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The Future of Learning in the Era of AI
AI and technology are moving faster than most teams can plan. One week there is a new model or feature that looks promising, the next week your tools update and yesterday’s “how-to” is already out of date. A vendor changes pricing to credits, your security policy gets an update, and the project deadline does not move.
Here are the kinds of shifts we hear about:
A new AI feature lands and employees ask, “Can we use this now?” while they still needs practical guidance.
A core tool updates its workflow and suddenly onboarding checklists, playbooks, and training decks no longer match reality.
Budgets tighten, so managers need proof that learning time translates into real progress on goals.
Policies change, and everyone needs the “what this means for us” version, not a 20-page memo.
New hires arrive with different backgrounds, and the team needs a fast way to level set.
Traditional learning options help in pieces. An LMS keeps records and compliance tidy, but it rarely builds day-to-day capability. Self-paced courses are great for curious individuals, yet they do not consistently move a whole team from awareness to confident practice. Traditional training vendors run generic, open-enrollment classes that rarely move the needle.
What will work in the future is simple and focused: set clear outcomes, match people with the right instructor and format, tailor content to your tools and ways of working, and automate the logistics so sessions actually happen. AI speeds up the matching. Live, instructor-led training turns knowledge into action. Automation keeps everything on track. Less friction, more progress.
The Online Learning Landscape
. LMS (Learning Management System)
Think: Cornerstone, Docebo, SuccessFactors, Absorb LMS, Degreed
These platforms are built for structure, not speed. They manage courses, compliance, and progress tracking, but they don’t solve for the biggest barrier: relevance and engagement. LMS tools are great for HR and onboarding but often lack modern tech content and personalized learning paths for engineering teams.
Pros: Centralized admin, tracking, integration with HR tools.
Cons: Stale content, slow to adapt, minimal instructor interaction.
. Self-Paced Tech Learning Platform .
Think: Coursera, Udemy, Pluralsight, DataCamp, LinkedIn Learning
These are excellent for individual learners. Engineers can explore anything from Python to cloud architecture at their own pace. But when companies need to roll out team-wide, hands-on upskilling, these platforms fall short. There’s no custom curriculum, no live feedback, and little accountability.
Pros: Large course libraries, affordable, flexible.
Cons: One-size-fits-all, low completion rates, limited collaboration.
. Traditional Training Vendor .
Think: Skillsoft, Global Knowledge, O’Reilly, Maven
These platforms focus on live, instructor-led sessions, offering public, open-enrollment schedules. However, most rely on manual coordination, opaque pricing, and limited customization. Booking a single session can take weeks and aligning to your team’s exact stack or schedule is often a headache.
Pros: Live, interactive, skill-focused.
Cons: Hard to scale, slow logistics, expensive per-seat costs.
AI-Powered Training Marketplace
Think: TryTami
This new category combines AI with live, instructor-led training to deliver customized, stack-specific learning quickly. TryTami matches your team with the right instructor, automates scheduling and communications, and offers transparent pricing so sessions launch fast and outcomes are measurable. You’ll need to quickly share your stack and goals up front and coordinate basic availability.
Pros: Customized technical learning, instant instructor matching, automated logistics, flexible formats, transparent pricing.
Cons: Requires light upfront scoping, and team availability.
Online Learning Comparison Guide
Category | Examples | Best For |
|---|---|---|
LMS (Learning Management System) | Cornerstone, Docebo, SuccessFactors, Absorb LMS, Degreed | Compliance, onboarding, centralized tracking |
Self-Paced Tech Platform | Coursera, Udemy, Pluralsight, DataCamp, LinkedIn Learning | Individual, on-demand learning |
Traditional Training Vendor | Skillsoft, Global Knowledge, O’Reilly | Public, open-enrollment classes |
AI-Powered Training Marketplace | TryTami | Fast, customized, live training for technical skills |
How TryTami Stands Out
TryTami combines the customization of AI with the impact of live instruction, serving as one platform for managing multiple courses, training employees, and supporting a continuous learning environment so your team can learn exactly what they need, when they need it.
Here’s how TryTami stands out:
✅ Customized technical learning: Every session is tailored to your team’s tech stack and goals, with extensive customization options to match your branding and requirements.
🧠 AI-powered matching: Instantly connect with the right instructor for any topic, from GenAI to cybersecurity, supporting skill development and structured training programs for employee training.
📅 Automated logistics: Scheduling, communication, and follow-up handled automatically, making it easy to launch and track training programs for training employees.
🛠️ Robust creation tools & integrations: Build and manage multiple courses with powerful creation tools and seamless integration with other tools, ideal for running an online school or comprehensive training programs.
📈 Flexible formats: From micro-sessions to deep-dive workshops, you choose how your team learns, supporting both individual skill development and organization-wide employee training.
💸 Transparent pricing: Know exactly what training costs before you book. No endless searches. No coordination chaos. Just fast, flexible, high-quality technical training.
Predictions for Corporate Learning in 2026
Top Five Predictions for Corporate Learning
Self paced usage keeps falling
Learner completion and monthly active use on large video catalogs continue to decline, especially for engineers. Leaders shift budgets from broad libraries to targeted technical training programs that produce measurable capability and make it easier to track progress in employee training.Instructor led training wins on behavior change
Live, practice heavy sessions outperform video libraries for adoption of new tools, workflows, and AI patterns. Instructor-led training has a significant impact on skill development, learning experience, and learner engagement. Leaders standardize on blended models that include live instruction and post session application.AI matching becomes the new front door
AI is highly effective at mapping skills gaps to the right instructor, format, and syllabus based on stack, roles, and goals. This supports internal training by quickly aligning learning needs with organizational objectives. Vendor selection and scoping move from weeks to minutes.Outcome tied funding replaces seat time
Budgets favor programs linked to cycle time, AI adoption, and cost per outcome. Vanity metrics like hours watched lose weight.Automation cuts learning operations overhead
Scheduling, reminders, rosters, labs access, surveys, and follow up tasks are automated using automation tools. These tools streamline routine tasks, allowing program managers to focus on outcomes, not logistics.
What This Means for Engineering Leaders
Shift spend from broad catalogs to instructor led programs with clear capability metrics, and leverage tools to track progress in both employee training and internal training initiatives.
Use AI to match teams to the right instructor and syllabus based on your stack, ensuring training programs are tailored for maximum skill development and learner engagement.
Blend micro learning for prep with live practice for adoption to create a more engaging and effective learning experience that supports ongoing skill development.
Automate logistics so your team spends time learning, not scheduling, and prioritize platforms that foster learner engagement and make it easy to monitor and report on training program outcomes.
How TryTami Supports These Shifts
AI powered instructor matching that aligns experts to your stack, roles, and goals.
In-demand skills across AI, ML, prompt engineering, data engineering, software architecture, software engineering, and more.
Live, instructor led training delivered as micro sessions or workshops with hands on practice.
Automation tools to handle routine tasks, such as setting up learning paths, scheduling, and communications, making it easy to launch and manage training programs and employee training. These tools also help track progress and streamline reporting.
Support for internal training and skill development, enhancing the learning experience and boosting learner engagement through interactive content and tailored learning paths.
Transparent pricing and outcome oriented plans tied to your KPIs.
Get Early Access to TryTami
Learning platforms are evolving but most weren’t built for fast-moving engineering teams. TryTami was.
On TryTami, you can now:
Provide access to live training in AI, cloud, data, software engineering, and more
Take advantage of early access to explore platform features
Customize a learning path for your engineering org
Join the public beta and shape the future of learning
If your team is ready to move beyond static courses and outdated LMS content, now’s the time to explore how AI-driven, instructor-led training can help your org upskill faster than ever.
Thank you for reading!
Until next Tuesday,
Kelby, Dean, Dave
