Mentor Based
Data Engineering for AI
Live Registration
BATCH #24
03Seats Left
92% Booked
02
Days
:
00
Hrs
:
00
Min
:
00
Sec
Course Overview
Program Syllabus
Module 1
About This Course
The program delves into the core principles of data engineering for AI, including database management, ETL (extract, transform, load) processes, data warehousing, and cloud computing tools. Participants will learn to build robust and scalable data infrastructures to support machine learning models and AI applications.
Module 2
Aim
This program is designed to equip participants with advanced skills in building scalable data pipelines, managing large datasets, and preparing data for AI models. It focuses on the practical application of data engineering techniques for AI-driven solutions, ensuring efficient data flow, storage, and processing in both cloud and on-premise environments.
Module 3
Program Objectives
- Understand the core principles of data engineering for AI.
- Build scalable data pipelines and automate ETL workflows.
- Manage, store, and process large datasets efficiently.
- Implement real-time data streaming for AI models.
- Gain hands-on experience with cloud-based data engineering tools.
Module 4
Program Structure
- Introduction to Data Engineering for AI
- The role of data engineering in AI and machine learning workflows
- Data engineering vs data science vs machine learning
- Data Pipelines and Workflow Automation
- Building scalable ETL pipelines for AI
- Automating data workflows using Apache Airflow or Prefect
- Data Storage and Management
- Managing structured and unstructured data
- Choosing the right databases for AI (SQL, NoSQL, Hadoop, Spark)
- Data Transformation and Feature Engineering
- Cleaning, transforming, and preparing data for AI models
- Feature selection and engineering techniques
- Cloud Data Engineering for AI
- Leveraging cloud platforms (AWS, GCP, Azure) for scalable data processing
- Using tools like S3, BigQuery, and Redshift for AI datasets
- Real-Time Data Processing for AI
- Real-time data streaming with Kafka, Kinesis, and Spark Streaming
- Implementing real-time AI models using streaming data
- Hands-on Project: Building AI-Ready Data Pipelines
- End-to-end data pipeline development from ingestion to deployment
- Managing and optimizing data pipelines for machine learning projects
Lead Instructor
Dr. Sarah Chen
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Limited SeatsClosing Soon
Data Engineering for AI
Professional Certification Program
π₯
FormatLive + Recorded
π
Duration8 Weeks
π
CertificationVerified
Module 5
Who Should Enrol?
Data engineers, machine learning engineers, AI researchers, and data scientists focusing on building data pipelines for AI applications.
Module 6
Program Outcomes
- Master the design and implementation of scalable data pipelines for AI.
- Proficiency in using cloud and big data tools to manage AI datasets.
- Ability to automate data workflows and manage real-time data streams.
- Experience in preparing and transforming data for machine learning models.
Module 8
What You’ll Gain
- Full access to e-LMS
- Real-world dry lab projects
- 1:1 project guidance
- Publication opportunity
- Self-assessment & final exam
- e-Certificate & e-Marksheet
Module 9
Join Our Hall of Fame!
Take your research to the next level with NanoSchool.
Module 10
Publication Opportunity
Get published in a prestigious open-access journal.
Module 11
Centre of Excellence
Become part of an elite research community.
Module 12
Networking & Learning
Connect with global researchers and mentors.
Module 13
Global Recognition
Worth βΉ20,000 / $1,000 in academic value.
Module 14
View All Feedbacks β
Need Help?
We’re here for you!
β
β
β
β
β
Build Intelligent AI Apps with Retrieval-Augmented Generation (RAG)
Astha Anand β’ β
β
β
β
β
AI for Environmental Monitoring and Sustainablility
IVANA PILJEK MILETIΔ β’ β
β
β
β
β
Prediction of Protein Structure Using AlphaFold: An Artificial Intelligence (AI) Program
Priyanka Saha β’ β
β
β
β
β
Generative AI and GANs
Noelia Campillo Tamarit β’ View All Feedbacks β
Instant Access
Need Guidance?
Not sure if this course is right for you? Schedule a free 15-minute consultation with our academic advisors.