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    Azure Ai: Artificial Intelligence And Machine Learning

    Posted By: ELK1nG
    Azure Ai: Artificial Intelligence And Machine Learning

    Azure Ai: Artificial Intelligence And Machine Learning
    Published 12/2024
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 1.43 GB | Duration: 2h 19m

    Learn to use Azure AI for image analysis, voice, text processing, and machine learning.

    What you'll learn

    Discover the key features of Azure AI and how to leverage them in real-world projects.

    Use Azure AI’s image recognition and text analysis tools to create intelligent solutions.

    Implement voice processing and natural language models with Azure.

    Develop and deploy applications integrating AI and Machine Learning models on Azure.

    Automate and enhance applications with Azure OpenAI and advanced GPT models.

    Requirements

    No prior experience in AI is required.

    A basic understanding of programming concepts and cloud services is helpful but not mandatory.

    Access to a computer with an internet connection to use Azure services.

    A free or paid Microsoft Azure account to experiment with the tools covered in the course.

    Description

    Welcome to the Azure AI: Artificial Intelligence and Machine Learning course! Designed for beginners, this comprehensive program introduces you to Microsoft Azure’s powerful AI tools and frameworks for creating innovative and efficient solutions.Throughout this course, you’ll explore how to use Azure AI for image analysis (e.g., object recognition, OCR), voice processing (speech-to-text and text-to-speech), and natural language processing (NLP). By the end, you’ll also be capable of designing and deploying your own machine learning models using Azure Machine Learning.The journey begins with an overview of Azure AI's capabilities and practical applications. You’ll learn how to harness tools like Azure Computer Vision for image recognition tasks and build AI solutions for document processing. In the speech processing module, we cover voice-to-text transcription and speech synthesis, essential for chatbots, virtual assistants, and accessibility tools.The course also focuses on Azure OpenAI integration, enabling you to implement advanced generative AI models for automation and innovation. Additionally, you’ll gain hands-on experience creating custom ML pipelines and deploying scalable solutions using the Azure ML Studio.Whether you're a developer, data scientist, or enthusiast in artificial intelligence, this course equips you with actionable knowledge to apply AI in diverse fields like healthcare, finance, and e-commerce.Join today to unlock the potential of Azure AI, elevate your AI development skills, and bring your projects to the forefront of innovation!

    Overview

    Section 1: Discover Azure AI

    Lecture 1 Navigating Azure AI

    Lecture 2 Adopting a Responsible AI Approach

    Lecture 3 Creating an Azure Account and Using Examples

    Lecture 4 Navigating the Portal and Resources

    Lecture 5 Exploring Examples

    Section 2: Understanding Image and Text Content

    Lecture 6 Discovering Vision Studio

    Lecture 7 Identifying People in a Photo

    Lecture 8 Indexing an Image

    Lecture 9 Processing Text

    Lecture 10 Scanning a Form

    Lecture 11 Indexing a Video

    Section 3: Analyzing Voice

    Lecture 12 Discovering Speech Studio

    Lecture 13 Transcribing Speech to Text

    Lecture 14 Cataloging Voices

    Lecture 15 Speaker Recognition

    Section 4: Processing Text

    Lecture 16 Getting Started with Language Studio

    Lecture 17 Detecting Language

    Lecture 18 Analyzing Text

    Lecture 19 Translating Text

    Section 5: Using Azure OpenAI

    Lecture 20 Considering ChatGPT Integration

    Lecture 21 Launching Azure OpenAI Studio

    Lecture 22 Exploring Examples

    Lecture 23 Customizing a Model

    Lecture 24 Integrating a Prompt into Your Project

    Section 6: Enhancing Applications

    Lecture 25 Modeling Content

    Lecture 26 Detecting Anomalies

    Lecture 27 Adapting to Users

    Lecture 28 Indexing Data

    Lecture 29 Querying Data

    Section 7: Implementing Azure Machine Learning

    Lecture 30 Discovering Azure Machine Learning

    Lecture 31 Getting Familiar with Azure Machine Learning Studio

    Lecture 32 Preparing Datasets

    Lecture 33 Choosing an Algorithm

    Lecture 34 Developing a Predictive Model

    This course is for those who want to explore artificial intelligence with Azure, including developers, data scientists, and IT professionals at beginner or intermediate levels.,Ideal for students, self-learners, or professionals looking to expand their skills in AI and Machine Learning.,Suitable for entrepreneurs and tech enthusiasts aiming to integrate AI into their projects.,Recommended for technical teams seeking to adopt Azure AI in their business processes.