Programming Large Language Models with Azure Open AI

Use LLMs to build better business software applications

Autonomously communicate with users and optimize business tasks with applications built to make the interaction between humans and computers smooth and natural. Artificial Intelligence expert Francesco Esposito illustrates several scenarios for which a LLM is effective: crafting sophisticated business solutions, shortening the gap between humans and software-equipped machines, and building powerful reasoning engines. Insight into prompting and conversational programming—with specific techniques for patterns and frameworks—unlock how natural language can also lead to a new, advanced approach to coding. Concrete end-to-end demonstrations (featuring Python and ASP.NET Core) showcase versatile patterns of interaction between existing processes, APIs, data, and human input. 

Artificial Intelligence expert Francesco Esposito helps you:



Understand the history of large language models and conversational programming
Apply prompting as a new way of coding
Learn core prompting techniques and fundamental use-cases
Engineer advanced prompts, including connecting LLMs to data and function calling to build reasoning engines
Use natural language in code to define workflows and orchestrate existing APIs
Master external LLM frameworks
Evaluate responsible AI security, privacy, and accuracy concerns
Explore the AI regulatory landscape
Build and implement a personal assistant
Apply a retrieval augmented generation (RAG) pattern to formulate responses based on a knowledge base
Construct a conversational user interface

For IT Professionals and Consultants



For software professionals, architects, lead developers, programmers, and Machine Learning enthusiasts
For anyone else interested in natural language processing or real-world
applications of human-like language in software