AI Literacy for the Modern Workplace (Generative AI Upskill)

Master AI fundamentals to boost core literacy in the modern workplace. Learn key terms, large language models, determinism vs nondeterminism, inference, context, and prompting.

Explore large language models trained on vast corpora to generate human-like text and predictions, and understand how language patterns guide AI in the workplace.

Explore determinism and non-determinism with simple calculator examples, showing how deterministic systems yield the same outputs from identical inputs and non-deterministic models, like large language models, may vary.

Explore how LLMs navigate a vast corpus to predict the next words through inference, producing humanlike responses as mathematical predictions rather than thinking or feeling.

Explore context and prompting in LLMs, then experiment with different inputs and files to see how context, prompts, and non-determinism shape inference and outputs.

Leverage AI in the modern workplace by using LLMs as helpful coworkers to carry out tasks and augment your capabilities, becoming literate in AI to stand out.

Learn the anatomy of an effective prompt by structuring prompts with a role, context, task, and examples to guide large language models in the modern workplace.

Learn how large language models summarize long content from PDFs using strong prompts and context to create concise, actionable meeting summaries for executive assistants with clear sections.

Master prompt anatomy to guide LLMs in producing professional writing, such as emails and reports, by defining role, context, and task.

Explore AI-assisted troubleshooting in the modern workplace by diagnosing workflow delays with good context and good prompting, and evaluating three workflow approaches with pros and cons, tools, and change management.

Learn to analyze data with AI without blindly trusting LMS outputs. Use Excel for deterministic calculations and craft formulas with an LLM to determine eligibility.

Brainstorm with an LLM to craft ten creative B2B marketing ideas for a productivity and collaboration tool, with measurable outcomes across hybrid channels. Focus on collaboration benefits and productivity gains.

Learn how task decomposition and careful planning reduce information overload when using large language models to create hour-by-hour agendas, budgets, and tech setups for all-hands events.

Mitigate AI risks and practice responsible use to navigate real-world applications in the modern workplace.

Identify AI hallucinations—the tendency to generate false or made-up information—and learn practical mitigation steps: provide good context, cross-check facts, request sources, verify numbers, and distrust the LM.

Identify privacy risks when using llms and protect proprietary data by keeping it internal, requesting paraphrase for sensitive content, and avoiding insecure share features in lms.

Explore drift in LMS chat systems as context windows grow, reducing reliability. Learn to mitigate drift by refreshing context, summarizing conversations, and breaking projects into separate tasks.

Guard against overreliance on AI by maintaining human in the loop workflows and verifying outputs. Keep your skills sharp through manual practice and understanding the underlying processes.

Explore confirmation bias in AI tools by recognizing how conversations shape LLM responses, and learn to mitigate it with opposing viewpoints, pros and cons, and cross-checking.

Explore sycophancy and confirmation bias in language models, and learn practical mitigation strategies like pushback, opposite prompts, critic roles, and collaborative checks.

Expose and explain prompt injection as a security risk in learning management systems, and outline practical mitigations: read outputs, break tasks, review inputs and outputs before use.

Explore concrete patterns and processes to maximize human AI collaboration. Understand that AI is a guessing machine and learn to harness it effectively in the modern workplace.

Apply the entropy tolerance decision framework to decide how much AI to use, balancing randomness, risk, and value, with human in the loop when needed.

Design AI-enhanced workflows by selecting tasks, defining entropy tolerance, and supplying context, prompts, and human checks; test thoroughly to ensure reliable outputs in ticketing and help-ticket workflows.

Future-proof your professional skills by strengthening human-only abilities—empathy, leadership, trust—while mastering human–ai collaboration through context-rich prompting and evaluating outputs to focus on outcomes.

Practice explaining AI concepts to others in a role play with an AI character, engaging in conversations to reinforce AI literacy in the modern workplace and apply what you've learned.

Develop AI literacy for the modern workplace by understanding how AI processes input, activates memory, and infers next outputs, emphasizing responsible and effective AI use.