Cutting a long course into pieces just produces a long course in pieces, because length was never the variable. This course starts from that correction, covering how adults absorb information, the sixteen factors that decide whether knowledge reaches actual work, and how to design backwards from the moment somebody has to do the thing.

This Course Offers

• Learning science covering ADDIE, defining the end result before designing, the nine steps of learning, bottlenecks between them, and the importance of repetition
• Sixteen factors that determine knowledge transfer, plus reminders, performance support options, and six step evaluation
• Knowledge capture covering explicit versus tacit knowledge, extraction through interviews and working groups, structuring into a base or wiki, and embedding knowledge in the workflow
• AI production including course generation, video and tests at volume, adapting one piece of material to several learning styles, personalised paths, and analytics
• Prompting craft covering templates for repeated tasks, building your own assistant on your documents, rewriting to a required style, and composite prompts for precise output

Why We Love This Course

1. It corrects the most common mistake directly, which is assuming shorter equals better.
2. The nine steps and sixteen transfer factors appear together here and nowhere else in Mike's material.
3. Measurement focuses on whether anybody uses what you produced, not whether they liked it.
4. You need material people must actually use, which makes the practice immediately applicable.

Training that nobody applies wastes the budget twice, once to build it and again in lost capability. Do you want completion rates that look good, or knowledge that shows up in the work? Enrollment is open, and no instructional design qualification is needed.

• This course is perfect for instructional designers converting long programmes into short ones.
• It suits learning and development specialists whose completion rates fall after week one.
• Subject experts, course creators, enablement and onboarding leads, and teachers rebuilding material for mobile study will find the practical approach directly useful.

• Material you need people to actually use is needed, rather than just something to watch.
• No instructional design qualification is required.
• Access to any AI assistant is needed for the production exercises, and English at intermediate level or above is expected.

Interested in exploring more lessons? Check out our full course library to continue building your skills and advancing your learning journey.