Know what to learn, and in what order.

The path

1. 1Your first language
2. 2Command line and Git
3. 3How computers run your code

+ 3 more

The path

1. 1Complexity and Big-O
2. 2Arrays, hashing, linked lists, stacks and queues
3. Recursion, sorting and searching

+ 5 more

The path

1. 1Learn beyond the syllabus
2. 2Git and GitHub as your portfolio
3. Problem solving, a little every week

+ 5 more

The path

1. 1How a computer runs a program
2. 2Object-oriented programming and design
3. Operating systems

+ 5 more

The path

1. 1Relational thinking and your setup
2. 2Querying one table
3. Joins and set operations

+ 6 more

The path

1. 1Documents and your setup
2. 2Reading and writing documents
3. Arrays and nested documents

+ 5 more

The path

1. 1What AI coding tools are good and bad at
2. 2Setup and project context
3. 3Prompting for code: small tasks, clear specs

+ 7 more

The path

1. 1Object-oriented programming properly
2. 2SOLID with before and after code
3. Clean code: naming, functions and errors

+ 7 more

The path

1. 1C++ for contests
2. 2Maths basics
3. Greedy and sorting

+ 7 more

The path

1. 1Set up your machine
2. 2Shell basics
3. 3Text tools

+ 5 more

The path

1. 1How the web works, HTML and CSS
2. 2JavaScript and the browser
3. Git, npm and build tooling

+ 4 more

The path

1. 1Your language and how HTTP works
2. 2Relational databases and SQL
3. Designing and building APIs

+ 4 more

The path

1. 1Web foundations: HTML, CSS and JavaScript
2. 2Git, npm and React
3. The server side of Next.js

+ 4 more

The path

1. 1Dart fundamentals
2. 2Widgets and layout
3. State management and navigation

+ 4 more

The path

1. 1Web basics for site builders
2. 2WordPress: hosting, blocks and themes
3. WordPress development: PHP, hooks and blocks

+ 5 more

The path

1. 1How product design works
2. 2Visual design fundamentals
3. Figma in depth

+ 5 more

The path

1. 1How games are made
2. 2Programming for games
3. The engine in depth

+ 5 more

The path

1. 1C for embedded
2. 2Electronics you need
3. Microcontroller basics

+ 7 more

The path

1. 1C# and the .NET platform
2. 2C# for real work: LINQ, collections, generics and async
3. ASP.NET Core basics

+ 7 more

The path

1. 1Start from the data, not the product
2. 2Relational databases: the sensible default
3. Document databases: MongoDB and Firestore

+ 6 more

The path

1. 1Start from the task, not the model
2. 2Reasoning quality: when a bigger model pays off
3. Speed and cost per task

+ 6 more

The path

1. 1How LLMs work: tokens and context
2. 2Prompting and model APIs
3. RAG: embeddings, chunking and retrieval

+ 5 more

The path

1. 1Python for data
2. 2The maths you need
3. Data cleaning and feature engineering

+ 4 more

The path

1. 1Core concepts and building blocks
2. 2Data storage, partitioning and replication
3. Networking, APIs and messaging

+ 4 more

The path

1. 1Linux, the shell and scripting
2. 2Networking for engineers
3. Containers with Docker

+ 4 more

The path

1. 1Security foundations
2. 2A safe home lab
3. Logs and telemetry

+ 5 more

The path

1. 1How analysts think
2. 2Spreadsheets properly
3. SQL for analysis

+ 5 more

The path

1. 1Testing fundamentals
2. 2Manual testing done well
3. Web and API basics for testers

+ 5 more

The path

1. 1What data engineers do
2. 2Analytical SQL and data modelling
3. File formats, lakes and Spark

+ 5 more

The path

1. 1Python for data: NumPy and pandas
2. 2Statistics and probability you actually use
3. SQL for data work

+ 7 more

The path

1. 1How agents work
2. 2Tool calling from scratch
3. Structured output and validation

+ 7 more

The path

1. 1From notebook to package
2. 2Data and model versioning
3. Experiment tracking and the model registry

+ 7 more

The path

1. 1Linux and networking you need for cloud
2. 2Cloud concepts and billing
3. Identity and access

+ 7 more

The path

1. 1Reliability basics: SLIs, SLOs and error budgets
2. 2Observability: metrics, logs and traces
3. Incident response and postmortems

+ 7 more

The path

1. 1How networks work and subnetting
2. 2Switching and VLANs
3. Routing: static, OSPF and BGP

+ 7 more

The path

1. 1Security foundations for AI builders
2. 2How LLM apps and agents work, and where they break
3. Risk maps: the OWASP lists and MITRE ATLAS

+ 6 more

The path

1. 1Why AI governance, and the rules
2. 2AI inventory: know what you run
3. Data foundation

+ 5 more

The path

1. 1How cloud billing works
2. 2Reading the bill and tagging
3. Visibility and allocation: showback, chargeback and unit costs

+ 6 more

The path

1. 1Know your target
2. 2Your resume
3. Proof of work

+ 4 more

The path

1. 1Your niche and story
2. 2Your profile as a landing page
3. Write posts people read

+ 3 more

The path

1. 1How open source works
2. 2Git and GitHub for contributors
3. Your first merged pull request

+ 3 more

The path

1. 1Seniority as scope, with a clear bar
2. 2Ownership and leverage
3. Own the design: write to decide

+ 3 more

The path

1. 1Owning architecture across teams
2. 2Leading projects and incidents
3. Communication and influence across the organisation

+ 2 more

The path

1. 1Before day one
2. 2The first two weeks
3. 3Working with your team

+ 5 more

The path

1. 1Decide whether, why and what
2. 2Your 12 to 18 month plan
3. 3Choose programmes and supervisors

+ 5 more

The path

1. 1An honest reality check
2. 2A target role that fits your background
3. 3Money, risk and the people around you

+ 5 more

The path

1. 1The landscape of non-coding tech roles
2. 2Technical literacy
3. Discovery, prioritisation and specs

+ 4 more

The path

1. 1What AI is really doing to tech jobs
2. 2Read the signals and your own exposure
3. 3Be hard to cut at work

+ 4 more

The path

1. 1The roles compared
2. 2Core engineering you still need
3. Discovery and the customer's problem

+ 7 more

The path

1. 1Decide if, and where
2. 2Visas and work permits
3. 3Degrees, attestation and documents

+ 4 more

The path

1. 1A service you can sell
2. 2Proof without reviews
3. 3Your storefront

+ 5 more

The path

1. 1Are you ready for remote?
2. 2What "remote" really means in a listing
3. Where to look

+ 5 more

The path

1. 1How automation works
2. 2n8n in depth
3. Shaping data and logic

+ 5 more

The path

1. 1Find a problem worth solving
2. 2Validate before you build
3. Build a small first version

+ 5 more

The path

1. 1What AI data work is and why it exists
2. 2The honest picture
3. Core annotation skills

+ 3 more

The path

1. 1What clients actually buy
2. 2Video fundamentals AI does not replace
3. The AI video tool stack

+ 5 more