Don't memorize AI. Decode it.
DecodeAI
Learn AI from first principles. Master ML. Crack interviews with confidence.
Structured courses, deep conceptual explanations, quizzes, and a curated interview question bank — so you understand the why, not just the what.
Learn → Practice → Interview
One platform for fundamentals, quizzes, and interview readiness.
- First-principles theory
- Courses & learning paths
- Scored topic quizzes
- 1439 interview questions
- Cheatsheets & certificates
Philosophy
Don't just learn AI. Understand it.
Concept → Intuition → Mathematics → Algorithm → Implementation → Real-world application → Interview. Every DecodeAI resource is designed to answer what, why, and how — then how you'd explain it in an interview.
What?
Define the concept clearly.
Why?
Know the problem it solves.
How?
Build the mental + math model.
Interview?
Practice explaining it.
Learning paths
Know what to learn next
AI/ML Foundations
Mathematics → Statistics → ML Fundamentals → Model Evaluation
Deep Learning
Neural nets → Optimization → CNNs → Sequence models → Transformers
Generative AI
NLP → Transformers → LLMs → RAG → Fine-tuning → Evaluation
AI/ML Interview Prep
Role paths for DS, MLE, MLOps, GenAI, Applied Science → Question Bank + quizzes
Courses
Popular programs
Deep Learning
Topic course
Attention & Transformers
Topic course on self-attention, multi-head attention, positional encodings, and why transformers scaled.
2 topics · 1 Pro
6 hours · certificate included
$59
or included in Pro
LLMs
Topic course
RAG Systems — Topic Course
Retrieval-augmented generation: chunking, embeddings, vector search, grounding, and evaluation.
2 topics · 1 Pro
7 hours · certificate included
$79
or included in Pro
Machine Learning
Learning track
Machine Learning Foundations
A structured track from supervised learning basics to model evaluation — built for engineers entering applied ML.
3 topics · 1 Pro
18 hours · certificate included
$149
or included in Pro
Topic courses
Fill one gap fast — Attention, RAG, Gradient Descent, MLOps.
Learning tracks
Multi-topic paths for foundations in ML, DL, and NLP.
Specializations
LLM Engineering, Computer Vision, ML System Design.
Interview Prep
Your one-stop hub for AI/ML interviews
Six role paths, 1439 Question Bank items across 26 topics, scored quizzes, and a bookmark revision loop — start from Interview Prep, not scattered tabs.
Knowledge Hub
From the ML desk
Aug 2, 2026
What “good” looks like in an LLM feature eval
Stop demoing vibes. Ship with golden sets, traces, and cost budgets.
Aug 2, 2026
Topic courses vs learning tracks: which should you buy?
Use topic courses to fill gaps; use tracks when you need a coherent path.
Aug 2, 2026
How to study ML without drowning in papers
A curriculum-first approach: projects, spaced quizzes, and selective paper reading.
Start your AI journey
Learn → Practice → Assess → Master
Enter with a question like “I don’t understand Transformers.” Leave with the concept understood, practiced, and interview-ready.