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Course Overview
Prompting is the single highest-leverage skill in applied AI. Written well, it replaces months of engineering. Written badly, it replaces nothing.
Prompt Engineering Pro is an advanced course for professionals who have used generative AI and now need to prompt at a professional standard — for production workflows, customer-facing applications, or repeatable organisational use. It is not a beginner course; delegates are expected to have several months of regular AI tool use before attending.
The course covers the discipline of prompt engineering across all major frontier LLM providers (Claude, GPT, Gemini), focusing on patterns that produce reliable, reproducible, measurable output. We cover prompt structure, chain-of-thought, few-shot and zero-shot approaches, prompt chaining, retrieval-augmented generation (RAG) prompting, and evaluation methods.
Delegates leave with a personal prompt library built in the classroom around their actual use cases, a structured methodology for prompt testing and iteration, and the evaluation skills to distinguish prompts that work consistently from prompts that work by luck. The course is especially valuable for professionals whose role involves building AI into products or operational workflows.
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Course content
Three advanced modules, each combining deep theory with intensive hands-on practice on your own use cases:
Module 01 · Structure & patterns — 5 hours
- The anatomy of a professional prompt: context, role, task, constraints, examples, output format
- Zero-shot, few-shot, and chain-of-thought: when to use which
- System prompts vs. user prompts: architectural choices across providers
- Prompt patterns: role-play, step-by-step, critique-and-revise, persona
- Provider differences: how Claude, GPT, and Gemini respond to different structures
- Exercise: rewrite three of your existing prompts to professional standard
Module 02 · Chains, RAG & advanced techniques — 5 hours
- Prompt chaining: breaking complex tasks into verifiable steps
- Retrieval-augmented generation (RAG): prompting with injected context
- Structured output: JSON, XML, and schema-constrained responses
- Agentic patterns: self-correction, tool use, planning prompts
- Prompt injection and security: what to worry about in production
- Exercise: build a multi-step prompt chain for a workflow in your domain
Module 03 · Testing, evaluation & production — 5 hours
- The prompt evaluation mindset: consistency, accuracy, robustness
- Building test sets for prompts: representative inputs, edge cases, regressions
- Automated prompt evaluation: what to measure, how to measure it
- Version control for prompts: treating prompts as production artefacts
- Prompt management in production: tooling, deployment, monitoring
- Exercise: build an evaluation harness for one of your production prompts
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What You'll Gain from This Course
A personal production-grade prompt library
A curated collection of prompts built around your actual use cases, refined through iteration and evaluation in the classroom — ready for immediate deployment.
Deep fluency across major LLM providers
Hands-on experience with Claude, GPT, and Gemini — knowing when to use which, and how to structure prompts for each to get optimal output.
A structured prompt testing methodology
The skills and templates to build test sets, measure prompt quality, and distinguish prompts that work from prompts that happen to work today.
Prompt chain and RAG design skills
The ability to decompose complex tasks into verifiable prompt chains, and to design RAG systems that reliably ground AI responses in your own data.
Production-readiness
Version control, monitoring, and evaluation approaches for treating prompts as production artefacts — not experimental scratchwork.
Co-branded certification
Certificate of completion jointly issued by Axonforce and Acudemy, recognising professional-grade prompt engineering capability.
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Who Should Attend?
This course is designed for:
AI practitioners and engineers
Developers, ML engineers, and AI practitioners building LLM-powered features into products — who need rigorous prompt engineering craft.
Technical product managers
PMs working on AI-enabled products who need to write, review, and evaluate prompts themselves rather than delegating to engineers.
AI automation specialists
Professionals building AI automations in n8n, Zapier, Make, or custom systems — where prompt quality directly determines output reliability.
Data scientists and analysts
Data professionals incorporating LLMs into analytical workflows — especially for text processing, classification, and synthesis tasks.
Prompt engineers and AI operations
Dedicated prompt engineering roles and AI ops specialists responsible for prompt libraries and LLM deployment in organisations.
Technical consultants and trainers
Consultants who advise clients on AI implementation, and trainers teaching AI skills to others — who need advanced competency beyond introductory prompting.
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FAQs
How advanced is this course?
It is an advanced course. Delegates should have at least 3 months of regular AI tool use and should have produced practical output with AI tools before attending. If you are new to generative AI, we recommend Generative AI for Business as a starting point.
Do I need coding skills?
Helpful but not mandatory. Some exercises (prompt chains, RAG, structured output) benefit from basic coding familiarity. We provide no-code alternatives for every exercise. Delegates with coding backgrounds get more out of Module 03.
Which LLM providers do we work with?
Primarily Claude (Anthropic), GPT (OpenAI), and Gemini (Google). We also touch on open-source models (Llama, Mistral) where relevant. The course is provider-agnostic in its methodology.
Is AI tool access included?
Yes. Access to all the LLM providers used during the course is provided for the duration of the programme.
What do I need to bring?
A laptop with a modern browser. Bring examples of your existing prompts (3–5 of your current production or frequent-use prompts) — they will be the raw material for several exercises.
Will I receive a certificate?
Yes. All participants receive a co-branded Certificate of Completion from Axonforce and Acudemy.
Can this course be customised for our AI team?
Yes — bespoke advanced cohorts for AI teams, including work on your specific production prompts, can be arranged through Acudemy.
What language is the course delivered in?
English.
What is provided with the course?
Full course materials, the Axonforce prompt pattern library, prompt evaluation templates, a RAG starter template, and a co-branded certificate. Optional advanced follow-up sessions available.