Large Language Models (LLMs) such as GPT-4o, Claude, and Gemini can synthesize text, code, and knowledge at human-like quality. Prompt engineering—the craft of structuring inputs to guide an LLM—unlocks that power for day-to-day software projects. This masterclass shows how to blend LLM APIs with familiar cloud patterns (microservices, event streams, caches) so your apps become smarter while staying reliable, secure, and cost-efficient.
 

• Demo: Wrap an Open AI endpoint in a microservice, add prompt templates, and call it from a React front-end.
• RAG: Ingest product FAQs into a vector store, then let an LLM answer support questions with citations.
• Streaming Workflows: Show how Kafka events trigger summarization of user activity or real-time language translation.