AI 900 Microsoft Azure AI Fundamentals
Instructor-led Microsoft-aligned training in AI 900 Microsoft Azure AI Fundamentals. Delivered live online by senior practitioners, with hands-on labs and a final assessment. Includes an Skilvi course-completion certificate.
Overview
This instructor-led course provides a foundational understanding of artificial intelligence (AI) concepts and how they are implemented using Microsoft Azure services. You will explore common AI workloads and learn about the principles of responsible AI, preparing you for further specialization in the field. This course is essential for anyone looking to demystify AI and understand its practical applications within the Azure ecosystem.
What you'll learn
- Describe common AI workloads and their potential applications.
- Explain fundamental machine learning concepts and services on Azure.
- Identify computer vision capabilities and services in Azure.
- Understand natural language processing (NLP) concepts and Azure services.
- Describe conversational AI solutions and Azure Bot Service.
- Recognize the principles of responsible AI.
- Prepare for the Microsoft Azure AI Fundamentals certification exam.
Curriculum
6 modules · outline is indicative and can be tailored to your team.
1Introduction to AI on Azure
- What is Artificial Intelligence?
- Common AI Workloads and Services
- Introduction to Microsoft Azure AI Services
- Principles of Responsible AI
2Core Machine Learning Concepts
- Introduction to Machine Learning
- Regression, Classification, and Clustering
- Azure Machine Learning Service Overview
- Automated Machine Learning (AutoML)
3Computer Vision Workloads on Azure
- Introduction to Computer Vision
- Image Classification and Object Detection
- Facial Recognition and Analysis
- Azure Computer Vision Service
4Natural Language Processing (NLP) Workloads
- Introduction to Natural Language Processing
- Key NLP Tasks: Text Analytics, Language Understanding
- Speech Recognition and Translation
- Azure Language Service
5Conversational AI Workloads
- Introduction to Conversational AI
- Understanding Bots and Virtual Agents
- Azure Bot Service and QnA Maker
- Building and Deploying a Basic Bot
6Exploring Responsible AI Principles
- Fairness and Inclusiveness in AI
- Reliability and Safety
- Privacy and Security
- Transparency and Accountability
Prerequisites
No prior experience with artificial intelligence or machine learning is required.
Who should attend
This course is ideal for anyone looking to understand foundational AI concepts and Microsoft Azure services, including business users, developers, and data scientists.
Certification
Prepares you for the official Microsoft certification exam.
Skilvi is an independent training provider and is not affiliated with, or endorsed by, Microsoft. Trademarks are the property of their respective owners.
Frequently asked questions
What is the delivery format for this course?
This is an instructor-led, live-online course, providing real-time interaction with an expert trainer and practical exercises.
How long is this course?
This course is typically delivered over 1 to 2 full days, depending on the specific schedule and pace of the session.
Will I receive a certificate upon completion?
Upon successful completion of the course, you will receive an Skilvi course-completion certificate.
Are exam vouchers included for the AI-900 certification?
Exam vouchers for the Microsoft Azure AI Fundamentals certification are available through authorized channels on request.
What are the prerequisites for this course?
No prior experience with AI or machine learning is required; this course is designed for beginners and those new to AI concepts on Azure.
What will I learn in this course?
You will gain a foundational understanding of AI concepts, machine learning, computer vision, natural language processing, and conversational AI using Microsoft Azure services, along with responsible AI principles.
Pricing on request
- Live online (VILT)
- 16–24 hours
- Hands-on labs & assignments
- Skilvi completion certificate
- Exam voucher on request
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