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The AI Engineer Path

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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
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
8 hours 12 minutes
video
Not included
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
Deployment
Open-source Models
Embeddings and Vector Databases
Agents
Model Context Protocol
Multimodality
OpenAI's Assistants API
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