AI-900 Course Azure AI Fundamentals with Virtual Simulations
What you'll learn
- Learn the concepts and perform hands on activities needed to pass the AI-900 exam
- Gain a tremendous amount of knowledge involving advanced Azure AI Services
- Get loads of hands on experience with Azure AI Services
- Utilize hands on simulations that can be access anytime, anywhere!
Requirements
- Willingness to put in the time and practice the steps shown in the course
Description
We really hope you'll agree, this training is way more than the average course on Udemy!
Have access to the following:
Training from an instructor of over 20 years who has trained thousands of people and also a Microsoft Certified Trainer
Lecture that explains the concepts in an easy to learn method for someone that is just starting out with this material
Instructor led hands on and simulations to practice that can be followed even if you have little to no experience
TOPICS COVERED INCLUDING HANDS ON LECTURE AND PRACTICE TUTORIALS:
Introduction
Welcome to the course
IMPORTANT Using Assignments in the course
Creating a free Azure Account
Order of concepts covered in the course
Introduction to artificial intelligence terminology
Identify features of common AI workloads
Understanding features of anomaly detection workloads
Example of univariate anomaly detection
Example of multivariate anomaly detection
What is computer vision workloads?
Conceptual usage of natural language processing workloads
Visualizing knowledge mining principals
Identify guiding principles for responsible AI
Introduction to responsible AI
Fairness and Inclusiveness in an AI solution
Reliability and safety in an AI solution
Privacy and security in an AI solution
Transparency in an AI solution
Accountability in an AI solution
Identify common machine learning types
Create an Azure Machine Learning workspace for machine learning scenarios
What is regression machine learning?
Building a pipeline with regression machine learning for cleaning a dataset
Implement a regression machine learning scenario
Evaluating the results of regression machine learning scenarios
What is classification machine learning?
Implement a classification machine learning scenario in Azure
Understanding labels on a confusion matrix
Clustering machine learning example
Describe core machine learning concepts
Understanding features and labels in a dataset for machine learning
How training and validation datasets are used in machine learning
Describe capabilities of visual tools in Azure Machine Learning Studio
Using Automated machine learning
Understanding Azure Machine Learning Designer
Cleaning up our existing Azure resources
Identify common types of computer vision solutions
What are the Azure computer vision solutions?
Creating an Azure computer vision resource
Image classification and object detection solutions in vision studio
Optical character recognition solutions in vision studio
Facial detection and facial analysis solutions in vision studio
Spatial analysis solutions in vision studio
Identify Azure tools and services for computer vision tasks
Using the POSTMAN tool for interacting with Azure AI Services
Implementing the capabilities of the Computer Vision service
Implementing the capabilities of the Custom Vision service
Implementing the capabilities of the Face service
Implementing the capabilities of the Form Recognizer service
Identify features of common NLP Workload Scenarios
What are the Azure AI Language features?
Creating a language service resource in Azure
Trying out key phrase extraction
Trying out key entity recognition
Trying out key sentiment analysis
Trying out key language modeling
Trying out key speech recognition and synthesis
Trying out key translation
Identify Azure tools and services for NLP workloads
Exploring the capabilities of the Language service
Exploring the capabilities of the Speech service
Exploring the capabilities of the Translator service
Configuring Azure AI language to support questions and answers support
Identify considerations for conversational AI solutions on Azure
Understanding the features and uses for bots
Capabilities of Power Virtual Agents and the Azure Bot service
Remove existing resource
Who this course is for:
- IT people interested in learning and passing the Microsoft AI-900 exam!
Instructor
- 4.7 Instructor Rating
- 47,019 Reviews
- 123,959 Students
- 28 Courses
John Christopher is a Technical Instructor that has been in the business for 25 years. His first experience with information technology occurred in the early 90s when he ran an MS-DOS based BBS(Bulletin Board System) as a System Operator. In the late 90s, after working with Windows NT 3.50 performing backups for Regal Group, he decided to get Windows NT Microsoft Certified.
In 1998 he got his first Microsoft Certified Systems Engineer and Microsoft Certified Trainer certification. Shortly after getting certified, he began working as a Junior Administrator and Instructor for Knowledge Alliance. From there John was able to become one of the first people in the world to gain an MCSE for the Windows 2000 operating system and he began teaching full time for a company called Productivity Point International. At Productivity Point, John got Citrix Metaframe certified and began teaching Citrix along with Microsoft classes. Productivity Point began experiencing financial troubles and John moved on to work with another training company in 2001
For many years at the training company in Atlanta John was the network administrator and held the title of Senior Technical Instructor for the company. John designed and administered their network from the ground up, going from a single floor in a single building, to multiple floors in multiple buildings and locations. He furthered his certifications, gaining the MCSE for 2003, 2008(MCITP), 2012, A+, Network+, Security+, Exchange, and CCNA. Along with his Network admin duties, John taught hundreds of students during his 11 years for the company. During all his years of training, John has had the honor of doing lots of classes with the military, along with quite a few classes within on-site military bases. In 2012, he decided to break away from the company he had been working for and do consulting and contract teaching. Currently, John gets hired by many different training companies to teach technical training classes all over the United States. He is also hired as a consultant to go into companies and work on their networks and implement, along with troubleshoot real world scenarios.