◆ Practitioner Course

Prompt Engineering Mastery

Master the art and science of prompting large language models to get consistently excellent, reliable results for business applications.

⏱ 8 hours

🎓 Intermediate — Basic AI Familiarity Recommended

🏅 Certificate on Completion

📷 Self-Paced + Live Q&A

$397 / one-time

Full lifetime access included

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Lifetime access to all materials
Certificate of completion
Live monthly Q&A sessions
Private community access
30-day money-back guarantee

Curriculum

Course Modules

1
How LLMs Actually WorkA practical mental model of how large language models process and generate text.
2
Prompt Anatomy and StructureThe anatomy of an effective prompt — role, context, instruction, format, and constraints.
3
Core Prompting TechniquesZero-shot, few-shot, chain-of-thought, tree-of-thought, and ReAct prompting patterns.
4
Business Prompting PatternsProven prompt templates for writing, analysis, summarization, extraction, and classification.
5
System Prompts and Custom PersonasBuilding reusable system prompts and AI personas for consistent organizational use.
6
Prompt Testing and EvaluationHow to evaluate prompt quality, catch failure modes, and build reliable prompt libraries.
7
Advanced TechniquesRAG integration, tool use, structured output, and multi-step prompt chains.
8
Building a Prompt LibraryCreating and maintaining an organizational prompt library that scales across teams.

Learning Outcomes

What You'll Be Able to Do

🎯

Expert PromptingWrite prompts that reliably produce high-quality outputs across diverse business tasks.

💡

Pattern RecognitionRecognize which prompting technique to apply for any given business challenge.

⚡

Prompt LibraryBuild and maintain a team prompt library that becomes a persistent organizational asset.

🔧

Failure Mode DetectionIdentify and correct prompt failure modes before they produce business problems.

Your Instructor

Taught by a Practitioner

🎓

Cory Maffeo

AI Strategist & Consultant | Agentive Integrations

Cory brings real-world AI transformation experience across enterprise, government, and SMB contexts. His teaching philosophy is practical-first — every concept is grounded in actual deployment scenarios, not theoretical frameworks. With two decades of leadership experience and hands-on AI consulting work, Cory translates AI complexity into actionable business strategy.

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