Automate Complex Tasks with Agentic AI

Training Provider: THT ACADEMY PTE. LTD.
Course Reference: TGS-2025057675
S$800
Original: S$1,600
Save S$800

About This Course

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 and troubleshooting AI-driven workflows 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 supports learners 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 fluency

This course is suitable for learners with some familiarity with product workflows 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 workflows
• Evaluate agentic AI performance and improve task outcomes

Entry Requirements

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 workflows, automation tools, or data tasks, even if not in a tech-specific 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

Course Details

Duration 15 hours
Language English
Training Commitment Part Time
Total Enrolled 799 students
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