
No login required to use the latest ChatGPT family (This makes you stealthy and anonymous {Sort of! } )
Very good at analysing images e.g. Grocery receipts (Spending Insight)
Create a free account to get access to the latest ChatGPT family
Lots of features and functionality e.g. Create a project to group your chats and files
A lot of this of the course is done on the free version to save you money
Your learning pathway
Staying on track with the course is important as 1 topic prepares you for the next !
Before we dive too deeply into the amazing things AGI can do, it’s really important to take a short pause and talk about how to use it safely and responsibly.
Don't be left out of the conversation!
These terms are worth remembering especially when discussing AI.
This lecture was 95% assembled using AGI generated topic images and a read aloud of my script, demonstrating the power of AGI as a productivity tool
No history of your chat or uploaded files, generated images is kept
But there is a gotcha that may catch you out if you do not pay attention
How ChatGPT remembers you and how to turn it off !
Why type when you speak to ChatGPT !
You'll see/hear how voice mode is driven by different models based on subscription plans.
When the chat is finished I'll show you how to archive your chat for later use.
Using canvas mode will increase your productivity when working with content like documents, text, code etc
A quick demo of connecting to apps using a paid plan
Organise your work and keep chats in context
Why you should consider the "Thinking Style" when writing prompts
Give a person an answer, they win today. Teach them to prompt, they win every day.
Use this pattern for common tasks where format is familiar.
Introducing template use to ensure consistent output
Use this pattern for specific tone/structure and repeatability
Use this pattern for custom schemas, rigid formats, niche styles.
Use this pattern for better assumptions without long instructions.
Use for: deterministic, copy-pastable results.
Use this pattern for controlling length, tone, scope, quality.
How to structure the pattern and apply as a prompt
Run the prompt and observe the results
Make a prompt change to test rejections
Testing if quality criteria is really necessary
Use this pattern for multi-stage tasks to reduce errors
Have the model prompt you for the plan parameters like a data entry process
Generate the plan and review how well it followed the pattern
Use this pattern for improving a first draft quickly e.g. Cover letters for job applications, management reports etc.
Set a scorecard scale to ensure output quality is met
Use this pattern for catching assumptions and weak claims.
Use this pattern for concise trade-off summaries.
Use for: keeping content but changing voice/tone.
Use this pattern for pulling facts into tables/fields.
Great for data analysts wrangling data for analysis
Understand what embeddings, vector indexes, and retrieval are (no code).
Creating projects to organise your work
Add files for grounded AI
Chunk & Index the file for more accurate answers
Incorporate the chunk file into the project
What are instructions ?
Are there different types and uses ?
Why are they important ?
Specific Data Analysis Instructions , watch this lecture closely if you are a data analyst !
Zero shot prompt to analyze supplied retail data and let the instructions do the rest
You are a busy book keeper that needs to organise a clients spending data and get it ready for their tax return
The data is a mish mash of business and personal spending.
How can Gen AI help with this ?
In this section we'll use ChatGPT 5.1
Create the project, set the instructions, upload the data , QA check, Stats Report
The project data and prompt(s) are included for you to try out
Clean and normalize the data as per the schema specification
Create rules that will transform the data e.g. Define account categories , expense splits
Apply the book keeping rules to classify the data (Use provenance as Audit Trail)
Apply the book keeping rules to classify the data (Use provenance as Audit Trail)
Understanding the importance of rule definition is highlighted here
Flag ambiguous data for further processing to ensure data completeness
Finalise the Book Keeper client data
Now that you are very familiar with workflow in projects let's build a project you can use to optimize your job seeking activities that will improve your chances of an interview at the very least!
Create a Job Target Statement that will keep you focused during your job hunt
AI based job search using the Job Target Statement
Extract details about the job , this will be used to test you CV applicability
More and more job applications are assessed using AI based ATS and get rejected, in this step we'll address this!
Write the prompt and generate the cover letter for the job application
Run the refinement using Canvas
ChatGPT Voice mode will interview you for the job you applied for, helping you build confidence for the real interview
We need to be strict with the pattern to keep ChatGPT on track
ChatGPT Voice mode will interview you for the job you applied for, helping you build confidence for the real interview
Have some fun with Voice mode and see how this will help build your interview confidence for the real interview
Your interview is scored and feedback ready for you to do another rehearsal to refine your style and attend the real interview with confidence
A GPT is not a new model but a configured AI workspace with a role (and more)
Why this approach to building a GPT is not recommended
Naive RAG and the GPT
Embedding & Indexing source files for use in the GPT
Preparing the the material for the GPT ( a focused/specialised GPT)
Chunking & Indexing using a specialist chunking pattern
Create the GPT with concise instructions
Design, document choice, and the real limits of UI-based RAG
We look at how agents connect to external data, what permissions you’re granting, and the key privacy considerations to understand upfront.
Defining a clear job for an agent and how simple execution prompts trigger that job reliably without restating instructions
Run the agent for the first time, review its analytics and charts, and validate the results against the same dataset in a Qlik Sense app
Demonstrating how re-running the same agent job against new data highlights changes visually without altering the job instructions.
Has this happened to you ?
Your manager introduced ChatGPT into the business.
You were told what not to do, but not how to use it properly.
Meanwhile, job descriptions are now asking for AI skills you were never formally trained in.
This course is designed for professionals, students and managers who want practical, real-world AI skills, not hype, theory, or technical complexity.
You’ll learn how tools like ChatGPT actually work, how to use them safely in professional & academic settings, and how to apply them to everyday tasks such as writing, analysis, decision support, and job applications.
We go beyond basic prompting.
You’ll learn structured, repeatable ways of working with AI:
How to give clear instructions with intent
How to ground outputs with reliable information
How to design workflows instead of “asking and hoping it works”
How to produce consistent, reliable results
You’ll also see practical use cases across real tasks, including job seeking, bookkeeping, diagnostics, and data analysis , all without coding or the need for a technical background.
AI is already entering the workplace. The question is not whether to use it, but how to use it properly and more importantly protect yourself from getting laid off because you don't understand Gen AI at work.
In my own role as a Data Analyst, structured AI workflows have increased my productivity by more than 30% , by reducing repetitive tasks and improving data validation and decision support .
People who learn to integrate AI thoughtfully into their workflow will:
Work more efficiently
Deliver more structured outputs
Increase their professional value
Stay competitive in a rapidly changing job market
This course will give you the foundation to do all of that that, clearly, responsibly, and confidently.
Note: This course contains AI generated content e.g. Images to confirm subject matter works as designed