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 the data/application engineering one.
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
Technical and Engineering degree.
1. Introduction to Big Data I
The landscape of data analytics I
2. Introduction to Big Data II
Introduction: technology – neutral basic models
Basic Machine Learning Techniques
3. Methodology for Big Data Application Development
The NOSQL ecosystem and its relation with MapReduce
Benchmarks
Focus on Network Analysis
Graphs and Networks
4. Introduction to Big Data III
Focus on Regression
5. Introduction to cloud computing
Focus on Azure
