Low-Code Artificial Intelligence (AI) Automation for Problem Solving in the Industry
About This Course
This course is designed for business professionals, entrepreneurs, and operations teams seeking to harness Artificial Intelligence (AI) for value-oriented problem solving without requiring coding expertise. Applicable across functions such as marketing, human resources, finance, and operations, the course enables participants to identify real workflow challenges, apply AI-powered no-code and low-code tools, and implement solutions that save time and align with business value and stakeholder needs.
In today’s rapidly evolving landscape, the ability to customise AI to address practical, high-impact problems provides a strategic advantage. Upon completion, participants will be equipped to design and deploy intelligent automations that improve efficiency, minimise repetitive work, and support value-driven decisions. No prior technical background is necessary; only a willingness to explore the evolving nature of intelligent work is required.
What You'll Learn
• Understanding the value of identifying problems worth solving.
• The concept of value-oriented problem solving.
• Use of mental models to shape how we see and solve problems.
• Development of cognitive pathways for diagnosing inefficiencies and thinking structurally.
Topic 2 - Use Case – Automating Email and File Organisation
• Use of Artificial Intelligence (AI) to categorise, tag, and file emails automatically.
• Set up rules to organise project files in shared folders.
Topic 3 - Use Case – AI-Powered Meeting Transcription
• Transcribe meeting audio automatically.
• Generate structured meeting minutes and task lists.
Topic 4 – Foundations of Automation thinking
• What automation is and when it should or shouldn’t be used.
• Identification of routine tasks that benefit from automation.
• Basics of how automation enhances productivity, not replaces thinking.
• Low-code automation as a problem-solving approach.
Topic 5 – Understanding the Web and Automation Architecture
• Basics of how the internet supports automation (requests, endpoints).
• Understanding of Application Programming Interface (API) and how they allow tools to talk to each other.
• Reading and interpretation of JavaScript Object Notation (JSON) data structures.
• Simple scripting with JavaScript or Python in automation flows.
Topic 6 – Use Case – Web-Scraping Leads and Automating Outreach
• Scrape sales and recruitment leads
• Automate outreach with tailored content
Topic 7 - Use Case – Automating Document Generation
• Build templates for contracts or proposals.
• Populate templates with dynamic information using automation.
Topic 8 - Use Case – Read and Store Receipts
• Use AI to read data from images.
• Track and store data in databases.
Capstone – Design Your Own Automation
• Identify a workflow issue
• Build an automation prototype
• Present for feedback
Entry Requirements
• Computer literate, comfortable working with common tools like Email, OneDrive, Telegram, etc.
• No technical experience required