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AI Universityby Securafy
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Beginner Path · Step 6 of 9

Build Your First AI Feature

Learn to call a model, design the prompt as your product, and ship a chatbot that stays on the rails.

Start Free — 14 Days Included with Pro — no per-course charge

What you’ll walk away with

  • Make your first working AI API call and understand where your key lives and why that matters
  • Design a prompt as the actual product feature, not an afterthought bolted onto your app
  • Build a chatbot that stays on the rails instead of wandering off-topic or off-brand
  • Ground AI answers in your own content using a gentle introduction to RAG (retrieval-augmented generation)
  • Reason about cost, key management, and hallucinations before you ship an AI feature to real users
  • Explain, in plain terms, what 'adding AI' to an app actually means under the hood
MVP Builder sample certificate

Where this leads

MVP Builder

You scoped, built, and shipped a real MVP with Claude Code — live on the internet for real people to use.

Questions people ask before they start

Do I need prior AI or machine learning experience?

No. The course starts with 'What Adding AI Actually Means' and walks you through your first API call before moving into prompt design and chatbot building — it assumes you can already build apps, not that you know AI.

Will I actually build something, or is this just theory?

You'll make a real AI call, write a working prompt as a feature, and build a chatbot that stays on-topic. The curriculum is hands-on through both modules, ending with grounding answers in your own content.

What does 'stays on the rails' mean for the chatbot lesson?

It means building guardrails so your chatbot answers what it's meant to answer instead of drifting into unrelated or unwanted responses — that's the specific focus of the 'Chatbot That Stays On the Rails' lesson.

Does this cover keeping API keys and costs under control?

Yes — the final lesson, 'Shipping AI Responsibly,' covers cost, key management, and hallucinations directly, since Securafy approaches AI features from a security-first perspective.

What is RAG and do I need to know it already?

RAG (retrieval-augmented generation) is a technique for grounding AI answers in your own content. The course introduces it gently in its own lesson, so no prior knowledge is required.

Is this course about building AI models from scratch?

No. It's about integrating existing models into apps you already know how to build — calling a model, crafting prompts, and shipping features responsibly, not training models.

Module 1: Talking to a Model

Quiz locked — finish every lesson in this module first (0/3 done)

Module 2: Real AI Features

Quiz locked — finish every lesson in this module first (0/3 done)