Build AWS CodePipeline Project Using Amazon SageMaker
This solution demonstrates the deployment of AWS Code Services (e.g., AWS CodePipeline, AWS CodeBuild, Amazon CodeGuru Security, AWS CodeArtifact) to orchestrate secure access to external package repositories from an Amazon SageMaker data science environment configured with multi-layer security.
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Link: github.com/aws-samples/aws-external-package-security
What's Covered in this Course?
The "AI Ecosystem for Absolute Beginners" course is designed to accommodate learners of all levels, from beginners to experienced professionals looking to explore the world of Artificial Intelligence. Acting as a foundational pillar, this course facilitates your journey into the AI ecosystem. Starting with the basics of AI, the course guides you through the lifecycle of AI applications and essential concepts. It also covers the basics of Machine Learning, Deep Learning, and Generative AI, supported by practical hands-on demos using AWS services such as Rekognition, Forecast, Comprehend, and Bedrock. Additionally, it also explores prompt engineering, featuring a comprehensive hands-on demonstration with ChatGPT, concluding with a capstone project focused on Generative AI.
Whether you're new to AI or aiming to deepen your understanding, this course is tailored to meet your needs.
What is Artificial Intelligence (AI)?
Artificial Intelligence (AI) is a revolutionary technology that enables machines to mimic human-like behavior. In today's world, AI powers virtual assistants, autonomous vehicles, and personalised recommendations, transforming industries from healthcare to finance. By analysing large datasets and identifying patterns, AI algorithms continuously improve their performance, driving innovation and reshaping the way we work and live.
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