This advanced Prompt Engineering and AI Agents course is designed for developers, engineers, and AI enthusiasts who want to build smarter AI workflows and modern AI-powered applications. The course explores advanced prompting techniques, prompt chains, AI testing methods, and practical AI engineering strategies using today’s leading large language models.
Students will learn how to create reliable AI agents for decision-making, self-correcting systems, and automated workflows. The course also covers AI-assisted software development with GitHub Copilot, AIDER, and frontend engineering prompts for faster coding and UI development.
You will explore LLM benchmarking, compare models like GPT, Gemini Pro, Anthropic Opus, and Groq LPU, and understand the strengths of different AI providers. The course includes practical lessons on local on-device LLMs, database AI agents with PostgreSQL analytics, and prompt testing using Promptfoo.
Additionally, learners will discover efficient learning techniques using LLMs, advanced one-word prompting strategies, and future AI industry trends. By the end of the course, students will gain practical AI engineering skills for building scalable AI applications and advanced automation systems.
