Tijekom treninga usvojit ćete osnovna znanja o konceptima umjetne inteligencije (engl. Artificial Intelligence, AI) i servisima dostupnim u Microsoft Azureu koji se mogu koristiti za izradu AI rješenja.
Ovaj trening nije osmišljen na način da ćete njegovim pohađanjem postati podatkovni znanstvenici ili programeri softvera, već kako bi izgradio svijest o uobičajenim radnim opterećenjima umjetne inteligencije i sposobnost identificiranja Azure usluga koje ih podržavaju.
Što ćete naučiti
- Opisati umjetnu inteligenciju.
- Opisati osnovne principe strojnog učenja (engl. machine learning) na Azureu.
- Opisati značajke računalnog vida (engl. computer vision) na Azureu.
- Opisati značajke Natural Language Processing (NLP) na Azureu.
- Opisati generativnu umjetnu inteligenciju.
- Opisati Open AI značajke i usluge.
Kome je namijenjeno
- Svima zainteresiranima za usvajanje znanja i vještina o rješenjima koje umjetna inteligencija (engl. Artificial Intelligence, AI) omogućava i uslugama na Microsoft Azureu pomoću kojih je ta rješenja moguće stvoriti. AI inženjerima, podatkovnim znanstvenicima, programerima, arhitektima (engl. AI Engineer, Data Scientist, Developer, Solutions Architect).
Preduvjeti
- Općenita znanja iz IT područja. Neki od pojmova obuhvaćenih treningom zahtijevaju osnovno razumijevanje matematike, poput sposobnosti tumačenja grafova. Trening uključuje praktične aktivnosti koje uključuju rad s podacima i kodom, pa će poznavanje temeljnih programskih principa biti korisno. Znanje u Azureu i iskustvo u radu s Azureom nije potrebno.
Nastavni plan
Pregledaj
- Module 1: Fundamental AI Concepts With AI, we can build solutions that seemed like science fiction a short time ago; enabling incredible advances in health care, financial management, environmental protection, and other areas to make a better world for everyone. After completing this module, students will be able to:
- Identify kinds of solutions AI can make possible and considerations for responsible AI practices
- Describe core concepts of machine learning
- Identify different types of machine learning
- Describe considerations for training and evaluating machine learning models
- Describe core concepts of deep learning
- Use automated machine learning in Azure Machine Learning service
- Understand applications Azure AI services can be used to build
- Understand how to access Azure AI services in the Azure portal
- Understand how to use Azure AI services keys and endpoint for authentication
- Create and use an Azure AI services resource in a Content Safety Studio setting
- Use the Azure AI Vision service to analyze images
- Use Azure AI Face service to detect and analyze faces in images
- Use Azure AI Language for text analysis
- Understand how to use Azure AI Language and Azure AI Bot Service to create a bot
- Learn what conversational language understanding is
- Learn about key features, such as intents and utterances
- Build and publish a natural-language machine-learning model
- Learn about speech recognition and synthesis
- Learn how to use Azure AI Speech
- Use the prebuilt receipt processing capabilities of Azure AI Document Intelligence
- Explore Azure Cognitive Search
- Create an Azure Cognitive Search index
- Import data to the index
- Query the Azure Cognitive Search index
- Understand generative AI's place in the development of artificial intelligence
- Understand large language models and their role in intelligent applications
- Describe how Azure OpenAI supports intelligent application creation
- Describe examples of copilots and good prompts
- Describe Azure OpenAI workloads and access the Azure OpenAI Service
- Understand generative AI models
- Understand Azure OpenAI's language, code, and image capabilities
- Understand Azure OpenAI's responsible AI practices and limited access policies
- Describe an overall process for responsible generative AI solution development
- Identify and prioritize potential harms relevant to a generative AI solution
- Measure the presence of harms in a generative AI solution
- Mitigate harms in a generative AI solution
- Prepare to deploy and operate a generative AI solution responsibly
Za koji certifikat te priprema
- Certifikacijski ispit: Exam AI-900: Microsoft Azure AI Fundamentals
- Certifikat: Microsoft Certified: Azure AI Fundamentals