The Certification: Build Large Language Models from Scratch with Python equips you with the hands-on skills to develop advanced language models using Python and leading deep learning frameworks. By completing this program, you will gain practical expertise in neural network components, training methodologies, and advanced techniques, giving you a competitive edge and future-proofing your career in AI and machine learning. Enroll today to unlock higher income potential and adaptability in the evolving world of artificial intelligence.

This certification covers the following topics:

• Core Concepts of Language Models (Bigram)
• Introduction to PyTorch
• Neural Network Components
• Attention Mechanisms: Self-Attention and Multi-Head Attention
• Training Methodologies and Hyperparameter Tuning
• Embedding Vectors and Their Importance
• Significance of Positional Encoding in Transformer Networks
• Utilizing GPUs for Efficient Model Training
• Role of the Loss Function and Gradient Descent
• Tokenizers: Character-Level vs. Word-Level