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
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.