 / 1 Day
Learning Objectives:
After this course, you will be able to:
- Use Apache Spark for Machine Learning .
- Learn popular machine learning algorithms,
- Learn about Machine Learning Algorithm’s applicability, and limitations.
- Practice the application of these algorithms using Apache Spark
