Large Language Models (LLM) Masterclass & Engineering
Deep dive into LLM mechanics, inference optimization, RAG, and fine-tuning open-source models.
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About This Program
An engineering-heavy curriculum dedicated to mastering large language models from first principles to production scale.
Curriculum Modules
Under the Hood of Large Language Models
Decoder-only architectures, positional encodings, KV caching, and sampling strategies.
Fine-Tuning Open Source LLMs
Supervised fine-tuning (SFT), DPO, LoRA adapters, and dataset preparation.
High-Performance Inference & Serving
Optimizing throughput with vLLM, TensorRT-LLM, quantization, and memory caching.
psychology Competencies You Will Build
work Target Career Roles
terminal Tool Stack
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