Category Name > Artificial Intelligence


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.
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

Technical and Engineering degree


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