Transformers have revolutionized artificial intelligence — enabling breakthroughs in natural language processing, computer vision, audio synthesis, and even protein folding. In this immersive course, you’ll gain a deep and practical understanding of transformer architecture, its mechanics, and its real-world use cases.

Starting with the fundamental building blocks — attention mechanisms, positional encoding, and tokenization — you’ll move into constructing your own simplified transformers and graduate to implementing real-world architectures like BERT, GPT, and Vision Transformers (ViT).

You’ll train language models, fine-tune for downstream tasks like sentiment classification and question answering, and optimize for inference speed and deployment. This course bridges theory with implementation, equipping you to work on cutting-edge AI applications in NLP, search, healthcare, and more.

Whether you’re an aspiring machine learning engineer or experienced data scientist, mastering transformers is your gateway to state-of-the-art AI.

Delivery
Courses are delivered 100% online. Learn on your schedule — videos, case studies, and templates are available instantly upon enrollment. All content is optimized for mobile and desktop.

Refunds
If you’re not confident deploying or fine-tuning transformers by the end, contact us within 30 days for a refund.

Language
English

Curriculum Tab
Module 1: Transformer Fundamentals – Self-attention, encoder-decoder, position encodings, layer norm.
Module 2: NLP with Transformers – Fine-tuning BERT, question answering, summarization, masking.
Module 3: Vision & Multimodal Transformers – ViT, image captioning, cross-modal training.
Module 4: Scaling, Optimization, Deployment – Transfer learning, quantization, inference strategies.
Capstone AI Demo: Create a functional web app using a fine-tuned transformer model (NLP or ViT) deployed on the cloud.