Academy Course
Generative AI & LLM Architectures
Master Large Language Models, tokenization, embeddings, vector search systems, and supervised fine-tuning loops.
Course Syllabus
Syllabus 1: LLM Core
Transformers architecture, tokenizers, self-attention mechanisms, and parameters scaling.
Syllabus 2: Fine-Tuning
Supervised Fine-Tuning (SFT), LoRA, QLoRA, and optimization loops on GPUs.
Syllabus 3: Embeddings
Generating vector representations, cosine similarity metrics, and dimensional reductions.
Syllabus 4: LLMOps
Model serving endpoints, Docker containerization, cloud resource management, and model quantizations.
Duration: 6 Weeks · Level: Intermediate
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