Apache Spark – Use in AI

Unleashing Big Data’s Potential with Apache Spark

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Online/ e-LMS
Mentor Based
8 week


This course provides an in-depth exploration of Apache Spark, its core concepts, and its integration with AI technologies to enhance machine learning capabilities and handle big data with ease.


Equip participants with the knowledge to use Apache Spark for building robust AI applications, focusing on processing large datasets efficiently.

Program Objectives

  • Master Apache Spark’s capabilities for big data processing and its application in AI.
  • Develop practical skills in building and optimizing AI models using Spark.
  • Prepare for advanced roles in data science and artificial intelligence.

Program Structure

  1. Introduction to Apache Spark:
    • Fundamentals of Spark, its ecosystem, and advantages over other big data frameworks.
  2. Spark Core Concepts:
    • Deep dive into Resilient Distributed Datasets (RDDs) and DataFrames for data manipulation.
  3. Spark for AI Applications:
    • Utilizing Spark’s MLlib for machine learning and integrating with AI frameworks like TensorFlow and PyTorch.
  4. Advanced Data Processing:
    • Techniques in stream processing and handling big data for AI applications.
  5. Real-World Applications and Case Studies:
    • Exploring Spark’s application in various industries such as healthcare and finance, with a focus on performance tuning and best practices.
  6. Project Work:
    • Designing and implementing a comprehensive Spark AI project from planning to deployment.

Participant’s Eligibility

  • Data professionals and AI enthusiasts looking to enhance their skill set in big data technologies.
  • IT and Computer Science students or professionals aiming to specialize in scalable AI solutions.

Program Outcomes

  • In-depth understanding of Apache Spark and its utility in AI.
  • Enhanced skills in data processing, machine learning model building, and project implementation.
  • Preparedness for challenges in big data and AI-driven industries.

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 Networking: Opportunities to connect with big data and AI professionals.
  • Career Services: Guidance on leveraging Spark skills for career advancement in data-intensive industries.

Future Career Prospects

  • Data Scientist
  • Machine Learning Engineer
  • Big Data Architect

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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