Waynautic
Curated Developer Paths

Guided Learning Roadmaps

Choose a structured track tailored to your experience level, or switch anytime.

AActive Path

New to AI Development

Foundational sequence covering Python, Git, LLM principles, Prompt Engineering, Model APIs, and AI-powered IDEs.

6 Modules • 35 Lesson Units
B

Building Production AI Systems

Advanced track focused on local runtimes, MCP protocol, high-scale Vector Databases, and complex RAG pipelines.

4 Modules • 21 Lesson Units
Roadmap Completion
New to AI Development
0 of 36 Topics Mastered (0%)

Visual Roadmap Node Sequence for "New to AI Development"

Curriculum Learning Pathway (6 Modules)
1
Module 01
Beginner

Python

Master Python fundamentals, data structures, OOP, file handling, exception safety, and modern dev tools.

0 / 10 Topics0%
2
Module 02
Beginner

Git

Learn Git architecture, repository management, branching, merging, conflict resolution, and remote collaboration.

0 / 6 Topics0%
3
Module 03
Intermediate

Model Providers (OpenAI, Claude, Gemini)

Learn API setup, calling patterns, structured outputs, function calling, multimodality, and vendor abstraction.

0 / 5 Topics0%
4
Module 04
Intermediate

Prompt Engineering

Master prompt construction, advanced Chain-of-Thought techniques, provider nuances, and security safeguards.

0 / 5 Topics0%
5
Module 05
Intermediate

LLMs

Understand how Large Language Models process data, transformer architecture, inference parameters, and selection strategies.

0 / 5 Topics0%
6
Module 06
Intermediate

AI-Powered IDEs & Editors

Harness Cursor, Copilot, Antigravity, and Claude IDE for inline editing, context engineering, and automation.

0 / 5 Topics0%