Rask Ultra AI Builders Course

Give the learner an accurate working model of AI before asking them to use or build with it.

You’ll learn: After this lesson, the learner should be able to explain the difference between AI, machine learning, generative AI, a large language model, a chatbot, an automation and an agent.

1. AI without the jargonLesson · 10 min

Show learners how instructions, context, tools and review turn a general model into useful work.

You’ll learn: After this lesson, the learner should be able to structure a strong instruction, distinguish context from memory and recognise when a task needs a source or tool rather than a more elaborate prompt.

1. How AI produces useful workLesson · 12 min

Move learners from occasional novelty use to repeatable, reviewable work.

You’ll learn: After this lesson, the learner should be able to choose an appropriate AI working pattern, improve a draft through focused iteration and create a small library of useful instructions.

1. Using AI productivelyLesson · 12 min

Help learners choose a useful first project before they become distracted by tools.

You’ll learn: After this lesson, the learner should be able to map a workflow, distinguish assistance from automation and agency, and rank possible projects by value, feasibility and risk.

1. Finding something worth improvingLesson · 12 min

Establish practical privacy, accuracy, security and accountability habits before learners connect tools or publish projects.

You’ll learn: After this lesson, the learner should be able to classify information before sharing it, choose proportional review controls and create a basic safe-use policy for a personal project or organisation.

1. Using AI safelyLesson · 15 min

Give learners a durable mental model of how websites, web apps and connected services fit together.

You’ll learn: After this lesson, the learner should be able to describe the roles of a frontend, backend, database, API, cloud host, domain, DNS, authentication and secrets, and decide whether an idea needs a website or web app.

1. The builder’s mapLesson · 12 min

Remove the mystery from the tools a coding agent uses and establish a safe way to supervise changes.

You’ll learn: After this lesson, the learner should be able to explain how the terminal, local files, Git and GitHub relate, and give a coding agent a bounded brief with appropriate checks.

1. Terminal, Git and AI coding toolsLesson · 15 min

Give learners a visible, achievable first build and explain how local files become a live site.

You’ll learn: After this lesson, the learner should be able to brief a one-page website, review it locally, publish it through a Git-connected Cloudflare project and explain how to connect a domain.

1. Optional project: publish a website with CloudflareLesson · 15 min

Explain the additional responsibilities of an application and provide a controlled path to a basic Cloud Run deployment.

You’ll learn: After this lesson, the learner should be able to define a small web-app prototype, explain the purpose of Cloud Run and related Google Cloud services, brief a coding agent and deploy or observe a source deployment with appropriate cost and security controls.

1. Optional advanced project: deploy a web app with Google CloudLesson · 15 min

Bring the course together by designing a bounded agent that performs a useful task and remains observable, reviewable and controlled.

You’ll learn: After this lesson, the learner should be able to distinguish an agent from a fixed automation, write an agent job description, select limited tools and permissions, define approval points and test the agent before expanding its autonomy.

1. Build an agent that does somethingLesson · 15 min