This advanced course is built for professionals who already have the fundamentals of AI prompt engineering down and are ready to move past basic prompting into more precise prompt design and reasoning control.
Building on those foundational prompt engineering concepts, this course digs into how experienced users design prompts with real intent, not just to get a response, but to guide reasoning, bring uncertainty to the surface, cut down on errors, and boost reliability in complex professional situations. You'll learn how to design multi-prompt systems, put self-critique and adversarial prompting to work, handle ambiguity and uncertainty, and evaluate AI output with comparative techniques. The focus stays on advanced cognitive strategies rather than specific tools or automation, which keeps the course broadly useful across all kinds of roles and industries.
What You Will Learn
- Build multi-prompt systems that split complex tasks into controlled reasoning stages
- Put self-critique and adversarial prompting to work to spot weaknesses and cut down on AI errors
- Use constraint-first prompting to manage scope, exclusions, and what counts as acceptable output
- Prompt AI systems to flag uncertainty instead of guessing or making things up
- Evaluate AI output with comparative prompting and confidence calibration techniques
- Fine-tune your prompts for clarity, efficiency, and repeatability without giving up quality
Course Outline
Module 1: Prompt Architecture & Multi-Prompt Systems
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Explain the difference between single-prompt tasks and multi-prompt reasoning systems.
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Decompose complex work into discrete prompt roles.
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Design a coordinated set of prompts that each serve a specific reasoning function.
Module 2: Reasoning Control Through Self-Critique & Adversarial Prompting
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Use self-critique prompts to identify weaknesses in AI outputs.
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Apply adversarial prompting to surface gaps, risks, and assumptions.
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Improve output quality without adding new source material.
Module 3: Constraint-First Prompting & Uncertainty Control
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Design prompts that explicitly control scope, exclusions, and failure conditions.
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Instruct AI to surface uncertainty instead of guessing.
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Reduce hallucinations by shaping acceptable behavior in advance.
Module 4: Comparative Prompting & Prompt Optimization
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Use comparative prompting to identify weaknesses and inconsistencies.
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Evaluate outputs by analyzing disagreement across prompts.
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Optimize prompts for efficiency without degrading output quality.
This course is available for 30 days. You can choose when to start your access period. Once you activate, you will have 30 days to complete it (access the course materials, quizzes, projects and videos). You may request one extension of seven (7) days. Other extension requests will be evaluated on a case-by-case basis. Videos are not downloadable.
