fbpx


Mentor Based

Apache Spark Basics

Unleashing Big Data’s Potential with Apache Spark

Enroll now for early access of e-LMS

MODE
Online/ e-LMS
TYPE
Mentor Based
LEVEL
Advanced
DURATION
4 weeks

About

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.

Aim

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

Fee:       INR 10,999             USD 164

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 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!


×

Related Courses

program_img

Python for Data Science

Recent Feedbacks In Other Workshops

Please prepare better material with both foundamentals on the topics and manifacturing processes. More It was not a good idea to just use existing slides from other presentations put together.
Other sources for informations should also be presented for self tuition

GC Faussone : 2025-01-23 at 10:09 pm

great knowledge about topic.


Mr. Pratik Bhagwan Jagtap : 2025-01-22 at 7:29 pm

In general, it seems to me that the professor knows his subject very well and knows how to explain More it well.
CARLOS OSCAR RODRIGUEZ LEAL : 2025-01-20 at 8:07 am

View All Feedbacks

Still have any Query?