Azure Copilot - The Complete Guide

Understand the foundations of ChatGPT and how Azure Copilot is built on ChatGPT, a service created by OpenAI, to grasp how Copilot works.

Explore how ChatGPT functions as an AI chatbot and a large language model, relying on prompts and completions, billions of parameters, web-text training, and human feedback to generate responses.

Trace the timeline of OpenAI's GPT models from GPT-1 to ChatGPT, including web text training, Dall-E and Codex, Azure collaboration, and Microsoft investment.

Sign up and sign in to ChatGPT, customize settings and theme, manage data and chat history, and explore prompts, responses, and limitations using practical examples.

Practice crafting prompts with ChatGPT, translating text, and summarizing films, while learning to regenerate responses, edit prompts, and manage multiple chats for practical prompt engineering.

See how ChatGPT maintains context across prompts to have natural conversations, plan itineraries, adjust for winter, extend to three days, and break down trip costs.

Explore tokens as numeric representations of text, where a word may become multiple tokens, and the 4096 token limit. See token-based billing in Azure and how to use OpenAI's tokenizer.

Discover Azure Copilot, the AI assistant for Azure, built on ChatGPT four, that gains insights in complex environments using simple English and uses context awareness to respond in the portal.

Understand grounding and RAG as the cornerstones that tailor Azure Copilot to your environment by injecting use case specific knowledge and retrieving external information.

Explore how Azure Copilot acts as the orchestrator between the user, Azure, and ChatGPT, retrieving resource and cost data via the Azure Resource Manager, cost management, and Service Health API.

Azure Copilot runs under the logged-in user's permissions, always asks for confirmation, and, being tenant-wide across all subscriptions, cannot be limited to a single subscription, implying no security risk.

Explore the cost and SLA expectations for Azure Copilot, noting free preview usage with no SLA and potential downtime. When it reaches general availability, expect an SLA and likely pricing.

Explore Azure Copilot in the portal, switch to dark theme, revert to light theme as context is remembered, and open the virtual machines page.

Learn how Azure Copilot generates and runs Azure Resource Graph queries to retrieve resource information and format results, including exposed storage accounts and stopped virtual machines.

Fetch azure service health and outages with copilot, checking regional and service status such as west europe and cosmos db, and review post-incident details via tracking IDs.

Azure Copilot analyzes and optimizes cloud costs, showing six-month cost breakdowns and identifying the most expensive resources, then guides you to Azure cost advisor for reduction recommendations.

azure copilot guides you through deploying virtual machines with high availability by using multi-zone deployments, optional load balancing, and size selection for web server scenarios.

Plan resource deployment with copilot, defining infrastructure and generating arm templates for a dotnet 8.0 site, and compare app service with sql vs aks options.

Azure API management acts as a central gateway unifying access to diverse backend apps, with API gateway, Azure portal, and developer portal, enforcing security, rate limits, quotas, caching, and policies.

Explore authoring api management policies with Copilot, including inbound rate limiting and token-based authorization, using a sample echo api and inbound policies to create and explain policies in apim.

Copilot analyzes storage accounts and provides actionable steps to make them more secure, including data resiliency checks, zone-redundant storage, and restricting public access.

Leverage Copilot to generate and update Azure CLI scripts for deploying resources, including resource groups, SQL servers, and databases, adjust vCPUs in context, and explain scripts when needed.

Explore Azure Kubernetes Services (AKS) as a managed Kubernetes on Azure; deploy containers, manage them with Kubernetes tools, choose the instance size, and pay only for the virtual machines.

Explore containers as a lightweight packaging model that enables predictable deployment and high density, and contrast them with virtual machines and shared host os.

Learn Docker architecture, including the daemon, images, containers, and registries, and see how Docker files customize images for deployment on public and private registries like Docker Hub and ECR.

Tackle deployment, scalability, monitoring, routing, and high availability as container counts grow, and discover how container management tools solve the challenges of a multi-container system with the most popular solution.

Kubernetes is the leading container management platform that uses pods as the atomic unit to wrap containers and expose them via services for public access, load balancing, and high availability.