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AI Fundamentals Short Course

Understand how AI and machine learning work. Master ai fundamentals through bite-sized, swipeable learning tiles — designed for busy people who want to learn on the go.

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About This AI Fundamentals Course

This AI Fundamentals short course on SkillTiles breaks down everything you need to know into 10 structured milestones, each packed with bite-sized learning tiles you can swipe through in under 15 seconds each.

Whether you're a complete beginner or looking to refresh your knowledge, this online ai fundamentals course uses AI-powered content to adapt to your learning pace. Each tile delivers a focused concept, example, or quiz — making it perfect for commutes, coffee breaks, or quick study sessions.

Covering 70 key topics across 10 milestones, this course takes you from foundations to practical application. Earn badges as you complete each milestone and track your progress on your learning dashboard.

Course Curriculum

1

What is AI?

Core concepts, history, and types of AI

what is artificial intelligencenarrow AI vs general AImachine learning basicssupervised vs unsupervised learningneural networks simplifiedtraining dataAI in everyday life
2

Large Language Models

GPT, Claude, and how chatbots work

what are LLMstokens and tokenizationhow transformers work (simplified)training vs fine-tuningprompt engineering basicshallucinations and limitationsethical considerations
3

AI Models & Training

How models learn from data

training vs inferencedatasets and labelsloss functionsgradient descent simplifiedepochs and batcheshyperparametersmodel evaluation metrics
4

AI Ethics & Bias

Responsible AI development

algorithmic biasfairness in AIdata privacyexplainable AIdeepfakes and misuseAI regulationresponsible AI frameworks
5

AI in Practice

Real-world AI applications

AI in healthcareAI in financerecommendation systemsautonomous vehicles overviewAI-powered searchgenerative AI landscapebuilding AI products
6

Generative AI

LLMs, diffusion models, and content creation

how LLMs workdiffusion models for imagestext-to-speech and voice cloningvideo generation overviewfine-tuning vs promptingRAG (retrieval-augmented generation)AI agents and tool use
7

History of AI

From Turing to transformers

Turing test and early AIAI wintersexpert systems eradeep learning breakthroughImageNet momentattention mechanism and transformersChatGPT and the AI boom
8

AI Careers

Build a career in artificial intelligence

AI/ML job rolesrequired skills and educationbuilding an AI portfolioKaggle competitionsopen-source contributionsresearch vs industrystaying current in AI
9

AI Tools & Platforms

Navigate the AI tool ecosystem

OpenAI APIHugging Face ecosystemGoogle AI toolsvector databasesMLOps platformsno-code AI toolsevaluating AI services
10

AI Safety & Alignment

Ensuring AI benefits humanity

alignment problemreward hackinggoal misspecificationRLHF explainedAI governanceexistential risk debatescurrent safety research

What You'll Learn in This AI Fundamentals Course

what is artificial intelligence
narrow AI vs general AI
machine learning basics
supervised vs unsupervised learning
neural networks simplified
training data
AI in everyday life
what are LLMs
tokens and tokenization
how transformers work (simplified)
training vs fine-tuning
prompt engineering basics
hallucinations and limitations
ethical considerations

Ready to master AI Fundamentals?

Start this free ai fundamentals short course today. Swipe through AI-powered tiles, earn badges, and build a daily learning habit — no experience needed.

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