AI Learning Path Generator: Your Personalized Roadmap to AI Mastery

With AI evolving so rapidly, figuring out what to learn — and in what order — can be overwhelming. This interactive AI Learning Path Generator helps you build a personalized learning roadmap based on your current skills, career goals, and available time.

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.difficulty-badge {
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career_developer: {
title: „AI Engineer Career Path“,
weeks: „12-16 weeks“,
modules: [
{ name: „Python for ML Foundations“, duration: „2 weeks“, resources: [„Fast.ai Practical Deep Learning“, „Kaggle Learn Python“] },
{ name: „Core ML Concepts“, duration: „3 weeks“, resources: [„Andrew Ng’s ML Specialization“, „Scikit-learn documentation“] },
{ name: „Deep Learning Fundamentals“, duration: „3 weeks“, resources: [„Fast.ai Part 1“, „PyTorch tutorials“] },
{ name: „LLM & Transformer Architecture“, duration: „3 weeks“, resources: [„HuggingFace course“, „Andrej Karpathy’s GPT from scratch“] },
{ name: „Building AI Applications“, duration: „3 weeks“, resources: [„LangChain tutorials“, „Full-stack LLM app projects“] },
{ name: „Portfolio Projects & Interview Prep“, duration: „3 weeks“, resources: [„Build 2-3 end-to-end projects“, „LeetCode ML patterns“] }
]
},
build_developer: {
title: „AI Product Builder Path“,
weeks: „8-12 weeks“,
modules: [
{ name: „LLM APIs & Prompt Engineering“, duration: „2 weeks“, resources: [„OpenAI docs“, „Prompt engineering guides“] },
{ name: „RAG & Vector Databases“, duration: „2 weeks“, resources: [„LangChain docs“, „Pinecone/Chroma tutorials“] },
{ name: „AI Agent Frameworks“, duration: „2 weeks“, resources: [„LangGraph, CrewAI, AutoGen tutorials“] },
{ name: „Fine-tuning & Custom Models“, duration: „2 weeks“, resources: [„HuggingFace TRL“, „OpenAI fine-tuning“] },
{ name: „Production Deployment“, duration: „2 weeks“, resources: [„vLLM, Docker, cloud deployment patterns“] },
{ name: „Build & Ship Your Product“, duration: „2 weeks“, resources: [„End-to-end product development“] }
]
},
research_developer: {
title: „AI Research Path“,
weeks: „16-24 weeks“,
modules: [
{ name: „Mathematical Foundations“, duration: „4 weeks“, resources: [„Linear algebra, probability, optimization (MIT OCW)“] },
{ name: „Deep Learning Theory“, duration: „4 weeks“, resources: [„Goodfellow’s Deep Learning book“, „CS231n“] },
{ name: „Research Paper Reading“, duration: „4 weeks“, resources: [„Papers With Attention survey“, „Read 50+ foundational papers“] },
{ name: „Reproduce Key Papers“, duration: „4 weeks“, resources: [„Implement attention, LLaMA architecture from scratch“] },
{ name: „Identify Research Question“, duration: „4 weeks“, resources: [„ArXiv reading, join research communities“] },
{ name: „Write & Submit“, duration: „4 weeks“, resources: [„Workshop paper, arXiv preprint, or contribution“] }
]
},
business_business: {
title: „AI Strategy for Business Leaders“,
weeks: „6-8 weeks“,
modules: [
{ name: „AI Landscape Overview“, duration: „1 week“, resources: [„AI Index Report 2026“, „McKinsey AI reports“] },
{ name: „Technical Literacy“, duration: „2 weeks“, resources: [„How LLMs work (non-technical)“, „AI capability audits“] },
{ name: „AI Use Case Identification“, duration: „2 weeks“, resources: [„Value chain analysis“, „ROI estimation frameworks“] },
{ name: „Implementation Strategy“, duration: „2 weeks“, resources: [„Build vs buy frameworks“, „AI governance basics“] },
{ name: „Organizational Readiness“, duration: „1 week“, resources: [„Change management“, „AI literacy programs for teams“] }
]
},
understand_other: {
title: „AI Literacy Essentials“,
weeks: „4-6 weeks“,
modules: [
{ name: „How AI Works“, duration: „1 week“, resources: [„3Blue1Brown neural networks series“, „What is ChatGPT doing?“] },
{ name: „AI Capabilities & Limitations“, duration: „1 week“, resources: [„AI Explained YouTube“, „Current capability benchmarks“] },
{ name: „AI in Daily Life“, duration: „1 week“, resources: [„Hands-on with AI tools“, „Experiment with ChatGPT, Claude, Midjourney“] },
{ name: „AI Society & Ethics“, duration: „1 week“, resources: [„AI ethics frameworks“, „Future of Life Institute resources“] },
{ name: „Staying Current“, duration: „1 week“, resources: [„Newsletter recommendations“, „Key AI communities and resources“] }
]
}
};

// Determine path key

// Fallback matching

if (goal === 'understand') key = 'understand_other';
else if (goal === 'business') key = 'business_business';
else if (goal === 'build') key = 'build_developer';
else if (goal === 'research') key = 'research_developer';
else key = 'career_developer';

}

html += ‚

‚;
html += ‚

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html += ‚

Your Personalized Modules:

‚;

path.modules.forEach((mod, i) => {


html += '

1. ‚ + mod.name + ‚
   ‚;
   html += ‚‚ + adjustedDuration + ‚
   ‚;
   html += ‚📚 ‚ + mod.resources.join(‚ | ‚) + ‚

‚;
});

html += ‚

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if (interests.length > 0) {

html += ‚

🎯 Focus Areas Based on Your Interests:

‚;
interests.forEach(interest => {


llm: ‚LLMs & Prompt Engineering — Add modules on transformer architectures, RAG systems, and conversational AI‘,
vision: ‚Computer Vision — Add modules on CNNs, diffusion models, and multimodal systems‘,
mlops: ‚MLOps — Add modules on model serving, monitoring, and CI/CD for ML‘,
agents: ‚AI Agents — Supplement with LangGraph, autoGen, and multi-agent system design‘,
data: ‚Data Engineering — Add modules on vector databases, data pipelines, and feature stores‘,
ethics: ‚AI Ethics — Add modules on fairness, interpretability, and AI governance frameworks‘
};
html += ‚

• ‚ + (labels[interest] || interest) + ‚

‚;
});
html += ‚

‚;
}

html += ‚