About Course
Join SkilBrill's Microsoft Fabric Training — a comprehensive programme covering the tools, concepts and real-world projects that employers look for. The master course is delivered through live online sessions with weekday, weekend and evening batch options.
Course Overview
Microsoft Fabric brings together all the data and analytics tools an organisation needs into a single unified SaaS platform. This programme teaches you how to build lakehouses, warehouses, data pipelines, and Power BI reports on top of OneLake.
Why Learn Microsoft Fabric
Fabric is rapidly becoming the standard analytics platform in the Microsoft ecosystem. Organisations need professionals who can unify data engineering, data science, and BI on OneLake.
Who Should Join This Course
- Data engineers
- BI developers
- Data analysts
- Cloud professionals moving to Fabric
Prerequisites
- Basic SQL knowledge
- Understanding of data warehouses and lakes
- Familiarity with cloud concepts is helpful
Learning Objectives
- Ingest data into OneLake
- Build Lakehouse and Warehouse solutions
- Create Power BI reports on Fabric
- Implement data pipelines with Data Factory
- Apply security and governance
72 hrs across 12 modules (90 topics)
Tools and Technologies
Microsoft Fabric, OneLake, Power BI, Azure Data Factory, Azure Synapse, Spark, Delta Lake, T-SQL, Python, Git
Career Opportunities After This Programme
- Fabric Data Engineer
- Analytics Engineer
- BI Developer
- Data Architect
Hands-on Labs
- Hands-on lab on Microsoft Fabric Overview — build and run a working example covering Fabric architecture, OneLake and workspaces, Licensing and capacity.
- Hands-on lab on Data Engineering with Lakehouse — build and run a working example covering Notebooks and Spark, Delta Lake tables, Medallion architecture.
- Hands-on lab on Data Warehouse — build and run a working example covering T-SQL analytics, Warehouse vs Lakehouse, Query performance.
- Hands-on lab on Data Factory Pipelines — build and run a working example covering Copy activities, Dataflows Gen2, Orchestration and scheduling.
- Hands-on lab on Power BI Integration — build and run a working example covering Direct Lake mode, Semantic models, Report deployment.
- Hands-on lab on Governance and Security — build and run a working example covering Purview integration, Row-level security, Lineage and monitoring.
Career Roadmap
Role Progression
- Fabric Data Engineer
- Analytics Engineer
- BI Developer
- Data Architect
Step-by-Step Learning Path
- Master Microsoft Fabric Overview
- Master Data Engineering with Lakehouse
- Master Data Warehouse
- Master Data Factory Pipelines
- Master Power BI Integration
- Master Governance and Security
- Prepare for technical interviews and update your resume and portfolio
Course Duration, Mode and Certification
The course runs for 12 weeks with 3 sessions per week (2 hours per session), totalling 72 classroom hours. Classroom, online, and hybrid modes are available where supported. You will receive a SkilBrill completion certificate and work on real-world projects, with dedicated interview preparation support at the end of the programme.
Why Train at SkilBrill
SkilBrill Training Institute focuses on making you employable. Trainers are working professionals, labs mirror real production environments, and the placement cell connects eligible candidates with hiring companies. Enquire today for the next batch start date and fee details.
Career and Job Support
SkilBrill provides practical career support to help you move from training into relevant roles. Services include:
- Resume assistance
- LinkedIn profile guidance
- Portfolio guidance
- Technical interview preparation
- Mock interviews
- Project explanation preparation
- Job-search guidance
- Placement assistance
Resume Building Guidance
- Keep your resume to one page if you have less than five years of experience.
- Use a clean format with clear sections: contact, objective, skills, projects, education and certifications.
- Tailor your skills section to match the job description.
- Quantify achievements where possible, for example "reduced regression time by 30%".
- Include links to your GitHub, LinkedIn and portfolio if available.
- Proofread carefully; spelling and grammar errors create a poor impression.
LinkedIn Profile Optimisation
- Use a professional headshot and a headline that includes your target role.
- Write a summary that highlights your skills, projects and career goals.
- List relevant tools, frameworks and certifications in the Skills section.
- Share posts or articles about what you are learning to show activity.
- Connect with trainers, classmates and professionals in your target domain.
- Request recommendations from mentors or project reviewers.
GitHub and Portfolio Guidance
- Create well-named repositories for each major project.
- Add a README file explaining the project, technologies, setup steps and screenshots.
- Use meaningful commit messages and keep code organised.
- Include a portfolio website or GitHub profile readme that links to your best work.
- Keep sensitive data like passwords and API keys out of public repositories.
- Regularly update repositories with improvements and new projects.
Job Search Strategy
- Update your resume and LinkedIn profile before applying.
- Apply to roles on LinkedIn, Naukri, Indeed and company career pages.
- Customise each application to match the job description.
- Prepare a short elevator pitch for phone screenings.
- Practise technical and behavioural questions daily.
- Follow up politely after interviews and ask for feedback.
- Attend meetups, webinars and networking events in your domain.
Frequently Asked Questions
What is Microsoft Fabric?
Microsoft Fabric is Microsoft’s unified analytics platform combining data engineering, data warehousing, data science, real-time analytics, and Power BI on a single SaaS foundation with OneLake as the shared data lake.
Who should learn Microsoft Fabric?
Data engineers, BI developers, and data analysts who want to build skills on Microsoft’s flagship data platform as enterprises migrate to Fabric.
What are the prerequisites?
SQL fundamentals and basic data concepts. Power BI or Azure experience is helpful.
What topics are covered?
Fabric architecture and capacities, OneLake, Lakehouse and Warehouse, Data Factory pipelines, Spark notebooks, Power BI integration and DAX, real-time analytics with Eventstream, DirectQuery, dataflows, and governance with Purview.
Is training online or classroom?
The master programme is live online. City pages offer classroom and hybrid options where supported.
What career support is available?
Resume building, LinkedIn optimisation, Fabric interview preparation, lab project reviews, and placement assistance.