Artificial Intelligence Training Courses

Name	Description
Prompt Engineering Essentials - using AI effectively	This course provides an introduction to AI Technologies available and gives practical examples of how these tools and techniques can be used in real-world situations today. The skills gained will open up programming as a tool for non-programmers. AI assistants like ChatGPT and CoPilot are able to write code, so if you can clearly describe what you require and are able to interpret the results you can now utilise programming as a tool. Participants will gain knowledge of the new skill of "prompt-engineering" which is learning how to phrase your interactions with AI tools. The course will primarily focus on using ChatGPT but the techniques can be adapted to other AI assistants like Copilot and many others.
Adding AI to your Python Project with the ChatGPT API	Did you know that you can add the power of AI to your own Python application by utilising the ChatGPT API? This course is designed for Python programmers who want to learn how to add AI features like sentiment analysis and natural language processing to their applications to make them smarter and more interactive. We’ll start with the basics, such as setting up and making simple API requests, and then gradually explore more advanced topics like analysing usernames for inappropriate content, doing sentiment analysis on comments and analysing a log file for suspicious activity. Continuing on we will complete more advanced tasks like specifying how the responses will be formatted using structured data and getting our own information into the model through the use of functions. By the end of the course, participants will have a solid understanding of how to leverage the OpenAI models to create smarter and more interactive Python applications.

Name

Description

Prompt Engineering Essentials - using AI effectively

This course provides an introduction to AI Technologies available and gives practical examples of how these tools and techniques can be used in real-world situations today. The skills gained will open up programming as a tool for non-programmers. AI assistants like ChatGPT and CoPilot are able to write code, so if you can clearly describe what you require and are able to interpret the results you can now utilise programming as a tool.

Participants will gain knowledge of the new skill of "prompt-engineering" which is learning how to phrase your interactions with AI tools.

The course will primarily focus on using ChatGPT but the techniques can be adapted to other AI assistants like Copilot and many others.

Adding AI to your Python Project with the ChatGPT API

Did you know that you can add the power of AI to your own Python application by utilising the ChatGPT API? This course is designed for Python programmers who want to learn how to add AI features like sentiment analysis and natural language processing to their applications to make them smarter and more interactive. We’ll start with the basics, such as setting up and making simple API requests, and then gradually explore more advanced topics like analysing usernames for inappropriate content, doing sentiment analysis on comments and analysing a log file for suspicious activity. Continuing on we will complete more advanced tasks like specifying how the responses will be formatted using structured data and getting our own information into the model through the use of functions. By the end of the course, participants will have a solid understanding of how to leverage the OpenAI models to create smarter and more interactive Python applications.