Machine Learning Practitioner

DATB-GSML : Get Started with Databricks for Machine Learning

Course Duration

2 Hours

Delivery

ILT/VILT

Overview

Overview Course Curriculum Training Schedule Exam & Certification FAQs

In this course, you will develop the foundational skills needed to use the Databricks Data Intelligence Platform for executing basic machine learning workflows and supporting data science workloads. You will explore the platform from the perspective of a machine learning practitioner, covering topics such as feature engineering with Databricks Notebooks and model lifecycle tracking with MLflow. Additionally, you will learn about real-time model inference with Mosaic AI Model Serving and experience Databricks’ “glass box” approach to model development through AutoML. The course includes three instructor-led demonstrations, culminating in a comprehensive lab that reinforces the concepts covered in the demos.

What You'll Learn

Databricks Overview
Using Databricks for Machine Learning

Who Should Attend

Machine-learning engineers, data scientists and analytics practitioners beginning to use the Databricks Data Intelligence Platform for ML workflows.
Professionals wanting to learn feature engineering in notebooks, experiment tracking with MLflow and real-time model inference (e.g., using Mosaic AI Model Serving) in a unified environment.
Individuals with a basic understanding of Python plus fundamental ML concepts (such as classification and regression) seeking a hands-on introduction to ML on Databricks.
Team members working in organisations adopting Databricks for end-to-end ML—from data exploration, through experiment management, to model deployment and monitoring.

Prerequisites

A beginner-level understanding of Python.
Basic understanding of DS/ML concepts (e.g. classification and regression models), common model metrics (e.g. F1-score), and Python libraries (e.g. scikit-learn and XGBoost).

Learning Journey

Coming Soon...

Module 1. Databricks Overview

Databricks Data Intelligence Platform
Demo: Databricks Workspace Walkthrough

Module 2. Using Databricks for Machine Learning

Introduction to Machine Learning with Databricks
Exploratory Data Analysis (EDA) and Feature Engineering on Databricks
Demo: EDA and Feature Engineering
Introduction to MLflow on Databricks
Demo: Tracking and Managing Models with MLflow
Introduction to Mosaic AI AutoML
Demo: Experimentation with Mosaic AI AutoML
Introduction to Mosaic AI Model Serving
Demo: Getting Started with Mosaic AI Model Serving
Comprehensive Lab: Getting Started with Databricks for ML

Frequently Asked Questions (FAQs)

None

Keep Exploring

Course Curriculum

Training Schedule

Exam & Certification

FAQs

Frequently Asked Questions

Improve yourself and your career by taking this course.

Enroll Now

More Courses By Databricks

Browse All Courses

IBM Analytics3_8g102g-ibm-security-guardium-data-protection-foundations-training

Data Engineer

Ready to Take Your Business from Great to Awesome?

Level-up by partnering with Trainocate. Get in touch today.

Name

Phone

I'm inquiring for

Myself

Company

Inquiry Details

By submitting this form, you consent to Trainocate processing your data to respond to your inquiry and provide you with relevant information about our training programs, including occasional emails with the latest news, exclusive events, and special offers.

You can unsubscribe from our marketing emails at any time. Our data handling practices are in accordance with our Privacy Policy.