Azure AI Studio - Complete Guide to Azure AI Studio Copilot

Azure AI Studio Masterclass | Build Gen AI apps and copilots | Automate tasks with Gen AI | RAG | Prompt Flow Copilot

What you'll learn
Master Azure AI Studio to build and deploy sophisticated AI solutions, enhancing productivity and innovation in your organizations
Create customized AI models trained on your own data sources (RAG), including documents, databases, and web content, to address specific business challenges
Integrate advanced AI services into applications with Azure AI Studio, making them multimodal with capabilities in vision, speech, and document intelligence
Develop end-to-end AI applications from scratch from Azure AI Studio
Integrate AI solutions with existing enterprise systems and workflows using APIs and custom functions with Azure AI Studio
Implement MLOps practices in Azure AI Studio to streamline the lifecycle management of AI models, from development to production and monitoring
Learn everything you need to know about Azure AI Studio, progressing from beginner to expert level throughout the course
Orchestrate prompt flows together to create copilots and apps, that bring together LLMs, data indexing (RAG), custom functions, multimodal services, and more

Requirements
Azure account
Familiarity with Python is not necessary, but would help with certain aspects of this course

Description
You've likely heard about ChatGPT and Microsoft 365 Copilot. But did you know that you can create your own sophisticated AI solutions through Azure AI Studio? With Azure AI Studio, you can build your own AI-powered applications, copilots, workflows, and more. These apps can be trained on your knowledge base and perform complex tasks on your behalf. Think of Azure AI Studio like Copilot Studio, but on beast mode. Azure AI Studio gives you access to a collection of advanced AI models (LLMs, vision, speech, document intelligence, and much more). It's a robust platform to build sophisticated AI applications and copilots.This course is all about teaching you to become an expert in Azure AI Studio. Learn from more than 7 hours of relevant instructional video content, with the only course that will teach you how to build AI apps and copilots with Azure AI Studio.What is Azure AI Studio?Azure AI Studio is Microsoft's end-to-end platform for building and deploying AI solutions in the cloud. It provides a unified environment where data scientists, developers, and business professionals can collaborate to create AI-powered applications using drag-and-drop interfaces, automated machine learning, and advanced AI services.What can you do in Azure AI Studio?Azure AI Studio is comprised of two things:A library of AI models and services: Azure AI Studio contains a marketplace of LLMs, from OpenAI to Meta to open source models. It also contains APIs for advanced AI services, like vision, speech, and document intelligence (i.e., reading receipts). A platform to build AI apps: Azure AI studio has everything you need to build the most sophisticated AI apps and solutions, like orchestrations, endpoints, custom functions, data indexing, and more.What is this course all about?This comprehensive course teaches you how to leverage Azure AI Studio to build, deploy, and manage AI solutions at scale. You'll learn how to harness the power of Azure's AI services to create intelligent applications, process natural language, analyze images, and develop custom AI and Generative AI focused solutions. We cover every aspect of Azure AI Studio, including AI models, AI services, deployments, prompt flows, data indexing (RAG), and more. The goal of this course is to make you a master at Azure AI Studio.You will create sophisticated AI apps and workflows in this course including apps that extract and save text from receipts, and a workflow that does company research for you.What will you learn?Build sophisticated AI apps, copilots, and solutions: Create advanced AI-powered assistants and applications tailored to specific business needsIntegrate your own knowledge: Learn how to incorporate your unique data in the form of PDFs, TXTs, Excel files, and more into AI models using in-built RAGAdd custom functions with Python and APIs: Extend the capabilities of your AI solutions with custom code and third-party integrations, fully integrated in Azure AI StudioIntegrate AI models: Seamlessly combine various AI models to create powerful, multi-functional applicationsAdd in AI services to make your app multimodal: Enhance your applications with vision, speech, language capabilities, and document intelligence for a rich user experienceBuild full end-to-end AI apps: Develop complete AI applications from concept to deployment, covering all aspects of the AI app build lifecycleProductivity superstar - Building AI apps is a productivity game changer, as it enables you to automate workflows or build personalized copilots that can leverage Generative AI to recall knowledge, call actions, perform research, and so much moreWhy choose this course?Complete guide - this is the 100% start to finish, zero to hero, basic to advanced guide on Azure AI Studio. There is no other course like it that teaches you everything from start to finish. It contains over 7 hours of instructional content!Structured to succeed - this course is structured to help you succeed. We go through two each feature in-depth and then apply it to build our own AI apps, that leverage data, AI services like document intelligence, and much moreFully instructional - we not only go through important concepts, but also apply them as we are building our application so that we can solidify them. This is not only a walkthrough of the all the features and theoretical concepts, but a course that actually uses real-life examples and integrates workflows with youStep by step - we go through every single concept one-by-one. This improves your probabilities of learning Azure AI Studio rather than going haphazardly through each featureTeacher response - if there's anything else you would like to learn, or if there's something you cannot figure out, I'm here for you! Look at the ways to reach out videoCourse overviewIntroduction - learn what this course is about, the roadmap, and how to succeedEnvironment Setup - set up your Azure environment, with an AI Studio Hub and an AI ProjectModel Deployment - deploy LLMs, from OpenAI, to Meta, to open-sourced models from Microsoft's marketplaceChat Playground - integrate LLMs into chat playground, add custom instructions, and deploy them as apps and endpointsData and Indexing (RAG) - add data and knowledge into your AI apps through retrieval augmented generation (RAG)Prompt Flow Builder - orchestrate LLMs, data indexing, custom function, and more together into one workflowAI Services (Multimodal) - add AI services, like vision, speech, and document intelligenceDeploy and Monitor - deploy your AI to an endpoint and consume it via Teams, Power Automate, and moreFull Complete AI Apps - build full end-to-end AI copilots and apps Conclusion and Certificate - earn your online certification, and read about next stepsIf you want to learn how to build awesome AI apps, solutions, copilots, and workflows using Azure AI Studio, then this is the course for you. We're looking forward to having you in the course and hope you earn the certificate.

Who this course is for:
Developers and professionals who want to master Azure AI Studio and build advanced AI solutions, Business professionals aiming to leverage AI to drive innovation and efficiency in their organizations, Project managers who need to understand AI capabilities for strategic planning and implementation and who want to build AI tool, Entrepreneurs and startups looking to incorporate AI into their products or services, Students and academics interested in practical, industry-relevant AI skills, Anyone who wants to use AI to enhance productivity and decision-making in their work, Professionals in fields like healthcare, finance, or manufacturing who want to apply AI to industry-specific challenges, IT decision-makers evaluating AI platforms for enterprise use, Individuals interested in building and deploying their own AI models and applications, Data scientists and analysts looking to expand their skills in cloud-based AI and machine learning