AI 102: Understanding Foundational Models
Learn LLM fundamentals - tokenization, embeddings, attention, decoding - then pick models (open vs proprietary), run one locally when useful, and steer accuracy and style via decoding. Learn MCP to connect safe tool actions and a four-step prompt workflow that makes results consistent, reviewable, and ready for real projects.

7Â
video lessons
6
lesson modulesÂ
MEET YOUR INSTRUCTOR
Stephany Oliveros
Stephy is a Co-founder and CEO of SheAI as well as an experienced AI Product Manager. She is an expert on AI Digital Transformation and Behavioural Science, providing creative problem-solving frameworks for AI integration.Â
Course HighlightsÂ
NLP Foundations: How It Works
Understand what powers modern language models. Trace the path from statistical NLP to deep learning and transformers, building an intuitive picture of tokens, embeddings, attention, and decoding. See how today’s models turn text into predictions you can reason about so later choices (model, settings, prompts) make practical sense.
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Fluency Framework by Anthropic
Learn Anthropic’s four competencies - Delegation, Description, Discernment, Diligence - and turn them into daily habits. Decide when to use AI, how to brief it clearly, how to evaluate outputs, and how to work responsibly. Get checklists, prompt starters, and a quick self-audit so AI use is intentional, traceable, and teachable.
Start the courseMCP, Plain English: Connect Models to Real Tools
See how Model Context Protocol (MCP) actually works. Learn the “USB-C for AI” idea: one protocol that lets models discover tools, call them safely, and return results so AI moves from chat to real workflows. Map the loop, show Claude as an early adopter, and outline guardrails you can explain and defend.
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Girl Boss Monthly
€19.90
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Queen Bee Quarterly
€49.90
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⊙ 7-day trial period
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The Goddess Monthly
€179.90
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