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Mentor Based

Apache Spark Basics

Unleashing Big Data’s Potential with Apache Spark

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Early access to the e-LMS platform is included

  • Mode: Online/ e-LMS
  • Type: Mentor Based
  • Level: Advanced
  • Duration: 4 weeks

About This Course

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.

Who Should Enrol?

  • 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

Discounted: ₹10,999 | $164

We accept 20+ global currencies. View list →

What You’ll Gain

  • Full access to e-LMS
  • Real-world dry lab projects
  • One-on-one project guidance
  • Publication opportunity
  • Self-assessment & final exam
  • e-Certificate & e-Marksheet

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