OBI.ACADEMY COURSE PATHWAY
Bridge Course — Python → Applied AI








Generative Python
Text Prompting

G|PTPv2™

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.



Recommended prerequisite: Certified Python Professional (C|PP™)









11
Modules
5
Days
55+
Hours
Cert Validity
M1
Module 1

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.

What is OpenAI? GPT-3.5/4o/5.2 Architecture How GPT Works What is ChatGPT? ChatGPT Features
You understand how language models work and what makes GPT unique
M2
Module 2

Python & Libraries Setup

Set up Python for AI development — install libraries, configure your IDE, connect to the OpenAI API, and build your first chatbot.

Python for AI AI Libraries IDE Configuration OpenAI API Setup First Chatbot Connection
You can connect Python to the OpenAI API and build a working chatbot
M3
Modules 3a & 3b

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.

Text Generation Overview Style & Genre Generation Training GPT-3/4o/5.2 Fine-Tuning Examples Optimisation Strategies Working with GPT-4
You can generate, train, and fine-tune text output with GPT models
M4
Modules 4a & 4b

Prompt Engineering

Master prompt design — from basic to advanced techniques in both GPT-3.5/4 and ChatGPT, including optimisation and multi-model combinations.

Prompt Engineering in GPT-3.5/4o/5.2 Prompt Engineering in ChatGPT Advanced Prompt Techniques Optimisation Strategies Combining Multiple Models
You can write effective prompts that control structure, tone, and output quality
M5
Module 5

Building Custom Language Models

Go deeper into model architecture — understand the GPT training process, build custom models, and optimise training datasets.

GPT-3.5/4o/5.2 Architecture Training Process Custom Model Training Dataset Selection & Optimisation
You can build and train custom language models with optimised datasets
M6
Module 6

Ethics with GPT-3.5/4o/5.2

Understand ethical concerns, potential biases, and strategies for responsible AI application development.

Ethical Concerns in AI Potential Biases Ethical Implications Addressing Ethical Concerns
You can identify and address ethical risks in GPT-powered applications
M7
Module 7

Future of AI

Explore current and emerging trends, future applications, and how to stay relevant as AI and NLP evolve.

Current Trends Emerging Research Future AI Applications Remaining Relevant AI & NLP Landscape
You understand where AI is heading and how to stay ahead
M8
Module 8

Deploying GPT-3.5/4o/5.2 in Production

Take models live — deployment options, web and API integration, performance optimisation, and scalability planning.

Deployment Options Web & API Models Performance Optimisation Scalability
You can deploy GPT models to web and API production environments
M9
Module 9

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.

Natural Language Data Analysis Selecting Analysis Tasks Optimising GPT for Data
You can use GPT to analyse and interpret data with natural language
M10
Modules 10a & 10b

Creating Interactive GPT Applications

Build real interactive tools — text-generation apps, interactive stories, games, and engaging user-facing applications.

Interactive Text Generation Building Interactive Stories Building Interactive Games Designing Engaging Apps
You can build real interactive Python applications powered by GPT
M11
Module 11

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.

What is NLP? NLP Characteristics NLP with Python Combining NLP Techniques ChatGPT & GPT-4o/5.2 Features
You are ready to move into applied AI and machine learning
Course Completion

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
Duration
5 Days
Content
55+ Hours
Certificate
For Life

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.