Building Custom Generative AI Solutions with Azure OpenAI

Organizations across the globe are looking for ways to harness the power of large language models while maintaining strict control over their proprietary data and infrastructure. This text-based course guides you through the foundational concepts and practical steps required to build and deploy your own custom GPT-style solutions using native cloud tools. You will understand how to leverage secure API endpoints, manage model prompts, and integrate custom data sources safely. By completing this course, you will transition from understanding basic generative AI concepts to confidently designing architecture for custom language model deployments. You will learn how to handle data ingestion, manage model parameters, and set up secure access controls for your applications. What you'll learn: - Understand the core architecture of generative pre-trained transformers and large language models - Configure secure endpoints using native cloud services and managed AI gateways - Implement retrieval-augmented generation (RAG) patterns to connect models to your private data sources - Design effective system prompts and apply prompt engineering best practices - Monitor model performance, token usage, and API latency for production readiness - Apply robust security protocols, data privacy measures, and content filtering controls This course begins with essential terminology, architectural foundations, and cloud setups before moving into hands-on configuration steps, prompt design, and data integration workflows. You will follow structured written explanations and inspect real-world configuration scripts designed to build your practical knowledge. This course is designed for software developers, system architects, and technology enthusiasts who are new to generative AI development and want to build secure, native cloud-hosted language model applications. No prior experience with AI modeling or deep learning is required, though a basic understanding of cloud environments and API concepts is helpful. Start reading today to build your own secure, custom generative AI solutions.