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Home / Generative AI (Gen AI) / Certificate Program in Applied Data Engineering

Certificate Program in Applied Data Engineering

Build, Manage & Scale Data Pipelines for Modern AI-Driven Enterprises

  • Corporate & Working Professionals Program
  • Production-Grade Data Engineering Curriculum
  • AI- & GenAI-Enabled Workflows
  • Enterprise & GCC Ready
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data science course reviews - 360digitmg

485 Reviews

data science course reviews - 360digitmg

2064 Learners

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Who Is This Program Designed For?

Software Engineers & Developers

Professionals with programming experience who want to transition into data engineering roles and work on large-scale data pipelines and platforms.

Data Analysts & BI Professionals

Analysts working with SQL, dashboards, or reporting tools who want to move upstream into data pipelines, data modeling, and backend data workflows.

Career Transitioners into Data Engineering

Professionals from analytics, QA, DevOps, IT, or support roles looking to build a strong foundation in modern data engineering and platform design.

Enterprises & GCC Data Teams in India

Organizations preparing teams to build reliable, scalable data infrastructure that supports analytics, AI, and enterprise decision systems.

 

Basic programmingknowledge recommended

SQL familiarityhelpful (but not mandatory)

Why Traditional Learning Is No Longer Enough
  • Tools are taught, but end-to-end data pipeline design is missing
  • Data exists, but pipelines break, scale poorly, or aren’t production-ready
  • Analytics & AI teams depend on data, yet data engineering is treated as an afterthought
  • Most programs teach concepts, not how real enterprise data systems operate

Applied DataEngineering bridges that gap with production-first learning.

What You'll Be Able to Do After This Program
  • Design and build end-to-end data pipelines for batch and scheduled workloads
  • Ingest, transform, and manage data from multiple sources into analytics-ready formats
  • Develop scalable data workflows that support BI, analytics, and AI teams
  • Ensure data reliability, quality, and performance in production environments
  • Apply AI & GenAI tools to accelerate data engineering tasks and workflows
  • Work confidently with modern enterprise data architectures
This programfocuses on building production-grade data systems - not just learning tools orisolated concepts.
How AI Is Integrated Into the Learning Experience

AI is used as an engineering accelerator to support data pipeline development, automation, and reliability - not as a shortcut or replacement.

AI used to assist data pipeline development and optimization
Guided AI-assisted exercises for real data engineering workflows
Practical prompting frameworks for data engineering tasks
Exposure to AI-enabled data engineering workflows used in modern enterprise data platforms
Human review combined with expert guidance to ensure correctness, performance, and production readiness
You don’t just learn about AI - you learn how to use AI responsibly while building real data systems.

Program Structure

01

Foundation

  • Data Engineering Fundamentals
  • Python and SQL foundations for data pipelines
  • Understanding data formats, transformations, and ingestion patterns
  • Core concepts behind modern data engineering workflows
02

Application

  • Applied Data Engineering in Practice
  • Hands-on labs to build end-to-end data pipelines
  • Data ingestion, transformation, and pipeline orchestration
  • Applying AI to accelerate pipeline development and troubleshooting
03

Practice & Guidance

  • Production-Ready Data Systems
  • Real-world exercises focused on scalable and reliable data systems
  • Performance optimization, validation, and error handling
  • Expert guidance to ensure production readiness and best practices

 

The program progresses from fundamentals to applied AI systems - ensuring you don’t justlearn concepts, but build real, deployable solutions.

Why This Program Is Worth Your Time

Designed for working engineers & technical professionals

Strong focus on building production-grade data pipelines

AI-enabled from Day 1 for data engineering workflows

Industry-relevant, enterprise-scale data scenarios

Suitable for role progression or transition into Data Engineering

Certification aligned to real-world data engineering roles and enterprise data platforms.

Program Fees & Enrollment

Program Fee

Starting from

32,500

GST Applicable | No-cost EMI options available

An investment designed for professionals preparing for AI-enabled roles in 2026–27

What This Includes

  • 84 hours of live, instructor-led data engineering sessions
  • 116 hours of structured self-paced learning
  • Hands-on data engineering labs & pipeline projects
  • AI-enabled engineering workflows
  • 6 months of LMS access
  • Industry-recognized digital certification

Important Note

Final program fee may vary based on batch selection, eligibility, corporate sponsorship, or enterprise enrollment. Our program advisors will help you choose the most suitable option based on your career goals.

Looking for Advanced AI Tracks?

If you're aiming to go deeper into AI strategy, GenAI, or implementation, you may also explore our advanced AI capability programs:

Applied Gen AI (AGAI)

Practical GenAI usage across business and technical roles

Global AI Accelerator (GAIL)

Advanced AI adoption, implementation, and leadership exposure

These programs are designed for professionals and teams preparing for AI-led transformation, beyond analytics foundations.

Call us Today!

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Limited seats available. Book now

Trusted by Leading Enterprises for Data Science & AI Capability Building

300+

Corporate Clients

5,000+

Professionals Trained

Pan-India

Learners Across Major Cities

Expert

Faculty & Practitioners

Supporting data engineering, analytics, and AI capability building for Indian enterprises preparing for 2026 and beyond.

Alumni Speak

Pavan Satya

"The training was organised properly, and our instructor was extremely conceptually sound. I enjoyed the interview preparation, and 360DigiTMG is to credit for my successful placement.”

Pavan Satya

Senior Software Engineer

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Chetan Reddy

"Although data sciences is a complex field, the course made it seem quite straightforward to me. This course's readings and tests were fantastic. This teacher was really beneficial. This university offers a wealth of information."

Chetan Reddy

Data Scientist

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Santosh Kumar

"The course's material and infrastructure are reliable. The majority of the time, they keep an eye on us. They actually assisted me in getting a job. I appreciated their help with placement. Excellent institution.”

Santosh Kumar

Business Intelligence Analyst

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Kadar Nagole

"Numerous advantages of the course. Thank you especially to my mentors. It feels wonderful to finally get to work.”

Kadar Nagole

Data Scientist

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Gowtham R

"Excellent team and a good atmosphere. They truly did lead the way for me right away. My mentors are wonderful. The training materials are top-notch.”

Gowtham R

Data Engineer

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Wan Muhamad Taufik

"The instructors improved the sessions' interactivity and communicated well. The course has been fantastic.”

Wan Muhamad Taufik

Associate Data Scientist

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Venu Panjarla

"The instructors went above and beyond to allay our fears. They assigned us an enormous amount of work, including one very difficult live project. great location for studying.”

Venu Panjarla

AVP Technology

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Frequently Asked Questions

  • Yes. This program is designed for working professionals and technical learners at differentstages.
  • No prior data engineering experience is required. We start with Python, SQL, and data fundamentals, and progressively move into production-grade data pipelines and systems.
  • Basic programming familiarity is helpful, but not mandatory.

AI is used as an engineering productivity layer, not as a shortcut. You will learn how to use AI to:

  • Assist in pipeline development and SQL generation
  • Debug and optimize data workflows
  • Document and improve data engineering tasks
  • All AI usage is guided and reviewed to ensure correctness and production readiness.
  • The program includes a blend of live instructor-led sessions and structured self-paced learning.
  • Live sessions are scheduled to accommodate working professionals
  • Self-paced modules allow flexibility alongside your job
  • Typical weekly effort: 6–8 hours, depending on your pace and background.

The program is delivered 100% online through:

  • Live, instructor-led sessions
  • Hands-on data engineering labs
  • Pipeline-based assignments and projects
  • Expert guidance from industry data engineering practitioners

This program focuses on how data engineering works in real enterprises, not just tools.You’ll learn pipeline design, scalability, reliability, and best practices used in production environments.

Companies That Trust Us

360DigiTMG offers customised corporate training programmes that suit the industry-specific needs of each company. Engage with us to design continuous learning programmes and skill development roadmaps for your employees. Together, let’s create a future-ready workforce that will enhance the competitiveness of your business.

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Student Voices

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 Is This Program Right for You?

Our advisors can help you determine if this program fits your career goals.

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Disclaimer

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