Resources
Free tools, credits, and learning paths for students navigating AI. No upselling. No referral links. Just the useful stuff.
These aren’t theoretical recommendations — they’re the actual stack running this project.
What’s Running This Project
| Tool | What We Use It For | Cost |
|---|---|---|
| Claude Code | AI-assisted development — roadmaps, documentation, agent builds, site updates | Free tier / Claude.ai subscription |
| Claude.ai | Long-form writing, major document rebuilds, strategic thinking | Free tier available |
| GitHub Copilot | In-editor code completion and quick edits | Free via GitHub Student Developer Pack |
| Azure for Students | Cloud infrastructure — storage, app service, web hosting | $100/year, no credit card |
| GitHub Pages | Static site hosting for projectvigil.org | Free |
| GitHub Actions | Automation workflows, documentation agents | Free for public repos |
Tracked impact to date: 17 hours saved across 5 tasks. Estimated value at $75/hr consultant rate: $1,275. Methodology →
Build This
Projects you can build today using only free resources above. Each one produces a portfolio artifact.
| Project | What It Is | Resources Needed |
|---|---|---|
| AI Time-Savings Tracker | Log every AI-assisted task with time saved and estimated value. Build a dashboard. Quantify your own productivity gains over a semester. | Google Colab or GitHub + any spreadsheet |
| GitHub Documentation Agent | A script that reads your repo and auto-generates or updates a README, CHANGELOG, or wiki. Trigger it on push via GitHub Actions. | GitHub Actions + Claude API (free tier) |
| Personal Context File | A portable markdown file that tells any AI tool who you are, what you’re working on, and how you think. Every session starts smarter. | None — just a text editor |
| Governance Assessment Tool | A scored questionnaire that evaluates an AI system against a governance framework (NIST, EU AI Act). Output: risk tier + recommendation. | GitHub Pages + minimal JavaScript |
| Cost Savings Report Generator | Feed in a task log, get back a formatted report showing hours saved and dollar value. Useful for capstone documentation and employer conversations. | Python + Claude API or Google Colab |
| RAG Pipeline on Free Docs | Ingest a set of public documents (NIST RMF, EU AI Act) into a retrieval-augmented pipeline. Ask questions, get cited answers. | Hugging Face Spaces + free GPU |
Free Cloud Credits
| Program | What You Get | Notes |
|---|---|---|
| Azure for Students | $100/year | No credit card required. Renews annually while enrolled. |
| AWS Educate | Free labs + learning paths | No credit card. School email required. Good for hands-on AWS practice. |
| AWS Free Tier | 12 months of free-tier services | Create an AWS account. 12-month clock starts at signup. No commitment. |
| AWS Activate Founders | $1,000 in AWS credits | Requires a startup or LLC. Self-funded founders qualify. Apply early — 7–10 business days to approve. |
| Google Cloud Free Tier | $300 trial + always-free tier | Credit card required for trial, but not charged. 90-day clock starts at activation. |
| Google Cloud Vertex AI | $1,000 in Vertex AI credits | Available after the $300 trial. 1-year runway. Good for model hosting, embeddings, and agent experimentation. |
| GitHub Student Developer Pack | 100+ tools free | Includes GitHub Copilot, cloud credits, domain names, and more. Apply with a .edu email. |
Burn order: Azure first (expires soonest) → GCP $300 trial → AWS Free Tier + Activate → GCP $1K Vertex AI (longest runway).
If you have an LLC or startup: Apply for AWS Activate Founders immediately. $1,000 in credits with a 2-year window. Self-funded startups qualify. You need a company website and a brief description of what you’re building.
Free Learning
AI and Machine Learning
| Resource | What It Is | |—|—| | fast.ai | Practical deep learning. Top-down, code-first. One of the best free resources available. | | Hugging Face Course | NLP, transformers, diffusion models. Free and hands-on. | | Kaggle Learn | Short courses on ML, Python, SQL, AI. Free with a Kaggle account. | | DeepLearning.AI (audit) | Andrew Ng’s courses on Coursera. Audit for free. Pay only for the certificate. | | Google Machine Learning Crash Course | Free intro to ML concepts from Google. | | Papers With Code | Research papers with working code. Free, up to date. |
AI Governance and Ethics
| Resource | What It Is | |—|—| | NIST AI Risk Management Framework | The US government’s AI governance standard. Free PDF. | | EU AI Act (full text) | The law. Free to read. | | MIT AI Ethics course (OpenCourseWare) | Search “AI ethics” — free course materials. |
Cloud and Certification Prep
| Resource | What It Is | |—|—| | Microsoft Learn | Free learning paths for all Azure and Microsoft certs. Includes hands-on labs. | | AWS Skill Builder | Free tier includes many AWS courses and practice exams. | | A Cloud Guru (free tier) | Limited free access. Worth checking before paying. |
Free Compute
| Resource | What It Is |
|---|---|
| Google Colab | Free GPU/TPU notebooks in the browser. Good for ML experiments. |
| Kaggle Notebooks | Free GPU compute (30 hrs/week). Integrated with Kaggle datasets. |
| Hugging Face Spaces | Free hosting for ML demos. Good for showing work. |
Communities
| Community | Where |
|---|---|
| Hugging Face Discord | discord.com |
| fast.ai forums | forums.fast.ai |
| r/learnmachinelearning | reddit.com |
| r/MachineLearning | reddit.com |
Useful GitHub Repositories
| Repo | What It Is |
|---|---|
| microsoft/generative-ai-for-beginners | 21-lesson course on GenAI from Microsoft. Free. |
| mlabonne/llm-course | Roadmap and resources for getting into LLMs. |
| donnemartin/system-design-primer | System design fundamentals. Useful when building AI-integrated systems. |
Something missing? Open an issue and suggest it.