YoVDO

AI-900 Study Guide: Non-Generative AI Fundamentals - Lecture 1

Offered By: John Savill's Technical Training via YouTube

Tags

AI-900: Microsoft Azure AI Fundamentals Courses Artificial Intelligence Courses Machine Learning Courses Deep Learning Courses Computer Vision Courses Speech Recognition Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Dive into a comprehensive study cram for the AI-900 certification exam, focusing on non-generative AI topics. Learn about the fundamentals of artificial intelligence, machine learning, and deep learning. Explore Azure Machine Learning Studio, various AI solutions provided by Microsoft, and the importance of responsible AI practices. Gain insights into computer vision, natural language processing, speech recognition, translation services, and document intelligence. Discover the concept of knowledge mining and review key exam topics. Benefit from practical exam tips to help you succeed in your certification journey. This video tutorial provides a thorough overview of AI concepts and Azure AI services, essential for anyone preparing for the AI-900 exam or seeking to expand their knowledge in the field of artificial intelligence.

Syllabus

- Introduction
- Preparation materials
- What is AI
- Machine learning
- Training process
- Training data types
- Azure Machine Learning Studio
- Deep learning
- Type summary
- Provided solutions
- Endpoints and keys
- Responsible AI
- Computer vision
- Vision services
- Face
- Natural Language
- Speech
- Translation
- Document intelligence
- Knowledge mining
- Review
- Exam tips
- Close


Taught by

John Savill's Technical Training

Related Courses

Neural Networks for Machine Learning
University of Toronto via Coursera
機器學習技法 (Machine Learning Techniques)
National Taiwan University via Coursera
Machine Learning Capstone: An Intelligent Application with Deep Learning
University of Washington via Coursera
Прикладные задачи анализа данных
Moscow Institute of Physics and Technology via Coursera
Leading Ambitious Teaching and Learning
Microsoft via edX