CAP
Research #7
AI & Emerging Technology
AI & Emerging Technology
Generative AI for Business: AI Fundamentals
Understand generative AI and apply it responsibly to everyday business tasks, decisions and workflow improvement.
Course overview
Turn learning into workplace capability.
Understand generative AI and apply it responsibly to everyday business tasks, decisions and workflow improvement. Participants work through realistic workplace scenarios, guided practice and structured reflection so they can apply the learning immediately.
The programme balances useful AI capability with verification, privacy, human judgement, and responsible implementation in real workplace processes.
By the end
Learning outcomes
- Explain core generative AI and large-language-model concepts.
- Identify high-value AI use cases in business functions.
- Write effective prompts and evaluate output quality.
- Apply privacy, governance and human-oversight practices.
By the end
Learning objectives
- Explain generative AI foundations and connect it to the participant's workplace context.
- Apply business use-case discovery using a structured method and appropriate supporting evidence.
- Use prompting for reliable results to complete a realistic task accurately and efficiently.
- Evaluate documents, data and ideas by applying quality criteria, controls, and professional judgement.
- Integrate risk, ethics and governance with related tools, people, information, and review points.
- Produce a practical, workplace-ready output together with a clear next-step implementation plan.
Practical curriculum
Course outline: Generative AI for Business: AI Fundamentals
A focused sequence designed for application, reflection and measurable next steps. Expand each module for its detail and practical exercise.
01. Generative AI Foundations
- How generative AI differs from rules-based automation, search, and predictive analytics.
- Common workplace capabilities including drafting, summarising, classifying, ideation, and conversational support.
- Inputs, outputs, context, uncertainty, and why fluent language is not evidence of accuracy.
- Task-selection criteria based on value, repeatability, data sensitivity, risk, and need for human judgement.
Practical exercise: Participants apply the method to a sanitised workplace case, evaluate the output, and document the human review required while applying generative AI foundations.
02. Business Use-Case Discovery
- Capabilities, limitations, terminology, and appropriate business uses related to business use-case discovery.
- Prompt, context, input-data, tool-selection, and output-quality decisions for the task.
- Verification, privacy, bias, intellectual-property, security, and human-oversight considerations.
- Integration of the method into a repeatable workflow with clear ownership and review points.
Practical exercise: Participants apply the method to a sanitised workplace case, evaluate the output, and document the human review required while applying business use-case discovery.
03. Prompting for Reliable Results
- Defining role, objective, audience, context, constraints, source material, and output format.
- Breaking complex work into stages and using examples, checklists, rubrics, and iterative refinement.
- Testing prompts against edge cases and distinguishing useful structure from unnecessary prompt complexity.
- Reviewing claims, calculations, sources, tone, completeness, and privacy before using an output.
Practical exercise: Participants apply the method to a sanitised workplace case, evaluate the output, and document the human review required while applying prompting for reliable results.
04. Documents, Data and Ideas
- Capabilities, limitations, terminology, and appropriate business uses related to documents, data and ideas.
- Prompt, context, input-data, tool-selection, and output-quality decisions for the task.
- Verification, privacy, bias, intellectual-property, security, and human-oversight considerations.
- Integration of the method into a repeatable workflow with clear ownership and review points.
Practical exercise: Participants apply the method to a sanitised workplace case, evaluate the output, and document the human review required while applying documents, data and ideas.
05. Risk, Ethics and Governance
- Capabilities, limitations, terminology, and appropriate business uses related to risk, ethics and governance.
- Prompt, context, input-data, tool-selection, and output-quality decisions for the task.
- Verification, privacy, bias, intellectual-property, security, and human-oversight considerations.
- Integration of the method into a repeatable workflow with clear ownership and review points.
Practical exercise: Participants apply the method to a sanitised workplace case, evaluate the output, and document the human review required while applying risk, ethics and governance.
06. Team Adoption Roadmap
- Capabilities, limitations, terminology, and appropriate business uses related to team adoption roadmap.
- Prompt, context, input-data, tool-selection, and output-quality decisions for the task.
- Verification, privacy, bias, intellectual-property, security, and human-oversight considerations.
- Integration of the method into a repeatable workflow with clear ownership and review points.
Practical exercise: Participants apply the method to a sanitised workplace case, evaluate the output, and document the human review required while applying team adoption roadmap.
Programme detail
How the course runs
Methodology
- Short instructor explanations that establish the principles, terminology, and workflow of Generative AI for Business: AI Fundamentals.
- Live demonstrations and sanitised workplace prompts, output evaluation, and workflow-design exercises.
- Individual, pair, and group activities using realistic inputs that do not require disclosure of confidential information.
- Facilitated review, peer discussion, trainer feedback, and correction against clear quality criteria.
- A final application task plus a personal or team action plan for transfer to the workplace.
Assessment & evidence of learning
- Opening diagnostic questions to establish experience, needs, and relevant workplace scenarios.
- Observation of guided practice and completion of module activities relevant to AI & Emerging Technology.
- Knowledge checks, review questions, or scenario decisions at appropriate points in the programme.
- A final practical output, simulation, presentation, analysis, or implementation plan reviewed against stated criteria.
- Trainer feedback and participant reflection identifying strengths, corrections, and next-step workplace actions.
Prerequisites
- No formal prerequisite is required; relevant workplace experience will help participants contextualise the activities.
Course completion & workplace transfer
- Record corrections, open questions, support needs, and an accountable next action for workplace application.
- Review the final practical output against the learning outcomes and complete the trainer's closing knowledge check, reflection, or skills demonstration.
Who should attend
Who this course is for
Managers, professionals, process owners and digital-transformation teams.
01
Live online via Zoom Meeting
Join a scheduled public intake from anywhere. Trainer-led, camera-on, with hands-on exercises and Q&A throughout.
02
Private in-house group session on Zoom
The same programme run privately for one organisation on its own date, with examples tailored to your policies and roles.
03
Joining details by email
The Zoom link, meeting ID and passcode are sent automatically once payment succeeds, with reminders one day and one hour before the start.
Course questions
What organisations usually ask
Is Generative AI for Business: AI Fundamentals HRD Corp claimable?
The programme can be proposed as HRD Corp claimable training, subject to the employer’s eligibility, current scheme rules, course registration and final approval.
Who should attend this course?
Managers, professionals, process owners and digital-transformation teams.
How long is the course and how is it delivered?
The standard duration is 2 days. Every session runs live on Zoom with a trainer — there is no face-to-face or physical classroom option. Available formats: Live online via Zoom Meeting, Private in-house group session on Zoom.
How do I receive the Zoom link?
Reserve a seat online and complete payment. The Zoom joining link, meeting ID and passcode are emailed automatically the moment payment succeeds, followed by an automatic reminder one day before and one hour before the session starts.
What do I need to join the session?
A computer with a stable internet connection, the free Zoom client, a webcam and a headset. Sessions run in Malaysia time (GMT+8). Software used in hands-on courses should be installed before day one — the joining email lists what to prepare.
Build a stronger team
Bring Generative AI for Business: AI Fundamentals to your organisation.
Tell us your preferred dates, team size and learning priorities. We will prepare a tailored programme and quotation.
*HRD Corp claimability is subject to employer eligibility, current scheme rules, course registration and approval. Public fees are indicative until confirmed in writing. Certification, licensing and statutory pathways may require an approved provider, separate assessment, experience or registration set by the relevant authority or awarding body.