6840+ Job Posting Available
6840+ Job Posting Available
Placements in Data Engineering With AI Course: 1,342

Data Engineering With AI Course Online with Certification

Build job-ready data pipelines with Python, SQL, Apache Spark, Databricks, Delta Lake, Airflow, dbt, and cloud data engineering tools. This online training is structured around practical work, so you learn how modern data teams move data from source systems to analytics-ready platforms.

4.7/5 from 1,432 reviews
70% hands-on work across pipeline building, SQL, Spark, and cloud tasks
Covers Python for data engineering, advanced SQL, ETL/ELT, and data warehousing
Includes Databricks, Delta Lake, Airflow, dbt, and streaming workflows
AI-assisted coding, debugging, SQL generation, and documentation are built into the course
Real projects cover retail, e-commerce, banking transactions, and lakehouse pipelines
Designed for learners who want Data Engineering Certification with job-focused training
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14,200+ (Placed)

Freshers to IT

7,100+ (Placed)

Non-IT to Tech

5,800+ (Placed)

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6,400+ (Placed)

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Placement Record

We have placed 10,579 Students in Data Engineering With AI Course

Microsoft logo
Google logo
Deloitte logo
Infosys logo
Zomato logo
Tech Mahindra logo
5.2 LPA
Pramod

Pramod

5.2 LPAServiceNow Developer

Prodapt
5.7 LPA
Vihaana

Vihaana

5.7 LPAAndroid Developer

Nextwebi
6 LPA
Navya

Navya

6 LPAAndroid Developer

Corsel Technologies
7 LPA
Karthik

Karthik

7 LPAAndroid Developer

appzoc
9 LPA
Sanjeev Sukla

Sanjeev Sukla

9 LPAAI Engineer

Tech Mahindra
5 LPA
Sukumar Roy

Sukumar Roy

5 LPAData Scientist

Accenture
8 LPA
Jagjith Rathode

Jagjith Rathode

8 LPAMachine Learning Engineer

Deloitte
4 LPA
Lipika Shah

Lipika Shah

4 LPAAI Engineer

Infosys
4 LPA
Kutumb Sharma

Kutumb Sharma

4 LPAAssociate Product Manager

Cognizant
3.45 LPA
Gheeta Kumari

Gheeta Kumari

3.45 LPANetwork Engineer

Cognizant
3.75 LPA
Venkatesh Iyengar

Venkatesh Iyengar

3.75 LPANOC Support Engineer

BharatHire.com
4.4 LPA
Lakshmi Menonon

Lakshmi Menonon

4.4 LPANetwork Administrator

Capgemini
9 LPA
Jagan Roy

Jagan Roy

9 LPAAI Engineer

goibibo
12 LPA
Sharmila

Sharmila

12 LPAData Engineer

TCS
16 LPA
Rahul Rai

Rahul Rai

16 LPAData Engineer

atlys
5.1 LPA
Pawan Singh

Pawan Singh

5.1 LPARPA Developer

Infosys
7.83 LPA
Narayan

Narayan

7.83 LPARPA Business Analyst

Capgemini
5.55 LPA
Sima

Sima

5.55 LPAData Scientist

TATA
40 LPA
Joseph

Joseph

40 LPAAWS Devops Engineer

Amazon
25 LPA
Sameer

Sameer

25 LPASalesforce Developer

Salesforce
30 LPA
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Savitha Iyer

30 LPAProject Administrator

Amazon
20 LPA
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Jayanthi

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Sangeetha

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Rubrik
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Kishore

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8.5 LPAPerformance Marketer

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zensar technologies
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8 LPAPerformance Marketer

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Vanaya

4.3 LPAAI Engineer

zensar technologies
7.5 LPA
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Jyoti

7.5 LPAData Engineer

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Kaushik

4.5 LPASalesforce Developer

Tech Mahindra
8.45 LPA
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Rohini

8.45 LPAComputer Vision Engineer

nvidia
5 LPA
Shravya

Shravya

5 LPASAP FICO Analyst

accenture
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Sandhya

Sandhya

5.8 LPASAP FICO Analyst

Sonata Software
4.2 LPA
Abhiram

Abhiram

4.2 LPAServicenow Developer

Prodapt
4.8 LPA
Krishna

Krishna

4.8 LPATOSCA Automation Engineer

Hexaware
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Aqib

Aqib

8 LPAData Engineer

Tiger Analytics
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Rohan

Rohan

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Cognizant
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Muskan

Muskan

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Fractal
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Ritika

Ritika

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QualityAI
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Aliya

Aliya

5.7 LPAML Engineer

Mu Sigma
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Amith

Amith

6 LPADevops Engineer

Meesho
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Asha

7.15 LPADevSecOps Engineer

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Anamika

6.3 LPAAI Engineer

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Sai Krishna

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First Source
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Prachi

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ABC Consultants
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Rafiya

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Tredence
10 LPA
Rudra Lakshmi

Rudra Lakshmi

10 LPABrand Marketing Specialist

gojek
8.2 LPA
Andro

Andro

8.2 LPAAI Engineer

Fractal

Placement Assistance for Data Engineering With AI Course

Learning the tools is only half the target. The other half is showing recruiters that you can build pipelines, explain design choices, and work through the kind of problems data teams actually face in interviews and projects. Inventateq keeps the course tied to that outcome with resume support, interview practice, and project review built around the roles this syllabus prepares you for.

The support is layered through the course, not pushed to the end. As learners complete Python, SQL, Spark, Airflow, dbt, and capstone work, they get help shaping that work into interview stories, GitHub-ready projects, and role-specific resumes.

Our Signature Career Support:

  • Resume structuring for Data Engineer, ETL Developer, and Analytics Engineer roles
  • GitHub portfolio guidance using Python, SQL, Spark, and Databricks projects
  • Mock interviews on joins, window functions, Spark architecture, Airflow, and cloud concepts
  • Project review sessions that turn coursework into interview-ready talking points
  • Placement assistance focused on data engineering roles, not generic IT openings

Data Engineering With AI Salary Insights

Data engineering hiring spans product companies, analytics teams, fintech, e-commerce, SaaS, and cloud-driven enterprises. Pay grows with depth in SQL, Spark, cloud platforms, orchestration, and production-style pipeline work.

Average Salary by Experience

Why Students Choose Our Data Engineering With AI Course Online?

4.7/5 Google Rating | 1,432+ Verified Reviews

4.7 / 5

By Google Reviews

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4.7 / 5

By Justdial

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4.7 / 5

By Sulekha Courses

4.7 / 5

By Course Suggest

Success Result: Our students are competing at global levels. Watch their placement journey here.

Bigdata Hadoop Placement Success Stories

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Genuine Reviews @ Inventateq - 25 LPA - 50LPA

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Data Engineering @ Accenture - 12 LPA

Student Honest Reviews for Tally Course

Junior Accountant @ Fortis - 8 LPA

What Students Say About Our SQL Course

SQL Developer @ Wipro - 10 LPA

Genuine Student Feedback on Our SalesForce Course

Salesforce Administrator @ Deloitte - 15 LPA

How Our RPA Course Helped Students Build Their Careers

RPA Developer @ IBM - 20 LPA

Learning to Getting Hired – Tableau Student Reviews

Tableau Developer @ Genpact - 20 LPA

Real Student Reviews for HR Course

Talent Acquisition Executive @ Tech Mahindra - 12 LPA

Authentic Student Experiences on our Anjular Js Course

Angular Developer @ Capgemini - 15 LPA

Honest Student Reviews for Data Science Course

Data Analyst @ Amazon - 25 LPA

What Students Say About the Java Course

Java Developer @ Oracle - 25 LPA

Student Video Review for CATIA Course

CATIA Design Engineer @ TATA Motors - 20 LPA

Authentic Student Reviews for AWS Course

AWS Solutions Architect @ Accenture - 25 LPA

Honest Opinions from Python Course Students

Python Developer @ Mphasis - 15 LPA

Real Student Reviews for Software Testing

QA Engineer @ HCLTech - 15 LPA

Devops Course Reviews & Placement Experiences

Cloud DevOps Engineer @ LTIMindtree - 18 LPA

Digital Marketing Course Success Stories | Student Reviews

Digital Marketer @ Google - 20 LPA

Inventateq Classroom Tour

BTM Layout @ Inventateq - -

Students Who Took the First Step

Genuine Reviews @ Inventateq - 25 LPA - 50LPA

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REVIEWS

4.7/5 · 1,432+ Verified Reviews

About Inventateq

Inventateq has built a reputation for practical IT training that stays close to what learners need for interviews and real project work. For Data Engineering With AI Course Online, that means a structured online format, guided practice, and a teaching style that does not stop at theory.

We stand apart through our commitment to:

  • Years of training experience across job-oriented technology courses
  • A consistent learning process that combines concept work with practical labs
  • Course delivery shaped around project work, not only slide-based teaching
  • Learners from different backgrounds trust the institute for career-oriented training
  • Support systems are built into the course flow, including practice, review, and interview prep
 classes
Live Online
Remote Learning

Inventateq Online Live Classes

Online batches are live and structured, so learners can follow the same course flow from anywhere without losing the hands-on side of the training. Sessions work well for professionals and freshers who need flexibility but still want real-time guidance, code walkthroughs, and project support.

100% Live Instructor-Led Online Classes
Dedicated Doubt-Solving Sessions with Mentors
Study Guides, PPTs, and Exam Guidance Included
Class Recordings and Backup Sessions for Missed Classes
Flexible Weekday and Weekend Batch Timings
Career Guidance and Interview Preparation Support

Details of Data Engineering With AI Course Online

Freshers

Good for learners who want a clear entry into data engineering with guided Python, SQL, and pipeline practice.

Non-IT learners

Works for career changers who are ready to build technical fundamentals from the basics.

Working professionals

Useful for software, support, analytics, and reporting professionals who want to move into data engineering.

SQL learners

Fits people who already know basic SQL and want to move into advanced querying and pipeline design.

Cloud-curious learners

Helps anyone who wants to understand Databricks, Delta Lake, and cloud data platforms.

Project-focused students

Best for learners who prefer practice, labs, and portfolio work over theory-only training.

Quick Highlights of Data Engineering With AI Course

A focused 2-month plan built for steady weekly progress.

  • Duration: Recommended training time is 2 months.

  • Format: Runs as live online training with practical sessions.

  • Learning split: 30% concepts and 70% hands-on practice.

  • Pacing: Covers beginner to advanced topics in a structured flow.

Data Engineering With AI Course Curriculum

1. Module 1: Data Engineering Fundamentals (Week 1)

W1
  • What data engineering does and how it differs from data analysis and data science
  • Data engineering lifecycle, OLTP vs OLAP, batch vs real-time processing
  • ETL vs ELT, data warehouse vs data lake, and lakehouse architecture
  • Practical pipeline design using Python, PostgreSQL, cloud storage, and Databricks
  • Retail data platform project with source, ingestion, transformation, storage, and analytics flow

2. Module 2: Python for Data Engineering (Week 1)

W1
  • Python fundamentals, data types, collections, functions, and exception handling
  • File handling, modules, packages, virtual environments, and object-oriented basics
  • Working with APIs, JSON, CSV, and reusable scripts for automation
  • Practical tasks for reading, cleaning, and writing structured data
  • API-to-database pipeline project using Python, cleaning logic, and PostgreSQL

3. Module 3: Advanced SQL & Database Engineering (Week 2)

W2
  • SELECT, WHERE, GROUP BY, HAVING, joins, subqueries, and CTEs
  • Window functions, ranking functions, aggregates, date/time functions, and CASE statements
  • Views, stored procedures, indexes, query optimization, and transaction basics
  • Database normalization and denormalization for analytics-ready design
  • E-commerce analytics database project with customer, order, payment, and sales tables

4. Module 4: Data Warehousing & Data Modeling (Week 2)

W2
  • Data warehouse architecture, data marts, fact tables, and dimension tables
  • Star schema, snowflake schema, surrogate keys, and business keys
  • Slowly changing dimensions and incremental loading patterns
  • Converting transactional data into analytical models with practical design work
  • Sales data warehouse project from source database to staging, dimensions, fact tables, and analytics

5. Module 5: ETL / ELT & Data Pipeline Development (Week 3)

W3
  • ETL and ELT architecture, extraction, ingestion, transformation, and loading
  • Full load, incremental load, change data capture concepts, and schema evolution
  • Error handling, retry mechanisms, pipeline logging, and validation steps
  • Pipeline build using API, Python, database, SQL, dbt, and cloud storage
  • Customer data integration pipeline that combines CRM data, transaction data, APIs, and CSV files

6. Module 6: Big Data & Apache Spark (Week 4)

W4
  • Big data fundamentals and Hadoop ecosystem overview
  • Spark architecture, driver and executor roles, jobs, stages, and tasks
  • DataFrames, Spark SQL, PySpark transformations and actions, and lazy evaluation
  • Partitioning, shuffling, caching, broadcast joins, and performance tuning
  • Large-scale e-commerce data processing project using PySpark

7. Module 7: Databricks, Delta Lake & Lakehouse (Week 5)

W5
  • Databricks platform, lakehouse architecture, and Delta Lake basics
  • Delta tables, ACID transactions, schema enforcement, schema evolution, and time travel
  • MERGE operations, incremental processing, and medallion architecture
  • Bronze, Silver, and Gold layers built with notebooks, jobs, and workflows
  • End-to-end Databricks lakehouse project with raw ingestion, cleaning, and analytics tables

8. Module 8: Apache Airflow & Workflow Orchestration (Week 6)

W6
  • Airflow architecture, DAGs, tasks, operators, and scheduling logic
  • Sensors, Variables, Connections, XCom, retries, alerts, and monitoring
  • Building dependency-based workflows with validation and notification steps
  • Practical DAG design for extract, transform, validate, load, and notify flows
  • Automated data warehouse pipeline project with daily jobs and failure handling

9. Module 9: dbt & Modern Data Transformation (Week 6)

W6
  • dbt models, sources, seeds, tests, macros, and Jinja templating
  • Incremental models, snapshots, documentation, lineage, and dependencies
  • Transformation workflow design for ELT-based analytics pipelines
  • Staging and business-model creation with testing and documentation
  • Modern analytics engineering pipeline from raw warehouse tables to dbt models

10. Module 10: Cloud Data Engineering (Week 7)

W7
  • AWS, Azure, and GCP overview with storage, compute, IAM, and networking basics
  • Cloud security, cloud databases, data lakes, and cloud data warehouses
  • Cloud ETL architecture and object storage-based pipeline design
  • Pipeline build using cloud storage, Spark, lake, and warehouse layers
  • Cloud-based data lake project with curated datasets and analytics tables

11. Module 11: Real-Time Data Engineering & Streaming (Week 7)

W7
  • Batch vs streaming, real-time architecture, and event-driven design
  • Kafka fundamentals, producers, consumers, partitions, offsets, and consumer groups
  • Spark Structured Streaming, checkpoints, and windowing concepts
  • Practical pipeline from producer to Kafka to Spark Streaming to Delta Lake
  • Real-time transaction monitoring project for near real-time processing

12. Module 12: Data Quality, Governance & Security (Week 7)

W7
  • Data quality fundamentals, null checks, duplicate detection, and schema validation
  • Referential integrity, metadata, lineage, and governance basics
  • Access control, privacy, encryption concepts, and audit logging
  • Automated data-quality checks for missing records, invalid values, and failed loads
  • Production data quality framework project with validation rules

13. Module 13: AI-Assisted Data Engineering (Week 7)

W7
  • Generative AI fundamentals for data engineers and responsible usage principles
  • AI coding assistants for Python, SQL, PySpark, and debugging support
  • Prompt engineering for code generation, documentation, and analysis help
  • Using AI to create tests, explain errors, and draft workflow templates
  • AI-assisted data engineering copilot project from requirement to validated pipeline

14. Module 14: Production Data Engineering & DevOps (Week 8)

W8
  • Git and GitHub workflows, branching, pull requests, and code reviews
  • Docker fundamentals, CI/CD concepts, environment management, and testing
  • Logging, monitoring, alerts, cost awareness, and deployment concepts
  • Production-ready pipeline practice with version control and documentation
  • Capstone-ready workflow focused on reliable and maintainable delivery

15. Capstone Project & Interview Preparation (Week 8)

W8
  • End-to-end enterprise platform that combines APIs, CSV, databases, lakehouse layers, dbt, and warehousing
  • Architecture diagram, source-to-target mapping, data model, code, notebooks, DAGs, and tests
  • Resume preparation, GitHub portfolio shaping, and ATS-friendly project descriptions
  • Technical mock interviews across Python, SQL, Spark, Airflow, cloud, and Databricks
  • HR interview preparation and role-based question practice for data engineering jobs

Student Reviews – Data Engineering With AI Course

4.7 Star Rating from 1,432+ Google Reviews

Vibhu Rajesh

Vibhu Rajesh

3.3 LPA • Soft India

The learning experience at Inventateq is unparalleled. The trainers are not just knowledgeable but also passionate about teaching. They make complex topics easy to understand. I am extremely satisfied with the quality of education I received here.

Lakshmi Iyer

Lakshmi Iyer

30 LPA • Google India

Inventateq is a beacon of hope for aspiring professionals. Their practical approach to learning and emphasis on skill development make them stand out. The mentors provide individualized attention, nurturing each student's strengths. I owe my success to their guidance.

Mohammed Basha

Mohammed Basha

14.8 LPA • Lenovo

I cannot speak highly enough of Inventateq. Their commitment to student success is evident in every aspect of their training program. The hands-on projects and real-world simulations prepare students for the challenges of the industry. Truly a transformative experience!

Meera Nair

Meera Nair

10 LPA • Tech Mahindra

Inventateq is the epitome of excellence in industry-aligned training. The personalized attention from mentors sets them apart. The placement support provided by them is top-notch. I'm grateful for their unwavering support throughout my journey.

Shaik Shaheed

Shaik Shaheed

6.5 LPA • Aptus Data Labs

Inventateq gave me practical training and interview prep that helped me land my dream role. Mentors were always available to clear doubts and guide me through every step of the placement process.

Nikita Jain

Nikita Jain

15 LPA • Accenture

The placement support team connected me with top brands. Resume sessions and mock interviews made a huge difference in my confidence during campus drives and off-campus interviews.

Manikanta Saladi

Manikanta Saladi

40 LPA • AWS

Industry-focused curriculum and real-time projects prepared me for cloud roles. I highly recommend Inventateq to every aspiring developer looking for serious career growth.

Priya Sharma

Priya Sharma

18 LPA • Microsoft

Personalised courses and dedicated mentors helped me switch careers successfully. The learning environment is supportive, professional, and focused on real outcomes.

Sandhya Bm

Sandhya Bm

— • Inventateq

I had a very good learning experience with Inventateq. The SAP FICO training was well-structured and covered both theoretical concepts and practical scenarios. The trainers were knowledgeable, supportive, and always ready to clarify doubts. The hands-on exercises and real-time examples helped me understand SAP FICO processes better. The course has improved my confidence in working with SAP and preparing for SAP-related job opportunities. I would recommend Inventateq to anyone looking to build their career in SAP FICO.

Gokul A

Gokul A

— • Inventateq

I enrolled in the Salesforce Admin course at Inventateq. The institute provides quality technical training with experienced trainers and useful learning materials. The sessions are practical-oriented, and trainers clarify doubts clearly, which helped me understand the concepts better. Overall, I am satisfied with the course and the learning environment. One area where the institute can improve is by including more soft skills training, communication development, and interview preparation sessions. Adding these would help students become more confident and industry-ready for placements and real-world opportunities.

Shaik Misrath

Shaik Misrath

— • Inventateq

I had an excellent learning experience with Inventateq Training Institute. The support and teaching quality were outstanding. Nikitha was extremely helpful in managing demos, classes, and addressing all queries in a timely and professional manner. Bharannidharan Sir provided in-depth knowledge of Cloud Security with clear explanations and real-world insights. His guidance and support made learning both effective and enjoyable. I highly recommend Inventateq to anyone looking to build a strong career in cloud and cybersecurity.

Maheswaran M

Maheswaran M

— • Inventateq

It’s a great place to learn big data Hadoop and trainer is more supportive once after completing the course but our efforts are also more important to get the job and train better. Thank you inventateq for your support and guidance.

Manaswini Kolupula

Manaswini Kolupula

— • Inventateq

Inventateq Institute Bangalore offers quality technical training with experienced trainers and helpful learning materials. The classes are practical-oriented and doubts are clarified properly. Overall, I am satisfied with the course training. However, adding soft skills, communication skills, and interview preparation sessions would greatly enhance the overall learning experience and make students more industry-ready.

MUKTHA C V

MUKTHA C V

— • Inventateq

I completed the Data Science course at Inventateq Institute. The training covered Python, Statistics, and Machine Learning libraries like NumPy, Pandas, and Scikit-learn with practical examples. Overall, it was a good learning experience and I sincerely thank the trainers for their support and guidance.

srikruthi n

srikruthi n

— • Inventateq

Excellent way of teaching with examples. Easy to understand. Crisp and clear. Highly knowledgeable and experienced sir. Practiced calculations alot. Highly recommend payroll online class . Teched very patiently. Thank you so much for everything sir.

Thejaswini Asundi

Thejaswini Asundi

— • Inventateq

I completed the Data Science course at Inventateq. The training was practical and easy to understand. Trainer was supportive, and the course helped me improve my skills. Good place to learn Data Science.

Heemanshu Mahadeva

Heemanshu Mahadeva

— • Inventateq

I enrolled for Salesforce Admin course here. From the day one support was genuine and honest.They listen to your concern and fedback regarding the course. My sincere thanks to Nikitha and Tutor Jai Yadav.

Bindhiya gowda

Bindhiya gowda

— • Inventateq

I completed a Data Science course at Inventateq, and it was an incredibly valuable experience. The training was comprehensive, covering essential topics like Python, Machine Learning algorithms, Data Visualization, and real-world project implementation. The instructors were knowledgeable and always ready to clarify doubts with practical examples. The hands-on approach, combined with real-time case studies and assignments, helped me strengthen my understanding and build confidence in applying concepts to real data. It gave me a great boost as I transitioned into applying for data science roles. I highly recommend Inventateq to anyone looking to begin or transition into the field of Data Science.

sanhita dawn

sanhita dawn

— • Inventateq

I joined Inventateq for the Digital Marketing course, and it was a very good experience. Arif sir was extremely helpful and supportive. He explained everything clearly and with great care. His teaching style made the concepts easy to understand. Overall, I’m very satisfied with the training and truly appreciate his guidance.

uma bn

uma bn

— • Inventateq

I joined the HR course, and the teaching is good. It has helped me a lot, and the coordinators are very supportive.

Dhanush D

Dhanush D

— • Inventateq

I completed my Salesforce Admin and developer course at Inventateq training institute, Btm Layout. The trainer was very friendly and teaching very clearly and understand the topics and most of the topics has explained with real time examples and individual guidance makes learning very easy and effective, also trainer was very clearly guide me about interview preparations. I had an amazing experience and also give the good placement support. Thank u Inventateq

Asim Ali

Asim Ali

— • Inventateq

I have done AWS DevOps course in inventateq institute located in btm layout bangalore, the trainer’s deep expertise and practical exercises made complex topics easy to grasp. I now working in a IT Company as a Cloud Engineer with a good salary.

Ganesh K S

Ganesh K S

— • Inventateq

Inventateq provides the Aspirant an In depth knowledge of SAP MM and makes them proficient in using the software. Course training will make learner expertise in the software and provides the chances of grabbing good job opportunities in this domain.

aditya singh

aditya singh

— • Inventateq

I had a great learning experience at this institute. The faculty was knowledgeable and supportive, and the curriculum was well-structured, covering all the important concepts in depth. A good place to learn skills like Data Science and other tech courses.

Vibhu Rajesh

Vibhu Rajesh

3.3 LPA • Soft India

The learning experience at Inventateq is unparalleled. The trainers are not just knowledgeable but also passionate about teaching. They make complex topics easy to understand. I am extremely satisfied with the quality of education I received here.

Lakshmi Iyer

Lakshmi Iyer

30 LPA • Google India

Inventateq is a beacon of hope for aspiring professionals. Their practical approach to learning and emphasis on skill development make them stand out. The mentors provide individualized attention, nurturing each student's strengths. I owe my success to their guidance.

Mohammed Basha

Mohammed Basha

14.8 LPA • Lenovo

I cannot speak highly enough of Inventateq. Their commitment to student success is evident in every aspect of their training program. The hands-on projects and real-world simulations prepare students for the challenges of the industry. Truly a transformative experience!

Meera Nair

Meera Nair

10 LPA • Tech Mahindra

Inventateq is the epitome of excellence in industry-aligned training. The personalized attention from mentors sets them apart. The placement support provided by them is top-notch. I'm grateful for their unwavering support throughout my journey.

Shaik Shaheed

Shaik Shaheed

6.5 LPA • Aptus Data Labs

Inventateq gave me practical training and interview prep that helped me land my dream role. Mentors were always available to clear doubts and guide me through every step of the placement process.

Nikita Jain

Nikita Jain

15 LPA • Accenture

The placement support team connected me with top brands. Resume sessions and mock interviews made a huge difference in my confidence during campus drives and off-campus interviews.

Manikanta Saladi

Manikanta Saladi

40 LPA • AWS

Industry-focused curriculum and real-time projects prepared me for cloud roles. I highly recommend Inventateq to every aspiring developer looking for serious career growth.

Priya Sharma

Priya Sharma

18 LPA • Microsoft

Personalised courses and dedicated mentors helped me switch careers successfully. The learning environment is supportive, professional, and focused on real outcomes.

Sandhya Bm

Sandhya Bm

— • Inventateq

I had a very good learning experience with Inventateq. The SAP FICO training was well-structured and covered both theoretical concepts and practical scenarios. The trainers were knowledgeable, supportive, and always ready to clarify doubts. The hands-on exercises and real-time examples helped me understand SAP FICO processes better. The course has improved my confidence in working with SAP and preparing for SAP-related job opportunities. I would recommend Inventateq to anyone looking to build their career in SAP FICO.

Gokul A

Gokul A

— • Inventateq

I enrolled in the Salesforce Admin course at Inventateq. The institute provides quality technical training with experienced trainers and useful learning materials. The sessions are practical-oriented, and trainers clarify doubts clearly, which helped me understand the concepts better. Overall, I am satisfied with the course and the learning environment. One area where the institute can improve is by including more soft skills training, communication development, and interview preparation sessions. Adding these would help students become more confident and industry-ready for placements and real-world opportunities.

Shaik Misrath

Shaik Misrath

— • Inventateq

I had an excellent learning experience with Inventateq Training Institute. The support and teaching quality were outstanding. Nikitha was extremely helpful in managing demos, classes, and addressing all queries in a timely and professional manner. Bharannidharan Sir provided in-depth knowledge of Cloud Security with clear explanations and real-world insights. His guidance and support made learning both effective and enjoyable. I highly recommend Inventateq to anyone looking to build a strong career in cloud and cybersecurity.

Maheswaran M

Maheswaran M

— • Inventateq

It’s a great place to learn big data Hadoop and trainer is more supportive once after completing the course but our efforts are also more important to get the job and train better. Thank you inventateq for your support and guidance.

Manaswini Kolupula

Manaswini Kolupula

— • Inventateq

Inventateq Institute Bangalore offers quality technical training with experienced trainers and helpful learning materials. The classes are practical-oriented and doubts are clarified properly. Overall, I am satisfied with the course training. However, adding soft skills, communication skills, and interview preparation sessions would greatly enhance the overall learning experience and make students more industry-ready.

MUKTHA C V

MUKTHA C V

— • Inventateq

I completed the Data Science course at Inventateq Institute. The training covered Python, Statistics, and Machine Learning libraries like NumPy, Pandas, and Scikit-learn with practical examples. Overall, it was a good learning experience and I sincerely thank the trainers for their support and guidance.

srikruthi n

srikruthi n

— • Inventateq

Excellent way of teaching with examples. Easy to understand. Crisp and clear. Highly knowledgeable and experienced sir. Practiced calculations alot. Highly recommend payroll online class . Teched very patiently. Thank you so much for everything sir.

Thejaswini Asundi

Thejaswini Asundi

— • Inventateq

I completed the Data Science course at Inventateq. The training was practical and easy to understand. Trainer was supportive, and the course helped me improve my skills. Good place to learn Data Science.

Heemanshu Mahadeva

Heemanshu Mahadeva

— • Inventateq

I enrolled for Salesforce Admin course here. From the day one support was genuine and honest.They listen to your concern and fedback regarding the course. My sincere thanks to Nikitha and Tutor Jai Yadav.

Bindhiya gowda

Bindhiya gowda

— • Inventateq

I completed a Data Science course at Inventateq, and it was an incredibly valuable experience. The training was comprehensive, covering essential topics like Python, Machine Learning algorithms, Data Visualization, and real-world project implementation. The instructors were knowledgeable and always ready to clarify doubts with practical examples. The hands-on approach, combined with real-time case studies and assignments, helped me strengthen my understanding and build confidence in applying concepts to real data. It gave me a great boost as I transitioned into applying for data science roles. I highly recommend Inventateq to anyone looking to begin or transition into the field of Data Science.

sanhita dawn

sanhita dawn

— • Inventateq

I joined Inventateq for the Digital Marketing course, and it was a very good experience. Arif sir was extremely helpful and supportive. He explained everything clearly and with great care. His teaching style made the concepts easy to understand. Overall, I’m very satisfied with the training and truly appreciate his guidance.

uma bn

uma bn

— • Inventateq

I joined the HR course, and the teaching is good. It has helped me a lot, and the coordinators are very supportive.

Dhanush D

Dhanush D

— • Inventateq

I completed my Salesforce Admin and developer course at Inventateq training institute, Btm Layout. The trainer was very friendly and teaching very clearly and understand the topics and most of the topics has explained with real time examples and individual guidance makes learning very easy and effective, also trainer was very clearly guide me about interview preparations. I had an amazing experience and also give the good placement support. Thank u Inventateq

Asim Ali

Asim Ali

— • Inventateq

I have done AWS DevOps course in inventateq institute located in btm layout bangalore, the trainer’s deep expertise and practical exercises made complex topics easy to grasp. I now working in a IT Company as a Cloud Engineer with a good salary.

Ganesh K S

Ganesh K S

— • Inventateq

Inventateq provides the Aspirant an In depth knowledge of SAP MM and makes them proficient in using the software. Course training will make learner expertise in the software and provides the chances of grabbing good job opportunities in this domain.

aditya singh

aditya singh

— • Inventateq

I had a great learning experience at this institute. The faculty was knowledgeable and supportive, and the curriculum was well-structured, covering all the important concepts in depth. A good place to learn skills like Data Science and other tech courses.

Rated 4.9/5 by AI Students

Why Learn Data Engineering With AI Course Today?

Modern data teams need people who can handle pipelines, quality, cloud platforms, streaming, and faster development cycles with AI support. That is why Data Engineering With AI Course skills now sit at the center of analytics, product, and platform teams.

Why Students Start Learning Data Engineering With AI Course

  • The role is broader than reporting and moves closer to how businesses actually store and move data.
  • Companies want people who can work with Python, SQL, Spark, cloud storage, and orchestration together.
  • Databricks, Delta Lake, Airflow, and dbt show up repeatedly in current data platform stacks.
  • AI tools are now part of development workflows, so learners need to know how to use them with checks and validation.
  • Inventateq teaches the subject through practical labs, projects, and interview-ready tasks, which fits how this role is hired.

Build Real Data Engineering Skills That Open Job Roles

After this course, learners do not just recognize terms. They can build pipelines, explain architecture, and show completed work that a recruiter can inspect.

Turn raw data into analytics-ready tables

You learn how to move data from APIs, files, and databases into cleaned datasets, warehouse tables, and reporting layers. That makes the work easy to show in interviews because the outcome is visible.

Write SQL that supports real analysis

You practice joins, CTEs, window functions, query optimization, and transformation logic. Those skills are central for pipeline work and for any role that touches business data.

Build Python scripts for extraction and automation

You can write code that reads files, calls APIs, processes JSON and CSV, and pushes data into databases. That helps you move beyond classroom examples into production-style tasks.

Handle Spark and large datasets with confidence

You work with DataFrames, Spark SQL, PySpark, partitioning, and performance concepts. That gives you the ability to explain how distributed processing works and where it is used.

Orchestrate workflows with Airflow and dbt

You learn how to schedule, monitor, test, and document data pipelines. This is where many students move from isolated scripts to maintainable pipeline work.

Use AI tools without losing control of the code

You practice AI-assisted SQL, Python, debugging, documentation, and test generation. The important part is learning how to validate outputs so the code remains reliable.

Detailed Insights :: Data Engineering With AI Course Training Online

Students Most Asked Questions

Is this course suitable for beginners?

Yes, the course starts from the fundamentals and builds toward advanced topics. Basic programming helps, but it is not mandatory because Python and SQL fundamentals are included in the early part of the program. Learners who stay consistent can follow the full structure without prior data engineering experience.

Will I get hands-on projects in this training?

Yes, the course is built around labs and real project work. You will work on pipelines, data modeling tasks, Spark processing, Databricks lakehouse builds, Airflow orchestration, dbt transformations, and a capstone project. Those projects are used later for resume and interview preparation.

Does Inventateq provide placement assistance for Data Engineering With AI Course learners?

Placement assistance is part of the course structure. Learners get help with resume building, GitHub portfolio presentation, mock interviews, and project-based interview preparation. The support is aimed at job roles linked to the actual syllabus, not generic placement claims.

Can non-IT students join this course?

Yes, non-IT learners can join if they are ready to learn Python, SQL, and data workflow basics from the ground up. The early modules are designed to help build that foundation before moving into Spark, cloud, and orchestration topics. Consistency matters more than an IT background here.

Is the course available online?

Yes, the course is available as live online training. That format lets learners attend from anywhere while still getting mentor guidance, code demonstrations, and practical exercises. It works well for students who want flexibility without losing structure.

How long does the course take to complete?

The recommended duration is 2 months. The weekly plan is organized to move from fundamentals to production-style projects in a steady sequence. Learners who keep up with practice can complete the full stack without the course feeling rushed.

What is the main course-specific skill stack covered here?

The core stack includes Python, SQL, ETL and ELT, data warehousing, PySpark, Databricks, Delta Lake, Airflow, dbt, cloud data engineering, streaming, data quality, Git, and AI-assisted development. This mix matters because it mirrors how modern data platforms are built and maintained. That is what gives the course its job-oriented value.

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