What you'll learn:
- How to interact with LLMs using Python and JavaScript, with real-world code examples and APIs.
- Best practices for designing and refining prompts, including few-shot, zero-shot, and prompt templates.
- Tools for integrating LLMs into front-end applications, chatbots, and automated workflows.
- Using low-code tools to build powerful automations like email responders, sentiment analysis engines, and data pipelines.
- Optimization techniques for performance, cost, and scalability in LLM-driven systems.
Perfect for hackathon builders, MVP developers, or anyone looking to harness AI for fast, tangible output.