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Azure Bricks

  • Placement Guidance
  • Industry-led curriculum
  • Hands-on real-time projects
  • Globally recognized certification from FUZEN IT

540+

Project Hours

290

Contact Hours

600

E learning Hours

10 + 1

Tools/Languages

Build Scalable & High-Performance Applications

Azure Bricks Fuzen IT

At FUZEN IT, we empower you with Azure Databricks expertise to build, scale, and optimize big data and AI solutions on the Azure cloud. Our hands-on training ensures you master key tools like Apache Spark, Delta Lake, MLflow, and Azure Data Lake—equipping you to develop unified data pipelines, perform advanced analytics, and deploy machine learning models efficiently. With real-time collaboration and data engineering skills, you’ll be ready to solve complex business problems using cloud-native AI and data solutions.

  • 80% Practical Traning
  • Get trained form industry Experts
  • Instant doubt solving session
  • 100% Placement Assistance

Azure Bricks Course Highlights

  • Designed for Working Professionals and Graduates
  • Live online classes + Lifetime recorded videos
  • In-time Doubt clearing sessions with Mentors
  • Globally recognized FUZEN skill certifications
  • Work on real-life Industry Projects
  • Placement Assistance
  • EMI options available
  • Learn in English
Start learning now

Azure Bricks Roadmap and Curriculum

Introduction to Azure Databricks & Big Data Ecosystem

  • Overview of Databricks architecture on Azure

  • Apache Spark fundamentals

  • Understanding big data processing and storage

Workspace, Clusters & Notebooks

  • Navigating the Databricks workspace

  • Creating and managing clusters

  • Working with notebooks (Python, SQL, Scala)

Data Engineering with Apache Spark

  • DataFrames and Spark SQL

  • Transformations and actions

  • Reading/writing data from Azure Data Lake, Blob Storage, etc.

Delta Lake & Data Lake Integration

  • Introduction to Delta Lake

  • Implementing ACID transactions and time travel

  • Structured Streaming with Delta Lake

Machine Learning & Model Lifecycle

  • MLflow for experiment tracking and model deployment

  • Feature engineering & model training with Spark MLlib

  • Model registry and versioning

Real-time Analytics & Integration

  • Streaming data pipelines

  • Integration with Power BI and Synapse

  • Security, CI/CD, and best practices

Some of Our Success Stories

FAQ's

The duration varies based on the learning pace, but typically, the program can be completed within a structured timeframe.

Not necessarily. Many of our beginner-level courses are designed for freshers and non-IT students. However, for advanced programs like AI and Cybersecurity, a basic understanding of programming is helpful

Yes. All enrolled students receive lifetime access to course materials, resources, and updates even after completing the course.

You can reach out through our contact page, WhatsApp support, or visit our nearest branch for one-on-one guidance.

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