Databricks training
Hands-on Databricks training for every role
Live, instructor-led courses for data engineers, analysts, data scientists and platform teams. Taught by certified practitioners, practised in a real Databricks workspace, and tailored to the way your organisation works.
Ways to learn
Choose the format that fits your team
Private team training
A course or bootcamp for your team only, tailored to your goals, your cloud and your data.
Live online
Instructor-led virtual classrooms with hands-on labs. No travel, and the same level of interaction.
On-site
We come to your offices for focused, in-person courses and workshops.
1:1 mentoring & coaching
Personal mentoring for engineers growing their Databricks skills, and guidance on building a data career.
Course catalogue
Databricks courses
Every course can be run as described or adapted for your team, from first steps on the platform to advanced, production-focused engineering.
Data Engineering with Databricks
The core course for anyone building on Databricks. Learn the lakehouse from the ground up and leave able to build, schedule and monitor production-ready pipelines.
What your team will learn
- Lakehouse architecture, Delta Lake and the medallion pattern
- Incremental ingestion with Auto Loader and Lakeflow Connect
- Lakeflow Declarative Pipelines (formerly Delta Live Tables)
- Structured Streaming for near real-time data
- Data quality with expectations
- Orchestration and monitoring with Lakeflow Jobs
Advanced Spark & Performance Tuning
For engineers who already ship on Databricks and want faster, cheaper and more predictable workloads.
What your team will learn
- Spark internals: jobs, stages, shuffles and query plans
- Diagnosing skew, spills and small files in the Spark UI
- Partitioning, liquid clustering and table optimisation
- Photon, serverless and choosing the right compute
- Joins, caching and adaptive query execution
- CI/CD with Declarative Automation Bundles
Machine Learning & MLOps on Databricks
Run the whole machine learning lifecycle on one platform, from feature engineering to monitored models in production.
What your team will learn
- Experiment tracking and model management with MLflow
- Feature engineering and feature tables in Unity Catalog
- Distributed training and hyperparameter tuning
- Model registry, aliases and promotion workflows
- Batch and real-time inference with Model Serving
- Monitoring models and data drift in production
Generative AI & Agents on Databricks
Build generative AI applications that are grounded in your data, governed by Unity Catalog and measurably good.
What your team will learn
- Foundation Model APIs and AI Functions in SQL
- Document parsing, chunking and Vector Search
- Retrieval-augmented generation (RAG) patterns
- Agents and multi-agent supervisors with Agent Bricks
- Evaluating quality with MLflow
- Guardrails, governance and serving in production
Databricks SQL & AI/BI for Analysts
Give analysts confident, self-serve access to the lakehouse with SQL and the BI tools built into Databricks.
What your team will learn
- SQL warehouses and the Databricks SQL editor
- Querying Delta tables through Unity Catalog
- AI/BI dashboards and scheduled reporting
- Genie spaces for natural-language questions
- Metric views for consistent business definitions
- Query performance and optimisation
Unity Catalog & Platform Administration
Set Databricks up properly once: secure, governed, observable and cost-controlled.
What your team will learn
- Account and workspace set-up on AWS, Azure or GCP
- Unity Catalog catalogs, schemas and permissions
- Lineage, auditing and system tables
- Compute policies, budgets and cost monitoring
- Identity, networking and security best practice
- Delta Sharing and Databricks Marketplace
How we deliver
From first conversation to confident team
Skills assessment
We talk to your leads about current skills, projects and goals, so the course targets real gaps.
Tailored curriculum
Modules, depth and examples are matched to your roles, your cloud and the data you work with.
Hands-on labs
Every concept is practised in a live Databricks workspace, with exercises modelled on real workloads.
Ongoing support
After the course we stay on hand for questions, follow-up sessions and certification preparation.
Certification
Prepare for Databricks certification
Our courses follow the official Databricks certification paths. Add exam-focused preparation to help your team certify with confidence.
Certifications we prepare teams for
- Data Engineer Associate
- Data Engineer Professional
- Data Analyst Associate
- Machine Learning Associate
- Machine Learning Professional
- Generative AI Engineer Associate
FAQ
Common questions
Can you tailor a course to our team?
Yes. Private team courses are adapted to your roles, cloud provider and data. Tell us what your team needs to achieve and we’ll propose a programme.
Is training delivered online or in person?
Both. We run live online sessions and on-site training at your offices. Mixed formats, such as an on-site kick-off followed by online sessions, work well too.
What level do learners need to be?
We train every level, from people new to Databricks to experienced engineers. After a short conversation about your team’s background we’ll recommend the right starting point.
Do learners need their own Databricks workspace?
Labs run in a Databricks workspace. We can use a training workspace in your own account, so your team learns on the platform it uses every day, or agree an alternative with you before the course.
Do you help with certification?
Yes. Our courses follow the official Databricks certification paths, and we can add focused exam preparation sessions.
How do we get started?
Send us a message through the contact page or email info@inovamind.co.uk. We’ll arrange a short call, then share a proposed outline and quote.
Planning Databricks training for your team?
Tell us who you’re training and what they need to achieve. We’ll come back with a tailored plan and a clear quote.
or email info@inovamind.co.uk