Apache Hadoop – Use in AI

Harnessing Big Data for Artificial Intelligence

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Online/ e-LMS
Mentor Based
8 Weeks


This course explores how Apache Hadoop’s robust ecosystem can be utilized to support advanced AI functionalities, focusing on the integration of big data technologies with AI tools to enhance data processing and analysis capabilities.


To equip participants with the knowledge to use Apache Hadoop for storing, managing, and processing large datasets in AI applications efficiently.

Program Objectives

  • Gain mastery over Hadoop’s ecosystem and its application in AI.
  • Develop skills to configure and optimize Hadoop for large-scale AI solutions.
  • Implement real-world AI projects using Hadoop to solve complex data challenges.

Program Structure

  1. Introduction to Hadoop and AI:
    • Basics of Hadoop and its components, introduction to AI, and their synergy.
  2. Setting Up Hadoop for AI:
    • Installation, configuration, and integration of AI tools with Hadoop.
  3. Data Management in Hadoop:
    • Deep dive into HDFS for data storage, and using MapReduce for efficient data processing.
  4. AI Models with Hadoop:
    • Developing and deploying AI models using Hadoop, with focus on machine learning implementations.
  5. Scalability and Performance:
    • Techniques for scaling AI applications and optimizing performance within the Hadoop ecosystem.
  6. Project and Real-world Applications:
    • Practical project planning, development, and real-world applications of Hadoop in AI across various industries.

Participant’s Eligibility

  • Individuals with a background in IT, Computer Science, and data sciences, interested in big data and AI.
  • Professionals in tech industries such as BFSI, IT services, consulting, looking to enhance their big data processing skills.

Program Outcomes

  • Proficiency in managing and analyzing big data with Hadoop.
  • Enhanced ability to design and implement scalable AI systems.
  • Readiness to tackle advanced data processing challenges in the tech industry.

Fee Structure

Standard Fee:           INR 49,998           USD 1,300

Discounted Fee:       INR 24999             USD 650





Program Assessment

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

Exam Weightage
Mid Term Assignments 20 %
Final Online Exam 30 %
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.

Program Deliverables

  • Access to e-LMS
  • Real Time Project for Dissertation
  • Project Guidance
  • Paper Publication Opportunity
  • Self Assessment
  • Final Examination
  • e-Certification
  • e-Marksheet

Placement Assistance

  • Industry Connections: Exposure to industry partners and tech leaders in the field of big data and AI.
  • Career Guidance: Tailored advice on leveraging Hadoop skills in AI applications for career advancement.

Future Career Prospects

  • Big Data Architect
  • AI and Machine Learning Engineer
  • Data Analyst in AI-driven industries

Enter the Hall of Fame!

Take your research to the next level!

Publication Opportunity
Potentially earn a place in our coveted Hall of Fame.

Centre of Excellence
Join the esteemed Centre of Excellence.

Networking and Learning
Network with industry leaders, access ongoing learning opportunities.

Hall of Fame
Get your groundbreaking work considered for publication in a prestigious Open Access Journal (worth ₹20,000/USD 1,000).

Achieve excellence and solidify your reputation among the elite!


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