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Azure OpenAI Essentials

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Packt

Azure OpenAI Essentials

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Understand the capabilities and applications of large language models in Azure OpenAI.

  • Interact with Azure OpenAI models using APIs and web interfaces.

  • Develop AI-driven solutions for content generation, semantic search, and natural language understanding.

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Recently updated!

June 2026

Assessments

13 assignments

Taught in English

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There are 13 modules in this course

This module introduces learners to the fundamentals of large language models (LLMs), highlighting their rapid adoption and transformative impact on technology. Learners will explore leading LLM examples from major companies and discover diverse real-world applications across industries. By the end, participants will understand the capabilities and significance of LLMs in today's AI landscape.

What's included

1 video3 readings1 assignment

This module introduces learners to the essentials of working with Azure OpenAI, including setting up resources, navigating the Azure AI Foundry, and making programmatic calls using Python. By the end, you will understand how to deploy and interact with large language models on Azure's platform.

What's included

1 video4 readings1 assignment

This module explores advanced features of Azure OpenAI, including vector databases, custom data integration, fine-tuning, and the use of APIs for building intelligent assistants. Learners will gain practical skills in optimizing AI models, managing data privacy, and leveraging batch processing and code interpretation tools. Emphasis is placed on best practices for data quality and secure deployment in enterprise environments.

What's included

1 video12 readings1 assignment

This module guides learners through the foundational steps of building a document-based question-answering solution using enterprise tools. You will explore key prerequisites, including Azure subscriptions and OpenAI resources, and learn how to set up Azure Cognitive Search for effective information retrieval.

What's included

1 video2 readings1 assignment

This module introduces strategies for organizing and searching scattered contact center documents using Azure OpenAI. Learners will discover how to set up tools in the Azure portal and leverage Python to create a searchable document repository. By the end, you'll understand how to streamline information retrieval for contact center analytics.

What's included

1 video1 reading1 assignment

This module introduces learners to the fundamentals of retrieving information from structured SQL databases. You will explore how to access and query stored data, building on previous work with customer conversation analysis. By the end, you'll be able to extract meaningful insights from organized datasets.

What's included

1 video1 reading1 assignment

This module explores the process of generating code and creating effective documentation, building on your experience with Azure Communication Services and synthetic chat scenarios. Learners will discover best practices for automating code creation and documenting their solutions for clarity and maintainability.

What's included

1 video1 reading1 assignment

This module introduces learners to building a foundational recommender system using Azure OpenAI. You will explore how to leverage AI tools to generate code snippets and accompanying documentation, setting the stage for more advanced AI-powered solutions.

What's included

1 video1 reading1 assignment

This module guides learners through the process of converting educational text content into engaging video presentations using Azure OpenAI and Azure Language and Speech Services. Participants will gain hands-on experience setting up the necessary cloud services and developing Python-based solutions for automated video creation.

What's included

1 video2 readings1 assignment

This module guides learners through building a collaborative system of intelligent agents using the Azure OpenAI Assistants API. You will explore architectural design, agent communication, and the integration of multimodal capabilities such as image generation and analysis. By the end, you'll understand how to orchestrate multiple agents to perform complex tasks autonomously.

What's included

1 video3 readings1 assignment

This module explores essential privacy and security practices when deploying Azure OpenAI, including content filtering, abuse prevention, and responsible AI implementation. Learners will gain hands-on experience configuring security features, testing private endpoints, and understanding risk mitigation strategies for advanced language models.

What's included

1 video8 readings1 assignment

This module guides learners through the practical aspects of deploying, monitoring, and scaling Azure OpenAI services. You will learn how to generate and analyze operational logs, accurately size resources using PTU-M, and manage service quotas for optimal performance. By the end, you'll be equipped to operationalize Azure OpenAI in real-world scenarios.

What's included

1 video4 readings1 assignment

This module explores advanced techniques for crafting effective prompts for large language models, including strategies for structuring inputs, decomposing complex tasks, and optimizing outputs. Learners will also examine the differences between prompt engineering and fine-tuning, as well as methods to mitigate prompt injection attacks. Practical examples and best practices are provided to enhance model performance and security.

What's included

1 video11 readings1 assignment

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