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DatabricksAll About Courses & Platform
Databricks courses are designed to help learners build strong skills in data and AI using the Databricks platform. The programs are typically role-based, instructor-led, and lab-based, allowing hands-on practice and expert guidance.
Training Modes
| Mode |
Description |
| Role-based |
Courses are tailored to specific job roles, such as - |
| Instructor-led |
Sessions are guided by certified instructors and often include live virtual classrooms or in-person training. |
| Lab-based |
Lab-based courses include hands-on lab exercises using real datasets in a Databricks environment to practice skills. |
Databricks Courses
1. Introductory Level Courses
These are beginner-friendly courses for those new to Databricks or data and Artificial Intelligence concepts. They help you understand basic tools, platform navigation, and foundational analytics.
| Course Name & Duration |
Description |
USPs |
| Create Your First Workspace Using Databricks Express 1h 30m · Free |
Learn how to set up and explore a Databricks Express workspace with a guided trial. |
|
| Databricks AI Security Fundamentals 1h · Free |
Understand basic security principles related to AI on the Databricks platform. |
|
| Databricks Fundamentals 1h · Free |
Introduces Databricks platform features and how they support data and AI usage. |
|
| Databricks Fundamentals Accreditation 30m · Free |
Short quiz testing Databricks fundamentals; badge on completion. |
|
| Generative AI Fundamentals 2h · Free |
Discover the fundamentals of generative AI, including large language models (LLMs) and key usage considerations. |
|
| Generative AI Fundamentals Accreditation 10m · Free |
Quick test on generative AI basics with a badge on an 80% score. |
|
| Introduction to Python for Data Science and Data Engineering 12h · Paid |
Learn the basics of Python for handling data, including Pandas and cloud tools. |
|
2. Onboarding Courses
These courses are for new users or teams who have just started using Databricks in their organization. The content is focused on practical setup, collaboration features, and workspace use.
| Course Name & Duration |
Description |
USPs |
| Databricks AI/BI for Self-Service Analytics 3h · Free |
Learn to use AI/BI dashboards and natural language queries in Databricks. |
|
| Get Started with Databricks for Data Engineering 2h · Free |
Covers basic tools for data workflows using Databricks. |
|
| Get Started with Databricks for Data Engineering 3h · Paid (Lab) |
Instructor-led version of the same course with guided labs. |
|
| Get Started with Databricks for Data Warehousing 2h · Free (Instructor-led) |
Learn modern data lakehouse and data warehousing concepts. |
|
| Get Started with Databricks for Data Warehousing 3h · Paid (Lab) |
Practical sessions on AI-powered warehouse building on Databricks. |
|
| Get Started with Databricks for Generative AI 2h · Free (Instructor-led) |
Learn how to use Mosaic AI tools for building generative AI apps. |
|
3. Associate Level Courses
Intermediate-level courses that prepare you for associate certifications. Ideal for users with some experience in data engineering, machine learning, or analytics.
| Course Name & Duration |
Description |
USPs |
| AI/BI for Data Analysts 2h · Free |
Learn to create and manage AI/BI dashboards for analytics. |
|
| Apache Spark Programming with Databricks 16h · Paid (Lab) |
Learn Apache Spark basics and how to use DataFrame APIs. |
|
| AWS Databricks Platform Architect Accreditation 20m · Free |
Quiz to validate platform knowledge on AWS setup. |
|
| Azure Databricks Platform Architect Accreditation 20m · Free |
Similar to the AWS version but focused on the Azure platform. |
|
| Data Engineering with Databricks 16h · Paid (Lab) |
Learn core data engineering skills with Delta Lake and Unity Catalog. |
|
| Data Ingestion with Delta Lake 4h · Paid (Lab) |
Build data pipelines with Delta Live Tables and Databricks Workflows. |
|
4. Professional Level Courses
Advanced training for experienced practitioners. These courses focus on specific technologies, tools, and best practices, aligning with professional certifications.
| Course Name & Duration |
Description |
USPs |
| Advanced Data Engineering with Databricks 16h · Paid (Lab) |
Learn advanced concepts like streaming, optimization, and deployment. |
|
| Advanced Machine Learning Operations 2h · Free |
Introduction to MLOps tools and best practices on Databricks. |
|
| Advanced Machine Learning Operations 4h · Paid (Lab) |
Instructor-led course with labs on MLOps tools and strategies. |
|
| Advanced Machine Learning Operations 3h · Paid (Lab) |
Covers monitoring, A/B testing, and reliable ML systems. |
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| Advanced Machine Learning with Databricks 8h · Paid (Lab) |
Deep dive into ML at scale and operations. |
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| Automated Deployment with Databricks Asset Bundles 3h · Paid |
Apply DevOps principles for automating data pipeline deployments. |
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| Automated Deployment with Databricks Asset Bundles 2h · Free |
Short version focusing on automation practices. |
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| Automated Deployment with Databricks Asset Bundles 4h · Paid (Lab) |
Instructor-led course with labs for automated deployment. |
|
| Databricks Data Privacy 2h · Free |
Learn to manage sensitive data securely and meet data privacy standards. |
|
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Student Forum
Anything you would want to ask experts?Content authored by:
Updated on Jun 6, 2025
