Databricks Certified Machine Learning Professional Course Overview

Course Prerequisites

Target Audience for Databricks Certified Machine Learning Professional

The Databricks Certified Machine Learning Professional course is designed to equip professionals with the skills to harness machine learning using Databricks’ powerful platform, appealing to a diverse audience in data-driven roles.

• Data Scientists
• Machine Learning Engineers
• Data Analysts
• Big Data Engineers
• Business Intelligence Analysts
• Software Developers
• AI Researchers
• Cloud Architects
• Data Engineers
• Technical Project Managers
• IT Professionals Interested in Machine Learning
• Analytics Managers

Learning Objectives - What you will Learn in this Databricks Certified Machine Learning Professional?

Introduction:
The Databricks Certified Machine Learning Professional course equips learners with essential skills in machine learning techniques, best practices, and tools on the Databricks platform to enhance their professional expertise and career opportunities.

Learning Objectives and Outcomes:

• Understand the fundamentals of machine learning and its applications.
• Gain proficiency in leveraging Databricks tools for data processing and machine learning tasks.
• Implement machine learning algorithms and models using Spark MLlib.
• Design and optimize machine learning workflows for large datasets.
• Develop skills in feature engineering and model evaluation techniques.
• Master the use of Databricks notebooks for collaborative machine learning projects.
• Learn to deploy machine learning models effectively in production environments.
• Explore the integration of machine learning with Delta Lake and other data architectures.
• Familiarize with best practices for model monitoring and maintenance.
• Prepare for the Databricks Certified Machine Learning Professional certification exam.