Microsoft Data Engineering Microdegree

Master Azure Synapse, Data Lakes, Spark & Microsoft Fabric | Earn 9 ECTS Credits + Globally Recognized Certificates

Overview

Data Engineering Course in Faisalabad – Acme Skills

In today’s data-driven world, organizations need skilled professionals who can design, build, and maintain the systems that collect, store, and transform raw information into actionable insights. Acme Skills brings you the Microsoft Data Engineering Microdegree in Faisalabad—a comprehensive, internationally recognized program jointly delivered by Microsoft, KAMK University of Applied Sciences (Finland), and certified global tech mentors. This self-paced program equips you with real-world skills in Azure Synapse Analytics, Data Lakes, Apache Spark, Microsoft Fabric, Delta Lake, and Power BI—while earning 9 ECTS credits recognized across Europe and beyond.

Why Choose the Data Engineering Microdegree at Acme Skills?

🌍 Globally Recognized Credentials: 6 Course Certificates + 1 Professional Certificate from Microsoft & KAMK University
🎓 9 ECTS Credits: European transferable credits for higher studies or global job markets
🛠️ Industry-Standard Tools: Master Azure Synapse, Data Lakes, Spark, Fabric, Delta Lake & Power BI
📦 End-to-End Pipeline Skills: From data ingestion and transformation to storage, governance, and visualization
👨‍🏫 Flexible & Self-Paced: 243 hours of browser-based learning with 12-month LMS access
📱 Zero Setup Required: Learn online on any laptop, tablet, or smartphone with internet
🎯 Region-Specific Mentorship: Live guidance from certified data engineering professionals

Career Opportunities After Completion

Graduates of the Data Engineering Microdegree are equipped for high-demand roles in Pakistan and internationally:

Data Engineer: Build and manage scalable data pipelines, warehouses, and storage systems
Business Intelligence Developer: Design reports, dashboards, and enterprise BI solutions
Cloud Data Specialist: Implement cloud-native data architectures using Microsoft Azure
ETL Developer: Extract, transform, and load data across platforms efficiently
Machine Learning / Data Science Associate: Support AI-driven analytics with clean, structured data pipelines
Data Analytics Engineer: Bridge raw data engineering with business-facing analytics and modeling

Why Faisalabad Students Trust Acme Skills

Acme Skills has become a trusted name for professional tech training in Pakistan. Our Microsoft Data Engineering Microdegree is delivered in partnership with HAZZA Institute of Technology, our exclusive authorized academic partner. We provide structured mentorship, hands-on labs, and career guidance to ensure you successfully complete your ECTS credits and professional certifications. With industry-aligned content, real-world data scenarios, and a focus on global employability, we prepare you for the international data engineering job market.

Earn Globally Accepted Credentials

📜 6 Course Completion Certificates (Microsoft + KAMK University)
🏆 Data Engineering Professional Certificate (Microsoft + KAMK University)
🔗 Shareable LinkedIn Skill Badge + QR-Verifiable Digital Credentials
🎓 Official 9 ECTS Credit Transcript from KAMK University of Applied Sciences, Finland
✅ Globally Recognized for employment and higher education in EU countries

Ready to architect data systems that power modern businesses?

Program Structure & Syllabus

6 Courses | 243 Hours | 9 ECTS Credits

1. Exploring Microsoft Azure (54h | 2 ECTS) +

Azure fundamentals: physical and management infrastructure
Computing services, virtual networking, and storage
Data migration, authentication, and authorization
Conditional access and identity protection
Governance, compliance, and resource management
Cost management and Azure Arc
Project management in cloud environments

2. Exploring Artificial Intelligence (54h | 2 ECTS) +

AI & machine learning fundamentals: supervised & unsupervised learning
Computer vision, facial recognition, character recognition
Natural language processing, conversational AI, Azure AI Speech
Generative AI, Azure OpenAI, AI Copilots, document intelligence
Ethics and responsible AI practices

3. Exploring Data & Analytics (27h | 1 ECTS) +

Foundational data concepts: identifying data, databases, processing
Relational & non-relational data, Azure Cosmos DB basics
Large-scale analytics, real-time analytics, data visualization in Azure
Data roles and services in cloud environments

4. Data Analytics with Power BI (27h | 1 ECTS) +

Getting started with data analytics and Power BI interface
Preparing, cleaning, and simplifying data for analysis
Modeling: essential structures, semantic models, DAX, measures
Visualizing: report design, filters, analytics, dashboards
Managing workspaces, datasets, and row-level security

5. Data Engineering with Azure (54h | 2 ECTS) +

Introduction to data warehouses and relational data setup
Data pipelines, Spark notebooks, and data transformation
Analyzing and processing data with Apache Spark
Securing, managing, and optimizing data warehouses in Azure

6. Data Engineering with Fabric (27h | 1 ECTS) +

Introduction to Microsoft Fabric: end-to-end analytics and lakehouses
Apache Spark, Delta Lake tables, and medallion architecture
Orchestrating processes, data movement, real-time intelligence
Data warehouses: loading, querying, monitoring, and securing
CI/CD policies, environment administration, and governance with Purview

Course Details +

Duration: 12-month LMS access (average completion: 3–5 months)
Total Hours: 243 hours (219 hours online learning + 24 hours supervised mentorship)
Format: 100% online, self-paced, browser-based (no downloads required)
Assessment: Pass/fail assignments and exams
Language: English (all content, assignments, and mentorship)
Eligibility: Open to all. Prior knowledge not required. Basic IT awareness helpful
Requirements: Laptop, tablet, or smartphone with stable internet access

What You Will Learn +

Design, build, and maintain scalable data storage and processing systems
Implement data pipelines using Azure Synapse Analytics and Apache Spark
Work with Data Lakes, Delta Lake tables, and medallion architecture
Transform, clean, and model data for analytics and machine learning readiness
Manage data warehouses with loading, querying, monitoring, and security best practices
Leverage Microsoft Fabric for end-to-end analytics and real-time intelligence
Apply AI and document intelligence to enrich raw data with contextual insights
Implement CI/CD, environment administration, and compliance with Microsoft Purview
Earn 9 ECTS credits + professional certification recognized globally

Study Program Goals

Upon completion of the Data Skills Study Program, you will be well-prepared to further enhance your understanding of data’s crucial role in modern society. This program will also equip you to confidently tackle Microsoft’s official data-related certification exams, such as AZ-900, DP-900, and AI-900. You can find out more about the Microsoft certifications on Microsoft’s website.

Additionally, you’ll receive shareable badges upon finishing each study path as well as the whole program (a maximum of three badges in total), allowing you to showcase your newly acquired skills.

Data Engineering