Download Coursera – Large Language Model Operations (LLMOps) Specialization 2024-4

Description

Large Language Model Operations (LLMOps) Specialization The Large Language Model Operations (LLMOps) Specialization is published by Coursera Academy. Develop expertise in deploying, managing, and optimizing large language models across multiple platforms including Azure, AWS, Databricks, on-premises infrastructure, and open source solutions through hands-on projects. Master the world of big language models through this comprehensive expertise from Coursera and Duke University, a premier data science and artificial intelligence program. Cover topics from generative AI techniques to LLM open source management across platforms such as Azure, AWS, Databricks, on-premise infrastructure and beyond. Through immersive projects and best practices, gain hands-on experience in designing, deploying, and scaling powerful language models for a variety of applications. Showcase your newly acquired LLM management skills by tackling real-world challenges and building a portfolio as a skilled LLMOps professional that will position you for roles such as Machine Learning Engineer, DevOps Engineer, Cloud Architect, AI Infrastructure Specialist or The LLMOps advisor prepares.

Through more than 20 hands-on coding projects such as deploying large language models to Azure and AWS clouds or services such as Databricks, using Azure AI services to build applications, creating powerful notifications with LLM frameworks, implementing local LLM models using external APIs, and Cloud services. and building a chatbot based on personal data with vector databases, learners will gain authentic, portfolio-ready experience in deploying, managing, and optimizing large language models. These projects are designed by experts from leading institutions to help professionals tackle real-world LLMOps challenges across platforms and applications.

What you will learn

Azure Databricks
Learn to use generative AI for automation.
Develop productive artificial intelligence software solutions.
Build solutions with Prompt Engineering to increase AI output.
Become proficient in using Azure to deploy and manage Large Language Models (LLM).
Develop advanced query building skills to optimize interaction with LLMs in an Azure environment using the Semantic Kernel.
Gaining practical experience in implementing patterns and deploying programs with Retrieval Augmented Generation (RAG)