Azure Databricks For Data Engineers Go From Zero To Hero

[Emperor2011]

Azure Databricks For Data Engineers: Go From Zero To Hero
Published 5/2026
Created by Dr Sachin Saxena
MP4 | Video: h264, 1920x1080 | 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


https://rapidgator.net/file/17de6dd..._Data_Engineers_Go_From_Zero_to_Hero.rar.html