AI Training Day for Developers

Session conducted by:
Lee Davies: AI Engineering Director
Ash Hitchcock: Head of Development

Date: Thursday 06 March

Duration: Full-day session
Time: 09:30 am - 16:30 pm

9:30 AM – 10:45 AM | Introduction to LLMs (Lee)

This session provides a foundational understanding of Large Language Models (LLMs) and how they work. We’ll cover key concepts and demonstrate how different models perform in various tasks.

Topics Covered:

• What is a Large Language Model?
• Understanding tokens, embeddings, and context windows
• How models handle prompts and generate responses
• Live demonstration: Comparing responses from different models
• Generating text, images, and video with AI

11:00 AM – 12:15 PM | Using Copilot in Your Workflows (Ash)

This session explores how AI-powered coding assistants like GitHub Copilot can enhance your development workflow.

Topics Covered:

• How Copilot works: Under the hood of AI-assisted coding
• Best practices for integrating Copilot into your workflow
• Real-world coding examples and live demos
• Strengths, limitations, and ethical considerations

1:15 PM – 2:45 PM | Building an Application Using Cursor.ai (Lee)

In this hands-on session, you’ll learn how to build and deploy applications using Curser, an AI-native development platform.

Topics Covered:

• Introduction to Cursor: What it is and how it works
• Creating an application from scratch
• Modifying and updating the AI-created application

3:00 PM – 4:30 PM | Embedding LLMs into Your Application Logic (Lee)

This final session will dive deeper into integrating LLMs into business applications. We’ll explore techniques for embedding AI capabilities into your software solutions.

Topics Covered:

• Different approaches to integrating LLMs (API calls, on-device models, vector databases)
• Enhancing user interactions with AI-driven automation
• Handling context and memory in AI applications
• Security and cost considerations when deploying AI models

Ash Hitchcock, Head of Development

Ash joined Fresh Egg as a senior web designer in 2012. Specialising in front end development, he is responsible for leading the production, modification and maintenance of websites and web application user interfaces. Ash is a full stack developer, with familiarity in each layer of the website development process and a passion for the JAMStack. He has a skillset encompassing HTML, CSS and JavaScript, as well as Gatsby, React, NodeJS, PHP, WordPress, MySQL, and working in a ASP.net environment. While working at Fresh Egg, he has also gained his Google Analytics Individual Qualification along with platform qualifications for Optimizely, Monetate and Qubit.

Lee Davies, AI Engineering Director

Lee started his professional journey immediately after university, founding the development agency Netescape Limited. For 17 years, he led the company, specialising in creating solutions for both public and private sector clients, including numerous policing agencies and UK Public Transport Operators. His leadership resulted in the development of a SaaS platform, which led to the successful sale of the agency to a technology group focused on transport. Lee is now pleased to be building on his experience and expertise in Artificial Intelligence at Fresh Egg, applying his vast experience across a diverse range of client projects as our AI Engineering Director.