What will I learn in an AI Data Engineering Course?

You can learn data engineering fundamentals, data pipelines, ETL and ELT processes, databases, data processing, data integration, cloud data platforms, data warehousing, and techniques for preparing data for AI and analytics.

Why is Data Engineering important for AI?

AI systems depend on high-quality, accessible, and properly processed data. Data engineering helps build pipelines and systems that prepare and deliver the data required for analytics and machine learning.

What is the career scope after AI Data Engineering training?

AI Data Engineering combines data infrastructure with AI and analytics requirements. These skills can support roles involving data pipelines, data platforms, cloud data systems, Big Data processing, analytics engineering, and AI data infrastructure.

How is AI Data Engineering different from Data Science?

Data Engineering focuses primarily on building and maintaining data infrastructure and pipelines, while Data Science focuses on analyzing data, developing statistical or machine learning models, and generating insights. The two roles work closely together.

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AI Data Engineering Course

Rated 5 out of 5

Infibee Technologies offers India’s No.1 AI Data Engineering Training with global certification and Real-Time Projects.

Unlock your career with an AI Data Engineering Course is guided by 10+ years of industry-experienced experts with affordable fees, mock projects, resume preparation, interview preparation, and lifetime access to recorded live-class sessions.

Join our AI Data Engineering Training Institute and build practical expertise in data engineering to pursue rewarding career opportunities with leading companies.

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AI Data Engineering Course Overview

Infibee Technologies offers an industry-focused AI Data Engineering Course designed to take learners from beginner to advanced levels. Our AI Data Engineering Training covers Data Pipelines, Data Processing, Cloud Technologies, Databases, Big Data, Machine Learning Data Workflows, and AI-Ready Data Infrastructure.

AI Data Engineering combines data engineering with artificial intelligence to build reliable pipelines with the processing of huge datasets and preparing quality data for analytics, automation, machine learning and smart applications.

Purpose of AI Data Engineering Course

The purpose of AI Data Engineering Course enable students and professionals to acquire hands-on experience with data pipelines, databases, cloud platforms, and AI-ready infrastructure while preparing them for growing data engineering opportunities.

Importance, Industries & Future Scope

AI Data Engineering is an essential for companies requiring reliable, scalable and high-quality data for their artificial intelligence and analytics. Data engineering enables data management in finance, analytics, IT, retail, manufacturing, telecommunications, banking, logistics, e-commerce, healthcare, and other sectors.

This course develops knowledge of modern data platforms, cloud environments, data pipelines, automation, and AI data workflows. Its future scope includes machine learning infrastructure, real-time data processing, cloud data engineering, generative AI, data platforms, and intelligent automation, creating opportunities for professionals with advanced data engineering skills.

AI Data Engineering Course Topics Covered	Applications of AI Data Engineering Course	Tools & Technologies Used
Data Engineering Fundamentals	AI Data Preparation	Python
Data Pipeline Development	Machine Learning Pipelines	SQL
ETL & ELT Processes	Predictive Analytics	Apache Spark
Data Warehousing	Real-Time Analytics	Apache Kafka
Data Lakes	Big Data Processing	Apache Hadoop
Database Management	AI Applications	Databricks
Data Integration	Business Intelligence	Snowflake
Cloud Data Engineering	Generative AI Data Workflows	AWS
Data Quality & Governance	Automated Data Processing	Microsoft Azure
Real-Time Data Processing	Intelligent Automation	Google Cloud

Why Choose Infibee Technologies for an AI Data Engineering Course?

Infibee Technologies focuses on practical and industry-oriented learning to help students and professionals develop job-relevant AI Data Engineering skills.

Key Highlights

10+ Years of Industry Experience
Practical Training
Real-Time Project Exposure
AI-Focused Learning
Cloud & Big Data Exposure
Interview Preparation
Resume Preparation
Placement Training
Affordable Fees
Lifetime Recorded Sessions

Best AI Data Engineering Training Institute – Get Certified with Infibee Technologies

Infibee Technologies is a leading AI Data Engineering Training Institute, offering industry-focused training based on real-time programming, Data Pipeline, Cloud Platforms, Database, Big Data processing, and real-world applications. This course is designed to help learners understand how modern data infrastructure supports analytics, machine learning & artificial intelligence.

This AI Data Engineering Course is a balanced blend of instructor led concepts and hands on exercises, demos, assignments, mock projects, interview preparation, resume guidance, career support. Learners can understand how to build data pipelines as well as acquire skills to work in a modern AI & data driven environments.

Trainer Experience

Learn from trainers with 10+ years of industry experience, and leverage their expertise on real-life projects in data engineering, cloud platform, Big Data, Data bases, data pipelines, AI workflows and real-world technology implementation.

Real-Time Project Exposure

Learners receive Hands-on Project Exposure through mock and real-world-projects that help understand ETL workflows, data pipelines, cloud, data processing, database, and AI-ready data infrastructure.

Affordable Course Fees

Infibee Technologies provides affordable and flexible course fee options, making AI Data Engineering Training accessible to students, freshers, working professionals, and career-transition candidates seeking practical technology skills.

Teaching Methodology

The teaching methodology combines of instructor led concepts and hands on exercises, demos, hands-on exercises, assignments, projects, doubt clarification, interview preparation, resume guidance, and recorded sessions for structured and continuous practical learning.

Infibee Technologies focuses on developing practical, industry-oriented skills through structured training and project exposure. Our institute has successfully placed 500+ students in leading MNCs and top software companies.

This course is suitable for learners planning to work in the fields of data engineering, artificial intelligence, Big Data, cloud computing, analytics and machine learning infrastructure. Students can progressively develop skills from foundational concepts to advanced data engineering practices.

Certification Providing

Infibee Technologies provides course completion certification and certification guidance, helping learners understand relevant global credentials across data engineering, cloud computing, AI, analytics, and modern data platforms.

Modes of Training at Infibee Technologies

Classroom Training
Online Training
Corporate Training
Weekend Training
Self-Paced Training

Global Certifications Available for AI Data Engineering Training

S.No.	Certification Code	Certification	Approx. Cost in INR*	Certification Expiry
1	DP-203	Microsoft Azure Data Engineer Associate	Approx. ₹13,700	1 year
2	AWS DEA-C01	AWS Certified Data Engineer – Associate	Approx. ₹10,500	3 years
3	GCP PDE	Google Cloud Professional Data Engineer	Approx. ₹20,000	2 years
4	Databricks Data Engineer Associate	Databricks Certified Data Engineer Associate	Approx. ₹16,500	Check current policy
5	Databricks Data Engineer Professional	Databricks Certified Data Engineer Professional	Approx. ₹16,500	Check current policy

Who Can Join AI Data Engineering Training?

Students and graduates
Freshers
Software developers
IT professionals
Data analysts
Business analysts
Machine learning enthusiasts
AI professionals
Working professionals
Career-transition candidates
Anyone interested in data engineering and AI technologies

Career Opportunities in AI Data Engineering

S.No.	AI Data Engineering Career Role	Key Responsibilities
1	AI Data Engineer	Build data infrastructure for AI applications
2	Data Engineer	Develop and maintain scalable data pipelines
3	Machine Learning Data Engineer	Prepare data for ML workflows
4	Big Data Engineer	Process and manage large-scale datasets
5	Cloud Data Engineer	Develop cloud-based data solutions
6	Data Pipeline Engineer	Design and maintain ETL/ELT pipelines
7	Data Platform Engineer	Build and manage enterprise data platforms
8	Data Architect	Design scalable data architectures
9	Analytics Engineer	Prepare data for business analytics
10	AI Infrastructure Engineer	Support infrastructure for AI workloads
11	Data Integration Engineer	Integrate data from multiple sources
12	Big Data Developer	Develop applications for large-scale data processing

Who’s Hiring Advanced AI Data Engineering Professionals?

Amazon
Microsoft
Google
IBM
Accenture
Deloitte
Tata Consultancy Services (TCS)
Infosys
Wipro
Cognizant

Can I Study for an AI Data Engineering Course in Other Locations?

Yes! Infibee Technologies offers AI Data Engineering Training across major cities in India, along with online learning options.

With expert trainers, practical learning, certification support, project exposure, and placement assistance, Infibee Technologies provides flexible learning opportunities for students and professionals across India.

How to Register for the AI Data Engineering Course at Infibee Technologies?

Step 1: Register for a Free Demo

Visit the Infibee Technologies website and submit the enquiry form. Participate in a free demo session to understand the AI Data Engineering Training methodology, course structure, and learning approach.

Step 2: Select Your Training Mode

Choose between classroom, online, weekend, self-paced, or corporate training. Confirm your preferred batch timing and training mode based on your convenience.

Step 3: Start Your AI Data Engineering Journey

Begin learning with experienced instructors, participate in practical exercises and projects, develop data pipelines, work with modern technologies, prepare your resume and interviews, and work toward relevant AI Data Engineering certification opportunities.

Enroll Today: Unlock Your AI Data Engineering Training Potential!

Start your AI Data Engineering Training with Infibee Technologies and build practical expertise in data pipelines, cloud, Big Data, AI workflows, and analytics through projects, expert training, certification guidance, and placement support.

Why People Choose Infibee ?

Join in a group of three or more on same course we will be delighted to offer you a group discount upto 30%.

Get Discount

Upcoming AI Data Engineering Batches

[dateshortCodeCi day=' monday ' ]

Mon-FriWeekdays Regular

08:00 AM & 10:00 AM Batches(Class 1Hr - 2Hrs) / Per Session

[dateshortCodeCi day=' wednesday ' ]

Mon - FriWeekdays Regular

06:00 PM & 08:00 PM Batches(Class 1Hr - 2Hrs) / Per Session

[dateshortCodeCi day=' Friday ' ]

Sat-SunWeekend Batch

09:00 AM & 01:00 PM Batches(Class 2Hr - 4Hrs) / Per Session

Can't find a batch? Pick your own schedule

AI Data Engineering Course Syllabus

Join our AI Data Engineering Course to build industry-ready expertise in designing, developing, and managing modern data pipelines for AI and analytics applications. Learn Python, SQL, ETL, databases, cloud technologies, Big Data, data warehousing, Apache Spark, and AI-ready data architectures through hands-on projects. Gain practical skills to build reliable, scalable, and secure data solutions that power machine learning, business intelligence, and artificial intelligence systems.

What is Data Engineering?
Role of a Data Engineer
Data Engineering vs Data Analytics vs Data Science
Introduction to Artificial Intelligence
AI and Data Engineering relationship
Data Engineering lifecycle
Data pipelines and workflows
Batch vs real-time data processing
Modern data engineering architecture
Industry use cases

Python fundamentals
Variables and data types
Conditional statements and loops
Functions and modules
Exception handling
Object-oriented programming basics
File handling
Working with CSV, JSON and XML
NumPy and Pandas
Python for data processing
Writing reusable data-processing scripts

Relational database concepts
Tables, keys and relationships
SQL fundamentals
SELECT, WHERE and ORDER BY
Aggregate functions
GROUP BY and HAVING
Joins
Subqueries
CTEs
Window functions
Views and stored procedures
Query optimization
SQL for data engineering

Data modeling fundamentals
OLTP vs OLAP
Star and snowflake schemas
Fact and dimension tables
Data warehouse architecture
Data marts
Slowly Changing Dimensions
Data warehouse design
Dimensional modeling
Building analytics-ready datasets

Introduction to ETL and ELT
Data extraction techniques
Data transformation
Data loading
Batch data pipelines
Incremental data loading
Data validation
Error handling
Pipeline monitoring
Workflow orchestration concepts
Building automated data pipelines

Introduction to Big Data
Big Data characteristics
Hadoop ecosystem
HDFS fundamentals
Distributed data processing
MapReduce concepts
Hive
Large-scale data processing
Big Data architecture
Data engineering use cases

Introduction to Apache Spark
Spark architecture
RDDs
DataFrames
Spark SQL
PySpark
Transformations and actions
Data aggregation
Joins in Spark
Performance optimization
Processing large datasets
Building Spark data pipelines

Data integration concepts
APIs and external data sources
Real-time data processing
Streaming vs batch processing
Apache Kafka fundamentals
Producers and consumers
Topics and partitions
Event-driven data pipelines
Stream processing concepts
Real-time data ingestion

Introduction to cloud computing
Cloud data engineering architecture
Cloud storage concepts
Cloud databases
Data processing services
Cloud-based ETL pipelines
Scalability and performance
Identity and access management
Cloud data security
Introduction to AWS/Azure/GCP data services

Introduction to Data Lakes
Data Lake vs Data Warehouse
Lakehouse architecture
Data ingestion
Data storage layers
Structured, semi-structured and unstructured data
Metadata management
Data catalogs
Modern data architecture
AI-ready data platforms

Data requirements for Machine Learning
Building ML-ready datasets
Feature engineering
Feature pipelines
Training data preparation
Data preprocessing
Model data validation
Managing ML datasets
Introduction to MLOps
Data pipelines for AI applications

Generative AI for Data Engineering
AI-assisted SQL development
AI-assisted Python coding
Automated data transformation
AI-powered data quality checks
Intelligent anomaly detection
AI-assisted pipeline documentation
Automated data profiling
AI agents for data workflows
Responsible use of AI in data engineering

Data quality fundamentals
Data validation
Data profiling
Data lineage
Data governance
Data privacy
Authentication and authorization
Data encryption
Access control
Security best practices
Compliance fundamentals

Pipeline scheduling
Workflow orchestration
Dependency management
Pipeline logging
Error handling
Performance monitoring
Data quality monitoring
Alerting and notifications
Pipeline optimization
Introduction to CI/CD for data engineering

Need customized curriculum?

Build Resume & Get PlacedPlacement Support With Resume Preparation & Interview Guidance

Hands On AI Data Engineering Projects

Gain practical experience through hands-on AI Data Engineering projects based on real-world industry scenarios. Learn to build scalable data pipelines, integrate multiple data sources, process large datasets, and prepare AI-ready data using Python, SQL, Spark, Kafka, and cloud technologies. These projects strengthen your data engineering, automation, problem-solving, and AI infrastructure skills.

Enterprise RAG Data Pipeline

Build an AI-powered data pipeline that ingests company documents such as PDFs, Word files, and web content. The system cleans and chunks documents, generates embeddings, stores them in a vector database, and prepares the data for a Retrieval-Augmented Generation (RAG) application that provides accurate answers from enterprise knowledge.

LLM Data Preparation & Evaluation Pipeline

Develop a pipeline for preparing high-quality datasets for Large Language Models. Collect and process raw text, remove duplicates and irrelevant content, detect sensitive information, create training/evaluation datasets, and automatically evaluate LLM responses for accuracy, relevance, hallucination, and quality.

AI Agent Data & Knowledge Pipeline

Build a data platform that continuously collects and organizes information required by AI agents. Process structured and unstructured data, create embeddings and metadata, maintain a searchable knowledge base, and provide AI agents with reliable, up-to-date context for tasks such as research, customer support, and automated decision-making.

For Corporates

Educate your workforce with new skills to improve their performance and productivity.

Corporate Training

Customised training with customised curriculum to meet the requirements of your workforce
Diversified learning models Live online training, Self-paced videos, On-premises training, and Classroom training
Dedicated lab setup with software installation, evaluation reports of employees, and study material with video recoding
We have a diverse pool of skilled instructors from numerous industries, ensuring the best fit for your customised requirements
Track and measure the impact of training on individuals and teams with our evaluation performance report

"Leading Companies We've Served"

No data was found

Our Instructor

Name

Ms. Yuga Sri

Experience

4+ Years

Specialized in

AI Data Engineering, LLM & GenAI Data Pipelines, RAG, Vector Databases, Embeddings, Unstructured Data Processing, AI Data Preparation, LLM Evaluation, and Enterprise AI Knowledge Systems.

More Details

Ms. Yuga Sri is an experienced AI Data Engineer specializing in LLM and GenAI data pipelines, RAG systems, vector databases, embeddings, and unstructured data processing. She brings practical industry knowledge in building enterprise AI data solutions and helps learners develop hands-on skills through real-world projects and applications.

AI Data Engineering Course Objectives

Our AI Data Engineering Course aims to develop practical expertise in designing data pipelines for AI and Generative AI applications. Learners will understand LLM data preparation, document processing, embeddings, vector databases, RAG pipelines, data quality, evaluation, and production workflows. The course emphasizes hands-on projects and industry-oriented AI data engineering practices.

Learners will gain practical skills in building AI-ready data pipelines, preparing LLM datasets, processing unstructured data, creating embeddings, and developing RAG-based data workflows.

The course covers LLM data processing, GenAI pipelines, document ingestion, chunking, embeddings, vector databases, RAG, data quality, LLM evaluation, and enterprise AI knowledge systems.

Learners will build real-world AI Data Engineering projects, including RAG knowledge systems, LLM data preparation pipelines, and AI-powered data processing and evaluation workflows.

Job Assistance Program

Our Job Assistance Programme offers you special guidance through the course curriculum and helps in your interview preparation.

Specialised Curriculum

Get on-field knowledge and skills from our expert instructors.

Assessment

Upgrade your on-field skills with our assessments and track your progress in real time.

Hands-on Project

Our hands-on project help you gain experience in real-time working.

Certification Guidance

A global certificate always helps you stand out from the crowd.

Portfolio Building

Experts guide you to maximise your profile with current industry trends that employers expect.

Placment Cell

We promote your abilities and showcase your portfolio to employers.

AI Data Engineering Career Opportunity

Our institute connect trained AI Data Engineering Course professionals with opportunities across technology, data, cloud, and AI-driven organizations. Through industry-focused hiring support, learners can explore roles involving GenAI data pipelines, LLM applications, RAG systems, vector databases, AI data platforms, and enterprise data solutions, supporting their transition into rewarding careers.

Annual Pay Scale

Employers

Annual Salary

Hiring Companies

Placement Guidance & Interview Preparation

Infibee’s placement guidance navigates you to your desired role in top organisations, ensuring you stand out and excel in every opportunity.

Resume Enhancement: Updating and enhancing your resume to effectively highlight your abilities, experience, and accomplishments.
Mock Interviews: Practice real-life interviews with feedback to fine-tune your responses, boost confidence, and reduce anxiety.
Industry Insights: Stay informed about industry trends, company culture, and expectations to excel in interviews.
Job Portal Updation: Update or create your profile in job portals with our guidance and listing of key words for your preferred designation.

Customized Preparation: Targeted preparation for specific job roles, ensuring you are well-prepared for role-specific questions.
Interview Strategies: Comprehensive coaching on interview techniques and communication skills to ace any interview.
Confidence Building: Boosting self-assurance and equipping you with the mindset needed to excel during interviews.
Online Presence: Optimizing your online presence, including LinkedIn profiles and social media, to align with your career goals.

      
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I joined Infibee in order to take a Data Science Course. Being from a non-IT background, I believe that being an IT Professional will be difficult for me. But now I believe that joining Infibee is the best decision I've ever made. My overall experience has been excellent. The teaching and non-teaching staff are both excellent. I will never forget the experience I had with Infibee. Thank you for your help and support, Infibee.

Muthu krishnan

I graduated without an IT background, but Infibee has helped me advance my career as a data scientist. Here, mentors are very helpful. With the right guidance and dedication, you can achieve your dreams. Self-study is also crucial if you want to stand out from the crowd and seize your opportunities.Companies frequently visit Infibee for placements and take some incredible talent with them.

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I enrolled in Infibee's PG Data Science course. The training experience was excellent, with 80% practical training and 20% theory, which was extremely beneficial. I learned a great deal. My placement process began after I completed my course, and I am now working as an RPA and Data Science Intern at rsutra. Nisha Mam was extremely helpful during the placement process.

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The courses on Infibee are excellent. It has great value. I was non IT person and joined for Data Science course it was really helpful and interesting learning with Infibee. Teachers are also incredible they did an excellent job of ensuring that we understood each concept. Excellent job setting up the mock test and interview. I enjoyed finding more skill out of me from Infibee.I appreciate Infibee's assistance in advancing my career.

Lavanya

I completed Full Stack Development Course at infibee. Infibee is the best training institute. My trainer taught us the best concepts out there. His teaching skills are great. They are having lots of knowledge. The way of teaching is also good. I am satisfied with the course. Glad to have found this institute.

Madhaiyan Madhan

AI Data Engineering Training FAQ's

Infibee AI Data Engineering Course offers wide range of services that suits for both fresher and experienced persons via both offline and online at your suitable time slots.

You need not worry about having missed a class. Our dedicated course coordinator will help them with anything and everything related to administration. The coordinator will arrange a session for the student with trainers in place of the missed one.

Yes, of course. You can contact our team at Infibee Technologies, and we will schedule a free demo or a conference call with our mentor for you.

We provide classroom, online, and self-based study material and recorded sessions for students based on their individual preferences.

Yes, all our trainers are industry professionals with extensive experience in their respective domains. They bring hands-on practical and real-world knowledge to the training sessions.

Yes, participants typically receive access to course materials, including recorded sessions, assignments, and additional resources, even after the training concludes.

We provide placement assistance to students, including resume building, interview preparation, and job placement support for a wide range of software courses.

Yes, we offer customisation of the syllabus for both individual candidates and corporate also.

Yes, we offer corporate training solutions. Companies can contact us for customised programmes tailored to their team’s needs.

Participants need a stable internet connection and a device (computer, laptop, or tablet) with the necessary software installed. Detailed technical requirements are provided upon enrollment.

In most cases, such requests can be accommodated. Participants can reach out to our support team to discuss their preferences and explore available options.

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AI Data Engineering Course

Other Related AI Courses

AI Data Engineering Course Overview

Why Choose Infibee Technologies for an AI Data Engineering Course?

Best AI Data Engineering Training Institute – Get Certified with Infibee Technologies

Certification Providing

Modes of Training at Infibee Technologies

Global Certifications Available for AI Data Engineering Training

Who Can Join AI Data Engineering Training?

Career Opportunities in AI Data Engineering

Who’s Hiring Advanced AI Data Engineering Professionals?

Can I Study for an AI Data Engineering Course in Other Locations?

How to Register for the AI Data Engineering Course at Infibee Technologies?

Enroll Today: Unlock Your AI Data Engineering Training Potential!

Why People Choose Infibee ?

Upcoming AI Data Engineering Batches

AI Data Engineering Course Syllabus

Hands On AI Data Engineering Projects

Enterprise RAG Data Pipeline

LLM Data Preparation & Evaluation Pipeline

AI Agent Data & Knowledge Pipeline

For Corporates

AI Data Engineering Course Objectives

Job Assistance Program

Specialised Curriculum

Assessment

Hands-on Project

Certification Guidance

Portfolio Building

Placment Cell

AI Data Engineering Career Opportunity

Placement Guidance & Interview Preparation

AI Data Engineering Training FAQ's

Toll Free Customer Care

+91 82206 85502

Need live support?

contactus@infibee.in

AI Data Engineering Course

Other Related AI Courses

AI Data Engineering Course Overview

Why Choose Infibee Technologies for an AI Data Engineering Course?

Best AI Data Engineering Training Institute – Get Certified with Infibee Technologies

Certification Providing

Modes of Training at Infibee Technologies

Global Certifications Available for AI Data Engineering Training

Who Can Join AI Data Engineering Training?

Career Opportunities in AI Data Engineering

Who’s Hiring Advanced AI Data Engineering Professionals?

Can I Study for an AI Data Engineering Course in Other Locations?

How to Register for the AI Data Engineering Course at Infibee Technologies?

Enroll Today: Unlock Your AI Data Engineering Training Potential!

Why People Choose Infibee ?

Upcoming AI Data Engineering Batches

AI Data Engineering Course Syllabus

Hands On AI Data Engineering Projects

Enterprise RAG Data Pipeline

LLM Data Preparation & Evaluation Pipeline

AI Agent Data & Knowledge Pipeline

For Corporates

AI Data Engineering Course Objectives

Job Assistance Program

Specialised Curriculum

Assessment

Hands-on Project

Certification Guidance

Portfolio Building

Placment Cell

AI Data Engineering Career Opportunity

Placement Guidance & Interview Preparation

AI Data Engineering Training FAQ's

Get In Touch With Our Career Expert

Get In Touch With Our
Career Expert