Azure Data Engineering
Build ingestion and transformation on Azure using Data Factory, ADLS, Synapse-style analytics and Databricks.
- ✓ Instructor-led live sessions, online or in Bengaluru
- ✓ Hands-on labs in every module
- ✓ Capstone project with trainer review
- ✓ Curriculum customisable for corporate teams
- ✓ Certificate of completion
Next batch: Sat, 05 Dec 2026 · 40 hours · 5 days
Azure Data Engineering
Duration: 40 hours · 5 days
Next batch: Sat, 05 Dec 2026
Format: Online live · Bengaluru classroom
Modules: 9 · Topics: 42
Level: Intermediate
Fee: ₹17,999
Trusted by leading experts
Upcoming batches
Open batches for individuals; corporate batches on your dates.
| Programme | Starts | Mode | Schedule | Duration | |
|---|---|---|---|---|---|
| Azure Data Engineering | Sat, 05 Dec 2026 | Online live | Weekend (Sat) | 6 Saturdays | Enquire |
| Azure Data Engineering | Mon, 08 Feb 2027 | Online live | Weekday | 5 days | Enquire |
Soaring demand, and where it takes you
Many Indian enterprises run on Microsoft platforms, sustaining demand for Azure data engineering skills.
Become an expert
Roles this programme prepares you for:
Become a Azure Data Engineer
Builds ingestion and transformation on Azure.
- Design an Azure data platform architecture
- Build pipelines in Azure Data Factory
- Organise data in ADLS Gen2
About the course
Build data platforms on Microsoft Azure: ingestion with Azure Data Factory, storage in ADLS Gen2, transformation with Azure Databricks and Synapse-style analytics, security and monitoring, with notes on Microsoft Fabric.
Build ingestion and transformation on Azure using Data Factory, ADLS, Synapse-style analytics and Databricks.
Why should I attend?
Data engineers on Azure
ETL developers migrating to cloud
BI developers
Platform teams
Prerequisites
SQL; Python basics; familiarity with Azure portal helpful
Level
Intermediate
Delivery modes, duration and fee
Online live
Instructor-led virtual classroom; weekday (full-day) or weekend (Saturday) batches
Bengaluru classroom
In-person batches at our Bengaluru training venue
On-site at your office
Private corporate batch anywhere in India, scheduled around your teams
Blended
Live sessions plus guided self-paced labs and mentor check-ins
Duration: 40 hours · 5 days
Course fee (open batch): ₹17,999
Corporate / team batches: per-participant or flat batch pricing on request, based on group size, format and customisation.
What will you learn
- Design an Azure data platform architecture
- Build pipelines in Azure Data Factory
- Organise data in ADLS Gen2
- Transform data with Azure Databricks
- Secure data with Entra ID and Key Vault
- Monitor and optimise pipelines and costs
Skills you will gain
Ingestion
Processing
Security and ops
Tools and platforms covered
Azure DatabricksCourse curriculum
M01 Azure data platform overview
- Core services
- Reference architectures
- Fabric in context
- Synapse overview
- Cost model
🧪 Hands-on: Explore a reference design
M02 Storage
- ADLS Gen2
- Folder and zone design
- Access control
- Lifecycle policies
- Networking and private endpoints
🧪 Hands-on: Set up a data lake
M03 Ingestion with Data Factory
- Pipelines and activities
- Triggers
- Integration runtimes
- Data flows
- Parameterised pipelines
🧪 Hands-on: Ingest from a database and API
M04 Transformation
- Azure Databricks
- Delta tables
- SQL transformations
- Medallion layout
- Notebooks vs jobs
🧪 Hands-on: Build a medallion flow
M05 Security
- Entra ID
- Managed identities
- Key Vault
- RBAC vs ACLs
- Data masking
🧪 Hands-on: Secure the pipeline
M06 Monitoring and cost
- Monitoring
- Alerts
- Cost optimisation
- Log Analytics queries
- Reserved capacity
🧪 Hands-on: Add monitoring and alerts
M07 Microsoft Fabric essentials
- OneLake
- Lakehouse and warehouse items
- Pipelines and dataflows
- Power BI Direct Lake
🧪 Hands-on: Build a small lakehouse in Fabric
M08 Streaming on Azure
- Event Hubs
- Stream processing options
- Late data
- Monitoring
🧪 Hands-on: Ingest a streaming feed into Delta tables
M09 Capstone: Azure data platform
- Ingest
- Transform
- Secure
- Present
🧪 Hands-on: Deliver an end-to-end ADF + Databricks pipeline with security controls
Hands-on projects
Azure data platform
A secure ingestion-to-reporting pipeline on Azure feeding a Power BI dataset.
Why train with us
Built around your stack
Labs and examples adapted to the tools, cloud and data your team actually uses.
Practice-first
Every module ends in a lab, and the course ends with a reviewed capstone.
Practitioner-led
Delivered by Karthick Selvam and vetted specialist trainers from our network.
Visible progress
Attendance, lab completion and assessment results shared with your L&D team.
Certificate of completion
Participants who complete the labs and capstone receive a Learning Dots certificate of completion for Azure Data Engineering. [confirm certificate wording / sample image]
Learner reviews
“[Verified learner review for this course]”
“[Verified learner review for this course]”
Meet your trainer
Karthick Selvam
Founder · Data Engineering Corporate Trainer, Bengaluru
[Trainer bio, experience and areas of expertise]
Frequently asked questions
Does this prepare for Microsoft certification?
It covers related skills; check Microsoft Learn for current exam objectives.
Can the curriculum be customised for our team?
Yes. Modules, depth, duration and labs can be tailored to your stack and goals.
What delivery formats are available?
Online live instructor-led sessions, Bengaluru classroom, or on-site at your office.
How do we enquire or book?
Use the enquiry form on this page or the Enquire button next to any batch.
What does it cost?
The open-batch fee is ₹17,999 per participant plus GST. Corporate batches are priced on group size, format and customisation.
How long is the course?
40 hours · 5 days. Corporate batches can be split into half-day sessions.
A closer look
About this course
Build data platforms on Microsoft Azure: ingestion with Azure Data Factory, storage in ADLS Gen2, transformation with Azure Databricks and Synapse-style analytics, security and monitoring, with notes on Microsoft Fabric.
What is Azure Data Engineering?
Build ingestion and transformation on Azure using Data Factory, ADLS, Synapse-style analytics and Databricks.
Who this course is for
Data engineers on Azure, ETL developers migrating to cloud, BI developers, Platform teams.
What you will be able to do
Design an Azure data platform architecture. Build pipelines in Azure Data Factory. Organise data in ADLS Gen2. Transform data with Azure Databricks. Secure data with Entra ID and Key Vault. Monitor and optimise pipelines and costs.
Career paths
Roles this course supports include Azure Data Engineer, Cloud Data Platform Engineer, BI Platform Engineer. Many Indian enterprises run on Microsoft platforms, sustaining demand for Azure data engineering skills.
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