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Elevate your Information Technology team with quality custom training content.
Training and Development Manager, New York, NY
eLearning Solutions Company is fantastic! Their products are innovative, user-friendly, and do an excellent job presenting the training content. I'm so grateful for their help, we were able to reach our training targets and stay on track with the business goal. I would gladly recommend this team to anyone looking for an effective online learning curriculum.
Senior Learning Evangelist, Tallahassee, FL
This company develops superior custom learning courses. Their comprehensive approach to content processing and engaging delivery greatly simplified complex topics for my internal learners. They offer quality courses that are well-suited to self-paced learning. The courses we received are an invaluable educational resource for us.
Senior Traning Manager, Richmond, VA
The ELS team is incredible, very talented, and very skilled! They've transformed the boring courses we've been using until now into content that is fun, engaging, and interactive. Every slide is meticulously designed and serves a purpose. I absolutely recommend ELS as my #1 contractor for anything learning-related.
VP of People Operations, New York, NY
The eLearning Solutions Company has revolutionized learning for our team with their innovative AI chatbots. We now have interactive and engaging modules that have improved our learning completion metrics as well as knowledge retention. AI was an excellent and forward-thinking approach! I highly recommend this company.
Program Manager, San Francisco, CA
eLearning Solutions Company has exceeded my expectations. Their interactive modules are brilliantly designed, informative, engaging, and incredibly intuitive. The support and communication I received throughout the project were fantastic as well. I will certainly trust this team with my future learning and development needs.
Head of Human Capital, Hoboken, NJ
This company is fantastic! We had a very tight deadline, and I'm glad that we selected the right contractor to outsource our learning needs. I highly recommend them to anyone looking for a reliable external learning development partner.
Chief Learning Officer, Las Vegas, NV
eLearning Solutions Company offered an exceptional development process, truly transforming our training modules. Their innovative solutions, professionalism, and project management are incomparable. They are a valuable resource for any company's elearning needs.
Lead Learning Designer, Sacramento, CA
The eLearning Solutions Company profoundly enhanced our elearning capabilities. Their tailored solutions and exceptional support services are second to none. The new courses are truly a game-changer for our training program. Highly recommended!
Managing Director, New York, NY
eLearning Company is phenomenal! The training materials they created for us are clear, engaging, and easy to follow. Our team's skills and knowledge improved significantly. I highly recommend this company for enriching professional development.
Head of People, Boston, MA
I can honestly say that your team has delivered beyond my expectations. Every single one of the elearning modules is top-notch, engaging, and well-thought-through. The interactive content has truly helped us deliver the message and make sure it sticks. I would highly recommend your approach and the innovative learning solutions you deliver!
HR Manager, Chicago, IL
My experience with eLearning Solutions Company has been exceptional. They provided a stellar development service with utmost professionalism and efficiency. Their user-friendly designs and innovative learning strategies surpassed my expectations! They are true leaders in the elearning industry.
for the Information Technology industry
Microlearning Modules
Bite-sized lessons that deliver focused knowledge quickly and efficiently.
Example:
A five‑minute microlearning module for developers and site reliability engineers outlines steps for zero‑downtime deployment, including canary gating, feature flags, health probes, and automatic rollback. It launches from the continuous integration pipeline after tests pass and ends with a four‑item preflight check to confirm readiness. The module tracks change failure rates and mean time to restore.
Engaging Scenarios
Interactive stories that let learners practice decision-making in realistic contexts.
Example:
An eight‑minute scenario for on‑call engineers presents choices such as performing a quick rollback, applying a hotfix, or shifting traffic during a production outage. Learners see how each decision affects service‑level objectives and risk, and they receive a template for post‑incident notes.
Tests and Assessments
Quizzes and evaluations that measure understanding and track progress.
Example:
A ten‑minute assessment challenges developers to identify SQL injection, server‑side request forgery, and hard‑coded secrets in short code snippets. Each test uses random sets of items and provides immediate feedback with links to internal standards.
Personalized Learning Paths
Customized content sequences tailored to each learner’s goals and needs.
Example:
Role‑specific learning paths are available for backend developers, frontend developers, site reliability engineers, quality assurance testers, platform engineers, and support staff. Each path combines micro‑lessons tailored to the technology stack, two job shadowing sessions, and a sign‑off checklist. Progress is unlocked based on quiz results and mentor reviews.
Performance Support Chatbots
On-demand digital assistants that provide just-in-time answers and guidance.
Example:
A chat‑based runbook assistant allows engineers to ask about procedures such as key rotation, restart patterns, rate‑limiting rules, or rollback steps. It returns relevant snippets from runbooks and infrastructure documentation with copy buttons for easy insertion into terminals or tickets.
Online Role-Plays
Simulated conversations or interactions that help learners build real-world skills.
Example:
An online role‑play for product managers and site reliability engineers helps them practice delivering clear, non‑technical updates to executives and customers during an incident. They interact with a responsive avatar and receive time‑stamped coaching to improve their second attempt.
Compliance Training
Structured programs that ensure employees meet regulatory and organizational standards.
Example:
A 12‑minute module teaches engineers how to handle sensitive data in logs, screenshots, and sample datasets. It provides practical examples of what to do and what to avoid and includes an electronic attestation recorded for audit purposes.
Situational Simulations
Immersive activities that replicate real-life challenges in a risk-free environment.
Example:
A nine‑minute simulation for platform teams presents time‑limited decisions about scaling policies, cache rules, and queue backpressure during a traffic surge. Learners see how their choices affect latency, error rates, and costs and receive a tuning checklist at the end.
Upskilling Modules
Targeted courses designed to expand knowledge and build new competencies.
Example:
A 15‑minute module gives engineers hands‑on practice exploring traces, logs, and metrics using a sandbox dataset. It includes a downloadable cheat sheet on service‑level indicators and objectives.
Problem-Solving Activities
Exercises that strengthen critical thinking and practical problem-solving skills.
Example:
In a team activity, engineers analyze anonymized incident artifacts such as timelines, pull requests, and dashboards to identify contributing factors. They write countermeasures aligned with error budgets to prevent recurrence.
Collaborative Experiences
Group learning opportunities that encourage teamwork and knowledge sharing.
Example:
During a 45‑minute session, engineering, quality assurance, product management, and support teams align on scope, risk, and rollback plans using a shared board. The session results in a go/no‑go checklist and a communication plan.
Games & Gamified Experiences
Play-based learning methods that motivate through competition, rewards, and fun.
Example:
A three‑minute daily game invites developers to identify vulnerabilities in short code snippets. A leaderboard resets weekly to encourage participation.
1
Skill Growth
Custom training builds real-world competencies step by step, giving learners the confidence and ability to perform effectively.
2
Employee Engagement
As learners see their skills improving, they become more invested and motivated, deepening participation in the training process.
3
Organizational Readiness
This combination of stronger skills and higher engagement ensures the workforce is prepared, compliant, and aligned with organizational goals.
in the Information Technology Industry
40%
Less Time Spent on Training
Online learning requires less than half of the time that would be needed for in-person training.
70%
Efficient Experience-Based Learning
Up to 70% of adult learning occurs through hands-on experiences. Online task simulators allow practicing and making mistakes in safe environments.
94%
Higher Learner Satisfaction
94% of adult learners prefer to study at their own pace and on their own schedule.
in Information Technology
AI-Powered Chatbots and Virtual Coaching
These are conversational agents (often built on advanced language models) that can interact with employees in natural language – answering questions, providing feedback, and even coaching in a human-like manner. L&D decision-makers are increasingly adopting these tools to offer on-demand assistance and personalized guidance.
24/7 Learning Assistants
AI chatbots serve as always-available tutors or helpdesk agents for learners. Employees can ask a training chatbot to clarify a concept, provide an example, or troubleshoot a problem at any time. Many companies have integrated such bots into their learning platforms or collaboration apps. According to industry research, virtual assistants and chatbots are now being deployed to handle routine learner queries and provide instant feedback on quizzes or exercises. This immediate support keeps learners from getting stuck and enables more self-directed learning. It also reduces the burden on human instructors or IT support for common questions.
Example:
A chat‑based assistant integrated into Slack or Teams lets engineers ask questions about deployment, rollback procedures, handling personally identifiable information, or incident communication. It returns concise guidance with links to source documents.
Feedback and Coaching
Beyond Q&A, AI coaches can give real-time feedback on performance. Modern AI tutors use natural language understanding to evaluate free-form responses and deliver personalized coaching, just like a digital mentor. L&D leaders find these applications instrumental in achieving training goals; surveys show high ROI of using AI chatbots to offer real-time feedback and guidance during learning.
Example:
Developers can paste a pull request description into an AI tool that suggests clearer scope descriptions, risk notes, and rollback plans. It flags missing tests and uses timestamps to guide revisions.
Scenario Practice and Role-Play
A cutting-edge use case of AI chatbots is powering immersive role-play simulations. AI characters can simulate realistic dialogues with learners. Users can practice a coaching conversation with an AI-driven avatar that responds dynamically. Many organizations have already implemented this type of learning interaction, enabling learners to practice difficult conversations in a safe, simulated environment and receive instant constructive feedback. The AI can adapt its responses based on what the learner says, creating a tailored scenario and coaching the learner on their choices. This moves training beyond scripted e-learning into interactive learning-by-doing.
Example:
An AI‑driven practice lab simulates the escalation from Level 1 to Level 2 support and on‑call handoffs using responsive avatars. Coaching notes compare the learner’s responses to the escalation matrix.
coaching can help you improve training outcomes.
Automated Assessments and Intelligent Feedback
AI is transforming how companies assess learning and evaluate competencies. Traditional training assessments (quizzes, tests, assignments, etc.) can be labor-intensive to create and grade, and they often provide limited feedback to learners. AI is changing this by enabling more automated, intelligent assessment methods.
Auto-Generated Quizzes and Exams
Using generative AI, L&D teams can automatically create pools of quiz questions, knowledge checks, or even complex case-study exams. Given a training document or video, an AI tool can generate relevant questions to test comprehension. This not only speeds up assessment development but can also produce a wider variety of test items (reducing over-reliance on a few repeat questions). By automating quiz generation, trainers ensure assessments are always fresh and stay aligned with up-to-date content and learning goals.
Example:
An AI tool converts updated runbooks into eight to twelve sequence, scenario, or image‑based questions. Subject matter experts review the questions before they are assigned to the appropriate team.
Automated Grading and Evaluation
Your AI-powered training tool can grade many types of learner responses automatically, far beyond simple multiple-choice scoring. Natural language processing models are capable of evaluating open-ended text responses, short essays, or even code snippets by comparing against expected answers or rubrics. This is particularly useful for large companies that need to assess thousands of learners efficiently and do it in a way that offers personalized feedback and recommendations.
Example:
AI assesses lab submissions such as infrastructure‑as‑code files, configuration YAML, and tests against established criteria for safety and clarity and returns consistent feedback to learners.
AI-Assisted Feedback and Coaching
Beyond Q&A, AI coaches can give real-time feedback on performance. Modern AI tutors use natural language understanding to evaluate free-form responses and deliver personalized coaching, just like a digital mentor. L&D leaders find these applications instrumental in achieving training goals; surveys show high ROI of using AI chatbots to offer real-time feedback and guidance during learning.
Example:
An AI system analyzes recorded incident bridge meetings to flag jargon, missing impact statements, and unclear ownership. It uses timestamps to create coaching plans.
Fairness and Consistency
AI-based assessment can also improve consistency in scoring and reduce human bias in evaluations. Every learner is judged by the same criteria, and AI models (when properly trained and tested) apply the rubric objectively. And, of course, there's always an option to validate AI-produced scores with periodic human review, especially for high-stakes evaluations, to maintain trust and accuracy.
Example:
Automated rubrics help standardize grading for code samples, demonstrations, and runbook checks across teams. Managers periodically review samples to ensure consistency.
assessments and intelligent feedback.
Predictive Analytics for Training Impact and ROI
Linking training efforts to business outcomes has long been a challenge for L&D. Today, AI-driven learning analytics are giving organizations new powers to measure and even predict the impact of training on performance metrics. By analyzing large datasets of learning activities and outcomes, AI can uncover patterns that help prove ROI and improve decision-making.
Advanced Learning Analytics
Traditional training metrics (completion rates, test scores, satisfaction surveys) only tell part of the story. AI allows far deeper analysis by correlating learning data with business data. Organizations are deploying predictive analytics that ingest data from Learning Management Systems, HR systems, and operational KPIs to evaluate how training moves the needle on business goals.
Example:
Analytics tools link training completion to DevOps Research and Assessment (DORA) metrics such as deployment frequency, lead time, change failure rate, and mean time to restore. They also analyze ticket themes and service‑level objective burn to prioritize training content.
Predicting Training Needs and Outcomes
AI can not only look backward but also predict future training needs and outcomes. AI-driven analytics can even predict which employees might benefit most from certain training, or who might be at risk of low performance without intervention. This predictive capability helps L&D teams prioritize and tailor their initiatives for maximum impact.
Example:
Predictive models identify teams likely to miss service‑level objectives before busy periods and automatically assign refreshers on runbooks, rollback procedures, or observability practices.
Real-Time Dashboards and Reporting
Modern L&D analytics platforms infused with AI provide real-time dashboards that track training effectiveness. These might include sentiment analysis of learner feedback comments, anomaly detection (e.g., identifying if a particular course consistently yields poor post-test results, indicating content issues), and even natural language generation to summarize insights for L&D managers. The goal is to move beyond basic reporting to actionable intelligence.
Example:
A live dashboard shows completions, failed knowledge checks, and clear insights for engineering leaders to monitor release readiness.
Demonstrating ROI
AI-powered analytics capabilities feed into the bigger mandate of proving the value of training. AI helps by directly linking learning metrics to performance metrics. Companies can now estimate the dollar impact of closing a skill gap or predict how improving a certain skill through training will affect key business outcomes. This elevates L&D’s credibility in the eyes of executives.
Example:
Executive dashboards measure outcomes such as faster onboarding, a lower change failure rate, reduced mean time to restore, and fewer policy exceptions to demonstrate the return on investment in training.
can drive your business outcomes.
SaaS & Product Engineering Orgs
- Reduce change failures with deploy checklists and sims.
- Standardize runbooks with ChatOps assistants.
- Link training to DORA metrics and SLO burn.
Managed Service Providers (MSPs)
- Ramp technicians with role paths and artifact checks.
- Handle surges via outage simulations.
- Prove SLA readiness in dashboards.
Enterprise IT & Infrastructure
- Standardize change control with micro-modules.
- Use assistants to surface procedures at the desk.
- Correlate training to incidents and resolution time.
Cybersecurity & SOC Teams
- Rehearse triage and escalation in safe sims.
- Calibrate playbooks with AI-scored artifacts.
- Track MTTD/MTTR improvements.
Platform & Cloud Engineering
- Improve autoscaling and resilience via sims.
- Reduce toil with just-in-time runbook answers.
- Show impact in SLOs and spend curves.
Retail & eCommerce IT
- Protect peak days using surge playthroughs.
- Unify incident comms with role-plays.
- Link training to checkout uptime and latency.
Fintech & Payments Engineering
- Standardize runbooks and policy prompts in chat.
- Practice rollback/feature flags under load.
- Correlate training to errors and recovery time.
Gaming & Live Services
- Rehearse launch days with traffic sims.
- Coach updates to non-technical stakeholders.
- Track readiness against live-ops KPIs.
Data Platform & Analytics
- Upskill on data privacy/PII handling via micro-lessons.
- Standardize pipeline runbooks with assistants.
- Link training to SLA and defect trends.
IT Service Desks
- Reduce AHT with KB bots and scripts.
- Practice de-escalation and clear updates.
- Show impact in FCR and CSAT.