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Enable teams to prototype real AI solutions that automate work, enhance accuracy, and scale performance.
This course is structured into comprehensive modules, each strategically curated to provide you with the skills and knowledge necessary for you to understand what you have and make them your biggest weapons:
Identify bottlenecks and automation opportunities using design-thinking tools. Prioritise high-value use cases and convert team challenges into clear, scoped AI problem statements.
1.1 Problem Mapping & Pain Points
1.2 Identifying Automation Opportunities
1.3 Prioritising AI Use Cases
Turn problem statements into structured PRDs. Map functionality, select suitable AI tools, and draft early solution sketches that define how your AI system should work.
2.1 PRD & AI Toolkit
2.2 Functionality Mapping & Scoping
2.3 Selecting the Right Tools
Sketch chatbot UIs, dashboards, and workflow logic. Map data pathways, create human-centred interactions, and prepare interface prototypes ready for backend integration.
3.1 UI Sketching (Chatbots/Dashboards)
3.2 Workflow Logic & Data Pathways
3.3 Adding Voice Layers
Link interfaces to LLMs, APIs, vector databases, and agent frameworks. Build working prototypes with basic retrieval, tagging, and agent behaviour to simulate real functions.
4.1 Integrating LLMs & Agents
4.2 SDKs & APIs for AI Functionality
4.2 Vector Databases & Knowledge Retrieval
Simulate user interactions, test logic flows, and gather performance feedback. Use evaluation tools to identify gaps, strengthen reliability, and refine the prototype.
5.1 Simulation of User Scenarios
5.2 Collecting & Interpreting Feedback
5.3 Using Evaluation Tools to Test Logic
Convert raw data into dashboards and summaries. Build visual reporting pipelines that highlight patterns, track performance, and support faster team decision-making.
6.1 Summarising Reports & PDFs
6.2 AI-Assisted Dashboards
6.3 Reporting Pipelines
Resolve integration blockers, refine UX and workflow logic, and scale prototypes. Strengthen reliability and prepare a version suitable for early team testing.
7.1 Integration Blockers
7.2 Refining UX Flows & Logic
7.3 Developing Scalable Versions
Present final prototypes, define KPIs, plan risks, and create a 30-day pilot roadmap. Equip your team to move confidently toward real-world AI adoption.
8.1 Final Prototype Presentations
8.2 KPIs & Security Essentials
8.3 30-Day Pilot Plan & Adoption Roadmap
Jey’s journey in search of sustainability has brought him to Biji-biji Initiative & Mereka as the Chief Ecosystem Officer (CECO) after his experience at HP and Dell as a trainer. His skills include running corporate training, hackathons, upcycling workshops, mentoring businesses, and conducting civic engagement campaigns, which are second nature to Jey. Committed to lifelong learning, he is also MIT-certified in Design Thinking.
Great experience of online-method of career coaching. Mereka has given me a great experience by connecting me to multi-disciplinaries and improving my digital skills. I am able to channel my skills to new platforms of Augmented Reality software that benefitted me in future. Most importantly, the Personal Branding course aid me so much in building my career path with a precise and structured method of learning! 5/5
Ahmad Luqman Hadi Bin Nor Zafri
31 yrs old
Before FOW, I was an underemployed staff working as personal health advisor. And after the programme, I experience 8% increment from my current salary where I learn how and the importance of personal branding.
Ahmad Luqman Hadi Bin Nor Zafri
31 yrs old
Suzanne was very concise and clear in her explaination and I understand when she correlates one point to another and when she relate with real life experiences. This workshop is very beneficial for me as it is something that I needed help in and never knew until I joined today's class. Thank you once again! :)
Ahmad Luqman Hadi Bin Nor Zafri
31 yrs old
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