Explore the World of Azure AI
Are you ready to embark on a journey into the exciting realm of Azure AI? Imagine having the power to harness artificial intelligence to create innovative solutions and elevate your career to new heights. The Microsoft Azure AI Fundamentals course is your gateway to this transformative world.
Unveiling the Azure AI Magic
In just one day of instructor-led training, you’ll unlock the door to a universe of possibilities. This course isn’t about turning you into a data scientist or a software guru; it’s about igniting your awareness of AI’s capabilities and guiding you to recognize the Azure services that can bring your ideas to life. You’ll delve into AI workloads, the magic of machine learning, the visual wonders of computer vision, the nuances of Natural Language Processing, and the art of conversational AI.
Your Path to Success
Whether you’re an aspiring tech enthusiast or a professional taking the first step into the Azure universe, this course welcomes you. No prior experience with Microsoft Azure is needed, just a basic familiarity with technology and the internet. You’ll explore AI through interactive lectures, practical exercises, and discussions. By the end of this journey, you’ll have the skills to describe AI workloads, grasp machine learning principles, comprehend computer vision, navigate Natural Language Processing, and master conversational AI. Get ready to shape your career with the limitless possibilities of Azure AI.
Course Details
Course Code: AI-900; Duration: 1 day; Instructor-led
This course introduces fundamental concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. It teaches a mix of AI concepts and technology skills that are considered foundational to a successful career implementing AI solutions on Microsoft Azure.
Scores needed to pass exams
Technical exams: Approximately 140 questions. Typically, a scaled score 700 out of 1000. Standard exam duration is set by Microsoft, accommodations are available for extra time if needed.
Audience
This course is for aspiring technology professionals at the beginning of their career in AI solution development. Some knowledge of Python coding syntax and programming techniques is useful. Additionally, knowledge of core cloud concepts, including cloud storage, cloud compute, and cloud-based authentication and authorization is recommended.
Prerequisites
Familiarity with computers and using a web browser.
Methodology
This program will be conducted with interactive lectures, PowerPoint presentation, discussion and practical exercise.
Course Objectives
After completing this course, you will be able to:
- 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 conversational AI workloads on Azure
Outlines
Module 1: Introduction to AI concepts
- Generative AI and agents
- Text and natural language
- Speech
- Computer vision
- Information extraction
- Responsible AI
- Module assessment
Module 2: Introduction to generative AI and agents
- Large language models (LLMs)
- Prompts
- AI agents
- Module assessment
Module 3: Introduction to natural language processing concepts
- Tokenization
- Statistical text analysis.
- Semantic language models
- Module assessment
Module 4: Introduction to AI speech concepts
- Speech-enabled solutions
- Speech recognition
- Speech synthesis
- Module assessment
Module 5: Introduction to computer vision concepts
- Computer vision tasks and techniques
- Images and image processing
- Convolutional neural networks
- Vision transformers and multimodal models
- Image generation
- Module assessment
Module 6: Introduction to AI-powered information extraction concepts
- Overview of information extraction
- Optical character recognition (OCR)
- Field extraction and mapping
- Module assessment
Module 7: Get started with AI in Azure
- Understand Azure
- Developing AI apps on Azure
- Microsoft Foundry for AI
- Using Microsoft Foundry endpoints
Module 8: Get started with generative AI and agents in Azure
- Generative AI models
- Using a generative AI model
- Creating an agent
Module 9: Get started with text analysis in Azure
- Azure Language
- Azure Language SDK
- Azure Language MCP
- Module assessment
Module 10: Get started with speech in Azure
- Speech recognition
- Speech synthesis
- Creating a speech-capable agent
- Module assessment
Module 11: Get started with computer vision in Azure
- Multimodal models for image analysis
- Image generation models
- Video generation models
- Module assessment
Module 12: Get started with AI-powered information extraction in Azure
- Extract information from documents
- Extract information from audio and video
- Module assessment
