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.
Learning 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
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.
Don't let this gap widen
Why this program matters
Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.
Organizations that don't train their talents on key topics see their competitiveness drop.
Every quarter without training is a gap widening with competitors who invest.
The cost of inaction quickly exceeds that of well-targeted training.
Program
Module 1Databricks 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 2Data 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 3Spark 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 4Delta 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 5Databricks 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.
Evaluation method
- 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
Learning method
- 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
Methods, materials and delivery
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.
Our method
Training quality, guaranteed at every step
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.
Suggestions
You might
like these too.
Data EngineeringIndustry-certifiedTraining Redshift Advanced - Optimize Performance and Scaling
$2,310Net of tax
Data EngineeringIndustry-certifiedTraining Airflow Expert - Orchestrate Data Pipelines at Scale
$2,310Net of tax
Big DataIndustry-certifiedTraining Apache Spark - Optimize Your Big Data Processing
$2,310Net of tax
Big DataIndustry-certifiedTraining Delta Lake - Master Reliable ACID Data Lakes
$2,310Net of tax
Data Engineering
More programs in Data Engineering.
Data EngineeringIndustry-certifiedAdvanced Airflow Training - Master Complex Data Pipelines
$3,465Net of tax
Data EngineeringIndustry-certifiedAdvanced Snowflake Training - Optimize Cloud Data Warehouses Effectively
$4,620Net of tax
Data EngineeringIndustry-certifiedAdvanced Snowflake Training - Optimize Performance and Cloud Costs
$3,465Net of tax
Data EngineeringIndustry-certifiedAdvanced dbt Training - Optimize Data Pipelines and Automated Tests
$4,620Net of tax
Data EngineeringIndustry-certifiedChange Data Capture CDC Training - Professional Real-Time Data Synchronization
$6,431Net of tax
Data EngineeringIndustry-certifiedDelta Lake Training - Make Your Data Lakes ACID Reliable
$3,465Net of tax
Big Data
More programs in Big Data.
Big DataIndustry-certifiedAdvanced Apache Spark Training - Optimize Real-Time Big Data
$4,620Net of tax
Big DataIndustry-certifiedAdvanced Apache Spark Training - Optimize Your Big Data Jobs
$5,775Net of tax
Big DataIndustry-certifiedAdvanced Databricks Training - Accelerate Data Pipelines x3
$1,155Net of tax
Big DataIndustry-certifiedAdvanced Databricks Training - Deploy Scalable Data ML Pipelines
$2,310Net of tax
Big DataIndustry-certifiedAdvanced Elasticsearch Training - Optimize Performance and Scaling
$1,155Net of tax
Big DataIndustry-certifiedAdvanced Kafka Training - Master Massive Real-Time Streams
$5,775Net of tax
Data Analysis
More programs in Data Analysis.
Data AnalysisIndustry-certifiedAdvanced Databricks Training - Optimize Your Big Data Pipelines
$4,620Net of tax
Data AnalysisIndustry-certifiedAdvanced Looker Training - Create Expert Dashboards and Predictive Analyses
$4,620Net of tax
Data AnalysisIndustry-certifiedAdvanced Looker Training - Create Ultra-Performing Dashboards
$5,775Net of tax
Data AnalysisIndustry-certifiedAdvanced Looker Training - Master LookML and Professional Dashboards
$1,155Net of tax
Data AnalysisIndustry-certifiedAdvanced Metabase Training - Pro Dashboards and Admin in 3 Days
$3,465Net of tax
Data AnalysisIndustry-certifiedAdvanced Metabase Training - Pro Data Dashboards in 4 Days
$4,620Net of tax
Data Science
More programs in Data Science.
Data ScienceIndustry-certifiedARKit Training - Mastering AR for Immersive Data Visualization
$4,620Net of tax
Data ScienceIndustry-certifiedAdvanced Pandas Training - Optimize Your Analyses of Massive Data
$4,620Net of tax
Data ScienceIndustry-certifiedAdvanced R Training - Master Complex Data Analyses
$1,155Net of tax
Data ScienceIndustry-certifiedAdvanced R Training - Master Complex Statistical Models
$3,465Net of tax
Data ScienceIndustry-certifiedAdvanced R Training - Master Models and Automation
$1,155Net of tax
Data ScienceIndustry-certifiedAmplitude Training - Optimizing Advanced Product Analyses
$1,286Net of tax
FAQ
Frequently asked questions
How much does the Databricks Training - Mastering the Lakehouse for Data Pros training cost?+
The individual price is $5,775 (USD). A detailed quote is sent within one business day.
How long is the Databricks Training - Mastering the Lakehouse for Data Pros training?+
The training lasts 5 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Basic knowledge of Python and SQL, familiarity with structured data concepts
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
On-site & remote
This training across cities
Available on-site and remotely. Pick your city to see the local training center.
Your professional training, anywhere
Let's build
your next
program.
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