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.
Course Outline
Audience
Prerequisites
After the Course
Course Outline
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
Audience
- 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.
Prerequisites
- 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
After the Course
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.
Testimonials
The workshop on big data and machine learning was an excellent introduction to practitioners considering using data science. Ahmed demonstrated considerable teaching talent rooted in his long expertise with systems development.
Very rewarding course. Rare to find a Deep learning course in Dubai that teaches concepts from scratch and provides practical applications. Will definitely recommend.
Innosoft Gulf Institute is educating students breaking and revolutionary techniques with focus on future trends in CIT industry. Mr. Ahmed is well updated on latest technologies related to Big Data, AI, Machine Learning, etc.
Rated as 5 star in terms of overall deliverance.
