AI - 103 : Develop Generative AI Solutions with Azure Open AI Service Training

AI - 103 : Develop Generative AI Solutions with Azure Open AI Service

AI-103: Develop Generative AI Solutions with Azure OpenAI Service is designed to educate learners on leveraging the Azure OpenAI Service for creating advanced AI models that can generate human-like text, code, and images. Throughout the course, participants will gain a deep understanding of Azure OpenAI workloads, learn to deploy and manage AI models via Azure OpenAI Studio, console, or REST API, and discover how to integrate these models into their own applications to solve complex problems. Additionally, the course delves into prompt engineering to enhance the performance of AI models and teaches best practices in Responsible AI. By mastering these skills, learners will be equipped to innovate in various domains using generative AI, ensuring that they can create cutting-edge AI solutions that are ethical and effective.

Audience Profile:

This course is designed for software developers and data scientists interested in utilizing large language models for generative AI. While some programming experience is recommended, the course provides valuable insights into implementing generative AI solutions using the Azure OpenAI service.

Prerequisites:

Familiarity with Azure and the Azure portal.
Experience programming with C# or Python. If you lack programming experience, it is recommended to complete introductory courses in C# or Python beforehand.

Course Outline:

Module 1: Introduction to Azure OpenAI Service

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

Module 2: 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 3: Build Natural Language Solutions with Azure OpenAI Service

Integrate Azure OpenAI into your application
Differentiate between different endpoints available to your application
Generate completions to prompts using the REST API and language-specific SDKs

Module 4: 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

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Guaranteed to run classes as per your convenient time zone

Industry experienced & certified trainers

Query Handling session by technical expert after 2 month completion of training

Career path counselling

Custom tailored training as per the requirement

Exam assistance

Exam Mock papers

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Download Course Contents

Audience Profile:

Prerequisites:

Familiarity with Azure and the Azure portal.
Experience programming with C# or Python. If you lack programming experience, it is recommended to complete introductory courses in C# or Python beforehand.

Course Outline:

Module 1: Introduction to Azure OpenAI Service

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

Module 2: 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 3: Build Natural Language Solutions with Azure OpenAI Service

Integrate Azure OpenAI into your application
Differentiate between different endpoints available to your application
Generate completions to prompts using the REST API and language-specific SDKs

Module 4: 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

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