Gen AI Advanced: Designing Intelligent AI Agents with Prompt Engineering & Design Thinking
Course Information
1 Day Course
Fee : $790 (excl. GST)
Course Dates:
- Enquire for course dates
Time: 9.15am – 5pm
Contact: [email protected]
Venue: Hotel (near MRT)
Note:
- Tea breaks and buffet lunch will be served. Car park coupons are available upon request.
- For 3 pax and above, 10% discount across the board
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- Rewards are issued only after their referral has completed the course.
- Referred individuals must not have attended our courses in the last 12 months.
- Referrals from the same company or organization as the referrer are not valid.
Course Introduction
“Gen AI Advanced: Designing Intelligent AI Agents with Prompt Engineering & Design Thinking” is a hands-on workshop is designed for professionals ready to move from prompt users to AI Agent designers. Learners will integrate Design Thinking principles with advanced prompt engineering to define problems, co-develop custom GPT-style agents, and test outputs responsibly. By the end of the day, each learner will walk away with a working blueprint for a task-specific AI assistant.
Learning Outcome
- Analyse real-world business challenges through a design thinking lens.
- Apply layered prompting and agent logic to solve specific tasks.
- Build and test a prototype of a personal AI assistant.
- Evaluate outputs using ethical, operational, and business-alignment standards.
Course Outlines
Before joining, learners should:
- Have written and iterated atleast 10 prompts that produced usable work outputs (e.g., summaries, emails, reports, brainstorming).
- Be comfortable iterating on AI outputs using structured prompting techniques (e.g., role- based prompting, chain-of-thought prompting, constraints) without facilitator help.
- Be able to name two common AI failure modes (e.g., hallucination, bias) and describe one step you take to mitigate each in your work.
- Topic 1. From Essentials to Agents – Quick Recap
- Revisit core prompting concepts (instruction, role, examples)
- Common pitfalls from basic level and how to avoid them
- Layered prompting and prompt chaining
- Topic 2. Design Thinking for AI Agent Creation
- Clarify end-users and tasks
- Define the problem, scope and boundaries of an agent
- Draft agent outcomes and success metrics
- Ideate workflows before building
- Topic 3. Knowledge & Context Management (RAG-lite for Business Users)
- Curate a lightweight knowledge pack
- Grounding and context windows
- Prompts for citation, source attribution, and version control
- Maintaining tone/brand: prompt patterns for voice consistency
- Topic 4. Build Your AI Agent
- Write the agent’s “Operating Manual”
- Define inputs/outputs, edge cases, and escalation rules
- Memory and session strategies (what to persist vs. reset)
- Create role-specific variants (Sales, HR, Finance, Ops, Strategy)
- Topic 4. Test & Governance – Make Your Agent Trustworthy
- Evaluation checklist: accuracy, relevance, bias, privacy, compliance
- Red-team prompts and hallucination traps
- Ethical use, PDPA/privacy considerations, and IP awareness
- Methodology
- Q&A
- Video
- Facilitated discussions
- Mini presentation
- Team exercise
- Learning aid
- Trainer’s sharing
- Case studies
- Personal reflection
Trainer Profile
- Ms. Tan Yan Ting
Yan Ting is an ACLP-certified corporate trainer and business consultant with a background in national strategy and digital innovation. With 18 years of experience in strategy, transformation, digital product development, and industry development, she translates her real-world experience into practical and accessible learning.
She delivers workshops on Generative AI and Prompt Engineering for business professionals, creatives, and trainers. She focuses on providing relevant, actionable training that is aligned with real-world challenges. Her expertise includes designing and facilitating training programmes with a focus on the practical applications of Generative AI in productivity, content creation, and digital enablement.
In her previous career, Yan Ting drove new initiatives and capabilities-building. She led the design of sectoral strategies and implemented new industry programmes for the online creators and digital games sectors. To enhance workforce readiness, she advised on curriculum development and industry alignment as a member of the Design & Media Academic Advisory Committee, and recommended new media courses based on assessments of content relevance. She also led cross-functional teams to develop national strategies, such as Singapore’s 5G Strategy, and launched Asia’s first hybrid-broadcast-broadband platform.
Related Certifications
- Advanced Certificate in Learning and Performance (ACLP)
- Microsoft Certified Trainer (MCT) Education
- Master of Business and Administration (Dean’s List) from IE Business School and Singapore Management University
- Bachelor of Business (Marketing) from Nanyang Technological University