
Master Azure AI Studio to build no/low-code ai apps, including Copilot-powered tools, workflows, and data-driven solutions, deploying endpoints and integrating with teams.
Leave a rating to help the instructor improve and support the platform; engage with the content, ask questions, and have fun as you dive into the course.
Create an azure ai studio hub project to group resources for ai training. Wait 5 to 10 minutes for initialization and verify connections to azure ai services and cognitive search.
Master the pay-as-you-go cleanup by selecting your initial Azure resource group (Azure AI Studio Course) and deleting every resource to prevent ongoing charges and data loss.
Use the chat playground to engineer prompts and generate code you can copy into Python, Java, or C# projects via view code, then deploy safely with environment variables.
Export and import your chat playground settings to preserve your prompt. Save as JSON or a prompt file, then re-import to restore deployment name, system prompt, and max response length.
Set up a prompt flow in Azure AI Studio to build no-code LLM apps by sequencing input, output, and modular elements, with serverless compute and idle shutdown.
Orchestrate a prompt flow of parallel llm calls to generate a SWOT analysis, deriving strengths, weaknesses, opportunities, and threats, then summarize into a concise paragraph.
Learn to integrate index lookup in prompt flow in Azure AI Studio 2. Explore using multiple documents, parsing relevant text, and returning the top three results to answer questions.
Integrate Python functions into prompt flows to extend LLM capabilities for calculations, string manipulations, and data access. Build apps that use Python blocks to reverse strings and connect to services.
Learn to analyze data with LLMs and Python in prompt flow on Azure AI Studio, loading a CSV from Azure Blob via SAS URL and generating pandas-driven code for insights.
Explore how to perform web search with the SERP API in Prompt Flow within Azure AI Studio 2, retrieving up-to-date snippets and knowledge graph results to answer questions.
Compare standard flows and chat flows, focusing on chat history that provides context across turns, and learn how to convert a chat flow to a standard flow by removing history.
Explore multimodal AI workflows by integrating Azure AI Studio's services, speech, vision, and document intelligence, with Copilot and prompt flows in the AI hub playground.
Save receipt data to Airtable by inserting date, merchant name, and total into table ten, using the API key, base ID, and table name, via document intelligence.
Consume an Azure AI Studio endpoint in Python using the endpoint URL and API key, test with a prompt, and run from a Jupyter Notebook.
Test the Azure AI Studio endpoint in a Microsoft Teams channel with a prompt flow, then parse the response with Power Automate to return only the answer from data source.
Learn to monitor deployed Azure AI Studio endpoints by checking requests per minute, latency, error rates, and logs, then delete deployments and verify deletion to stop charges.
Master Azure AI Studio by completing the prompt flow to build AI apps, workflows, solutions, and copilots, then explore Copilot for Microsoft 365, Copilot Studio, Mind Studio, and no-code platforms.
Leave a rating and provide feedback to help improve the course. Access your certificate at the top under certificate to demonstrate your Azure AI Studio expertise.
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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 needs
Integrate 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 RAG
Add 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 Studio
Integrate AI models: Seamlessly combine various AI models to create powerful, multi-functional applications
Add in AI services to make your app multimodal: Enhance your applications with vision, speech, language capabilities, and document intelligence for a rich user experience
Build full end-to-end AI apps: Develop complete AI applications from concept to deployment, covering all aspects of the AI app build lifecycle
Productivity 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 more
Why 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 more
Fully 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 you
Step 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 feature
Teacher 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 video
Course overview
Introduction - learn what this course is about, the roadmap, and how to succeed
Environment Setup - set up your Azure environment, with an AI Studio Hub and an AI Project
Model Deployment - deploy LLMs, from OpenAI, to Meta, to open-sourced models from Microsoft's marketplace
Chat Playground - integrate LLMs into chat playground, add custom instructions, and deploy them as apps and endpoints
Data 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 workflow
AI Services (Multimodal) - add AI services, like vision, speech, and document intelligence
Deploy and Monitor - deploy your AI to an endpoint and consume it via Teams, Power Automate, and more
Full Complete AI Apps - build full end-to-end AI copilots and apps
Conclusion and Certificate - earn your online certification, and read about next steps
If 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.