YoVDO

Implement Generative AI engineering with Azure Databricks

Offered By: Microsoft via Microsoft Learn

Tags

LangChain Courses Vector Search Courses Generative AI Courses Azure Databricks Courses Haystack Courses Retrieval Augmented Generation Courses LlamaIndex Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
  • Module 1: Get started with language models in Azure Databricks

    In this module, you learn how to:

    • Describe Generative AI.
    • Describe Large Language Models (LLMs).
    • Identify key components of LLM applications.
    • Use LLMs for Natural Language Processing (NLP) tasks.
  • Module 2: Implement Retrieval Augmented Generation (RAG) with Azure Databricks

    In this module, you learn how to:

    • Set up a RAG workflow.
    • Prepare your data for RAG.
    • Retrieve relevant documents with vector search.
    • Improve model accuracy by reranking your search results.
  • Module 3: Implement multi-stage reasoning in Azure Databricks

    In this module, you learn how to:

    • Identify the need for multi-stage reasoning systems.
    • Describe a multi-stage reasoning workflow.
    • Implement multi-stage reasoning with libraries like LangChain, LlamaIndex, Haystack, and the DSPy framework.

Syllabus

  • Module 1: Module 1: Get started with language models in Azure Databricks
    • Introduction
    • Understand Generative AI
    • Understand Large Language Models (LLMs)
    • Identify key components of LLM applications
    • Use LLMs for Natural Language Processing (NLP) tasks
    • Exercise - Explore language models
    • Knowledge check
    • Summary
  • Module 2: Module 2: Implement Retrieval Augmented Generation (RAG) with Azure Databricks
    • Introduction
    • Explore the main concepts of a RAG workflow
    • Prepare your data for RAG
    • Find relevant data with vector search
    • Rerank your retrieved results
    • Exercise - Set up RAG
    • Knowledge check
    • Summary
  • Module 3: Module 3: Implement multi-stage reasoning in Azure Databricks
    • Introduction
    • What are multi-stage reasoning systems?
    • Explore LangChain
    • Explore LlamaIndex
    • Explore Haystack
    • Explore the DSPy framework
    • Exercise - Implement multi-stage reasoning with LangChain
    • Knowledge check
    • Summary

Tags

Related Courses

Building a Queryable Journal with OpenAI, Markdown, and LlamaIndex
Samuel Chan via YouTube Building an AI Language Tutor with Pinecone, LlamaIndex, GPT-3, and BeautifulSoup
Samuel Chan via YouTube Locally-Hosted Offline LLM with LlamaIndex and OPT - Implementing Open-Source Instruction-Tuned Language Models
Samuel Chan via YouTube Understanding Embeddings in Large Language Models - LlamaIndex and Chroma DB
Samuel Chan via YouTube A Deep Dive Into Retrieval-Augmented Generation with LlamaIndex
Linux Foundation via YouTube