Building AI-Ready Applications with Azure Databases and AI
33mIntermediate2024-12-18
Authors
Muazma Zahid
Principal Engineering Manager at Microsoft and President of PWiC
Course details
In this course, explore how to build AI-ready applications using the robust data and AI services in Azure. From data preparation to interacting with language models, instructor Muazma Zahid covers essential topics for creating intelligent solutions. Muazma delves into advanced techniques such as retrieval-augmented generation (RAG) and shows you how to harness the power of large language models (LLMs) to enhance your applications.
Skills covered
TelecommunicationsNatural Language Processing (NLP)Cloud AdministrationFull-Stack Web DevelopmentAzureCloud PlatformsArtificial Intelligence (AI)Web DevelopmentNetwork and System AdministrationCloud ComputingMicrosoftDeep Dive (X:Y)
Concepts
0. Introduction
- 01 - AI-ready applications unveiled
1. Unlocking AI s Potential - An Overview
- 02 - Understanding the impact of AI in modern applications
- 03 - AI in action - Real-world app examples
2. Azure Data Services for AI
- 04 - Azure data services - An AI foundation
- 05 - Data preparation and quality for AI applications
3. Vector Data and Embeddings
- 06 - Understanding vector data and embeddings
- 07 - Exploring distance metrics
- 08 - Indexing and search techniques
4. RAG - State-of-the-Art Retrieval
- 09 - Introduction to retrieval-augmented generation (RAG)
- 10 - Implementing RAG with Azure
- 11 - RAG use cases and best practices
- 12 - Microsoft Copilot stack overview
5. AI Ethics and Responsible AI
- 13 - AI fairness - Bias mitigation techniques
- 14 - Responsible AI tools and processes
Conclusion
- 15 - AI-ready journey - Your next steps