Learn AI Fast: Prompting, Use Cases & Building AI Agents

From Prompting to Personal Productivity Agents

In the rapidly evolving landscape of 2026, simply “chatting” with AI is no longer enough. Professionals must now move toward Agentic AI—building digital “employees” that can execute workflows, follow complex instructions, and operate autonomously to save hours of manual labor.

This one-day intensive workshop takes you from the fundamentals of prompt engineering to the cutting edge of AI agents. You will learn how to build a customized AI persona designed to act as your personal assistant or specialized team member.

Course Requirement: Learners are required to bring a Wi-Fi-enabled laptop with access to a Generative AI platform (e.g., ChatGPT, Gemini, or Claude).

Course Objectives
  • Master the RODES Framework: Use the Role, Objectives, Details, Examples, and Steps (RODES) framework for precision prompting.
  • Craft Presentation, Audio files, Videos, Analyse Datasets…
  • Identify Business Use Cases: Pinpoint high-value tasks in your workflow suitable for AI automation.
  • Build Your First AI “Employee”: Configure a custom GPT or AI Agent with a specific persona and knowledge base.
  • Implement Agentic Workflows: Set up multi-step instructions that allow AI to perform tasks autonomously.
  • Future-Proof Your Role: Stay ahead of 2026 trends by integrating AI “employees” into your daily professional stack.
Course Outline

Module 1: The Shift to Agentic AI

  • Beyond the Chatbox: Understanding the difference between basic AI and Agentic AI.
  • The 2026 AI Landscape: How “AI Employees” are changing the workplace.
  • Overview of tools and platforms for building personal agents.

Module 2: Precision Prompting with RODES

  • The anatomy of a perfect prompt: Role, Objectives, Details, Examples, and Steps.
  • Fine-tuning AI output for professional-grade reports and communications.
  • Hands-on: Transforming vague requests into high-performance instructions.
  • Craft Presentation, Audio files, Videos, Analyse Datasets…

Module 3: Designing Your AI Employee (The Persona)

  • Defining the “Job Description” for your AI agent.
  • Providing a knowledge base: Uploading documents and setting “Ground Rules”.
  • Tone of voice and behavioral constraints: Making the AI sound like a member of your team.

Module 4: Building & Deploying the Agent

  • Step-by-step guided build: Creating a specialized agent (e.g., Research Assistant, Data Analyst, or Customer Support).
  • Connecting your agent to real-world tasks and workflows.
  • Testing and iterative improvement: Feedback loops to “train” your digital employee.

Module 5: Practical Use Cases & Integration

  • Case Study: Using your agent to summarize projects and generate reports fast.
  • Case Study: Automating front-desk inquiries or routine email management.

Module 6: Review & Ethics

  • Managing your digital workforce: Monitoring for accuracy and bias.
  • Q&A: Troubleshooting and scaling your AI agents.
Training Methodology
  • Short, focused concept briefings on AI architecture.
  • Step-by-step guided demonstrations of agent-building platforms.
  • Hands-on practical exercises to build your own “employee”.
  • Real-world application and review.
Who is this for

For Executives who want to learn comprehensive prompting, several useful use cases to building some AI agents that automate work and boost productivity

It is especially suitable for:

  • Business professionals and managers who want to improve productivity through AI automation
  • Executives and decision-makers exploring practical applications of Agentic AI in daily work
  • Knowledge workers and analysts handling repetitive tasks, reports, and workflows
  • Professionals already using AI tools (e.g., ChatGPT, Gemini, Claude) who want to advance to building AI agents
  • Innovation, digital, and transformation teams exploring AI-driven process improvement
  • Anyone interested in creating AI “digital assistants” to support personal or team productivity
Testimonials

“Able to share detailed examples during the class”

“Average of >4.9 stars out of 5 stars”
“Glad all steps were given and Trainer was very dynamic and entertaining “

“Game changing AI tutelage that transformed how I approach work.”

“Simplifies complex tools into very easy-to-understand steps.”

“Highly practical and immediately applicable to my daily tasks.”

“Engaging, insightful, and full of real-world examples.”

About the Trainer

A person with short dark hair wearing a dark blazer and light shirt is smiling and posing with their right arm crossed over their chest against a plain light background.

Bernard Peh – Data Scientist / A.I Engineer / Principal Trainer [ACLP]

Bernard Peh is a Master Trainer, Curriculum Author, and Hedge Fund Manager with over 20 years of concurrent experience in Finance and Data Science. He specialises in AI, Data Analytics, Power BI, and workplace automation, helping organisations translate AI capabilities into tangible business value.

Formerly a Financial Services Director for 15 years, Bernard brings real-world industry experience into the classroom, including financial analytics and hedge fund strategies.

He is ACLP certified and delivers WSQ, IBF, and SkillsFuture-funded programmes. Known for his engaging teaching style, Bernard consistently receives top learner ratings for simplifying complex concepts and delivering highly practical, business-relevant training.

Bernard has trained extensively across Singapore’s leading institutions and corporates, including NTUC LearningHub, Singtel, and CapitaLand.