What you’ll learn (and build)
From neural network fundamentals to state-of-the-art NLP and generative AI, this course ensures you can ship working AI systems. You will implement tokenization & embeddings, construct and fine-tune Transformer/LLM architectures, and wire up RAG pipelines with vector databases. You’ll package models with FastAPI, containerize with Docker, and deploy to cloud with CI/CD while tracking experiments and monitoring performance.
- Curriculum aligned to high-demand AI roles and interview patterns.
- Python-first stack: PyTorch, Transformers, FastAPI, Faiss/PGVector.
- Project portfolio with measurable business impact and metrics.
Keywords: Deep Learning course, NLP course, Generative AI with Python, Transformer models, Large Language Models, LLM fine-tuning, RAG, vector databases, MLOps, AI deployment, prompt engineering.