intellimetrics Learning
Beginner Track
intellimetrics Learning
Beginner Intermediate Developer

Complete Beginner Track

You're new to terminals, coding, and AI tools — that's perfectly fine. This track takes you through every lesson at full depth, with extra analogies and hands-on practice. By the end, you'll be orchestrating AI agents to build real projects.

Whether you're expanding your capabilities or protecting your relevance, this track gets you there. ~20 hours to complete

01

The AI Landscape

Full depth Start →
The AI Landscape Your First AI Conversation
02

You Are an Orchestrator

Full depth Start →
You Are an Orchestrator
03

Command Line Basics

Full depth Start →
What Is a Terminal? Opening Your Terminal Navigating the Filesystem Essential Commands Remote Environments & VS Code
04

Cheat Sheets

Reference Start →
Linux Commands Keyboard Shortcuts Vibe Coding Reference Monday Morning Wins Cloud Sandbox Cheat Sheet
05

Your First AI Tool

Full depth Start →
Browser Chat: Your AI Advisor When to Use What Your First Workflow Choosing Your Cloud Sandbox Your First Sandbox
06

CLI Tools Setup

Full depth Start →
Overview & Prerequisites Claude Code Gemini CLI → Antigravity CLI Codex CLI GitHub Copilot CLI
07

Git: Your Safety Net

Full depth Start →
Why Version Control? Git Workflow Saving Your Work GitHub: Your Cloud Backup
08

Understanding What AI Builds

Full depth Start →
What Is a Project? Folder Structure Reading AI Output
09

Let the LLM Set Things Up

Full depth Start →
Let the AI Set Things Up Project Templates
10

Planning & Orchestration

Full depth Start →
Think Before You Prompt Breaking Down Tasks Giving Good Instructions When Things Break: Debugging with AI
11

Ship It

Full depth Start →
Deploy Your Project Share and Collaborate Your First Week with AI at Work Staying Current
12

The Prompting Playbook

Reference Start →
How the Builders Prompt Give the Model a Role Show, Don't Tell Let the Model Think Structure and Format Ground the Answer Chain Your Prompts Test and Keep What Works
13

Agentic Engineering

Optional Start →
Beyond the Prompt Context Engineering MCP: Extending Your Agent Skills, Hooks & Custom Commands Subagents & Orchestration Headless Agents & CI Spec-Driven Development The Council Pattern Runbooks: Docs Agents Execute