Microsoft Azure AI Essentials: Workloads and Machine Learning on Azure

Introduction

• The essentials of Azure AI

1. Understanding AI

• Definition, history, and evolution of AI
• Importance of learning AI

2. Azure Machine Learning

• Overview of machine learning
• Types of machine learning
• Understanding regression
• Binary classification
• Multiclass classification
• Understanding clustering
• Neural networks and deep learning
• Azure machine learning capabilities
• Practical application of machine learning in business
• Creating an Azure machine learning resource
• Azure machine learning demo

3. Computer Vision

• Overview of computer vision
• Deep learning for computer vision
• Introduction to Azure AI Vision
• Introduction to Azure AI Custom Vision
• Introduction to facial analysis and Azure AI Face
• Practical application of computer vision in business
• Creating an Azure AI Vision, Custom Vision, and Face resource
• Azure AI Vision demo
• Azure AI Custom Vision demo

4. Natural Language Processing

• Overview of natural language processing
• Introduction to Azure AI Language
• Introduction to Azure AI Translator
• Understanding speech recognition and synthesis
• Introduction to Azure AI Speech
• Practical application of natural language processing in business
• Creating an Azure AI Language and Azure AI Speech resource
• Azure AI Language demo
• Azure AI Speech demo

5. Document Intelligence, Content Safety, and Knowledge Mining

• Overview of document intelligence
• Azure AI Document Intelligence
• Introduction to Azure AI Content Safety
• Understanding knowledge mining and the elements of a search solution
• Introduction to Azure AI Search
• Practical application of these technologies in business
• Azure AI Document Intelligence demo
• Azure AI Content Safety demo
• Azure AI Search demo

6. Generative AI

• Overview of generative AI
• Traditional model development vs. foundation models
• Token, embeddings, transformer model
• Using language models: LLM vs. SLM
• Improving your prompts
• Introduction to Microsoft Copilot
• Customizing language models
• Introduction to Azure AI Foundry
• Introduction to Azure OpenAI
• Practical application of generative AI in business
• Azure AI Foundry demo

7. Responsible AI

• Importance of responsible use of AI
• Achieving AI fairness
• Achieving AI reliability and safety
• Achieving AI privacy and security
• Achieving AI inclusivity
• Achieving AI transparency
• Achieving AI accountability
• Real-life samples of responsible AI

8. Transform Your Business with Microsoft AI

• Microsoft AI approach
• Creating an AI strategy for your business
• AI opportunities in different industries
• Career opportunities in AI

Conclusion

• Key takeaways from the course
• Resources for further learning