43. Prefill vs Decode | Generative AI & LLMs Course (Covers NVIDIA NCP-GENL)
на канале: AI with KΛDΞR
Generative AI & LLMs Course (Covers NVIDIA NCP-GENL)
Master the complete Generative AI and Large Language Model (LLM) ecosystem—from first principles to production deployment.
This comprehensive 48-part Generative AI & LLMs course covers every major component of modern LLM systems, including tokenization, embeddings, transformer architecture, attention mechanisms, modern LLM architectures, model training, instruction tuning, LoRA, QLoRA, RLHF, DPO, prompt engineering, context engineering, Retrieval-Augmented Generation (RAG), vector databases, AI agents, Model Context Protocol (MCP), evaluation, AI safety, NVIDIA NeMo, GPU architecture, quantization, TensorRT-LLM, vLLM, Triton Inference Server, NVIDIA NIM, production inference, Kubernetes, observability, and enterprise AI deployment.
The course is designed to help learners understand how modern Large Language Models are built, customized, optimized, served, and deployed in production environments. It also serves as a comprehensive study companion covering the NVIDIA Certified Professional: Generative AI & LLMs (NCP-GENL) certification objectives.
Course Notebook
https://github.com/kader-xai/ml-cours...
If you enjoy this course, these playlists are a great next step:
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• Data Science with Python
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PyTorch: Build Your Own GPT
• Pytorch : Build your own GPT
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• Tensor Flow from scratch
Subscribe for more AI Engineering, LLM Engineering, Generative AI, Agentic AI, Machine Learning, Deep Learning, CUDA, PyTorch, AI Infrastructure, and Data Science courses.
Disclaimer
This is an independent educational course created by Kader Mohideen. It is not affiliated with, endorsed by, sponsored by, or published by NVIDIA. The course covers the topics included in the NVIDIA Certified Professional: Generative AI & LLMs (NCP-GENL) certification for educational purposes.
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