Enroll Course: https://www.coursera.org/learn/llmops-azure
Are you looking to harness the immense power of Large Language Models (LLMs) and deploy them effectively on the Azure cloud platform? Look no further than Coursera’s “Operationalizing LLMs on Azure” course. This program is a fantastic resource for anyone, from beginners to intermediate learners, including data scientists, AI enthusiasts, and professionals eager to leverage Azure’s robust AI capabilities.
Designed for those with a foundational understanding of programming and Azure basics, this four-week course provides a structured and in-depth exploration of LLMs and their operationalization. The journey begins with an essential introduction to Azure’s AI services and the Azure portal. You’ll gain a solid understanding of what LLMs are, how they function, their inherent benefits and risks, and crucial strategies for responsible implementation. The initial week also covers discovering, evaluating, and deploying pre-trained LLMs within Azure, with a special focus on prompt engineering and data grounding for enhanced accuracy and safety.
The second week dives deeper into practical application, teaching you to leverage Azure Machine Learning for LLMs. This includes managing compute resources, GPU quotas, and model deployments, as well as exploring the Azure OpenAI Service. You’ll get hands-on experience deploying a model and utilizing its inference API via Python, a critical skill for any AI practitioner.
Moving into the third week, the course introduces the power of Semantic Kernel for crafting sophisticated LLM queries. You’ll learn to refine prompts, understand the impact of system prompts, and master advanced techniques for optimizing interactions with LLMs. This module is designed to elevate your ability to interact with LLMs effectively within the Azure ecosystem.
Finally, the course culminates in building an end-to-end LLM application. You’ll explore essential architectural patterns, delve into Retrieval-Augmented Generation (RAG), understand various Azure services, and learn how to automate deployments using GitHub Actions. The practical application involves implementing RAG with Azure Search and setting up GitHub Actions workflows to deploy a complete LLM application.
Overall, “Operationalizing LLMs on Azure” is a highly recommended course for its clear structure, practical examples, and comprehensive coverage of LLMOps on Azure. It equips learners with the knowledge and skills needed to confidently deploy and manage LLM-powered applications in a real-world setting.
Enroll Course: https://www.coursera.org/learn/llmops-azure