Apache Spark – Use in AI
Unleashing Big Data’s Potential with Apache Spark
MODE
Online/ e-LMS
Online/ e-LMS
TYPE
Mentor Based
Mentor Based
LEVEL
Advanced
Advanced
DURATION
8 week
8 week
Batches
Spring
Summer
Live
Autumn
Winter
Program Aim
Equip participants with the knowledge to use Apache Spark for building robust AI applications, focusing on processing large datasets efficiently.
About Program
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.
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.
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
Certificate
Program Assessment
- Assignments: Hands-on tasks applying Spark in data handling and machine learning scenarios.
- Quizzes: After each section to ensure a solid understanding of the material.
- Final Project: A capstone project where participants will apply all learned skills in a real-world AI challenge using Spark.
Program Deliverables
- Comprehensive video lectures and interactive live sessions.
- Real-world case studies demonstrating Spark’s impact across various sectors.
- Continuous feedback and guidance through an interactive learning platform.
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
