Video course · 5 chapters · 9 min · certificate
AI Simplified: 6 Concepts You Need to Know About Modern AI
IBM Technology explains six core modern AI concepts using a human-body analogy. The lessons cover the model brain, training, retrieval augmented generation, agents and tools, MCP orchestration, and the system prompt as ethics guardrails.
What you'll learn
- Define artificial intelligence as a subfield of computer science focused on matching or exceeding human intelligence.
- Explain how large language models act as the brain of modern AI systems.
- Describe model training and tuning as the process of teaching an LLM language, math, and history.
- Summarize how retrieval augmented generation extends AI knowledge with trusted external sources and reduces hallucinations.
- Identify how AI agents use tools autonomously to take actions toward goals.
- Explain how Model Context Protocol and system prompts orchestrate tools and enforce ethical guardrails.
Chapters
5 chapters · 8:49-
1:14
01Foundations Members
Introduction to AI concepts
Sets up a human-body analogy and defines artificial intelligence as a subfield of computer science.
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1:07
02Model Training Members
The brain and training
Explains large language models as the AI brain and model training as its schooling.
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1:20
03RAG Members
Retrieval augmented generation
Shows how RAG adds updated trusted knowledge to reduce hallucinations.
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1:04
04AI Agents Members
AI agents and tools
Adds hands and feet to the model so it can take actions autonomously.
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4:04
05MCP Ethics Members
Orchestration with MCP and guiding principles
Connects models to tools with MCP and adds system prompts as ethics guardrails.
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