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We're here to help you find itAI-3018: Copilot Foundations is a one-day course designed to help you adopt, use, and create copilots with AI models. With a focus on boosting productivity and automating tasks, you'll explore Generative AI and the role of Language models in intelligent applications. Dive into the basics with Microsoft Copilot Studio, where you'll learn to create, test, and analyze copilots.
Practical labs will guide you through using Azure AI Studio for provisioning, managing AI resources, and creating AI projects. Additionally, you'll build a RAG-based copilot solution using your data, learning to index data with Azure AI Search and grounding your language model effectively. This dynamic course offers a blend of theoretical knowledge and practical skills to master copilot technology.
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You can request classroom training in any city on any date by Requesting More Information
Prerequisites for AI-3018: Copilot Foundations
To successfully undertake training in the AI-3018: Copilot Foundations course, students should have a basic understanding of the following:
These prerequisites ensure that learners have a foundational knowledge to effectively engage with the course material and maximize the benefits from the training sessions. If you're comfortable with navigating Azure, you're well-prepared to embark on this course and start building your skills in creating and managing copilot solutions using AI.
AI-3018: Copilot Foundations is a one-day course designed for professionals familiar with Azure, aiming to leverage AI copilots for enhanced productivity and task automation.
Course Introduction: The AI-3018: Copilot Foundations course is a one-day immersive training designed to introduce participants to the world of generative AI and its applications through Microsoft’s tools. By the end of the course, you will have hands-on experience in creating and managing copilots, and effectively using Azure AI Studio.
Learning Objectives and Outcomes:
This course will provide practical experience and foundational knowledge necessary to integrate and utilize generative AI tools effectively.
Generative AI refers to artificial intelligence systems that can generate new content, such as text, images, or music, by learning from large amounts of data. These systems use advanced algorithms to understand patterns and features in the data they are trained on, allowing them to produce original outputs based on the input they receive. This technology is widely used for tasks like writing assistance, art creation, and even in developing new software applications, revolutionizing how we create and interact with digital content.
Language models are advanced AI systems that process and generate human-like text based on the data they’ve been trained on. They understand and predict language patterns for tasks such as translation, summarization, and conversation. This technology is at the core of various applications, enhancing how we interact with machines, making them more intuitive and helpful in our daily digital interactions.
Microsoft Copilot Studio is a development environment designed to enhance software creation by integrating AI into the coding process. It leverages artificial intelligence to suggest code snippets, optimize workflows, and automate repetitive tasks, enabling developers to focus more on strategic and creative aspects of software development. This tool is tailored to improve productivity and efficiency, while also providing intuitive guidance and learning resources to help developers sharpen their programming skills and adapt to evolving technologies swiftly.
Azure AI Studio is a cloud-based platform created by Microsoft that allows you to build, train, and deploy artificial intelligence models without needing deep coding knowledge. It provides tools and built-in algorithms that help professionals and developers alike to craft AI solutions easily by dragging and dropping elements on a canvas. This makes it possible to automate tasks, derive insights from data, and create intelligent applications, enhancing business productivity and decision-making processes. Azure AI Studio supports various AI scenarios, including machine learning, anomaly detection, and computer vision.
A RAG-based copilot solution refers to a system that assists users in decision-making by employing a "Red, Amber, Green" (RAG) status indicator methodology. In this context, the AI technology interprets data and offers real-time status updates. "Red" indicates critical issues requiring immediate attention, "Amber" suggests caution and calls for closer monitoring, and "Green" signifies that everything is operating normally. This AI-driven guidance helps professionals manage processes efficiently, minimizing risk and enhancing outcome reliability in various operational environments.
Azure AI Search is a cloud-based service that integrates powerful artificial intelligence capabilities to help businesses enhance their document search functionality. It leverages AI to understand the content and context within different types of documents, making it easier to find relevant information quickly. By using natural language processing, this tool can parse text, images, and even handwriting, offering a more intuitive and efficient search experience. Azure AI Search is particularly useful for organizations dealing with large data sets and needing precise search tools to improve productivity and decision-making.
AI-3018: Copilot Foundations is a one-day course designed for professionals familiar with Azure, aiming to leverage AI copilots for enhanced productivity and task automation.
Course Introduction: The AI-3018: Copilot Foundations course is a one-day immersive training designed to introduce participants to the world of generative AI and its applications through Microsoft’s tools. By the end of the course, you will have hands-on experience in creating and managing copilots, and effectively using Azure AI Studio.
Learning Objectives and Outcomes:
This course will provide practical experience and foundational knowledge necessary to integrate and utilize generative AI tools effectively.
