AI for Product Managers and Business Analysts: From Use Case Discovery to Engineering-Ready Requirements

Training Provider: NTUC LEARNINGHUB PTE. LTD.
Course Reference: TGS-2026065905
S$690
Original: S$2,300
Save S$1,610

About This Course

Artificial Intelligence is evolving rapidly, but effective adoption requires more than selecting a popular tool. Product Managers and Business Analysts must connect business needs with credible technology evidence, organisational readiness and practical delivery requirements.
This three-day course develops the capabilities required to explore emerging AI technologies, analyse business-process flows and interdependencies, monitor relevant market developments, engage external technology partners, evaluate technology options iteratively, and provide recommendations supported by a strong rationale. Learners then translate the validated recommendation into success measures, acceptance criteria and requirements for solution teams.
Through workplace cases, guided research, process mapping, evaluation tools and structured decision-making activities, participants progress from AI opportunity discovery to a defensible adopt, pilot, defer or reject recommendation.

What You'll Learn

• LO 1 : Analyse an organisational business need by mapping the current business-process flow, pain points, stakeholders and process interdependencies;
• LO 2 : Determine suitable information sources, relevant sectors and external partners for exploring emerging ai technologies, and monitor developments in ai products and services;
• LO 3 : Review market research and compare emerging ai technologies against organisational needs, process requirements and industry-accepted technology options;
• LO 4 : Evaluate a shortlisted ai technology against business needs, data, infrastructure and organisational constraints using cost-benefit analysis and structured, iterative evaluation methods;
• LO 4 : Validate the technology evaluation and provide an adopt, pilot, defer or reject recommendation supported by evidence, risks, trade-offs and a strong rationale; and
• LO 5 : Translate the validated recommendation into engineering-ready requirements, success measures, acceptance criteria and a post-recommendation monitoring plan.

Entry Requirements

At least 2 years of working experience in Product Management or Business Analysis
Basic familiarity with Artificial Intelligence (AI), Large Language Models (LLMs)
Ability to use Windows or Mac operating systems in a professional environment
Working proficiency in Microsoft Office applications (Word, Excel, PowerPoint)
Ability to speak, listen, read and write English at a proficiency level equivalent to the Employability Skills Workforce Skills Qualification (ES WSQ) Workplace Literacy (WPL) Level 6

Course Details

Duration 24 hours
Language English
Training Commitment Full Time
Total Enrolled New course
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