Master Azure OpenAI Service with this comprehensive technical handbook covering deployment, fine-tuning, responsible AI, security, and real-world enterprise applications.
Chapters
Provisioning and Architecture Fundamentals
20 min read
Understanding Model Capability and Tokenization
18 min read
The Azure OpenAI Studio Interface
12 min read
API Integration and Authentication Best Practices
22 min read
Prompt Engineering Fundamentals
25 min read
System Message Design and Context Window Management
20 min read
Integrating Data Sources with Azure AI Search
25 min read
Advanced RAG Architectures
25 min read
Implementing Function Calling and Tool Use
22 min read
Fine-Tuning Models for Custom Tasks
25 min read
Security, Identity, and Network Isolation
20 min read
Responsible AI and Content Filtering
18 min read
Monitoring, Logging, and Cost Management
20 min read
Evaluating LLM Performance and Benchmarking
22 min read
Building Agentic Workflows
25 min read
Scaling Enterprise AI Deployments
20 min read
CI/CD Pipelines for LLM-Powered Apps
18 min read
Real-World Enterprise Implementation Case Studies
25 min read
Career Roadmap and Future Trends in Generative AI
15 min read