AI-050 Develop Generative AI Solutions with Azure OpenAI Service (AI-050) Active Learning

Volg de Develop Generative AI Solutions with Azure OpenAI Service en leer alles over Azure AI service.

Na afronding van deze training kun je onder andere:

• De basismodellen van Azure AI service herkennen
• Azure Open AI studio gebruiken
• Promts ontwerpen

Azure OpenAI Service provides access to OpenAI's powerful large language models such as GPT; the model behind the popular ChatGPT service. These models enable various natural language processing (NLP) solutions to understand, converse, and generate content. Users can access the service through REST APIs, SDKs, and Azure OpenAI Studio. In this course, you'll learn how to provision Azure OpenAI service, deploy models, and use them in generative AI applications.

Lesmethode

Bij Master IT train je met onze unieke lesmethode Active Learning, hiermee leer je aantoonbaar effectiever!

Wij zjn er namelijk van overtuigd dat je slimmer en met meer plezier leert als je actief met je lesstof omgaat. Onze klassen zijn gevuld met maximaal 8 cursisten. Hierbij luister je niet passief naar een trainer, maar ga je interactief en 1-op-1 met de trainer aan de slag om ervoor te zorgen dat jouw leerdoelen behaald worden. De theorie maak je je zoveel mogelijk zelf eigen, de nadruk van de begeleiding ligt op het begrijpen en toepassen van die theorie in de praktijk. Zo leer je alleen datgene wat je echt nodig hebt.

• Je bepaalt zelf je leertempo.
• De trainer coacht je bij het definiëren van jouw leertraject.
• Je onthoudt en begrijpt je nieuwe kennis beter.
• Alles draait om toepassing van de stof in jouw praktijk.

Om alle beschikbare trainingsdata in te zien, bekijk dan onze eigen website

Doelgroep

The audience for this course includes software developers and data scientists who need to use large language models for generative AI. Some programming experience is recommended, but the course will be valuable to anyone seeking to understand how the Azure OpenAI service can be used to implement generative AI solutions.

Job role: AI Engineer, Data Scientist

The audience for this course includes software developers and data scientists who need to use large language models for generative AI. Some programming experience is recommended, but the course will be valuable to anyone seeking to understand how the Azure OpenAI service can be used to implement generative AI solutions.

Job role: AI Engineer, Data Scientist

Voorkennis

Before starting this learning path, you should already have:

Familiarity with Azure and the Azure portal.

Experience programming with C# or Python. If you have no previous programming experience, we recommend you complete the Take your first steps with C# or Take your first steps with Python learning path before taking this course.

Before starting this learning path, you should already have:

Familiarity with Azure and the Azure portal.

Experience programming with C# or Python. If you have no previous programming experience, we recommend you complete the Take your first steps with C# or Take your first steps with Python learning path before taking this course.

Onderdelen

MODULE: Get started with Azure OpenAI Service

• Create an Azure OpenAI Service resource and understand types of Azure OpenAI base models.
• Use the Azure OpenAI Studio, console, or REST API to deploy a base model and test it in the Studio's playgrounds.
• Generate completions to prompts and begin to manage model parameters.

MODULE: Apply prompt engineering with Azure OpenAI Service

• Understand the concept of prompt engineering and its role in optimizing Azure OpenAI models' performance.
• Know how to design and optimize prompts to better utilize AI models.
• Include clear instructions, request output composition, and use contextual content to improve the quality of the model's responses.

MODULE: Get started with Azure OpenAI Service

• Create an Azure OpenAI Service resource and understand types of Azure OpenAI base models.
• Use the Azure OpenAI Studio, console, or REST API to deploy a base model and test it in the Studio's playgrounds.
• Generate completions to prompts and begin to manage model parameters.

MODULE: Apply prompt engineering with Azure OpenAI Service

• Understand the concept of prompt engineering and its role in optimizing Azure OpenAI models' performance.
• Know how to design and optimize prompts to better utilize AI models.
• Include clear instructions, request output composition, and use contextual content to improve the quality of the model's responses.