"Our tailored course provided a well rounded introduction and also covered some intermediate level topics that we needed to know. Clive gave us some best practice ideas and tips to take away. Fast paced but the instructor never lost any of the delegates"
Brian Leek, Data Analyst, May 2022
Requirements translation workshop:
taking a vague business request and turning it into a precise, testable AI system requirement together
Scope definition exercise:
writing explicitly what the system will do and equally what it will not do, to prevent scope creep and misalignment
System prompt writing lab:
drafting prompts, testing them against examples, and documenting the rationale for every significant design decision
Input and output specification:
defining formats, field names, data types, and worked example payloads that a developer can code directly to
Acceptance criteria workshop:
writing criteria clear enough that a developer knows what to build and a tester knows what to verify
Data requirements document:
identifying sources, access methods, sensitivity classifications, and how often data needs to be refreshed
Integration mapping:
listing every existing system the AI will connect to, the method of connection, and the data flowing in each direction
Fallback specification:
writing in plain language what the system does when the model fails, returns low confidence, or takes too long
Risk register build:
participants identify and score hallucination risk, potential bias, misuse scenarios, and relevant compliance obligations
Deliverable production:
each participant leaves with a completed one-page brief and a full specification document ready for a development team
"Our tailored course provided a well rounded introduction and also covered some intermediate level topics that we needed to know. Clive gave us some best practice ideas and tips to take away. Fast paced but the instructor never lost any of the delegates"
Brian Leek, Data Analyst, May 2022
Sign up for the JBI Training newsletter to receive technology tips directly from our instructors - Analytics, AI, ML, DevOps, Web, Backend and Security.
This practical course teaches participants how to translate business needs into clear, actionable AI system specifications. Learners will transform vague requirements into precise, testable outcomes that development teams can implement with confidence.
The course covers defining project scope, writing effective system prompts, and specifying AI inputs, outputs, and data requirements. Participants will learn how to create acceptance criteria, map integrations, and document data flows across existing systems.
Hands-on workshops explore fallback processes, risk assessment, and strategies for managing AI limitations and compliance requirements. The course emphasises clear communication between business stakeholders, developers, testers, and project teams.
By the end of the course, participants will produce a complete AI project brief and specification document ready for development and delivery.
CONTACT
+44 (0)20 8446 7555
Copyright © 2025 JBI Training. All Rights Reserved.
JB International Training Ltd - Company Registration Number: 08458005
Registered Address: Wohl Enterprise Hub, 2B Redbourne Avenue, London, N3 2BS
Modern Slavery Statement & Corporate Policies | Terms & Conditions | Contact Us
POPULAR
AI training courses CoPilot training course
Threat modelling training course Python for data analysts training course
Power BI training course Machine Learning training course
Spring Boot Microservices training course Terraform training course
