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:

Understand and contrast the standard big data architectures and toolkits

Understand ML libraries deployment and parallelization techniques

Design and implement efficient and secure AI/ML pipelines

Apply containerization techniques for data-intensive applications

Understand and apply privacy preservation

Who Should Attend

Those who have technical and engineering degrees. 


Refresh on Data Models
Data Management
Distributed File Systems and NoSQL

Introduction to AI Pipelines
Workflow Languages
AI Pipeline Examples
AI/Big Data Framework

Deploying Big Data Analytics in Production
Use of AutoML
IoT integration

Focus on Security
Focus on Privacy

Scala Programming
Scala for BigData/AI Pipelines