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    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.

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    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.

    Intended For

    • 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.

    Mentors

    AI Mentor
    AI mentor

    Rajnish Tandon

    Bodhi Nexus (Founder)

    Biography
    AI Mentor
    AI mentor

    Pratish Jain

    Rajiv Gandhi Proudyogiki Vishwavidyalaya

    Biography
    AI Mentor
    AI mentor

    J. T. Sibychen
    Cyber and Cloud Security Trainer

    NIIT Foundation

    Biography

    More Mentors

    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

    FOR QUERIES, FEEDBACK OR ASSISTANCE

    Key Takeaways

    • 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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