Technical and AI Skills
Not all skills can be learned independently. Technical and AI-related skills often require guidance, feedback, and real-world context.
This is where instructor-led training consistently outperforms other formats.
Table of Contents
Why Technical Skills Benefit from Instructor-Led Training
Instructor-led training supports:
Hands-on practice
Complex problem-solving
Immediate troubleshooting
Contextual decision-making
These strengths are outlined in more detail in our guide to instructor-led training best practices.
Scenarios Where ILT Is the Right Choice
Instructor-led training is ideal when:
Learners must apply knowledge immediately
Skills have real-world consequences
Teams need consistent standards
Errors are costly
Examples of Technical ILT Use Cases
Avoid these common virtual instructor-led training mistakes:
Overloading slides
Ignoring learner fatigue
Treating VILT like a webinar
Lecturing without interaction
Many of these issues stem from misunderstanding how instructor-led training translates to virtual environments.
Teams often struggle to scale instructor-led training without losing quality. TryTami supports instructor-led programs with structured practice, real-world scenarios, and expert-led delivery. Request a demo.
Technical Skills Require More Than Content Libraries.
TryTami’s training management software eliminate's the chaos of running instructor-led training programs for technical and AI skills. Training providers and leaders use TryTami to save time and scale virtual learning experiences by automating training operations.
About the author: Dave Murphy has over a decade of experience in the instructor-led training industry, volunteered for the Association of Talent Development (Boston chapter), and is the Head of Go-To Market for TryTami. Connect with him on LinkedIn.
