Read the brief
Who needs what, by when, and why it matters to the team.
Build AI engineering skills, from your first Python to agents.
Join the fictional Code Nexus team and practise Python, cloud and AI decisions. Read the brief, try the task and explain the checked result.
The Code Nexus product map
Eight products, one team, and you're on the rota.
Who needs what, by when, and why it matters to the team.
A key idea and a worked example from the teammate who uses it at work.
Use a Python workspace or a simulated terminal, Git workflow or cloud console. Check the supplied result.
Finish with a tested change, a decision record or an incident note you can defend.
Evidence in the real world
Outages, bad inputs and misleading metrics happen at every scale. Code Nexus lets you practise the same kinds of decisions where a mistake costs a retry, not a public incident report.
The Code Nexus team
Seven people and one AI assistant who will question your assumptions, read your evidence and ask what happens in production.

Senior AI Engineer · Your mentor
Calm, precise and quietly dry. Starts you on checklists, then takes them away. "It runs. Now show me what happens when the input is wrong."

Platform and DevOps Engineer
Linux, containers, pipelines and incident recovery. Writes his best runbooks right after something breaks. "It worked on my machine. I've updated the runbook to say why that wasn't enough."

ML and Data Engineer
Data quality, evaluation and responsible AI. Sceptical of any result that looks too good. "The accuracy improved. Which group did we leave out?"

Cloud Architect
Azure, AWS, architecture and resilience. Warm, and suspicious of unexplained spend. "Azure will provision it. Finance will ask whether we needed it."

Security Engineer
Identity, least privilege, secrets and incident control. Deadpan about boundaries. "Nobody will guess the URL is not an access control."

Product Manager
Requirements, priorities and stakeholders. Arrived asking "can we add AI?" and now brings constraints. "I brought a reason and a success measure this time."

Creator Partnerships Lead
The voice of Code Nexus's creators: user impact, accessibility and unusual tickets. "Nobody uses it that way? I have twelve screenshots."
Code Nexus Internal AI Assistant
A fictional internal AI assistant. Helpful, fast, and occasionally too sure of himself, which is why his work always comes with something you can verify.
8-BIT has an answer for everything. Checking it is your job.
The Code Nexus curriculum
You start by getting a laptop to log in. You finish by putting AI agents into production. Each season changes your role, your tools and who gets paged when it breaks.
Season 1
Your first days at Code Nexus: get your workstation working, read the evidence, and write your first Python.
The badge works. Let's see what else does.
Season 2
Turn one-off scripts into reliable tools: functions, data, classes and the habits that make code team-ready.
Nobody expects the IndentationError.
Season 3
Join the engineering team: Linux and the shell, Git and GitHub, and how work gets reviewed.
Your code has colleagues now.
Season 4
Capacity, cost and responsibility on Azure and AWS, and how to choose between them.
Scales to infinity and beyond. So does the invoice.
Season 5
What AI can and cannot do: machine learning basics, responsible use, and making a case with evidence.
"Can we add AI?" is the start of the meeting, not the end.
Season 6
Build a creator-support assistant with retrieval, tools, evaluation and the safety controls to defend it.
Confidence is not a source.
Season 7
Ship it: package the service in Docker, run it on Kubernetes, and keep it healthy under load.
Kabelo has heard this one before.
Season 8
Own delivery end to end: pipelines, review, rollout and a capstone you can show an employer.
The deploy button is not the ending.
Season 9
Build, evaluate, and harden autonomous multi-agent systems: loop architectures, Model Context Protocol (MCP), and production guardrails.
The agents have a plan. Check it.
Your learning route
Start with no coding experience. The 9 seasons build practical skills mapped to 11 external exams, from your first line of Python to building and evaluating AI agents.
Stage 1 · E01–E10
Get the workstation working, write your first Python and prepare for PCEP. Book the external exam when you are ready.
PCEP
Stage 2 · E11–E24
Turn scripts into tools, live in the shell and collaborate through pull requests.
PCAPLinux EssentialsGH-900
Stage 3 · E25–E32
Capacity, cost and shared responsibility on Azure and AWS, with evidence for choosing.
AZ-900AWS Cloud Practitioner
Stage 4 · E33–E48
From machine learning basics to a retrieval-backed assistant with tools, tests and guardrails.
AI-901AWS AI PractitionerAI-103
Stage 5 · E49–E56
Package it in Docker, run it on Kubernetes and keep it healthy under load.
KCNA
Stage 6 · E57–E70
Own the release, finish the capstone and practise autonomous agent systems.
AZ-400
Exams are booked and sat with each provider, which issues the certification.
Start Season 1Practise skills mapped to 11 external certification exams, from PCEP to AZ-400. Season checkpoints show what needs more work. Book each exam with its provider, which issues the certification.
How we map certification objectivesPCEP-30-02
PCAP-31-03
010-160
GH-900
AZ-900
CLF-C02
AI-901
AIF-C01
AI-103
KCNA
AZ-400
8-BIT lives in the story and is confident about most things. For a real question, a Code Nexus mentor reads your note, replies privately and helps you find your next step.
Tell a mentor which episode has you stuck, then keep the conversation going by message.
Both paid plans include four 30-minute mentor calls each month, subject to availability.

A record of your work
Anyone can click "next" forty times. Code Nexus records the decisions, fixes, reviews and handovers you actually made as the story gets harder.
Complete a verified action: a technical decision, a code change, an incident response, or a structured handover.
Teammates, products and your earlier decisions come back. Some of them come back with questions.
Readiness checks appear inside the seasons where their subject is taught—so the milestone follows the work, not a detached syllabus.
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