Overview

The program will provide trainees with exposure to and expertise in all the major techniques in AI, covering both the algorithmic/machine learning aspect and data/application engineering:

Classify and contrast the standard data analytics architectures

Analyze data analytics problems and use various techniques to solve them

Apply and implement decision and classification techniques

Design basic machine learning systems and use them to solve classification problems


Who should attend

Those who have technical and engineering degrees. 


Outline

Introduction to Big Data I
The landscape of data analytics I

Introduction to Big Data II
Introduction: Technology-neutral basic models
Basic Machine Learning Techniques

Methodology for Big Data Application Development
The NOSQL ecosystem and its relation with MapReduce
Benchmarks
Focus on Network Analysis
Graphs and Networks

Introduction to Big Data III
Focus on Regression

Introduction to cloud computing
Focus on Azure