📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of AWS for AI Services, from foundations to a certified capstone project.
Outline
Exploring the basics of AWS’s architecture and its comprehensive AI services.
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Gaining detailed insights into using SageMaker, Comprehend, and Rekognition for practical AI applications.
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Utilizing AWS Deep Learning AMIs and containers, TensorFlow, and PyTorch integration.
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Building AWS data lakes, using AWS Kinesis for real-time data streaming and analytics.
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Developing strategies for managing scalability and optimizing costs in AWS.
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Ensuring robust security measures and understanding AWS’s compliance frameworks.
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Completing a comprehensive project from design to implementation using AWS to solve real-world AI challenges.
Earn government-registered certification in AWS for AI Services
e-Certificate and e-Marksheet issued on successful completion.
