AI Data Engineering Course

Rated 5 out of 5

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25 hrs of E-Learning Videos
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AI Data Engineering Course Overview

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Upcoming AI Data Engineering Batches

21-09-2026
Mon-FriWeekdays Regular
08:00 AM & 10:00 AM Batches(Class 1Hr - 2Hrs) / Per Session
23-09-2026
Mon - FriWeekdays Regular
06:00 PM & 08:00 PM Batches(Class 1Hr - 2Hrs) / Per Session
25-09-2026
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
"Leading Companies We've Served"
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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
Placement Designation
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.

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I enrolled in the Workday HCM Payroll course at Infibee Technologies and I am fully satisfied with the training. The classes were easy to understand and the placement guidance together with mock interviews helped me build trust in my abilities. Job seekers should consider this program because it comes with high recommendations.
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I enrolled in the SAP ANALYTICS CLOUD course at Infibee Technologies and the classes were very well structured. The trainers possess industry experience and they delivered effective assistance with both resume creation and job placement services. This institution serves as the topmost educational center for SAP training courses.
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I recently completed the SAP CO-PA course at Infibee Technologies and had a great experience. The training quality was excellent, and the trainers were friendly, knowledgeable, and very supportive. They also provided valuable help with interview preparation and resume building, which boosted my confidence. With affordable fees and strong support, I highly recommend this institute for SAP training.
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The Oracle Flexcube course at Infibee Technologies provided me with practical knowledge through its educational sessions. The trainer explained all concepts clearly and the placement support was very helpful. The program provides excellent Oracle training according to my assessment.
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The SAP IBP Course training is excellent. Trainers are knowledgeable and guide students with real-time scenarios. Placement support and resume preparation are very good. Highly recommended!
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I learned SAP FSCD Course at Infibee Technologies and it was very helpful. Trainers provide real-time examples and excellent placement support. Highly recommended institute!
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I completed the MS DYNAMICS 365 CRM course at Infibee Technologies and found the training to be very beneficial. The course was explained in an easy way and the placement guidance gave me more confidence. I highly recommend joining this program at the present time.
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I completed the Workday HR course at Infibee Technologies and the training was really helpful for my career growth. The trainers support students by providing simple explanations which include real-world examples of every topic. Highly recommended to join now.
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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.
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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.
Pranali
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.
Yuvaraj
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.
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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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