Artificial Intelligence with GPT models using Python and OpenAI API

Preference Dates Timing Location Registration Fees
Instructor-Led Training

(In-Person and Live Webinars)
15, 17, 22, 24 August 2023 7:00 PM - 9:30 PM Dubai Knowledge Park 1260 USD

Course Description

This course is designed for individuals who have prior experience in machine learning with Sklearn and Tensorflow and are looking to expand their knowledge in the field of artificial intelligence using Python and OpenAI APIs. The course will focus on the latest language models, particularly GPT-3 and GPT-4, and their applications in various fields such as natural language processing, text generation, and chatbot development.

The course will be conducted using Python as the primary programming language, and OpenAI APIs will be used to work with GPT-3 and GPT-4 models. Participants will be provided with hands-on experience in using the OpenAI API to interact with pre-trained GPT-3 and GPT-4 models.

Unit 1 – Introduction to GPT-3 and GPT-4 models and their architecture

  • Overview of OpenAI API
  • Exploring pre-trained models and their features
  • Fine-tuning GPT-3 and GPT-4 for specific tasks

Unit 2 – Natural Language Processing (NLP) with GPT-3 and GPT-4 using OpenAI API

  • Text classification with GPT models
  • Named Entity Recognition (NER)
  • Text summarization using GPT models

Unit 3 – Sentiment Analysis with GPT models using OpenAI API

  • Introduction to Sentiment Analysis
  • Text classification with GPT models
  • Fine-tuning GPT models for Sentiment Analysis

Unit 4 – Text Generation with GPT models using OpenAI API

  • Introduction to Text Generation
  • Fine-tuning GPT models for Text Generation
  • Generating text based on prompts and context

Unit 5 – Chatbot Development with GPT-3 and GPT-4 using OpenAI API

  • Overview of Chatbot development
  • Designing a chatbot architecture
  • Fine-tuning GPT-3 and GPT-4 for chatbot development

Unit 6 – Advanced NLP Techniques with GPT-3 and GPT-4 using OpenAI API

  • Understanding Attention Mechanisms
  • Introduction to Sequence-to-Sequence models
  • Fine-tuning GPT models for sequence-to-sequence tasks

Unit 7 –  Language Translation with GPT-3 and GPT-4 using OpenAI API

  • Introduction to Language Translation
  • Overview of Encoder-Decoder models
  • Fine-tuning GPT models for Language Translation

Unit 8 – Future of GPT Models and Ethical Considerations

  • Overview of GPT-4 and future developments
  • Ethical considerations of using GPT models
  • Recap of the course and future directions
  • Programmers who want to learn about GPT models and their applications in AI.
  • Data scientists who want to explore advanced NLP techniques using GPT models.
  • AI enthusiasts who are interested in learning about the latest developments in AI.
  • Anyone who wants to enhance their skills in the field of AI and NLP.
  • Individuals who are looking to build their own chatbots or language translation tools using GPT models.
  • Students who want to explore the possibilities of GPT models and their real-life applications.
  • Anyone who wants to understand the future of AI and the potential ethical considerations surrounding GPT models.
  • Basic knowledge of Python programming language
  • Familiarity with machine learning concepts and libraries such as Scikit-learn and TensorFlow
  • Understanding of Natural Language Processing (NLP) concepts such as text preprocessing and tokenization
  • Familiarity with deep learning concepts such as neural networks, backpropagation, and gradient descent

Upon completion of this course, participants will be able to:

  • Build their own GPT models for specific tasks and projects.
  • Explore more advanced NLP techniques using GPT models, such as sequence-to-sequence models.
  • Develop chatbots and conversational agents using GPT models.
  • Use GPT models for language translation and text generation.
  • Stay up-to-date with the latest advancements in AI and GPT models by attending industry events and keeping up with relevant research.