Weekend Fast-Track Data Engineering Program - EduArn LMS

 

Azure & Databricks | Built for Working Professionals

The demand for Data Engineers skilled in Azure and Databricks continues to grow across industries. However, working professionals often struggle to balance learning with full-time roles. Eduarn’s Weekend Fast-Track Data Engineering Program is designed to deliver job-ready, enterprise-grade skills within a short, structured timeline, without disrupting weekday work schedules.

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Program Format & Time Commitment

• Batch Type: Weekend (Fast-Track)

• Schedule:

  • Saturday: 4 Hours

  • Sunday: 4 Hours

• Program Duration: 8–12 Weeks

• Total Live Instructor-Led Sessions: 45 Hours

• LMS Video Lessons & Self-Learning: 20 Hours

• Mode: Live + Hands-On + LMS-based Learning

This blended approach ensures learners get direct expert guidance during live sessions, while foundational and revision content is available on-demand through the Eduarn LMS.

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What’s Covered in Live Weekend Sessions (45 Hours)

Live sessions focus on core and advanced Data Engineering skills, including:

• Data Engineering fundamentals & architecture

• Azure Data Lake (ADLS Gen2)

• Azure Data Factory (batch ingestion & orchestration)

• Azure Databricks & Apache Spark (PySpark)

• Delta Lake & Lakehouse architecture

• Streaming pipelines using Azure Event Hubs

• Azure Synapse Analytics

• Performance tuning & cost optimization

• End-to-end pipeline design

Each topic is taught with hands-on labs, real-world datasets, and practical scenarios.

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Fast-Track Learning via Eduarn LMS (20 Hours)

To accelerate learning without compromising depth, supporting and prerequisite content is delivered via LMS:

• SQL Basics & Advanced Queries

• Python Core for Data Engineering

• PySpark refreshers

• Recorded demos and walkthroughs

• Revision modules for fast-track learners

Learners can revisit this content anytime, ensuring flexibility and faster absorption.

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Assessments, Practice & Continuous Evaluation

To ensure strong outcomes, the program includes:

• Chapter-wise quizzes

• Multiple hands-on assignments

• Periodic technical tests

• Scenario-based problem solving

• Interactive Q&A during live sessions

This continuous evaluation helps learners stay aligned with industry and interview expectations.

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Doubt Clearance & Interview Preparation

Eduarn emphasizes learner success beyond course completion through:

• Dedicated doubt-clearing during sessions

• Interview preparation guidance (Azure, Databricks & DE roles)

• Mock Q&A and interview rounds

• Resume and project discussion support

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Capstone & Real-World Exposure

Learners work on realistic Data Engineering projects, simulating enterprise workloads and pipelines, strengthening their ability to work in production environments.

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Opportunity to Become a Freelancer Trainer

High-performing learners who demonstrate:

• Strong technical expertise

• Clear explanation and mentoring skills

• Consistent performance in assessments

may be offered opportunities to work with Eduarn as Freelancer Trainers, subject to evaluation and interest. This is ideal for learners aiming to build a career in technical training and mentoring.

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Who Should Join?

• Working IT professionals (1–8 years experience)

• Developers transitioning to Data Engineering

• Cloud engineers expanding into data platforms

• Professionals preparing for Azure / Databricks roles

• Individuals interested in freelance or corporate training careers

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Learn Faster. Learn Smarter. Learn with EduArn.

Eduarn’s Weekend Fast-Track Data Engineering Program combines expert-led training, hands-on practice, structured LMS support, and career-focused outcomes—all within a flexible weekend schedule.

📩 For detailed curriculum, LMS access, pricing, and enrollment, visit Eduarn.com or contact our training team today.