Duration
The program spans 9 months - 12 months, offering a structured pathway to build Microsoft Data Engineer expertise. Students gain practical experience with Microsoft technologies through hands-on labs, applied projects, and certification-focused learning aligned with global industry needs.
Microsoft Certifications
Certification | Description |
Gain foundational knowledge of core data concepts and how they are implemented using Microsoft Azure data services. | |
Microsoft Certified: Fabric Data Engineer Associate (DP-700) | Design, build, and manage data pipelines and storage solutions using Microsoft Fabric for efficient data processing. |
Demonstrate fundamental AI concepts related to the development of software and services of Microsoft Azure to create AI solutions. | |
Design and implement an Azure AI solution using Azure AI services, Azure AI Search, and Azure Open AI. | |
Microsoft Certified: Identity and Access Administrator Associate | Design, implement, and manage identity and access solutions using Azure Active Directory. |
Microsoft Certified: Security, Compliance, and Identity Fundamentals | Learn the foundational concepts of security, compliance, and identity across Microsoft cloud services. |
Microsoft Certified: Windows Server Hybrid Administrator Associate (AZ-800) | Configure, manage, and secure hybrid and on-premises Windows Server environments. |
Exam SC-100: Microsoft Cybersecurity Architect | Design and evolve cybersecurity strategies to protect enterprise systems and data across Microsoft platforms. |
Detect, investigate, and respond to threats using Microsoft Sentinel and Microsoft Defender solutions. |
Microsoft Applied Skills
Microsft Fabric Health Modules
Ghunchas is providing specialized training to develop skilled Healthcare Technology Data Professionals. These modules focuses on implementing Microsoft Cloud for Healthcare, with a strong emphasis on Microsoft Fabric as the core data solution. Through foundational modules covering healthcare data in Fabric, Azure Health Data Services, and AI analytics, the training equips participants with the practical skills needed to build and manage data-driven healthcare solutions on the Microsoft platform.
Get started with Microsoft Cloud for Healthcare | Introduces the core capabilities and services of the Microsoft Cloud for Healthcare platform. |
Discover Microsoft AI for leaders in healthcare | Explores how AI can be leveraged by leaders to transform healthcare delivery and outcomes |
Explore healthcare data solutions in Microsoft Fabric | Provides a comprehensive overview of managing and analyzing healthcare data within the Microsoft Fabric environment. |
Get started with Azure Health Data Services | Teaches the fundamentals of using purpose-built Azure services for handling protected health information (PHI). |
Get started with healthcare data solutions in Microsoft Fabric | Offers a foundational introduction to the specific tools and workflows for healthcare data in Fabric. |
Create connected patient experiences with Microsoft Cloud for Healthcare | Focuses on using Microsoft solutions to build integrated and engaging digital patient journeys. |
Get started with Text Analytics for health | Covers how to extract meaningful insights from unstructured clinical text using AI. |
Foster health team collaboration with Microsoft Cloud for Healthcare | Demonstrates how to enhance coordination and communication among healthcare teams using Microsoft tools. |
Global Industry Readiness
Ghunchas helps its trainees get ready for real jobs in today’s fast-moving world. We believe every job needs three kinds of skills: technical skills, professional skills, and soft skills. That’s why our training covers all three. We teach tech skills with Microsoft courses. We help build professional knowledge and grow soft skills like communication and teamwork using LinkedIn Learning. Our aim is to give each person 30–50 strong skills and certificates so they can stand out and succeed in global careers.
Job Roles & Titles
The trainees might have following job roles/ titles with this program.
Roles & Titles | Description |
Microsoft Fabric Data Engineer | Design and manage end-to-end data pipelines using Microsoft Fabric for analytics and insights. |
Azure Data Engineer | Build and optimize data solutions on Azure for secure, scalable, and high-performance analytics. |
Data Warehouse Architect | Design and implement data warehouse architectures that enable enterprise-wide reporting and intelligence. |
Real-Time Analytics Engineer | Develop streaming and real-time analytics solutions to power instant business insights. |
Data Integration Specialist | Manage data flows, ETL processes, and system integrations across cloud and on-premises platforms. |
Cloud Data Migration Engineer | Plan and execute secure, efficient migration of data to cloud environments. |
Machine Learning Data Engineer | Build and maintain data pipelines and infrastructure to support machine learning models. |
Data & AI Analyst | Analyze large datasets using Azure Synapse and Data Factory. Apply AI models to uncover insights and trends. Support decision-making with visualizations and predictive tools. |
Microsoft Azure AI Engineer | Design, build, and deploy AI solutions using Azure AI services. Work with cognitive services, machine learning models, and OpenAI tools to solve business problems. Collaborate with data scientists and solution architects to deliver intelligent applications. |
Machine Learning Developer | Develop and train machine learning models using Azure Machine Learning. Focus on predictive analytics, classification, and recommendation systems. Optimize model performance and integrate with cloud-based applications. |
AI Solutions Architect | Lead the design of end-to-end AI systems. Translate business needs into technical solutions using Azure AI, Synapse, and Fabric. Ensure scalability, security, and ethical AI practices across deployments. |
Natural Language Processing (NLP) Specialist | Build and fine-tune language models using Azure OpenAI and Cognitive Services. Create chatbots, sentiment analysis tools, and voice assistants. Focus on improving human-computer interaction through language understanding. |
Computer Vision Engineer | Use Azure’s computer vision tools to develop image recognition, object detection, and facial analysis systems. Apply AI to healthcare, security, and automation projects. |
Data & AI Analyst | Analyze large datasets using Azure Synapse and Data Factory. Apply AI models to uncover insights and trends. Support decision-making with visualizations and predictive tools. |
AI Integration Specialist | Integrate AI capabilities into existing business systems using Azure Fabric and Power Platform AI. Automate workflows, enhance productivity, and deliver intelligent features across departments. |
AI Chatbot Developer | Create and manage conversational agents using Azure AI chatbot tools. Focus on customer service, education, and healthcare applications. Ensure bots are responsive, accurate, and user-friendly. |
Responsible AI Analyst | Ensure AI systems follow ethical guidelines. Monitor bias, fairness, and transparency in models. Work with compliance teams to align AI practices with global standards. |
Information Protection Administrator | Implements and manages data classification, labeling, and encryption policies to safeguard sensitive information. Ensures compliance with organizational and regulatory data protection standards using Microsoft Purview tools.
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Compliance & Governance Specialist | Develops and enforces policies to meet legal, regulatory, and internal compliance requirements. Utilizes Microsoft 365 and Purview solutions to monitor, assess, and improve organizational compliance posture.
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Microsoft 365 Compliance Administrator | Configures and manages Microsoft 365 compliance features, including retention, auditing, and insider risk management. Works to protect data integrity and ensure adherence to global data privacy and governance standards
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Data Loss Prevention (DLP) Engineer | Designs and maintains DLP policies to prevent unauthorized sharing of sensitive data across Microsoft services. Monitors, analyzes, and optimizes data protection controls to minimize information leakage risks.
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eDiscovery & Investigation Specialist | Conducts data searches, holds, and reviews for legal, regulatory, and internal investigations using Microsoft Purview eDiscovery. Ensures efficient data collection, analysis, and reporting while maintaining chain-of-custody and compliance.
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Windows Server Hybrid Administrator | Manages and secures Windows Server environments across on-premises and hybrid infrastructures. Deploys, integrates, and maintains core services like Active Directory, storage, and virtualization in hybrid setups.
|
Security Operations Analyst (SOC) | IT professionals, cybersecurity analysts, and incident responders who want to detect, investigate, and mitigate threats using Microsoft security tools like Sentinel and Defender. |
Healthcare Cybersecurity Architect | Experienced cybersecurity professionals and healthcare IT leaders aiming to design, implement, and manage secure, compliant architectures protecting sensitive healthcare data and systems. |
Who Should Join?
The program is designed for university students, early-career professionals, experienced IT professionals, and healthcare professionals who want to specialize in data engineering for healthcare technology. It is especially valuable for those interested in designing, building, and managing data pipelines and storage solutions to support analytics, AI, and real-world healthcare applications.
Technologies & Tools
Tools | Description |
Microsoft Fabric | Unify data engineering, analytics, and governance with Microsoft Fabric’s all-in-one data platform. |
Azure Data Factory | Orchestrate and automate data integration and ETL pipelines across cloud and hybrid systems. |
Azure SQL Database & SQL Server Migration Tools | Manage a fully scalable SQL database and simplify migrations to Azure. |
Azure Machine Learning Studio | Build, train, and deploy machine learning models with a low-code, collaborative platform. |
Azure AI Document Intelligence | Automate document processing and extraction using AI-powered recognition and analysis. |
Microsoft Power BI (integrated with Fabric) | Transform data into interactive dashboards and insights powered by Fabric’s unified analytics. |
GitHub | A collaborative platform for version control, open-source development, and DevOps automation using Git. |
FHIR Server | Enables secure storage and exchange of healthcare data using the Fast Healthcare Interoperability Resources (FHIR) standard. |
DICOM Service | Manages and integrates medical imaging data for interoperability across healthcare systems |
MedTech Service | Connects and manages medical devices to collect, analyze, and integrate patient data in real time. |
Synapse | Unifies data analytics and insights across healthcare data sources for advanced reporting and AI-driven intelligence. |
Microsoft Teams EHR Integration | Embeds communication and collaboration tools directly within electronic health record (EHR) workflows. |
Nuance DAX Copilot | Automates clinical documentation using AI to capture patient encounters in real time. |
Microsoft Dragon Copilot | Enhances productivity through voice-powered AI assistance for clinical and administrative tasks. |
Microsoft Dynamics | Provides intelligent business applications for managing healthcare operations, patient engagement, and workflows. |
Microsoft Entra ID | Delivers secure identity and access management across cloud and on-premises healthcare environments. |
Microsoft Purview | Ensures data governance, protection, and compliance across healthcare data estates. |
Microsoft Defender | Protects endpoints, identities, and cloud environments from cyber threats. |
Microsoft Sentinel (SIEM & SOAR) | Offers intelligent threat detection, investigation, and automated response across healthcare systems. |
LinkedIn Professional Certificates
Certifications | Description |
Microsoft Azure AI Essentials | Understand AI capabilities on Azure for intelligent applications and solutions. |
Career Essentials in Project Management | Gain expertise in project planning, execution, and stakeholder management. |
Microsoft Security Essentials | Learn the fundamentals of Microsoft security, identity, and compliance solutions. |
Career Essentials in Generative AI | Explore generative AI tools and applications for modern workplaces. |
Career Essentials in Business Analysis | Develop skills in requirements gathering, process modeling, and business problem-solving. |
Career Essentials in Cybersecurity | Build a foundation in cybersecurity principles, risk management, and threat protection. |
Microsoft Copilot for Productivity | Leverage AI-powered Copilot tools to boost workplace efficiency and collaboration. |
Career Essentials in Administrative Assistance | Learn key administrative and organizational skills for workplace effectiveness. |
Generative AI Productivity Skills | Apply AI tools to enhance productivity, automation, and efficiency. |
AI for Managers | Equip managers with AI knowledge to drive strategy, operations, and innovation |
Career Essentials in Sustainable Tech | Understand sustainable technology practices for green innovation and impact. |
AI for Organizational Leaders | Learn how leaders can harness AI for transformation, strategy, and decision-making. |
Career Essentials in Software Development | Build foundational knowledge in coding, software design, and development practices. |
Career Essentials in System Administration | Gain skills in IT system setup, management, and troubleshooting. |
Human Skills in the Age of AI | Strengthen critical thinking, adaptability, and communication alongside AI adoption. |
Generative AI for Marketing with Copilot | Use Copilot-powered AI tools to enhance marketing campaigns and customer engagement. |
Generative AI for Sales with Copilot | Apply AI-driven insights with Copilot to boost sales efficiency and performance. |
Generative AI for Customer Service with Copilot | Enhance customer support and engagement through Copilot-enabled AI solutions. |
Master Data Engineering | Data engineering is one of the fastest-growing areas within the tech space. Master the tools and skills needed to be successful in this quickly evolving and in-demand market, such as Kafka, SQL, Python, dbt, and Snowflake. |
Data Engineering Foundations Professional Certificate by Astronomer | Data engineering is essential for organizations to harness the power of their data. This learning path teaches the in-demand skills—SQL, Python, Apache Airflow®, data warehousing, data governance, and more—needed to solve complex data challenges. Through hands-on practice and real-world scenarios, you can gain the technical expertise to design and implement scalable data solutions. Tune in, pass the final exam, and earn your certificate. |
Data Science Professional Certificate by KNIME | Unlock the power of data science with this comprehensive professional certificate. Gain essential skills to drive business insights, make data-driven decisions, and leverage AI technologies. Develop both technical and nontechnical skills for a successful data science career. Tune in, pass the final exam, and earn your certificate. |
Getting Started with R for Data Science | Learn one of the most used data-science-specific languages: R! This learning path provides a strong foundation of skills and knowledge on which to build your coding resume. |
Anaconda Python for Data Science Professional Certificate | Python offers myriad possibilities for preparing, analyzing, and reporting data. If you’re starting a career in data analysis or looking to improve your skills, these courses can help. Complete the courses, pass the final exam, and earn your certificate. |
Certified Analytics Professional (CAP) | Want to accelerate your career in data science and analytics? Consider earning the Certified Analytics Professional (CAP) credential. This premier data science certification shows potential employers that you can glean insights from data and use your findings to determine logical next steps. In this course, Jungwoo Ryoo provides test takers with an understanding of how a core set of data science topics are relevant and necessary to obtain a CAP credential in an expedited fashion. Jungwoo covers the seven domains of the exam: business problem framing, analytics problem framing, data, methodology, model building, deployment, and lifecycle management. He also shares case studies that demonstrate how the CAP knowledge domain concepts work in the real world. |
Develop Your Creative Thinking and Innovation Skills | Learn how to generate innovative solutions in work situations. Review how to develop, design, and create new applications, ideas, relationships, systems, and products. Discover how to use creative and alternative thinking to develop new ideas for and answers to work-related problems. |
Develop Conflict Management Skills | Learn how to deal effectively with others in antagonistic situations. Discover how to reduce tension or conflict. Review how to effectively settle disputes by focusing on solving the problems at hand—without offending egos. |
Improve Your Teamwork Skills | Teams work better when everyone collaborates and cooperates. Learn how to be a better teammate for your coworkers by improving your teamwork skills, conflict management skills, and communication skills. |
Working Smarter with Microsoft 365 | Boost productivity with collaboration, automation, and AI tools in Microsoft 365. |
Atlassian Agile Project Management | Learn to manage projects with Agile methodologies using Jira and Atlassian tools. |
Develop Your Skills as a Healthcare Project Manager | Build expertise in planning, leading, and delivering projects in healthcare environments. |
Public Speaking Skills (Toastmasters International) | Strengthen communication, confidence, and presentation skills for professional impact. |
Change Management by LinkedIn Learning | Gain strategies to lead organizational change, transformation, and adaptation effectively. |
Building Trust, Competence, and Collaboration | Develop leadership and teamwork skills that foster trust and collaboration. |
Digital Marketing by Content Marketing Institute | Master content-driven marketing strategies to grow engagement and business reach. |
Essential Business Communication Skills Professional Certificate by LinkedIn Learning | Regardless of your role or industry, strong communication skills are essential to advance your career and work more effectively. This learning path will help you to develop your communication skills to build trusting relationships, resolve conflicts, and share your ideas with clarity and confidence. Tune in, pass the final exam, and earn your certificate. |
Ghunchas Training Straetgy
Why Ghunchas?
What makes Ghunchas special is its mix of IT and healthcare training. Students learn through Microsoft and LinkedIn certifications. The training is hands-on, future-focused, and career-ready. It helps students, professionals, and career changers succeed in digital healthcare.
Our Pricing
Affordable Pricing with Easy Payment Plans
- Interactive Online Training
- Hands-On Labs Training
- Exams Preps
- Free Microsoft Certificates
- 2 Sessions a Week
- Interactive Online Training
- Hands-On Labs Training
- Exams Preps
- Free Microsoft Certificates
- 2 Sessions a Week
- Interactive Online Training
- Hands-On Labs Training
- Exams Preps
- Free Microsoft Certificates
- 2 Sessions a Week
