The purpose of this training is to clearly understand LLM fundamentals (token, prompt, embedding/vector), develop a hands-on example using a basic RAG approach, and teach tool/service integration via the Model Context Protocol (MCP). The training aims to provide a production-oriented mindset with enterprise-scale best practices such as security, versioning, testing, and observability.
Learning Outcomes
- Understand token, prompt, and embedding/vector concepts
- Integrate local or enterprise services with LLMs via MCP and build a design-to-code prototype using FigmaMCP
- Apply security, versioning, testing, and observability best practices in production-focused workflows
Audience
- Backend, Frontend, and Mobile Developers
- Product and Prototyping Teams
- Teams adopting LLM-assisted development within IDEs