AI-300: Operationalize machine learning and generative AI solutions

The AI-300: Operationalize Machine Learning and Generative AI Solutions course is designed for data scientists, AI engineers, and machine learning professionals who want to master the deployment and management of AI solutions in production environments. This comprehensive training focuses on implementing robust, scalable machine learning operations (MLOps) practices using Azure AI services and tools, ensuring your AI models transition seamlessly from development to production. Throughout this course, you'll learn to design and implement end-to-end machine learning pipelines, deploy and monitor ML models at scale, and integrate generative AI capabilities into enterprise applications. Key topics include Azure Machine Learning workspace configuration, model registration and versioning, endpoint deployment strategies, automated retraining pipelines, and responsible AI implementation. You'll also explore how to operationalize generative AI solutions, including prompt engineering workflows, content filtering, and performance optimization. This training is ideal for professionals preparing for Azure AI certification or those responsible for managing production AI systems. You'll gain hands-on experience with Azure Machine Learning, Azure OpenAI Service, and related tools through practical exercises and real-world scenarios. By completing this course, you'll be equipped to implement monitoring solutions, troubleshoot deployment issues, optimize model performance, and ensure your AI solutions meet enterprise security and compliance requirements while delivering business value at scale. Duration: 4 Days