Learning Paths
Guided multi-course tracks on neo-ai — AI Foundations, Deep Learning Engineer, NLP, Computer Vision, Generative AI, MLOps, Agentic AI, and more.
Example learning paths
- AI Foundations — Python, math, data science, and ML basics
- Deep Learning Engineer — neural networks, PyTorch, TensorFlow, MLOps
- NLP and Language AI — transformers, RAG, fine-tuning, LLM deployment
- Computer Vision — CNNs, object detection, segmentation, ViT
- Generative AI and LLMs — transformers, diffusion, production LLMs
- Agentic AI — agents, multi-agent systems, tool use