ChatGPT Enterprise Essentials, Certified Advanced

14 Hours across multiple sessions (online or in person)

The same syllabus as Certified Basics, taught properly, with hands-on practice at every stage.

Summary:

The full version of the ChatGPT Enterprise programme. It covers the same ten sections as the one-day course, but with the time to work through each one on the organisation’s own material, to practise rather than watch, and to build and test the custom assistants rather than see them demonstrated.

Course Breakdown:

From AI to Generative AI

• Basic concepts
• Generative AI, large language models, chatbots
• Types of AI model
• Security levels and the use of private data

AI chatbots and their functions

• Gemini, Claude, Copilot, Perplexity, Mistral, Groq, DeepSeek and the rest
• Staying safe when working in tools outside your own organisation

ChatGPT Enterprise

• What it is and why this one
• Where its boundaries are
• The models behind it
• The interface

Prompting

• Prompting styles and types
• Hallucinations and how to prevent them
• Practical examples
• Where the productivity actually comes from

One-time prompts

• Summarising text
• Creating text
• Formatting and producing structured text
• Rewriting

Content creation

• Names and slogans
• Marketing campaigns
• Image styles
• Generating ideas
• A product blog
• Comparison and analysis
• Building a presentation

Management and meetings

• Creating agendas and email communication
• Sentiment and etiquette
• Why transcripts matter
• Producing meeting minutes

Research and analysis

• Deep search and web search
• Asking questions of your own documents
• The importance of sources

Coding

• Explaining code
• Writing it
• What else becomes possible once you can

Custom GPTs

• What a custom GPT is
• Building a prompting assistant
• An HR assistant
• An expense categorisation assistant
• A business communication coach
• A simulator agent

Outcome:

Participants leave able to work fluently in ChatGPT Enterprise, prompt reliably for their own kind of work, ground answers in their own documents, and build, test and maintain custom assistants that colleagues can use.