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AI-050: Develop Generative AI Solutions with Azure OpenAI Service Course Overview

AI-050: Develop Generative AI Solutions with Azure OpenAI Service Course Overview

The AI-050: Develop Generative AI Solutions with Azure OpenAI Service course 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.

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  • Live Online Training (Duration : 8 Hours)
  • Per Participant
  • Including Official Coursebook

♱ Excluding VAT/GST

Classroom Training price is on request

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Course Prerequisites

To ensure you are well-prepared and can make the most out of the AI-050: Develop Generative AI Solutions with Azure OpenAI Service course, the following minimum prerequisites are recommended:


  • Basic understanding of cloud computing services, especially Microsoft Azure.
  • Familiarity with Azure's core services, such as Azure Portal and Azure Resource Manager.
  • Some experience with programming languages like Python, which is commonly used for AI development.
  • Understanding of REST API concepts and experience with using RESTful services.
  • Fundamental knowledge of machine learning and AI concepts, particularly generative AI.
  • An interest in learning how to apply AI to solve complex problems.
  • Willingness to learn and explore new technologies in a hands-on manner.

These prerequisites are intended to provide you with a solid foundation to build upon during the course. They are not meant to be barriers to entry but rather to ensure a smooth and effective learning experience.


Target Audience for AI-050: Develop Generative AI Solutions with Azure OpenAI Service

The AI-050 course is designed for IT professionals seeking to master Azure OpenAI for developing generative AI solutions.


  • Software Developers and Engineers
  • AI and Machine Learning Specialists
  • Data Scientists
  • Cloud Solution Architects
  • DevOps Engineers
  • IT Project Managers
  • Technical Team Leaders
  • Innovation Managers
  • Business Analysts involved in AI projects
  • AI Ethicists and Policy Advisors
  • Product Managers for AI-powered products or services


Learning Objectives - What you will Learn in this AI-050: Develop Generative AI Solutions with Azure OpenAI Service?

Introduction to Learning Outcomes

The AI-050 course equips participants with skills to build generative AI solutions using Azure OpenAI Service, focusing on language, code, image capabilities, and responsible AI practices.

Learning Objectives and Outcomes

  • Understand the scope and applications of Azure OpenAI Service for generative AI workloads.
  • Gain knowledge of generative AI models and differentiate between Azure OpenAI's language, code, and image capabilities.
  • Learn to access and navigate the Azure OpenAI Service and create service resources.
  • Utilize Azure OpenAI Studio, console, or REST API for deploying and testing base models.
  • Master the generation of AI model completions in response to prompts and manage model parameters effectively.
  • Integrate Azure OpenAI models into applications and choose appropriate endpoints for deployment.
  • Develop skills to use REST API and language-specific SDKs for creating natural language solutions.
  • Comprehend the concept of prompt engineering to fine-tune AI model interactions.
  • Design and optimize prompts to enhance the performance and response quality of Azure OpenAI models.
  • Apply responsible AI practices and adhere to Azure OpenAI's limited access policies within AI solutions.