AI

Progress from Python, NumPy, and Pandas data wrangling to PyTorch deep learning, Transformers, RAG vector pipelines, Model Context Protocol (MCP) agents, and fine-tuning.

16Levels

0Passed

Level 1Beginner

Python Basics for AI & Data Analysis

Document structure, tags, semantic elements, forms, links, images, and accessibility fundamentals.

PythonPyTorch

Level 2Beginner

SQL & Vector Databases Primer

Selectors, cascade, specificity, box model, Flexbox, Grid, and responsive design media queries.

PythonPyTorch

Level 3Beginner

Scientific Computing with NumPy & Matrix Operations

Variables, types, functions, arrays, objects, DOM manipulation, and event handling.

PythonPyTorch

Level 4Intermediate

Data Manipulation & Wrangling with Pandas

Event loop, promises, async/await, fetch API, handling HTTP errors, and JSON processing.

PythonPyTorch

Level 5Intermediate

Exploratory Data Analysis & Feature Engineering

Interfaces, types, generics, type narrowing, union types, and TS configuration.

PythonPyTorch

Level 6Intermediate

Classic Machine Learning with Scikit-Learn

JSX, props, state, component lifecycle, synthetic events, and controlled inputs.

PythonPyTorch

Level 7Intermediate

Neural Networks Core & Backpropagation

useEffect, useRef, useMemo, useCallback, custom hooks, and memory leak prevention.

PythonPyTorch

Level 8Intermediate

PyTorch Tensor Operations & Model Architectures

Prop drilling solutions, Context API, Redux Toolkit / Zustand, and persistent state.

PythonPyTorch

Level 9Intermediate

Computer Vision & Convolutional Neural Networks (CNNs)

React Router, URL params, nested layouts, protected routes, and lazy loading pages.

PythonPyTorch

Level 10Intermediate

Natural Language Processing & Recurrent Architectures

Tailwind utility workflow, custom theme config, CSS modules, design tokens, and CSS-in-JS.

PythonPyTorch

Level 11Advanced

Transformer Architecture & Self-Attention Mechanics

React Hook Form, Zod schemas, complex form state, field validation, and error feedback.

PythonPyTorch

Level 12Advanced

Large Language Models (LLMs) & Tokenization

TanStack Query (React Query), caching, optimistic updates, invalidation, and SWR.

PythonPyTorch

Level 13Advanced

Text Embeddings & Vector Search Algorithms (FAISS)

LCP, CLS, INP, bundle optimization, dynamic imports, image formats, and lighthouse profiling.

PythonPyTorch

Level 14Advanced

Retrieval-Augmented Generation (RAG) Pipelines

XSS, CSRF, CSP, CORS, SameSite cookies, JWT storage, localStorage, and IndexedDB.

PythonPyTorch

Level 15Expert

Autonomous AI Agents & Model Context Protocol (MCP)

Vitest, Jest, React Testing Library, Playwright E2E, mocking network calls, and coverage.

PythonPyTorch

Level 16Expert

Model Fine-Tuning, Quantization & Production AI Deployment

Module Federation, Next.js App Router SSR/SSG, ISR, Edge functions, and design systems at scale.

PythonPyTorch

AI

Progress from Python, NumPy, and Pandas data wrangling to PyTorch deep learning, Transformers, RAG vector pipelines, Model Context Protocol (MCP) agents, and fine-tuning.

16Levels

0Passed

Level 1Beginner

Python Basics for AI & Data Analysis

Document structure, tags, semantic elements, forms, links, images, and accessibility fundamentals.

PythonPyTorch

Level 2Beginner

SQL & Vector Databases Primer

Selectors, cascade, specificity, box model, Flexbox, Grid, and responsive design media queries.

PythonPyTorch

Level 3Beginner

Scientific Computing with NumPy & Matrix Operations

Variables, types, functions, arrays, objects, DOM manipulation, and event handling.

PythonPyTorch

Level 4Intermediate

Data Manipulation & Wrangling with Pandas

Event loop, promises, async/await, fetch API, handling HTTP errors, and JSON processing.

PythonPyTorch

Level 5Intermediate

Exploratory Data Analysis & Feature Engineering

Interfaces, types, generics, type narrowing, union types, and TS configuration.

PythonPyTorch

Level 6Intermediate

Classic Machine Learning with Scikit-Learn

JSX, props, state, component lifecycle, synthetic events, and controlled inputs.

PythonPyTorch

Level 7Intermediate

Neural Networks Core & Backpropagation

useEffect, useRef, useMemo, useCallback, custom hooks, and memory leak prevention.

PythonPyTorch

Level 8Intermediate

PyTorch Tensor Operations & Model Architectures

Prop drilling solutions, Context API, Redux Toolkit / Zustand, and persistent state.

PythonPyTorch

Level 9Intermediate

Computer Vision & Convolutional Neural Networks (CNNs)

React Router, URL params, nested layouts, protected routes, and lazy loading pages.

PythonPyTorch

Level 10Intermediate

Natural Language Processing & Recurrent Architectures

Tailwind utility workflow, custom theme config, CSS modules, design tokens, and CSS-in-JS.

PythonPyTorch

Level 11Advanced

Transformer Architecture & Self-Attention Mechanics

React Hook Form, Zod schemas, complex form state, field validation, and error feedback.

PythonPyTorch

Level 12Advanced

Large Language Models (LLMs) & Tokenization

TanStack Query (React Query), caching, optimistic updates, invalidation, and SWR.

PythonPyTorch

Level 13Advanced

Text Embeddings & Vector Search Algorithms (FAISS)

LCP, CLS, INP, bundle optimization, dynamic imports, image formats, and lighthouse profiling.

PythonPyTorch

Level 14Advanced

Retrieval-Augmented Generation (RAG) Pipelines

XSS, CSRF, CSP, CORS, SameSite cookies, JWT storage, localStorage, and IndexedDB.

PythonPyTorch

Level 15Expert

Autonomous AI Agents & Model Context Protocol (MCP)

Vitest, Jest, React Testing Library, Playwright E2E, mocking network calls, and coverage.

PythonPyTorch

Level 16Expert

Model Fine-Tuning, Quantization & Production AI Deployment

Module Federation, Next.js App Router SSR/SSG, ISR, Edge functions, and design systems at scale.

PythonPyTorch