WSQ Generative AI (SF) (Synchronous and Asynchronous E-Learning)

About This Course

This module provides a rigorous immersion in generative AI, covering foundational model families and responsible use, alongside modern tools such as ChatGPT, Claude, Gemini, and DeepSeek. Learners advance from principled prompt design to building agentic systems with Microsoft Copilot Studio, translating theory into dependable, auditable solutions suited to real organisational workflows and governance requirements.
By the end, learners will characterize strengths and limitations of major generative architectures; compare tools and deployment options; and conduct systematic prompt engineering, including Few Shot Prompting, Chain of Thought, and Self Consistency Prompting. They will design task-oriented agents in Copilot Studio; configure connectors, authentication, entities, variables, and state; orchestrate agent flow; integrate Prompt tools and the Model Context Protocol (MCP) and instrument testing, monitoring, and iteration aligned with compliance and business objectives. Learners will evaluate outputs for quality and safety, iterate prompts and flows based on test cases, and align solutions with organizational policies and stakeholder needs. The module culminates in assembling an end-to-end agent demonstrating robust intent handling and effective task completion.
Graduates gain the capacity to deliver differentiated, trustworthy agents faster and at lower risk. The resulting capability compounds across products and operations, enabling measurable efficiency, better customer experiences, and confident compliance, creating a durable career advantage in AI-enabled organizations.