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Beginner to Advanced: Job-Ready Databricks Online Course
Learn Databricks through live, hands-on training. Build real-world models and earn a Geeks Analytics certification.
4 Weeks
Duration
8 Modules
Curriculum
1 Capstone
Real Project Duration
Format
Live
Certified
On Completion
- Course overview
Databricks Training Courses & Certification Program
Live Instructor-Led Training by Geeks Analytics
Master Databricks, the industry’s leading Data and AI platform. Learn how to build scalable data engineering pipelines, implement Lakehouse architectures, perform advanced analytics, and develop machine learning solutions that power modern enterprises.
This hands-on Databricks certification training program is designed to help aspiring and experienced professionals gain practical expertise in data engineering, data analytics, Apache Spark, Delta Lake, machine learning, and AI workflows. Through instructor-led sessions, real-world projects, and industry-focused learning, you’ll develop the skills required to succeed in today’s data-driven organizations while preparing for a databricks data engineer certification.
- Why Enroll in This Job Ready Databricks Course?
- Live, interactive training sessions led by Databricks experts
- Hands-on experience with real-world data engineering and analytics projects
- Practical exposure to Apache Spark, Delta Lake, and Lakehouse Architecture
- Industry-aligned curriculum focused on Data Engineering, AI, and Analytics
- Capstone project based on enterprise use cases
- Certification from Geeks Analytics
- Career-focused learning designed to make you job-ready
- What You’ll Learn
- Databricks Lakehouse Platform Architecture
- Data Engineering with Apache Spark
- Charts, KPIs, tables, and custom visuals
- Delta Lake and Data Management
- Data Ingestion, Transformation, and ETL Pipelines
- Databricks SQL for Analytics and Reporting
- Machine Learning and AI Workflows
- Real-Time Data Processing and Streaming Analytics
- Data Governance, Security, and Performance Optimization
- End-to-End Data Platform Development
- Collaborative Analytics and Business Intelligence Solutions
- Course overview
From raw data to a certified, job-ready workflow
Every stage of the Microsoft Databricks toolkit, mapped out end to end – plus everything included along the way.
Start
Databricks Fundamentals
Platform Overview,
Lakehouse Architecture
& Key Concepts
Lakehouse Architecture
& Key Concepts
Data Ingestion & Processing
Ingest Data,
Build Pipelines &
Transform Data
Build Pipelines &
Transform Data
Data Engineering with Databricks
Delta Lake,
Medallion Architecture
& ETL/ELT
Medallion Architecture
& ETL/ELT
Machine Learning &
Al on Databricks
Al on Databricks
MLflow, Model Training,
Deployment &
MLOps
Deployment &
MLOps
Succeed
Collaboration &
Real-World Projects
Real-World Projects
Workspaces, Unity Catalog,
Governance &
Capstone Projects
Governance &
Capstone Projects
CERTIFICATION &BONUS
Also Included
Capstone Project
Mentor Support
LinkedIn Profile Optimization
Real Datasets
Job Assistance
- Capstone project
Build a complete Microsoft Databricks workflow, end to end
Introduction to Databricks
- Databricks Platform Overview
- Lakehouse Architecture Fundamentals
- Databricks Workspace and Environment Setup
Data Engineering with Databricks
- Apache Spark Fundamentals
- Spark DataFrames and Transformations
- ETL Pipeline Development
- Data Processing Best Practices
Delta Lake
- Databricks Platform Overview
- Lakehouse Architecture Fundamentals
- Databricks Workspace and Environment Setup
Databricks SQL
- SQL Analytics and Query Optimization
- Data Exploration and Reporting
- Dashboard Creation and Visualization
Streaming and Real-Time Analytics
- Structured Streaming
- Real-Time Data Processing
- Event-Driven Architectures
Machine Learning & AI
- Machine Learning Lifecycle
- MLflow Fundamentals
- Model Training and Deployment
- AI and Generative AI Integration
Governance & Security
- Unity Catalog
- Data Governance and Compliance
- Access Control and Security Best Practices
Performance Optimization
- Cluster Management
- Spark Optimization Techniques
- Cost and Resource Management
- Capstone Project
Work on a real-world Databricks implementation project covering:
Data ingestion from multiple enterprise data sources
Data transformation using Apache Spark
Delta Lake implementation and optimization
Data analytics and reporting
Machine learning model development and deployment
Business insights and executive dashboards
- GET IN TOUCH
Let’s Build Something Great Together
Have a question or need our expertise? Reach out to us, and let’s start a conversation.
- Capstone project
Build a complete Microsoft Databricks Workflow, end to end
- Who should join?
- Key reasons
Why enroll in this bootcamp?
- 01
We Need You (Our USP)
Great brands are built on uncompromising quality education – not the other way around.
- 02
Job-Oriented Curriculum
Industry-aligned syllabus built around real business problems and in-demand tools.
- 03
Resume Building
Create a professional, ATS-friendly resume that highlights your skills, experience, and achievements.
- 04
Certification That Counts
Issued by Geeks Analytics as a mark of verified, job-ready competence.
- Head to head
Others Versus Geeks Analytics
What sets us apart? What are our USPs over our Competitors?
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Personalised Mentorship
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Structured Curriculum
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1:1 Doubt Clearing Session
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1:1 Project Engagement
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1:1 Doubt Clearing Sessions
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LinkedIn Profile Optimization
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We Need You (Our USP)
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- Skills That Matter!
Certification That Counts!
Issued by Geeks Analytics as a mark of professional competence
- Course fees structure
Virtual classroom experience
Interactive sessions that fit your schedule
Our live online learning combines expert-led instruction with real-time interaction to create an engaging and effective learning environment. With flexible scheduling and collaborative sessions, learners gain deeper insights, stay actively involved, and achieve better learning outcomes.
- Next Cohorts Starts: October 10, 2026
- Schedule (IST): 07:00 pm - 09:00 pm
- Format: Live · Online / Classroom
- Project: Capstone Included
- INR 40,000/- or USD 450/-​​
- Client feedback
Rated 5 of 5 across 500+ reviews
I used to struggle with connecting dashboards to KPIs in my day-to-day work, but the Data Visualization using Power BI course completely changed my perspective. Geeks Analytics helped me learn how to present insights effectively to end users through interactive dashboards, and I’m already noticing the impact in my workplace. Highly recommended!
Zalak M
Business Development Analyst at Bell
I’ve completed the Power BI Course with Geeks Analytics. It was a valuable learning experience where I gained hands-on skills in data cleaning, dashboard creation and using DAX to generate insights. The course was practical and well-structured, making it easy to apply concepts to real-world scenarios. Grateful to the team for their support!
Anoop S Hiraskar
Team Lead at [24]7.ai
I’ve successfully completed the Power BI course with Geeks Analytics. This journey helped me develop practical skills in data cleaning, building interactive dashboards and using DAX to derive meaningful insights. The course was well-organized and focused on real-world applications, making it easy to understand. Thankful to the team for their guidance!
Swati Yadav
Executive at vPersonalize Inc
- Live instructor-led training
Frequently asked questions
What will I learn in the Databricks Masterclass?
You will learn how to use Databricks for data engineering, analytics, and AI workflows. The course covers Lakehouse Architecture, Apache Spark, Delta Lake, ETL pipelines, Databricks SQL, streaming analytics, machine learning, MLflow, governance, security, and performance optimization.
Is this Databricks course suitable for beginners?
Yes. The course is designed to take learners from beginner to advanced concepts. It is suitable for students, fresh graduates, data professionals, software engineers, and professionals transitioning into data engineering or analytics.
Does the Databricks training include hands-on projects?
Yes. The program includes hands-on labs, assignments, and industry-focused projects. The capstone project covers data ingestion, Apache Spark transformations, Delta Lake implementation, analytics, machine learning, and dashboard development using real-world use cases.
Does this Databricks course cover Apache Spark and Delta Lake?
Yes. Apache Spark and Delta Lake are key parts of the curriculum. You will learn Spark fundamentals, DataFrames and transformations, ETL development, Delta Lake, ACID transactions, data versioning, time travel, data quality, and optimization techniques.
Does the Databricks course prepare me for a certification?
The training is designed to build practical Databricks skills and support certification preparation. It covers key areas relevant to Databricks data engineering and platform concepts. Learners should review the latest official certification requirements separately before taking an exam.
What career opportunities can I pursue after Databricks training?
Databricks skills can help prepare you for roles such as Databricks Data Engineer, Data Engineer, Big Data Engineer, Analytics Engineer, Cloud Data Engineer, Machine Learning Engineer, and Data Platform Consultant.