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Enterprise Skill Intelligence Platform

Build teams that are measured by delivery readiness, not course completion.

Learnlytica combines structured learning, live cloud labs, auto-graded assessments, and readiness analytics so enterprises can close capability gaps with evidence.

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Live AWS, Azure, and GCP labs Auto-graded coding and project work Readiness dashboards for managers

Why enterprise teams replace fragmented training stacks

Learnlytica gives L&D leaders, delivery managers, and trainers one system for learning, practice, assessment, and readiness reporting.

Built for measurable outcomes

Common operating problems

  • Course completion does not tell you who is ready for project work.Capability evidence
  • Manual grading slows feedback and adds inconsistency across cohorts.Automated evaluation
  • Cloud practice environments are hard to manage and expensive to control.Usage guardrails
  • Managers do not have one reliable view of readiness, risk, and progress.Role-based visibility
Lab-first Hands-on practice is embedded throughout the learning journey, not added at the end.
Objective scoring Coding, cloud, and project tasks are evaluated against clear success criteria.
Early alerts Instructors and managers can intervene before a cohort falls behind schedule.
Cost controls Apply quotas to cloud and AI usage so experimentation stays productive and predictable.
The product

See it, don't just read about it

Manager dashboard Hiring readiness dashboard showing deploy-ready status per learner
Risk & intervention Learning intelligence view with risk scores and persona tags
Live coding labs Practice lab with coding challenge and JupyterHub
Project evaluation Auto-evaluated project with test results and scoring
Analytics & reporting Analytics dashboard with batch performance charts
Admin configuration Admin panel for evaluation templates and project configuration
How it works

From “we have a skill gap” to “team's ready”

A practical delivery model for skill assessments, targeted upskilling, and readiness reporting.

1

Assess the baseline

Start with a structured view of current capability so priority gaps are identified by role, team, or program.

2

Design the path

Map training, labs, and assessment checkpoints to the outcomes your delivery teams actually need to achieve.

3

Deliver through practice

Run the program through guided labs, coding work, and instructor-led support while the platform tracks progress continuously.

4

Report readiness

Use readiness dashboards and assessment evidence to decide who is ready now and what support is still required.

Run a readiness assessment

Start with a practical benchmark to understand where your team stands across cloud, AI, data, and engineering capability areas.

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See the learning workspace

Review the environment used for course delivery, lab execution, progress tracking, and day-to-day learner workflows.

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Start with a focused pilot and measure the outcome clearly.

Pick one team, one capability track, and one business objective. We will help you run a structured pilot with visible readiness metrics from the start.

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