Azure Databricks For Data Engineers: Go From Zero To Hero
Published 5/2026
Created by Dr Sachin Saxena
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 12 Lectures ( 1h 2m ) | Size: 598 MB
Datalake Gen2, Delta Lake, Medallion Architecture, DevOps, Pyspark, Unity Catalog, CI/CD Pipelines, Azure Repos, YAML
What you’ll learn
⚡ Comprehensive Training on Tools like Azure DataBricks, PySpark, SQL and Azure Foundry, OpenAI
⚡ Practical Learning with Real-World Projects and Datasets
⚡ Hands-on project with Unity Catalog, Delta Lake, Medallion Architecture
⚡ Gain direct insights into the cloud on your journey to becoming a ????????? Data Engineer.
⚡ Deep-diving into schema enforcement, time travel, ACID transactions
⚡ Building an end-to-end Delta Lake pipeline (Bronze → Silver → Gold)
⚡ Implement CI/CD workflows in Azure Databricks
⚡ Azure GEN AI Foundary Implement LLMOps with Azure Databricks
⚡ Databricks and Azure ML (MLflow)
Requirements
❗ Familiarity with SQL is helpful but not mandatory
❗ Basic understanding of Python is recommended
❗ Interest in Cloud Computing and Data Engineering
Description
Master Azure Databricks, PySpark, GenAI & Azure DevOps with Real-Time Projects
Become a highly skilled Data Engineer, AI Engineer, and Cloud Professional by learning industry-demand technologies through hands-on practical implementation and live industrial projects.
This comprehensive course is specially designed for students, working professionals, data engineers, cloud engineers, AI enthusiasts, and anyone looking to build a successful career in Azure Data Engineering, Databricks, Generative AI, and MLOps.
In this course, you will gain practical exposure to real-world enterprise-level implementations using Azure Cloud services and Databricks Platform.
What You Will Learn
✨ Azure Databricks Platform
✨ Databricks with PySpark
✨ Databricks SQL
✨ Azure Data Engineering Architecture
✨ Medallion Architecture
✨ Delta Lake
✨ Unity Catalog
✨ Azure ML & MLflow
✨ Generative AI (GenAI)
✨ Azure DevOps
✨ Azure AI Foundry
Topics Covered
✨ ACID Transactions
✨ Schema Enforcement
✨ Data Versioning & Time Travel
✨ Data Reliability & Governance
✨ Incremental Data Processing
✨ Merge, Update & Delete operations
Master centralized governance and data management in Databricks
✨ Data Governance
✨ Access Control
✨ Data Lineage
✨ Centralized Asset Management
✨ Secure Data Sharing
Hands-On Practical Sessions
This course focuses heavily on practical implementation.
You will work on
✨ Live Industrial Projects
✨ Real-Time ETL Pipelines
✨ Databricks Notebooks
✨ Delta Lake Implementations
✨ Azure Cloud Deployments
✨ MLflow Experiment Tracking
✨ DevOps CI/CD Pipelines
✨ GenAI Integrations
Why This Course?
✨ Beginner to Advanced Level Coverage
Industry-Oriented Training
Real-Time Project Implementation
Job-Oriented Learning Approach
Practical Exposure to Enterprise Architecture
Resume Building Guidance
Interview Preparation Support
Learn from Real Industry Use Cases
Who Should Enroll?
✨ Data Engineers
✨ Data Analysts
✨ Cloud Engineers
✨ AI/ML Engineers
✨ Software Developers
✨ Students & Freshers
✨ Working Professionals
✨ Anyone interested in Azure & Databricks
Who this course is for
⭐ Students and freshers
⭐ Working professionals
⭐ Software developers
⭐ Data analysts
⭐ Anyone looking to switch into Data Engineering or Cloud technologies
Be First to Comment