AI Prompt Engineering Foundations

Prompt Engineering Foundations

Climb the Ladder from “Single Prompt” to Multi-Agent Mastery. This foundational program teaches you how to design, test, and secure prompts across six modules, progressing from baseline clarity to multi-agent orchestration. By the summit, you’ll be equipped to deploy reliable, ethical, and scalable AI outputs across any role or industry.

Learning Objectives

• Articulate the baseline ingredients of a good prompt and demonstrate cheat-sheet tuning (tone, role, goal).
• Employ concise 3-step frameworks (RTF, TAG, BAB) to create goal-oriented micro-content.
• Inject context and examples with 4-step scaffolds (CARE, RISE, RACE) to cut hallucinations by ≥30%.
• Build multi-section outputs (reports, SOPs) using 5-step frameworks (ROSES, COAST, TRACE, RACEF).
• Expose and critique model reasoning with Chain-of-Thought, Chain-of-Destiny, and Playoff methods.
• Orchestrate Tree-of-Thought, Society-of-Mind, SEPE loops, multimodal prompts, plugins, and red-teaming.

Who Should Enroll

• Content strategists, copywriters, marketers: Turn AI into a 24/7 ideation partner for brand-consistent copy.
• Product & UX managers: Rapidly prototype in-app copilots, conversation flows, and bots.
• Developers, data scientists, AI engineers: Tighten model instructions, cut hallucinations, embed SEPE loops.
• Business leaders & entrepreneurs: Spot ROI inflection points, mitigate risk, and build guardrails.
• Educators & L&D professionals: Design adaptive prompts for personalized learning and integrity.
• Compliance, risk & AI-ethics professionals: Stress-test models, adversarial prompts, and governance scaffolds.

Prerequisites

• Clear written communication skills
• Access to any modern LLM (ChatGPT, Claude, Gemini—free tier OK)
• Basic computer literacy (copy-paste, research, file sharing)
• Recommended: Prior chat experience, Markdown or spreadsheet comfort, access to multimodal or plugin models
• No coding required (optional Python/API stretch goals provided)