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With Generative AI on AWS, you’ll learn the generative AI project life cycle including use case definition, model selection, model fine-tuning, retrieval-augmented generation, reinforcement learning from human feedback, and model quantization, optimization, and deployment.

Data & analytics expert Matthew Richardson discusses the pitfalls of “throwing your data anywhere” and the importance of aligning your storage strategy with your data processing needs.
You will receive a calendar invite to the email address provided below for a 15-minute call with one of our team members to discuss your needs.