- Fundamental AI Concepts
- Learn about the kinds of solutions AI can make possible and considerations for responsible AI practices.
- Fundamentals of machine learning
- Describe the core concepts of machine learning
- Identify different types of machine learning
- Describe considerations for training and evaluating machine learning models
- Describe core concepts of deep learning
- Use automated machine learning in Azure Machine Learning service
- Lab: Explore Automated Machine Learning in Azure Machine Learning
- Fundamentals of Azure AI services
- Understand applications Azure AI services can be used to build
- Understand how to access Azure AI services in the Azure portal
- Understand how to use Azure AI services keys and endpoint for authentication
- Create and use an Azure AI services resource in a Content Safety Studio setting
- Lab: Explore Azure AI Services
- Fundamentals of Computer Vision
- Learn how to use the Azure AI Vision service to analyze images
- Lab: Analyze images in Vision Studio
- Fundamentals of Facial Recognition
- Learn how to use Azure AI Face service to detect and analyze faces in images.
- Lab: Detect faces in Vision Studio
- Fundamentals of Optical Character Recognition
- Learn how to read text in images with Azure AI Vision.
- Lab: Read text in Vision Studio
- Fundamentals of Text Analysis with the Language Service
- Learn how to use Azure AI Language for text analysis
- Lab: Analyze text with Language Studio
- Fundamentals of question answering with the Language Service
- Understand how to use Azure AI-Language and Azure AI Bot Service to create a bot
- Lab: Use question answering with Language Studio
- Fundamentals of conversational language understanding
- Learn what conversational language understanding is
- Learn about key features, such as intents and utterances
- Build and publish a natural-language machine-learning model
- Lab: Use Conversational Language Understanding with Language Studio
- Fundamentals of Azure AI Speech
- Learn about speech recognition and synthesis
- Learn how to use Azure AI Speech
- Lab: Explore Speech Studio
AI-900T00: Microsoft Azure AI Fundamentals
- 1 Day
- Beginner
-
162 Students
- 1 Day
- Beginner
-
162 Students
- In-person / virtual Instructor-Led Training
- Email at cloud-trainings@learners.debugdeploy.com
- Overview
- Key Highlights
- Who Should Attend
- Required
- Course Details
- Course Outline
- Why Choose Us
- Enroll
- FAQs
Overview
AI-900: Microsoft Azure AI Fundamentals course introduces fundamental concepts related to artificial intelligence (AI) and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers but rather to build awareness of common AI workloads and the ability to identify Azure services to support them.
If you’re eager to grasp the foundations of AI in the context of Microsoft Azure, you’ve come to the right place. Whether you’re an aspiring AI enthusiast, a professional seeking to harness the power of AI, or a firm aiming to equip your team with AI capabilities, this course is tailored to meet your needs.
After training your employees with this course, your firm stands to benefit in various ways. You’ll have a team equipped with a strong AI foundation, capable of leveraging Microsoft Azure for AI solutions. This leads to improved decision-making, enhanced productivity, and innovative applications that give your firm a competitive edge.
Participants in this course gain access to expert instruction, hands-on practice, and insights into AI in Microsoft Azure. It opens doors to the powerful world of AI with Azure’s comprehensive suite of services. Beyond technical skills, this course will guide you on how to implement AI solutions ethically and responsibly, ensuring that your AI initiatives align with industry best practices.
As a renowned training provider, Debug Deploy Learning ensures you receive the best experience in AI-900 training. Partner with us, and equip your team with the knowledge and skills required for success in AI with Microsoft Azure.
Key Highlights
- Describe Artificial Intelligence workloads and considerations
- Describe fundamental principles of machine learning on Azure
- Describe features of computer vision workloads on Azure
- Describe features of Natural Language Processing (NLP) workloads on Azure
Who Should Attend
- Data Scientist
- AI Engineer
Required
- Interest in use cases for AI applications and machine learning models.
- Familiarity with computers and using a web browser
- A willingness to learn through hands-on exploration
Course Details
- Duration: 1 Days [8 hours]
- Delivery Format: In-person / virtual Instructor-Led Training
Course Outline
Why Choose Us
- Proven Track Record: Thousands of satisfied students and successful certifications.
- Flexible Learning Options: Choose from various formats to fit your schedule and learning style.
- Post-Training Support: Access to additional resources and community forums for continued learning.