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AI Literacy Essentials: Practical Enterprise AI Capability Building
A practical, non-technical foundation program that moves employees from AI awareness to confident workplace application. It covers AI fundamentals, Generative AI, Prompt Engineering, Context Engineering, Responsible AI, critical thinking and practical AI workflows.
Six capabilities this program is built to give every employee starting their AI journey.
Explain how AI, Generative AI and LLMs work, and where their strengths and limits actually are.
Write structured prompts with clear roles, context, constraints and examples to get consistently useful outputs.
Feed AI the background, documents and business rules it needs to produce genuinely relevant answers.
Apply AI to writing, research, meetings, documents and everyday problem solving across your role.
Catch hallucinations, bias and privacy risks, and know when AI output needs human review.
Design a personal AI workflow and a 30 day plan that turns experimentation into daily practice.
How the program moves you from AI basics to a workflow you actually use.
Plain language grounding in AI, Generative AI and how large language models actually work.
See real workplace tasks solved with AI, not theoretical examples.
Write, test and refine prompts, then learn to give AI the right context.
Practice spotting hallucinations, bias and privacy risks in real AI outputs.
Apply AI to your own writing, research, documents and meetings.
Redesign one recurring task and build a 30 day AI adoption plan.
Plain language grounding in AI, Generative AI and how large language models actually work.
See real workplace tasks solved with AI, not theoretical examples.
Write, test and refine prompts, then learn to give AI the right context.
Practice spotting hallucinations, bias and privacy risks in real AI outputs.
Apply AI to your own writing, research, documents and meetings.
Redesign one recurring task and build a 30 day AI adoption plan.
The real workplace scenarios you'll practice, pulled directly from the program's applied curriculum.
Redesign one recurring work task around AI: define the opportunity, prompt, context, human review points and a 30 day adoption plan.
The program focuses on core enterprise AI assistants and workplace tools, not a long list of unfamiliar software.
ChatGPT Business/Enterprise · Microsoft 365 Copilot · Google Gemini · Claude
Microsoft 365 Copilot · Google Workspace with Gemini · Teams · Google Meet · Excel · Sheets
NotebookLM · ChatGPT Company Knowledge · SharePoint + Copilot · Gemini Notebook
Notion AI · Teams · Slack AI · Otter.ai · Fireflies.ai
Microsoft Power Automate · Zapier · Make
A preview of the ten modules inside the program. See the full breakdown in the detailed curriculum.
Why AI matters, how it is changing work, and what AI means for employees, teams and organizations.
Essential concepts: AI, ML, Generative AI, LLMs, AI assistants and agents, plus tokens, context, hallucinations and model limitations.
Communicate clearly with AI using structured prompts, roles, context, objectives, constraints and examples.
Give AI the right information, documents, business context and instructions to produce relevant outputs.
Apply AI to writing, research, meetings, presentations, analysis, brainstorming and routine knowledge work.
Summarize, extract, compare and classify documents; convert unstructured information into structured plans.
Structure problems, generate options, analyze information, challenge assumptions and support (not replace) human judgment.
Hallucinations, verification, bias, privacy, confidentiality, security, copyright and appropriate human oversight.
Safe handling of confidential information, personal data, IP and organizational AI policies.
Redesign a recurring task around AI; build a personal AI workflow and 30-day adoption plan.
Go beyond AI basics to understand models, tokens, context, RAG, AI agents, and enterprise evaluation.
Hands-on foundation for generative AI tools, prompt principles, and everyday workplace assistance.
Essential training on confidentiality, data privacy, hallucination verification, and safe enterprise AI usage.
Generic AI training is failing the enterprise. A finance director, an HR manager, and a software engineer require fundamentally different AI capabilities. Discover why role-based enablement—anchored in actual workflows, decisions, and domain expertise—is the only sustainable path to enterprise AI value.
Most enterprises conflate AI literacy (knowing what AI is) with AI capability (knowing how to use AI effectively in your role). This confusion leads to generic training that fails to change behaviour or drive ROI. Discover how to build true AI capability.
Enterprise AI initiatives are failing at scale not due to technological flaws, but because traditional IT training models are entirely unsuited for probabilistic AI tools. Discover why a human-centred capability building approach is essential.
Every module, topic, activity and practical application, laid out in the detailed curriculum.