A practical guide to Azure AI Studio for building, testing, and deploying AI models and generative AI applications at scale.
Chapters
Setting Up Your Development Environment
20 min read
Foundations of Generative AI and LLMs
25 min read
Navigating the Azure AI Model Catalog
15 min read
Core Prompt Engineering Techniques
20 min read
Advanced Prompt Chaining and Logic
25 min read
Introduction to Azure AI Search and RAG
20 min read
Data Ingestion and Indexing Strategies
25 min read
Fine-Tuning Models for Custom Tasks
25 min read
Evaluating Model Performance and Quality
20 min read
Implementing AI Safety and Content Filtering
15 min read
Building Custom AI Agents
25 min read
Function Calling and External Tool Integration
20 min read
Orchestration with Prompt Flow
25 min read
CI/CD Pipelines for AI Applications
20 min read
Monitoring, Logging, and Observability
20 min read
Deployment Strategies and Scalability
25 min read
Cost Management and Governance in Azure AI
15 min read
Building Production-Ready Enterprise Solutions
20 min read
Career Roadmap and Future Trends in AI
15 min read