Loading…
Loading…
Generative AI Essentials: Practical Enterprise AI Capability Building
A practical foundation program that helps professionals understand, use and apply Generative AI confidently in real workplace situations. It covers how GenAI works, effective prompting, context, document intelligence, multimodal AI, ideation, productivity and responsible use.
Six capabilities this program is built to give every professional who wants to use GenAI with confidence.
Explain Generative AI, LLMs and foundation models in practical, non technical business terms.
Select the right text, image, document or multimodal AI capability for a given task.
Write and iterate structured prompts that turn vague requests into professional results.
Supply the background, documents and business rules AI needs to produce relevant answers.
Use GenAI to draft communications, synthesize documents and build structured research briefs.
Catch hallucinations and bias, and protect confidential information and intellectual property.
How the program moves you from core GenAI concepts to a business use case you can put to work.
Business focused explanation of how modern Generative AI actually works.
Compare leading AI assistants and where each one fits your workplace scenarios.
Create, test and improve prompts, then learn to engineer the context behind them.
Summarize, compare and extract insight from long business documents.
Identify hallucinations and unsupported claims before you rely on an AI answer.
Solve a real workplace problem end to end using Generative AI.
Business focused explanation of how modern Generative AI actually works.
Compare leading AI assistants and where each one fits your workplace scenarios.
Create, test and improve prompts, then learn to engineer the context behind them.
Summarize, compare and extract insight from long business documents.
Identify hallucinations and unsupported claims before you rely on an AI answer.
Solve a real workplace problem end to end using Generative AI.
The real workplace scenarios you'll practice, pulled directly from the program's applied curriculum.
Solve a real workplace problem end to end: define the opportunity, prompt, context, workflow, human review points and expected business benefit.
The program focuses on choosing the right AI capability for the task, not memorizing a long tool list.
ChatGPT · Microsoft Copilot · Gemini · Claude · Perplexity · Grok · DeepSeek
Microsoft 365 · Google Workspace · Teams · Notion AI · Slack AI
NotebookLM · PDF analysis · enterprise knowledge bases
Excel · Google Sheets · Power BI
Power Automate · Zapier · n8n · Make
A preview of the ten modules inside the program. See the full breakdown in the detailed curriculum.
What Generative AI is, the evolution of AI, foundation models, LLMs, GenAI vs search and automation.
Training, tokens, context, inference, probability, model limitations and hallucinations.
Text, image, audio, video, document and multimodal AI; enterprise copilots.
Prompt structure: role, task, context, constraints, output format, examples and iteration.
Background information, source documents, business rules, examples, audience and constraints.
Emails, reports, proposals, summaries, rewriting, tone control, translation and executive communication.
Research, summarization, synthesis, comparison, question decomposition and information extraction.
Brainstorming, hypothesis generation, structured thinking, root-cause analysis and scenario analysis.
Document Q&A, extraction, classification and summarization; recurring tasks, AI assistants, templates and workflow redesign.
Hallucinations, bias, privacy, confidentiality, copyright, verification and human oversight; solve a real workplace problem using Generative AI.
A practical introduction to AI and generative AI for all employees to understand core concepts, recognize useful applications, and use AI responsibly.
Go beyond AI basics to understand models, tokens, context, RAG, AI agents, and enterprise evaluation.
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.