AI-900 Azure AI Fundamentals Exam Prep In One Day

Name: AI-900 Azure AI Fundamentals Exam Prep In One Day
Rating: 4.5 (21 reviews)

Pass AI 900 with confidence- Exam -2024

Last updated 9/2023

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What you'll learn

This course will help you assess your readiness and ensure that you are fully prepared for the final exam.
This course is updated with latest content
Pass AI 900 exam with confidence!!!
Examples on each Topic will help to understand the concept.

6 sections • 15 lectures • 1h 26m total length

Introduction2:46
Explore ai fundamentals through the ai-900 exam prep, focusing on exam scope, cognitive services, and ethical considerations, with practice questions and explanations.

Overview4:19
Azure Cognitive Services: Unleashing the Power of Artificial Intelligence13:43
Explore Azure Cognitive Services, a suite of pre-built AI models that enable apps with vision, speech, language, decision, and web search capabilities, without advanced AI skills.
Microsoft responsible AI principles6:37
Explore Microsoft responsible AI principles guiding ethical and inclusive AI with real world examples. Learn about fairness, reliability, privacy, inclusiveness, transparency, and accountability, including Fairlearn Toolkit and Aether Committee.

Computer Vision10:53
Explore how computer vision analyzes images, detects objects, faces, and landmarks, generates descriptive phrases with confidence scores, and outputs bounding boxes, tags, and OCR for text extraction.
Face API3:19
Explore Face API in Azure cognitive services to detect, analyze, and recognize faces, including attributes, emotions, landmarks, and authentication for secure access and video analysis.
Form Recognizer and Ink Recognizer4:13
Explore Azure form recognizer and ink recognizer for document understanding and handwritten content recognition. Use custom models to extract tables and key values, and layout API for text and structure.
Custom Vision3:59
Learn how Azure Custom Vision enables classification and object detection with bounding boxes. Explore the interactive portal, endpoints for training and predictions, edge computing, and best practices.

Natural Language Processing3:45
Explore how Azure natural language processing enables computers to read, understand, translate text and speech, extract entities, detect language, analyze sentiment, and empower cognitive search and voice interactions.
Speech APIs & Speech Services5:09
Explore Azure speech APIs, including speech to text with recognition modes and profanity controls, text to speech with standard and neural voices, translation, and speaker recognition.
Speech Studio4:10
Explore Azure's Speech Studio, a customizable speech portal that creates custom acoustic models, speaker-specific configurations, industry language models, pronunciation refinement, and brand voice fonts for personalized, accurate voice apps.
Language Services9:35
Explore language services for text understanding: text analytics (keyphrase extraction, sentiment, language and entity detection), translator API (70+ languages, transliteration), and Louis for intents, entities, and QnA maker.

Conversational AI4:09
Explore how conversational ai uses chat bots to engage users in natural language, enabling simple tasks with frameworks such as the Microsoft Bot Framework and ethics like transparency and privacy.
Bot Framework: Revolutionizing Conversational AI5:45
The bot framework revolutionizes conversational ai by providing open source tools, libraries, and services including connectors, emulator, and language understanding to build, test, and deploy chatbots across channels.
QnA Maker4:07
Boost conversational intelligence with QnA Maker by extracting question-and-answer pairs from manuals and documents without coding, and integrate with the Bot Framework to build and refresh a data-driven knowledge base.

This course is for anyone who is new to Microsoft Azure AI 900 and is willing to take examination.

I assure you that you will find this course very useful.

About AI 900

The AI-900 course is designed to provide a foundational understanding of AI concepts and their application in Azure. It covers the fundamental principles of AI, common AI workloads, and the services available in Azure for building AI solutions.
Target Audience: The course is suitable for individuals who are new to AI and want to gain a basic understanding of AI concepts and how they can be implemented using Azure services. It is also beneficial for business stakeholders, such as project managers or sales representatives, who need to understand AI capabilities to make informed decisions.
Course Content: The AI 900 course covers practice test for the following key topics:
- Introduction to AI: Understanding the basic concepts, principles, and types of AI.
- Machine Learning: Exploring machine learning concepts, including supervised, unsupervised, and reinforcement learning.
- Computer Vision: Understanding computer vision and its applications, such as image recognition and object detection.
- Natural Language Processing (NLP): Exploring NLP concepts, including text analysis, sentiment analysis, and language translation.
- Conversational AI: Learning about conversational AI technologies, such as chatbots and virtual agents.
- Responsible AI: Understanding the ethical and responsible use of AI, including fairness, transparency, and privacy considerations.
- Azure AI Services: Exploring the AI services available in Azure, such as Azure Cognitive Services and Azure Machine Learning.

Anyone who is preparing for AI 900
Anyone who wants to take their career and salary to a whole new level with AI 900 certification.
Anyone who is new to the AI 900