Students
Foundation + portfolioBuild AI literacy, Python/data basics, and one visible project that proves you can learn tools faster than the curriculum changes.
Google ML Crash Course Kaggle Learn Hugging Face NLP or Agents
Career Field Guide
Learn AI without getting played.
A practical map of free, high-quality AI courses from major vendors, built for students and workers who want marketable skills instead of empty hype.
17
Official sources
6
Career paths
$0
Free-first catalog
Choose your signal
Start with the path an employer can understand
The best AI learning plan is not “take every course.” It is a sequence that turns into a project, a story, and a credible resume signal.
Career Changers
Workplace automationLearn prompt craft, spreadsheet/report automation, AI-assisted research, and the vocabulary employers expect in interviews.
OpenAI Academy Microsoft Learn DeepLearning.AI GenAI for Everyone
Analysts & Operators
AI-assisted workflowsTurn messy data, tickets, alerts, reports, and customer context into repeatable workflows with human review built in.
Databricks GenAI Fundamentals IBM SkillsBuild Google Cloud Skills Boost
Developers
Build with modelsMove past demos: learn retrieval, evals, tool use, agents, responsible deployment, and cloud platform tradeoffs.
OpenAI Cookbook Anthropic Prompt Engineering AWS Skill Builder
Managers & HR
Judgment + adoptionUnderstand what AI can automate, what still needs humans, and how to evaluate skills without falling for certificate theater.
IBM AI Fundamentals Salesforce Trailhead Microsoft Responsible AI modules
Cloud Professionals
Platform fluencyLearn the AI services employers actually buy: Azure AI, AWS Bedrock, Google Cloud AI, Databricks, NVIDIA, and enterprise copilots.
AWS Skill Builder Microsoft Learn Google Cloud Skills Boost
Major vendor catalog
Free and free-first AI learning resources worth your time
Reviewed September 19, 2026. This is intentionally vendor-heavy because employers recognize these ecosystems. Course content is generally free to access; certificates, labs, exams, accounts, cloud usage, or instructor-led variants may cost money.
OpenAI
OpenAI Academy: AI Foundations and learning paths
- Level
- Beginner to applied
- Market signal
- Shows hands-on literacy with modern generative AI workflows.
Students, workers, builders, and teams learning practical AI use cases.
Free learning hub. Some courses require a ChatGPT account; live events and course availability can vary.
Prompting Workflows Applied AI
OpenAI
OpenAI Cookbook
- Level
- Developer
- Market signal
- A portfolio-friendly way to prove you can build instead of only talk about AI.
People building apps, prototypes, evaluations, retrieval systems, and automation.
Examples are free; API usage may have separate costs.
Code Evals RAG
Anthropic
Prompt Engineering Overview
- Level
- Beginner to intermediate
- Market signal
- Helps distinguish casual prompting from repeatable prompt design.
Workers and developers who need reliable model instructions, examples, and evaluation habits.
Free official documentation; model/API access is separate.
Prompting Claude Reliability
Machine Learning Crash Course
- Level
- Foundation
- Market signal
- Gives vocabulary for features, labels, training, evaluation, and model behavior.
Students and early-career technologists who need ML concepts without hype.
Free Google Developers course.
ML Basics Data Evaluation
Google Cloud
Google Cloud Skills Boost: Generative AI
- Level
- Beginner
- Market signal
- Useful for resumes that mention Google Cloud, Vertex AI, or enterprise AI readiness.
Workers and cloud learners who want a structured path through generative AI concepts.
The catalog includes free and paid content; lab credits, badges, and availability can vary by account and region.
GenAI Cloud Vertex AI
Kaggle
Kaggle Learn
- Level
- Beginner to intermediate
- Market signal
- Practical proof of Python, pandas, ML, and data-cleaning fundamentals.
Students, analysts, and career changers who need quick hands-on notebooks.
Free micro-courses; certificates are lightweight but portfolio projects travel well.
Python Pandas ML
Microsoft
Microsoft Learn AI learning hub
- Level
- Beginner to advanced
- Market signal
- Strong fit for organizations standardized on Microsoft 365, Azure, and Foundry.
Workers, managers, and builders choosing an Azure, Copilot, or Microsoft Foundry path.
Microsoft Learn content is free; Azure usage and certification exams are separate costs.
Foundry Azure AI Enterprise
Microsoft
AI for Beginners
- Level
- Foundation
- Market signal
- Good public GitHub artifact for showing consistent AI study.
Students and self-taught learners who want a structured curriculum with code.
Free open curriculum from Microsoft.
Curriculum Python Concepts
Microsoft
Generative AI for Beginners
- Level
- Beginner to developer
- Market signal
- Maps well to junior developer, automation, and solution-builder interviews.
Builders who want structured lessons on LLM apps, prompt engineering, and retrieval.
Free open curriculum from Microsoft.
LLMs Apps RAG
AWS
AWS Skill Builder: Generative AI learning plans
- Level
- Beginner to platform
- Market signal
- Valuable where job descriptions mention AWS, Bedrock, SageMaker, or cloud architecture.
Cloud learners preparing for AI services, Bedrock, and enterprise deployments on AWS.
Many digital courses are free; hands-on labs, exams, and subscriptions can cost money.
AWS Bedrock Cloud
IBM
IBM SkillsBuild Artificial Intelligence Learning
- Level
- Beginner to workplace
- Market signal
- Strong career-readiness framing for resumes and workforce programs.
Students, job seekers, and workers who want AI literacy tied to employability.
Free learning platform; some credentials require account registration.
AI Literacy Careers Ethics
DeepLearning.AI
Generative AI for Everyone
- Level
- Executive / general
- Market signal
- Good starter credential narrative for explaining AI impact without overclaiming coding skill.
Nontechnical workers, managers, and students who need the big picture quickly.
Course access terms and certificate options can vary by platform.
Strategy Literacy Work
Hugging Face
Hugging Face Learn
- Level
- Developer to advanced
- Market signal
- Excellent for portfolios because notebooks, model cards, and demos are public by default.
Builders who want open-source NLP, agents, diffusion, evaluation, and model deployment skills.
Free learning hub; compute needs depend on the project.
Open Source Agents Models
NVIDIA
NVIDIA Deep Learning Institute
- Level
- Technical
- Market signal
- Useful where roles mention GPUs, inference, computer vision, CUDA, or AI infrastructure.
Developers, data scientists, and hardware-curious learners working near accelerated AI.
DLI offers hands-on training; course and certificate pricing varies, while selected learning resources are free.
GPU Deep Learning Inference
Databricks
Generative AI Fundamentals
- Level
- Beginner to enterprise
- Market signal
- Good for roles where AI is tied to data platforms, governance, and production analytics.
Analysts, data teams, and cloud practitioners working around lakehouses and enterprise data.
Free on-demand training; the optional accreditation badge has separate enrollment details.
Data Lakehouse Enterprise AI
Salesforce
Trailhead: Get Started with Artificial Intelligence
- Level
- Beginner to admin
- Market signal
- Clear value in business roles where AI is embedded in customer workflows.
CRM admins, sales ops, marketing ops, and workers in Salesforce-heavy organizations.
Trailhead learning and hands-on practice are free; Salesforce certification exams are separate.
CRM Business AI Admin
Meta
Llama Documentation and Recipes
- Level
- Developer
- Market signal
- Shows fluency with open-weight model ecosystems beyond closed SaaS tools.
Builders learning open model deployment, fine-tuning concepts, and local/open AI tradeoffs.
Docs are free; model license, hardware, and deployment costs must be evaluated separately.
Open Models Llama Deployment
Six-week plan
Turn free courses into evidence
Hiring managers rarely care that you watched a playlist. They care whether you can apply AI carefully, explain tradeoffs, and show a useful artifact. Use this sequence to convert learning into proof.
Week 1
Get fluent in the vocabulary
- Finish one AI literacy course
- Write a one-page AI glossary in your own words
- Explain hallucination, RAG, fine-tuning, evals, and agents without buzzwords
Weeks 2-3
Build one useful workflow
- Automate a report, research digest, spreadsheet cleanup, or customer-support summary
- Document where human review belongs
- Record before/after time savings honestly
Weeks 4-5
Add technical depth
- Take a cloud or developer path
- Build a tiny RAG or agent prototype
- Add eval cases so the demo is not just a lucky prompt
Week 6
Package it for employers
- Publish a README, screenshots, and lessons learned
- Translate the project into resume bullets
- Prepare one interview story about risk, privacy, or quality control
Portfolio projects
Build something that makes the skill visible
A personal AI research assistant that cites sources and flags uncertainty.
A job-market skill tracker that maps postings to courses and project evidence.
A customer-support summarizer with privacy redaction and human approval steps.
A spreadsheet analyst that explains formulas, anomalies, and assumptions.
A small RAG app over public policy, HR, security, or industry documents.
An AI risk checklist for a school, nonprofit, small business, or local team.
Course selection rule
A good AI course should survive five questions
- 01 Does it teach a durable concept, not only a product screen?
- 02 Does it include hands-on work you can show or explain?
- 03 Does it discuss limits, errors, privacy, safety, or evaluation?
- 04 Is the provider recognized in the job market you care about?
- 05 Can you turn it into a resume bullet without exaggerating?
Anti-hype note: certificates can help, but they are weaker than a small working project, a clear write-up, and a realistic explanation of failure modes.