AI/Big Data Analytics Training (Data Technologist)

The program will provide trainess 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. 

1. Refresh on Data Models

Data management

Distributed file systems and NoSQL

2. Introduction to AI pipelines

Workflow languages

AI pipeline examples

AI/Big Data framework

3. Deploying Big Data analytics in production

Use of AutoML

IoT integration

4. Focus on Security

Focus on Privacy

5. Scala programming

Scala for BigData/AI pipelines