Prompting Mastery
A 55-minute deep dive for power users and developers — structured outputs, chain-of-thought, few-shot, and the prompt library habits that compound.
Last updated: 2026-05-19
What you'll learn
By the end of this course you'll be able to:
- The five principles that separate amateur prompts from professional ones
- How to force structured outputs (JSON, tables, schemas) reliably
- When chain-of-thought reasoning helps — and when it slows you down
- Few-shot patterns that improve consistency across runs
- How to evaluate outputs without "vibe-checking" them
- Building a prompt library your team will actually reuse
Who this is for
Power users, analysts, and developers who already use ChatGPT, Claude, or Copilot daily and want to move from ad-hoc prompts to repeatable, evaluable patterns. Especially valuable for teams in GCC, India, and SEA that are operationalizing prompts as part of internal tools or shared playbooks.
Curriculum
8 chapters · 2 hands-on exercises · capstone challenge
Each chapter ends with the learning objectives ticked off. Quizzes are auto-graded with feedback; exercises are open-ended and produce artifacts you can take to your team.
1. Prompting principles
- Apply the five core prompting principles to any task
- Spot the three habits that produce inconsistent outputs
2. Structured outputs (JSON)
- Design prompts that return parseable JSON every time
- Handle schema drift and validation failures gracefully
3. Chain-of-thought reasoning
- Apply chain-of-thought where it genuinely helps
- Avoid the over-reasoning trap that adds latency without accuracy
4. Few-shot patterns
- Design few-shot examples that generalize, not memorize
- Spot when few-shot makes outputs worse, not better
5. Evaluating outputs
- Build a lightweight eval set for any recurring prompt
- Move from vibe-checking to repeatable scoring
6. Prompt libraries and reuse
- Design a prompt library structure that scales with the team
- Apply versioning and ownership to prompts like code
7. Edge cases and adversarial prompts
- Identify prompt-injection and jailbreak patterns
- Apply defenses that work in production, not just demos
Capstone: Capstone: Your team prompt library
- Author 5 reusable prompts with structure, examples, and evals
- Define the contribution and review process for the library
Capstone deliverable: Every learner who completes this course produces «Your 5-Prompt Team Library» — a tangible artifact you take back to your organization.
Curriculum live · full chapter content rolling out through 2026.
The outline, learning objectives, references, and capstone deliverable are published. Full chapter content (video, narration, exercises) ships progressively. Get notified when each chapter goes live.
References & sources
Built on cited sources — not vibes.
Every course is researched fresh against vendor documentation, regulatory sources, and peer-reviewed work. Sources used in this course:
OpenAI Prompt Engineering Guide
OpenAI · Source link
Anthropic Prompt Engineering Documentation
Anthropic · Source link
OWASP Top 10 for LLM Applications
OWASP Foundation · Source link
NIST AI Risk Management Framework
NIST · Source link
Course details
Track
Foundations
Level
Intermediate
Audience
Individual contributor, Manager, Technical practitioner
Industry
Cross-Industry
Stack
Stack-agnostic
Paired Gennoor Way phase
train
Format
video, reading
You finished the course. Now what?
From course to outcome.
Reading this course is step one. The next step is applying it where you work. Here's how Gennoor helps — without the deck, without the pitch.
Run this for your team
A 2-day workshop or virtual cohort for up to 25 of your people, with exercises run on your data and a 30-day adoption plan.
From $5k · 2 weeks · function-specific
Apply this to your data
A 4–6 week pilot that takes what you learned and ships a working system inside your environment. Fixed scope, fixed price, code transferred day one.
From $25k · 6 weeks · production-grade
Just want to talk?
Free 30-minute call. No deck, no pitch. We listen to your situation and tell you honestly what makes sense — even if it isn't us.
Free · no commitment · 30 minutes
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