The Microsoft Data & AI Pro Program is a comprehensive, industry-aligned training journey designed to prepare learners for high-demand roles in Business Intelligence, Data Engineering, and Analytics. This program blends foundational data concepts with modern Microsoft cloud platforms, enabling students to work on real-world, enterprise-grade analytics solutions.
Participants gain hands-on exposure to SQL, Power BI, Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric, and Microsoft Copilot, supported by structured assessments, capstone projects, and certification-aligned learning paths. The curriculum is crafted to build both technical excellence and business problem-solving skills, making learners job-ready for today’s data-driven organizations.
Microsoft-Aligned Curriculum (PL-300, DP-600, DP-700 Pathways)
Industry-Driven Learning Approach
Real-World Business Scenarios & Case Studies
Capstone & Portfolio Development
Microsoft Certified and Industry Expert Faculty & Mentorship Support
Structured Assessments & Performance Tracking
Career & Placement Assistance
Hands-on Exposure to Enterprise Cloud Platforms
Graduates & Final-Year Students (IT, Engineering, Commerce, Management)
Aspiring Data Analysts & BI Developers
Business Analysts & Reporting Professionals
Software Engineers Transitioning to Data Roles
Working Professionals Upskilling in Cloud & Analytics
Introduction to Data, Analytics & Business Intelligence
Roles: Data Analyst vs BI Developer vs Data Engineer
OLTP vs OLAP Systems
Data Lifecycle & BI Project Flow
SELECT, WHERE, ORDER BY
Data Filtering & Sorting
GROUP BY, HAVING
Aggregate Functions
Inner, Left, Right, Full Joins
Multi-Table Queries
Tables, Keys & Relationships
Normalization vs Denormalization
Star & Snowflake Schema Design
Subqueries
Views
Stored Procedures
ROW_NUMBER, RANK, PARTITION BY
Analytical Reporting Queries
Power BI Architecture
Desktop vs Service
Data Connectivity Overview
Data Cleaning & Transformation
ETL Concepts in Power BI
Relationships & Cardinality
Filter Flow & Performance Concepts
Dashboard Design Best Practices
UX & Executive Reporting
Measures vs Calculated Columns
Core DAX Functions
Complex DAX Functions
Business Performance Tracking
Publishing Reports
Workspace Management
Sharing & App Distribution
Row-Level Security (RLS)
On-Premises Data Gateway Concepts
Enterprise Sharing Models
Workspace Architecture
SQL Pools & Spark Pools
Synapse Pipeline Architecture and it’s component
Ingest and transform data Serverless SQL Pool and Spark Pool
Execute scripts and notebooks using Synapse Pipelines and Triggers
Build reports in Power BI for the data stored in Azure Synapse Analytics
Star Schema in Synapse
Query Performance Optimization
Linked Services
Datasets
Pipeline Architecture and it’s component
Mapping Data Flows
Data Cleansing Strategies
Triggers & Scheduling
Monitoring & Alerts
Unified Analytics Platform
OneLake Overview
Workspace & Capacity Model
Medallion Architecture (Bronze, Silver, Gold)
Delta Tables
T-SQL Analytics
Performance Optimization
Microsoft Copilot in Fabric
Data Security & Governance
Microsoft Purview Integration
Data Ingestion in Fabric
Orchestration Concepts
Data Engineering with PySpark
Transformations & Aggregations
Direct Lake Mode
Semantic Models
Microsoft Copilot in Fabric
Data Security & Governance
Microsoft Purview Integration
We design outcome-driven learning paths that build job-ready skills in today’s most in-demand Data and AI domains. Future-proof your career.
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