Overview

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This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Prepare to embark on a learning journey where you will become proficient in using Azure AI services to design, build, and implement AI solutions. This course provides hands-on demonstrations and covers a wide range of AI topics, including Generative AI, Natural Language Processing, Computer Vision, and AI agents. By mastering these technologies, you will gain the expertise required to take on the role of an Azure AI Engineer Associate. The course is structured in distinct sections, each designed to walk you through core concepts, starting with foundational knowledge of AI and Azure AI tools. You will learn about different types of models, AI agents, and techniques such as Retrieval-Augmented Generation (RAG) and large language models. Through practical demonstrations, you’ll engage with Azure services like OpenAI and AI Foundry to build real-world solutions. With demonstrations on tools like Python, Azure CLI, and Vision Studio, this course ensures that you not only understand theory but also gain practical skills. From building conversational agents to leveraging AI for computer vision applications, the course provides a holistic view of the Azure AI ecosystem. This course is ideal for aspiring Azure AI engineers, developers, and anyone looking to expand their knowledge of AI technologies. It’s suitable for individuals with a technical background in software development or IT. The course is designed to be accessible to learners who are already familiar with programming basics and cloud computing. By the end of the course, you will be able to build and deploy AI solutions using Azure, integrate natural language processing into applications, design computer vision solutions, and implement advanced AI agent strategies.

Syllabus

Course Introduction

In this module, we will introduce you to the course layout and objectives, providing a clear view of the learning journey ahead. This section sets the stage for your exploration of Azure AI and its applications.

Foundations of AI and Generative AI

In this module, we will lay the groundwork by diving into the core principles of AI, ML, DL, and Generative AI. You will learn how these technologies have evolved and how they apply in real-world scenarios across industries.

Getting Started with Azure AI

In this module, we will introduce you to the Azure AI ecosystem, showcasing key services like Azure OpenAI. You’ll learn how to navigate Azure’s offerings and make informed decisions on which AI models to use for specific tasks.

Understanding Azure AI Foundry

In this module, we will focus on using the Azure AI Foundry, diving into its role in AI development. You’ll explore LLMs, prompt engineering, and get hands-on with the AI Foundry Playground to build and test your own models.

Azure AI Foundry SDK

In this module, we will explore how to integrate the Azure AI Foundry SDK into your AI applications. You’ll learn how to interact with Azure AI services using Python and CLI, and build your own chat client.

Retrieval-Augmented Generation (RAG)

In this module, we will introduce you to Retrieval-Augmented Generation (RAG), explaining its role in AI and how it enhances model performance. You'll gain hands-on experience implementing RAG solutions within the Azure AI Foundry platform.

AI Agents with Azure

In this module, we will cover AI agents and their powerful role in automating tasks. You’ll learn how to deploy agents using Azure, explore their components, and dive into building advanced agents using the Semantic Kernel.

Advanced NLP and Conversational AI

In this module, we will dive into advanced Natural Language Processing (NLP) and conversational AI. You’ll learn about NLP concepts and build a conversational agent using Azure’s AI capabilities.

Computer Vision with Azure AI

In this module, we will explore computer vision techniques, showing you how to develop applications using Azure AI tools. You’ll learn how to implement face detection and Optical Character Recognition (OCR) with Vision Studio.

Conclusion

In this module, we will recap the major takeaways from the course, ensuring you are equipped to apply your new skills. We’ll guide you through next steps in your Azure AI journey, empowering you to use what you've learned in practical applications.