Generative Python Text Prompting (GPTP) Self-paced

This self-paced course contains the course materials, audio with every slide, demos, labs and exercises for download for every topic and a digital ePub version.

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Algemene omschrijving

This self-paced course contains the course materials, audio with every slide, demos, labs and exercises for download for every topic and a digital ePub version.

ChatGPT, GPT-3, 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, while GPT-3 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.

  • Format: Online Self-Paced Learning system (45+ hours of rich content).
  • Modules: 11.
  • Audio: Yes with every slide.
  • LABS: Within the course there are demos, labs and exercises available for download for every topic.
  • ePub: A digital ePub version is available, when online self-paced course is purchased.

Doelgroep

The following learners will benefit from the Generative Python Text Prompting (G|PTP™) 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 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 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 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 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 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 and GPT-4, business analysis will expand their reach with AI.

Leerdoelen

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.

With our Generative Python Text Prompting (G|PTP™) course, we will teach you all you need to know about ChatGPT, GPT-3 and GPT-4 integration with Python programming and using the OpenAI API to unleash Artificial Intelligence, for use in your business and development projects.

Voorkennis

Students who want to learn Artificial Intelligence with ChatGPT, GPT-3 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!

Onderwerpen

Module 1: Introduction

  • What is OpenAI?
  • What is the mission of OpenAI?
  • What is GPT-3/4?
  • How does GPT-3/4 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 3: GPT-3/4

  • 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.

Module 4: Prompt Engineering

  • Introduction.
  • Prompt engineering in GPT-3/4.
  • Prompt engineering in ChatGPT.
  • Advanced prompt engineering in GPT-3/4.
  • Advanced prompt engineering in ChatGPT.
  • Model Blending.
  • Optimisation using prompt engineering.
  • Combining multiple GPT-3/4 models.

Module 5: Building custom language models

  • Introduction to GPT-3/4 model architecture.
  • GPT-3/4 training process.
  • Custom language models training.
  • Training dataset selection and optimisation.

Module 6: Ethics with GPT-3/4

  • Overview of ethical concerns with GPT-3/4 and AI overall.
  • Potential biases and ethical implications.
  • Strategies of addressing ethical concerns in GPT-3/4 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-3/4 in production

  • GPT-3/4 deployment options.
  • GPT-3/4 models for web and API’s.
  • Optimising model performance.
  • Scalability.

Module 9: Using GPT-3/4 for data analysis

  • Natural language data analysis.
  • Selecting appropriate analysis tasks.
  • Optimising GPT-3/4 for data analysis.

Module 10: Creating interactive GPT-3/4 applications

  • GPT-3/4 techniques for interactive apps using text generation.
  • Building an interactive story with GPT-3/4.
  • Building an interactive game with GPT-3/4.
  • Designing engaging and effective interactive apps.

Module 11: NLP, ChatGPT and GPT-3/4

  • What is NLP?
  • NLP Characteristics.
  • Using Python to show NLP.
  • Combining NLP techniques.
  • ChatGPT and GPT-3/4 features.
  • GPT-4.

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