Big Data Analytics with AI

Unlock the Power of Big Data with AI-Driven Analytics

Explore

Enroll now for early access of e-LMS

MODE
Online/ e-LMS

TYPE
Self Paced

LEVEL
Moderate

DURATION
4 Weeks

About

The program focuses on integrating AI algorithms with big data tools to enhance analytics capabilities. Participants will learn to use distributed systems like Hadoop and Spark for processing big data and deploying machine learning models for real-time and batch analytics.

Aim

This program is designed to help professionals and researchers understand how AI-driven techniques are applied to big data for extracting valuable insights. It covers end-to-end data processing, predictive analytics, and AI-enhanced decision-making in industries using large-scale data.

Program Objectives

Learn to process big data using distributed systems like Hadoop and Spark.
Apply AI algorithms to analyze big data for decision-making.
Implement predictive analytics with AI-driven forecasting models.
Build real-time AI models for dynamic data environments.
Visualize big data using AI-enhanced tools and techniques.

Program Structure

Introduction to Big Data and AI
- Overview of Big Data and Its Characteristics (Volume, Velocity, Variety)
- Introduction to AI and Machine Learning in Big Data
- Key Big Data Applications in AI (e.g., Healthcare, Finance, IoT)
Big Data Tools and Frameworks
- Hadoop Ecosystem (HDFS, MapReduce, YARN)
- Apache Spark for Big Data Processing
- Introduction to Cloud Platforms (AWS, Azure, GCP) for Big Data
Data Storage and Management
- Structured, Semi-Structured, and Unstructured Data
- NoSQL Databases (Cassandra, MongoDB, HBase)
- Data Warehousing and Distributed Storage Systems
Data Ingestion and ETL Pipelines
- Data Collection and Integration
- Real-time Data Streaming with Kafka and Flume
- Building ETL (Extract, Transform, Load) Pipelines
AI and Machine Learning on Big Data
- Introduction to Distributed Machine Learning
- Scalable Machine Learning Algorithms on Spark MLlib
- Working with Big Data in Python (PySpark, Dask)
Deep Learning for Big Data
- Handling Big Data with Neural Networks
- Using TensorFlow and Keras for Large-Scale Deep Learning
- Distributed Deep Learning on Spark and Kubernetes
Natural Language Processing (NLP) on Big Data
- Text Analytics with Big Data (Processing Large Textual Datasets)
- Large-Scale NLP with BERT, GPT on Big Data Systems
- Applications of NLP in Big Data (e.g., Sentiment Analysis, Topic Modeling)
Big Data Analytics with AI in Computer Vision
- Handling Large-Scale Image Data
- Distributed CNN Training with Big Data
- Image Classification, Object Detection on Big Data Systems
Big Data Visualization and Insights
- Visualizing Large Datasets with Tools like Tableau, Power BI
- Big Data Dashboards and Reporting
- Real-Time Data Visualization with AI-driven Insights
Big Data and AI Ethics
- Ethical Concerns in AI with Big Data
- Data Privacy and Security Issues
- Bias in Big Data Analytics and AI
Big Data Case Studies and Real-World Applications
- Use Cases in Healthcare, Finance, Retail
- Case Studies on AI Applications (e.g., Fraud Detection, Predictive Maintenance)
- Hands-On Implementation in Real-World Scenarios
Final Project
- A large-scale project where students will apply AI techniques to a big dataset.
- Example: Build a predictive analytics model on a big dataset (e.g., customer behavior prediction, medical data analysis).

Participant’s Eligibility

Data engineers, data scientists, AI researchers, and big data analysts focused on integrating AI with big data tools.

Program Outcomes

Proficiency in using AI algorithms to analyze and process big data.
Skills in building scalable data pipelines using Hadoop, Spark, and AI frameworks.
Ability to implement real-time AI analytics on big data platforms.
Experience with predictive modeling and forecasting on large datasets.

Fee Structure

Standard Fee: INR ~~5,998~~ USD 90

Discounted Fee: INR 2,999 USD 45

We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!

List of Currencies

Batches

Spring

Summer

Live

Autumn

Winter

FOR QUERIES, FEEDBACK OR ASSISTANCE

Contact Learner Support

Best of support with us

Phone (For Voice Call)

WhatsApp (For Call & Chat)

Key Takeaways

Program Assessment

Certification to this program will be based on the evaluation of following assignment (s)/ examinations:

Exam	Weightage
Mid Term Assignments	50 %
Project Report Submission (Includes Mandatory Paper Publication)	50 %

To study the printed/online course material, submit and clear, the mid term assignments, project work/research study (in completion of project work/research study, a final report must be submitted) and the online examination, you are allotted a 1-month period. You will be awarded a certificate, only after successful completion/ and clearance of all the aforesaid assignment(s) and examinations.