Knowledge Enhancement / AI Automation
AI in Azure (AI-901)
Learn the fundamental concepts of Artificial Intelligence and the Microsoft Azure services used to build AI solutions, from generative AI and agents to speech, vision and information extraction.
Price : 12500+Tax
Program Overview
This course introduces fundamental concepts related to Artificial Intelligence (AI) and the Microsoft Azure services that can be used to create AI solutions. It blends AI concepts with technology skills that are foundational for a career in implementing AI solutions on Azure.
Designed for aspiring technology professionals at the beginning of their AI journey, the program builds awareness of common AI workloads and the ability to identify the Azure services that support them, closing with a practical look at AI productivity tools such as Microsoft 365 Copilot, NotebookLM and Claude AI.
Learning Objectives
- Describe AI workloads and considerations
- Identify Azure services for common AI workloads
- Describe fundamental principles of Machine Learning (ML)
- Describe features of computer vision workloads
- Describe features of Natural Language Processing (NLP) workloads
- Describe features of conversational AI workloads
Audience Profile
Beginner-level AI engineers, developers and students starting their AI journey. Useful for learners with basic knowledge of Python coding syntax and programming techniques.
Course Syllabus
Module 1: Introduction to AI Concepts
Topics
- Generative AI and agents
- Text and natural language
- Speech
- Computer vision
- Information extraction
- Responsible AI
Module 2: Introduction to Generative AI and Agents
Topics
- Large Language Models (LLMs)
- Prompts
- AI agents
Module 3: Natural Language Processing Concepts
Topics
- Tokenization
- Statistical text analysis
- Semantic language models
Module 4: AI Speech Concepts
Topics
- Speech-enabled solutions
- Speech recognition
- Speech synthesis
Module 5: Computer Vision Concepts
Topics
- Computer vision tasks and techniques
- Images and image processing
- Convolutional neural networks
- Vision transformers and multimodal models
- Image generation
Module 6: AI-Powered Information Extraction Concepts
Topics
- Overview of information extraction
- Optical Character Recognition (OCR)
- Field extraction and mapping
Module 7: Get Started with AI in Azure
Topics
- Understand Azure
- Developing AI apps on Azure
- Microsoft Foundry for AI overview
- Microsoft Foundry endpoints
Module 8: Generative AI and Agents in Azure
Topics
- Generative AI models
- Using a generative AI model
- Creating an agent
Module 9: Text Analysis in Azure
Topics
- Azure Language
- Azure Language SDK
- Azure Language MCP
Module 10: Speech in Azure
Topics
- Speech recognition
- Speech synthesis
- Creating a speech-capable agent
Module 11: Computer Vision in Azure
Topics
- Multimodal models for image analysis
- Image generation models
- Video generation models
Module 12: AI-Powered Information Extraction in Azure
Topics
- Extract information from documents
- Extract information from audio and video
Module 13: AI Productivity
Topics
- Introduction to AI productivity
- How AI is transforming workplace productivity
- Microsoft 365 Copilot: Word, Excel, PowerPoint, Outlook, Teams and Business Chat
- NotebookLM: research assistant, PDF summaries, study notes and podcast generation
- Claude AI: long document analysis, report generation and reasoning tasks