Learn AI for free — and know what to understand first

Beginner → advanced progression across AI fundamentals, generative AI, agentic AI, tools, skills, and practical application. If you open RAG, JR resolves the dependency graph against what you already know. Learn prerequisites, mark known, skip with context, or continue when confident.

What you get now: free Academy access in the app, soft prerequisite guidance (never hard locks), and links into AI exposure scoring and career pathways when you want a personal plan.

Start Free AI Academy Or get your AI Exposure Score

Also part of the same system

Upskill & reskill hub (preserves existing SEO equity)
Scenario Builder — phased AI stacks
AI Economy — sourced company signals
Professional journeys — exposure → resilience → upskill
Student journeys — degree → career → skills

What is inside the free Academy (real catalog)

These are published topic titles from Job Resiliens’ AI Academy seed catalog — the same modules the in-app Academy uses. Soft prerequisite guidance applies; nothing here is a paid upsell wall.

Catalog ownership: Job Resiliens · 80 learning modules · Open in-app via Start Free AI Academy.

Foundations (basic) (20)

What is AI? — The plain-English starting point before any of the jargon.
Kinds of AI (Generative, Predictive, and More) — Generative AI, predictive AI, computer vision, and the other categories you'll hear about.
AI Terms You Should Know — Model, prompt, training data, hallucination — the vocabulary that shows up everywhere.
How AI Shows Up at Work Today — Where AI already sits inside everyday tools, often without being labeled "AI."
Python Basics & Syntax —
Python Advanced Data Structures —
…and 14 more in-app

Intermediate (30)

Asynchronous Programming (asyncio) —
C++ Core Fundamentals —
C++ Memory Management & Pointers —
Rust Basics & Borrow Checker —
Git Advanced Rebase & CI/CD Hooks —
Eigenvalues & Eigenvectors —
…and 24 more in-app

Advanced (23)

Rust Concurrency & Performance —
Distributed Data Processing (Apache Spark / PySpark) —
Recommendation Systems (Collaborative Filtering, Matrix Factorization) —
JAX & Functional Neural Networks —
Convolutional Neural Networks (CNNs) & ResNets —
Object Detection (YOLO, Faster R-CNN) —
…and 17 more in-app

Expert (7)

Graph Neural Networks (GNNs & PyG) —
Diffusion Models & Score-Based Generative AI —
Direct Preference Optimization (DPO) & RLHF —
Policy Gradients & Proximal Policy Optimization (PPO) —
GPU Accelerated Computing with CUDA & C++ —
Triton Compiler for Custom GPU Kernels —
…and 1 more in-app

How this connects to career resilience

Academy topics are useful alone. They become a plan when tied to your exposed tasks: personal score → role research on /ai-risk/ → skill gaps → Academy → proof via projects or matched jobs.

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