Azure Databricks Training & Online Certification Course

Learn Azure Databricks through instructor-led sessions, guided labs and end-to-end data engineering projects. This course covers Apache Spark, PySpark, Delta Lake, Unity Catalogue, Lakeflow Connect, Lakeflow Spark Declarative Pipelines, Lakeflow Jobs, CI/CD, monitoring and performance optimisation.
The curriculum is aligned for the Microsoft Certified: Azure Databricks Data Engineer Associate (DP-750) and the Databricks Certified Data Engineer Associate exam. It also introduces advanced skills measured in the Databricks Data Engineer Professional certification.
 
  • Course format: 20 hours live online or 14 self-paced
  • Hands-on Lab access: you can practise free on Databricks Free Edition — no paid licence or cloud account required.
  • Curriculum review: August 2026
  • Primary lab runtime: Databricks Runtime 18 LTS
Join the cohortGet instant access (self-paced)
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528 learners
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Join the cohortGet instant access (self-paced)
Azure Databricks Training & Online Certification Course

Why Learn Azure Databricks at MindMajix ?

100% Money back guarantee

  • Hands-On Azure Databricks Labs

  • Curriculum mapped to latest Databricks Data Engineer Associate exam domains

  • Real-World Data Engineering Projects

  • Flexible Schedules — weekday & weekend batches

  • Live 1-on-1 Doubt Clearing

  • Career path guidance & Support

Azure Databricks Course Overview

Azure Databricks is Microsoft Azure’s managed implementation of the Databricks Data Intelligence Platform.
MindMajix's Azure Databricks training takes you from your first notebook to production-grade data pipelines, with hands-on labs in Spark SQL, PySpark, Delta Lake, Auto Loader and Unity Catalog. This course teaches you how to turn raw batch and streaming data into governed, analytics-ready datasets. You will learn the full engineering lifecycle: selecting compute resources, ingesting data, building transformations, enforcing data quality, scheduling workloads, deploying code, and troubleshooting performance issues.
 

What You Will Learn

By the end of the Azure Databricks training, you should be able to:
    • Explain Azure Databricks workspace and platform architecture.
    • Select serverless, job, shared, classic, or SQL compute for a workload.
    • Develop transformations with SQL, Python, PySpark and Spark DataFrames.
    • Build managed and external Delta tables in Unity Catalog.
    • Design Bronze, Silver and Gold layers for a lakehouse.
    • Ingest batch data with Lakeflow Connect, notebooks, SQL, Azure Data Factory and Auto Loader.
    • Process streaming data from files, Kafka-compatible sources and Azure Event Hubs.
    • Implement change data capture and incremental processing.
    • Build Lakeflow Spark Declarative Pipelines in SQL and Python.
    • Configure Lakeflow Jobs, task dependencies, schedules, triggers and alerts.
    • Apply data-quality expectations and handle schema evolution.
    • Secure data with Unity Catalog privileges, row filters and column masks.
    • Use Microsoft Entra identities, service principals, managed identities and Azure Key Vault.
    • Deploy code with Git, the Databricks CLI and Declarative Automation Bundles.
    • Investigate skew, shuffles, spills, caching and slow queries.
    • Optimise Delta tables, Spark workloads, and compute costs.
    • Monitor Azure Databricks workloads using platform tools and Azure Monitor.
Azure Databricks Training
demo play

Course Coverage

Course Eligibility | Azure Databricks Training

Who Should Attend Azure Databricks Training

No big-data background required to start. Whether you're new to IT or moving into data engineering, MindMajix offers a structured path to learn Azure Databricks.

Choose your profile view
For Freshers & Career Switchers
New to data engineering? You can start with basic SQL — no Spark or cloud experience needed.
Who is this for
FreshersStudentsCareer SwitchersAspiring Data EngineersBI & SQL AnalystsData Enthusiasts
Prerequisites - What You Need
  • Basic computer literacy and comfort using a web browser — the Databricks workspace and notebooks run in-browser
  • Basic SQL is the most useful starting point; it maps directly to Spark SQL and Databricks SQL
  • Interest in data, analytics, ETL and cloud — no prior big-data, Spark or Azure experience needed to begin
  • No programming background required to start; Python (PySpark) basics are introduced gradually in-course
For Working Professionals
Already work with SQL or Python? Fast-track to the Databricks Data Engineer Associate & Professional.
Who is this for
SQL / ETL DevelopersData / BI AnalystsPython DevelopersData Warehouse EngineersCloud & DevOps EngineersData Scientists
Helpful Background (Not Mandatory)
  • SQL proficiency is the strongest prerequisite — it maps directly to Spark SQL and Databricks SQL
  • Python fundamentals help most for the data-engineering track, since PySpark is the primary language for pipelines
  • Familiarity with ETL, data warehousing or data-pipeline concepts accelerates the transformation and modeling work
  • Azure basics (ADLS, ADF) are useful but not mandatory — Spark, Delta Lake, Unity Catalog and Lakehouse concepts are taught in-course, and Databricks exams have no formal certification prerequisite

Your Course Journey — From Enrolment to Career Readiness

What to Expect from Your Azure Databricks Training

Six guided stages take you from your first Databricks workspace login to your first offer — each one backed by a specific MindMajix support service.

Stage 1

Enrol & Get Set Up

Pick live online or self-paced, activate your LMS, and spin up a free Azure Databricks workspace — using the 14-day Azure free trial or the no-cost Databricks Free Edition (serverless, no cloud account required) — so you're working in notebooks from day one. No paid licence needed.

  • Live or self-paced
  • 1-year LMS access
  • Agile & Scrum add-on
  • Free Databricks workspace
Stage 2

Learn & Build Real Pipelines

Master Azure Databricks on the current Data Intelligence Platform, applying every concept in hands-on labs and real-time projects with one trainer throughout — Spark SQL and PySpark, Delta Lake, Auto Loader ingestion, the medallion architecture and Lakeflow Jobs.

  • Instructor-led + labs
  • 1-on-1 doubt clearing
  • Recording access
  • Delta Lake & PySpark labs
  • Auto Loader & Lakeflow Jobs
  • Unity Catalog governance
Stage 3

Earn Your Certificate

Clear the assessments for your shareable MindMajix completion certificate. Modules map to the domains of the Databricks Certified Data Engineer Associate blueprint — and toward the Professional — for exam-aligned prep. Databricks exams are USD 200 and valid for two years.

  • MindMajix certificate
  • Practice questions
  • DE Associate cert-aligned
  • Pipeline testing & debug
Stage 4

Polish Your Profile

Turn skills into a profile recruiters notice — build an interview-ready resume and a strong LinkedIn presence, positioned for Azure Databricks, Data Engineer and Lakehouse roles, using proven data-engineering resume templates.

  • Resume building
  • LinkedIn optimisation
  • Resume templates
Stage 5

Practice Interviews

Walk in already rehearsed. Sit structured mock-interview rounds with experienced SMEs and get focused feedback on pipeline design, Spark optimization, Delta Lake and Unity Catalog scenarios.

  • Real-time Scenarios
  • Personalised feedback
  • Azure Databricks mock interviews
  • SME mock interviews
  • Pipeline design scenarios
Stage 6

Land Your Role

Apply with confidence using job-search assistance and referrals to hiring partners across India and the USA. Keep your Databricks credential current — it stays valid for two years and can be renewed. (Career support provided; placement not guaranteed.)

  • Job-search assistance
  • Hiring-partner referrals
  • Role guidance
Azure Databricks EngineerData EngineerAnalytics EngineerData Platform Engineer

Start the journey today - choose the format that fits you.

Azure Databricks Course Content

MindMajix’s Azure Databricks course curriculum covers the essential modules to bridge the skills gap between Azure Databricks professionals and current industry demands. We have updated our course content to include the latest features of the Azure Databricks platform.

15Modules
47Topics
Open any module to view the full topic list.
  1. 01Introduction to Azure Databricks & the Lakehouse3 topics
    • What is Azure Databricks; the Data Intelligence Platform and lakehouse model
    • Create an Azure Databricks workspace, cluster and serverless compute
    • Working with Databricks notebooks
  2. 02Spark Architecture Basics3 topics
    • Overview of Apache Spark architecture
    • The architecture of an Azure Databricks Spark cluster
    • The anatomy of a Spark job, stages and tasks
  3. 03Reading & Writing Data in Azure Databricks4 topics
    • Read data in CSV and JSON
    • Read data in Parquet
    • Read data stored in views and tables
    • Write data; introduction to the Delta format
  4. 04DataFrames in Azure Databricks3 topics
    • What is a DataFrame?
    • Common DataFrame methods
    • The display function and data visualisation
  5. 05Lazy Evaluation & Performance3 topics
    • Lazy vs eager evaluation; transformations vs actions
    • How the Catalyst optimizer works
    • Performance enhancements: Tungsten, shuffles, and Photon
  6. 06DataFrame Columns2 topics
    • The Column class
    • Working with column expressions
  7. 07Advanced DataFrame Methods2 topics
    • Date and time manipulation
    • Aggregate and window functions
  8. 08Platform Architecture & Data Protection4 topics
    • Azure Databricks platform architecture
    • Data protection and encryption
    • Azure Key Vault–backed secret scopes
    • Secure access with Microsoft Entra ID (Azure AD) and IAM
  9. 09Delta Lake: Building & Querying a Data Lake3 topics
    • Open-source Delta Lake: ACID, time travel, schema evolution
    • How Azure Databricks manages Delta Lake
    • Table optimisation: OPTIMIZE, Z-ORDER, Liquid Clustering
  10. 10Data Governance with Unity Catalog3 topics
    • Unity Catalog architecture: metastore, catalogs, schemas
    • Managing access control, data lineage and auditing
    • Managed vs external tables and storage credentials
  11. 11Data Ingestion with Auto Loader & Lakeflow3 topics
    • Incremental ingestion with Auto Loader
    • Lakeflow Connect for managed ingestion
    • Lakeflow Spark Declarative Pipelines
  12. 12Medallion Architecture & Structured Streaming3 topics
    • Bronze → Silver → Gold medallion design
    • Structured Streaming fundamentals and time windows
    • Streaming from Azure Event Hubs; batch + stream unification
  13. 13Productionising Pipelines with Lakeflow Jobs & ADF3 topics
    • Orchestrating with Lakeflow Jobs
    • Scheduling Databricks jobs in Azure Data Factory pipelines
    • Passing parameters in and out of Databricks jobs
  14. 14CI/CD with Databricks Asset Bundles & Azure DevOps4 topics
    • What is CI/CD for data engineering
    • Databricks Asset Bundles (DABs)
    • Defining and deploying jobs as code
    • Git integration and building a CI/CD pipeline with Azure DevOps
  15. 15Integrating Azure Databricks with Azure Synapse & Best Practices4 topics
    • Connecting Azure Databricks with Azure Synapse Analytics
    • Workspace administration and security best practices
    • Databricks Runtime and cluster best practices
    • Tools, integration and cost-optimisation best practices

Hands-on Azure Databricks Projects & Assignments

Our Azure Databricks Training course aims to deliver quality training that covers solid fundamental knowledge on core concepts with a practical approach. Such exposure to the current industry use-cases and scenarios will help learners scale up their skills and perform real-time projects with the best practices.

  1. Use Case #1: Customer Retention of Carrier - X

  2. Use Case #2: Product Recommendation Engine - MM Retail

  3. Use Case #3: Suspicious Activity Detection System (SADS)

logoTraining Options

Choose how you learn best

Both options cover the full curriculum and include most of the certification topics

Most flexible

Self-paced

20 hrs

Learn anytime, at your own pace — complete the course in weeks or months.

What you get
  • 20 hours of Azure Databricks Training videos
  • Curated and delivered by SME
  • Hands-On Lab sessions
  • Resources/materials
  • Sample Resumes
  • Get one year access to the LMS
  • Community forum support
  • Free Agile & Scrum add-on course
Not included
  • Live instructor & Q&A sessions
  • 1-on-1 doubt clearing calls
  • Mock interview & resume review

20% Off

$160

$200

Get Full Access

Most Popular

Live online (instructor-led)

20 hrs

Real-time classes with a certified expert — ask questions, get instant feedback, and walk away job-ready

Everything in self-paced, plus
  • Live Zoom/Meet sessions with instructor
  • 1-on-1 doubt clearing sessions
  • Live project walkthroughs
  • certification guidance
  • Mock interviews with SME panel
  • Resume & LinkedIn profile review
  • Job referral to hiring partners
  • Session recordings to rewatch anytime
  • Agile & Scrum add-on course free
Next batch starts
Aug11
Aug 11 - Aug 26Next batchET (US)

07:00 PM ET · Weekday · Limited seats available

20% Off

$352

$440

Azure Databricks Training Schedule

20 hrs · Live online · Recordings included

Weekday (Mon-Fri)

Aug 11 - Aug 26

2 weeks · 20 hrs total

Time07:00 PM ET
ModeLive online

Zoom / Google Meet

Weekend (Sat-Sun)

Aug 15 - Aug 30

3 weekends · 20 hrs total

Time07:00 PM ET
ModeLive online

Zoom / Google Meet

i

Need a different time? We offer and at any timezone. Contact a course advisor to set one up.

Azure Databricks Corporate Training

Empower your team with new skills to Enhance their performance and productivity.

Corporate Training

  • Customized course curriculum as per your team's specific needs
  • Training delivery through self-Paced videos, live Instructor-led training through online, on-premise at Mindmajix or your office facility
  • Resources such as slides, demos, exercises, and answer keys included
  • Complete guidance on obtaining certification
  • Complete practical demonstration and discussions on industry use cases
Learn MoreContact us

Served 130+ Corporates

Corporate Clients

Azure Databricks Certification Preparation

MindMajix Course Completion Certificate:

On completing all assessments and quizzes, you receive a shareable MindMajix certificate demonstrating hands-on Azure Databricks data-engineering skill — add it to LinkedIn and your portfolio.

 

Azure Databricks Certifications:

MindMajix's Azure Databricks course curriculum aligns with the official Azure Databricks certification exam topics. So learning Azure Databricks with MindMajix helps you pass the exams more confidently.

The table below maps the Azure Databricks certification exam blueprint to the corresponding MindMajix course modules for better clarity.

 

Certification Exam Exam Topics MindMajix Modules
Databricks Certified Data Engineer Associate Databricks Intelligence Platform
  • Introduction to Azure Databricks
  • Spark Architecture Basics
  • Lazy Evaluation and Performance Features of Azure Databricks
  • Platform Architecture, Data Protection in Azure Databricks
  • Building and Querying a Data Lake
Development and Ingestion
  • Introduction to Azure Databricks
  • Read and Write Data in Azure Databricks
  • DataFrames in Azure Databricks
  • DataFrames Columns in Azure Databricks
Data Processing and Transformations
  • Spark Architecture Basics
  • Read and Write Data in Azure Databricks
  • DataFrames in Azure Databricks
  • Lazy Evaluation and Performance Features of Azure Databricks
  • DataFrames Columns in Azure Databricks
  • DataFrames Advanced Methods in Azure Databricks
  • Building and Querying a Data Lake
Productionizing Data Pipelines
  • Read and Write Data in Azure Databricks
  • Lazy Evaluation and Performance Features of Azure Databricks
  • Platform Architecture, Data Protection in Azure Databricks
  • Process the Streaming Data with Azure Databricks Structured Streaming
Data Governance and Quality
  • Platform Architecture, Data protection in Azure Databricks
  • Building and Querying a Data Lake

 

Sources: Databricks Certified Data Engineer Associate

Databricks Data Engineer Associate — Exam Quick Facts

Attribute Detail
Credential Databricks Certified Data Engineer Associate
Issued by Databricks (platform-agnostic — valid for Azure, AWS, GCP)
Questions / time 45 questions · 90 minutes
Cost USD 200 (+ local tax) per attempt
Validity 2 years
Prerequisite None (≈6 months hands-on recommended)
Blueprint domains (2026) Databricks Intelligence Platform (10%) · Development & Ingestion (30%) · Data Processing & Transformations (31%) · Productionizing Data Pipelines (18%) · Data Governance & Quality (11%)

 

MindMajix certificate
Zoom

Meet Your Azure Databricks Instructor

Learn from the certified and real time working professionals.

instructor

Training by

John , having 10+ yrs of experience

Specialized in:
DatabricksPythonSQLApache Spark and PySparkAzure Data FactoryMicrosoft Entra securityCI/CD and deployment

Your training is led by John - a practising data engineer with 10+ years of real-world experience building lakehouse and data-pipeline solutions on Azure Databricks in production. Our instructors work day-to-day with the same stack you'll learn — Spark SQL and PySpark, Delta Lake, Unity Catalog, Auto Loader and Lakeflow.

Honest Comparison

MindMajix Azure Databricks Training vs Other Institutes

We believe in transparency. Here's how MindMajix stacks up against typical Azure Databricks Training providers so you can compare value, support, and practical depth clearly.

Our CourseMindMajix

Azure Databricks Training

learners528 learners
Other Institutes

Generic Azure Databricks Training Providers

Curriculum

Course Content

MindMajix

End-to-end Azure Databricks on the current Data Intelligence Platform — Lakehouse and Delta Lake, Spark SQL / PySpark, Auto Loader ingestion, Lakeflow Jobs, Unity Catalog governance and CI/CD — mapped to the May 2026 Databricks Certified Data Engineer Associate and Professional blueprints.

Always current
Other Institutes

Often still teaches Spark 2.x, DBFS-only patterns or legacy hive-metastore workflows, skipping Unity Catalog, Lakeflow and the current medallion (Bronze/Silver/Gold) architecture.

Frequently outdated
Curriculum

Hands-On Lab Access

MindMajix

Guided hands-on labs in a real Azure Databricks workspace — build Bronze/Silver/Gold pipelines with Delta Lake, Auto Loader and Lakeflow Jobs — using the 14-day Azure free trial or the no-cost Databricks Free Edition (serverless, no cloud account required).

Included at no extra cost
Other Institutes

Mostly slide-based theory with screen recordings; learners are left to provision their own workspace and never build a working pipeline under guidance.

Limited / paid extra
Instructor

Trainer Credentials

MindMajix

Working data engineers who have shipped Azure Databricks pipelines into production — Spark, Delta Lake, Unity Catalog and Azure data integration (ADLS, ADF) — not just slide theory.

Verified expertise
Other Institutes

Freelance trainers with uneven exposure who often demo notebooks without having run Databricks at scale or handled Unity Catalog governance and performance tuning.

Varies widely
Instructor

Trainer Continuity

MindMajix

A single dedicated trainer for the full batch — consistent delivery, uniform code review of your notebooks and pipelines, and continuous project mentorship.

Consistent trainer
Other Institutes

Trainers swapped mid-module, causing disjointed coverage of Spark, Delta Lake, orchestration and governance.

Frequent changes
Support

Doubt Clearing

MindMajix

1-on-1 sessions to debug what actually breaks: skewed joins and shuffle spills, Auto Loader schema evolution, Delta MERGE conflicts, cluster / Photon tuning and Unity Catalog permissions.

Extended support
Other Institutes

Help typically ends when the live class does, with no dedicated channel for troubleshooting real pipeline failures.

No post-training help
Placement

Job Assistance

MindMajix

Resume and LinkedIn positioning for Azure Databricks, Data Engineer and Lakehouse roles, interview preparation, and job-search support through MindMajix's hiring-partner network across India and the USA. (Career support provided; placement not guaranteed.)

Active placement support
Other Institutes

Placement help limited to generic broadcast emails or shared public job lists.

Mostly nominal
Placement

Mock Interviews

MindMajix

Structured mock interviews on real Databricks scenarios — medallion design, batch vs streaming, Delta optimization (OPTIMIZE, Z-ORDER, liquid clustering), Unity Catalog governance and cost tuning — with expert feedback.

Included
Other Institutes

Learners prepare on their own; no structured, role-specific mock interview feedback.

Not included
Schedule

Batch Flexibility

MindMajix

Weekday and weekend tracks with the freedom to switch batches or pause and resume at no extra cost.

Fully flexible
Other Institutes

Rigid schedules with few alternatives and penalties for missed sessions.

Limited options
Certification

Exam Preparation

MindMajix

Certification guidance aligned to the current Databricks blueprints — Data Engineer Associate (45 scored questions, 90 minutes) and Professional (59 scored questions, 120 minutes), both USD 200 and valid two years — with heavier practice on ingestion, transformation and Lakeflow Jobs.

Comprehensive prep
Other Institutes

Recycled dumps that reflect retired Spark 2.x exams, not the May 2026 scenario-based blueprint — and some wrongly imply a 'Microsoft Azure Databricks' certification that does not exist.

Outdated mock tests
Value

Price Range

MindMajix

Single, all-inclusive fee covering live sessions, hands-on labs, real-time projects, certification guidance and LMS access. The Databricks exam fee (USD 200 per exam, roughly Rs. 20,000 in India with 18% GST) is paid directly to Databricks and stated upfront, never hidden.

Best value for inclusions
Other Institutes

Lower headline price that later adds charges for labs, materials or mock tests — and some providers imply the USD 200 Databricks exam fee is bundled when it is not.

Hidden add-on costs
Value

Recording Access

MindMajix

Lifetime-style access to HD recordings of every live session — useful because Databricks ships frequent platform updates and you'll want to revisit topics as Lakeflow, Unity Catalog and Spark evolve.

Lifetime-style access
Other Institutes

Time-limited portal access that expires soon after the course ends, with no refreshed material as Databricks changes.

Time-limited access

Azure Databricks Training FAQs

Can a fresher or non-IT person learn Azure Databricks?

Yes. You can begin with SQL and notebooks inside the browser-based Databricks workspace with no setup and no prior big-data experience. MindMajix starts from the fundamentals of SQL, the Lakehouse and Delta Lake, and introduces Python (PySpark) gradually as you progress toward the Data Engineer Associate track.

Do I need programming experience to start learning Azure Databricks?

Not to begin. A lot of early work is SQL-based, which is beginner-friendly. Python (PySpark) becomes important as you move into pipeline development, and it is taught step by step in-course — you do not need to know it before you start.

What is the minimum qualification to enrol?

Any graduate from any discipline can enrol. There is no mandatory IT or computer-science degree to start learning Azure Databricks — basic computer literacy, some comfort with SQL, and consistent hands-on practice in the Databricks workspace matter most.

Which Databricks certification should a fresher target first?

Begin with Databricks' free self-paced accreditations — Lakehouse Fundamentals and Generative AI Fundamentals — to lock in the platform basics at no cost, then target the Databricks Certified Data Engineer Associate (45 questions, 90 minutes, USD 200, valid two years). Note there is no separate 'Microsoft Azure Databricks' certification — the credentials are issued by Databricks and apply on Azure, AWS and GCP alike.

Is Azure Databricks the same as Databricks?

Azure Databricks is Databricks delivered as a first-party service within Microsoft Azure, with native integration with Azure Data Lake Storage, Azure Data Factory, Microsoft Entra ID, and Azure Synapse. The core engine, notebooks, Delta Lake, Unity Catalog, and Spark runtime are the same platform you'd use on AWS or GCP — the difference lies in the surrounding Azure services and billing.

Is Azure Databricks useful for working data and IT professionals?

Directly. Databricks is the market-leading Lakehouse platform — the company states more than 20,000 organizations and over 60% of the Fortune 500 run on it — so SQL/ETL developers, Python engineers, BI analysts and cloud engineers are in steady demand for Azure Databricks data-engineering roles.

I know SQL and Python — will my skills transfer to Azure Databricks?

Directly. Your SQL maps to Spark SQL and Databricks SQL, and your Python maps to PySpark for building pipelines. Existing ETL, data-warehousing and cloud experience carries straight over to Delta Lake, Auto Loader, Lakeflow Jobs and Unity Catalog — the genuinely new material is the Lakehouse model and Spark's distributed execution.

Which Databricks certification should a working professional target?

The Databricks Certified Data Engineer Associate (45 scored questions, 90 minutes, USD 200, valid two years) for core pipeline skills, then the Data Engineer Professional (59 scored questions, 120 minutes, USD 200). There is no formal prerequisite, but clearing the Associate first is strongly recommended before the Professional.

How long does it take an experienced professional to get certified?

With a solid SQL and Python background, most professionals reach Data Engineer Associate readiness in about 8–12 weeks of part-time study plus hands-on Databricks practice. Hands-on time is essential — the exam is scenario-based, and reading alone does not carry it.

Which Databricks Runtime and Spark version does the course use?

The course reflects the current platform — Apache Spark 4.x on Databricks Runtime 17.x (the 17.3 LTS runtime ships Spark 4.0). Concepts such as DataFrames, Delta Lake and Structured Streaming are taught in a version-agnostic way so your skills transfer as runtimes update.

Azure Databricks vs Microsoft Fabric — which should I learn?

Microsoft Fabric is a SaaS analytics suite tightly bound to the Microsoft ecosystem; Azure Databricks is an open, Spark-based lakehouse for large-scale, code-first data engineering and ML across clouds. Many enterprises run both. This course focuses on Databricks data-engineering skills, which are in high demand across cloud providers.

Azure Databricks vs Snowflake?

Snowflake began as a cloud data warehouse; Databricks began as a Spark-based lakehouse unifying engineering, analytics and AI. Databricks tends to win in large-scale data engineering, streaming, and ML/AI workloads, as well as with open formats (Delta, Iceberg); the two increasingly compete across analytics. Skills in either are valuable — this course builds the Databricks side.

How do I register for the Databricks certification exam, and what does it cost?

You register through the Databricks certification portal; the Data Engineer Associate and Professional exams are USD 200 each (plus local tax). There is no formal prerequisite.

Do you accept learners from all countries?

Yes, we accept learners across the globe. Learners must have basic English communication skills to follow the training sessions effectively.

I don't have any industry experience. Can I still join the Azure Databricks training?

Yes. You can join. MindMajix trainers start with foundational Azure Databricks concepts so you can learn comfortably, even without prior experience.

I already have some experience with Azure Databricks. Can I skip the basic modules?

We customize the training based on your prior Azure Databricks knowledge and learning needs.

What if I face difficulties during the learning process?

MindMajix trainers will guide you throughout the training. We also provide additional learning resources and real-time projects to ensure you have a smooth learning experience.

Is there a maximum batch size for this training?

We offer flexible batch sizes and provide one-on-one training based on your preferences.

How do you assign trainers for the Azure Databricks training?

Our trainers typically have over 10 years of real-world experience. Our Azure Databricks trainer has extensive industry experience implementing data engineering and lakehouse solutions.

How important is hands-on learning in your Azure Databricks training?

You will work on various lab exercises and real-time projects, and explore real-world examples to gain strong practical skills in Databricks notebooks and Delta Lake operations.

How do you deliver hands-on projects during the training?

We will provide you with real-time Azure Databricks projects listed under the Project section of this webpage to sharpen your Databricks hands-on skills.

Do you provide support if technical issues arise during training?

Yes, our dedicated technical support team is available to help resolve technical issues promptly.

What is the format of the final assessment?

The final assessment includes multiple-choice questions designed to evaluate your understanding of Azure Databricks and Spark operations.

Does the Azure Databricks course guarantee a job?

No training provider can guarantee placement, and we don't. We do provide substantial career support — a project portfolio, resume and LinkedIn review, mock interviews with SMEs, and referrals to hiring partners across India and the USA.

What if I miss a session?

You can watch recordings of any missed sessions at any time through our LMS.

How can I contact your support team?

You can reach our support team by phone, WhatsApp, or via the contact form on our website.

What are the system requirements for attending this training?

You will need:

  • A laptop, desktop, or tablet
  • Zoom or Google Meet installation
  • Windows, macOS, or Linux operating systems
  • A stable, high-speed internet connection

What is your typical response time for addressing queries?

Our support team responds to learner queries promptly.

What is the validity of the Azure Databricks course completion certificate?

MindMajix's Azure Databricks course completion certificate is valid for a lifetime.

What payment methods do you accept for training fees?

We accept payments via credit/debit cards, UPI, and net banking for your convenience.

How long can I access the self-paced pre-recorded videos in the LMS?

You will have access to the self-paced Azure Databricks training videos for one year. You can renew your access annually at a discounted price.

More general questions? See our FAQ ↗
TESTIMONIALS
What Learners say about Mindmajix
Quote

Joining this Azure Databricks course was...

(5/5)

Joining this Azure Databricks course was one of the best decisions of my life. I am delighted and satisfied with thor course content and 24/7 support team. The experience was fantastic.

S

Srilekha

Senior Technical Consultant

Quote

I heard about MindMajix from my...

(5/5)

I heard about MindMajix from my brother, and I had no idea about it initially. But now that I have completed my Azure Databrickc course from MindMajix, it has become an indivisible part of my career journey. Thank you, MindMajix.

N

Niharika

Architect-DWS

Quote

I am happy to complete this...

(5/5)

I am happy to complete this Azure Databricks training from MindMajix. I appreciate the team of MindMajix for offering an amazing learning experience using real-world case studies and projects.

M

Mamatha

Senior Technical Consultant

Career Roadmap

Your Path to Becoming an Azure Databricks Expert

Five progressive stages from Databricks Lakehouse foundations to enterprise data-platform architect, with typical India (LPA) and USA (USD) salary ranges for 2026. Databricks certifications are issued by Databricks — not Microsoft — and are platform-agnostic, so they validate your skills on Azure Databricks, AWS or GCP alike. Stage 5 is an experience-based architect milestone, as Databricks has no single architect exam.

01
Beginner
STAGE 1 · BEGINNER

Databricks Lakehouse & Azure Foundations

Learn the Azure Databricks workspace, the Lakehouse architecture, Delta Lake, Apache Spark basics and the medallion (Bronze/Silver/Gold) pattern. Databricks' free, self-paced accreditations — Lakehouse Fundamentals and Generative AI Fundamentals — are a no-cost on-ramp before any paid exam. No prior Databricks experience needed.

Rs. 4.5–7 LPA entry-level
$80k–100k /year
Azure Databricks WorkspaceLakehouse ArchitectureDelta Lake BasicsApache Spark FundamentalsMedallion ArchitectureNotebooks & Clusters
02
Associate
STAGE 2 · ASSOCIATE

Databricks Certified Data Engineer Associate

The entry-level paid credential and the track most Azure Databricks learners target. Build and operate pipelines with Spark SQL / PySpark, Delta Lake, data ingestion (Auto Loader), Lakeflow Jobs, Unity Catalog and CI/CD. 45 scored questions, 90 minutes, USD 200, valid 2 years. No formal prerequisite; roughly 6 months of hands-on is recommended. Blueprint refreshed in May 2026.

Rs. 6–12 LPA
$100k–130k /year
Spark SQL & PySparkDelta LakeData Ingestion (Auto Loader)Lakeflow JobsUnity CatalogCI/CD with Databricks CLI
03
Professional
STAGE 3 · PROFESSIONAL

Databricks Certified Data Engineer Professional

Advanced data engineering: production-grade pipelines, change data capture, streaming, performance and cost optimization, testing, deployment and governance at scale. 59 scored questions, 120 minutes, USD 200, valid 2 years. There is no formal prerequisite, but Databricks and practitioners strongly recommend clearing the Associate first — first-attempt pass rates are notably lower here.

Rs. 14–24 LPA
$130k–162k /year
Advanced Spark & StreamingChange Data CapturePerformance & Cost OptimizationData ModelingTesting & DeploymentGovernance at Scale
04
Specialist
STAGE 4 · SPECIALIST

Specialize — ML, GenAI, Spark or Analytics

Branch into a high-demand specialty — each its own USD 200 / 2-year exam: Machine Learning Associate & Professional (MLflow, AutoML, model serving), Generative AI Engineer Associate (RAG, Vector Search, Unity Catalog governance), Associate Developer for Apache Spark 3.5 – Python, or Data Analyst Associate (Databricks SQL). Databricks also offers a newer Context Engineering Associate for agentic-AI systems.

Rs. 18–30 LPA
$150k–190k /year
MLflow & AutoMLModel ServingGenerative AI & RAGVector SearchSpark DataFrame APIDatabricks SQL & Dashboards
05
Architect
STAGE 5 · ARCHITECT

Lakehouse / Data Platform Architect

Own enterprise Lakehouse strategy on Azure Databricks: platform administration, Unity Catalog governance, multi-workspace design, security, and cost and performance at scale, integrated with the wider Azure data stack (ADF, Synapse, ADLS). Databricks has no single 'architect' certification — this is an experience-based milestone, typically backed by the free Platform Administrator and Cloud Architect accreditations and 8+ years across data engineering.

Rs. 28–45 LPA + lead roles
$180k–226k+ /year
Lakehouse Platform DesignUnity Catalog GovernancePlatform AdministrationSecurity & ComplianceCost & Performance at ScaleAzure Data Integration

Outcome: an honest path from Azure Databricks beginner to enterprise Lakehouse architect, covering every current Databricks certification plus the specialist and architect roles that follow. All paid exams are USD 200, valid two years, and delivered online-proctored or at a test center; there is no separate "Microsoft Azure Databricks" certification — the credentials are vendor exams from Databricks that apply equally on Azure, AWS and GCP. MindMajix prepares you primarily for the Data Engineer Associate and Professional tracks. (Career support provided; placement not guaranteed.) Salary sources (2026): ZipRecruiter – Databricks Data Engineer (US), Glassdoor – Azure Data Engineer (US), PayScale – Senior Data Engineer, Azure (India), ZipRecruiter – Azure Databricks roles, 6figr – Azure Databricks.

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