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AWS Certified AI Practitioner
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Tuesday, June 23
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AI, ML and deep learning
Types of machine learning
The ML lifecycle
AWS managed AI services
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AI & ML Fundamentals: Core terminology, types of machine learning, the ML lifecycle, and where AWS AI/ML services fit (Domain 1 · 20%)
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Generative AI Fundamentals: Foundation models, tokens and embeddings, how generative AI works, its use cases and limits, and the AWS GenAI stack (Domain 2 · 24%)
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Applying Foundation Models: Prompt engineering, RAG, fine-tuning and customisation, choosing and evaluating models, and deploying generative AI on AWS (Domain 3 · 28%)
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Responsible AI: Bias and fairness, explainability and transparency, safety, and AWS tools for building responsible AI (Domain 4 · 14%)
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Security & Governance: Securing AI data and services with IAM and encryption, data governance, and compliance for AI solutions (Domain 5 · 14%)
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AI, ML and deep learning
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