AI in Training
👋 Welcome to AI in Training, TryTami’s weekly newsletter.
Explore how AI is transforming instructor-led training and how organizations can upskill teams on AI and emerging technologies to stay ahead.
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How We’re Using AI to Improve Technical Training
Create New Training Courses in Minutes
Technical training changes quickly, and course creation needs to keep up. We recently released faster course creation in TryTami to help training providers and L&D teams launch instructor-led and virtual instructor-led training programs with less effort.
You can now:
Customize the first prompt to match your technology and audience
Skip unnecessary steps when speed matters
Upload existing courses, outlines, or spreadsheets to accelerate setup
This makes it easier to respond to new client requests and emerging technologies without rebuilding courses from scratch.
Streamline Instructor and Student Communication
Clear communication is critical for successful instructor-led training. To reduce friction, we introduced a unified chat inbox in TryTami that brings all instructor, learner, and stakeholder conversations into one place.
This helps training teams:
Track communication by class and cohort
Reduce missed messages and back-and-forth
Keep training coordination moving without losing context
Technology Is Advancing Faster Than Skills
2026 will be defined by AI acceleration, not experimentation.
Enterprises are adopting new technologies faster than teams can build real proficiency.
AI, cloud-native platforms, automation tools, and security technologies are being rolled out quickly, often across multiple teams at once. The result is a growing skills gap that content libraries alone cannot close.
The challenge is no longer access to information. Most teams can find documentation, videos, and self-paced courses. The real gap is hands-on capability and applied skills.
This raises a critical question for training providers and learning leaders:
How do you train people effectively on fast-moving technologies at scale?
The answer increasingly points to instructor-led training and virtual instructor-led training supported by AI-native training management software.
Read more about how TryTami delivers instructor-led technical training at scale »
The Most Popular Technologies in 2026
The technologies driving demand for technical training in 2026 are deeply embedded in how teams work.
According to Gartner’s Top Strategic Technology Trends for 2026, AI-powered systems, cloud-native platforms, security, and digital trust are no longer experimental but are core enterprise investments shaping how organizations operate and compete.
These emerging technologies require more than conceptual knowledge:
AI-native applications and copilots
AI is built directly into daily workflows. Teams must learn how to work with AI, not just understand it conceptually.Data and automation platforms
Automation continues to expand across functions, requiring shared understanding beyond siloed roles.Cloud-native and platform engineering technologies
Scalability, reliability, and speed are now baseline expectations. Training must reflect real-world environments and tradeoffs.Security, privacy, and AI governance technologies
Regulatory and risk pressures are increasing, and skills must stay precise and up to date.Integration and API-first ecosystems
Modern systems depend on how technologies connect, not just how individual tools work.
Technology Area | Why It Is Growing | Training Implication |
|---|---|---|
AI-Native Applications and Copilots | AI is embedded directly into everyday tools | Learners must practice working with AI in real workflows |
Data and Automation Platforms | Decisions and processes are increasingly automated | Training must cross roles and teams |
Cloud-Native and Platform Engineering | Speed, reliability, and scale are business-critical | Hands-on environments are essential |
Security, Privacy, and AI Governance | Regulatory and risk pressures are increasing | Skills must stay current and contextual |
Integration and API-First Ecosystems | Systems depend on how they connect | Learners need system-level understanding |
What this means for training leaders: Demand for instructor-led technical training and virtual instructor-led training continues to grow alongside AI transformation initiatives.
Why Instructor-Led Training Is More Effective for Technology Training
Technology training is different from compliance or awareness training. New technologies introduce ambiguity, nuance, and real-world constraints that learners must work through, not memorize.
Industry research summarized by Training Industry and learning analysts shows instructor-led training consistently outperforms self-paced e-learning for complex technical skills because it enables real-time feedback, contextual problem-solving, and stronger skill application.
Instructor-led training enables:
Live problem-solving and guided discussion
Contextual questions based on the learner’s environment
Faster correction of misunderstandings before they become habits
This approach is especially critical for AI, cloud, security, and platform engineering technologies, where small mistakes can have large downstream effects.
When technology changes quickly, learning must be interactive and adaptive. That is why instructor-led and virtual instructor-led training remain the most effective formats for technical training in 2026.
Read more about instructor-led training versus e-learning »
How AI-Native Training Management Software Helps
While instructor-led training is highly effective, it is also operationally complex. As demand increases, many training teams struggle to scale without adding overhead.
AI-native training management software helps by removing friction from the operational side of training delivery.
How AI saves time and scales Instructor-Led Training (ILT):
Faster setup of instructor-led programs for new technologies
Easier coordination across instructors, learners, and cohorts
Reduced administrative work for training teams
The goal is enablement, not replacement. AI handles scheduling, coordination, and repetitive tasks so instructors can focus on teaching and learners can focus on building skills.
This matters in 2026, where speed, scale, and continuous change are the norm for technical training programs.
Read more about using AI to coordinate training »
Why TryTami Is Built for Training on Emerging Technologies
TryTami is designed specifically for instructor-led and virtual-instructor-led technical training programs.
Our AI-native training management software enables rapid iteration as technologies evolve and helps training providers and L&D teams:
Deliver high-quality instructor-led training consistently
Scale programs without increasing operational complexity
Keep pace with fast-moving technology and AI transformation initiatives
If you are planning training programs around emerging technologies, now is the time to rethink how you deliver and manage instructor-led training at scale.
Request a demo of TryTami to learn how:
Until next Tuesday,
Kelby, Dean, & Dave
About the authors:
This article was written by Dave, Kelby, and Dean from the TryTami team, who work closely with training providers and L&D teams to design and scale instructor-led training programs without the chaos.
Kelby is a former training company founder and CEO, Dean is a former engineering leader, and Dave is a former Strategic Account Executive in EdTech.
Together, they bring decades of experience across training and technology to help organizations close skill gaps faster by modernizing instructor-led training, reducing operational friction, and connecting teams with vetted instructors.
