AI-050T00: Develop Generative AI Solutions with Azure OpenAI Service Course in Ghana
Create advanced AI models using Azure OpenAI
8 hours of training duration
Microsoft cloud training program
4 updated curriculum modules
Access to practical labs & collaborative projects
Learn from high-quality study materials
Flexible learning options available
Pay with hassle-free instalments
Overview
What our training includes:
- Explore how to work with Azure OpenAI workloads and manage access
- Gain insights into the features and potential of generative AI models
- Learn how to generate code using Azure OpenAI tools
- Practice deploying and experimenting with models in the Studio playground
- Utilize the REST API to deploy and interact with models
Upcoming sessions
Curriculum
Describe Azure Open AI workloads and access the Azure Open AI Service
Understand generative AI models
Understand Azure Open Ai's language, code, and image capabilities
Understand Azure Open Ai's responsible AI practices and limited access policies
Create an Azure Open AI Service resource and understand types of Azure Open AI base models
Use the Azure Open AI 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
Integrate Azure Open AI into your application
Differentiate between the different endpoints available to your application
Generate completions to prompts using the REST API and language-specific SDKs
Understand the concept of prompt engineering and its role in optimising Azure Open AI models' performance
Know how to design and optimise prompts to better utilise AI models
Include clear instructions, request output composition, and use contextual content to improve the quality of the model's responses
Learning Outcomes
After completing this course, you will:
1
Understand how to access and operate Azure OpenAI workloads
2
Discover various generative AI models and their key functions
3
Set up and deploy Azure OpenAI resources with the right settings
4
Experiment with and refine models using the Azure OpenAI Studio
5
Grasp REST APIs and SDKs to create text-based outputs
6
Use prompt engineering techniques and embed AI into tailored applications
Prerequisites
Before enrolling in the AI-050T00 Course, the eligibility requirements are as follows:
- Familiarity with Azure and the Azure portal
- Experience in programming with C# or Python
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Frequently asked questions
Our AI-050T00: Develop Generative AI Solutions with Azure OpenAI Service Course in Ghana teaches learners to build generative AI solutions using Azure OpenAI. We explore GPT, DALL·E, and Codex models, along with Azure OpenAI Studio, REST APIs, and prompt engineering techniques. It’s a hands-on learning experience focused on real-world applications and responsible AI practices.
The course is ideal for developers, data scientists, and IT professionals interested in generative AI. If you're working with AI-powered applications or pursuing Azure certifications, this training helps you advance your skills and apply modern AI tools in real-world projects and solutions.
Our AI-050T00: Develop Generative AI Solutions with Azure OpenAI Service Course in Ghana covers foundational AI concepts, OpenAI models like GPT and DALL·E, prompt engineering, and integrating models via REST APIs. Learners also explore Azure OpenAI Studio, NLP techniques, and responsible AI practices for building scalable, ethical AI applications suited for business needs.
Participants should be familiar with Microsoft Azure and the Azure portal. Prior programming experience in Python or C# is essential. This knowledge ensures learners can effectively work with REST APIs, prompt engineering, and the Azure OpenAI Studio throughout the course.
This AI-050T00 certification course provides learners with practical skills in developing intelligent applications using Azure OpenAI. You master prompt engineering and AI model integration. Graduates gain a competitive edge for roles in AI development, data science, and cloud engineering across industries embracing generative AI.
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