This advanced prompt engineering course is designed for developers and AI enthusiasts who want to go beyond basic prompting and build powerful workflows using large language models (LLMs). It focuses on practical applications of AI in software development, automation, and engineering productivity.
The course begins with advanced prompting concepts applied to real codebases, showing how prompts can be used to generate, analyze, and optimize full projects such as data analytics systems and AI agents connected to databases like PostgreSQL.
Learners explore how to use LLMs for rapid learning and productivity, including techniques for mastering tools and frameworks quickly using structured prompts and AI-assisted guidance.
A major focus is on one-word prompting techniques and minimal input strategies that still produce high-quality, targeted outputs from AI systems.
The course also covers prompt engineering for frontend and backend developers, showing how AI can assist in UI development, coding tasks, and system design.
Additionally, learners are introduced to AI coding assistants and tools for comparing models, prompts, and outputs using structured evaluation frameworks.
Testing and optimization of prompts are also covered through test-driven prompt engineering, helping learners evaluate and refine prompts systematically for better performance.
By the end of this course, learners will unde
