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

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

Specialization: Large Language Model Operations (LLMOps)

Requirements

  • Beginner programming experience in any language. Familiarity with Linux, command line interfaces, or cloud services is helpful, but not required.

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Specialization: Large Language Model Operations (LLMOps)

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Installation instructions

Extract the files and watch on your favorite player

Subtitles: English

Quality: 720p

Download links

Introduction to Generative AI

Download part 1 – 1 GB

Download Part 2 – 21 MB

Implementing LLM programs in Azure

Download – 656 MB

Advanced Data Engineering

Download – 561 MB

GenAI and LLM on AWS

Download – 291 MB

Data blocks for local LLMs

Download – 385 MB

Open Source LLMOps Solutions

Download – 403 MB

Password file(s): free download software

file size

3.26 GB

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