Advanced · 16 Lessons · 6 Hours

Master Prompt Engineering at a Professional Level

The complete advanced curriculum — chain-of-thought variants, reasoning models, meta-prompting, DSPy, structured outputs, and production-grade evaluation. In one focused workbook.

Instant PDF download · Personal & educational use
Advanced Prompt Engineering workbook cover
16
Lessons
6h
Learning
Advanced
Level
PDF
Format
What you’ll master

The full advanced toolkit

Six capability areas that separate competent prompters from practitioners who build reliable AI systems.

chain.thought
CoT Mastery
Chain-of-thought, self-consistency, tree-of-thought, and extended thinking — when to use each and why.
meta.prompting
Meta-Prompting
Automatic prompt optimization, self-refinement loops, and DSPy-style programmatic prompt engineering.
system.arch
System Prompts
Production-grade system prompt architecture, persona engineering at depth, and pipeline design.
structured.out
Structured Output
Engineering reliable JSON, function schemas, and typed outputs for downstream systems.
eval.testing
Prompt Evaluation
Build evaluation frameworks, regression suites, and the discipline of testing prompts like code.
prod.systems
Production Engineering
Cost management, latency optimization, fallbacks, and scaling prompts in live systems.
Part 1 — Reasoning Foundations (Lessons 1–7)
L01
How Language Models Actually Think
The mental model every advanced practitioner needs before writing a single prompt.
20 min
L02
Chain-of-Thought Mastery
Zero-shot vs. few-shot CoT, rationale design, and where CoT breaks down.
22 min
L03
Self-Consistency and Sampling Strategy
Majority voting, temperature tuning, and getting reliable answers from stochastic models.
20 min
L04
Tree-of-Thought: Deliberate Problem Solving
Structured branching, backtracking, and heuristic evaluation for hard reasoning tasks.
22 min
L05
Extended Thinking and Reasoning Models
When to use o1/o3/Claude extended thinking, cost trade-offs, and prompt patterns.
24 min
L06
Step-Back Prompting and Abstraction
Zooming out before diving in: the abstraction technique that solves a surprising range of problems.
20 min
L07
Advanced Few-Shot Engineering
Example selection, ordering effects, contrastive prompting, and format-matched demonstrations.
22 min
Part 2 — Systems and Production (Lessons 8–16)
L08
System Prompt Architecture for Production
Layered instructions, constraint hierarchies, and prompt hygiene at scale.
24 min
L09
Persona Engineering at Depth
Identity, voice, stance, and consistency across long conversations and edge cases.
22 min
L10
Prompt Chaining and Pipeline Design
Multi-step workflows, inter-prompt data passing, and recovering from mid-chain failures.
22 min
L11
Meta-Prompting and Automatic Optimization
DSPy, prompt optimizers, and teaching the model to improve its own instructions.
24 min
L12
Self-Refinement and Critique Loops
Constitutional AI patterns, iterative critique, and building self-correcting agents.
22 min
L13
Structured Output Engineering
JSON schemas, function calling, grammar-constrained decoding, and downstream integration.
22 min
L14
Prompt Evaluation and Testing
Eval datasets, LLM-as-judge, regression suites, and shipping prompts with confidence.
24 min
L15
Production Prompt Engineering
Cost control, latency budgets, fallback chains, versioning, and observability.
24 min
L16
The Discipline of Prompt Engineering
What separates craft from guesswork: reproducibility, documentation, and long-term mastery.
24 min
What’s included

Everything in the workbook

Designed for developers, prompt engineers, and power users who want to master the craft.

16 fully written, structured lessons
~6.0 hours of focused learning
Learning objectives for every lesson
Key takeaways — what you must remember
Practical exercises throughout
Real example prompts and templates
Advanced level — no fluff, no padding
Personal & educational use license

Ready to go deep?

16 lessons. 6 hours. The complete advanced curriculum — yours to keep offline, forever.

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Instant PDF download · Personal & educational use license