Azure AI Fundamentals AI-900

The AI-900 Azure AI Fundamentals Course is a training program designed to introduce participants to the fundamental concepts of artificial intelligence (AI) and machine learning (ML) offered by the Azure platform. This course provides an overview of the different technologies and services available on Azure that enable the creation of innovative AI solutions. During the course, participants will gain theoretical and practical knowledge on how to use AI and ML services, such as Azure Machine Learning, Azure Cognitive Services, and Azure Bot Service. They will also be introduced to the principles of ethics and responsibility in AI, so that they can develop applications that respect user privacy and rights. The AI-900 Azure AI Fundamentals course is suitable for a wide range of participants, including IT professionals, developers, data scientists, and others interested in learning about the AI solutions offered by Azure. You do not need to have in-depth knowledge of programming or AI to attend the course, as it provides a general overview of the available technologies. The course contributes to the preparation for the Azure AI Fundamentals Certification exam .

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Course Objectives

Below is a summary of the main objectives of the Azure AI Fundamentals AI-900 Course :

Introduction to fundamental concepts of AI and machine learning on Azure.
Overview of Azure Machine Learning for ML model development and deployment.
Using Azure Cognitive Services for computer vision and natural language processing applications.
Building conversational AI solutions, including chatbots and virtual assistants, with Azure Bot Service.
Deepening the principles of ethics and responsibility in the use of artificial intelligence.
Exploring automated machine learning (AutoML) for accelerating model creation on Azure.
Integrating AI services with Azure data and analytics platforms for enhanced decision-making.
Understanding how to use pre-built AI models in applications without requiring deep technical expertise.

Course Certification

This course helps you prepare to take the:
AI-900 Azure AI Fundamentals Exam ;

Course Outline

Identify features of common AI workloads

Identify features of data monitoring and anomaly detection workloads
Identify features of content moderation and personalization workloads
Identify computer vision workloads
Identify natural language processing workloads
Identify knowledge mining workloads
Identify document intelligence workloads
Identify features of generative AI workloads

Identify guiding principles for responsible AI

Describe considerations for fairness in an AI solution
Describe considerations for reliability and safety in an AI solution
Describe considerations for privacy and security in an AI solution
Describe considerations for inclusiveness in an AI solution
Describe considerations for transparency in an AI solution
Describe considerations for accountability in an AI solution

Identify common machine learning techniques

Identify regression machine learning scenarios
Identify classification machine learning scenarios
Identify clustering machine learning scenarios
Identify features of deep learning techniques

Describe core machine learning concepts

Identify features and labels in a dataset for machine learning
Describe how training and validation datasets are used in machine learning

Describe Azure Machine Learning capabilities

Describe capabilities of Automated machine learning
Describe data and compute services for data science and machine learning
Describe model management and deployment capabilities in Azure Machine Learning

Identify common types of computer vision solution

Identify features of image classification solutions
Identify features of object detection solutions
Identify features of optical character recognition solutions
Identify features of facial detection and facial analysis solutions

Identify Azure tools and services for computer vision tasks

Describe capabilities of the Azure AI Vision service
Describe capabilities of the Azure AI Face detection service
Describe capabilities of the Azure AI Video Indexer service

Identify features of common NLP Workload Scenarios

Identify features and uses for key phrase extraction
Identify features and uses for entity recognition
Identify features and uses for sentiment analysis
Identify features and uses for language modeling
Identify features and uses for speech recognition and synthesis
Identify features and uses for translation

Identify Azure tools and services for NLP workloads

Describe capabilities of the Azure AI Language service
Describe capabilities of the Azure AI Speech service
Describe capabilities of the Azure AI Translator service

Identify features of generative AI solutions

Identify features of generative AI models
Identify common scenarios for generative AI
Identify responsible AI considerations for generative AI

Identify capabilities of Azure OpenAI Service

Describe natural language generation capabilities of Azure OpenAI Service
Describe code generation capabilities of Azure OpenAI Service
Describe image generation capabilities of Azure OpenAI Service

Course Mode

Instructor-Led Remote Live Classroom Training;

Trainers

Trainers are authorized Instructors in Microsoft and certified in other IT technologies, with years of hands-on experience in the industry and in Training.

Lab Topology

For all types of delivery, the participant can access the equipment and actual systems in our laboratories or directly in international data centers remotely, 24/7. Each participant has access to implement various configurations, Thus immediately applying the theory learned. Below are some scenarios drawn from laboratory activities.

Course Details

Course Prerequisites

There are no prerequisites.

Course Duration

Intensive duration 1 days;

Course Frequency

Course Duration: 1 days (9.00 to 17.00) - Ask for other types of attendance.

Course Date

Azure AI Fundamentals Course (Intensive Formula)– On request – 09:00 – 17:00

Steps to Enroll

Registration takes place by asking to be contacted from the following link, or by contacting the office at the international number +355 45 301 313 or by sending a request to the email info@hadartraining.com