Advanced Prompt Engineering
Transform your AI interactions from vague requests into precise, reliable results.
What Changes When Your Team Masters
Advanced Prompt Engineering?
50% of AI users say quality control of AI output is one of the human skills becoming more important as AI takes on more work. Better prompts are only the beginning. Knowing how to control, verify, and improve AI outputs is the real skill.
What your team
walks away with.
Everything your team
will actually cover.
01 LLM & Prompting Fundamentals: How Models Actually Generate Output
02 Structuring High-Precision Prompts
03 Advanced Reasoning Techniques: Chain-of-Thought, Few-Shot & Reflection
04 Grounding Prompts in Your Own Data
05 Controlling AI Quality & Hallucination
06 Building Reusable Prompt Templates & Team Libraries
07 Prompting for Business Workflows
08 From Prompts to Agents: Automation & What's Next
Hear from teams
we've trained.
“We received a solid foundation covering generative AI and RAG. The trainer never cut content to stick to the scheduled time and went beyond the allotted hours to cover everything we asked for.”
“The team was able to arrive at the same level of understanding. We're looking forward to launching agents and agentic workflows in the next few sprints, and we would look forward to collaborating again for another engagement.”
Sample trainer
profiles.
Seventeen years spanning data, cloud, automation and DevSecOps, now leading applied AI engineering at a global financial-data enterprise. Published author on generative AI.
Runs cross-functional GenAI programs for QA, dev, DevOps, data and leadership teams across four countries. Internationally certified AI trainer, Singapore-accredited.
Twelve years of hands-on automation across fintech and payments-scale platforms. Speaks and organizes meetups across the European QA community, with 863 learner reviews to date.
Profiles are anonymized at this stage. Full profiles are shared once we scope your program.
REQUEST TRAINER PROFILESChoose how
your team learns.
What makes
us different.
THE TEST TRIBEFrequently asked
questions.
What is advanced prompt engineering?
Advanced prompt engineering goes beyond typing a question into a chatbot. It is about structuring prompts with explicit role, constraints and output format, applying techniques like chain-of-thought and few-shot examples, and building reusable, verified prompt templates instead of starting from scratch every time.
Is prompt engineering still a useful skill as AI models improve?
Yes. Better models raise the ceiling on what’s possible, but they don’t remove the need to specify intent, constraints and output format clearly. The skill has shifted from finding tricks to make a weak model work, toward structuring precise instructions and building reusable systems on top of a strong one.
What is chain-of-thought prompting?
Chain-of-thought prompting asks a model to reason step by step before giving a final answer, rather than jumping straight to a conclusion. It typically improves accuracy on multi-step analysis, math and decision-making tasks.
How do you stop AI from hallucinating in business reports?
Ground the prompt in your own source documents instead of relying on the model’s memory, ask it to cite where each claim came from, add verification prompts that surface uncertainty, and keep a human review checkpoint before anything goes out. This program builds all four into one workflow.
Is this training only for developers or technical teams?
No. This program is built for professionals across every function: sales, marketing, operations, finance, product, analysts and engineering/QA alike, since the core skill is precise, structured communication with an AI system, not writing code.
What's the difference between prompting a chatbot and prompting an agent?
A single-shot chat prompt gets one response back for you to act on. Prompting an agent means giving instructions for a system that can use tools, handle files and execute multiple steps toward a goal on its own, which is why it needs its own instructions and review discipline, covered in the closing module.
Do I need to know how to code?
No. Coding is not a prerequisite. The course focuses primarily on prompt design, reasoning, context control, grounding, evaluation, reusable templates, and business workflows. Technical concepts are introduced where they add value.
Are there any prerequisites for this training?
No prerequisites are required. Participants do not need prior prompt engineering experience. The program starts with LLM fundamentals before progressing into advanced prompting and workflow techniques.
Let's
talk
Tell us where your team is today. We'll map the shortest path according to your team needs, with the right curriculum, trainers and outcomes committed before we start.