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The AI Engineer Path

Per Borgen
Per Borgen
Scrimba
Scrimba
Recommended

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Build apps powered by generative AI - an essential 2025 skill for product teams at startups, agencies, and large corporations. As the tech industry embraces AI like never before, the demand for AI engineers is skyrocketing. Companies are actively seeking developers who can bridge the gap between traditional programming and AI capabilities. This path transforms you from a developer into an AI engineer through hands-on projects. You'll build real-world applications like AI chatbots, content generators, and intelligent search systems while learning the core concepts that power modern AI applications. Through interactive challenges and real-world projects, you'll master prompt engineering, work with embeddings and vector databases, deploy AI models, and integrate cutting-edge tools like OpenAI's APIs and the Model Context Protocol. The curriculum covers everything from basic AI concepts to advanced topics like agents and multimodality. By the end of this comprehensive 8.2-hour course, you'll have the practical skills and portfolio projects needed to confidently build AI-powered applications and advance your career in this rapidly growing field.

Instructor

Per Borgen

Per Borgen

Developer, teacher, and co-founder of Scrimba. I love teaching people how to code and helping them break into the tech industry. Based in Oslo, Norway.

Course details

Duration

8 hours 12 minutes

Format

video

Certificate

Not included

Pricing

Subscription

What you'll learn

Build production-ready generative AI applications

Master prompt engineering for optimal AI responses

Work with embeddings and vector databases

Deploy and integrate open-source AI models

Prerequisites

Basic JavaScript knowledge

Understanding of web development concepts

Familiarity with APIs and async programming

No prior AI or machine learning experience required

Who this course is for

Web developers wanting to add AI capabilities to their applications

Software engineers transitioning into AI engineering

Product teams at startups, agencies, and corporations

Developers seeking to build generative AI-powered apps

Curriculum

Intro to AI Engineering

104 min

Deployment

50 min

Open-source Models

33 min

Embeddings and Vector Databases

94 min

Agents

117 min

Model Context Protocol

37 min

Multimodality

62 min

OpenAI's Assistants API

0
30 min

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