Description
“AI Key Concepts & Terms – The Missing Guide” is an educational course—published by the online academy Udemy—that explains the fundamental concepts, terminology, and technologies defining today’s artificial intelligence. You will explore key topics such as machine learning, deep learning, neural networks, Large Language Models (LLMs), generative AI, Natural Language Processing (NLP), and computer vision. You will discover how concepts like prompts, tokens, embeddings, transformers, Retrieval-Augmented Generation (RAG), AI agents, and model training fit together and function within modern AI applications. The course breaks down complex technical jargon into accessible explanations, empowering you to navigate AI-related discussions, evaluate emerging tools, and gain a deeper understanding of how intelligent systems operate.
Whether you are a beginner exploring the field, a business professional working with AI-powered products, or a developer looking to strengthen your foundational knowledge, this course offers a practical introduction to the language and core ideas of modern AI. Throughout the course, you will learn how AI agents function, how models are trained and fine-tuned, and the intricacies of prompt engineering and context management. You will also explore how RAG and embeddings enable AI systems to interact with relevant information, distinguish between MCP (Model Context Protocol) and agent skills, identify risks such as hallucinations and prompt injection, and—moving beyond simple benchmark scores—understand the trade-offs involving model size, speed, cost, and local deployment. This path provides a deep, practical understanding of how these concepts are applied in real-world scenarios and prepares you for professional discussions regarding artificial intelligence.
What you will learn in AI Key Concepts & Terms – The Missing Guide:
- Explain the AI terminology you encounter every day, from machine learning and LLMs to tokens and context windows.
- Describe how AI agents work, including tools, agent loops and the software that connects everything.
- Make sense of model training and fine-tuning, including LoRA, synthetic data, RLHF and distillation.
- Explain how prompts, context engineering and memory shape AI responses, and why longer conversations can become less reliable.
- Connect grounding, RAG, embeddings and vector databases to understand how AI works with relevant information.
- and …
Course specifications
Publisher: Udemy
Instructors: Academind by Maximilian Schwarzmüller and Maximilian Schwarzmüller
Language: English
Level: Introductory to Advanced
Number of Lessons: 60
Duration: 1 hour and 55 minutes
Course topics
AI Key Concepts & Terms – The Missing Guide Prerequisites
Start from scratch: no prior AI knowledge, programming experience or advanced mathematics required.
All you need is curiosity and a device to watch the lessons. No paid AI subscription, API key or software installation required.
Pictures
AI Key Concepts & Terms – The Missing Guide introduction video
Installation guide
After Extract, watch with your favorite Player.
English subtitle
Quality: 1440p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
752 MB