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Microsoft Azure AI Fundamentals (AI-900)
A basic overview of artificial intelligence concepts and their practical implementations is provided by the AI-900: Introduction to AI in Azure course. It examines important fields such computer vision, speech, natural language processing, machine learning, and general artificial intelligence. Additionally, learners will learn about responsible AI practices and how to begin using Azure’s AI services. The Azure AI Foundry portal offers actual experience in developing and assessing AI solutions through hands-on laboratories.
Overview
AI-900: Foundations of Microsoft Azure AI! This course aims to provide you a basic grasp of artificial intelligence and give you the tools you need to use Azure’s potent tools to apply AI responsibly.
This course will begin with the fundamentals of artificial intelligence (AI), including definitions, applications, and ethical issues that influence responsible AI use. After that, you’ll go into Machine Learning Fundamentals, where you’ll discover several forms of machine learning, get practical experience training models, and investigate deep learning methods. You’ll find an easy-to-use platform to create and implement AI solutions effectively with Azure Machine Learning.
After that, the course presents Azure AI Services, which provide a variety of tools for quickly and efficiently adding intelligence to applications.
What you will Learn in this Microsoft Azure AI Fundamentals (AI-900) course?
- Understand foundational AI concepts and responsible AI practices.
- Describe different types of machine learning and their applications.
- Explore generative AI and prompt engineering techniques.
- Learn to use Azure AI services for NLP, speech, and computer vision.
- Analyze text, speech, and image data using Azure AI Foundry.
Understand information extraction and AI-powered search
Who should go for Microsoft Azure AI Fundamentals (AI-900) course?
The AI-900: Microsoft Azure AI Fundamentals exam is designed for a broad audience, including:
Technical Roles:
- Data Scientists
- Software Engineers.
- Cloud Architects.
- Machine Learning Engineer
Non-Technical Roles:
- Business Analysts
- Project Managers
- IT Decision-Makers
Our Package
Introduction to AI concepts
- Introduction to AI
- Generative AI
- Computer vision
- Speech
- Natural language processing
- Extract data and insights
- Responsible AI
Get started with AI in Microsoft Foundry
- Introduction
- What is an AI application?
- Components of an AI application
- Microsoft Foundry for AI
- Get started with Foundry
- Understand Azure
- Exercise – Explore AI in Microsoft Foundry
Introduction to machine learning concepts
- Introduction
- Machine learning models
- Types of machine learning model
- Regression
- Binary classification
- Multiclass classification
- Clustering
- Deep learning
- Exercise – Explore machine learning scenarios
Get started with machine learning in Azure
- Introduction
- Define the problem
- Get and prepare data
- Train the model
- Use Azure Machine Learning studio
- Integrate a model
- Exercise – Explore Automated Machine Learning in Azure Machine Learning
Introduction to generative AI and agents
- Introduction
- Large language models (LLMs)
- Prompts
- AI agents
- Exercise – Explore generative AI agent scenarios
Get started with generative AI in Microsoft Foundry
- Introduction
- Understand generative AI applications
- Understand generative AI development in Foundry
- Understand Foundry’s model catalog
- Understand Foundry capabilities
- Understand observability
- Exercise – Explore generative AI in Microsoft Foundry
Introduction to text analysis concepts
- Introduction
- Tokenization
- Statistical text analysis
- Semantic language models
- Exercise – Explore text analytics
Get started with natural language processing in Microsoft Foundry
- Introduction
- Understand natural language processing on Azure
- Understand Azure Language’s text analysis capabilities
- Azure Language’s conversational AI capabilities
- Azure Translator capabilities
- Get started in Microsoft Foundry
- Exercise – Analyze text in Microsoft Foundry
Introduction to AI speech concepts
- Introduction
- Speech-enabled solutions
- Speech recognition
- Speech synthesis
- Exercise – Explore an AI speech scenario
Get started with speech in Microsoft Foundry
- Introduction
- Understand speech recognition and synthesis
- Get started with speech on Azure
- Use Azure Speech
- Exercise – Explore Speech in Microsoft Foundry
Introduction to computer vision concepts
- Introduction
- Computer vision tasks and techniques
- Images and image processing
- Convolutional neural networks
- Vision transformers and multimodal models
- Image generation
- Exercise – Explore a computer vision scenario
Get started with computer vision in Microsoft Foundry
- Introduction
- Understand Foundry Tools for computer vision
- Understand Azure Vision Image Analysis capabilities
- Understand Azure Vision’s Face service capabilities
- Get started in Microsoft Foundry portal
- Exercise – Analyze images in Microsoft Foundry
Introduction to AI-powered information extraction concepts
- Introduction
- Overview of information extraction
- Optical character recognition (OCR)
- Field extraction and mapping
- Exercise – Explore AI information extraction
Get started with AI-powered information extraction in Microsoft Foundry
- Introduction
- Azure AI services for information extraction
- Extract information with Azure Vision
- Extract multimodal information with Azure Content Understanding
- Extract information from forms with Azure Document Intelligence
- Create a knowledge mining solution with Azure AI Search
- Exercise – Extract information
Upcoming Batch
April 20th (Weekends)
FRI & SAT (4 Weeks)
08:30 PM to 01:00 AM (CDT)
April 18th (Weekdays)
MON – FRI (18 Days)
10:00 AM to 12:00 PM (CDT)
Microsoft Azure AI Fundamentals (AI-900) FAQs
Q. What are the important domains covered in the AI-900 certification exam?
Ans.
AI-900 training course maintains perfect unison with the domains covered in the AI-900 certification exam. Here are the domains covered in AI-900 exam, 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 Describe features of generative AI workloads on Azure
Q. What is the validity of the AI-900 certification?
Ans.
Candidates should note that the Microsoft Azure certifications do not expire. However, candidates would have to renew their certifications at an interval of every two years to keep the certification relevant with new updates in technology and Azure services.
Q. How much time will I get to complete the AI-900: Microsoft Azure AI Fundamentals certification exam?
Ans.
The total duration of the Microsoft Azure AI Fundamentals (AI-900) certification exam is around 45-65 minutes.
Q. Non-technical/fresher; can take the AI-900 certification exam?
Ans.
Yes, candidates with non-technical backgrounds can take the AI-900 certification exam. However, you have to go through appropriate training in all exam objectives to ensure success.
Q. What are the roles and responsibilities of an AI-900 certified professional?
Ans.
The AI-900: Microsoft Azure AI Fundamentals certification enables a professional to develop their expertise in AI and ML workloads on Azure. The AI-900 certified professional can serve entry-level roles in data science of AI engineering.
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