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Generative AI in Action

Learn how you can explore the power of Generative AI across industries with our Short Course, designed to build practical skills for real-world impact.
Enquire Now

Delivery Method
Next Starting Date
Days
Timings
Duration
On-Campus
26 October 2026
Mon & Wed
6PM - 9PM
5 weeks
On-Campus
30 November 2026
Mon & Wed
6PM - 9PM
5 weeks
On-Campus
28 December 2026
Mon & Wed
6PM - 9PM
5 weeks
On-Campus
25 January 2027
Mon & Wed
6PM - 9PM
5 weeks

OVERVIEW

Generative AI is changing how people research, communicate, create, solve problems and work. This course develops transferable AI literacy and hands-on skills through demonstrations, guided practice, case studies and relevant classroom activities. It prioritises practical decision-making and critical judgement rather than mastery of any single platform.
  • 17 years and above
  • Entrepreneurs and Startup Founders who want to build, scale, and streamline their business with AI.
  • Creative Professionals and Freelancers who want to enhance creativity and speed up workflows using AI tools.
  • Digital Marketers and Social Media Managers who want to create campaigns, content, and ads faster with AI.
  • Non-technical innovators who want to turn ideas into reality without coding or design skills.
  • Students and Young Professionals who want to gain AI skills and stay competitive in their careers.

ChatGPT, Gemini, Higgsfield, Lovable, Claude, Perplexity
  • Understanding Generative AI

Fundamentals of AI and generative models; text, visual, audio, and video applications; strengths, limitations, and misconceptions.

  • Prompt Engineering and AI Communication

Prompt structure: objective, context, constraints, audience and format; follow-up prompts; iteration; checking outputs.

  • Research, Analysis and Knowledge Development

Research framing; information synthesis; summarisation; organising insights; verification; fabricated citations and hallucinations.

  • Communication and Content Creation

Ideation, planning, business writing, marketing messages, storytelling, tone, editorial review and originality.

  • Creative Development and Multimedia

Creative briefs, concept development, visual storytelling, image/video generation principles, consistency and intellectual property.

  • Productivity and Business Workflows

Document and report support; repetitive tasks; workflow mapping; automation opportunities; quality checks and human oversight.

  • AI Agents and Applied Workflows

Distinctions among chat assistants, automation and agents; task decomposition; context; permissions; supervision and reliability.

  • Responsible AI and Quality Assurance

Privacy, confidentiality, copyright, attribution, bias, misinformation, validation and

accountability.

  • Practical Implementation and Capstone

Problem definition, objectives, approach selection, execution planning, evaluation and presentation.
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