25.13.6
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Accreditation

10 Credentials
Includes accreditations earned by taking a short, non-proctored assessment in Databricks Academy at the end of an on-demand Academy course.
Viewing 1-10 of 10

Academy Accreditation - Databricks Lakehouse Fundamentals

Earners of the Lakehouse Fundamentals accreditation have demonstrated the understanding of fundamental concepts related to Databricks Lakehouse Platform. Share your accomplishment on LinkedIn and tag us #DatabricksLearning. We'll be selecting random winners who tag us for Databricks swag. EARNING CRITERIA Completion of a short assessment on fundamental concepts related to the Databricks Lakehouse Platform.
Skills
  • Databricks
  • Lakehouse
  • Databricks machine learning
+3 more skills

Academy Accreditation - GCP Databricks Platform Architect

Earners of the badge passed the GCP Databricks Platform Architect accreditation with a score of 80% or higher. EARNING CRITERIA Successful completion of the GCP Databricks Platform Architect accreditation.
Skills
  • Platform administration
  • Networking and security
  • Cloud integrations

Academy Accreditation - AWS Databricks Platform Architect

Earners of this badge passed the AWS Databricks Platform Architect accreditation with a score of 80% or higher EARNING CRITERIA Successful completion of the AWS Databricks Platform Architect accreditation.
Skills
  • Platform administration
  • Networking and security
  • Cloud integrations

Academy Accreditation - Azure Databricks Platform Architect

Earners of this badge passed the Azure Databricks Platform Architect accreditation with a score of 80% or higher. EARNING CRITERIA Successful completion of the Azure Databricks Platform Architect accreditation.
Skills
  • Platform administration
  • Networking and security
  • Cloud integrations

Academy Accreditation - Databricks Fundamentals

Earners of the Databricks Fundamentals accreditation have demonstrated the understanding of fundamental concepts related to Databricks Data Intelligence Platform. Share your accomplishment on LinkedIn and tag us #DatabricksLearning. We'll be selecting random winners who tag us for Databricks swag. EARNING CRITERIA Completion of a short assessment on fundamental concepts related to the Databricks Lakehouse Platform.
Skills
  • Databricks
  • Data Intelligence Platform
  • Data Management Platforms

Academy Accreditation - Platform Administrator

Earners of the Databricks Platform Administrator accreditation have demonstrated an ability to describe how to manage and administer the Databricks Lakehouse Platform. Share your accomplishment on LinkedIn and tag us #DatabricksLearning. We'll be selecting random winners who tag us for Databricks swag. EARNING CRITERIA Successful completion of Platform Administrator accreditation exam.
Skills
  • Databricks
  • Lakehouse
  • Unity Catalog
+2 more skills

Academy Accreditation - Generative AI Fundamentals

Earners of the badge passed the Fundamentals of the Databricks Generative AI accreditation with a score of 70% or higher. EARNING CRITERIA: Successful completion of Generative AI Fundamentals
Skills
  • Generative artificial intelligence (AI)

Academy Accreditation - SQL Analyst Associate

Earners of the Associate SQL Analyst badge have demonstrated their ability to use Apache Spark SQL to query, transform, and present data.
Skills
  • Querying data
  • Transforming data
  • Presenting data

Academy Accreditation - AI Security Fundamentals

Earners of the AI security fundamentals accreditation have demonstrated the understanding of fundamental concepts related to Databricks AI security framework.

Skills
  • Databricks AI Security Framework
  • Machine Learning Lifecycle
  • AI Lifecycle
+3 more skills

Databricks AI Agents Fundamentals

This badge is awarded to people who complete the AI Agents Fundamentals training and quiz. The course will introduce you to AI agents, their transformative impact on organizations, and how Databricks enables the creation of AI agent systems. We’ll begin by exploring what AI agents are, how they differ from traditional AI systems, and why they are becoming essential in today’s data-driven landscape. Next, we’ll examine how AI agents can be used to automate tasks, enhance decision-making, and unlock new efficiencies for businesses of all sizes. Finally, we’ll review real-world examples of AI agent systems on Databricks, showcasing practical applications across industries and sharing key considerations for successful adoption. You can pass a short quiz and earn a badge to validate your learning on completion.

Skills
  • AI agents
Viewing 1-10 of 10