Build Scalable Data Pipelines &
Become a Cloud Data Engineer
with Microsoft Azure & Fabric
Step into the future of data with our Azure Data Engineering & Microsoft Fabric Mastery Program. This industry-focused course helps you master modern data tools, build end-to-end data pipelines, and gain hands-on experience with real-world projects. Learn how top companies use Microsoft Azure and Fabric to handle massive data, automate workflows, and generate powerful business insights. Whether you're a beginner or aspiring data professional, this course will transform you into a job-ready Data Engineer.
Fill in your details — we will call you back within 24 hours to confirm your slot.
Or call us: +91 9985001212
Skills You'll Have After This Program
Every topic is hands-on — you build while you learn. By graduation you will have demonstrable skills employers in cloud data engineering are actively hiring for.
Data Engineering Fundamentals & Architecture
Understand how modern enterprise data systems are designed, structured, and deployed at scale.
Working with Microsoft Azure Services
Master Azure Data Factory, Azure Synapse Analytics, Azure Data Lake — the core Azure data stack.
Data Ingestion using Azure Data Factory
Build automated ingestion pipelines using Copy activity, Dataflow Gen2, scheduling and monitoring.
Data Transformation with PySpark & SQL
Write production-quality PySpark and advanced SQL for data transformation and analytics at scale.
Real-Time & Batch Data Processing
Ingest streaming data with Eventstream, query with KQL, and build both batch and real-time pipelines.
End-to-End Pipelines in Microsoft Fabric
Build complete data solutions using the Fabric ecosystem — OneLake, Lakehouse, Pipelines, Dataflows.
Data Warehousing & Lakehouse Concepts
Design and build structured data warehouses and Delta Lake lakehouses inside Microsoft Fabric.
Power BI Integration for Visualization
Create semantic models with DAX and build live Power BI dashboards connected to Fabric endpoints.
What Makes This Program Different
100% Practical Training with Live Projects
Every module ends with hands-on work. You don't just watch — you build real pipelines and systems in every session.
Industry-Relevant Curriculum
Built around what top companies are actively hiring for — Microsoft Fabric, Azure pipelines, DP-700, and PySpark.
Resume + Interview Preparation
Professional resume crafting, technical mock interviews, and LinkedIn profile optimization before you face real recruiters.
Certification Guidance
Full alignment with DP-700 certification. We guide you through exam prep alongside practical training.
Job Assistance Support
Direct referrals to hiring partners and placement support until you land your first data engineering role.
Latest Tools — Microsoft Fabric
Specialise in Microsoft Fabric — the unified data platform every Azure company is migrating to right now.
11 Modules + Capstone Project
Every module is designed around a clear learning goal and ends with a hands-on task. By the time you reach the capstone, you will have built every component needed for a complete real-world data engineering solution.
Python Prerequisites
- Python syntax, variables, data types & structures
- Control flow — if, for, while loops
- Functions, modules & package installation with pip
- File handling — read/write CSV and JSON
- Working with Pandas: DataFrames, filtering, grouping
- Basic plotting with matplotlib & seaborn
- Exception handling & debugging
- Jupyter Notebook basics
SQL Prerequisites
- SELECT, WHERE, ORDER BY, GROUP BY
- JOINs — INNER, LEFT, RIGHT, FULL OUTER
- Aggregations: COUNT, SUM, AVG, MAX, MIN
- Subqueries and nested queries
- INSERT, UPDATE, DELETE operations
- CREATE TABLE & ALTER TABLE
- SQL functions, Views & Indexing
- Practice with Indian-themed datasets (sales, students, cricket)
PySpark Essentials
- Spark architecture & execution model
- Creating SparkSession and reading data (CSV, Parquet, Delta)
- DataFrame operations: select, filter, groupBy
- Defining schema manually
- Joins, aggregations & writing to Delta Lake
- SparkSQL & temporary views
- Writing UDFs (User Defined Functions)
- Scheduling notebooks & Spark jobs
Introduction to Microsoft Fabric
- What is Microsoft Fabric and why it matters
- Fabric signup & workspace creation
- Fabric pricing overview
- Unified developer experience across all Fabric components
- Fabric vs Azure Synapse comparison
OneLake & Lakehouses
- OneLake overview & architecture
- Workspaces & lakehouse creation
- Loading data & exploring Delta Tables
- Using Dataflow Gen2
- SQL analytics endpoint
- Creating shortcuts in OneLake
- Managing access & sharing permissions
Power BI & Semantic Models
- Semantic model concepts & design
- Creating models & measures with DAX
- Connecting Power BI Desktop to Fabric
- Auto-create reports from semantic models
- Creating & updating Power BI apps
- Using SQL endpoint for reporting
Data Factory & Pipelines
- Azure Data Factory overview
- Copy Data activity
- Dataflow Gen2 inside pipelines
- Disable staging for performance optimization
- Scheduling pipelines
- Monitoring & troubleshooting pipelines
Data Warehousing
- Data warehouse concepts & design principles
- Creating warehouses & tables in Fabric
- INSERT, UPDATE, ALTER operations
- Calculated columns & schema updates
- COPY INTO command for bulk ingestion
- Referencing lakehouse SQL endpoints
- Cloning tables & modifying semantic models
Real-Time Analytics
- Real-Time Analytics in Fabric overview
- Creating KQL databases
- KQL syntax: filtering & grouping
- Visualizing real-time data
- Eventstream creation & routing
- Connecting KQL to Power BI
- Streaming to Lakehouse & retention policies
Data Science in Fabric
- Notebook setup & data loading in Fabric
- Data cleansing with Data Wrangler
- Exploratory data analysis & feature engineering
- Model training & evaluation
- ROC curve & precision-recall analysis
- Saving & applying ML models
- Connecting ML results to Power BI
Data Activator
- Overview of Data Activator in Fabric
- Creating Reflex from Power BI visuals
- Setting up intelligent triggers
- Adding data from Eventstream
- Triggering automated actions from objects
Real-Time Sales Analytics for an Indian Retail Chain
Apply everything from all 11 modules in a single real-world scenario. Build a complete, end-to-end data engineering solution — the kind of project that goes directly onto your portfolio and gets you hired.
- Ingest sales data from CSV and streaming sources
- Store in OneLake Lakehouse using Delta format
- Build end-to-end data integration using Azure & Fabric
- Create data transformation workflows with PySpark
- Build semantic model with sales KPIs in Power BI
- Visualize region-wise & product-wise trends
- Train ML model to predict high-sales regions
- Set up Data Activator alerts for stockouts
- Schedule Spark jobs for daily aggregations
- Connect KQL for real-time dashboards
Everything You'll Be Hands-On With
Gain practical experience with the exact tools used by data engineers in top MNCs across India and globally.
This Course Is Right for You If…
- Students & Freshers looking for their first data engineering job
- Working Professionals in IT or Non-IT wanting to upskill or switch
- Aspiring Data Engineers ready to learn cloud platforms from scratch
- Analysts looking to upgrade to cloud data engineering
- Anyone preparing for the DP-700 or DP-203 Microsoft certification
- Professionals wanting to specialise in Microsoft Azure & Fabric
What You Need to Join
- Basic computer proficiency — no coding experience required, we start from scratch
- No prior coding or data experience — SQL and Python taught from basics
- Willingness to do hands-on work in every session
- A basic laptop with internet access — cloud tools handle all processing
- Even non-IT background students can join successfully
Not sure if you're eligible? Book a free demo class — let our trainers assess your starting point. No commitment required.
Roles You'll Be Ready For After This Program
High demand, global opportunities, and future-proof careers in cloud data engineering.
Data Engineer
Build and maintain data pipelines at enterprise scale
Azure Data Engineer
Specialise in Microsoft Azure cloud data services
Data Analyst
Analyze and visualize data using Power BI & SQL
Cloud Data Specialist
Design cloud-native data solutions for enterprises
Don't just learn data — build a career in it. Enroll now and become a certified Azure Data Engineer!
Extra Benefits Included in This Program
Live Case Studies
Real industry scenarios from Indian and global companies — analyzed and solved in live sessions.
Real-Time Data Projects
Hands-on projects mirroring actual production environments — the experience employers want to see.
Mock Interviews
Technical interview simulations with feedback — go into real interviews prepared and confident.
Certification Preparation
Dedicated DP-700 exam prep with practice questions, study guides, and Microsoft documentation walkthroughs.
Frequently Asked Questions
Everything you need to know before enrolling.
Anyone with a basic understanding of computers can join. Ideal for students, freshers, working professionals, and career-switchers. Even non-IT background students can join — the course is structured to make learning easy from scratch.
No prior coding experience is required. We start from the absolute basics of SQL and Python and gradually move to advanced data engineering concepts.
Yes. The course is designed for beginners as well as professionals. It starts with fundamentals and progresses to advanced real-world applications. Non-IT students have successfully completed this program.
- Azure Data Factory, Azure Data Lake, Azure Synapse Analytics
- Microsoft Fabric (Lakehouse, Pipelines, Dataflows)
- SQL & Python (PySpark), Power BI, Delta Lake
- KQL, Eventstream, Data Activator
Absolutely. Every module ends with hands-on assignments. You build real-time projects, live case studies, and a full capstone project — a complete portfolio ready for interviews.
- End-to-end data pipelines using Azure Data Factory
- Data lake creation & management on OneLake
- Data transformation workflows using PySpark
- BI dashboards with Power BI
- Capstone: Real-Time Sales Analytics for an Indian Retail Chain
Yes. You receive a course completion certificate upon finishing. We also provide guidance for official Microsoft DP-700 certification — the industry-recognized credential for Azure Data Engineers.
Yes. We provide resume building, interview preparation, LinkedIn optimization, and job assistance. We have direct referrals to hiring partners across Hyderabad and beyond.
- Azure Data Engineer
- Data Engineer
- Data Analyst
- Cloud Data Specialist
Typically 8 to 12 weeks depending on the batch format — weekend or weekday. Call +91 9985001212 for the current schedule.
Yes. Recorded sessions are provided with lifetime access — learn at your own pace and revisit topics anytime, even after your batch ends.
- 100% practical, job-oriented — not just theory
- Real-time projects with actual industry datasets
- Microsoft Fabric coverage (most institutes don't teach this)
- Trainer with 20+ years industry experience
- Small batches — personal attention guaranteed
A basic laptop with internet access is enough. Cloud-based tools on Microsoft Azure handle all heavy processing — the cloud does the work for you.
All fees are in Indian Rupees (₹) with no hidden charges. Call us at +91 9985001212 or visit our Ameerpet office Mon–Sat 9 AM – 9 PM for current pricing. Limited seats!
Contact us via our website or call +91 9985001212. We recommend booking a free demo first — sit in, see the curriculum, then decide. Limited seats per batch!
Start Building Real Azure Data Engineering Skills
Don't just learn data — build a career in it. Enroll now and become a certified Azure Data Engineer with real projects, expert guidance, and placement support.