AI / MLLocked
Transformers
Transformers are the architecture behind GPT, BERT, and modern AI systems. This concept is locked until you strengthen your Deep Learning foundations. Once unlocked, you will cover attention mechanisms, positional encoding, and fine-tuning.
Locked
Difficulty
Expert
Estimated Time6weeks — ~10 hrs/wk
Total Hours60hours of study
Practice Readiness0%
Why It Matters
Transformers are the architecture powering GPT, BERT, DALL-E, Stable Diffusion, and virtually every state-of-the-art AI system today. Understanding them means understanding the frontier of artificial intelligence.
Topics Included
1Self-Attention
2Multi-Head Attention
3Positional Encoding
4Encoder-Decoder Architecture
5Layer Normalisation
6Feed-Forward Networks
7BERT & GPT Variants
8Fine-Tuning & Prompting
Applications
Large language models (GPT, Claude, Gemini)
Machine translation
Code generation
Image generation (ViT, DALL-E)
Prerequisites
Used In
NLP
Computer Vision
Robotics
Machine Learning
Your Next Step
Complete Deep Learning fundamentals to unlock this concept.