AI Developer in a Day

Challenge 1 

• Provisioning Azure OpenAI Resources 
• Creating an Azure OpenAI resource 
• Create deployment models 
• Embeddings 
• Chat 
• ChatCompletion
• Test the models in the Playground 
• Model Settings and Prompt Engineering 
• Temperature, Max Tokens, Engine, Stop Sequence 
• Prompt Structure: 
• System, User and AI Prompts
• Understanding API keys and endpoints
• Using the API in in Postman & cURL 

Challenge 2 

• Introduction to Azure OpenAI SDKs 
• Overview of available SDKs 
• Javascript embedded demo 
• Integrating the C# SDK – demos for AI-050 have a c# and Python option 
• Integrating the Python SDK – demos for AI-050 have a c# and Python option 

Challenge 3 

• Building a Simple ReactJS Application with Azure OpenAI 
• Setting up a ReactJS project 
• Integrating the Azure OpenAI JavaScript SDK 
• Creating user interface 
• Testing and debugging 

Challenge 4 

• Building a Simple ASP.NET Core Application with Azure OpenAI 
• Setting up an ASP.NET Core project 
• Integrating the Azure OpenAI C# SDK 
• Developing AI-powered server-side logic 
• Testing and debugging 
• Docker image creation 

Challenge 5 

• Create an Azure Container Registry (ACR) instance. 
• Create an Azure App Service instance to host container 
• Upload container to ACR 
• Deploy container to App Service 

Challenge 6 

• Create a new project in Azure DevOps 
• Set up code repository 
• Create a new build pipeline. 
• Use the existing Dockerfile to define the build process. 
• Add tasks to build and push the Docker image to the Azure Container Registry. 
• Trigger the build 

Challenge 7 

• Create a new release pipeline. 
• Add an artifact that points to the build pipeline’s output. 
• Define the deployment process. 
• Use the deployment center 
• Trigger the release 
• Validate deployment