Content Engineering 101

Transform messy information into AI systems that work. 

What You’ll Be Able to Do 

By the end of this course, you’ll have the skills to build and maintain AI systems that companies can actually trust. Specifically, you’ll be able to: 

• Take messy, real-world content and transform it into a clean and organized knowledge base that AI systems can use reliably 

• Work effectively with technical teams by understanding how AI systems use knowledge and communicating clearly with developers 

• Prevent costly failures before they happen by catching contradictions, gaps, and risks before your AI agent interacts with real users 

• Maintain agent quality as systems evolve — because AI models change and user needs shift 

This isn’t about editing for style or writing marketing copy. Content Engineering is a distinct professional discipline that sits at the intersection of knowledge management, quality assurance, and AI systems design. If you can’t do all five of these things, you’re not yet a Content Engineer — and this course will get you there. 

Who This Course Is For 

This course is designed for experienced professionals making the transition into AI systems work: 

• Writers and editors who want to move beyond content creation into systems thinking 

• Content strategists ready to work with AI at the infrastructure level 

• Technical communicators who see the AI revolution coming and want to lead it 

• Information architects and knowledge managers expanding into AI applications 

• Analysts who organize complex information for a living 

What You’ll Need 

While you don’t need to know how to code, you do need these skills: 

• Skills to Create AI Projects (e.g., Claude projects) are required – Must be able to create projects, add instructions, and upload files independently. Students are encouraged to use Claude for their own Content Engineering projects. 

• Strong written communication skills — you should be comfortable writing clearly and precisely 

• Comfort reading technical documentation — you’ll work with developer docs, API references, and system specifications 

• Logical reasoning and attention to detail — you must be able to spot inconsistencies, contradictions, and gaps in information 

• Intellectual honesty — this field has zero tolerance for guessing, hand-waving, or “close enough”

If you’re ready to build the knowledge systems that power the next generation of AI, this course will show you how. 

Course Structure

5 modules | Self-paced