Combo Program

★★★★★

(2,088 ratings) 50,000+ Student

DATA ENGINEERING WITH DATABRICKS, PYSPARK & GENERATIVE AI COMBO Training in Pune

The Data Engineering with Databricks, PySpark & Generative AI Combo course is designed for learners who want to build practical skills in modern data engineering and AI-powered data workflows. The training covers Databricks, PySpark, data processing, ETL pipelines, data lakes, data transformation, and Generative AI applications through hands-on exercises and real-world projects. Learners gain experience working with large datasets and using AI tools to improve data workflows and productivity. This course is ideal for aspiring data engineers, software developers, data analysts, cloud professionals, freshers, and IT professionals looking to build skills in modern data engineering and Generative AI.

Radical Technologies

50,000+ English 51 Modules · 38 Courses

Online / Classroom

DATA ENGINEERING WITH DATABRICKS, PYSPARK & GENERATIVE AI COMBO

Program Overview + Who Should Join? + Prerequisites + Course Highlights + Module 1 – Data Engineering Fundamentals + Module 2 – Python for Data Engineering + Module 3 – SQL from Basic to Advanced + Module 4 – Linux for Data Engineers + Module 5 – Apache Spark + Module 6 – PySpark + Module 7 – Databricks + Module 8 – Delta Lake + Module 9 – Azure Data Factory (ADF) + Module 10 – Azure Data Lake Storage (ADLS) + Module 11 – Apache Kafka + Module 12 – Data Warehousing + Module 13 – ETL & ELT + Module 14 – Cloud Data Engineering + Module 15 – Generative AI for Data Engineers + Module 16 – Retrieval-Augmented Generation (RAG) + Module 17 – LangChain & AI Agents + Module 18 – Production Data Engineering + Hands-on Labs + Assignments + Mini Projects + Capstone Project + Real-Time Job-Oriented Scenarios + Troubleshooting Scenarios + Industry Tools Covered + Best Practices + Recommended Certifications + Mock Interview Preparation + Resume Preparation + Placement Assistance + Latest Industry Topics + How This Course Benefits Different Experience Levels + Current Market Scenario + Future Outlook (Next 10 Years)

Courses Included 38 Courses Combined

Batch Type Weekdays / Weekends

Mode of Training Classroom / Online / Corporate

Locations Pune, Bangalore, Kochi

Language English

Certification Globally Recognized

Tools you'll master

Azure Databricks SQL PySpark Python GitHub LangChain Big Data CI/CD Linux

Next batch: Contact us ·

Call Now

100% placement assistance

What you'll learn

Project 1

Project 2

Enterprise Data Lakehouse with Generative AI

Programming

Big Data

Freshers

1–3 Years of Experience

Programme Overview

51 modules across Program Overview, Who Should Join?, Prerequisites, Course Highlights, Module 1 – Data Engineering Fundamentals, Module 2 – Python for Data Engineering, Module 3 – SQL from Basic to Advanced, Module 4 – Linux for Data Engineers, Module 5 – Apache Spark, Module 6 – PySpark, Module 7 – Databricks, Module 8 – Delta Lake, Module 9 – Azure Data Factory (ADF), Module 10 – Azure Data Lake Storage (ADLS), Module 11 – Apache Kafka, Module 12 – Data Warehousing, Module 13 – ETL & ELT, Module 14 – Cloud Data Engineering, Module 15 – Generative AI for Data Engineers, Module 16 – Retrieval-Augmented Generation (RAG), Module 17 – LangChain & AI Agents, Module 18 – Production Data Engineering, Hands-on Labs, Assignments, Mini Projects, Capstone Project, Real-Time Job-Oriented Scenarios, Troubleshooting Scenarios, Industry Tools Covered, Best Practices, Recommended Certifications, Mock Interview Preparation, Resume Preparation, Placement Assistance, Latest Industry Topics, How This Course Benefits Different Experience Levels, Current Market Scenario, Future Outlook (Next 10 Years) — a single, progressive learning arc from foundational concepts to real-world projects.

Courses Combined

Total Modules

422

Total Topics

4.8★

Average Rating

50K+

Students Trained

Program Overview

Master the core concepts and hands-on skills of Program Overview — from fundamentals to real-world application.

Data Warehousing Databricks Big Data

Who Should Join?

Master the core concepts and hands-on skills of Who Should Join? — from fundamentals to real-world application.

Python SQL

Prerequisites

Master the core concepts and hands-on skills of Prerequisites — from fundamentals to real-world application.

Prerequisites

Course Highlights

Master the core concepts and hands-on skills of Course Highlights — from fundamentals to real-world application.

Azure Data Warehousing Databricks

Module 1 – Data Engineering Fundamentals

Master the core concepts and hands-on skills of Module 1 – Data Engineering Fundamentals — from fundamentals to real-world application.

Module 1 – Data Engineering Fundamentals

Module 2 – Python for Data Engineering

Master the core concepts and hands-on skills of Module 2 – Python for Data Engineering — from fundamentals to real-world application.

Python Pandas NumPy

Who is this programme for?

Whether you're starting from scratch, know some SQL, or are already writing code — this programme takes you from database fundamentals through Python programming to real-world data analysis.

Students & Freshers

Build a strong foundation in DATA ENGINEERING WITH DATABRICKS, PYSPARK & GENERATIVE AI COMBO and gain practical, job-ready experience from day one.

Working Professionals

Upskill and combine complementary skills from multiple courses in one structured programme.

Career Switchers

Move into a new technical role with a single, structured path covering everything you need.

IT Professionals

Deepen your expertise and broaden your skill set with hands-on, practical training.

Course Curriculum

38 courses • 51 modules • 422 topics

Program Overview

Courses Combined

100% Practical · Unlimited Doubt Sessions

Become a Modern Data Engineer by mastering Python

SQL

Apache Spark

PySpark

Databricks

Delta Lake

Azure Data Factory

Apache Kafka

Data Warehousing

ETL/ELT

Cloud Data Engineering

Data Lakes

Generative AI

LLMs

AI Agents

RAG

Vector Databases

MLOps

and Production-Ready Data Pipelines.

This program is designed to prepare candidates for Data Engineering

Big Data Engineering

Analytics Engineering

AI Data Engineering

and Gen AI Data Engineer roles.

Who Should Join?

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Fresh Graduates

• Software Engineers

• Python Developers

• SQL Developers

• ETL Developers

• BI Developers

• Data Analysts

• Data Scientists

• Cloud Engineers

• DevOps Engineers

• Database Administrators

• AI/ML Enthusiasts

• Working Professionals looking to transition into Data Engineering

Prerequisites

Courses Combined

100% Practical · Unlimited Doubt Sessions

• No prior Data Engineering experience required

• Basic computer knowledge

• Logical thinking

• Programming background is helpful but not mandatory

Course Highlights

Courses Combined

100% Practical · Unlimited Doubt Sessions

• ✅Python Programming

• ✅Advanced SQL

• ✅Linux Fundamentals

• ✅Data Engineering Fundamentals

• ✅Apache Spark

• ✅PySpark

• ✅Databricks Lakehouse Platform

• ✅Delta Lake

• ✅Azure Data Factory

• ✅Apache Kafka

• ✅Azure Data Lake Storage (ADLS)

• ✅Data Warehousing

• ✅ETL & ELT Pipelines

• ✅Data Modeling

• ✅Git & GitHub

• ✅Azure DevOps / CI-CD

• ✅Docker Fundamentals

• ✅Generative AI

• ✅Large Language Models (LLMs)

• ✅Retrieval-Augmented Generation (RAG)

• ✅LangChain

• ✅LangGraph (Overview)

• ✅AI Agents

• ✅Vector Databases

• ✅Prompt Engineering

• ✅Production Projects

Module 1 – Data Engineering Fundamentals

Courses Combined

100% Practical · Unlimited Doubt Sessions

• What is Data Engineering?

• Data Engineer Roles & Responsibilities

• Data Pipeline Architecture

• Batch vs Streaming

• Data Lakes

• Data Warehouses

• Lakehouse Architecture

• Medallion Architecture

• Enterprise Data Platforms Data Warehouses

• Lakehouse Architecture

• Medallion Architecture

• Enterprise Data Platforms

Module 2 – Python for Data Engineering

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Python Basics

• OOP Concepts

• File Handling

• Exception Handling

• Functions

• Modules

• Pandas

• NumPy

• API Calls

• JSON Processing

• Logging

• Virtual Environments

Module 3 – SQL from Basic to Advanced

Courses Combined

100% Practical · Unlimited Doubt Sessions

• SELECT

• JOIN

• GROUP BY

• Window Functions

• CTE (Common Table Expressions)

• Stored Procedures

• Indexing

• Performance Tuning

• Query Optimization

• Advanced SQL Interview Questions

Module 4 – Linux for Data Engineers

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Linux Commands

• Shell Scripting

• File Management

• Permissions

• Cron Jobs

• Process Management

Module 5 – Apache Spark

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Spark Architecture

• Spark Cluster

• Spark SQL

• RDD

• DataFrames

• Transformations

• Actions

• Caching

• Partitioning

• Optimization

Module 6 – PySpark

Courses Combined

100% Practical · Unlimited Doubt Sessions

• DataFrame API

• Spark SQL

• Data Cleaning

• Data Transformation

• Aggregations

• Window Functions

• UDFs

• Performance Optimization

• Partitioning

• Broadcast Joins

Module 7 – Databricks

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Databricks Workspace

• Clusters

• Notebooks

• Jobs

• Workflows

• Unity Catalog

• Databricks SQL

• Secrets

• Widgets

• Repos

• Asset Bundles (Overview)

Module 8 – Delta Lake

Courses Combined

100% Practical · Unlimited Doubt Sessions

• ACID Transactions

• Delta Tables

• Time Travel

• Schema Evolution

• Merge Operations

• Upserts

• Change Data Feed (CDF)

• Delta Optimization

• Vacuum

• Z-Ordering

Module 9 – Azure Data Factory (ADF)

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Linked Services

• Pipelines

• Data Flows

• Integration Runtime

• Triggers

• Parameterization

• Scheduling

• Monitoring

Module 10 – Azure Data Lake Storage (ADLS)

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Storage Accounts

• Containers

• File Management

• Security

• Data Organization

Module 11 – Apache Kafka

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Kafka Architecture

• Producers

• Consumers

• Topics

• Partitions

• Streaming Pipelines

• Real-Time Processing

Module 12 – Data Warehousing

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Star Schema

• Snowflake Schema

• Slowly Changing Dimensions (SCD)

• Fact Tables

• Dimension Tables

• Data Modeling

Module 13 – ETL & ELT

Courses Combined

100% Practical · Unlimited Doubt Sessions

• ETL Design

• ELT Pipelines

• Incremental Loads

• CDC Concepts

• Workflow Automation

• Error Handling

• Logging

Module 14 – Cloud Data Engineering

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Azure Data Platform

• Databricks on Azure

• Storage Integration

• Identity & Access Management

• Cost Optimization

Module 15 – Generative AI for Data Engineers

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Introduction to Generative AI

• Large Language Models (LLMs)

• Foundation Models

• Prompt Engineering

• AI APIs

• OpenAI API Concepts

• Azure OpenAI Concepts

• Model Selection

Module 16 – Retrieval-Augmented Generation (RAG)

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Embeddings

• Vector Databases

• Similarity Search

• Chunking Strategies

• Retrieval Pipelines

• Hybrid Search

Module 17 – LangChain & AI Agents

Courses Combined

100% Practical · Unlimited Doubt Sessions

• LangChain Fundamentals

• Chains

• Agents

• Memory

• Tool Calling

• Multi-Step Workflows

• LangGraph Overview

• MCP (Model Context Protocol) Concepts

Module 18 – Production Data Engineering

Courses Combined

100% Practical · Unlimited Doubt Sessions

• CI/CD

• GitHub

• Azure DevOps

• Monitoring

• Logging

• Testing

• Data Quality

• Deployment

• Security

• Governance

Hands-on Labs

Courses Combined

100% Practical · Unlimited Doubt Sessions

Students will build practical solutions including:

• Python ETL Scripts

• SQL Optimization Labs

• Spark Transformations

• PySpark Data Pipelines

• Databricks Notebook Development

• Delta Lake Implementation

• Azure Data Factory Pipelines

• Kafka Streaming Pipelines

• Data Warehouse Design

• Data Lake Implementation

• REST API Data Ingestion

• Incremental Loading

• RAG Pipeline

• AI Chatbot using Enterprise Data

• Vector Search Integration

• End-to-End Lakehouse Pipeline

Assignments

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Python Coding Assignments

• SQL Challenges

• Spark Transformations

• Databricks Notebook Exercises

• Delta Lake Labs

• Kafka Streaming Exercises

• ADF Pipeline Development

• ETL Design

• Data Modeling

• Prompt Engineering Tasks

• RAG Implementation Exercises

Mini Projects

Courses Combined

100% Practical · Unlimited Doubt Sessions

Retail Sales ETL Pipeline

Customer Analytics Platform

Real-Time Streaming with Kafka & PySpark

Data Lakehouse on Databricks

Healthcare Data Engineering Pipeline

AI-Powered Enterprise Knowledge Assistant

Capstone Project

Courses Combined

100% Practical · Unlimited Doubt Sessions

The final project includes:

• Multi-source Data Ingestion

• Azure Data Lake Storage

• Databricks Processing

• Delta Lake Architecture

• Medallion Architecture (Bronze, Silver, Gold)

• Apache Kafka Streaming

• Azure Data Factory Orchestration

• Enterprise Data Warehouse

• Dashboard Data Layer

• RAG Implementation

• Enterprise AI Chatbot

• Vector Database Integration

• Production Deployment

• Monitoring & Logging

Real-Time Job-Oriented Scenarios

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Batch ETL Failures

• Streaming Pipeline Issues

• Data Quality Problems

• Schema Evolution

• Delta Merge Conflicts

• Late Arriving Data

• Slowly Changing Dimensions

• CDC Implementation

• Pipeline Performance Optimization

• Cloud Cost Optimization

• AI Integration into Data Pipelines

• Enterprise Data Governance

Troubleshooting Scenarios

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Spark Job Failures

• Databricks Cluster Issues

• Memory Optimization

• Shuffle Problems

• Kafka Consumer Lag

• ADF Pipeline Errors

• Delta Table Corruption Recovery

• Permission Issues

• Performance Bottlenecks

• AI API Failures

• Vector Search Issues

Industry Tools Covered

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Python

• SQL

• Linux

• Apache Spark

• PySpark

• Delta Lake

• Apache Kafka

• Microsoft Azure

• Azure Data Factory

• Azure Data Lake Storage

• Azure Key Vault (Overview)

• Databricks

• Unity Catalog

• Databricks SQL

• OpenAI API Concepts

• Azure OpenAI Concepts

• LangChain

• LangGraph

• Vector Databases (FAISS, ChromaDB, Pinecone concepts)

• Ollama (Local LLM Overview)

• Git

• GitHub

• Azure DevOps

• Docker

• CI/CD Concepts

Best Practices

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Lakehouse Architecture

• Medallion Design Pattern

• Data Quality Frameworks

• Secure Credential Management

• Performance Optimization

• Cost Optimization

• Incremental Processing

• Data Governance

• Naming Standards

• CI/CD for Data Pipelines

• AI Governance & Responsible AI

• Documentation Standards

Recommended Certifications

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Databricks Certified Data Engineer Associate

• Databricks Certified Data Engineer Professional

• Microsoft Certified: Azure Data Engineer Associate (DP-203)

• Microsoft Certified: Azure Fundamentals (AZ-900)

• Microsoft Certified: Azure AI Fundamentals (AI-900)

• Apache Spark Certification (where available)

• Snowflake SnowPro Core (optional for broader career opportunities)

Mock Interview Preparation

Courses Combined

100% Practical · Unlimited Doubt Sessions

Our interview preparation includes:

• Python and SQL coding assessments.

• Spark and PySpark technical interviews.

• Databricks architecture discussions.

• Data modeling and ETL design questions.

• Cloud and Azure data engineering scenarios.

• GenAI

RAG

and LLM implementation discussions.

• Production support scenarios.

• HR interview preparation.

• Project presentations with expert feedback.

• Final enterprise-style mock interviews.

Resume Preparation

Courses Combined

100% Practical · Unlimited Doubt Sessions

We help candidates with:

1. ATS-friendly resume creation.

2. Highlighting end-to-end Data Engineering projects.

3. Optimizing resumes with Databricks

Spark

Azure

and GenAI keywords.

4. Writing impactful project descriptions.

5. LinkedIn profile optimization.

6. GitHub portfolio guidance.

7. Professional summary creation.

8. Resume review sessions.

9. Role-specific resume customization.

10. Final interview-ready resume validation.

Placement Assistance

Courses Combined

100% Practical · Unlimited Doubt Sessions

We provide comprehensive placement support through:

• Resume forwarding to 850+ Hiring Partners

• Dedicated placement team

• Technical interview scheduling

• Mock interviews

• HR interview coaching

• Career mentoring

• LinkedIn branding

• Job alerts

• Salary negotiation guidance

• Continuous support until placement

Latest Industry Topics

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Lakehouse Architecture

• Data Mesh

• Data Fabric

• Delta Live Tables

• Databricks Unity Catalog

• AI-Powered Data Engineering

• Generative AI for Data Pipelines

• Agentic AI

• Retrieval-Augmented Generation (RAG)

• AI Agents for Analytics

• Real-Time Analytics

• Data Observability

• Microsoft Fabric (Overview)

• Apache Iceberg & Open Table Formats (Overview)

How This Course Benefits Different Experience Levels

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Build a strong foundation in Data Engineering.

• Learn job-ready technologies through projects and hands-on labs.

• Become eligible for Junior Data Engineer roles.

• Upskill to modern cloud and big data technologies.

• Transition from SQL/ETL/BI roles into Data Engineering.

• Gain practical exposure to Databricks and PySpark.

• Advance into Senior Data Engineer or Lead Data Engineer roles.

• Learn scalable architectures

optimization

and AI integration.

• Prepare for Data Architect

Cloud Data Architect

AI Data Engineer

or Engineering Manager roles.

• Build expertise in enterprise data platforms

governance

and GenAI adoption.

Current Market Scenario

Courses Combined

100% Practical · Unlimited Doubt Sessions

Organizations are rapidly modernizing their analytics platforms using cloud-native lakehouses and real-time data pipelines. Databricks

Apache Spark

and PySpark have become core technologies for processing large-scale data

while Generative AI is creating new opportunities to build intelligent data products

AI-powered search

and enterprise knowledge assistants. Employers increasingly seek professionals who combine strong data engineering fundamentals with cloud

automation

and AI capabilities.

Future Outlook (Next 10 Years)

Courses Combined

100% Practical · Unlimited Doubt Sessions

Over the next decade

Data Engineering is expected to remain one of the most in-demand technology domains. Growth in AI

real-time analytics

IoT

and cloud computing will continue driving demand for scalable data platforms. Professionals skilled in Databricks

PySpark

cloud data engineering

and Generative AI are expected to play a central role in building enterprise AI systems

modern data platforms

and intelligent business applications. This combination of Data Engineering and GenAI positions candidates for long-term

highgrowth career opportunities across industries.

Tools & Technologies

Every tool and library listed here is installed, configured and used in a hands-on lab session.

Program Overview

Data Warehousing

Covered in Program Overview

Databricks

Covered in Program Overview

Big Data

Covered in Program Overview

PySpark

Covered in Program Overview

Who Should Join?

Python

Covered in Who Should Join?

SQL

Covered in Who Should Join?

Prerequisites

Covered in Prerequisites

Course Highlights

Azure

Covered in Course Highlights

Data Warehousing

Covered in Course Highlights

Databricks

Covered in Course Highlights

LangChain

Covered in Course Highlights

Module 1 – Data Engineering Fundamentals

Covered in Module 1 – Data Engineering Fundamentals

Module 2 – Python for Data Engineering

Python

Covered in Module 2 – Python for Data Engineering

Pandas

Covered in Module 2 – Python for Data Engineering

NumPy

Covered in Module 2 – Python for Data Engineering

Module 3 – SQL from Basic to Advanced

SQL

Covered in Module 3 – SQL from Basic to Advanced

Module 4 – Linux for Data Engineers

Linux

Covered in Module 4 – Linux for Data Engineers

Module 5 – Apache Spark

SQL

Covered in Module 5 – Apache Spark

Module 6 – PySpark

SQL

Covered in Module 6 – PySpark

Module 7 – Databricks

Databricks

Covered in Module 7 – Databricks

SQL

Covered in Module 7 – Databricks

Module 8 – Delta Lake

Covered in Module 8 – Delta Lake

Module 9 – Azure Data Factory (ADF)

Covered in Module 9 – Azure Data Factory (ADF)

Module 10 – Azure Data Lake Storage (ADLS)

Covered in Module 10 – Azure Data Lake Storage (ADLS)

Module 11 – Apache Kafka

Covered in Module 11 – Apache Kafka

Module 12 – Data Warehousing

Snowflake

Covered in Module 12 – Data Warehousing

Module 13 – ETL & ELT

Covered in Module 13 – ETL & ELT

Module 14 – Cloud Data Engineering

Azure

Covered in Module 14 – Cloud Data Engineering

Databricks

Covered in Module 14 – Cloud Data Engineering

Module 15 – Generative AI for Data Engineers

Azure

Covered in Module 15 – Generative AI for Data Engineers

Module 16 – Retrieval-Augmented Generation (RAG)

Covered in Module 16 – Retrieval-Augmented Generation (RAG)

Module 17 – LangChain & AI Agents

LangChain

Covered in Module 17 – LangChain & AI Agents

Module 18 – Production Data Engineering

GitHub

Covered in Module 18 – Production Data Engineering

CI/CD

Covered in Module 18 – Production Data Engineering

Azure

Covered in Module 18 – Production Data Engineering

Hands-on Labs

Databricks

Covered in Hands-on Labs

PySpark

Covered in Hands-on Labs

Python

Covered in Hands-on Labs

Azure

Covered in Hands-on Labs

Assignments

Databricks

Covered in Assignments

Python

Covered in Assignments

SQL

Covered in Assignments

Mini Projects

Databricks

Covered in Mini Projects

PySpark

Covered in Mini Projects

Capstone Project

Azure

Covered in Capstone Project

Databricks

Covered in Capstone Project

Real-Time Job-Oriented Scenarios

Covered in Real-Time Job-Oriented Scenarios

Troubleshooting Scenarios

Databricks

Covered in Troubleshooting Scenarios

Industry Tools Covered

Azure

Covered in Industry Tools Covered

Databricks

Covered in Industry Tools Covered

SQL

Covered in Industry Tools Covered

LangChain

Covered in Industry Tools Covered

Best Practices

CI/CD

Covered in Best Practices

Recommended Certifications

Azure

Covered in Recommended Certifications

Databricks

Covered in Recommended Certifications

Snowflake

Covered in Recommended Certifications

Mock Interview Preparation

Databricks

Covered in Mock Interview Preparation

PySpark

Covered in Mock Interview Preparation

Python

Covered in Mock Interview Preparation

Azure

Covered in Mock Interview Preparation

Resume Preparation

Databricks

Covered in Resume Preparation

GitHub

Covered in Resume Preparation

Azure

Covered in Resume Preparation

Placement Assistance

Covered in Placement Assistance

Latest Industry Topics

Databricks

Covered in Latest Industry Topics

How This Course Benefits Different Experience Levels

Databricks

Covered in How This Course Benefits Different Experience Levels

Big Data

Covered in How This Course Benefits Different Experience Levels

PySpark

Covered in How This Course Benefits Different Experience Levels

SQL

Covered in How This Course Benefits Different Experience Levels

Current Market Scenario

Databricks

Covered in Current Market Scenario

PySpark

Covered in Current Market Scenario

Future Outlook (Next 10 Years)

Cloud Computing

Covered in Future Outlook (Next 10 Years)

Databricks

Covered in Future Outlook (Next 10 Years)

PySpark

Covered in Future Outlook (Next 10 Years)

10+

Tools & Libraries

422+

Hands-On Topics

Total Modules

Courses Combined

You don't just learn DATA ENGINEERING WITH DATABRICKS, PYSPARK & GENERATIVE AI COMBO. You apply it.

A combined capstone project across all 38 courses — the same way you'd apply these skills on the job.

PROJECT // 01

DATA ENGINEERING WITH DATABRICKS, PYSPARK & GENERATIVE AI COMBO Capstone Project

→Program Overview

→Who Should Join?

→Prerequisites

→Course Highlights

→Module 1 – Data Engineering Fundamentals

→Module 2 – Python for Data Engineering

→Module 3 – SQL from Basic to Advanced

→Module 4 – Linux for Data Engineers

→Module 5 – Apache Spark

→Module 6 – PySpark

→Module 7 – Databricks

→Module 8 – Delta Lake

→Module 9 – Azure Data Factory (ADF)

→Module 10 – Azure Data Lake Storage (ADLS)

→Module 11 – Apache Kafka

→Module 12 – Data Warehousing

→Module 13 – ETL & ELT

→Module 14 – Cloud Data Engineering

→Module 15 – Generative AI for Data Engineers

→Module 16 – Retrieval-Augmented Generation (RAG)

→Module 17 – LangChain & AI Agents

→Module 18 – Production Data Engineering

→Hands-on Labs

→Assignments

→Mini Projects

→Capstone Project

→Real-Time Job-Oriented Scenarios

→Troubleshooting Scenarios

→Industry Tools Covered

→Best Practices

→Recommended Certifications

→Mock Interview Preparation

→Resume Preparation

→Placement Assistance

→Latest Industry Topics

→How This Course Benefits Different Experience Levels

→Current Market Scenario

→Future Outlook (Next 10 Years)

Capstone Project Combined

Apply everything you learn across Program Overview, Who Should Join?, Prerequisites, Course Highlights, Module 1 – Data Engineering Fundamentals and 33 more to one real-world project

Bring together every course in this programme into a single, end-to-end project — the same way you would apply these combined skills on the job.

A working project combining all course modules

Added directly to your project portfolio

Reviewed by mentors before you graduate

Stack Azure Databricks SQL PySpark Python GitHub LangChain Big Data CI/CD Linux

Hands-on Practice Areas

Hands-on Practice: Program Overview Hands-on Practice: Who Should Join? Hands-on Practice: Prerequisites Hands-on Practice: Course Highlights Hands-on Practice: Module 1 – Data Engineering Fundamentals Hands-on Practice: Module 2 – Python for Data Engineering Hands-on Practice: Module 3 – SQL from Basic to Advanced Hands-on Practice: Module 4 – Linux for Data Engineers Hands-on Practice: Module 5 – Apache Spark Hands-on Practice: Module 6 – PySpark Hands-on Practice: Module 7 – Databricks Hands-on Practice: Module 8 – Delta Lake Hands-on Practice: Module 9 – Azure Data Factory (ADF) Hands-on Practice: Module 10 – Azure Data Lake Storage (ADLS) Hands-on Practice: Module 11 – Apache Kafka Hands-on Practice: Module 12 – Data Warehousing Hands-on Practice: Module 13 – ETL & ELT Hands-on Practice: Module 14 – Cloud Data Engineering Hands-on Practice: Module 15 – Generative AI for Data Engineers Hands-on Practice: Module 16 – Retrieval-Augmented Generation (RAG) Hands-on Practice: Module 17 – LangChain & AI Agents Hands-on Practice: Module 18 – Production Data Engineering Hands-on Practice: Hands-on Labs Hands-on Practice: Assignments Hands-on Practice: Mini Projects Hands-on Practice: Capstone Project Hands-on Practice: Real-Time Job-Oriented Scenarios Hands-on Practice: Troubleshooting Scenarios Hands-on Practice: Industry Tools Covered Hands-on Practice: Best Practices Hands-on Practice: Recommended Certifications Hands-on Practice: Mock Interview Preparation Hands-on Practice: Resume Preparation Hands-on Practice: Placement Assistance Hands-on Practice: Latest Industry Topics Hands-on Practice: How This Course Benefits Different Experience Levels Hands-on Practice: Current Market Scenario Hands-on Practice: Future Outlook (Next 10 Years)

All projects go directly into your portfolio & resume — reviewed by mentors before you graduate.

See Sample Project Reports

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Why Radical Technologies

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Assignments and Projects by Mentors

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Global Certification

Radical Technologies is the leading IT certification institute in Pune, offering globally recognized certifications across various domains. With expert trainers and comprehensive materials, we ensure students gain in-depth knowledge and hands-on experience to excel in their careers. Our certification programs are tailored to meet industry standards — from cloud technologies to data science — empowering individuals to stay ahead in the ever-evolving tech landscape.

Career Services

At Radical Technologies, we are committed to your success beyond the classroom. Our 100% Job Assistance program ensures that you are not only equipped with industry-relevant skills but also guided through the job placement process. With personalised resume building, interview preparation, and access to our extensive network of hiring partners, we help you take the next step confidently into your IT career.