Generative AI on Microsoft Azure: Building Intelligent Apps on Azure Cloud Infrastructure
with Conner Schiissler
Overview
With the hype cycle around Generative AI still going strong, companies are trying to figure out how to best leverage the technology to improve their business. Many are turning to Microsoft Azure to implement and build with the latest and greatest new features in AI/ML. With the complexity of the landscape in mind, this course provides you with the base set of skills required to be able to design, build, and deploy GenAI applications in an Azure environment.
Expert Conner Schiissler teaches you the essentials you need to know, from the basics of GenAI all the way to hosting the application in Azure. You will also look at building the infrastructure necessary to host applications built on great frameworks like LangChain! Follow along in this course to gain the skills required to start harnessing the power of Generative AI, and walk away with the capability to build your very own GenAI application in the Azure cloud.
What you'll learn and how to apply it
By the end of this course, you will be able to:
- Articulate Basic Generative AI Concepts
- Leverage Generative AI services in Azure
- Leverage LangChain to create a chatbot API
- Prepare documents to ground the LLM on your data
- Build a frontend to connect to our LangChain API and expose our generative AI chatbot
- Host the application in the cloud
This course is for you because
- You are a beginner technologist with some experience building cloud native applications and have dabbled with Generative AI in some capacity, even if it is just ChatGPT.
- You are a technologist who sees the promise in Generative AI and wants to learn how it can be leveraged in an enterprise setting by grounding it in your data and enabling exciting use cases.
Prerequisites
- Beginner Python
- Beginner Azure
- Basic understanding of LLMs (ie: used tools like ChatGPT)
- Access to the course’s GitHub repository
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