📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of Apache Hadoop Basics, from foundations to a certified capstone project.
Outline
Understand the fundamentals of Hadoop and its core components • Explore AI concepts and their synergy with Hadoop • Identify use‑cases where big data fuels intelligent solutions
Outline
Install and configure Hadoop clusters on cloud or on‑premise • Integrate popular AI libraries (TensorFlow, PyTorch) with Hadoop • Validate the environment with sample AI workloads
Outline
Store massive datasets efficiently using HDFS • Process data at scale with MapReduce jobs • Optimize data pipelines for AI model training
Outline
Develop machine‑learning models using Hadoop‑based frameworks • Deploy models across the cluster for distributed inference • Monitor performance and iterate on model improvements
Outline
Scale AI applications horizontally across nodes • Tune Hadoop parameters for maximum throughput • Implement best practices for fault‑tolerant AI workloads
Outline
Plan and execute a capstone AI project on Hadoop • Explore industry case studies across finance, healthcare, and retail • Present solutions and receive expert feedback
Earn government-registered certification in Apache Hadoop Basics
e-Certificate and e-Marksheet issued on successful completion.
