AI Prompt Engineering for B2B SalesPremium
Master structured extraction, grounding, and personalization. Build LLM pipelines that never hallucinate. 9 modules, 19 lessons, 5+ hours of reading.
The curriculum
9 modules · 19 lessons · 302 minutes of reading
Prompting 101 (The Basics)
How LLMs predict tokens, the anatomy of a prompt, and why models hallucinate.
Outcome: You understand the underlying mechanics of AI, ensuring you never write a 'hopeful' chatbot prompt for a production system again.
Structured Outputs & Self-Healing
OpenAI Structured Outputs, JSON schemas, catching parse errors.
Outcome: You guarantee the AI returns mathematically perfect JSON every single time, preventing downstream workflow crashes.
Tone Matching & Personalization at Scale
Banning 'AI speak', negative constraints, few-shot prompting.
Outcome: You generate outbound emails that pass the 'human smell test', doubling reply rates compared to generic AI copy.
Context Window Engineering
Hierarchical XML tagging, RAG basics, pre-filling assistant responses.
Outcome: You can feed an LLM 100 pages of a company's documentation and extract the exact pain points without the model losing focus.
Cost & Latency Engineering
Model routing (Haiku vs Sonnet vs Opus), prompt caching, batching.
Outcome: You drop your AI enrichment costs by 80% while maintaining the exact same data quality and pipeline output.
Automated Evaluation (Evals)
Building an eval pipeline, rubric engineering, LLM-as-a-Judge.
Outcome: You stop guessing if a prompt is better and start proving it with hard data across hundreds of edge cases before shipping.
Fine-Tuning vs Prompting
When prompting hits a ceiling, formatting training data.
Outcome: You know exactly when to invest in a fine-tuned model to solve edge cases that raw prompting can never fix.
Agentic Workflows for GTM
Function calling, building a multi-step research agent.
Outcome: You deploy autonomous agents that do the work of a junior SDR, researching and qualifying accounts while you sleep.
Capstone - Cold Email Personalization Engine
Build a stripped-down version of an engine that researches, scores, and drafts.
Outcome: You possess a production-ready, highly valuable GTM asset you can deploy internally or sell to clients as a service.