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Master Advanced Data Engineering with AI

Build scalable data pipelines, master cloud architecture, and integrate GenAI. A rigorous 24-week program designed for tech professionals looking to break into top-tier Data Engineering roles.

Basic AI Agents & Automation Systems
Learn LLMs, RAG, Prompt Engineering
Work on Real AI Projects
Placement Support Included
2200+ Career Transformations
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90% Placement Assistance
Master Advanced Data Engineering with AI

Databricks Data Engineer Course Syllabus

Module 1: SQL – Part 1 SQL for Databricks
Module 1: SQL – Part 2 SQL for Databricks
Module 2: Python – Part 1 Python for Data Engineering
Module 2: Python – Part 2 Python for Databricks
Module 3: Apache Spark – Part 1 Apache Spark for Databricks
Module 3: Apache Spark – Part 2 Apache Spark for Databricks
Module 4: Data Warehousing Data Warehousing & Dimensional Modeling for Databricks
Module 5: Snowflake Snowflake Cloud Data Platform for Databricks
Module 6: DBT DBT (Data Build Tool) for Analytics Engineering on Snowflake
Module 7: Databricks – Part 1 Core Databricks
Module 7: Databricks – Part 2 Advanced Databricks
Module 8: Apache Airflow – Part 1 Apache Airflow for Workflow Orchestration
Module 8: Apache Airflow – Part 2 Apache Airflow for Workflow Orchestration
Module 9: Generative AI – Part 1 Generative AI for Databricks
Module 9: Generative AI – Part 2 Generative AI for Databricks
SQL-1

Module 1: SQL – Part 1 - SQL for Databricks

Build a production-grade SQL foundation on SQL Server and T-SQL — from database design, DDL/DML/TCL and functions through joins, subqueries, CTEs and window functions, to indexes, execution plans, views, PIVOT and stored procedures — finishing with a star-schema capstone that applies MERGE, SCD and performance tuning on real healthcare data.

Software Installation — SQL Server and SQL Server Management Studio (SSMS)
Introduction to SQL, Database, RDBMS, Relational Database Concepts, Data Warehousing, and the Role of SQL in Data Engineering
SQL Commands — DDL, DML, DQL, DCL, and TCL
Creating and Managing Tables — CREATE, ALTER, DROP, TRUNCATE, RENAME, INSERT, UPDATE, DELETE, and MERGE
Basic SELECT Command, Table Creation, Inserting Values, SQL Data Types (VARCHAR, NVARCHAR, INT, BIGINT, DECIMAL, DATE, DATETIME)
Arithmetic Expressions, Column Aliases, Concatenation Operators, DISTINCT Keyword, and Literal Character Strings
Practice Questions — SQL Fundamentals and Basic Queries
Filtering Rows Using the WHERE Clause
Comparison Operators (=, <>, !=, <, >, <=, >=)
BETWEEN, IN, and NOT IN Operators
Pattern Matching Using the LIKE Operator and Wildcard Characters (%, _)
Logical Operators (AND, OR, NOT) and NULL Conditions (IS NULL, IS NOT NULL)
Sorting Rows Using the ORDER BY Clause (ASC, DESC) and Limiting Rows Using TOP
Practice Questions — SQL Operators, Filtering, and Sorting
SQL Functions — Aggregate, Scalar, and Conditional Functions
Character Functions (UPPER, LOWER, TRIM, SUBSTRING, CHARINDEX, REPLACE, LEN, CONCAT, STRING_AGG)
Number Functions (ROUND, FLOOR, CEILING, ABS, POWER, SQRT, RAND)
Working with Dates and Time (GETDATE, SYSDATETIME, DATEADD, DATEDIFF, DATEPART, FORMAT, CONVERT, YEAR, MONTH, DAY, EOMONTH)
NULL Handling Functions (ISNULL, COALESCE, NULLIF) and Conditional Expressions (CASE WHEN, ELSE, END)
Data Type Conversion Using CAST and CONVERT
TOOLS & TECHNOLOGIES:
SQL Server • T-SQL SSMS Git
PROJECTS:

Tools & Technologies You'll Master

Delta Live Tables (DLT)
Databricks Workflows
Auto Loader
Unity Catalog
huggingface
Pinecone
python
fastapi
Delta Live Tables (DLT)
Databricks Workflows
Auto Loader
Unity Catalog
huggingface
Pinecone
python
fastapi
Databricks Repos
DBFS
chatgpt
langchain
aws
docker
Databricks Repos
DBFS
chatgpt
langchain
aws
docker

What Our Students Say

Frequently Asked Questions

Databricks Course

Which is the Best Databricks Data Engineering Course in Pune?

Choosing the Best Databricks Institute in Pune involves more than comparing course fees. A quality Databricks Data Engineering Course in Pune should cover Apache Spark, PySpark, Delta Lake, Unity Catalog, MLflow, Lakehouse Architecture, workflow orchestration, and real-time enterprise projects. IntelliBI's program is designed to help learners gain practical experience with the same technologies used by leading organizations worldwide.

Why should I choose IntelliBI for Databricks Training in Pune?

A professional Databricks Training in Pune should combine theoretical concepts with practical implementation. IntelliBI provides 99.99% practical learning through enterprise projects, live coding sessions, experienced mentors with 10+ years of industry expertise, interview preparation, resume building, LinkedIn optimization, lifetime LMS access, and placement assistance to help learners become industry-ready.

Who can join the Databricks Course in Pune?

The Databricks Course in Pune is suitable for Data Engineers, Software Developers, ETL Developers, Data Analysts, Cloud Engineers, Azure professionals, Big Data professionals, and freshers interested in building a career in modern data engineering. The curriculum starts with fundamentals before progressing to advanced enterprise implementations.

What topics are covered in the Databricks Data Engineer Training in Pune?

The Databricks Data Engineer Training in Pune covers Lakehouse Architecture, Apache Spark, PySpark, Delta Lake, Unity Catalog, MLflow, Databricks SQL, Data Pipelines, ETL Development, Auto Loader, Delta Live Tables, Workflow Orchestration, Performance Optimization, CI/CD, and real-world Data Engineering projects.

Why is Databricks becoming one of the most in-demand Data Engineering platforms?

Organizations are rapidly adopting the Lakehouse Architecture to unify data engineering, analytics, and AI workloads. Databricks enables companies to process massive datasets efficiently using Spark, Delta Lake, and cloud-native technologies. As more enterprises adopt Databricks, professionals with Databricks skills are seeing excellent career opportunities across Data Engineering, Analytics, and AI domains.

Does the Databricks Course with Placement in Pune include real-time projects?

Yes. Practical learning is one of the biggest strengths of our Databricks Course with Placement in Pune. Learners build enterprise-level projects including ETL pipelines, Lakehouse implementations, Delta Lake optimization, PySpark transformations, workflow automation, and production-ready cloud data solutions.

Is Azure Databricks Training in Pune included in the course?

Yes. Our Azure Databricks Training in Pune includes workspace management, cluster configuration, notebooks, Delta Lake, Azure integration, Azure Data Factory connectivity, cloud storage, performance tuning, and enterprise deployment practices used in real business environments.

What is the difference between Databricks Classes in Pune and online tutorials?

Most online tutorials explain individual concepts, but professional Databricks Classes in Pune provide structured learning, mentor guidance, project reviews, live assignments, enterprise datasets, interview preparation, and real-world implementation. This practical approach helps learners confidently work on production-grade Data Engineering projects.

Is this Databricks PySpark Course in Pune suitable for beginners?

Yes. The Databricks PySpark Course in Pune starts with Spark fundamentals and gradually progresses to advanced PySpark transformations, window functions, optimization techniques, Delta Lake, and enterprise pipeline development. Beginners can comfortably build strong Data Engineering skills with structured guidance.

Is Databricks Certification Training in Pune worth it?

Yes. Databricks Certification Training in Pune is valuable because it combines certification preparation with practical implementation. Employers prefer professionals who can demonstrate hands-on experience with Databricks, Spark, Delta Lake, and cloud data engineering rather than certification alone.

What career opportunities are available after completing the Databricks Data Engineering Course in Pune?

Completing a Databricks Data Engineering Course in Pune prepares learners for roles such as Databricks Data Engineer, Data Engineer, Azure Data Engineer, Spark Developer, Big Data Engineer, Cloud Data Engineer, ETL Developer, Analytics Engineer, and Data Platform Engineer. These roles are in high demand across banking, healthcare, retail, manufacturing, and technology companies.

Do I need Spark or Python experience before joining the course?

No prior Spark experience is required. The course begins with Databricks fundamentals, PySpark basics, and Lakehouse concepts before moving into advanced Spark optimization, Delta Lake, workflow orchestration, and production-grade implementations. Basic Python knowledge is helpful but not mandatory.

Will I receive placement assistance after completing the Databricks Course with Placement in Pune?

Yes. IntelliBI provides complete career support including resume building, LinkedIn profile optimization, ATS-friendly resume reviews, mock interviews, technical interview preparation, portfolio development, and placement assistance to help learners secure Data Engineering opportunities.

What certifications can I prepare for after completing the course?

The curriculum prepares learners for the Databricks Certified Data Engineer Associate certification while also strengthening practical knowledge of Azure Databricks, Apache Spark, Delta Lake, Unity Catalog, MLflow, and enterprise Data Engineering practices used in modern organizations.

Why do working professionals recommend IntelliBI as the Best Databricks Institute in Pune?

Working professionals choose IntelliBI because of its enterprise-focused curriculum, 99.99% practical learning approach, real-time Lakehouse projects, experienced industry mentors, flexible weekday and weekend batches, lifetime LMS access, certification guidance, and dedicated placement support. Instead of teaching only concepts, IntelliBI focuses on helping learners build production-ready Data Engineering skills that employers value.