Databricks Training and Certification
Service · Training & workshops · HR & recruiting by Databricks
Master the Data + AI Platform with expert-led training and industry-recognized certifications.
A comprehensive educational program offering role-based learning pathways, free fundamental courses, and professional certifications to help data teams master the Databricks Data + AI Platform.
- Languages
- English
Category: Corporate Training
- Level
- Introductory, Beginner, Intermediate, and Professional
- Fundamental Course Time
- 60-90 minutes
- Role-Based Lab Duration
- 12 hours
- Cloud Platforms Covered
- AWS, Azure, Google Cloud
- Certification Types
- Professional, Associate, and Specialty Accreditations
- Learning Levels
- Introductory, Beginner, Intermediate, Advanced
- Free on-demand fundamental courses in GenAI and AI Agents
- Industry-recognized certifications for AWS, Azure, and GCP platforms
- Role-based pathways for Data Engineers, Analysts, and Architects
- Instructor-led courses ranging from half-day to two-day sessions
- Digital badges for LinkedIn and resumes upon course completion
Overview
Databricks Training and Certification is a comprehensive educational service designed for data professionals and organizations to master the Databricks Data + AI Platform. It provides a variety of learning formats, including free self-paced on-demand videos, interactive labs, and expert-led public or private courses. The program features specialized pathways for roles such as Data Engineers, Machine Learning Engineers, and Data Analysts, ensuring learners gain practical skills relevant to their specific career tracks. Participants can earn industry-recognized certifications and digital badges that validate their expertise in areas like Generative AI, Lakehouse architecture, and platform administration across AWS, Azure, and Google Cloud. By providing structured curriculum and hands-on assessments, the service helps teams solve complex data challenges and accelerate their career growth in the AI era.
Fundamental Training
- Generative AI Fundamentals: A 60-minute training module covering the impact of transformative LLM technology and how to use LLMs in an organization.
- AI Agent Fundamentals: A 90-minute course on how AI agents empower teams to work smarter and automate everyday tasks.
- Lakehouse Fundamentals: A free on-demand training track focused on the industry standard for data, analytics, and AI.
Role-Based Learning Pathways
- Data Engineer Pathway: Training for defining and scheduling pipelines to process data from various sources using SQL and Python.
- Generative AI Engineer Pathway: A track covering solution development, application deployment, evaluation, and governance for generative AI.
- Machine Learning Engineer Pathway: Instruction on building end-to-end pipelines to log, deploy, and monitor machine learning models.
- Data Analyst Pathway: Courses on ingesting data, writing queries, and producing visualizations and dashboards using Databricks AI/BI.
- Data Architect Pathway: A pathway focused on Lakehouse architecture and data modeling strategies for architects.
Delivery Methods
- Self-Paced Learning: Custom-fit learning paths delivered through on-demand videos for various data and AI roles.
- Instructor-Led Training: Public and private courses taught by expert instructors ranging from half-day to two-day sessions.
- Databricks Academy Pro: A program designed to build data and AI expertise at scale for organizations.
- Private training sessions available upon request for organizations needing tailored instruction.
Certification and Recognition
- Professional certifications that assess knowledge of the Databricks Data + AI Platform and implementation methods.
- Digital Badging: Digital badges earned by passing quizzes after fundamental courses to showcase skills on LinkedIn or resumes.
- AWS Platform Architect Accreditation: Specialized assessments for configuring Databricks on AWS, including deployment, security, and cloud integrations.
- Azure Platform Architect Accreditation: Assessments for testing understanding of deployment and cloud integrations for Databricks on Microsoft Azure.
Deliverables
- Industry-recognized certifications, digital badges, and role-based accreditation
Use cases
- Data Engineers use role-based labs to learn how to define and schedule pipelines using SQL and Python.
- Generative AI Engineers follow specialized tracks to develop, deploy, and govern AI applications on the platform.
- Data Analysts take AI/BI training to learn how to produce visualizations and dashboards for self-serve analytics.
- Platform Architects complete cloud-specific assessments to validate their skills in configuring Databricks on AWS or Azure.
Specifications
- Format
- Self-paced video courses, instructor-led public courses, and private corporate training
- Level
- Introductory, Beginner, Intermediate, and Professional
- Delivery
- Online on-demand, virtual instructor-led, and private on-site or remote sessions
- Availability
- Global via Databricks Academy and cloud-specific tracks for AWS, Azure, and Google Cloud
- Fundamental Course Time
- 60-90 minutes
- Role-Based Lab Duration
- 12 hours
- Cloud Platforms Covered
- AWS, Azure, Google Cloud
- Certification Types
- Professional, Associate, and Specialty Accreditations
- Learning Levels
- Introductory, Beginner, Intermediate, Advanced
- Delivery Formats
- Self-Paced, Instructor-Led, Academy Pro
How it works
- Select a Learning Pathway: Learners choose from introductory, data engineer, machine learning, or analyst pathways based on their professional goals.
- Complete Training Modules: Participants engage with on-demand videos, interactive labs, or register for instructor-led sessions.
- Earn Digital Badges: After completing fundamental courses, learners pass a quiz to earn a digital badge for their professional profiles.
- Achieve Professional Certification: Candidates register for and pass formal certification exams to validate their technical competence on the Databricks platform.
Pricing
- Databricks Fundamentals
- Free
- Generative AI Fundamentals
- Free
- AI Agent Fundamentals
- Free
- Self-Paced Role-Based Labs
- Free
FAQ
Are there any free training courses available?
Databricks offers several free on-demand training options, including Databricks Fundamentals, Generative AI Fundamentals, and AI Agent Fundamentals. Many role-based introductory labs are also available for free.
How do I get a Databricks certification?
To get certified, you should select a certification that aligns with your role, register for the exam or a preparatory class, and then pass the assessment to earn your credential.
What roles are covered in the training pathways?
Databricks provides specialized learning pathways for Data Engineers, Generative AI Engineers, Machine Learning Engineers, Data Analysts, Data Architects, and Platform Administrators.
What is Databricks Academy Pro?
Databricks Academy Pro is a program designed to help organizations build data and AI expertise at scale through comprehensive training resources.
Added by AntSpace from public sources (databricks.com).