Build a Career in Data Engineering

Data Engineering with AI Course in Bangalore

  • Become a job-ready data engineer in 5 months

Build batch and real-time data pipelines with Python, SQL, Spark, Airflow, Kafka and AWS.

  • Build batch and streaming pipelines
  • Deploy a data platform capstone on AWS
  • 2-Month Internship Included
  • Offer price: ₹44,999 ₹35,999
  • Data Engineering with AI at Scholar’sEdge Academy, JP Nagar, Bangalore is a 5-month course: 3 hours a day, Monday to Friday, plus a Saturday pipeline lab, with a weekend batch also available. You learn Python, Git, Linux and SQL in depth, data modelling, ETL and ELT with Pandas, PySpark and Apache Spark, orchestration with Apache Airflow, Kafka basics for streaming, the AWS data stack (S3, Glue, Athena, Redshift, Lambda, IAM) and Snowflake basics. You also cover Delta Lake, data quality with dbt, Docker and CI/CD, and AI in data work. Every student gets a 2-month internship. Offer fee ₹35,999 (regular ₹44,999).
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Duration 5 Months

(3 hours a day, Mon–Fri, plus Saturday pipeline lab)

Batches

Weekday batch | Weekend batch

Certification

(Course + Internship certificates; aligned to AWS and Databricks)

Data Engineering with AI

Data Engineering with AI is Scholar’sEdge Academy’s data engineering course in Bangalore with internship, taught at our JP Nagar centre. A data engineer builds the pipelines that collect, clean and store data so that analysts and AI applications can use it. You learn this by building: a batch ETL pipeline, a scheduled Airflow pipeline with data-quality checks, a real-time streaming pipeline, and a deployed capstone on AWS.

The course runs for 5 months, with 3 hours of class a day from Monday to Friday plus a Saturday pipeline lab, and a weekend batch is also available. It is open to Engineering, BCA, MCA and BSc (CS, IT, Maths, Stats) graduates or final-year students, and to SQL developers, testers, support staff and data analysts moving up. Every enrolled student gets a 2-month internship. The offer fee is ₹35,999 (regular fee ₹44,999).

The training is aligned to the AWS Certified Data Engineer – Associate and Databricks Data Engineer Associate certifications; the exams are booked and taken separately with AWS and Databricks. You also learn how AI fits into data work: AI coding tools, natural-language-to-SQL, and embeddings and vector database basics for preparing data for RAG and LLM apps. Scholar’sEdge Academy is ISO 9001:2015 certified and MSME-registered.

See all courses in Bangalore at Scholar’sEdge Academy, or contact us to book a free demo class.

Last updated: 7 October 2026

Data Engineering with AI skills: data collection and integration, cleaning, analysis, reporting and data-driven decisions
Course at a glance
CourseData Engineering with AI
Duration5 months, plus a 2-month internship included
Schedule3 hours a day, Monday to Friday, plus Saturday pipeline lab
Weekend batchAvailable
Who it is forEngineering, BCA, MCA and BSc (CS, IT, Maths, Stats) graduates or final-year students; SQL developers, testers, support staff and data analysts moving up
ToolsPython, SQL, Pandas, PySpark, Apache Spark, Apache Airflow, Kafka, AWS (S3, Glue, Athena, Redshift, Lambda, IAM), Snowflake, Delta Lake, dbt, Docker
ProjectsBatch ETL pipeline from API to warehouse, Airflow daily pipeline with data-quality checks, real-time Kafka and Spark pipeline, deployed AWS capstone
Job rolesJunior Data Engineer, Data Pipeline Associate, ETL Developer, Analytics Engineer (Junior), SQL / Data Warehouse Developer
Certification alignmentAWS Certified Data Engineer – Associate and Databricks Data Engineer Associate (exams taken separately)
FeeOffer ₹35,999 (regular ₹44,999)
LocationJ. P. Nagar, Bengaluru, Karnataka 560078

Who is this Program For?

  • Engineering graduates
  • BCA graduates
  • MCA graduates
  • BSc (CS, IT, Maths, Stats)
  • Final-year students
  • SQL developers
  • Testers and support staff
  • Data analysts moving up
  • Eligibility: Engineering, BCA, MCA and BSc (CS, IT, Maths, Stats) graduates or final-year students; SQL developers, testers, support staff and data analysts moving up.

What You'll Become

  • After completing this course you can apply for
  • Junior Data Engineer
  • Data Pipeline Associate
  • ETL Developer
  • Analytics Engineer (Junior)
  • SQL / Data Warehouse Developer

Why People Love Us

At Scholar’sEdge Academy, we’ve earned the trust of our learners by focusing on what truly
matters real learning, real support, and real outcomes. Here’s why students choose us and recommend us:

Group of smiling Scholar'sEdge Academy students giving a thumbs up

We break down complex topics into easy-to-understand lessons, with a focus on doing — not just listening. You’ll work on real projects that make sense and build your confidence.

Many of our learners start with little to no experience — and that’s okay. Our courses are designed to guide you step by step, with no pressure and full support.

Our mentors are not just instructors — they’re friendly, helpful professionals who guide you like a coach, answer your doubts, and push you to grow.

Whether you’re in college, working, or switching careers — we give you the flexibility to learn at your pace, without deadlines or stress.

Learning a skill is just the first step. We also help you prepare for jobs from resume building and LinkedIn tips to mock interviews and soft skills.

No filler, no fluff. We teach only what’s useful in the real world — tools, skills, and strategies that employers actually want.

Our pricing is designed for students and learners like you — budget-friendly, but with high value. You’ll never feel like you’re overpaying.

Our learners have gone on to crack interviews, get internships, land jobs, or even start their own projects because we focus on building skills, not just certificates.

What You Will Learn

Course Overview

The curriculum takes you from SQL to deployed data platforms: Python, Git, Linux and SQL in depth (joins, CTEs, window functions, query tuning); data modelling (OLTP and OLAP, star schema); ETL and ELT with Pandas, PySpark and Apache Spark; orchestration with Apache Airflow and Kafka basics for streaming; the AWS data stack and Snowflake basics; Delta Lake, data quality and testing with dbt; Docker and CI/CD for pipelines; and AI in data work. You finish with a deployed AWS capstone.

Python, Git, Linux & SQL in Depth

Build strong foundations in Python, Git and Linux, and master SQL with joins, CTEs, window functions and query tuning.

Data Modelling: OLTP, OLAP & Star Schema

Learn how to design databases and warehouses, including OLTP vs OLAP, normalisation and star schemas.

ETL & ELT with Pandas, PySpark & Spark

Move and transform data with Pandas, PySpark and Apache Spark fundamentals.

Airflow Orchestration & Kafka Streaming

Schedule and monitor pipelines with Apache Airflow and learn the basics of real-time streaming with Kafka.

AWS Data Stack, Snowflake, Delta Lake & dbt

Work with S3, Glue, Athena, Redshift, Lambda and IAM, learn Snowflake basics, Delta Lake and data quality testing with dbt.

Docker, CI/CD & AI in Data Work

Package and ship pipelines with Docker and CI/CD, and use AI tools, natural-language-to-SQL and vector database basics in data work.

PythonGitLinuxSQLPandasPySparkApache SparkApache AirflowKafkaAWS S3AWS GlueAthenaRedshiftLambdaIAMSnowflakeDelta LakedbtDockerCI/CD

Real Projects You Will Build

  • Batch ETL pipeline: API to warehouse
  • Airflow daily pipeline with data-quality checks
  • Real-time pipeline with Kafka and Spark
  • Deployed data platform capstone on AWS

Career Accelerator

  • Resume Building
  • LinkedIn Profile Optimization
  • Portfolio Development
  • Mock Interviews
  • HR Preparation
  • Career Guidance
  • Job Opportunity Alerts

Internship Included

  • Every enrolled student gets a 2-month internship, working on real data pipeline tasks with mentors.
  • You'll experience
  • ETL Pipeline Building
  • SQL Warehouse Queries
  • Airflow Scheduling
  • Data Quality Checks
  • Streaming Pipelines
  • AWS Data Services
  • Pipeline Documentation

Who Can Join?

Data engineering course for graduates, SQL developers, testers, support staff and data analysts

✅ Engineering Graduates ✅ BCA ✅ MCA ✅ BSc ✅ SQL Developers ✅ Testers ✅ Data Analysts ✅ Engineering Graduates ✅ BCA ✅ MCA ✅ BSc ✅ SQL Developers ✅ Testers ✅ Data Analysts

Course and Internship Certificates

On completing the Data Engineering with AI course you receive a Scholar’sEdge Academy Course Completion Certificate, and an Internship Completion Certificate after your 2-month internship. Scholar’sEdge Academy is an ISO 9001:2015 certified and MSME-registered institute in JP Nagar, Bangalore.

Course Completion Certificate

Awarded when you complete the course. Scholar’sEdge Academy certificates are verified and uniquely numbered, so you can share them with employers and on LinkedIn.

Internship Completion Certificate

Awarded after you complete your 2-month internship with real tasks and mentor guidance.

Quick Enquiry

Scholar'sEdge Academy students and placement support
Our Achievements

Grow Your Skills And Advance Your Career Path

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Experience Tutors

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180+

Enrolled Students

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Qualified Courses

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Frequently Asked Questions

It is Scholar’sEdge Academy’s 5-month data engineering course in JP Nagar, Bangalore. You learn Python, SQL, Spark, Airflow, Kafka and the AWS data stack, and build batch and real-time data pipelines.
The course runs for 5 months, with 3 hours of class a day from Monday to Friday plus a Saturday pipeline lab. A weekend batch is also available. A 2-month internship is included.
Engineering, BCA, MCA and BSc (CS, IT, Maths, Stats) graduates or final-year students can join, as well as SQL developers, testers, support staff and data analysts who want to move up.
You learn Python, Git, Linux and SQL in depth; data modelling; ETL and ELT with Pandas, PySpark and Spark; Airflow and Kafka basics; the AWS data stack (S3, Glue, Athena, Redshift, Lambda, IAM) and Snowflake basics; Delta Lake and dbt data quality; Docker and CI/CD; and AI in data work.
A data engineer builds and maintains the pipelines that collect, clean, move and store data, so that analysts, dashboards and AI applications can use reliable data.
You build a batch ETL pipeline from an API to a warehouse, an Airflow daily pipeline with data-quality checks, and a real-time pipeline with Kafka and Spark. The course ends with a deployed capstone data platform on AWS.
Typical roles include Junior Data Engineer, Data Pipeline Associate, ETL Developer, Analytics Engineer (Junior) and SQL or Data Warehouse Developer.
Yes. The training is aligned to AWS Certified Data Engineer – Associate and Databricks Data Engineer Associate. The exams are booked and taken separately with AWS and Databricks.
The offer fee is ₹35,999 (regular fee ₹44,999). Every enrolled student gets a 2-month internship, and you receive a Scholar’sEdge Academy Course Completion Certificate and an Internship Completion Certificate.
Scholar’sEdge Academy is at Building No. 19, 25/1, 9th Cross Road, 2nd Phase, J. P. Nagar, Bengaluru, Karnataka 560078. To get batch dates and a free demo class, WhatsApp or call +91 99020 58603 or use the enquiry form on this page.

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