AI 101:

Core Concepts, Ethics, and Technical Foundations


Start your AI journey with a complete foundation. This course takes you from the essentials - what AI is, how it works, and why it matters - through to technical mastery and real-world implementation. Learn AI fundamentals, ethics, and philosophy, then dive into LLM mechanics, model selection, MCP tool integration, and Anthropic's Fluency Framework. .

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25 

lessons

7

lesson modules 

 

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. 

Course Highlights 

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.

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MCP, 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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By the end of the course you will...


Master AI fundamentals and philosophy - understand what AI is, how it works, navigate ethical frameworks, and make responsible AI decisions with confidence

Decode the technical foundations - grasp how LLMs actually work through tokenization, embeddings, attention mechanisms, and decoding strategies that power modern AI

Implement real AI workflows - connect models to tools via MCP, select the right model for each job, and ship a reviewable 4-step prompting workflow ready for production use

Earn a United Nations 🇺🇳 certificate on Understanding Foundational Models, demonstrating your journey from AI concepts to practical implementation

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