We provide virtual course about AI Prompting-Copilot (TOS-PRCO) (M-TOSPRCO). This Copilot training course delivers a technically grounded introduction to GPT-based AI systems designed for enterprise and professional environments, with emphasis on model architecture concepts.
Course overview:
Generative AI capabilities, and real-world workflow integration. Participants explore how large language models process and generate text, examine the functional scope and constraints of Copilot Chat, and apply structured prompt-engineering frameworks to optimize output quality, relevance, and consistency.
The curriculum extends beyond basic usage to address AI-assisted business communication, knowledge management, and customer service models, highlighting human-in-the-loop collaboration, quality control mechanisms, and decision-support use cases.
A dedicated focus on AI ethics and bias mitigation equips learners with governance-oriented strategies, such as verification protocols, contextual prompting, and oversight practices, ensuring responsible deployment at scale. This course is designed to help technical and non-technical stakeholders alike evaluate, implement, and manage Copilot-enabled solutions with confidence, rigor, and operational impact.
In this course participants will learn:
• A foundational understanding of AI and GPT-based tools such as Copilot
• Practical skills in writing clear, effective prompts to guide AI output
• Experience using Copilot for professional communication and collaboration
• The ability to evaluate AI-generated content for accuracy, clarity, and tone
• Awareness of ethical considerations and bias in AI-assisted work
• Confidence applying AI tools responsibly within everyday workflows
Course content:
Module 1 - Understanding AI GPT Based Tools:
• Introduction: AI in Contemporary Society
• Key definitions, historical evolution, and current applications across industries
• Foundations of Generative AI and GPT Models
• Model architecture overview, training concepts, and limitations
• Overview of AI Platform (Copilot ChatGPT)
• Analysis of capabilities, suitability for tasks, and real-world usage contexts
• Integrating AI into Professional Workflows
• Practical considerations, productivity enhancement, and decision-support potential
• Summary and Conceptual Takeaways
• Reinforcement of terminology and essential model characteristics
Module 2 - The Power of Prompt Engineering:
• Introduction to Prompt Engineering Principles
• Why prompts matter; relationship between user intent and AI interpretation
• Structure of Effective Prompts
• Role definition, constraints, tone guidance, and contextual detail
• Analytical Review: Good vs. Poor Prompt Characteristics
• Theory-based examples (no live demonstration); analysis of clarity, specificity, and utility
• Prompt Revision Framework
• Guidelines for systematic refinement to improve results
• Lecture Summary and Preparation for Lab
• Overview of how learned principles will be applied
Module 3 - Copilot Chat for Business Communication Collaboration:
• Copilot Chat Assistance for Team Workflows
• Meeting summaries, documentation support, and knowledge-base structuring
• Copilot Chat in Customer Service Theory
• Ticket categorization, conversational tone guidelines, escalation logic
• Human-AI Collaboration Model
• When to rely on AI, when humans intervene, and strategies for quality assurance
• Lecture Review and Lab Preparation
• Outline of how theoretical concepts translate into simulated activities
Module 4 - Ethics Bias Awareness in Copilot Chat:
• Introduction to AI Ethics for Copilot Chat
• Fairness, accountability, transparency frameworks, and privacy considerations
• Understanding AI Bias related to use of Copilot Chat
• How training data, model design, and context influence biased results
• Case Study Analysis (Conceptual Only)
• Review written examples of biased outputs; theoretical root-cause identification
• Bias Mitigation Strategies
• Verification protocols, prompt techniques, and oversight mechanisms
• Recap and Preparation for Lab
• How lab activities will reinforce ethical evaluation skills
Target audience:
This course is designed to help technical and non-technical stakeholders alike evaluate, implement, and manage Copilot-enabled solutions with confidence, rigor, and operational impact.
Prerequisites:
• Basic computer skills