Building AI Agents for Work Automation (SF)
About This Course
This course provides learners with the tools and techniques to create no-code AI agents that automate various work processes, making tasks more efficient and freeing up time for higher-level activities. Participants will learn how to design and implement AI-powered agents using no-code platforms, enabling them to streamline operations, automate repetitive tasks, and improve productivity without requiring programming skills. The course covers key topics such as setting up workflows, integrating AI tools with existing business systems, and understanding the basic principles of AI and machine learning. Learners will also gain insight into how to optimize these agents for specific business needs and measure their performance.
No-code AI tools are transforming the way businesses operate by allowing anyone to harness the power of AI to automate processes, regardless of technical background. This course is highly relevant for small business owners, team leaders, and entrepreneurs who want to implement automation strategies but don’t have a technical team or coding experience. By mastering these no-code tools, learners can create custom AI agents that can improve efficiency, enhance customer service, and drive business growth.
This course is designed for beginners to intermediate learners, especially those looking to leverage AI technology to improve business operations and processes without the need for programming skills.
• This course is independently developed by NTUC LearningHub Pte Ltd. NTUC LearningHub Pte Ltd is not affiliated with, endorsed by, or certified by Microsoft Corporation or n8n. "Microsoft Copilot Studio" is a trademark of Microsoft Corporation, and "n8n" is a trademark of n8n.
What You'll Learn
LO1: Maintain agentic AI configurations and system requirements using developer frameworks, and escalate tool-based issues according to protocols.
LO2: Apply prompt engineering and context augmentation via RAG to configure foundational models within low-code platforms.
LO3: Troubleshoot RAG application issues by interpreting system limitations and software diagnostics on no-code tools.
Entry Requirements
• Candidates should have a post-secondary education or equivlaent qualification to take this course.
• Have at least 1 year of professional working experience.
• Candidates who do not meet the above requirements will be assessed on a case-to-case basis.