Скачать или смотреть How to Become an AI Engineer (Part 3) — LLMs, Embeddings, RAG, AI Agents Explained

Welcome to Part 3 of my “Becoming an AI Engineer” series!
In this video, we follow the official AI Engineer roadmap from Roadmap.sh and break down the real-world concepts you must understand to build modern AI systems.
This is a practical developer guide on the best way to learn Computer Science for 2026.

In this episode, I cover:
0:00 - Introduction
0:45 - What an AI Engineer actually is
1:54 - Real roles & responsibilities in industry
4:22 - How AI engineering impacts product development
6:58 - AI Engineer vs ML Engineer (key differences)
7:28 - AI vs AGI
8:18 - LLM fundamentals
9:53 - Inference vs training
11:49 - Embeddings & vector databases
14:36 - AI agents
16:27 - Retrieval-Augmented Generation (RAG)
11:07 - Prompt engineering essentials
10:24 - Benefits & limitations of pretrained models
24:45 - Overview of OpenAI models

Whether you want to become an AI engineer, transition from software development, or understand modern AI architectures, this video gives you the foundation you need.

Watch Part 1 & 2 here:
Part 1: Computer Science Fundamentals:    • Computer Science Basics: Developer Roadmap...  
Part 2: Frontend Developer:    • Frontend Developer: Developer Roadmap.sh P...  
📌 Subscribe for Part 3 (2/3) and Part 3 (3/3)

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