Cloud Computing with AI

Mode :

Offline / Online  / Weekend

Duration :

6 Hours

Who Should Enroll:

This course is ideal for working professionals, college students, data scientists, and AI enthusiasts who are interested in understanding the integration of AI with cloud computing and learning how to deploy AI models on cloud platforms.

Prerequisites

No prior knowledge is needed. Basic understanding of cloud computing concepts and artificial intelligence will be helpful.

Program Objectives

The objective of this course is to explore the synergy between AI and cloud computing. Participants will learn how cloud computing supports and enhances AI development. The course will provide an overview of key cloud-based AI tools, such as AWS SageMaker and Google AI Platform, and include hands-on exercises for deploying AI models on cloud platforms. Additionally, best practices for building scalable AI solutions in the cloud will be covered.

Key Topics

Intro to Cloud and AI: Learn how cloud computing enables and accelerates AI development and deployment.

AI in the Cloud: Overview of cloud-based AI tools such as AWS SageMaker and Google AI Platform.

Hands-on: Deploying AI Models: Practical experience in deploying an AI model on a cloud platform and testing its performance.

Cloud-Native AI Tools: Best practices for developing scalable and effective AI solutions using cloud-native tools.

Faculty and Resources

The course is taught by experienced professionals with expertise in AI and cloud computing. Participants will have access to cloud platforms and tools for hands-on learning and practical exercises.

Certification

Upon successful completion of the course, participants will receive a Certificate of Participation in AI & Cloud Computing Synergy.