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 OpenAI 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.
Rosafeed is a seasoned software engineer with over 4 years of experience building scalable, high-performance applications using Java, Spring Boot, Angular, and other modern technologies. He combines strong technical expertise with leadership skills to deliver innovative solutions. Passionate about mentoring and technical content creation, Roosafeed is driven by a mission to make technology more accessible while continuously exploring advancements in the tech world.
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