Building AI Applications with Azure and Python

Artificial intelligence is transforming how we build software, but moving from local code to scalable cloud applications can feel overwhelming. This course bridges that gap by introducing you to the essentials of AI development using Python and cloud-based services. You will start with the core concepts of machine learning, algorithms, and data preparation before transitioning to the cloud. By reading through practical explanations and code examples, you will gain the confidence to implement, evaluate, and deploy intelligent models that solve real-world problems. What you'll learn: - Understand foundational artificial intelligence concepts, machine learning types, and common algorithms. - Write clean Python code using essential data science and scientific ecosystem packages. - Configure and navigate Azure machine learning tools to manage data and train models. - Apply modern generative AI and prompt engineering principles using Azure OpenAI services. - Deploy trained models as cloud services ready to be integrated into applications. - Practice standardized data analytics workflows to ensure robust and reproducible results. The course begins with essential terminology and local Python workflows before guiding you step-by-step through cloud-scale AI integration and modern deployment strategies. Designed for aspiring developers, data enthusiasts, and beginners curious about cloud AI, this course requires no prior experience with machine learning or cloud platforms. Start reading today to begin your journey into cloud-based AI development.