AI Powered Agentic Process Automation (APA)
About This Course
This WSQ Mastering AI Powered Agentic Process Automation (APA) course provides a deep dive into the transformative world of AI automation. Participants will evaluate the strengths and limitations of Large Language Models (LLMs) by exploring their applications, running local models, and building and debugging LLM-based apps. The course equips learners with the skills to assess and optimize AI-powered applications tailored to industry needs.
Additionally, learners will analyze Retrieval-augmented generation (RAG) algorithms, mastering concepts such as text embedding, vector databases, and similarity searches to improve AI application efficiency. The course culminates in implementing a multi-agent AI workflow using frameworks such as LangGraph, CrewAI, and AutoGen. Participants will learn to equip agents with tools, set up workflows, and assess their feasibility and process improvements, enabling businesses to unlock the full potential of AI-driven automation.
What You'll Learn
LO1 – Evaluate Large Language Model (LLM) AI models by identifying their strengths and limitations.
LO2 – Analyse and establish the designs of Retrieval-augmented generation (RAG) algorithms to improve efficiency.
LO3 – Assess the feasibility and improvement of multi-agent AI frameworks on engineering and maintenance processes
Entry Requirements
Knowledge and Skills
• Able to operate using computer functions
• Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
• Positive Learning Attitude
• Enthusiastic Learner
Experience
• Minimum of 1 year of working experience
Target age group: 21-65 years old