GenAI Model Access Layer and Structured Outputs
Production API patterns, structured & validated outputs, function calling, multimodal pipelines and quality.
Complete reference documentation for production-ready GenAI model access patterns.
Unlike simple prototypes, production integrations must reliably handle authentication, rate limiting, timeouts and failures to avoid service disruptions. Effective patterns must include: abstracting provider-specific logic, supporting streaming, implementing fallback strategies and optimizing costs.
Sign in to read this course
A free account unlocks all 514 courses. 20 are readable without one.
What's inside
11 sections- 1 Table of Contents
- 2 Module 1 — Production-ready API Patterns for GenAI
- 3 Module 2 — Structuring and Validating Output Generation
- 4 Module 3 — Advanced Prompting for Production Systems
- 5 Module 4 — Function Calling Architectures for GenAI
- 6 Module 5 — Multimodal GenAI Pipelines
- 7 Module 6 — Fine-tuning and Model Customization
- 8 Module 7 — Ensuring LLM Output Quality and Reliability
- 9 Overall Architecture
- 10 Flow: Structured Output Pipeline
- 11 Key Concepts — Summary
More LLM Application Development courses
View all 14Developing Generative AI Applications with Python and OpenAI
Use the OpenAI API end to end: GPT models, prompt engineering, practical apps and building your own chatbot.
Practical Application of LLMs
Hands-on LLM use cases — sentiment analysis, summarization, fine-tuning, RAG and building AI agents.
Aligning Generative AI with Business Cases
Evaluate and leverage generative AI, building agents with Semantic Kernel, plugins and RAG vector stores.
Data Analysis with Generative AI
Use AI tools for exploratory data analysis, analysis and generating polished analytical reports.
Choosing Open-source LLMs
Evaluate open-source LLMs for performance, usability, licensing and practical deployment constraints.
Deploying Open-source LLMs
Select deployment strategies, configure the technical environment and optimize open-source LLMs for production.
Interested in this course?
Contact us to book it or get a custom training plan for your team.