Prompt Engineering Masterclass
Project-basedGet dramatically better results from any AI tool. A structured, hands-on day that turns guesswork into a repeatable method you can use at work tomorrow.
Program Fee
1-on-1 doubt clearing · WhatsApp group · Post-training Q&A
Request Syllabus / Call BackProgram Overview
Most people who use AI never get past a first draft. This programme fixes that. Over one day you learn how a model actually reads a prompt, and the five things every strong prompt contains. You then work through the techniques that separate a usable answer from a wasted one: few-shot examples, structured input, forcing the output shape, chain-of-thought reasoning, prompt chaining, and grounding the model on your own documents. You finish by learning to evaluate a prompt properly — testing it against a golden set rather than judging by feel — and to defend it against injection and drift. Every technique is practised on all three major tools, so nothing you learn is locked to one vendor. You leave with a working prompt library built around your own job.
What You'll Learn
- Diagnose why any prompt is failing, and rebuild it against a five-part structure
- Control both what the model produces and the exact format it arrives in
- Raise accuracy on hard tasks by directing how the model reasons
- Break large tasks into prompt chains grounded on your own documents
- Prove a prompt works by testing it, rather than assuming it does
- Recognise and defend against prompt injection and instruction drift
- Control token cost and match the model tier to the task
- Move any prompt across Claude, ChatGPT and Gemini
- Build and maintain a reusable prompt library for your role
Who Can Join
- •Writers, content producers and copywriters
- •Analysts and researchers
- •Marketing and communications executives
- •Consultants and managers
- •Anyone already using AI who wants far better output from it
PREREQUISITES
• None
• Basic familiarity with any AI chat tool is helpful but not required
• No coding required
Curriculum
→ Tokens and the context window
→ System, user and assistant roles
→ Sampling controls
→ The anatomy of a strong prompt
→ Lab 0
Total: 7h across 4 modules
Tools & Technologies
Projects Included
- ▹ Lab 0 — Rebuild a weak prompt and compare outputs side by side
- ▹ Lab M01 — Few-shot classifier and schema-locked JSON extractor
- ▹ Lab M02 — One business problem solved three ways: direct, chain-of-thought, self-critique
- ▹ Lab M03 — Golden set, A/B test, and a live prompt-injection attempt, then your own prompt library
Official Certifications
Assessment is continuous and practical: 4 Applied Learning Labs (60%) and an end-of-course practical assessment (40%). Passing mark 80%, plus completion of all 4 labs and full attendance. The CertTulen Course Completion Certificate is awarded on meeting that standard.
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