Rigorous trainer selection
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
- Triple validation: technical, pedagogical, sectoral.
- Minimum rating 4.8/5 over the last 12 sessions.
Databricks Training - Mastering the Lakehouse for Data Pros
Trusted by — schools, companies and industrial groups
40,860 programs · 25 countries
Every program built with a dedicated engineer
Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.
Databricks training objectives
- Master Databricks fundamentals for professional analyses
- Develop collaborative notebooks in a certified enterprise environment
- Implement Spark on Databricks to process massive volumes
- Design data pipelines with Delta Lake and Unity Catalog
- Optimize data workflows for scalable competencies
- Deploy Lakehouse projects tailored to business needs
Databricks curriculum: 5 modules over 5 days
Module 1 : Databricks Fundamentals: Setup and First Notebooks (Workspace, Clusters)
Discovery of the Databricks platform through creation of a professional workspace account, configuration of initial Spark clusters for fast data processing, hands-on experience with interactive notebooks using Python and SQL, practical exercises on importing real enterprise datasets, simple exploratory analyses with integrated visualizations, production of a first basic dashboard to validate immediate learning outcomes.
Module 2 : Data Exploration in Databricks: Manipulation and Advanced SQL (Queries, Joins)
Deep dive into Databricks notebooks for distributed querying with Spark SQL, DataFrame manipulation via the Python pyspark API, exercises on cleaning and transforming large datasets from concrete business cases, use of Magic Commands for seamless execution, real-time collaboration on shared notebooks, generation of team-ready interactive reports, skill consolidation through a personalized ongoing project.
Module 3 : Spark on Databricks: Distributed ETL (DataFrames, RDD, Optimizations)
Intensive training on the Spark engine in Databricks for scalable ETL, advanced DataFrame transformations with aggregations and window functions, practical exercises on automated data pipelines for terabyte-scale volumes, cluster tuning for optimal performance, enterprise use cases such as log or sales processing, development of scheduled batch jobs, delivery of reusable scripts tested in real-world conditions.
Module 4 : Delta Lake in Databricks: Data Reliability (ACID, Versioning, Z-Order)
Mastery of Delta Lake for transactional data lakes on Databricks, implementation of ACID tables with merge and upsert operations on live datasets, time travel exercises for audits and rollbacks, storage optimization using Z-Order and compaction, integration with Unity Catalog for secure governance, hands-on projects with sensitive enterprise data, production of reliable pipelines with built-in monitoring for immediate ROI.
Module 5 : Databricks Workflows: Jobs and MLflow Intro (Orchestration, Deployment)
Finalization with Databricks workflows using Jobs Scheduler for end-to-end automations, introduction to MLflow for tracking simple models, exercises on deploying complete Lakehouse pipelines, monitoring of performance and cluster costs, business cases such as scaled sales predictions, collaborative code review and live debugging, conclusion with presentation of the ongoing project to certify production-ready professional skills.
How Databricks skills are assessed
- Multiple-choice quiz to validate learning outcomes at the end of the training
- Continuous assessment through practical Databricks exercises
- Presentation of the ongoing Lakehouse project to the trainer
How the Databricks course is taught
- Courses led by certified Databricks expert trainer
- Practical exercises on real big data enterprise cases
- Progressive ongoing project on the Databricks platform
- Complete course materials and notebook access provided
Databricks training: access and practical arrangements
The Databricks Training - Mastering the Lakehouse for Data Pros program is delivered onsite or remote (blended-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.
The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.
Equipment required
For the smooth delivery of the Databricks Training - Mastering the Lakehouse for Data Pros program, the following equipment is required:
- Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
- Training environments installed on workstations or accessible online
- Course materials, hands-on exercises and complementary resources
- Post-training access to materials and educational resources
For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.
* contact us for remote delivery feasibility** ratio varies depending on the program
Skills assessment methods
Assessment of skills acquired during the Databricks Training - Mastering the Lakehouse for Data Pros program is performed through:
- During training: case studies, hands-on labs and professional scenarios
- End of training: self-assessment questionnaire and skills evaluation by the trainer
- After training: completion certificate detailing acquired skills
Program accessibility
Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.
Enrollment terms and lead times
Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.
The Learni story
Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.
Our method
How Learni guarantees the quality of your Databricks training
Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.
You meet the trainer beforehand
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
- Live briefing on goals and team context.
- Veto right — we swap the trainer for free if needed.
Content tailored to your context
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
- Hands-on cases drawn from your stack and projects.
- Program co-written then validated by your team.
Continuous quality follow-up
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
- NPS, knowledge quizzes and skills self-assessment.
- Satisfaction guarantee: fully satisfied or free rework.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
Our social commitment
A school kit donated to a child for every training booked
To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.
- Backpack, notebooks and essential supplies
- Distributed through our partner charities
- Included, at no extra cost to you
FAQ
Databricks: frequently asked questions
Which tools are used in Databricks Training training?+
Hands-on work runs on workspace, clusters, queries, joins, dataFrames and RDD. Those tools come from the Databricks Training program itself, delivered on site over 5 days, so participants practise on the stack they will use at work.
What can participants do after Databricks Training training?+
They can master Databricks fundamentals for professional analyses, develop collaborative notebooks in a certified enterprise environment and implement Spark on Databricks to process massive volumes. Those are the stated objectives of the Databricks Training program at Beginner level, checked by the end-of-session assessment.
What does the Databricks Training program cover, day by day?+
Day 1: Databricks Fundamentals: Setup and First Notebooks (Workspace, Clusters). Day 2: Data Exploration in Databricks: Manipulation and Advanced SQL (Queries, Joins). Day 3: Spark on Databricks: Distributed ETL (DataFrames, RDD, Optimizations). Day 4: Delta Lake in Databricks: Data Reliability (ACID, Versioning, Z-Order). Day 5: Databricks Workflows: Jobs and MLflow Intro (Orchestration, Deployment). The Databricks Training program runs over 5 days, delivered on site.
How is Databricks Training training assessed?+
Assessment relies on multiple-choice quiz to validate learning outcomes at the end of the training, continuous assessment through practical Databricks exercises and presentation of the ongoing Lakehouse project to the trainer. Learni issues a completion certificate together with the individual assessment report at the end of the Databricks Training program, which an L&D team can file as evidence.
How much does Databricks Training training cost per participant?+
Databricks Training training costs $5,775 per participant. For an in-company team, the flat rate starts at $10,395 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does Databricks Training training take?+
5 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for Databricks Training training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before Databricks Training training?+
Basic knowledge of Python and SQL, familiarity with structured data concepts.
Is a certificate issued after Databricks Training training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Does Learni provide the equipment for Databricks Training training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
Your professional training, anywhere
Let's build your Databricks learning path.
30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.
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