About

Text-only AI is the past. Multimodal AI is the future. The generative AI landscape is evolving at lightning speed. ChatGPT was just the beginning; today’s most powerful models don't just read text—they "see" and understand images. Companies are desperately searching for Deep Learning Engineers who can build Vision Transformers (ViTs) and Multimodal systems. If you are only learning standard Machine Learning, you are already falling behind the curve.

This is a 100% LIVE, 6-week intensive bootcamp that takes you deep into the underlying math and code of the AI revolution. You won't just call APIs; you will build a Transformer model completely from scratch using PyTorch. Designed perfectly for university students, our alternate weekday classes ensure you have the exact balance needed to master complex neural network architectures while managing your college coursework seamlessly.

Join a live cohort, understand the core mechanics of Self-Attention, build custom Large Language Models (LLMs), fuse text with vision, and earn a Graded Certification that proves to recruiters you are a top-tier Deep Learning Engineer.

Skills Unlocked

• Deep Learning & PyTorch: Master tensors, neural networks, and the foundational math of backpropagation.
• Transformer Architecture: Understand Attention mechanisms, Encoders, Decoders, and build a Transformer from scratch.
• The LLM Pipeline: Master Tokenization (BPE, WordPiece), dataset preparation, training loops, and temperature sampling.
• Vision Transformers (ViT): Learn why ViTs are replacing CNNs, master patch embeddings, and fine-tune image classifiers.
• Multimodal AI Integration: Understand CLIP, cross-attention, and how to build systems that process both text and images simultaneously.