Generative Python Text Prompting (G|PTPv2 ™)

*COURSE IS UNDER REVIEW AND BEING UPDATED TO VERSION 3!

Due to some issues and changes in our systems and updates by OpenAI as well, we have decided to pull back on this course and re-evaluate all the topics, change content, enhance content and remove content. In addition we are making changes to ALL the scripts used on this course to properly reflect the changes so that ALL scripts work as intended. Thank you for your patience.

The GENERATIVE PYTHON TEXT PROMPTING (G|PTPv2 ™) is the second iteration of this unique course. We wanted to create something unique that would help all learners master ChatGPT, GPT-3.5 and GPT-4 Prompt Engineering using Python programming, without the fuss and by example. Following the same recipe as our successful Certified Python Professional (C|PP™), online self-study and self-paced course, our third major product was born.

We built this course introducing Generative Artificial Intelligence with ChatGPT, GPT-3.5 and GPT-4 and providing methods to demonstrate “PROMPT ENGINEERING” using our favourite programming language Python. We also took notes from our previous experiences and built a rich content course, full of Python 3x examples at every stage of the course. Students who want to learn Artificial Intelligence with ChatGPT, GPT-3.5 and GPT-4 and have experience in Python 3x or have already attended our successful Certified Python Professional (C|PP™) course, you will love this course! What you can do after a course like this is leverage your skills, and create tools such as virtual assistants, that are powered by audio and NLP.

GENERATIVE PYTHON TEXT PROMPTING
(G|PTPv2™)

ChatGPT, GPT-3.5, and GPT-4 are all language models developed by OpenAI. They are designed to understand and generate human-like text based on input data. ChatGPT is a conversational AI model based on GPT-3.5, while GPT-3.5 and GPT-4 are large-scale language models designed for a wide range of natural language processing tasks. GPT-4 is an even more advanced version of the GPT series, with improvements in performance, capability, and generalisation.

Python, a high-level, general-purpose programming language, was created by Guido van Rossum in the late 1980s and named after the British comedy group Monty Python. Since its first release in 1991, Python has become one of the most popular programming languages worldwide, owing to its easy-to-learn syntax, versatility, and application in various fields such as web development, data science, machine learning, and artificial intelligence. As an open-source language, Python can be freely distributed and modified, fostering a large community of developers who actively contribute to its development and growth.

With our Generative Python Text Prompting (G|PTPv2™) course, we will teach you all you need to know about ChatGPT, GPT-3.5 and GPT-4 integration with Python programming and using the OpenAI API to unleash Artificial Intelligence, for use in your business and development projects.

GPT-3/4 Audio Chat Assistant

Generative Python Text Prompting (G|PTP™)

TARGET AUDIENCE

The following learners will benefit from the Generative Python Text Prompting (G|PTPv2™) course:

  • Anyone: All people who are interested in leveraging the new age of AI from OpenAI and coupling that with a simple to use language such as Python, will be able to take advantage of tools such as Chat GPT, GPT-3.5 and GPT-4 to enhance their lives and careers instantly!

  • Anyone: who has already attended our Certified Python Professional (C|PP™) course or any other programming course.

  • Beginners: AI with ChatGPT, GPT-3.5 and GPT-4 is easy and Python's easy-to-learn syntax and high readability make it an ideal language for beginners who are just starting to learn artificial intelligence programming.

  • Data scientists: Python is a popular language in the field of data science due to its ability to handle large datasets and its powerful libraries for data analysis and visualisation. ChatGPT, GPT-3.5 and GPT-4 are revolutionising the world of data science.

  • Artificial intelligence and machine learning professionals: Python's powerful machine learning libraries, such as TensorFlow and Scikit-learn, make it a popular language for AI and ML applications using ChatGPT, GPT-3.5 and GPT-4 APIs from OpenAI.

  • Scientists and researchers: Python is widely used in scientific research because of its flexibility, large community of developers, and the ability to handle complex data and integrating AI with ChatGPT, GPT-3.5 and GPT-4 unleashes your research capabilities and results.

  • Business Analysts, Sale and Marketing Executives: Python's ease of use and powerful data analysis tools make it an ideal language for business analysts who need to work with large datasets and perform data analysis. Coupled with the integration of AI with ChatGPT, GPT-3.5 and GPT-4, business analysis will expand their reach with AI.


CURRICULUM

  • Learn everything you need to know about ChatGPT, GPT-3.5 and GPT-4 and integration with Python programming!

  • 5x days of intense, quality and fun learning.

  • Aesthetically pleasing in print, digital and audio formats.

  • Horizontal learning experience for more immersive study.

  • 55+ Hours of learning rich, targeted and in-depth content without the fluff.

  • Content, demos, labs and exercises prepared by our professionals, at every stage and topic of the course for beginners and advanced levels.

  • Official and only learning courseware, for the G|PTP™ online and on-site course.

Course Formats

  • Digital Courseware Book: for instructor-led courses (online or on-site) and for eLearning platform.

  • Print Courseware Book: for instructor-led courses (online or on-site) only and on-demand.

  • Online Audiovisual Self-Study Self-Paced: course (via our Obi.Academy eLearning platform).

Course Delivery:

The Generative Python Text Prompting™ - (G|PTPv2 ™) course is available online as a self-paced self-study course or as an instructor-led online and onsite, with our approved training partners (ATPs) in the UK and Europe. Obipixel Ltd is actively in discussions with potential partners in the USA, Africa and Asia. To enquire about becoming an approved training provider and affiliate or a learner/attendee on our courses with our partners with Obi.Academy please contact us for further details.

Module 1: Introduction

  • What is OpenAI?

  • What is the mission of OpenAI?

  • What is GPT-3.5/4?

  • How does GPT-3.5/4 work?

  • What is ChatGPT?

  • Why is ChatGPT different?

  • ChatGPT features

Module 2: Python and Libraries Setup

  • What is Python?

  • Python for AI

  • Python AI libraries

  • Installing and configuring Python

  • Python IDE for developing AI

  • Install the OpenAI API in Python

  • Connect to OpenAI API and make a chatbot

Module 3a and 3b: GPT-3.5/4

  • GPT-3/4 text generation overview

  • Generating text for style and genre

  • Training GPT-3/4

  • Examples of fine tuning GPT-3/4

  • Strategies for optimising text generation

  • Working strictly with the GPT-4 model

Module 4a and 4b: Prompt Engineering

  • Introduction

  • Prompt engineering in GPT-3.5/4

  • Prompt engineering in ChatGPT

  • Advanced prompt engineering in GPT-3.5/4

  • Advanced prompt engineering in ChatGPT

  • Optimisation using prompt engineering

  • Combining multiple GPT-3.5/4 models

Module 5: Building custom language models

  • Introduction to GPT-3.5/4 model architecture

  • GPT-3.5/4 training process

  • Custom language models training

  • Training dataset selection and 
optimisation

Module 6: Ethics with GPT-3.5/4

  • Overview of ethical concerns
with GPT-3.5/4 and AI overall

  • Potential biases and ethical
 implications

  • Strategies of addressing ethical
 concerns in GPT-3.5/4 and AI
 applications

Module 7: Future of AI

  • Current trends

  • Emerging trends and
 Research

  • Potential future AI
 applications

  • Remaining relevant

  • AI and NLP

Module 8: Deploying GPT-3.5/4 in production

  • GPT-3.5/4 deployment options

  • GPT-3.5/4 models for web and API’s

  • Optimising model performance

  • Scalability

Module 9: Using GPT-3.5/4 for data analysis

  • Natural language data analysis

  • Selecting appropriate analysis 
tasks

  • Optimising GPT-3.5/4 for data analysis

Module 10a and 10b: Creating interactive GPT-3.5/4 applications

  • GPT-3.5/4 techniques for interactive apps
using text generation

  • Building an interactive story with GPT-3.5/4

  • Building an interactive game with GPT-3.5/4

  • Designing engaging and effective 
interactive apps

Module 11: NLP, ChatGPT and GPT-3.5/4

  • What is NLP?

  • NLP Characteristics

  • Using Python to show NLP

  • Combining NLP techniques

  • ChatGPT and GPT-3.5/4 features

  • GPT-4