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Azure OpenAI Technical Course Description
This course is taught in online modality and consists of 5 units and laboratories. The approximate duration of the course is 115 hours that is distributes between content and collaboration tools. Upon completion, the student will receive a certificate of completion.
Training is carried out through our Virtual Campus : With this option, you'll have all the course content on the course platform, accessible 24/7 from the start of the course. Students will also have access to participation forums and ongoing tutoring.
The course fee applies to the virtual mode (100% bonus option) In-person and online training courses can be carried out on demand.
Introduction
Learn how to implement Azure OpenAI technologies to develop your Artificial Intelligence program. Our Azure OpenAI technical course covers how to use the Azure environment to set up a framework for advanced AI. Advance your career and take control of your AI program with the Azure OpenAI technical course.
This is a hands-on course to learn how to use Azure's AI service!
Addressed to
IT directors, IT professionals, heads of innovation and development in organizations, executives from different departments who want to learn how Artificial Intelligence, together with OpenAI and Azure, can address their new technological expansion challenges, innovation professionals, employees, and anyone else who wants to learn about one of today's leading disruptive technologies.
This course is aimed at AI professionals, students, and enthusiasts who want to learn about and use the Azure OpenAI service, a cloud computing platform that provides access to state-of-the-art artificial general intelligence (AGI) models capable of performing various cognitive tasks based on natural text input.
Course objectives
- Understand the basics of text generation with pre-trained language models and how they can be adapted to specific domains.
- Learn how to use Azure OpenAI custom to build, train, and manage fine-tuned GPT-4 models.
- Explore the creative possibilities and ethical limitations of text generation with GPT-4.
- Develop practical skills to deploy and consume GPT-4 models from different platforms and programming languages.
- Apply the acquired knowledge in a final project that consists of generating texts on a topic chosen by the student.
- Explore the creative possibilities and ethical limitations of text generation with GPT-4.
- Develop practical skills to deploy and consume GPT-4 models from different platforms and programming languages.
- Apply the acquired knowledge in a final project that consists of generating texts on a topic chosen by the student.
Azure OpenAI Course Content
Unit 1: Introduction to Azure OpenAI Service
- Azure OpenAI Fundamentals: What it is, how it works, and what benefits it offers.
- Main concepts: Tokens, resources, implementations, models and learning in context.
- Accessing Azure OpenAI: How to obtain an access key and how to use the Azure portal.
- Model types in Azure OpenAI: what they are, how they are classified, and what characteristics they have.
- IAG Model Deployment: How to create and configure an Azure OpenAI model deployment.
- Using Messages to Get Model Completions: How to send and receive messages to an implementation to get results from a model.
Unit 2: Using Azure OpenAI Studio
- GPT-3, Davinci, Curie, Babbage, and Ada models: what they are, how they differ, and what applications they have.
- Codex and Cushman models: what they are, how they relate to GPT-3, and what uses they have in software development and text generation.
- Model tuning: what it is, how to do it, and what benefits it offers for customizing a model to a user's needs.
- How to manage content filtering: what it is, how to activate it, and how to configure it to prevent inappropriate or sensitive results.
- Creating a Resource: How to create an Azure OpenAI resource and assign it a model, plan, and region.
- Managing inserts: what they are, how to use them, and how to customize them to add additional information or modify a model's behavior.
- Finalizations: what they are, how to obtain them, and how to interpret the results of a model.
- Using Code: How to use the Azure OpenAI SDK to interact with the service from different programming languages.
- Using Azure OpenAI Studio: How to use the Azure OpenAI web tool to create, test, and share IAG projects.
- Practice: Integrating Azure OpenAI into the application
Unit 3: Identity Management
- REST API: What it is, how to use it, and what advantages it offers for integrating the Azure OpenAI service with other applications or services.
- Data encryption: what it is, how it's applied, and what safeguards it offers to protect data privacy and security.
- Version control: what it is, how to do it, and what benefits it offers for maintaining a history of changes made to an IAG project.
- REST API Swagger: What it is, how to use it, and how it helps you document and test the Azure OpenAI REST API.
Unit 4: Managing an application with Azure OpenAI
- Understanding Messaging Engineering
- Write more effective messages
- Context management to improve accuracy
- Using in-app messaging engineering
Unit 5: Generating Code and Images with Azure OpenAI Service
- Building code from natural language
- Using GitHub Copilot
- Code completion and assistance in the development process
- Bug fixes and code improvements
- DALL-E integration in Azure OpenAI Studio
- Using the Azure OpenAI REST API to consume DALL-E models
- Image generation
Laboratories
The course includes labs where you'll learn how to call an OpenAI implementation with pre-trained models from your own apps, understand the impact of correctly crafting questions (prompt engineering) on model responses, write and improve code in different programming languages using generative AI, create images from natural language using DALL-E, and build your own AI-powered virtual assistant capable of answering questions and referencing the answers in your organization's internal documentation.
Prerequisites
To take this course, you need a basic understanding of artificial intelligence , as well as programming skills in one of the languages supported by the Azure OpenAI SDK (Python, Java, C#, Node.js, or Ruby). You'll also need an Azure account and an access key to the Azure OpenAI service , which can be obtained for free for a limited time.
Other modalities
If you are interested in taking this course online, please contact us: Email: info@nanforiberica.com , Phone: +34 91 031 66 78, WhatsApp: +34 685 60 05 91
