This unit introduces essential concepts, components, and practical uses of artificial intelligence and generative AI, emphasizing data, algorithms, and common hardware. Students will learn prompt-design and hands-on productivity workflows (e.g., Copilot, ChatGPT, Excel, PowerPoint, Teams), and develop the evaluative skills needed to choose providers and manage ethical and organizational adoption—preparing them for deeper technical development and agent-building in subsequent units.
Learning Objectives
- Analyze foundational AI concepts by distinguishing among AI, machine learning, deep learning, and generative AI and citing examples and limitations for each
- Evaluate the roles of data, algorithms, and standard hardware in AI system performance, including sources of bias and implications for trustworthy outputs
- Apply prompt-design strategies to create targeted outputs and demonstrate usage of GenAI productivity tools (e.g., ChatGPT, Copilot) across writing, ideation, and Microsoft 365 workflows
- Demonstrate the ability to assess GenAI providers and account options, identify tasks unlikely to be replaced by AI, and propose basic change-management approaches for responsible AI adoption
Curriculum
- 1 Section
- 51 Lessons
- 30 hours
Expand all sectionsCollapse all sections
- Unit 1 — Foundations of AI and GenAI Productivity51
- 1.1Defining the Term AI20 mins
- 1.2Finding Data Ubiquitous in This Age20 mins
- 1.3Understanding the Role of Algorithms20 mins
- 1.4Relying on Standard Hardware20 mins
- 1.5Decoding Machine and Deep Learning20 mins
- 1.6Achieving Originality and Excellence in GenAI-Generated Content20 mins
- 1.7Identifying Tasks That AI Can’t Replace20 mins
- 1.8So, What Exactly Is Generative AI?20 mins
- 1.9First Things First: What Is a Prompt?20 mins
- 1.10Identifying Key Players and Evaluating GenAI Providers20 mins
- 1.11Comparing Different Account Versions of ChatGPT20 mins
- 1.12Defining Copilot20 mins
- 1.13Starting at the End: Defining Desired Outputs before Prompting20 mins
- 1.14GenAI as Writing Assistant20 mins
- 1.15Launching Copilot in Excel20 mins
- 1.16Interacting with Copilot in PowerPoint20 mins
- 1.17Using Copilot in Microsoft Teams20 mins
- 1.18Using GenAI for Marketing20 mins
- 1.19Leading AI Adoption and Change Management Efforts20 mins
- 1.20Engaging AI to Ideate on Behalf of Human Beings20 mins
- 1.21Using AI as Your Assistant for Writing Emails20 mins
- 1.22Trying Out an AI-Generated Where’s Waldo? Illustration20 mins
- 1.23Writing Academic Papers with GenAI Assistance20 mins
- 1.24Describing Search Generative Experiences (SGEs)20 mins
- 1.25Exploiting AI for Localization and Translation20 mins
- 1.26Developing New Ways to Communicate20 mins
- 1.27Implementing Portable Patient Monitoring20 mins
- 1.28Using AI Is Here to Stay20 mins
- 1.29Dying Keywords20 mins
- 1.30Walking through the Stages of Financial Planning20 mins
- 1.31Digging into Retirement Planning20 mins
- 1.32Banishing Boring Tasks20 mins
- 1.33Navigating GitHub Copilot20 mins
- 1.34Improving Your Prompts20 mins
- 1.35Understanding Project Requirements20 mins
- 1.36Discovering the Customer Journey20 mins
- 1.37Outsmarting Your Competitors20 mins
- 1.38Finding Out about Conversational AI Chatbots20 mins
- 1.39Building Your Own Copilot Agent with Copilot Studio20 mins
- 1.40Using Plugins Wisely20 mins
- 1.41Understanding the History of AI20 mins
- 1.42Using Data Successfully20 mins
- 1.43Discovering the Learning Machine20 mins
- 1.44Using GPUs20 mins
- 1.45Demystifying Natural-Language Processing20 mins
- 1.46Applying Journalism Ethics to GenAI-Generated Content20 mins
- 1.47Upskilling for AI-Proof Jobs20 mins
- 1.48Unveiling the BIG Secret to Working Successfully with GenAI20 mins
- 1.49Revealing the Secret Behind Successful Prompting20 mins
- 1.50Getting GenAI that Plays Nice with Other Technologies20 mins
- 1.51Setting Up an Individual Account20 mins
Instructor
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