Every Successful Course
Starts with a Roadmap
Plan Ahead
Course development begins at the end. Knowing who your users are, what they need, and what assessments will best meet those needs.
Write Clear Learning Objectives
Clear and definable learning objectives, aligned to Blooms Taxonomy, keeps course development on track and communicates the value of your course to the learner.
Keep it Focused
Course development means breaking content into concise topics, each supported with clear examples and visuals to make learning engaging and memorable.
Make it Accessible
Accessibility in course design means making learning usable for everyone—providing clear text, captions, alt text for images, and flexible formats so all learners, regardless of ability, can fully engage and succeed.
Diversify Assessments
Strong course planning uses a mix of assessments—reflections, quizzes, scenarios, and more—to build mastery, keep content fresh, and reveal different insights into what learners know.
Embrace Games
Gamification can serve as a powerful assessment tool, turning quizzes and challenges into engaging games. By earning points, badges, or progressing through levels, learners demonstrate knowledge in real time while staying motivated and invested in the material.
Assessments Should be Authentic
Simulations work as summative assessments by putting learners in real-world scenarios, testing not just knowledge but how they apply it to solve problems and show true skill mastery.
What's the End Game?
Learning outcomes should connect directly to deliverables like badges or certificates, giving learners tangible proof of their accomplishments and a way to showcase their skills beyond the course.
Data-driven Development
Using analytics and learner feedback—through tools like Google data or surveys—helps guide course improvements, ensuring new development meets real learner needs and enhances the overall experience.
Machine Learning & Deep Learning
Project Overview:
Machine Learning and Deep Learning is an IBM-developed course that blends traditional e-learning with gamification and interactive elements to introduce core AI concepts. Learners explore the differences between AI, machine learning, and deep learning; understand key models like regression and decision trees; and follow how neural networks mimic the brain. The course wraps with real-world applications, the rise of generative AI, and future trends shaping the field.
I’ve designed over 150 courses as a teacher, instructional designer, and content manager. From high school history to technical training on Cloud platforms, every successful course starts with one principle—know your audience.
