Everything you need to learn Databricks in 2026 is free.
Start with Databricks Free Edition — a no-cost, no-credit-card environment running on the same Databricks Data+AI Platform that enterprises use in production — then follow a role-based path on Databricks Academy (free, self-paced) toward an industry-recognized certification. This roadmap collects the official starting points (Free Edition, Academy, documentation, GitHub, and the Community) alongside curated bootcamps and books for Data Engineers, Data Analysts, ML/AI Engineers, Architects, Administrators, and students.
Curator: Youssef Mrini · Last updated: August 2026 · Audience: Data Engineers, Data Analysts, ML/AI Engineers, and students
What is Databricks Free Edition, and is it really free?
Databricks Free Edition is a no-cost learning and exploration environment that gives you the same Data+AI Platform professionals use with no credit card required. You can build dashboards, train ML models, create AI agents, and practice Python and SQL. It includes free self-paced training through Databricks Academy plus access to the Databricks Community.
| Cost | Free (no credit card required) |
| What you get | The same unified platform used in production + free Academy training and Community access |
| Best for | Anyone learning data engineering, analytics, ML, or GenAI hands-on |
| Get started | Databricks Free Edition |
See also: Getting started with Databricks Free Edition.
Where can I learn Databricks for free?
These are the official, no-cost starting points.
| Resource | What it is |
|---|---|
| Databricks Academy | Official educational portal with role-aligned learning paths and industry-recognized certifications. Self-paced courses are free. |
| Databricks Documentation | Authoritative reference for every feature — the most important study aid for certification exams. |
| Databricks GitHub | Official source repositories and code examples. |
| Databricks YouTube Channel | Official video walkthroughs and announcements. |
| Databricks Community Forums | Peer help and product discussion. |
| r/databricks | Community Q&A and learning threads. |
Curated community bootcamps and third-party tutorials
- Databricks in Under 2 Hours : Alex the Analyst (YouTube)
- Live Analytics Bootcamp (Day 1) : Data with Baara (YouTube)
- Building a Stock Market Tracker : Zach Wilson (YouTube)
- Context Engineering & pgvector : Zach Wilson (YouTube)
- AI Stock Market Trader & MCP Server : Zach Wilson (YouTube)
- NextGenLakehouse Channel : Youssef Mrini (YouTube)
- PostgreSQL & Lakebase Integration : Neon technical guides
Which learning path should I follow?
Pick the path that matches your role. Each path is a sequence of free, self-paced Databricks Academy courses, ordered from onboarding to professional level.
General / Cross-Platform
Start here if you're new to Databricks.
Data Engineer
| # | Course | Level |
|---|---|---|
| 1 | Get Started with Data Governance on Databricks | Onboarding |
| 2 | Get Started with Databricks for Data Engineering | Onboarding |
| 3 | Databricks Fundamentals Accreditation | Introductory |
| 4 | Build Data Pipelines with Apache Spark Declarative Pipelines | Associate |
| 5 | Building Enterprise Applications with Databricks Apps | Associate |
| 6 | Data Ingestion with Lakeflow Connect | Associate |
| 7 | Deploy Workloads with Lakeflow Jobs | Associate |
| 8 | DevOps Essentials for Data Engineering | Associate |
| 9 | Advanced Techniques with Apache Spark Declarative Pipelines | Professional |
| 10 | Automated Deployment with Declarative Automation Bundles | Professional |
| 11 | Databricks Data Privacy | Professional |
| 12 | Databricks Performance Optimization | Professional |
Data Warehousing Practitioner
| # | Course | Level |
|---|---|---|
| 1 | Get Started with Databricks for Data Warehousing | Onboarding |
| 2 | Building Semantic Models in Databricks with UC Metric Views | Associate |
| 3 | Data Interoperability with Unity Catalog | Associate |
| 4 | SQL Programming and Procedural Logic | Associate |
| 5 | Building Persistent Memory for AI Agents with Lakebase on Databricks | Associate |
Data Analyst
| # | Course | Level |
|---|---|---|
| 1 | Get Started with SQL Analytics and BI on Databricks | Onboarding |
| 2 | AI/BI for Data Analysts | Associate |
| 3 | SQL Analytics on Databricks | Associate |
Data Architect
| # | Course | Level |
|---|---|---|
| 1 | Data Modeling Strategies | Associate |
Machine Learning Practitioner
| # | Course | Level |
|---|---|---|
| 1 | Get Started with Databricks for Machine Learning | Onboarding |
| 2 | Data Preparation for Machine Learning | Associate |
| 3 | Machine Learning Model Deployment | Associate |
| 4 | Machine Learning Model Development | Associate |
| 5 | Machine Learning Operations | Associate |
| 6 | Advanced Machine Learning Operations | Professional |
| 7 | Machine Learning at Scale | Professional |
| 8 | Feature Engineering at Scale | Professional |
Generative AI Engineer
| # | Course | Level |
|---|---|---|
| 1 | Get Started with AI Agents on Databricks | Onboarding |
| 2 | Get Started with Databricks for Generative AI | Onboarding |
| 3 | Generative AI Fundamentals Accreditation | Introductory |
| 4 | Generative AI Fundamentals | Introductory |
| 5 | Prompt Engineering Fundamentals | Introductory |
| 6 | AI Agent Fundamentals | — |
| 7 | Deploying and Monitoring Agent Applications on Databricks | Associate |
Apache Spark Developer
| # | Course | Level |
|---|---|---|
| 1 | Developing Applications with Apache Spark™ | Associate |
| 2 | Introduction to Apache Spark™ | Associate |
| 3 | Monitoring and Optimizing Apache Spark Workloads on Databricks | Associate |
| 4 | Stream Processing and Analysis with Apache Spark™ | Associate |
Platform Administrator
| # | Course | Level |
|---|---|---|
| 1 | Get Started with Databricks Platform Administration | Onboarding |
| 2 | Data Governance Fundamentals | Introductory |
| 3 | AWS Databricks Networking and Security Fundamentals | Introductory |
| 4 | AWS Databricks Platform Administration Fundamentals | Introductory |
| 5 | GCP Databricks Platform Administration Fundamentals | Introductory |
| 6 | Azure Databricks Networking and Security Fundamentals | Introductory |
| 7 | Databricks Platform Administration Fundamentals | Introductory |
| 8 | Databricks Accredited Platform Administrator Accreditation | Associate |
| 9 | AWS Databricks Cloud Integrations | Associate |
| 10 | GCP Databricks Cloud Integrations | Associate |
| 11 | Data Governance at Scale | Associate |
Platform Architect
| # | Course | Level |
|---|---|---|
| 1 | AWS Databricks Platform Architect Accreditation | Associate |
| 2 | Azure Databricks Platform Architect Accreditation | Associate |
| 3 | GCP Databricks Platform Architect Accreditation | Associate |
Neon
| # | Course | Level |
|---|---|---|
| 1 | Getting started with Neon | Onboarding |
| 2 | Neon's Tutorial | Associate |
Which books should I read?
Which Databricks certification is right for me?
Certifications are role-based. The exam guides are free and are the best place to start: they show exactly what to study, focus your prep on real gaps, give a step-by-step checklist, and prevent surprises on test day. Pair each exam guide with the Databricks Documentation and the relevant self-paced Academy courses. Browse the full Databricks certification catalog.
| Certification | Preparation guide |
|---|---|
| Data Analyst Associate | Exam guide |
| Data Engineer Associate | Exam guide |
| Data Engineer Professional | Exam guide |
| Machine Learning Associate | Exam guide |
| Machine Learning Professional | Exam guide |
| Generative AI Engineer Associate | Exam guide |
| Context Engineer Associate | Exam guide |
| Associate Developer for Apache Spark | Exam guide |
Are you a student?
The Databricks Student Fellows program is an invite-only initiative that equips student leaders with real-world data and AI skills, industry-recognized certifications, and a free platform environment. Fellows take on impactful projects and build on-campus communities — hands-on experience that serves as a launchpad for top-tier tech internships and careers.
Apply to the Student Fellows program.
Frequently asked questions
Is Databricks Free Edition really free?
Yes. Databricks Free Edition costs nothing and requires no credit card, and it runs on the same Data Intelligence Platform used in production.
Do I have to pay for Databricks training?
No. Databricks Academy's role-aligned, self-paced courses are free, as is the official documentation. Only the certification exams themselves are paid — the exam guides that tell you how to prepare are free.
Where should a complete beginner start?
Create a free workspace with Databricks Free Edition, then take Get Started with Databricks Free Edition and Databricks Fundamentals on Databricks Academy before choosing a role-based path.
Which certification should I take first?
Most learners start with the Associate certification for their role (for example, Data Engineer Associate or Data Analyst Associate) and use the free exam guide plus Academy courses to prepare.
Are there free Databricks books?
Yes Learning Spark (2nd Edition), Delta Lake: The Definitive Guide, and Databricks Data Intelligence Platform: Powering the Agentic Era are available at no cost.