AI Agents for Business
About This Course
This WSQ AI Agents for Business course equips learners with the knowledge and practical skills to design, build, and deploy AI agents that automate business processes, improve productivity, and support intelligent decision-making. Participants will learn how AI agents combine large language models (LLMs), reasoning, planning, memory, and tool integration to perform business tasks autonomously while collaborating effectively with human users.
The course introduces the fundamentals of agentic AI, prompt engineering, context engineering, and AI-powered workflow automation. Learners will gain hands-on experience in building AI agents that can retrieve information, interact with enterprise applications through APIs, execute business workflows, and automate repetitive tasks across different business functions.
Participants will also explore Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), memory management, multi-agent collaboration, and human-in-the-loop workflows to develop reliable, context-aware, and scalable AI solutions. Practical exercises demonstrate how AI agents can be applied to customer service, sales, marketing, finance, human resources, operations, and knowledge management.
The course further covers responsible AI practices, governance, security, guardrails, and deployment considerations to ensure AI agents operate safely and effectively in enterprise environments. By the end of the course, learners will be able to design, develop, and deploy business AI agents that integrate with existing systems, automate end-to-end processes, and create an AI-powered digital workforce capable of increasing organisational efficiency, innovation, and business value.
What You'll Learn
LO1: Learners will be able to identify the common NLP applications and use cases based on attention mechanisms and transformer architecture
LO2: Learners will be able to perform word embedding and build language models
LO3: Learners will be able to train NLP model with various machine learning approaches.
LO4: Learners will be able to determine NLP strategies based on Hugging Face framework
Course Outline:
Topic 1: Foundations of AI Agents for Business
Topic 2: Building and Integrating Business AI Agents
Topic 3: Intelligent Business Automation with AI Agents
Topic 4: Deploying, Governing, and Optimising AI Agen
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