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.

20+

Official sources

6

Career paths

$0

Free-first catalog

Students and workers studying AI in a futuristic learning lab with translucent skill maps and code displays.

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.

Students

Foundation + portfolio

Build 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 Changers

Workplace automation

Learn 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 workflows

Turn 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 models

Move 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 + adoption

Understand 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 fluency

Learn 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

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

Official link
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; account requirements and event availability may vary.

Prompting Workflows Applied AI

OpenAI

OpenAI Cookbook

Official link
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

Official link
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

Google

Machine Learning Crash Course

Official link
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

Introduction to Generative AI Learning Path

Official link
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.

Skills Boost content availability and badges can change by region/account.

GenAI Cloud Vertex AI

Kaggle

Kaggle Learn

Official link
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

Get Started with Artificial Intelligence on Azure

Official link
Level
Beginner
Market signal
Strong fit for companies already standardized on Microsoft 365 and Azure.

Workers entering Azure AI, Copilot, and enterprise AI environments.

Microsoft Learn modules are free; certification exams are separate.

Azure AI Cloud Enterprise

Microsoft

AI for Beginners

Official link
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

Official link
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 Digital Training / Skill Builder

Official link
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; some labs, exams, and subscriptions may cost money.

AWS Bedrock Cloud

IBM

IBM SkillsBuild Artificial Intelligence Learning

Official link
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

Official link
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

Official link
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

Deep Learning Institute Courses

Official link
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.

NVIDIA lists free and paid DLI options; verify each course before enrolling.

GPU Deep Learning Inference

Databricks

Generative AI Fundamentals

Official link
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 training availability and accreditation requirements may change.

Data Lakehouse Enterprise AI

Salesforce

Trailhead AI Learning

Official link
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 is free; credential exams are separate.

CRM Business AI Admin

Meta

Llama Documentation and Recipes

Official link
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

SAP

SAP Learning: AI and Joule Topics

Official link
Level
Enterprise platform
Market signal
Useful for workers in large organizations where AI appears inside existing business suites.

Business systems, ERP, finance, supply chain, and enterprise operations professionals.

Search the official learning portal for current free AI and Joule learning journeys.

ERP Operations Enterprise

Oracle

Oracle MyLearn AI Training

Official link
Level
Enterprise platform
Market signal
Relevant when roles mention OCI AI, database AI, analytics, or Oracle applications.

Database, cloud, analytics, and enterprise app professionals in Oracle environments.

Free course and certification details change; verify the current MyLearn listing.

OCI Database Enterprise

Snowflake

Snowflake Learning and Cortex AI Topics

Official link
Level
Data platform
Market signal
Valuable for modern data-stack roles connecting analytics, governance, and generative AI.

Data analysts, engineers, and architects learning AI where governed enterprise data lives.

Course catalog changes frequently; verify free badges and current Cortex AI modules.

Data Cloud Cortex AI Analytics

Cisco

Cisco Networking Academy AI and Data Skills

Official link
Level
Foundation to IT
Market signal
Good bridge for technical support, networking, and security workers adapting to AI-enabled operations.

IT, networking, cybersecurity, and infrastructure learners adding data/AI context.

Course availability varies by region and academy program.

IT Security Data

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

  1. 01 Does it teach a durable concept, not only a product screen?
  2. 02 Does it include hands-on work you can show or explain?
  3. 03 Does it discuss limits, errors, privacy, safety, or evaluation?
  4. 04 Is the provider recognized in the job market you care about?
  5. 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.