Automate Complex Tasks with Agentic AI
TGS-2025057675
Course Overview
Foundations of Agentic AI Implementation
This course provides hands-on experience in applying agentic AI concepts, workflows, and tools to support complex task automation. Through practical activities and
real-world scenarios, you will learn how to prepare data, design AI agent workflows, and evaluate AI-generated outputs. By the end of the course, you will be able to
identify suitable use cases, apply agentic AI workflows, and build a strong foundation for advanced agentic AI implementation.
Mode of Assessment
Written Exam (Short Answer Questions) 85mins
Assignments (Case Study) 65mins
Course Duration
Training 12.5 hours
Assessment 2.5 hours
Total Training Duration (Hour)
15 Hours
Course Outline
LO1 Explain key concepts and workflows of agentic AI
LO2 Prepare and clean datasets to support agentic AI workflow
LO3 Apply best practices to ensure data quality and interoperable datasets for effective AI agent development
LO4 Design AI agent workflows for complex task automation
LO5 Deploy and evaluate agentic AI solutions to improve performance
Course Objectives
This course equips learners with practical knowledge and tools to automate complex tasks using agentic AI agents. Learners will acquire in-demand competencies such as designing, deploying andtroubleshooting AI-driven workfl ows for enhanced productivity. The course addresses the increasing need for data-driven task automation in product development roles.
As industries increasingly adopt AI technologies, product teams must integrate AI agents to handle routine, complex, and analytical tasks. This course is aligned with current market demands and supportslearners in:
• Transitioning into AI-enabled product development roles
• Gaining an edge for job upgrades in tech, design, or analytics
• Enhancing cross-functional collaboration through AI fl uency
This course is suitable for learners with some familiarity with product workfl ows or data handling.
What You'll Learn
Learners will gain the skills to:
• Understand and distinguish agentic AI from traditional AI systems
• Identify suitable applications of agentic AI in product environments
• Prepare clean, interoperable datasets for AI agents
• Design and test multi-step AI workfl ows
• Evaluate agentic AI performance and improve task outcomes
Pre-requisitess
Assume / Preferred
• Able to read and understand English instructions and communicate clearly (recommended WPL Level 5 or equivalent)
• Comfortable using digital platforms such as web tools, online forms, or spreadsheets
• Has prior exposure to workfl ows, automation tools, or data tasks, even if not in a tech-specifi c role
• Open to learners from product, operations, admin, or junior tech roles seeking to automate routine or complex tasks using AI
• Suitable for those with GCE ‘O’ Level or NITEC background, or working experience in digital or process-based functions
Medium of Instruction & Trainer
English
Course Pre-Requisites
Price
| Course Fee Payable | ||
|---|---|---|
| Original Fee | Before GST | With GST (9%) |
| Course Fee | $1,600.00 | $1,744.00 |
| Individual Pricing (Fee payable to Training Provider) | Before GST | With GST (9%) |
| SkillsFuture >=40 years old | $480.00 | $624.00 |
| SkillsFuture >=21 years old | $800.00 | $944.00 |
| Corporate Pricing (Fee payable to Training Provider) | ||
| Non-SME | Before GST | With GST (9%) |
| SkillsFuture >=21 years old | $800.00 | $944.00 |
| SkillsFuture >=40 years old | $480.00 | $624.00 |
| SME | Before GST | With GST (9%) |
| SkillsFuture >=21 years old | $480.00 | $624.00 |
| SkillsFuture >=40 years old | $480.00 | $624.00 |
Please note that prices are subjected to change.
