Generative Python
Text Prompting
The bridge from Python to applied AI and machine learning. Master prompt engineering with ChatGPT, GPT-3.5, GPT-4, GPT-4o, GPT-o1 and GPT-5.2 using Python.
Introduction to OpenAI & GPT
Understand what OpenAI, GPT-3.5, GPT-4, and ChatGPT are — how they work, why they're different, and what they can do.
Python & Libraries Setup
Set up Python for AI development — install libraries, configure your IDE, connect to the OpenAI API, and build your first chatbot.
GPT-3.5/4o/5.2 Text Generation
Generate text with style, genre, and purpose — train and fine-tune GPT models, optimise output, and work with GPT-4 specifically.
Prompt Engineering
Master prompt design — from basic to advanced techniques in both GPT-3.5/4 and ChatGPT, including optimisation and multi-model combinations.
Building Custom Language Models
Go deeper into model architecture — understand the GPT training process, build custom models, and optimise training datasets.
Ethics with GPT-3.5/4o/5.2
Understand ethical concerns, potential biases, and strategies for responsible AI application development.
Future of AI
Explore current and emerging trends, future applications, and how to stay relevant as AI and NLP evolve.
Deploying GPT-3.5/4o/5.2 in Production
Take models live — deployment options, web and API integration, performance optimisation, and scalability planning.
Using GPT-3.5/4o/5.2 for Data Analysis
Apply language models to data analysis — natural language queries, selecting analysis tasks, and optimising GPT for data workflows.
Creating Interactive GPT Applications
Build real interactive tools — text-generation apps, interactive stories, games, and engaging user-facing applications.
NLP, ChatGPT & GPT-3.5/4o/5.2
Bridge into NLP — understand NLP concepts, combine techniques with Python, and see how GPT-4o/5.2 advances the field.
Generative Python Text Prompting Professional
- You can use Python to control and apply language models in real workflows
- You can build, deploy, and optimise GPT-powered applications
- You are ready to move into applied AI and machine learning
This course bridges Certified Python Professional (C|PP™) and Certified Artificial Intelligence and Machine Learning Professional (C|AIMLP™). The ideal pathway is C|PP → G|PTPv2 → C|AIMLP.

