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
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