Big Data + AI

About Big Data + AI

Big Data + AI focuses on harnessing the power of massive data volumes with Artificial Intelligence to generate smarter, faster, and more accurate insights. This course teaches how to manage, process, and analyze big datasets using modern Big Data tools, while applying AI techniques such as machine learning, natural language processing, and predictive analytics. Learners will work with tools like Hadoop, Spark, Hive, and Kafka, and integrate them with AI libraries such as TensorFlow, PyTorch, and MLlib. Designed for data engineers, AI developers, and analysts, the course empowers students to build end-to-end intelligent systems that handle high-volume data and deliver real-time, AI-driven decisions. By the end of the course, students will be able to deploy scalable AI pipelines that combine the best of Big Data architecture and Artificial Intelligence.

Big Data + AI Course Objectives

You will be expertise and eligible for:

• Understand Big Data architecture and processing frameworks like Hadoop and Spark
• Build data pipelines using Kafka, Spark Streaming, and NoSQL databases
• Perform data preprocessing and transformation for AI models
• Apply machine learning algorithms at scale using Spark MLlib and TensorFlow on big datasets
• Use AI to detect anomalies, predict trends, and automate decision-making
• Deploy end-to-end Big Data + AI solutions on cloud platforms like AWS, Azure, and GCP

Pre-Requisites

This course is ideal for professionals and learners with:

• Basic understanding of programming (Python/Java/Scala preferred)
• Familiarity with SQL and data concepts
• Some exposure to AI/ML or Big Data concepts (optional but helpful)

Duration of the Course

• "L" understands the challenges like security, time limitations, and location that prevent many learners from attending traditional classes.
• Duration of 50 sessions.
• 1 hour per day.
• Provides soft copy of every class after its completion.
• Provides class recording sessions.