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

Large Language Model Operations (LLMOps) Specialization, Master Large Language Model Operations. Develop expertise in deploying, managing, and optimizing large language models across various platforms including Azure, AWS, Databricks, local infrastructure, and open source solutions through hands-on projects.
Master the world of Large Language Models through this comprehensive specialization from Coursera and Duke University, a top Data Science and AI program. Dive into topics ranging from generative AI techniques to open source LLM management across various platforms such as Azure, AWS, Databricks, local infrastructure, and beyond. Through immersive projects and best practices, gain hands-on experience in designing, deploying, and scaling powerful language models tailored for diverse applications. Showcase your newly acquired LLM management skills by tackling real-world challenges and building your own portfolio as a proficient LLMOps professional preparing you for roles such as Machine Learning Engineer, DevOps Engineer, Cloud Architect, AI Infrastructure Specialist, or LLMOps Consultant.
Through over 20 hands-on coding projects like deploying large language models on Azure and AWS clouds or services such as Databricks, utilizing the Azure AI Service for building applications, creating powerful prompts with LLM frameworks, running local LLM models using external APIs and cloud services, and constructing a chatbot based on personal data with vector databases, learners will acquire authentic, portfolio-ready experience in deploying, managing, and optimizing large language models. These projects are designed by experts at leading institutions to help professionals tackle real-world LLMOps challenges across various platforms and applications.
What you’ll learn
- Azure Databricks
- Learn to utilize Generative AI for automation.
- Develop Generative AI software solutions.
- Build solutions with Prompt Engineering to enhance Generative AI output.
- 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)
Specificatoin of Large Language Model Operations (LLMOps) Specialization
- Publisher : Coursera
- Teacher : Derek Wales
- Language : English
- Level : Beginner
- Number of Course : 6
- Duration : 5 months at 10 hours a week
Content of Large Language Model Operations (LLMOps) Specialization
Requirements
- Beginner programming experience in any language. Familiarity with Linux, command line interfaces, or cloud services helpful but not required.
Pictures
Sample Clip
Installation Guide
Extract the files and watch with your favorite player
Subtitle : English
Quality: 720p
Download Links
Introduction to Generative AI
Operationalizing LLMs on Azure
Advanced Data Engineering
GenAI and LLMs on AWS
Databricks to Local LLMs
Open Source LLMOps Solutions
File size
3.26 GB