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    Generative Ai Fundamentals With Microsoft Azure Ai Foundry

    Posted By: ELK1nG
    Generative Ai Fundamentals With Microsoft Azure Ai Foundry

    Generative Ai Fundamentals With Microsoft Azure Ai Foundry
    Published 7/2025
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 819.33 MB | Duration: 2h 7m

    Master Fundamentals of Generative AI using Azure AI Foundry with LLMs, Prompt design, Responsible AI, and Hands-on labs.

    What you'll learn

    Understand the fundamentals of Generative AI and its real-world applications across industries.

    Explore Microsoft Azure AI Foundry and how it supports Generative AI development and deployment.

    Learn how language models work and how to create effective prompts for generating content.

    Apply responsible AI principles including bias awareness, safety, and ethical usage of Generative AI.

    Requirements

    No prior experience in AI or machine learning is required.

    A basic understanding of how websites and software work is helpful.

    An active Microsoft account to access Azure AI Foundry (free tier is enough).

    A stable internet connection and a modern browser (e.g., Chrome or Edge).

    Curiosity to explore how AI generates text, images, or code from prompts!

    Description

    This course provides a comprehensive foundation in Generative AI within the Microsoft Azure ecosystem, tailored for those looking to understand, implement, and build responsible AI solutions. You will explore essential AI concepts, including how Large Language Models (LLMs) function, and how these models are transforming industries through intelligent content generation—from text and images to code and speech.The course dives deep into the working principles behind generative AI, covering topics such as tokenization, transformer architectures, multi-head attention, and prompt engineering. It also offers hands-on guidance on utilizing Azure OpenAI, Azure AI Foundry, and other Azure AI services to develop scalable, secure, and enterprise-grade applications using industry best practices and tools.In addition to technical skills, the course places strong emphasis on responsible AI practices. You will learn Microsoft’s Responsible AI principles—including fairness, transparency, inclusiveness, and accountability—and how to integrate them into AI projects using governance frameworks and harm mitigation strategies.Whether you're a beginner aiming to break into AI, a cloud developer, or an IT professional preparing for the AI-900: Microsoft Azure AI Fundamentals certification, this course equips you with the practical and ethical knowledge to succeed in the rapidly evolving field of AI on Azure platforms and services.By the end of this course, you'll be confident in leveraging Azure’s AI capabilities to build innovative, ethical, and impactful generative AI solutions.

    Overview

    Section 1: Introduction to Your Instructor and Course

    Lecture 1 Meet Your Instructor

    Lecture 2 What You Will Learn In This Course

    Section 2: Introduction to Generative AI and It's Concepts

    Lecture 3 What is Generative AI

    Lecture 4 Introduction to Generative AI

    Lecture 5 Introduction to Language Models

    Lecture 6 Introduction to Transformers

    Lecture 7 Overview Of Language Models

    Lecture 8 Importance of Clear Prompts

    Lecture 9 Techniques to Improve Response Quality

    Section 3: Microsoft Azure AI and Generative AI

    Lecture 10 Understanding Artificial Intelligence

    Lecture 11 Introduction to Azure AI Services

    Lecture 12 Introduction to Azure AI Foundry

    Lecture 13 Introduction to AI Development on Azure

    Lecture 14 Development Tools and Environments

    Section 4: Responsible AI

    Lecture 15 Introduction to Responsible AI

    Lecture 16 Four-Stage Process For Responsible AI

    Lecture 17 Generative AI - A Powerful Technology

    Lecture 18 Planning for Responsible Generative AI

    Lecture 19 Measuring Potential Harms – Process Overview

    Lecture 20 Layered Mitigation Strategy in Generative AI

    Lecture 21 Pre and Post -Release Readiness & Compliance

    Section 5: Agentic AI With Azure AI Agents Service

    Lecture 22 Introduction to AI Agents

    Lecture 23 Overview of Agent Development Options

    Lecture 24 Introduction to Azure AI Agent Service

    Lecture 25 Lab: How To Deploy Azure AI Foundry Agent

    Beginners curious about Generative AI and its use cases,Developers exploring Microsoft Azure AI Foundry tools,Students interested in AI fundamentals and prompt design,Tech professionals wanting hands-on AI experience,Business users looking to understand AI-driven content,Anyone eager to explore responsible and ethical AI