Microsoft Fabric Analytics Engineer Course in Hyderabad
Prepare, model and analyse data in Microsoft Fabric with Power BI and DAX
The Microsoft Fabric Analytics Engineer course teaches you to turn data into governed, reusable analytics in Microsoft Fabric. It follows the role described for the Fabric Analytics Engineer Associate (DP-600) exam: planning and managing an analytics solution, preparing and serving data, implementing and managing semantic models, and exploring and analysing data. You learn lakehouses and warehouses, SQL and KQL queries, Dataflows Gen2 and notebooks for data preparation, Power BI semantic models with star schema, DAX, Direct Lake mode, row-level security and calculation groups, and report design. You also study deployment pipelines, Git integration, performance tuning and XMLA-based tools. The course suits BI developers, data analysts and SQL professionals who already know Power BI basics; a short Power BI refresher is included. Labs run in a Fabric workspace and the capstone delivers a governed semantic model and report. Microsoft updates the exam outline regularly, so a counsellor confirms the latest skills. Classes run in Ameerpet, Hyderabad, and in live online batches.
Syllabus
Fabric & Power BI Foundations
- •Microsoft Fabric experiences, workspaces and capacities
- •Power BI Desktop refresher: visuals, filters and publishing
- •Roles of the analytics engineer versus data engineer and analyst
- •Lab: Create a Fabric workspace and publish a simple report
- •Outcome: Understand where analytics engineering fits in Fabric
SQL & KQL for Analytics
- •SQL queries, joins, aggregations and window functions
- •Kusto Query Language basics for event data
- •Querying lakehouse and warehouse endpoints
- •Lab: Answer business questions with SQL and KQL
- •Outcome: Explore data with the right query language
Lakehouses & Warehouses for Analytics
- •Lakehouse versus warehouse and when to use each
- •Delta tables, shortcuts and the SQL analytics endpoint
- •Views, stored procedures and curated layers
- •Lab: Build a curated layer for reporting
- •Outcome: Prepare data stores for semantic models
Data Preparation with Dataflows Gen2 & Notebooks
- •Dataflows Gen2 and Power Query transformations
- •Notebook basics for data preparation
- •Pipelines for orchestration and refresh
- •Lab: Clean and shape raw sales data for modelling
- •Outcome: Produce analytics-ready tables
Semantic Model Design
- •Star schema, relationships and cardinality
- •Import, DirectQuery, Direct Lake and composite models
- •Model design for performance and clarity
- •Lab: Build a star-schema semantic model over a lakehouse
- •Outcome: Design models that scale and are easy to use
DAX Calculations
- •Calculated columns versus measures; filter and row context
- •CALCULATE, filter functions and iterators
- •Time intelligence and variables
- •Visual calculations and calculation groups introduction
- •Lab: Build a KPI measure set with year-to-date and prior-year logic
- •Outcome: Write correct, readable DAX for business metrics
Model Security & Governance
- •Row-level and object-level security in semantic models
- •Sensitivity labels, endorsement and certification of items
- •Lineage and impact analysis; workspace roles
- •Lab: Implement dynamic row-level security and test by role
- •Outcome: Share analytics securely
Report Design & Storytelling
- •Visual selection, layout and accessibility
- •Bookmarks, drill-through, tooltips and field parameters
- •Paginated reports overview; Copilot features in Power BI at an overview level
- •Lab: Design an executive dashboard and a drill-through detail page
- •Outcome: Communicate insight clearly
Optimisation & Advanced Modelling Tools
- •Performance Analyzer and DAX Studio
- •Tabular Editor and XMLA endpoint overview
- •Aggregations, incremental refresh and model size reduction
- •Lab: Diagnose and fix a slow report
- •Outcome: Tune models and reports for speed
Lifecycle Management & Deployment
- •Git integration for semantic models and reports
- •Deployment pipelines across dev, test and production
- •Scheduled refresh, monitoring and capacity awareness
- •Lab: Promote a semantic model through a deployment pipeline
- •Outcome: Manage analytics assets through their lifecycle
Capstone & Exam Readiness
- •Capstone: governed semantic model and report on a Fabric lakehouse
- •Review of DP-600 skill areas with scenario questions
- •Timed practice and answer review; portfolio write-up
- •Outcome: A portfolio project and a study plan for the vendor exam
Tools Covered
Projects Included
- Curated Reporting Layer: Build SQL views over a lakehouse for sales and finance reporting; deliverable is a documented set of views.
- Direct Lake Sales Model: Create a star-schema semantic model with DAX KPIs over a lakehouse; deliverable is a published model with a measure dictionary.
- Secure Regional Reporting: Apply dynamic row-level security so managers see only their region; deliverable is a tested security configuration.
- Performance Tuning Case: Diagnose and fix a slow report using Performance Analyzer and DAX Studio; deliverable is a before-and-after report.
- Capstone Analytics Solution: Combine data prep, model, security, report and deployment pipeline; deliverable is a GitHub-linked write-up and demo.
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Call: +91 9908099980Prerequisites & Eligibility
Understand the foundation and skills needed to succeed in the Microsoft Fabric Analytics Engineer course.
Course Prerequisites
- Any graduate is eligible for enrollment across all program tracks
- Dedication to work on real-time scenario projects and live client project implementations
- Willingness to engage in aptitude, soft skills and interview readiness sessions
- Commitment to complete full-day training or intensive/internship program schedules
Why Choose GloryTecks
Build practical capabilities through structured learning, expert mentors and hands-on projects.
5+ Years of Excellence
Established training institute in Hyderabad with a proven track record of producing industry-ready professionals.
Expert Faculty
Learn from trainers with real-world industry experience, who teach the way the work is actually done.
Placement Assistance
A dedicated placement team with tie-ups across hiring companies. We support you until you get hired.
Comprehensive Curriculum
Updated syllabus covering the latest technologies and industry best practices, with hands-on projects.
Career Growth Focus
Not just training, but complete career transformation with soft skills and interview preparation.
Online & Classroom
Attend live online batches or classroom training at our Ameerpet centre, whichever suits you.
Flexible Batches
Weekday, weekend and online batch timings to suit working professionals, students and freshers.
Real-time Projects
Work on real-time scenario projects so you finish with practical experience to show employers.
We provide placement support with direct access to hiring companies, along with comprehensive training that helps freshers become job-ready professionals.
Certification
Explore certification and practical learning opportunities with a focus on Microsoft Fabric Analytics Engineer.
Certificate of Completion
Microsoft Fabric Analytics Engineer
This certifies that
[Your Name]
has successfully completed the
Microsoft Fabric Analytics Engineer
Training Program
GloryTecks
Ameerpet, Hyderabad
Certificate ID
GT-YYYY-XXXX
Certificate Includes
- Course completion certificate from GloryTecks
- Project completion certificates
- Internship completion certificate for eligible internship programs
- Digital certificate with a unique verification ID
- Shareable on LinkedIn and other professional platforms
- Valid proof of skill acquisition for employers
- Includes the detailed syllabus covered
Industry Focus
A certificate built around the tools and skills employers ask for, adding credibility to your resume.
Skill Validation
Proves your expertise in the course and the technologies you worked with.
Career Advancement
Strengthens your profile when you apply for jobs and negotiate your salary.
Digital & Physical
Get a digital certificate for online sharing and a physical copy for framing.
Course Certificate
Upon successful completion of the training program
Project Certificate
For major projects completed during training
Course Features & Highlights
Build a strong foundation through a structured Microsoft Fabric Analytics Engineer course with practical learning and hands-on exposure.
Live Projects
Work on real-world projects from day one with industry use cases.
Expert Trainers
Learn from industry professionals with real-world experience.
Placement Support
Dedicated placement team with assistance until you get hired.
Industry Certification
Get certified and boost your resume with recognized credentials.
LMS Access
Access to learning materials and recorded sessions.
Mock Interviews
Weekly mock interviews to prepare you for real job scenarios.
Resume Building
Professional resume preparation and LinkedIn profile optimization.
Additional Benefits
- Flexible Payment Plans
- 6-12 Months LMS Access
- Doubt Clearing Sessions
- 24/7 Learning Support
Frequently asked questions
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What is the difference between Fabric Analytics Engineer and Fabric Data Engineering?
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Will I use Copilot features?
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Best Microsoft Fabric Analytics Engineer Training in
Ameerpet, Hyderabad
Located at Ameerpet — Hyderabad’s IT training hub. Easily accessible from all areas of Hyderabad. Just 2 minutes walk from Ameerpet Metro Station.
Placement Support
Career support covers resume and LinkedIn preparation, mock interviews and a portfolio of 5 course projects. Roles that use these skills include Analytics Engineer, BI Developer, Power BI Developer, Data Analyst (Fabric); support is guidance with the job search, not a guarantee of a job.