AI beginners
You want a clear, connected understanding of modern AI without prior AI knowledge, programming experience, or advanced mathematics.
AI Key Concepts & Terms - The Missing Guide
Understand AI, LLMs, agents, tokens, RAG, MCP, and more through clear explanations, diagrams, and examples. No programming or prior AI knowledge required.
Course Overview
About This Course
LLMs, AI agents, tokens, RAG, MCP, context engineering—these terms appear everywhere. But what do they actually mean, why do they matter, and how do they connect?
This course gives you the foundation to make sense of modern artificial intelligence. Move beyond recognizing buzzwords and build a clear understanding of the models, tools, and systems behind today’s AI applications through straightforward explanations, diagrams, and concrete examples. Whether you are new to AI or already use tools like ChatGPT and Claude, you will see how the key concepts fit together.
A clear mental model helps you follow AI discussions, understand the tools you use, communicate with technical teams, and prepare for more specialized AI learning. Follow the full course to build a connected foundation, or return to individual lessons whenever you encounter an unfamiliar term.
What You'll Learn
You’ll connect the essential ideas behind models, responses, training, agents, knowledge systems, evaluation, and AI risks.
Understand AI & language models
See how AI, machine learning, neural networks, and language models connect, and learn how LLMs, smaller models, and multimodal models differ.
Understand training & efficiency
Learn what training, fine-tuning, LoRA, RLHF, and distillation do, and why model size, caching, quantization, and model routing matter.
Work with tokens, prompts & context
Explore tokens, context windows, and temperature, and see how prompt engineering and context engineering shape the answers a model produces.
Connect knowledge & memory
Connect grounding, RAG, embeddings, and vector databases to understand how models use information, and see how memory, compaction, and context rot affect results.
Learn how AI agents work
Follow the agent loop and see how models use tools to get work done. Understand harnesses, MCP, agent skills, computer use, and the role of human oversight.
Evaluate AI & recognize risks
Look beyond benchmark scores and understand evals. Recognize hallucinations, prompt injection, and data exposure risks, and explore open model weights and running models locally.
Ready to get started?
See enrollment optionsPrerequisites
No prior AI knowledge is required—just curiosity about modern AI concepts and terminology.
No programming experience or advanced mathematics is required.
No paid AI subscription, API key, or software installation is required.
Who Is This Course For?
ChatGPT, Claude & other AI tool users
You want to understand how the tools you already use work and why their results can vary.
Developers & technical professionals
You want to close knowledge gaps, connect AI concepts, and communicate more confidently about modern AI systems.
Curriculum Overview
Start NowPreview the structure and pacing of this course before you begin.
Ready to Get Started?
Choose the option that works best for you.
Single Course
AI Key Concepts & Terms - The Missing Guide
One Payment. Lifetime Access.
$69one-time
- One-time payment
- All future updates for this course
- Downloadable resources & code
- Certificate of completion
- Hands-on exercises & projects
- Self-paced learning
- English captions on all videos
- Lifetime access
Most Popular
All-Access Membership
Everything we teach. One subscription.
$25/mo
$4,729+ worth of courses
- Full access to all courses
- All future courses included
- Downloadable resources & code
- Certificates of completion
- Hands-on exercises & projects
- Self-paced learning
- English captions on all videos
- Cancel anytime