Course Outline

Course Outline

Module 1: Understanding AI and Its Impact

Gain a foundational understanding of artificial intelligence, its capabilities, and potential challenges.

High-Level Overview of AI 

  • What is AI? 
  • How AI works in simple terms. 
  • Awareness of ‘AI hallucinations’ 
  • Large Language Models (LLMs) and AI agents in simple terms 

AI Ethics 

  • Importance of ethical considerations in AI. 
  • Awareness of data security and privacy when using various AI models. 
  • Basic principles and best practices for data handling when using AI tools. 

Module 2: Overview of Popular AI Tools

Gain an understanding of the key AI tools, their capabilities, and how to choose the right one based on strengths, limitations, and licensing.

Overview of Popular LLMs 

  • Copilot (Microsoft): Strengths, limitations, and licensing costs. 
  • Gemini (Google): Features, limitations, and licensing costs. 
  • ChatGPT (Open AI): Overview of capabilities, limitations, and costs 

Considerations when Choosing an LLM 

  • Integration with Existing Tech Stack 
  • Scalability and Resource Requirements  
  • Cost and Pricing Model 
  • Ethical Considerations and Safety 

Module 3: Exploring Popular AI Tools

Explore the core capabilities of leading AI tools—Microsoft 365 Copilot, Google AI Studio, and OpenAI’s ChatGPT—learning how to use them effectively for productivity, data analysis, content creation, and real-time collaboration. 

Introduction to Copilot: 

  • What is Microsoft 365 Copilot? 
  • Licensing Overview 
  • Explore the core components of Microsoft 365 Copilot 
  • Examine how Microsoft is committed to responsible AI 
  • Copilot Examples 
  • Creating Presentations: Generating ideas, outlines, and text for slides. 
  • Working in Excel: Asking Copilot for formula explanations and data analysis. 
  • Writing and Editing Documents: Drafting, summarising, and proofreading reports. 
  • Email Assistance: Crafting concise and professional email responses. 
  • Using the Copilot Designer for image generation 
  • Editing and collaborating using Copilot Pages 
  • Copilot inside of Microsoft Edge 
  • Summarising page content and highlighting key information 
  • Generating summaries with timestamps for videos 

Introduction to Google AI Studio: 

  • What is AI Studio and how to access it? 
  • Overview of data privacy  
  • AI Studio in Action 
  • Basic configurations and settings 
  • Using the prompt gallery 
  • Built-in tutorials and examples 
  • Getting Realtime Help and Working Together 
  • How to use Stream Realtime 
  • Screen sharing with AI for personalised help 
  • Sharing projects with colleagues 

Introduction to ChatGPT 

  • What is ChatGPT and how to access it? 
  • Overview of data privacy  
  • ChatGPT in Action 
  • Overview of basic configurations 
  • Using a prompt gallery 
  • Using ‘Temporary Chat’ 
  • Using ‘Search the Web’ 
  • Using ‘Canvas’ 

Getting Better Results from AI tools 

  • Understanding ‘Prompt Engineering’: How to phrase instructions to get clear, accurate results. 
  • Changing prompt settings within a platform 
  • Tips for Getting the most value: Using context, examples, and concise language for better outcomes. 
  • Edit a Copilot prompt to make it your own 
  • Sharing saved prompts with colleagues 
  • Using prompt templates (Prompt Cheat Sheets) 

Module 4: Expanding Your AI Toolkit

Leverage AI-powered apps on mobile devices to enhance productivity, research, and real-time assistance.

Exploring AI Tools on Mobile Devices 

  • How to access free AI apps on mobile (Copilot, ChatGPT, Gemini). 
  • Key features of mobile usage for productivity on the go. 
  • Taking photos of objects and getting information 
  • Using the live chat function with Gemini (conversational AI) 

Exploring other popular LLMs (time permitting)  

This module explores AI platforms that allow you to choose between different LLMs

  • Perplexity AI - Perplexity AI offers a platform where users can select from various LLMs, including ChatGPT, Gemini, and Claude, to perform different tasks and experiments.
  • Hugging Face - Hugging Face is a comprehensive platform that hosts a wide range of pre-trained models, including ChatGPT, Gemini, and Claude. Users can easily switch between models and fine-tune them for specific use cases.

Requirements

Who should attend:

This course is intended for all types of learners looking to optimise their workflow with free AI solutions.

Prerequisites

There are no prerequisites however for the course to be beneficial Learners should be comfortable using a web browser, navigating websites, and handling files. Some experience with Microsoft 365 (Word, Excel, Outlook, PowerPoint) and Google Workspace would be beneficial.

Internet Access & a Web Browser – Since many AI tools are cloud-based, participants should be able to access them online. 

 7 Hours

Delivery Options

Private Group Training

Our identity is rooted in delivering exactly what our clients need.

  • Pre-course call with your trainer
  • Customisation of the learning experience to achieve your goals -
    • Bespoke outlines
    • Practical hands-on exercises containing data / scenarios recognisable to the learners
  • Training scheduled on a date of your choice
  • Delivered online, onsite/classroom or hybrid by experts sharing real world experience

Private Group Prices RRP from £1900 online delivery, based on a group of 2 delegates, £600 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.

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Public Training

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