📚 Tutorials
Project-based learning that reinforces Evergreen concepts
🎯 What Are These?
Tutorials are tactical, hands-on builds that show you how to apply Evergreen concepts to real projects.
Unlike courses (which teach foundations), tutorials say:
"Here's how to build something cool with what you know."
Every tutorial:
- ✅ Links back to specific Evergreen lessons
- ✅ Uses Autonate Starters when helpful
- ✅ Includes AI-powered development workflows
- ✅ Results in a portfolio-worthy project
🔥 Featured Tutorials
Build a Trading Agent
Difficulty: ⭐⭐⭐⭐☆
Time: 3-4 hours
Apply EC402 concepts to build an agent that backtests trading strategies.
Concepts: Agent loops, memory, tool use
Vector DB from Scratch
Difficulty: ⭐⭐⭐⭐⭐
Time: 4-5 hours
Build a vector database from first principles. Deep dive into EC302.
Concepts: Indexing, similarity search, embeddings
File Tree Visualizer
Difficulty: ⭐⭐⭐☆☆
Time: 2-3 hours
Use recursion to visualize directory structures. EC201 in action.
Concepts: Recursion, tree traversal, DFS
📂 Browse by Category
🤖 AI & Agents
- Build a Trading Agent - Agent loops + backtesting
- RAG System from Scratch - Retrieval-augmented generation
- Multi-Agent Orchestration - Coordinating multiple AI agents
🗄️ Data & Systems
- Vector Database from Scratch - Build your own vector DB
- Real-time Data Pipeline - Stream processing basics
- Graph Database Queries - Neo4j patterns
🎨 Web & UX
- Interactive Dashboard - Streamlit + real-time data
- Glassmorphic UI Components - Modern CSS patterns
- API Rate Limiter - Backend patterns
🧮 Algorithms
- File Tree Visualizer - Recursion and trees
- Pathfinding Visualizer - Graph algorithms
- Backtracking Sudoku Solver - Search strategies
🎓 Browse by Evergreen Concept
EC101
- Basic programming patterns
- Function composition
- Data transformations
EC201
- File Tree Visualizer - Recursion
- Pathfinding Visualizer - Graph search
- Backtracking Sudoku Solver - Search trees
EC302
- Vector Database from Scratch - Indexing & retrieval
- Graph Database Queries - Relationship modeling
- Real-time Data Pipeline - Data flow
EC402
- Build a Trading Agent - Agent architecture
- RAG System from Scratch - Retrieval patterns
- Multi-Agent Orchestration - Agent coordination
📊 Browse by Difficulty
⭐⭐☆☆☆ Beginner
Great if you've completed EC101-EC102:
- [Coming Soon]
⭐⭐⭐☆☆ Intermediate
Assumes EC101-EC201:
⭐⭐⭐⭐☆ Advanced
Requires EC201-EC301 or EC402:
⭐⭐⭐⭐⭐ Expert
Deep technical dives:
🕐 Browse by Time
Quick Builds (1-2 hours)
- [Coming Soon]
Half-Day Projects (2-4 hours)
Full-Day Builds (4+ hours)
🔗 How Tutorials Connect
Evergreen Courses → Tutorials → Hackathon Lab
(Deep Foundation) (Skill Practice) (Live Application)
Learning Flow:
- Study the concept in an Evergreen course
- Practice it in a tutorial
- Apply it in a Hackathon Lab week
- Master it through repetition
💡 Tutorial Format
Every tutorial follows this structure:
- What You'll Build: Clear outcome
- Concepts Reinforced: Links to Evergreen courses
- Prerequisites: What you need to know
- Step-by-Step Guide: Detailed instructions
- AI-Powered Workflow: Where to use AI effectively
- Customization Ideas: How to extend it
- Portfolio Tips: How to showcase it
🚀 Getting Started
New to Autonate AI?
Start with the Evergreen Courses, then come back here.
Ready to build?
Pick a tutorial that matches your:
- Interest (AI, data, web, algorithms)
- Skill level (beginner → expert)
- Time available (1 hour → full day)
💬 Share Your Build
Completed a tutorial? Share it:
- Post in Community
- Tag #AutonateTutorial[Name]
- Get feedback and showcase your work