New to Databricks
Two free badges, ~3 hours combined. Zero commitment, LinkedIn-displayable.
- Databricks FundamentalsFree
- Generative AI FundamentalsFree
If you'll touch any AI work
Every public Databricks certification and accreditation with cost, difficulty, study hours, and active vouchers. Independent reference, not affiliated. Verify exam details on databricks.com before relying on them.
17 active · 9 free · 2 new in 2026 · 1 retired
Six common journeys through the catalog. Each step links to the official Databricks page for that certification.
Two free badges, ~3 hours combined. Zero commitment, LinkedIn-displayable.
If you'll touch any AI work
Free intro, then paid Associate, then paid Professional. Skip Associate if you've shipped production Databricks pipelines for over a year.
Pass rate noticeably lower — plan 60–100h
If you're at a Databricks partner firm
Two tracks fork after the free intros: classical ML, or GenAI via the new Context Engineer Associate (free at DAIS 2026).
Classical-ML branch
GenAI branch — most current demand
BETA. Free attempt at DAIS 2026
Two certs, both under 50 study hours. The 2026 blueprint added Genie + AI/BI dashboards.
Three free accreditations cover the full admin track. Pick the cloud you actually run on.
Pick the cloud you actually run
Partner-firm-only. Requires alliance-lead sponsorship + PSAE training + a panel-reviewed case study. Champion status unlocks the DAIS voucher and quarterly roadmap NDA access.
7 badges, 1–2 hours each, claimed through Databricks Academy. Take the course, pass the quiz, earn a LinkedIn-displayable credential.
Fundamentals
Filter by audience, level, cost, or cloud. Search across name, description, and topics.
Entry-level cert for data engineers on the Data Intelligence Platform. Data ingestion + transformation, ETL with PySpark, Lakeflow Jobs + CI/CD, governance with Unity Catalog. Blueprint updated for 2026 — the most popular Databricks cert on the planet.
Prereqs: Basic SQL, beginner-level Python or Spark. Related training highly recommended.
Open on databricks.comProduction-grade data engineering: performance tuning, Delta Lake internals, security, monitoring, CI/CD for pipelines. Pass-rate is noticeably lower than Associate — plan on 60-100 hours of hands-on prep, not just study.
Prereqs: 1+ year hands-on Databricks experience; Associate-level fluency strongly recommended.
Open on databricks.comML practitioners using Databricks for the full ML lifecycle: Spark ML, MLflow tracking, AutoML, Feature Store basics, model deployment. Officially named 'ML Engineer Associate' under the 2026 branding.
Prereqs: Working knowledge of ML fundamentals and Python.
Open on databricks.comAdvanced MLOps on Databricks: production model serving, monitoring, drift detection, orchestrating end-to-end ML pipelines with CI/CD. Heavy on real production patterns — study material alone isn't enough.
Prereqs: ML Associate-level fluency; production ML experience strongly recommended.
Open on databricks.com
Free intro accreditation on the GenAI landscape on Databricks. LLM basics, RAG concepts, Mosaic AI overview, governance considerations. 60-minute course + quiz. A good warm-up before the paid GenAI Engineer Associate exam.
Prereqs: None.
Open on databricks.com
Free 90-minute course covering agent system fundamentals: simple vs agentic vs multi-agent, Agent Bricks, real-world use cases. New for 2026 — the natural follow-up to GenAI Fundamentals before the Context Engineer Associate exam.
Prereqs: Generative AI Fundamentals recommended.
Open on databricks.comFor engineers building GenAI applications on Databricks: design (14%), data prep (14%), app development (30%), deployment (22%), governance (8%), evaluation + monitoring (12%). RAG, vector search, agent frameworks, Mosaic AI Model Serving.
Prereqs: Familiarity with Python, ML concepts, and basic LLM usage patterns. Generative AI Fundamentals (free) is a useful warm-up.
Open on databricks.com
BETA launch at DAIS 2026 (June 15-18, San Francisco). Designing and governing the information AI agents receive at inference time: system prompts, vector search config, memory architectures (Lakebase + MLflow), tool integration via MCP, Unity Catalog PII handling. Onsite DAIS attendees get one free attempt.
Prereqs: 6+ months hands-on context-engineering work recommended. GenAI Engineer Associate or equivalent strongly suggested first.
Open on databricks.com
Free intro accreditation (formerly Lakehouse Fundamentals — Databricks renamed it in 2026). Data Intelligence Platform overview, Delta Lake basics, Unity Catalog basics, common use cases. Recommended as the first thing every Databricks user takes: 90 minutes, no commitment, earns a LinkedIn badge.
Prereqs: None.
Open on databricks.com
Free accreditation for platform admins: workspace setup, identity & access, networking, cost & usage management, Unity Catalog administration. The natural follow-on after the cloud-specific Platform Architect accreditation for whichever cloud you run on.
Prereqs: Familiarity with cloud admin concepts (AWS / Azure / GCP).
Open on databricks.comFree accreditation for using Databricks on AWS: workspace provisioning, IAM, S3 integration, PrivateLink, cost optimization. Renamed from 'Databricks on AWS' in 2026 to align with the Platform Architect naming.
Prereqs: Basic AWS familiarity.
Open on databricks.comFree accreditation for Azure Databricks: managed-resource integration with Azure, AAD/Entra ID, ADLS Gen2, Private Link, cost optimization.
Prereqs: Basic Azure familiarity.
Open on databricks.comFree accreditation for Databricks on Google Cloud: workspace setup, IAM, GCS integration, VPC networking, cost optimization.
Prereqs: Basic GCP familiarity.
Open on databricks.comPartner-track accreditation for solutions architects designing Lakehouse implementations for clients. Reference architectures, integration patterns, migration playbooks. Free for partner-firm employees via Partner Academy.
Prereqs: Active Databricks partner status.
Open on databricks.comTop-tier accreditation for partner-firm solutions architects. End-to-end design competency across the data + AI lifecycle. Requires the PSAE (Partner Solutions Architect Essentials) 3 half-day training, a customer case-study panel, and a defense in front of a Databricks panel + senior Champion.
Prereqs: Active Databricks partner; Lakehouse Platform Architect Accreditation + several foundational accreditations strongly recommended. Sponsorship from your firm's Databricks alliance lead required.
Open on databricks.comDatabricks runs the Customer Academy Learning Festival roughly twice a year, plus standing partner offers and one-off DAIS promotions. Vouchers generally don't stack.
Employees of active Databricks partner firms (e.g. DXC, Deloitte, Accenture) get discounted exam vouchers via the Partner Academy portal, plus access to partner-exclusive accreditations (Lakehouse Platform Architect, Solutions Architect Champion). Discount details vary by partner tier — ask your alliance lead.
Eligible: Partner Academy users · Requirement: Active Databricks partner status + Partner Academy enrollment via your firm's alliance lead.
One free attempt at the new (BETA) Context Engineer Associate exam, available only onsite at the Data + AI Summit (San Francisco, June 15-18 2026). Worth $200. Results land approximately 6 weeks post-exam.
Eligible: DAIS attendees (onsite) · Requirement: Onsite registration + walk-up at the DAIS 2026 certification testing area.
Complete one Customer Academy learning pathway between June 15 and July 6 and earn a 50% voucher (worth $100) usable on any Databricks certification exam. Also includes a 20% Academy Labs coupon. One voucher per learner.
Eligible: Customer Academy users · Requirement: Complete at least one Customer Academy learning pathway during the festival window.