- Prompt Engineering
- OpenAI
- Responsible AI
- MLOps (Machine Learning Operations)
- LLM Application
- Microsoft Azure
- Application Programming Interface (API)
- Cloud Computing
- Large Language Modeling
- Scalability
- Application Deployment
- Python Programming
Operationalizing LLMs on Azure
Completed by Seshi Ammasani
March 3, 2024
10 hours (approximately)
Seshi Ammasani's account is verified. Coursera certifies their successful completion of Operationalizing LLMs on Azure
What you will learn
Gain proficiency in leveraging Azure for deploying and managing Large Language Models (LLMs).
Develop advanced query crafting skills using Semantic Kernel to optimize interactions with LLMs within the Azure environment.
Acquire hands-on experience in implementing patterns and deploying applications with Retrieval Augmented Generation (RAG)
Skills you will gain
