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 - Master Large-Scale Data Pipelines
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
- Set up a Databricks workspace for scalable projects
- Develop ETL pipelines with Delta Lake and Spark
- Optimize Spark job performance in clusters
- Integrate machine learning with MLflow
- Automate workflows via Databricks Workflows
- Analyze real-time data with Structured Streaming
Databricks curriculum: 4 modules over 4 days
Module 1 : Databricks Fundamentals: Installation and Collaborative Notebooks (Spark, Delta Lake)
Dive into the Databricks universe by creating your first workspace, configure interactive Spark clusters, write notebooks in Python and SQL to explore massive datasets, complete hands-on exercises on Delta Lake to manage ACID tables, produce your first deliverables like an interactive dashboard, and discover tips for seamless team collaboration.
Module 2 : Data Engineering: Advanced ETL Pipelines (Delta Live Tables, Spark SQL)
Build robust ETL pipelines with Delta Live Tables, process large data streams using Spark SQL and DataFrames, apply complex transformations on real-world cases like IoT log ingestion, test data quality in real-time, generate automated reports, and validate your skills with a complete ETL project to take away.
Module 3 : Machine Learning and Streaming: MLflow, Structured Streaming (Models, Jobs)
Deploy ML models with MLflow by logging experiments and artifacts, integrate Structured Streaming to analyze real-time data like Kafka streams, train ML pipelines on GPU clusters, monitor performance live, collaborate on shared runs, and produce a production-ready predictive model.
Module 4 : Optimization and Automation: Workflows, Cluster Tuning (Best Practices, Security)
Master Databricks Workflows to orchestrate multi-step jobs, optimize clusters with Auto Scaling and Photon Engine, apply tuning techniques on real benchmarks, secure environments with Unity Catalog, simulate production deployments, and conclude with a complete case study and certifiable final deliverable.
How Databricks skills are assessed
- Daily interactive quizzes, daily practical projects, internal Databricks certification
How the Databricks course is taught
- Hands-on workshops, real business cases, personalized coaching in small groups
Databricks training: access and practical arrangements
The Databricks Training - Master Large-Scale Data Pipelines 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 - Master Large-Scale Data Pipelines 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 - Master Large-Scale Data Pipelines 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 spark, delta Lake, delta Live Tables, spark SQL, models and jobs. Those tools come from the Databricks Training program itself, delivered on site over 4 days, so participants practise on the stack they will use at work.
What can participants do after Databricks Training training?+
They can set up a Databricks workspace for scalable projects, develop ETL pipelines with Delta Lake and Spark and optimize Spark job performance in clusters. Those are the stated objectives of the Databricks Training program at Intermediate level, checked by the end-of-session assessment.
What does the Databricks Training program cover, day by day?+
Day 1: Databricks Fundamentals: Installation and Collaborative Notebooks (Spark, Delta Lake). Day 2: Data Engineering: Advanced ETL Pipelines (Delta Live Tables, Spark SQL). Day 3: Machine Learning and Streaming: MLflow, Structured Streaming (Models, Jobs). Day 4: Optimization and Automation: Workflows, Cluster Tuning (Best Practices, Security). The Databricks Training program runs over 4 days, delivered on site.
How is Databricks Training training assessed?+
Assessment relies on daily interactive quizzes, daily practical projects, internal Databricks certification. 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 $4,620 per participant. For an in-company team, the flat rate starts at $7,865 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?+
4 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?+
Basics in Python or SQL, knowledge of Spark, experience with large-scale data processing.
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.
Reply within 24h · Vetted experts · USD invoicing · W-9 available
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