Skip to main content
Back to Academy catalog
FoundationsIntermediate

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.

55 min·8 chapters·Individual contributor · Manager · Technical practitioner·Free

Last updated: 2026-05-21

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

1. Prompting principles

7 min
  • Apply the five core prompting principles to any task
  • Spot the three habits that produce inconsistent outputs
2

2. Structured outputs (JSON)

7 minQUIZ
  • Design prompts that return parseable JSON every time
  • Handle schema drift and validation failures gracefully
3

3. Chain-of-thought reasoning

7 min
  • Apply chain-of-thought where it genuinely helps
  • Avoid the over-reasoning trap that adds latency without accuracy
4

4. Few-shot patterns

7 minEXERCISE
  • Design few-shot examples that generalize, not memorize
  • Spot when few-shot makes outputs worse, not better
5

5. Evaluating outputs

7 minQUIZ
  • Build a lightweight eval set for any recurring prompt
  • Move from vibe-checking to repeatable scoring
6

6. Prompt libraries and reuse

6 min
  • Design a prompt library structure that scales with the team
  • Apply versioning and ownership to prompts like code
7

7. Edge cases and adversarial prompts

7 minEXERCISE
  • Identify prompt-injection and jailbreak patterns
  • Apply defenses that work in production, not just demos
8

8. Making your library stick

7 min
  • Pick the owner, ritual, gates, and contribution path your library needs
  • Run the 4-week rollout plan to lock the pattern on your team

Interactive Course · Free

Full web-rendered experience available now.

All 8 chapters live with interactive slides, audio narration, mock-exam practice, and cross-device progress tracking. The first two chapters are accessible without an account.

Take the interactive course

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