Artificial Intelligence (AI)
AI Research Skills: Finding Sources and Verifying Evidence
AI Research Skills: Finding Sources and Verifying Evidence
AI Research Skills: Finding Sources and Verifying Evidence examines practical approaches to artificial intelligence (ai), with attention to use cases, data and system limitations, workflow design, testing and human oversight, and risk controls, evaluation and responsible use.
Start date
15 February 2027
Duration
3 Days
Location
2 venues
Rating
0.0 / 5
Artificial Intelligence (AI)
AI Research Skills: Finding Sources and Verifying Evidence
Dates & venues
2 scheduled deliveries from the live catalogue
Upcoming dates
Open for registration15 February 2027
15 February 2027
Programme essentials
Level
Professional
Language
English
Certificate
BCTCI Certificate of Completion
Group size
Up to 12
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About this course
This course focuses on AI Research Skills: Finding Sources and Verifying Evidence. The proposed learning scope connects core concepts with professional decisions in artificial intelligence (ai). It provides a framework for analysing a workplace situation, comparing options, recognising limitations and planning improvements. The outline describes subject modules rather than a fixed daily timetable; duration and location follow the selected scheduled offering.
Learning objectives
What participants will be able to do after the programme.
- Explain the concepts and practical decisions involved in AI Research Skills.
- Assess use cases, data and system limitations in relation to the course topic.
- Compare approaches to workflow design, testing and human oversight using a relevant workplace scenario.
- Identify evidence needed for risk controls, evaluation and responsible use.
- Develop a workplace application plan with responsibilities, risks and measurable next steps.
Personal impact
How this programme develops the individual professional.
- Strengthen your ability to analyse issues related to AI Research Skills.
- Explain professional recommendations using evidence and clear decision criteria.
- Identify development priorities and practical next steps for your role.
Organizational impact
Benefits your organisation gains from this training.
- Build a shared approach to AI Research Skills.
- Support clearer responsibilities, risk awareness and evidence-based decisions.
- Connect improvement proposals to measurable operational outcomes.
Programme outline
Day-by-day structure of the classroom sessions.
- 1
Day 1
Course context: AI Research Skills
- 1Scope, terminology and professional context
- 2Stakeholders, requirements and success criteria
- 2
Day 2
Use cases, data and system limitations
- 1Application to AI Research Skills
- 2Methods, decision criteria and limitations
- 3Worked scenario and reflection questions
- 3
Day 3
Workflow design, testing and human oversight
- 1Application to AI Research Skills
- 2Methods, decision criteria and limitations
- 3Worked scenario and reflection questions
- 4
Day 4
Risk controls, evaluation and responsible use
- 1Application to AI Research Skills
- 2Methods, decision criteria and limitations
- 3Worked scenario and reflection questions
- 5
Day 5
Application and improvement planning
- 1Compare options and document recommendations
- 2Identify risks, responsibilities and follow-up measures
Training methodology
How learning is delivered in the classroom.
- Suggested approach: topic briefings and structured discussion
- Suggested approach: scenario analysis and worked examples
- Suggested approach: reflective exercises and workplace application planning
Main takeaways
Key outcomes participants leave with.
- Takeaway 1A structured framework for analysing AI Research Skills
- Takeaway 2Decision criteria for comparing practical options
- Takeaway 3A framework for a workplace improvement plan
Course essentials
Key facts for planning attendance and registration.
- Duration
- See selected scheduled offering
- Format
- Classroom
- Level
- Professional
- Location
- Singapore, Singapore
- Language
- English
- Certification
- BCTCI Certificate of Completion
- Prerequisites
- Open to professionals with relevant experience
- Class size
- 12
- Delivery
- Classroom
Course Brochure
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Training Materials
Download course handouts, slides, and reference documents shared by your trainer.
Course Questionnaire
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