Amazon Web Services for AI Services and Computing Power
Harnessing the Cloud for Next-Generation Artificial Intelligence
Skills you will gain:
This course provides an in-depth exploration of AWS’s powerful cloud computing services tailored for artificial intelligence, including machine learning, deep learning, data management, and processing services.
Aim: To enable learners to utilize AWS’s robust cloud capabilities for developing, training, and deploying AI models effectively and efficiently.
Program Objectives:
- Master AWS tools and services for AI and machine learning.
- Develop, deploy, and manage AI solutions efficiently on the cloud.
- Optimize AI applications for scalability and cost.
What you will learn?
- Introduction to AWS and AI Services:
- Basics of AWS’s architecture and its comprehensive AI services.
- AWS Machine Learning Services:
- Detailed insights into using SageMaker, Comprehend, and Rekognition for practical AI applications.
- AWS for Deep Learning:
- Utilization of AWS Deep Learning AMIs and containers, TensorFlow, and PyTorch integration.
- Data Management and Processing in AWS:
- Building AWS data lakes, using AWS Kinesis for real-time data streaming and analytics.
- Scalability and Cost Management:
- Strategies for managing scalability and optimizing costs in AWS.
- Security and Compliance:
- Ensuring robust security measures and understanding AWS’s compliance frameworks.
- Project and Capstone:
- Comprehensive project from design to implementation using AWS to solve real-world AI challenges.
Intended For :
- Tech professionals and students with a foundation in IT, Computer Science looking to specialize in AI using cloud platforms.
- Individuals from BFSI, IT services, consulting looking to enhance their tech capabilities in cloud AI.
Career Supporting Skills
