Your AI Learning Roadmap
Structured paths from zero to expert — tailored to your career. Follow the phases or jump to your profession below.
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Phase 1 — Foundations
Understand What AI Actually Is
Strip away the hype. AI (specifically large language models) predicts the next token based on patterns in training data. Once you grasp this, everything else makes sense. You'll stop being intimidated and start seeing opportunities everywhere in your work.
Andrej Karpathy — Intro to LLMs (YouTube)3Blue1Brown — Neural Networksfast.ai Practical Deep Learning
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Phase 2 — Prompt Mastery
Get AI to Do Exactly What You Want
Prompting is a skill, not luck. Learn chain-of-thought, role prompting, structured output (JSON), and few-shot examples. A well-crafted prompt can replace hours of manual work — across any profession, from law to medicine to finance to design.
OpenAI Prompt Engineering GuideAnthropic Claude DocsLearn Prompting (free course)
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Phase 3 — Tools in Practice
Use the Right AI Tools for Your Work
ChatGPT, Claude, Gemini, Perplexity, Midjourney, Copilot — knowing which tool to use for which task is its own skill. Learn the strengths of each. Apply them to your actual job: writing, research, analysis, design, code, customer communication.
YouTube tool walkthroughsProduct documentationDeepCamp AI Tools section
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Phase 4 — Automate & Build
Create Workflows That Run Themselves
Move from using AI manually to building systems that work for you. RAG lets you query your own documents. Agents execute multi-step tasks autonomously. No-code tools like n8n and Zapier let non-engineers build powerful automations in days.
LangChain Docsn8n CommunityZapier AI Automation
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Phase 5 — Stay Ahead
Follow the Frontier Without Getting Lost
AI moves fast — but you don't need to read every paper. Build a curated news diet: 2-3 newsletters, 1-2 YouTube channels in your field, and one community. 20 minutes a day keeps you ahead of 95% of professionals in your industry.
DeepCamp AI News (daily)The Rundown AIHugging Face BlogYour field's AI subreddit
Pick your profession — each roadmap maps AI skills directly to your day-to-day work.
Software Engineer
Ship AI-Powered Products
Embed AI into every layer of your stack — from Copilot in your IDE to full agentic pipelines that call APIs, query databases, and self-correct. The engineers who master this will build 10× faster than those who don't.
Key Skill: Building agentic pipelines where LLMs call tools, search databases, and execute multi-step tasks autonomously — without constant human input.
ML Fundamentals → understand how models work (attention, loss, backprop)Prompt Engineering → function calling, structured JSON output, tool useAI Agents → build with LangChain, LlamaIndex, or AutoGenRAG & Vector Search → embed your own codebase or docs for Q&AAI Coding → Cursor, Claude Code, GitHub Copilot, Codeium
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Finance / Accounting / CFO
AI-Powered Financial Intelligence
Automate reconciliations, query 200-page annual reports in plain English, build forecasting models, detect fraud patterns. AI gives finance professionals the analytical power of a full data science team.
Key Skill: Private RAG over financial documents — ask 'What was our YoY EBITDA change in APAC?' and get a sourced, auditable answer in seconds.
Prompt Engineering → structured financial output, ratio analysis, audit memosRAG & Vector Search → query annual reports, contracts, SEC filingsAI Tools & Apps → Excel Copilot, Notion AI, Runway, Puzzle.ioML Fundamentals → forecasting models (ARIMA, Prophet, LSTM basics)AI Safety & Ethics → bias in credit scoring, explainability in financial AI
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Trader / Investor (Stocks, Forex, Crypto)
Quantitative AI & Market Intelligence
From algorithmic trading strategies to AI-powered market analysis — learn how ML models read price action, sentiment, and on-chain data. No PhD required. From retail traders to portfolio managers.
Key Skill: Building a quantitative AI trading signal — combining price data, news sentiment, and technical indicators into an ML model that surfaces buy/sell signals.
ML Fundamentals → time-series analysis, technical indicator modellingAI Tools & Apps → TradingView AI, Bloomberg GPT, Perplexity for market researchPrompt Engineering → market analysis prompts, earnings call summarisationRAG & Vector Search → real-time news sentiment + on-chain data queryingResearch Papers → FinGPT, BloombergGPT, LLMs for financial forecasting
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Marketing / Growth / Content
10× Output With Generative AI
From ad copy to video scripts to SEO briefs — master the tools that let one person do the work of a full content team. Learn to prompt for brand voice, generate assets at scale, and measure AI-driven campaign ROI.
Key Skill: Multi-modal prompting: generating on-brand images, copy, video scripts, and ad creative from a single well-crafted brief — consistent, fast, scalable.
Prompt Engineering → brand voice prompts, copy frameworks (AIDA, PAS)Image & Video AI → Midjourney, Sora, RunwayML, Canva AIAI Tools & Apps → Jasper, Copy.ai, Surfer SEO AIAI Agents → automated content calendars, social schedulingAI Coding → n8n/Make automations for content pipelines
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Data Analyst / Data Scientist
AI-Accelerated Analytics
Use AI to write SQL in seconds, generate visualizations, interpret datasets, and build predictive models — without waiting on an ML team. Python skills become optional when you know how to prompt correctly.
Key Skill: RAG over private data — feeding your own spreadsheets, databases, and BI exports into an LLM to get accurate, sourced, audit-ready answers.
ML Fundamentals → statistics, loss functions, model evaluationPrompt Engineering → code generation, data interpretation, report writingRAG & Vector Search → private data Q&A (your own datasets)Research Papers → understand the models powering your BI toolsAI Coding → pandas-ai, LlamaIndex, Python + LLM integrations
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Sales / Business Development
AI-Augmented Revenue Generation
Hyper-personalized outreach at scale. Real-time objection handling. CRM enrichment that happens automatically. AI gives SDRs and AEs the research, context, and messaging speed to close more deals with less effort.
Key Skill: AI SDR assistant — a system that researches leads, pulls company news, drafts personalized first-touch emails, and suggests talking points automatically.
AI Tools & Apps → Apollo.io AI, HubSpot AI, Clay, GongPrompt Engineering → hyper-personalized outreach, objection scriptsAI Agents → automated lead research and CRM enrichmentLLMs → conversation intelligence, call transcription and summariesAI Coding → Zapier + AI for workflow automation
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Product Manager / Founder
AI-Driven Product Strategy
From user research synthesis to PRD writing to competitive intelligence — AI turns PMs into product strategy machines. Build internal tools that make your entire org faster without engineering tickets.
Key Skill: Agentic research — AI agents that automatically aggregate user reviews, support tickets, competitor releases, and market data into a weekly brief.
AI Tools & Apps → ChatGPT, Perplexity, Notion AI, Linear AIPrompt Engineering → PRDs, user stories, interview synthesisAI Agents → competitive monitoring, research automationML Fundamentals → understand model capabilities and limitationsLLMs → evaluating model quality for product use cases
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Legal Professional
AI for Contracts & Research
AI is cutting contract review time by 80%. Legal research that took days now takes minutes. Learn to use LLMs for due diligence, clause extraction, compliance monitoring — with citations and audit trails.
Key Skill: Private legal RAG — upload NDAs, contracts, case law, and regulations. Ask questions and get answers with direct paragraph citations.
RAG & Vector Search → private document retrieval with citationsPrompt Engineering → structured legal output, clause extractionAI Safety & Ethics → hallucination risks, liability in legal AIAI Tools & Apps → Harvey AI, Clio AI, contract review platformsML Fundamentals → model confidence, when to trust AI answers
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Healthcare / MedTech
Clinical AI & Diagnostics
AI is transforming clinical documentation, medical imaging, drug discovery, and patient communication. Understand where it helps, where it fails, and how to use it within regulatory frameworks.
Key Skill: LLMs for clinical documentation — convert voice memos into structured SOAP notes, discharge summaries, and referral letters while maintaining compliance.
Computer Vision → medical image analysis and segmentationML Fundamentals → how diagnostic models are trained and evaluatedAI Safety & Ethics → bias in clinical AI, HIPAA complianceLLMs → clinical note summarization, patient communicationResearch Papers → AlphaFold, medical foundation models (Med-PaLM)
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Teacher / Educator
Personalised AI Learning at Scale
Generate adaptive quizzes, build AI tutors trained on your own course material, provide instant feedback to every student, and identify learning gaps before they become failures.
Key Skill: Personalized AI tutor with RAG — feed your own course materials into an LLM so students get sourced, curriculum-aligned answers instantly.
Prompt Engineering → quiz generation, Socratic teaching promptsAI Tools & Apps → Khan Academy AI, NotebookLM, MagicSchool AIRAG & Vector Search → course material Q&A and knowledge baseAI Agents → automated grading, assignment feedback pipelinesAI Safety & Ethics → responsible AI use in education
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Designer / Creative / Architect
Generative Design & Creative AI
AI is the most powerful creative collaborator ever built. From architecture renders to fashion mood boards to brand identity — master the tools that make your ideas real in minutes, not days.
Key Skill: ControlNet + IP-Adapter for style-consistent generative design — turning rough sketches into photorealistic renders or pattern variations.
Image & Video AI → Stable Diffusion, Midjourney, DALL-E 3, IdeogramPrompt Engineering → visual prompting, style tokens, negative promptsAI Tools & Apps → Adobe Firefly, Figma AI, Canva AI, RunwayComputer Vision → inpainting, object detection for spatial AIML Fundamentals → how diffusion models work
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Cybersecurity Professional
AI-Powered Threat Defence
AI is both the attacker and the defender. LLMs generate phishing at scale. But they also detect anomalies, write incident reports, and automate response workflows faster than any human team.
Key Skill: SIEM augmentation with LLMs — pipe your security logs into an AI that instantly generates threat narratives, root-cause analysis, and remediation steps.
AI Safety & Ethics → adversarial AI, prompt injection attacksML Fundamentals → anomaly detection, classification fundamentalsLLMs → pen testing assistance, code vulnerability scanningRAG & Vector Search → threat intelligence knowledge baseAI Agents → automated incident response and reporting
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Real Estate Professional
AI Property Intelligence
Generate listing descriptions in seconds. Automate client follow-ups. Build AI-powered market research reports. Use predictive AI to identify undervalued properties before your competitors do.
Key Skill: AI market research assistant — queries live listings, news, pricing trends, and zoning data to generate investor-ready reports in minutes.
AI Tools & Apps → ChatGPT, Perplexity for market researchPrompt Engineering → listing copy, investment memos, client emailsAI Agents → CRM automation, follow-up sequencesML Fundamentals → understanding predictive pricing modelsAI Coding → Zapier + AI for no-code property automations
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HR / People Operations
AI-Powered Talent & Culture
AI is transforming every stage of the talent lifecycle — from JD writing to CV screening to performance reviews and employee engagement. Do more with less and give managers better people intelligence.
Key Skill: AI recruitment assistant — screens CVs against a structured rubric, drafts interview questions, and summarises candidate profiles before the first call.
Prompt Engineering → JD writing, interview question banks, policy docsAI Tools & Apps → HireVue, Workday AI, Paradox OliviaRAG & Vector Search → HR policy Q&A for employeesAI Agents → automated onboarding workflows, survey analysisAI Safety & Ethics → bias in hiring AI, GDPR compliance
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Operations / Supply Chain
AI-Driven Process Optimisation
AI is transforming logistics, demand forecasting, vendor management, and process documentation. From predictive maintenance to automated PO generation — operations teams that adopt AI cut costs and errors dramatically.
Key Skill: Demand forecasting with ML — using historical data and AI to predict inventory needs, reducing stockouts and overstock by up to 30%.
ML Fundamentals → time-series forecasting, regression basicsAI Tools & Apps → Microsoft Copilot for Ops, Palantir, C3.aiPrompt Engineering → process documentation, SOP generationAI Agents → automated vendor comms, anomaly alertsRAG & Vector Search → internal process knowledge base Q&A
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Your First 7-Day AI Sprint
This global sprint is designed for any professional — results in 7 days, no PhD required.
| Day | Action | Resource |
|---|---|---|
| Day 1 | Watch "Intro to Large Language Models" by Andrej Karpathy — the best 1-hour AI overview you'll find anywhere | Find it → |
| Day 2 | Sign up for ChatGPT or Claude. Do 10 prompts in the context of your actual job. Notice where it surprises you. | Direct practice |
| Day 3 | Read the "Prompt Engineering" guide at Learn Prompting (free). Learn chain-of-thought and role prompting. | Prompting videos → |
| Day 4 | Identify 1 task in your job that takes 2+ hours per week. Try to automate it with AI today. | Your work context |
| Day 5 | Subscribe to 2 AI newsletters relevant to your field. Browse DeepCamp AI News for your domain. | AI News → |
| Day 6 | Explore one AI tool in your specific field (Harvey for lawyers, Midjourney for designers, Copilot for devs, etc.) | AI Tools → |
| Day 7 | Write a 3-sentence LinkedIn post about the most useful thing AI did for you this week. Post it. | Your LinkedIn |
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