The course starts with a detailed introduction to Azure AI Studio, covering its architecture, features, and benefits for AI development. Learners set up their environment by creating Azure accounts, projects, and managing resources to build a solid foundation within the Azure ecosystem. Next, the focus shifts to core skills like model deployment, working with chat playgrounds, and using retrieval augmented generation for data indexing. The course offers in-depth training on the Prompt Flow Builder, showing how to create complex AI workflows with multiple LLM calls, API integrations, and Python functions. Advanced AI services such as vision, speech, and document intelligence are explored through practical use cases like receipt scanning and multimodal data processing. In the final part, learners deploy AI solutions at scale, integrating Azure AI endpoints with Microsoft Power Automate and Teams, while managing deployments for performance and cost efficiency. The course concludes with resource cleanup and guidance for further learning, preparing professionals to build intelligent, scalable, and automated AI applications using Azure AI Studio.