What will you learn in AWS Generative AI Applications Professional Certificate course
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Understand the fundamentals of Generative AI and large language models (LLMs).
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Build and deploy Generative AI applications using AWS services.
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Work with foundation models and APIs through AWS-native tools.
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Implement prompt engineering and model customization techniques.
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Integrate AI models into scalable cloud-based applications.
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Apply security, cost optimization, and responsible AI best practices.
Program Overview
Foundations of Generative AI
⏳ 3–4 weeks
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Learn how Generative AI and LLMs work conceptually.
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Understand key terms such as transformers, embeddings, and fine-tuning.
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Explore real-world Generative AI use cases.
Building AI Applications on AWS
⏳ 4–5 weeks
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Use AWS services to access and deploy foundation models.
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Integrate AI capabilities into web and enterprise applications.
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Understand APIs and cloud architecture for AI systems.
Prompt Engineering and Model Customization
⏳ 3–4 weeks
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Write effective prompts for different AI use cases.
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Explore techniques like few-shot learning and parameter tuning.
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Adapt models for business-specific tasks.
Deployment, Monitoring, and Responsible AI
⏳ 3–4 weeks
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Deploy AI applications at scale in the cloud.
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Monitor performance, usage, and cost.
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Apply ethical and responsible AI principles in production environments.
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Job Outlook
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Highly relevant for Cloud Engineers, AI Developers, and MLOps professionals.
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Growing demand for professionals who can deploy Generative AI applications in cloud environments.
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Valuable for roles such as AI Application Developer, Cloud AI Engineer, and Solutions Architect (AI-focused).
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Supports AWS certification pathways and advanced AI/cloud career tracks.
