Introduction to Generative AI Transformer Models in Python

Introduction to Generative AI Transformer Models in Python, available at $54.99, with 21 lectures, 4 quizzes, and has 434 subscribers.

You will learn about Understand the fundamentals of generative AI Transformer models. Differentiate Transformer models from traditional neural networks. Recognize key applications of Transformer models in NLP and beyond. Grasp the architecture of Transformer models, including encoders and decoders. Implement Transformer models and applications in Python. Prepare data and train Transformer models effectively. Evaluate and analyze Transformer model performance. Build practical applications using transformers like text classification, language translation, and question answering. Fine-tune pre-trained Transformer models for specific tasks. Explore advanced models like BERT and GPT for practical use cases. This course is ideal for individuals who are Aspiring data scientists and machine learning enthusiasts seeking to understand Transformer models. or Software developers and engineers looking to apply advanced AI techniques in their projects. or AI researchers and students aiming to explore state-of-the-art natural language processing techniques. or Professionals in the field of data analysis and AI who want to enhance their skill set with modern Transformer models. or Beginners with a basic understanding of Python and machine learning concepts, eager to learn about cutting-edge AI technologies. It is particularly useful for Aspiring data scientists and machine learning enthusiasts seeking to understand Transformer models. or Software developers and engineers looking to apply advanced AI techniques in their projects. or AI researchers and students aiming to explore state-of-the-art natural language processing techniques. or Professionals in the field of data analysis and AI who want to enhance their skill set with modern Transformer models. or Beginners with a basic understanding of Python and machine learning concepts, eager to learn about cutting-edge AI technologies.

Enroll now: Introduction to Generative AI Transformer Models in Python

Summary

Title: Introduction to Generative AI Transformer Models in Python

Price: $54.99

Number of Lectures: 21

Number of Quizzes: 4

Number of Published Lectures: 21

Number of Published Quizzes: 4

Number of Curriculum Items: 25

Number of Published Curriculum Objects: 25

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

• Understand the fundamentals of generative AI Transformer models.
• Differentiate Transformer models from traditional neural networks.
• Recognize key applications of Transformer models in NLP and beyond.
• Grasp the architecture of Transformer models, including encoders and decoders.
• Implement Transformer models and applications in Python.
• Prepare data and train Transformer models effectively.
• Evaluate and analyze Transformer model performance.
• Build practical applications using transformers like text classification, language translation, and question answering.
• Fine-tune pre-trained Transformer models for specific tasks.
• Explore advanced models like BERT and GPT for practical use cases.

Who Should Attend

• Aspiring data scientists and machine learning enthusiasts seeking to understand Transformer models.
• Software developers and engineers looking to apply advanced AI techniques in their projects.
• AI researchers and students aiming to explore state-of-the-art natural language processing techniques.
• Professionals in the field of data analysis and AI who want to enhance their skill set with modern Transformer models.
• Beginners with a basic understanding of Python and machine learning concepts, eager to learn about cutting-edge AI technologies.

Target Audiences

• Aspiring data scientists and machine learning enthusiasts seeking to understand Transformer models.
• Software developers and engineers looking to apply advanced AI techniques in their projects.
• AI researchers and students aiming to explore state-of-the-art natural language processing techniques.
• Professionals in the field of data analysis and AI who want to enhance their skill set with modern Transformer models.
• Beginners with a basic understanding of Python and machine learning concepts, eager to learn about cutting-edge AI technologies.