Artificial Intelligence (Ai) For People Who Learn By Doing

Having taught thousands of people about AI, I've found the best way is to get them hands on. Join us and see!

What you'll learn

Define and understand Artificial Intelligence, Machine Learning & Deep Learning

Train machine learning algorithms on real-life data, learning key strengths and weaknesses

Gain familiarity with generative AI tools, like chatGPT to improve how you work

Understand the limitations of AI, and how to mitigate these

Identify business opportunities afforded by AI, and the first steps for taking them

Requirements

No prior knowledge or experience is necessary.

A laptop or desktop computer onto which you can download some software (i.e. probably not your corporate IT) is required for the main hands-on exercises.

Description

"I think this session will change how I work for the rest of my career […] It's been mind-blowing for me" - Director, Manufacturing Company.“We all thought it was great. Really relevant and helpful. Definitely moves our thinking on” - Peter Cooper, CEO, Heart of Mercia Multi-academy trustAbout the courseIn this course, join Dr James Kuht MBE, as he takes you through the theory you need to know about AI & Machine Learning, and then gets you hands-on: training your first AI algorithms and solving a series of business problems using large language models.James has taught thousands of senior leaders across the world about AI; from top military Generals, to Politicians, to Senior Civil Servants, to Hospital Directors, to Headteachers. This course is the culmination of all of this experience, condensed into just a few hours of learning.Is this course for you?Are you excited by the possibilities of Artificial Intelligence (AI) and want to learn more?Do you feel like your organisation could really benefit from AI, but you don't know the first steps to take?Are you the type of person who likes to get their hands dirty and try something out to really understand it?If any of these sound like you - then you're in the right place.

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 How to get the most out of this course

Section 2: What is AI? Why is it important? How does it work? …and why now?

Lecture 3 Introducing this section

Lecture 4 Definitions of AI and machine learning

Lecture 5 Why is Machine Learning useful?

Lecture 6 How do Machine Learning algorithms work?

Lecture 7 Why now?

Section 3: Training your first Machine Learning Algorithms

Lecture 8 Introducing this section

Lecture 9 Getting set up with Weka

Lecture 10 Exploring the data and 'pre-processing'

Lecture 11 Supervised Machine Learning - training your first algorithms

Lecture 12 Unsupervised Machine Learning - clustering

Lecture 13 Summary

Section 4: Hands on with Large Language Models and other consumer AI applications

Lecture 14 Introduction: What are LLM's and why are they useful?

Lecture 15 Hands-on LLM challenges that will transform how you work!

Lecture 16 How I use LLM's in my workflow

Lecture 17 Organisational implications of using LLM's and consumer AI products

Section 5: Bringing it all together - working and leading in an era of AI

Lecture 18 Introducing this section

Lecture 19 Top 10 tips for implementing AI in your organisation

Lecture 20 The dark side of data and algorithms

Lecture 21 Conclusion

Those who'd like to learn more about AI (Artificial Intelligence) by doing.