SN
Reports / Q1 2025 Training Roadmap

Q1 2025 Training Roadmap

EXCELReady
Generated Dec 3, 2025 at 4:08 AM
856 KB
Generated by Alex Chen
Report Period: Nov 1, 2024 - Nov 21, 2024

Priority Matrix

Training needs plotted by impact and urgency. Bubble size represents the number of affected employees.

High Impact / High Urgency

Immediate priority - Act now

High Impact / Low Urgency

Strategic planning required

Low Impact / High Urgency

Quick wins - delegate if possible

Low Impact / Low Urgency

Monitor and reassess periodically

Immediate
High
Strategic

Course Catalog

CourseCodeProviderPriorityEmployeesDurationCost/PersonFormat
Advanced Kubernetes AdministrationKUBE-ADV-301CompuEducaciónImmediate4724h$1,200Virtual
Secure Coding PracticesSEC-DEV-201CyberSafe AcademyImmediate3516h$800Virtual
MLOps: Production Machine LearningML-OPS-201CompuEducaciónHigh2332h$2,400In Person
AWS FinOps & Cost OptimizationAWS-FIN-301CloudMastersHigh1820h$1,500Virtual
RESTful API Design MasterclassAPI-DES-201TechPro InstituteHigh4224h$1,800In Person
Modern Data Pipeline EngineeringDATA-ENG-301DataPro AcademyStrategic1532h$1,200Self-Paced
Service Mesh with IstioISTIO-201CompuEducacionStrategic1220h$2,200Virtual
Total192168h$286,600

Cohort Planning

Advanced Kubernetes Administration

KUBE-ADV-301 - CompuEducación

Immediate

Suggested Group Size

16 people

Number of Groups

3 cohorts

Timeline

Q1 2025

Departments

Infrastructure, Engineering

Rationale: Group by department to enable team-based learning and shared practices

Prerequisites:Kubernetes FundamentalsDocker Basics

Secure Coding Practices

SEC-DEV-201 - CyberSafe Academy

Immediate

Suggested Group Size

18 people

Number of Groups

2 cohorts

Timeline

Q1 2025

Departments

Engineering, Product

Rationale: Group by experience level to ensure appropriate depth of coverage

Prerequisites:Basic Programming

MLOps: Production Machine Learning

ML-OPS-201 - CompuEducación

High

Suggested Group Size

12 people

Number of Groups

2 cohorts

Timeline

Q2 2025

Departments

Analytics, Engineering

Rationale: Cross-functional cohorts of data scientists and engineers to build collaboration

Prerequisites:Python for Data ScienceML Fundamentals

AWS FinOps & Cost Optimization

AWS-FIN-301 - CloudMasters

High

Suggested Group Size

9 people

Number of Groups

2 cohorts

Timeline

Q2 2025

Departments

Infrastructure

Rationale: Small groups for hands-on cost analysis exercises

Prerequisites:AWS FundamentalsBasic Cloud Architecture

RESTful API Design Masterclass

API-DES-201 - TechPro Institute

High

Suggested Group Size

14 people

Number of Groups

3 cohorts

Timeline

Q2 2025

Departments

Engineering, Product, Analytics

Rationale: Mix of departments to establish cross-team API standards and conventions

Prerequisites:Web Development Basics

Modern Data Pipeline Engineering

DATA-ENG-301 - DataPro Academy

Strategic

Suggested Group Size

8 people

Number of Groups

2 cohorts

Timeline

Q3-Q4 2025

Departments

Analytics

Rationale: Self-paced with weekly study groups for peer learning and accountability

Prerequisites:SQL FundamentalsPython for Data Science

Service Mesh with Istio

ISTIO-201 - CompuEducacion

Strategic

Suggested Group Size

6 people

Number of Groups

2 cohorts

Timeline

Q3-Q4 2025

Departments

Infrastructure

Rationale: Advanced topic requiring small groups for in-depth lab exercises

Prerequisites:Advanced Kubernetes Administration

Budget Breakdown

Total Cost

$286,600

Total Employees

192

Cost per Employee

$1,493

Budget by Department

Budget by Priority

PriorityCoursesEmployeesTotal Budget% of Total
Immediate
282$84,40029.4%
High
383$157,80055.1%
Strategic
227$44,40015.5%
Total7192$286,600100%

Timeline Roadmap

Training courses scheduled across quarters based on priority and dependencies.

Q1 2025

Immediate Priority(2 courses)
Advanced Kubernetes Administration
24h | 47 employees
Secure Coding Practices
16h | 35 employees

Q2 2025

High Priority(3 courses)
MLOps: Production Machine Learning
32h | 23 employees
AWS FinOps & Cost Optimization
20h | 18 employees
RESTful API Design Masterclass
24h | 42 employees

Q3-Q4 2025

Strategic Priority(2 courses)
Modern Data Pipeline Engineering
32h | 15 employees
Service Mesh with Istio
20h | 12 employees

Dependencies

  • - Service Mesh with Istio requires completion of Advanced Kubernetes Administration
  • - Modern Data Pipeline Engineering requires SQL Fundamentals and Python for Data Science
  • - AWS FinOps requires AWS Fundamentals (can run in parallel with Q1 courses if needed)

ROI Projections

Productivity Increase

+15%

Expected improvement across trained teams

Reduced Hiring Needs

5 positions

Savings: ~$750K/year in salaries

Time to Proficiency

3-6 months

Post-training skill application

Risk Mitigation Value

Deployment Incidents

-40%

Reduction through Kubernetes & secure coding training

Cloud Costs

-30%

Estimated savings through FinOps training

Security Vulnerabilities

-50%

Reduction in code-level security issues

Integration Time

-35%

Faster cross-team collaboration with API standards

ROI Summary

Training Investment

$286,600

Hiring Cost Avoided

$750,000

Est. Productivity Gains

$450,000

Estimated 1-Year ROI

2.8x

Based on industry benchmarks and organization-specific factors. Actual results may vary.

Strategic Goals Alignment

Training plan addresses the following organizational priorities:

Cloud Migration InitiativeAI-Powered Features RoadmapSecurity Compliance 2025Cost Reduction InitiativePlatform ModernizationData Platform Upgrade