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Data Engineer Course in Pune

Data Engineering Course in Pune: ETL with SQL, Python, PySpark, dbt, Snowflake, Databricks, Airflow & Azure Fabric. Lakehouse, Medallion, incremental loads, SCD/CDC, data quality, orchestration, RAG agents, placement. Also cloud engineer courses in pune & data engineering classes in pune.

Engineer enterprise ETL/ELT pipelines with SQL, Python, PySpark and Spark SQL for scalable, production-grade data flows.
Design cloud data warehouses and Delta Lakehouse platforms on Snowflake, dbt, Databricks, Azure and Microsoft Fabric.
Orchestrate CDC, SCD, data-quality validation and recovery workflows with Apache Airflow and Azure Data Factory.
Build RAG-powered reporting, performance-monitoring and data-quality agents, backed by portfolio projects, mock interviews and placement support.
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2200+ Career Transformations
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Why Data Engineering Is One of the Most Future-Proof Careers in the AI Era

TECHCIRCLE.IN, 2026

AI Hiring in India Jumps 59.5% YoY as IT Majors & GCCs Step Up Talent Push

TIMES OF INDIA, 2026

India's AI Engineering Hiring Grew 59.5% YoY — Fastest in the World, per LinkedIn

TIMES OF INDIA, 2026

AI Shines Light on Untapped Potential

DATA ENGINEERING JOBS, 2026

Data Engineering Hiring Trends 2026: What to Watch Out For

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MARKET REALITY

Data Engineering Is One of the Most Future-Proof Careers in the AI Era?

THE GAP

23,000 unfilled

Unfilled Data Engineer with Gen AI positions in India

Demand vs Supply Gap

Industry Demand
Available Talent

Generative AI adoption is accelerating. Every enterprise needs AI engineers who can
build and deploy production systems.

Why Choose Our Data Engineer Course in Pune?

Best Data Engineering Course in Pune: SQL, Python, Spark, data warehousing; projects with dbt, Snowflake, Databricks, Airflow, Azure and Fabric. Data lake and lakehouse, Bronze/Silver/Gold Medallion, incremental loading, SCD, CDC, data validation, orchestration, monitoring, recovery, RAG reporting, performance and data-quality agents. Agile/Waterfall, profiles and placement support. Also cloud engineer courses in pune, data engineering classes in pune, Best Data Engineering Institute in Pune.

STUDENT WORKLOAD

300 Hours

DURATION

4-5 Months

MODE

Classroom + Live Online + Recordings

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Data Engineering Course Syllabus

Module 1: SQL – Part 1 SQL for Data Engineering
Module 1: SQL – Part 2 SQL for Data Engineering
Module 2: Python – Part 1 Python for Data Engineering
Module 2: Python – Part 2 Python for Data Engineering
Module 3: Apache Spark – Part 1 Apache Spark for Data Engineering
Module 3: Apache Spark – Part 2 Apache Spark for Data Engineering
Module 4: Data Warehousing Data Warehousing & Dimensional Modeling for Data Engineers
Module 5: Snowflake Snowflake Cloud Data Platform for Data Engineering
Module 6: DBT DBT (Data Build Tool) for Analytics Engineering on Snowflake
Project 1 Enterprise Data Warehouse Architecture
Module 7: Databricks – Part 1 Databricks for Data Engineering
Module 7: Databricks – Part 2 Databricks for Data Engineering
Module 8: Apache Airflow – Part 1 Apache Airflow for Workflow Orchestration
Module 8: Apache Airflow – Part 2 Apache Airflow for Workflow Orchestration
Project 02 Delta Lakehouse & Medallion Architecture
Module 9: Azure Data Factory – Part 1 Azure Data Factory for Cloud Data Engineering & Pipeline Orchestration
Module 9: Azure Data Factory – Part 2 Azure Data Factory for Cloud Data Engineering & Pipeline Orchestration
Module 10: Azure Databricks Azure Databricks for Lakehouse Data Engineering
Project 03 Azure Medallion Lakehouse & SQL Serving
Module 11: Azure Synapse – Part 1 Azure Synapse Analytics for Cloud Data Warehousing & Lakehouse Engineering
Module 11: Azure Synapse – Part 2 Azure Synapse Analytics for Cloud Data Warehousing & Lakehouse Engineering
Project 4 Enterprise Data Warehouse & Data Lake Query Architecture
Module 12: Azure Services Azure Services for Data Engineers — Storage, Security & Identity
Module 13: Microsoft Fabric Microsoft Fabric for End-to-End Data Engineering & Analytics
Project 05 Unified Lakehouse & Warehouse Architecture
Module 14: AWS – Part 1 AWS Data Engineering
Module 14: AWS – Part 2 AWS Data Engineering
Module 15: Generative AI – Part 1 Generative AI for Data Engineers
Module 15: Generative AI – Part 2 Generative AI for Data Engineers
Project 06 MCP-Enabled RAG Architecture for Dynamic Business Reporting
SQL-1

Module 1: SQL – Part 1 - SQL for Data Engineering

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:

8 Data Engineering and AI projects, enterprise implementation scenarios, and experience-wise roles and responsibilities covering 0–8 years of experience

Mini-Capstone Projects

Enterprise Data Warehouse Architecture | Snowflake, dbt & Airflow

Transform operational data into a tested, documented analytics warehouse using Snowflake, dbt and Apache Airflow. Build staging layers and star-schema marts with SCD Type 1 and 2 dimensions, incremental models, automated tests, reconciliation and orchestration with retries and backfills.

Snowflake dbt Apache Airflow Star Schema Incremental Models SCD Type 1 & 2 dbt Testing

Delta Lakehouse & Medallion Architecture with Databricks, Airflow & Snowflake

Combine historical files and live Kafka/Event Hubs events in a Delta Lakehouse. Transform data through Bronze, Silver and Gold layers with CDC, SCD, streaming and Airflow orchestration, then publish curated marts to Snowflake.

Databricks PySpark & Spark SQL Delta Lake Kafka / Event Hubs Apache Airflow Snowflake CDC MERGE & SCD

Multi-Domain | Azure Medallion Lakehouse & SQL Serving Architecture

Integrate enterprise data into ADLS Gen2, transform it with PySpark in Azure Databricks and publish dimensional datasets to Azure SQL. Build Bronze, Silver and Gold Delta layers with watermark and CDC loads, validation, SCD and safe reruns, orchestrated by Azure Data Factory.

Azure Data Factory Azure Databricks Azure SQL ADLS Gen2 Delta Lake PySpark Medallion Architecture CDC & SCD

Advanced Capstone Projects

Banking & Insurance | Enterprise Data Warehouse & Data Lake Query Architecture

Consolidate multi-source data into an Azure Synapse warehouse with ADLS raw and curated layers, incremental SCD loads, query tuning, reconciled reporting and a Serverless SQL layer for lake-file queries.

Azure Synapse Dedicated SQL Pool Serverless SQL Pool Synapse Pipelines PySpark ADLS Gen2 SCD

Multi-Domain | Unified Lakehouse & Warehouse Architecture on Microsoft Fabric

Bring historical batch data and live events into one Microsoft Fabric platform. Build OneLake Bronze, Silver and Gold Delta tables, Spark cleansing, Eventstreams ingestion, a dimensional Warehouse and Power BI reporting with monitoring and recovery.413097

Microsoft Fabric OneLake Spark Eventstreams Delta Lakehouse Power BI

Pharmaceutical & Life Sciences | End-to-End Clinical Lakehouse Platform

Build a production-grade Clinical Lakehouse Platform by integrating Clinical Trials, Patient Records, Laboratory, Drug Safety, and Manufacturing data from multiple enterprise systems. Orchestrate end-to-end data pipelines using Apache Airflow, process and transform data in Databricks with PySpark, Delta Lake, and the Medallion Architecture (Bronze, Silver, Gold), and publish curated datasets to Snowflake for enterprise analytics and regulatory reporting.

Databricks PySpark CrewAI Spark Apache Airflow Snowflake Delta Lake Auto Loader Unity Catalog CDC Medallion Architecture

AI Agent for Performance Monitoring & Optimisation

Build an AI agent that investigates slow pipelines and SQL queries using execution logs, monitoring metrics, baselines and runbooks. It detects duration anomalies, Spark skew and expensive joins, then delivers evidence-based recommendations for engineer approval.

Python LLM Platform APIs Execution Logs Monitoring Metrics Spark Performance SQL Tuning

AI Agent Architecture for Data Quality & Reconciliation

Combine deterministic validation with AI-assisted investigation to identify unreliable datasets, explain failed checks and recommend corrective actions, with human review before any change.

Python SQL / PySpark Validation Framework LLM Audit Tables

Generative AI | MCP-Enabled RAG Architecture for Dynamic Business Reporting

Build a reporting assistant that combines business-document knowledge with authorised access to warehouse and lakehouse data. Implement governed MCP tools, validated read-only SQL, role-based access, prompt-injection defences and reconciled, referenced reports.

Python LLMs Vector Search MCP Server Governed SQL Tools RAG

Trusted By Learners

Google
4.9/5 • 1,200+ Verified

“At IntelliBi Innovations Technologies, the Data Analyst course focused on Microsoft Azure and Power BI . The program is well-designed, providing a solid understanding of cloud-based analytics. Through hands-on Power BI training, practical skills are sharpened, and with Azure services,Python, PySpark, and SQL included, participants are well-prepared for real-world challenges. I highly recommend it for anyone looking to succeed in data analytics with Microsoft technologies.”

Shubham Kale
Data Analyst · clover infotech
Reddit
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“IntelliBI's teaching and mentor support boosted my confidence in interviews. Their structured learning made my prep more effective.”

Shubhangi Tanpure
Data Analyst · Infosys
JustDial
4.5/5 • 1,200+ Verified

“I work as a finance analyst in Hinjewadi and joined the Power BI course to improve reporting skills. The course was practical, project-oriented, and easy to follow. The trainer explained every topic with business examples. After completing the training, I received a better opportunity and now work extensively with Power BI dashboards. ”

amol bhagat
Azure Data Engineer · Infosys
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Tools & Technologies You'll Master

chatgpt
langchain
huggingface
Pinecone
PyTorch
statsmodels
Machine Learning
PostgreSQL
Scikit learn
matplotlib
ARTIFICIAL INTELLIGENCE
NumPy
Apache Airflow
Azure Data Factory
Azure Synapse
ADLS Gen2 (Azure Data Lake Storage Gen2)
chatgpt
langchain
huggingface
Pinecone
PyTorch
statsmodels
Machine Learning
PostgreSQL
Scikit learn
matplotlib
ARTIFICIAL INTELLIGENCE
NumPy
Apache Airflow
Azure Data Factory
Azure Synapse
ADLS Gen2 (Azure Data Lake Storage Gen2)
python
fastapi
aws
docker
SciPy
Pandas
LangChain
HUGGING FACE
Open AI API
SQL
PySpark
Databricks
Apache Spark
python
fastapi
aws
docker
SciPy
Pandas
LangChain
HUGGING FACE
Open AI API
SQL
PySpark
Databricks
Apache Spark

Courses Designed for Upscaling Professionals

Online/Offline/ Hybrid Program Become Microsoft AI-103 & AI-300 Certified

Advanced Artificial Intelligence Course

For Working Professionals

Course Duration 5-6 Months
Starts 15 November 2026

Course Highlights

  • Complete Roadmap: Python → SQL → ML → Deep Learning → Gen AI → RAG → Agentic AI → MLOps
  • 20+ Enterprise AI Applications including AI Copilots, RAG Systems & Multi-Agent AI
  • Hands-on with OpenAI, Claude, Gemini, Llama, LangChain, LangGraph, CrewAI & MCP
  • Production AI Deployment using FastAPI, Docker, Kubernetes & MLflow
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Online/Offline/Hybrid Program Become Microsoft AI-300 Certified

Machine Learning Course

For Working Professionals

Course Duration 2-3 Months
Starts 15 November 2026

Course Highlights

  • Python, SQL, Statistics, Machine Learning & Deep Learning
  • Predictive Analytics, NLP, Computer Vision & Recommendation Systems
  • Hands-on with Scikit-Learn, TensorFlow, PyTorch & Hugging Face
  • Enterprise Projects across Banking, Healthcare, Retail & Insurance
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Online/ Offline/ Hybrid Program Become Microsoft AI-103 Certified

Generative AI Course

For Working Professionals

Course Duration 2-3 Months
Starts 15 November 2026

Course Highlights

  • Master LLMs, Prompt Engineering, RAG, AI Agents & MCP
  • Build AI Copilots, Enterprise Search & Intelligent Automation Solutions
  • Hands-on with OpenAI, LangChain, LangGraph, CrewAI, Hugging Face & Vector Databases
  • Deploy Production AI Applications with FastAPI, Docker & Cloud Platforms
Enroll Now
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IntelliBI Has Helped Build 2200+ Careers

Shubham Kale

Shubham Kale

LinkedIn
↑120%

Data Analyst · clover infotech

PRE INTELLIBI Fresher
POST INTELLIBI Data Analyst

"When I visited IntelliBI, it became clear in my mind about the full roadmap of data analytics and how real-time projects look. Classes were conducted according to their roadmap; in it there were some mock interviews. Later, I was provided with basic to advanced knowledge about courses and real-time projects. I thank the entire IntelliBi team. and thank you for this opportunity "

120% Salary Hike after IntelliBI
Vishnu Mali

Vishnu Mali

LinkedIn
↑120%

Data Analyst . Datafortune

PRE INTELLIBI IT Support
POST INTELLIBI Data Engineer

"After spending four years in IT Support, I wanted a career with better growth and technical exposure. IntelliBI's Data Analyst Course in Pune helped me master Azure, Databricks, and real-world data engineering through hands-on projects, expert mentorship, and placement support. Today, I work as a Data Analyst , building production-grade data pipelines with confidence and making architecture decisions that drive business value."

120% Salary Hike after IntelliBI
Sonali Bhagat

Sonali Bhagat

LinkedIn
↑90%

Data engineer . NewVision

PRE INTELLIBI Web Developer
POST INTELLIBI Data Engineer

"As a Web Developer, I wanted a career with greater growth and opportunities in cloud technologies. IntelliBI's Data Engineering Course in Pune provided hands-on Azure, Databricks, and real-world data pipeline projects, along with expert mentorship and placement support. Today, I work as a Data Engineer, building scalable cloud data solutions and confidently driving enterprise data engineering initiatives with a future-ready career path."

90% Salary Hike after IntelliBI
Become Our Next Success Story

Learn from Senior Data Engineers and Industry Experts

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Why choose Intellibi For Data Engineer with Gen AI Training in pune?

9+ Years of Excellence in AI, Data

2200+

Careers Transformed

₹15–40 LPA

Typical Salary Range After Upskilling

95%+

Learner Success Rate

8+

Enterprise Projects

Designed Exclusively for Working Professionals

Master Modern Data Engineering through 99.99% real industry scenarios, enterprise-grade projects, and hands-on implementation. Learn directly from experienced industry professionals and develop the practical expertise required to design, build, and manage modern cloud data platforms with confidence.

Learn Data Engineering the Enterprise Way

Go beyond theory and tutorials. Learn how leading organizations design, build, automate, and manage enterprise-scale data platforms using Databricks, Snowflake, Azure, PySpark, and modern cloud technologies.

Real Data Engineering Projects. Real Business Impact.

uild production-ready ETL/ELT pipelines, Lakehouse architectures, Delta Lake solutions, and cloud-based data platforms through enterprise-inspired projects and real-world business use cases.

Master Data Engineering with Gen Al & Agentic Al

Learn how Generative Al, Agentic Al, Al Agents, and intelligent automation are transforming Data Engineering by accelerating pipeline development, data transformation, documentation, testing, monitoring, and operational efficiency.

Mentorship from Industry Leaders

Learn from experienced Data Engineers and Solution Architects with 10+ years of enterprise experience, who mentor you in architecture design, cloud implementation, best practices, interview preparation, and long-term career growth.

Frequently Asked Questions

Data Engineer with Gen AI Course

Which is the Best Data Engineering Course in Pune?

Choosing the Best Data Engineering Course in Pune depends on the curriculum, practical exposure, industry mentors, and placement support. A quality program should cover SQL, Python, Azure, Databricks, ETL, Cloud Computing, and real-time enterprise projects. IntelliBI's Data Engineering Course in Pune is designed around current industry requirements, helping students and working professionals gain practical skills that companies actively look for.

Who should join the Data Engineering Course in Pune?

Our Data Engineering Course in Pune is suitable for freshers, software developers, database professionals, system administrators, support engineers, testers, business analysts, and anyone looking to switch into Data Engineering. Even if you don't have prior experience, the course starts from fundamentals before progressing to advanced cloud technologies.

Why should I choose IntelliBI as the Best Data Engineering Institute in Pune?

The Best Data Engineering Institute in Pune should provide more than classroom learning. IntelliBI offers 99.99% practical training, live enterprise projects, mentors with 10+ years of industry experience, interview preparation, resume building, LinkedIn optimization, lifetime LMS access, and placement assistance. This practical approach helps learners become job-ready rather than simply completing a certification.

What will I learn in the Data Engineering Training in Pune?

The Data Engineering Training in Pune covers SQL, Python, Azure Data Factory (ADF), Databricks, PySpark, Azure Synapse Analytics, Data Lakes, ETL Pipelines, Data Warehousing, Git, CI/CD, Cloud Computing, and Generative AI for Data Engineering. The curriculum is designed to match the technologies used by leading enterprises worldwide.

Why is Azure Data Engineer Course in Pune in such high demand?

Organizations are rapidly moving their data platforms to Microsoft Azure, increasing the demand for Azure Data Engineers. An Azure Data Engineer Course in Pune teaches you how to build cloud-based ETL pipelines, manage large-scale data processing, implement Azure Data Factory, Azure Synapse, Data Lakes, and cloud security—skills that are highly valued in today's job market.

Why is Databricks Training in Pune important for Data Engineers?

Databricks has become one of the most widely used platforms for Big Data and AI workloads. Databricks Training in Pune helps learners master PySpark, Delta Lake, Unity Catalog, workflow orchestration, and large-scale data processing. These practical skills prepare learners for enterprise Data Engineering projects and modern cloud-based data platforms.

Does the Data Engineer Course in Pune include real-time projects?

Yes. Practical implementation is one of the most important aspects of becoming a successful Data Engineer. Our Data Engineer Course in Pune includes multiple enterprise-level capstone projects covering ETL pipelines, Azure Data Factory, Databricks, Cloud Data Lakes, production debugging, optimization, and deployment, giving learners hands-on experience before entering the industry.

How are Data Engineering Classes in Pune different from online tutorials?

Many online tutorials teach only individual tools, while professional Data Engineering Classes in Pune focus on complete end-to-end project implementation. IntelliBI combines classroom sessions, real-time projects, industry case studies, mentorship, mock interviews, and career guidance, ensuring learners understand how Data Engineering works in real organizations.

Are Cloud Computing Classes in Pune included in the course?

Yes. Modern Data Engineering depends heavily on cloud technologies. Along with Data Engineering, learners receive Cloud Computing Classes in Pune covering Microsoft Azure fundamentals, cloud architecture, networking, storage, security, identity management, and cloud deployment strategies used by enterprise organizations.

Is this Advanced Data Engineer Course in Pune suitable for working professionals?

Absolutely. Our Advanced Data Engineer Course in Pune is specifically designed for working professionals who want to upskill without leaving their jobs. Flexible weekday, weekend, and online learning options make it easier to balance work and learning while gaining practical industry experience.

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

After completing the Data Engineering Course in Pune, learners can apply for roles such as Data Engineer, Azure Data Engineer, Cloud Data Engineer, Big Data Engineer, ETL Developer, Analytics Engineer, Data Platform Engineer, Azure Consultant, and Cloud Solutions Engineer. The demand for these roles continues to grow across banking, healthcare, retail, manufacturing, and technology companies.

Do I need coding knowledge before joining the Data Engineering Course?

No prior coding experience is required. Our Data Engineering Training in Pune starts with SQL and Python fundamentals before introducing advanced Azure, Databricks, Cloud Computing, and Data Engineering concepts. This structured learning path makes it suitable for both beginners and experienced professionals.

Will I receive placement assistance after completing the course?

Yes. Along with technical training, IntelliBI provides resume building, LinkedIn profile optimization, mock interviews, aptitude preparation, technical interview guidance, career mentoring, and placement assistance. These services help learners confidently prepare for interviews and secure opportunities in leading organizations.

What certifications can I prepare for after completing this course?

The curriculum helps learners prepare for globally recognized certifications, including Microsoft Azure Data Engineer Associate, Azure Data Fundamentals, Databricks Certified Data Engineer, and other cloud-related certifications. These certifications complement the practical experience gained during the Data Engineering Course in Pune.

Why do working professionals recommend IntelliBI for Data Engineering Training in Pune?

Working professionals choose IntelliBI because of its industry-oriented curriculum, enterprise-level projects, AI-integrated learning, Azure and Databricks expertise, flexible schedules, experienced mentors, and strong placement support. Instead of focusing only on theory, IntelliBI emphasizes practical implementation, making it one of the Best Data Engineering Institutes in Pune for building a successful career in Cloud and Data Engineering.

What topics are covered in the Data Engineer with Gen AI course?

The course covers Python, SQL, Data Warehousing (Snowflake, Redshift, BigQuery), Data Pipelines (Airflow, dbt), Spark, Databricks, Cloud Platforms (Azure, AWS, GCP), Vector Databases, RAG frameworks, LLM Integration, AI Agents, and Production-grade GenAI systems.

How does your Data Engineering course prepare me for real-world projects?

We include 5+ capstone projects covering end-to-end data pipeline development, real-time streaming analytics, cloud data lake implementation, and Gen AI-powered applications that mirror industry scenarios.

How is your Data Engineering course different from others in Pune?

This course is designed for aspiring and working data engineers, software developers transitioning to data roles, BI and analytics professionals wanting to upskill, and IT professionals interested in AI/GenAI applications in data engineering.

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Live Training

Instructor-Led Training

Real-time corporate training with personalized mentoring, enterprise projects, and placement support.

Complete Roadmap: SQL → Python → Spark → dbt → Snowflake → Databricks → Airflow → Azure → Microsoft Fabric

100+ Hands-on Assignments & 8+ Enterprise Capstone Projects

Healthcare • Banking • Retail • Pharmaceutical Domains

Production ETL, Data Lake & Lakehouse Architecture

Azure, Databricks, Snowflake & AWS Hands-on Labs

Mock Interviews, Resume Building & Placement Support

Lifetime LMS Access + Class Recordings

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Next batch starting soon — limited seats

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Self-Paced Learning + Mentor Support

Recorded Self-Paced

Structured LMS learning with mentor guidance, enterprise projects, and career support.

250+ Hours of Structured LMS Learning with Lifetime Access

Same Learning Path as Live Training

Build 20+ Enterprise Solutions across Healthcare, Banking, Retail & Pharmaceutical Domains

SCD • CDC • Watermark • Data Validation • ETL Frameworks

Data Lake • Lakehouse • Medallion Architecture

Weekly Mentor Reviews, Code Reviews & Project Guidance

Resume Building, Mock Interviews & Dedicated Placement Assistance

Lifetime LMS Access + Free Course Updates

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