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Apache Spark Basics

Unleashing Big Data’s Potential with Apache Spark

★ 4.1 (31 ratings)4 weeksCertificate

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.

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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

Introduction to Apache Spark:
- Fundamentals of Spark, its ecosystem, and advantages over other big data frameworks.
Spark Core Concepts:
- Deep dive into Resilient Distributed Datasets (RDDs) and DataFrames for data manipulation.
Spark for AI Applications:
- Utilizing Spark’s MLlib for machine learning and integrating with AI frameworks like TensorFlow and PyTorch.
Advanced Data Processing:
- Techniques in stream processing and handling big data for AI applications.
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.
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.

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Fee Structure

Discounted: ₹10,999 | $164

We accept 20+ global currencies. View list →

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Frequently asked questions

Will I get the recording?

Yes. Paid participants get the session recordings and study material in their NanoSchool dashboard (My registrations → Recorded Lectures / Study Material).

What if I miss a live session?

Watch the recording in your dashboard and send your questions to the mentor through the support desk.

Do I get a certificate?

Yes, an e-certificate of participation after the workshop, with a QR code anyone can verify and an "Add to LinkedIn" button.

Which fee category applies to me?

Choose the category that matches your current role: Student, Ph.D. Scholar / Researcher, Academician / Faculty or Industry Professional.

How can I pay?

By card, UPI or PayPal on the payment page; international bank transfer is also available there.

What is the refund policy?

See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy

Need Help?

We’re here for you!

(+91) 120-4781-217
WhatsApp +91 99581 61117

Apache Spark Basics

About This Course

Aim

Program Objectives

Program Structure

Who Should Enrol?

Program Outcomes

Fee Structure

Frequently asked questions

Need Help?

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