Generative AI Engineering with OpenAI API and AWS Models
About this course
Generative AI is the most in-demand skill in technology, but using it is different from building with it. This Specialization gives you the skills to design, build, and deploy production-grade AI systems — from your first OpenAI API call to enterprise-scale AWS architectures governed by responsible AI principles. Across three progressively advanced courses, you'll gain hands-on proficiency with modern AI engineering tools and frameworks. You'll configure the OpenAI platform and apply prompt engineering techniques, including zero-shot, few-shot, and grounding strategies. You'll build vision AI applications using DALL-E and CLIP, and implement advanced API capabilities — function calling, structured outputs, and batch processing — that separate prototype applications from scalable, production systems. You'll then architect Retrieval-Augmented Generation (RAG) pipelines and multi-step AI agents on AWS using Amazon Bedrock and vector databases. The Specialization closes with a responsible AI governance module covering bias mitigation, explainability, legal risk, and human-centered design using AWS tools — a competency now demanded by enterprises and regulators alongside technical proficiency. By the end, you'll have a portfolio of deployable AI applications: a text-based AI assistant, an image generation and captioning pipeline, and a full RAG system with a documented AI governance assessment.
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What you'll learn
- design and deploy generative AI systems
- configure and use the OpenAI API
- apply prompt engineering techniques
- build vision AI applications using DALL-E and CLIP
- implement API capabilities for scalable applications
- architect Retrieval-Augmented Generation (RAG) pipelines
- develop multi-step AI agents on AWS
- understand AI governance principles like bias mitigation and explainability
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