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Beginner
Artificial Intelligence & Machine Learning
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Essentials of Large Language Models: A Beginner’s Journey
Educative
Platform
· Washington, USA
About this course
Learn how large language models (LLMs) work, from inference and training to prompting, embeddings, attention, and retrieval-augmented generation (RAG). This beginner-friendly course provides a systems-level perspective on LLM architecture, tokenization, embeddings, attention mechanisms, training dynamics, and deployment. You’ll build practical skills in prompt engineering, using embeddings and RAG, evaluating LLM performance, and architecting real-world AI applications such as conversational agents and automation.
Prerequisite Skills
Skills you should have before taking this course
Python
Basic Machine Learning Concepts
Probability and statistics basics
Skills Gained
Skills you will develop by completing this course
Prompt Engineering
Large Language Models
Retrieval-Augmented Generation (RAG)
Embeddings
Attention mechanism
Transformer architecture
LLM training and inference
LLM evaluation and safety