Ishan Anand – How AI & LLMs Work

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Many people use AI tools without understanding what happens beneath the interface.

How AI & LLMs Work is designed to demystify artificial intelligence by explaining how large language models actually function, learn, and generate outputs.

Instead of surface-level tutorials, the course focuses on conceptual clarity.

Foundations Before Applications

The course emphasizes:

• What language models are and are not
• How training data shapes behavior
• Why probabilities drive AI outputs
• The limits of model reasoning

This foundation-first approach anchors How AI & LLMs Work in accurate understanding.

Breaking Down Complex Systems Simply

AI often feels opaque. Ishan Anand – How AI & LLMs Work highlights:

• Core building blocks of modern AI systems
• How tokens, embeddings, and context windows interact
• Why models hallucinate
• How prompt structure influences results
• From Theory to Practical Mental Models

Understanding improves usage. It focuses on:

• Mental models for interacting with LLMs
• Predicting model behavior more reliably
• Avoiding common misconceptions
• Asking better questions of AI systems

These mental models increase the real-world usefulness of the program.

Separating Capability From Hype

AI hype distorts expectations. It reinforces:

• Real strengths of LLMs
• Structural limitations that remain
• When AI excels versus fails
• Responsible interpretation of outputs

This balanced perspective strengthens the credibility of the course.

• Useful Across Technical and Non-Technical Roles
• Product managers working with AI
• Engineers refining system design
• Marketers and strategists using AI tools
• Founders making AI-related decisions

This accessibility broadens the value of the course.