#110 AI Engineering with Scrimba CEO & Engineer Per Borgen
Feb 9, 2024
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Quincy Larson interviews Per Borgen, CEO of Scrimba, discussing AI engineering, cutting out news for productivity, transitioning from economics to software development, and incorporating AI into daily workflows.
AI engineering offers exciting career opportunities by leveraging AI capabilities in various applications.
Gaining a solid understanding of AI concepts and technologies can position you as a valuable asset in the AI industry.
Deep dives
AI Engineering: A Career Opportunity in Tech
AI engineering presents a promising career opportunity for developers and tech enthusiasts. With the rise of AI technology, many companies are looking to leverage AI in their products. This creates a demand for AI engineers who can incorporate AI capabilities into various applications. AI engineering involves working with foundation models to create next-generation experiences. By utilizing AI APIs, engineers can build apps that utilize language, voice, and image recognition. AI engineers are able to leverage AI technology to solve unique business problems and create innovative solutions. With the increasing influence of AI in various industries, becoming an AI engineer can provide career growth and exciting opportunities.
Why Become an AI Engineer?
Becoming an AI engineer offers several advantages and opportunities. From an economic standpoint, businesses are looking to stay competitive in the evolving AI landscape, and AI engineers can help them achieve that. As an AI engineer, you can become an indispensable asset to companies seeking to implement AI solutions. By having a strong understanding of AI and its potential applications, you can pitch unique AI-driven products or features to your dream companies. This can open doors and provide an edge in a competitive job market. AI engineering also offers the chance to work on cutting-edge technologies and be at the forefront of innovation.
Getting Started with AI Engineering
To break into AI engineering, start by gaining a solid understanding of AI concepts and technologies. There are various resources available, such as courses and tutorials, that can help you learn the fundamentals of AI engineering. Scrimba's AI engineering path is one such resource that provides a structured learning path for aspiring AI engineers. Once you have a good grasp of the basics, consider working on projects that showcase your AI skills. A powerful strategy is to develop prototypes of AI-based features or products specific to your target companies. This demonstrates your ability to create value and can impress potential employers. By combining your programming skills with AI knowledge, you can position yourself as a valuable asset in the AI industry.
Incorporating AI into Existing Products
Another effective way to kickstart your AI engineering journey is to propose AI integrations for existing products. Research and analyze the products or services offered by your target companies. Identify areas where AI can enhance or improve these products. Build prototypes or demos that showcase the potential benefits of AI integration. These tangible demonstrations not only exhibit your technical skills but also reveal your creativity and problem-solving abilities. Presenting these ideas to relevant companies can create new opportunities and increase your chances of building a successful career in AI engineering.
In this week's episode of the podcast, freeCodeCamp founder Quincy Larson interviews Per Borgen about AI engineering and interactive developer education. Per is the co-founder and CEO of Scrimba and is a software engineer.
Be sure to follow The freeCodeCamp podcast in your favorite podcast app. And share this podcast with a friend. Let's inspire more folks to learn to code and build careers for themselves in tech.
Links we talk about during the interview:
Per's HTML + CSS course: https://www.freecodecamp.org/news/learn-html-and-css-from-the-ceo-of-scrimba/
