Descriptions
Specialization in Large Language Model Operations (LLMOps), master operations with large language models. Develop expertise in deploying, managing, and optimizing large language models on a variety of platforms including Azure, AWS, Databricks, on-premises infrastructure, and open source solutions through hands-on projects.
Master the world of large language models with this comprehensive specialization from Coursera and Duke University’s leading data science and artificial intelligence program. Dive into topics ranging from generative AI techniques to managing open source LLMs on various platforms such as Azure, AWS, Databricks, on-premises infrastructure, etc. Through immersive projects and best practices, you will gain hands-on experience in design, deployment and scaling powerful language models tailored to different applications. Showcase your newly acquired LLM management skills by solving real-world problems and building your own portfolio as an experienced LLMOps professional, preparing you for roles such as Machine Learning Engineer, DevOps Engineer, Cloud Architect, AI Infrastructure Specialist, or LLMOps Consultant.
With over 20 hands-on coding projects, such as deploying large language models to the Azure and AWS clouds or services like Databricks, using Azure AI service to build applications, building powerful hints using LLM frameworks, running local LLM models using external APIs and cloud services. , and building a personal data-driven chatbot with vector databases, students will gain authentic, portfolio-ready experience deploying, managing, and optimizing large language models. These projects are developed by experts from leading institutions to help professionals solve real-world LLMOps problems across a variety of platforms and applications.
What will you learn
- Azure Data Blocks
- Learn to use generative AI for automation.
- Develop software solutions for generative artificial intelligence.
- Build solutions with Prompt Engineering to improve generative AI performance.
- Gain skills in using Azure to deploy and manage Large Language Models (LLMs).
- Develop advanced querying skills using the semantic core to optimize your LLM experience in the Azure environment.
- Gain hands-on experience implementing patterns and deploying applications using Retrivial Augmented Generation (RAG).
Large Language Model Operations (LLMOps) Specialization Specification
- Publisher: Coursera
- Teacher: Derek Wales
- English language
- Level: Beginner
- Number of courses: 6
- Duration: 5 months, 10 hours per week.
Contents of the Large Language Model Operations (LLMOps) specialization
Requirements
- Beginner programming experience in any language. Familiarity with Linux, command line interfaces, or cloud services is helpful, but not required.
Images
Sample clip
Installation instructions
Extract the files and watch on your favorite player
Subtitles: English
Quality: 720p
Download links
Introduction to Generative AI
Implementing LLM programs in Azure
Advanced Data Engineering
GenAI and LLM on AWS
Data blocks for local LLMs
Open Source LLMOps Solutions
Password file(s): free download software
file size
3.26 GB