Azure Databricks with Generative AI

Databricks is the operating system for modern data + AI work — every serious enterprise is moving onto it. This two-month program makes you fluent in the entire Databricks stack on Azure: PySpark and Spark SQL at scale, Delta Lake for ACID transactions, Unity Catalog for governance, MLflow for ML lifecycle management, and Mosaic AI for building Generative AI workloads inside the lakehouse. You'll ship a complete bronze-to-gold pipeline on real datasets and prepare for the Databricks Certified Data Engineer Professional exam.

0 lessons

What you'll learn

Write PySpark code that scales from 1GB to 1TB without changes
Architect Lakehouse pipelines with Delta Lake + Unity Catalog from scratch
Tune Spark joins, shuffles, and broadcasts for 10× speedups
Track ML experiments + deploy models with MLflow end-to-end
Build streaming pipelines with structured streaming + Delta
Integrate Generative AI workloads directly inside the lakehouse
Pass the Databricks Certified Data Engineer Professional exam
Land Senior Data Engineer roles at ₹15-30 LPA

Technologies Taught

Apache Spark — PySpark, Spark SQL, structured streamingDelta Lake — ACID transactions, time travel, CDFUnity Catalog — fine-grained governance + lineageDatabricks SQL + dashboardingMLflow — experiment tracking, model registry, deploymentPhoton engine + adaptive query executionAuto Loader + DLT (Delta Live Tables) for declarative ETLDatabricks Mosaic AI for GenAI integrationLakehouse Federation across data sourcesWorkflows for orchestration

Course Unique Features

Run real workloads on a free Databricks Community workspace
Build bronze → silver → gold pipelines on production-scale datasets
Hands-on tuning that cuts cluster cost by 50-70%
Databricks Certified Data Engineer Professional prep included
Mosaic AI + vector search labs — not just theory
Daily 90-minute live sessions with screen-share debugging
Code review on every assignment + capstone project
Mock interview rounds focused on Spark internals + system design
Direct referrals to Azure + Databricks-first companies hiring now
Lifetime access to notebooks + dataset library

Job Opportunities

Top job positions you can apply for after completing this training.

Job Role	Experience	Salary Range
1. Junior Databricks Developer	Fresher to 2 Years	₹5–9 LPA
2. Databricks Data Engineer	2 to 4 Years	₹9–15 LPA
3. GenAI Engineer (Databricks)	2 to 5 Years	₹12–20 LPA
4. MLOps Engineer	3 to 6 Years	₹15–25 LPA
5. Lakehouse Architect	6 to 9 Years	₹25–40 LPA
6. Principal AI Engineer	9+ Years	₹35–55 LPA

You Can Work As

Databricks Data EngineerLakehouse EngineerBig Data EngineerSpark DeveloperML Platform EngineerSenior Data Engineer (Databricks)

Upcoming In-Demand Jobs

Databricks Solutions ArchitectAI/ML Engineer (Lakehouse)Real-Time Data Engineer

Course Curriculum

Module 1 — Azure & Databricks Fundamentals

3 topics

•Azure portal, resource groups, storage accounts
•Databricks workspace, clusters, notebooks
•Unity Catalog basics

Module 2 — Spark & PySpark Essentials

3 topics

•RDDs, DataFrames, transformations vs actions
•Window functions, joins, performance tuning
•Catalyst Optimizer & AQE

Module 3 — Delta Lake & Lakehouse

3 topics

•Delta tables, time travel, schema evolution
•Medallion architecture (Bronze / Silver / Gold)
•Streaming with Structured Streaming + Delta

Module 4 — MLflow & Productionization

3 topics

•Experiment tracking and model registry
•Databricks Jobs & Workflows
•Model Serving endpoints

Module 5 — Generative AI on Databricks

3 topics

•Azure OpenAI integration
•Prompt engineering patterns
•Vector embeddings & Databricks Vector Search

Module 6 — RAG & Agents

3 topics

•Building RAG pipelines end-to-end
•LangChain on Databricks
•Multi-step agents with tools

Module 7 — Fine-Tuning

3 topics

•LoRA / QLoRA on open-source LLMs
•Hugging Face + Databricks training
•Evaluation & deployment

Module 8 — Capstone Project

2 topics

•End-to-end GenAI lakehouse pipeline
•Demo + presentation

Course Instructed By

Mr. Aarav K (dummy instructor)---

Microsoft Certified Azure Data + AI Engineer with 11+ years of experience across Spark, Databricks, and applied Generative AI. Has led lakehouse and GenAI initiatives at multiple enterprises and trained hundreds of professionals into Databricks + GenAI roles. (Approved trainer placeholder — Raj Cloud Technologies.)

Approved trainer by Raj Cloud Technologies

Course content

Lifetime access

Watch at your own pace

Certificate included

On 100% completion

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₹21,999

One-time payment. Lifetime access.

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Lifetime access
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