Gen AI Advanced: Designing Intelligent AI Agents with Prompt Engineering & Design Thinking
Course Information
1 Day Course
Fee : Get quotation
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
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 5. 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