Hands-on Databricks enablement · Track 01
Role-based Databricks training, tailored to your needs.
A body of role-based training modules, foundational to advanced, across ML engineering, data engineering, analytics, and platform administration. Delivered your way: standard, or tailored to your team.
Standard / tailored
Same portfolio. Two levels of personalisation.
Every training in the portfolio can be delivered two ways. The difference isn't the quality of the content, it's how closely it's shaped to your team. Most engagements start standard and tailor where a specific persona, gap, or use case justifies it.
Mode 01
Standard
Datapao curates the right set of role-based modules — and the Databricks Academy trainings alongside them, based on role and objective. Content units are delivered without modification. Fastest to schedule, and right when the standard curriculum maps cleanly to the need.
Best when
Roles and goals are clear and the standard modules fit
You get
a curated module path · proven labs & demos · private delivery
Tailored
We select content units from across the role-based modules and build a personalised outline around your team, each persona, their prior knowledge, and the use cases they work on. The modules stay Datapao's proven content; the sequence, emphasis, and examples are calibrated to your people.
Best when
Mixed prior knowledge, specific personas, or use-case relevance matters
You get
a personalised outline · persona-calibrated emphasis · context-aligned examples
Need a fully bespoke course for a proprietary architecture or regulatory context? That's Custom Courseware.
Upskilling many roles and teams in parallel? That's a Complex Enablement Program.
Not sure what is best for you? Talk to our team
The portfolio
Modules mapped to roles.
Foundational to advanced.
Organised by role. Each persona has a track from foundational platform knowledge to advanced, production-grade depth. Shared foundation modules sit under every track; role-specific modules branch from there.
Essential
Advanced
AI Engineering
AI engineers · Data scientists
Databricks Workspace Practical Guide
Databricks Core Technologies
AI Model DevelopmentFound
AI Model Deployment
Databricks Development Tools
MLOps with Asset Bundles
Generative AI with Databricks
AI Agents with Databricks
Data Engineering
Data engineers · Platform architects
Databricks Workspace Practical Guide
Databricks Core Technologies
Data Management & Governance
Data Engineering Fundamentals
Lakeflow Declarative Pipelines
Orchestration & Workflow Mgmt
Applied DevOps for Data Eng
Performance Tuning
Data Analysis
Data analysts · BI developers
Databricks Workspace Practical Guide
Databricks Core Technologies
Data Consumption for Analytics
Data Management & Governance
Core Technologies (optional)
Platform Administration
Administrators · DevOps engineers
Databricks Workspace Practical Guide
Databricks Core Technologies
Administration & Resource Mgmt
Monitoring & Auditing
Data Engineering modules (add-on)
Modules combine essential theory, hands-on practice in notebooks, and knowledge checks, delivered virtually (or optionally on-site) as instructor-led training. Selection, sequencing, and depth are set during scoping: standard as-is, or tailored to your personas and use cases.
Ready-to-go packages
ML Engineering
MLOps on Databricks
Local dev tooling, MLOps with Databricks Asset Bundles, and reproducible ML development and deployment with MLflow.
AI Engineering
Generative AI & Machine Learning
LLMs and prompt engineering, Vector Search, RAG design, LLM serving, AI Agents, and classic ML development and deployment.
Analytics
Geospatial Analytics on Databricks
Geospatial fundamentals, a hands-on satellite-imagery use case, and scaling with H3, Spark, Delta Lake, Mosaic, and Kepler.
How it complements Databricks Academy
The official curriculum, and the applied depth around it.
Datapao is an independent Databricks training provider and also a Databricks Super ATP and delivers the official Databricks Academy ILT curriculum. The Hands-on Databricks Enablement complements it by offering practical, role-based courses tailored to the organisation’s needs and specific enterprise environment.
The Instructors
Learn Databricks with instructors who put your team first
Our Databricks training programmes and courses are tailored to your organisation’s needs and your team’s current stage in its data and AI journey. Our experienced instructors work with you to define the right learning mix and deliver practical, role-specific training that builds lasting skills and long-term capabilities across your organisation.
Databricks-focused educators
Our instructors specialise in Databricks education and understand how to translate complex platform concepts into clear, structured, and accessible learning experiences.
Experienced across roles and skill levels
From business users and data analysts to engineers and platform teams, our instructors adapt the content, pace, and level of technical depth to each audience.
Committed to real capability building
Datapao instructors focus on active learning, practical exercises, and knowledge participants can apply after the training, helping organisations build stronger internal Databricks capabilities.
Judit Mokos
Technical Instructor
Genie
Interactivity
Gamified Learning
Bence Toth
Senior Technical Instructor
AI
MLOps
Learn & Share
Benedek Kiss
Lead Technical Instructor
Geospatial Analytics
Unlocking skills
Mentorship
Mihaly Orsos
Technical Instructor
Data Transformation
Value
Impact
From enquiry to programme
We don't hand you a form to self-assess. We scope it with you.
step 01
Introductory call
We define the context together: current Databricks architecture, who needs training (personas, roles, seniority), expectations, and delivery constraints.
step 02
Needs evaluation
We dig deeper, validating real topics against actual workflows and roadmap, assessing delivery model, and checking which modules fit and where tailoring adds value.
step 03
Training scope proposal
A complete scope: content selection (standard or tailored), recommended duration and pacing, and recommended formats (ILT, TTT-ready, labs, microlearning).
step 04
Training delivery
Training delivered by Databricks-certified instructors, using the agreed format and tailored content. Sessions combine expert guidance and hands-on exercises to make the learning immediately applicable.
In practice
Portfolio training,personalised to a team.
OTP Bank
Upskilling One of Central and Eastern Europe’s Leading Banks for the Databricks Era
Datapao Education was selected to design and deliver a bespoke, end-to-end Databricks enablement programme tailored to OTP’s specific technical environment, compliance requirements, and diverse workforce.
Programme
10-week programme
Scale
Expansion from one pilot cohort to ten additional cohorts
Reach
Approximately 150 professionals trained
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