
microlearning | instructional design | bite-sized lessons | spaced repetition | AI course creation | performance support
What You Will Learn:
- Design backwards from the moment of application instead of forwards from a syllabus
- Apply the nine steps of learning and build repetition into the schedule
- Use the sixteen factors that decide whether knowledge reaches actual work
- Build performance support so the answer is available at the moment it is needed
- Generate short lessons, tests and variants with AI instead of writing each one
- Adapt one piece of material to several learning styles automatically
- Capture expertise from people who will never write a lesson themselves
- Measure whether anybody uses what you produced, not whether they liked it
- Learn alongside Mike’s 1.6 million students from 185 countries
- Draw on the author’s work at Preply, Wargaming, iDeals and Alfa-Bank
Let’s be real: the landscape of learning and development is shifting faster than ever. Traditional, hour-long eLearning modules or multi-day classroom sessions often feel like relics in our attention-scarce, rapid-iteration world. That’s where ‘Microlearning Design: Build Short Lessons That Stick’ steps in, and frankly, it’s a breath of fresh air for anyone serious about actual performance improvement over mere course completion.
Overview
Forget the old model of “information dumps” and hoping for the best. This course isn’t just about making lessons shorter; it’s a fundamental re-evaluation of how knowledge transfer happens in the workplace. It challenges the conventional wisdom that more content equals more learning. Instead, it champions a laser-focused approach: identifying the exact moment of application, then designing backwards to deliver precisely whatβs needed, when itβs needed. The genius here is its integration of artificial intelligence not as a gimmick, but as a genuine accelerator for content creation, allowing L&D professionals to move from manual content drafting to strategic curation and measurement. Itβs a paradigm shift from ‘teaching’ to ‘enabling’, ensuring that learning translates directly into tangible on-the-job action, leading to true career growth and demonstrable ROI.
Prerequisites
While the principles are universally applicable, this course isn’t an “Intro to Instructional Design” 101. Youβll get the most out of it if you have a foundational understanding of what L&D or corporate training entails. It’s particularly potent for those already grappling with the challenges of low engagement, poor knowledge retention, or struggling to link learning initiatives to concrete business outcomes. If you’re tired of building courses nobody finishes, or worse, finishes but doesn’t apply, you’re the target audience. No specific technical skills are required beyond basic computer literacy, but an open mind to leveraging AI course creation and a willingness to challenge established norms will serve you well.
Skills & Tools
Upon completing this course, you’ll walk away with highly relevant, job-ready skills that are increasingly in demand. You’ll master the art of microlearning design, learning to distill complex topics into bite-sized lessons that are impactful and memorable. Crucially, you’ll gain expertise in leveraging AI to generate learning content, quizzes, and even contextual variants across different learning styles with unprecedented efficiency. Expect to learn how to implement spaced repetition strategies to bolster retention and design robust performance support systems that provide just-in-time answers. You’ll also develop a data-driven mindset, focusing on measuring the actual utility and application of your learning interventions, rather than relying on vanity metrics.
Career Benefits & Job Roles
This course arms you with a modern toolkit that significantly enhances your value in the L&D space. Instructional Designers will find themselves transforming into strategic learning architects, capable of deploying highly effective, scalable solutions. L&D Managers, Training Specialists, Content Developers, and even Product Owners (thinking about onboarding) will gain the ability to rapidly create engaging and effective learning experiences. The focus on measurable outcomes and efficient content creation with AI means you can demonstrate a clear impact on organizational performance, paving the way for substantial career growth. Youβll be equipped to tackle challenges from beginner to advanced learning needs, implement real-world projects, and speak the language of business impact, not just learning theory. The skills acquired are applicable across industries, from tech startups to established enterprises, making you a highly sought-after professional.
Pros
- AI-Powered Efficiency: This isn’t just theory; it’s a practical guide to using AI course creation to dramatically reduce development time for lessons, tests, and adaptive content. Mike shows you how to generate multiple variants and ensure a strong pedagogical foundation, freeing you up for higher-level strategic work.
- Radical Performance Focus: The course fundamentally shifts your perspective to designing backwards from the ‘moment of application.’ This ensures every piece of learning content is purposeful, directly supporting on-the-job performance and building crucial job-ready skills, rather than just checking a box. It’s about building performance support that delivers.
- Actionable & Evidence-Based: Drawing on principles like the nine steps of learning and the sixteen factors that determine knowledge transfer, the methodology is grounded in proven science. This isn’t abstract philosophy; it’s a blueprint for designing interventions that actually work, measuring usage, and driving real impact.
- Credibility & Experience: Learning from Mike, with his 1.6 million students and extensive experience at companies like Preply, Wargaming, iDeals, and Alfa-Bank, means you’re getting insights from someone who’s actually “been there, done that” in diverse, high-stakes environments. This translates into practical advice, not just academic theories.
Cons
- Highly Prescriptive Approach: While its focused methodology is a significant strength for its stated goals, the course is quite opinionated and prescriptive. If you’re looking for a broad, comparative analysis of various traditional instructional design models (like ADDIE or SAM) or a deep dive into pure certification prep theory, this might feel too narrow. Itβs excellent for its niche, but it doesn’t try to be an encyclopedic guide to all things L&D.