• views: 107
• date: 16 August 2025
• posted by: 0nelove

Designed to help software engineers transition to AI engineering. This course includes detailed breakdowns of vector databases, indexing, large language models, and the attention mechanism.
What will you learn?
Build mental models for how GPT-style LLMs work.
Understand tokenization, embeddings, attention, and masking.
Optimize LLM inference using caching, batching, and quantization.
Design and deploy RAG pipelines with vector databases.
Compare prompting, fine-tuning, and agent-based architectures.
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