Get Custom Training
for Engineering Teams
Deliver personalized
learning
Close skill gaps
Establish cost-effective
training operations
Elevate your Engineering 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 Engineering industry
Microlearning Modules
Bite-sized lessons that deliver focused knowledge quickly and efficiently.
Example:
3–7 minute lessons on drawing standards and GD&T, design-for-manufacture, basic FEA concepts, change control, ESD, arc-flash awareness, and LOTO fundamentals.
Engaging Scenarios
Interactive stories that let learners practice decision-making in realistic contexts.
Example:
Branching stories mirror real choices: accept a tolerance change, hold for analysis, or escalate a safety concern. Outcomes affect rework, schedule, and risk so trade-offs are clear.
Tests and Assessments
Quizzes and evaluations that measure understanding and track progress.
Example:
Randomized checks validate symbol interpretation, material selection, wiring color codes, torque sequences, and inspection plan steps—using images and short snippets.
Personalized Learning Paths
Customized content sequences tailored to each learner’s goals and needs.
Example:
Paths adapt for mechanical, electrical, civil, controls, manufacturing, quality, and project engineers—routing time to the biggest skill gaps by role and discipline.
Performance Support Chatbots
On-demand digital assistants that provide just-in-time answers and guidance.
Example:
Ask for a torque spec template, test plan outline, drawing check checklist, or wiring color standard; the assistant cites your guides and procedures inside chat.
Online Role-Plays
Simulated conversations or interactions that help learners build real-world skills.
Example:
Practice technical conversations—walking a client through design trade-offs, pushing back on scope creep, or briefing a safety concern—then retry with coaching.
Compliance Training
Structured programs that ensure employees meet regulatory and organizational standards.
Example:
Make standards practical: ISO 9001 concepts, document control, PPE, LOTO, confined space awareness, and electrical safety basics—paired with attestations and records.
Situational Simulations
Immersive activities that replicate real-life challenges in a risk-free environment.
Example:
Sims recreate design reviews under deadline, prototype failures, field RFIs, and commissioning trips. Make time-boxed choices and see impacts on risk and schedule.
Upskilling Modules
Targeted courses designed to expand knowledge and build new competencies.
Example:
Build skills in FMEA, root-cause methods, tolerance stacks, PLC basics, and data visualization—stacking into badges aligned to career ladders.
Problem-Solving Activities
Exercises that strengthen critical thinking and practical problem-solving skills.
Example:
Teams dissect defects, test escapes, or late-stage RFIs; propose countermeasures and compare to best-practice playbooks to strengthen engineering judgment.
Collaborative Experiences
Group learning opportunities that encourage teamwork and knowledge sharing.
Example:
Design, manufacturing, quality, and safety align on ECNs, validation plans, and line trials using shared whiteboards and async review cycles.
Games & Gamified Experiences
Play-based learning methods that motivate through competition, rewards, and fun.
Example:
Engage teams with GD&T symbol hunts, hazard-spotting challenges, and tolerance-stack races. Points and badges keep practice lively.
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 Engineering 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 Engineering
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:
Engineers ask for template steps, design checks, or safety sequences and receive concise, source-linked guidance grounded in your internal standards and checklists.
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:
As you draft a design decision note or test plan rationale, AI suggests clearer structure, flags missing evidence, and prompts stakeholder considerations.
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:
Adaptive avatars simulate clients, production leads, or safety officers—reacting to your choices—so you can practice alignment and risk communication before meetings.
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:
Upload updated design guides or safety work instructions; AI drafts image IDs, sequence, and scenario items for SME review—keeping checks current.
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 evaluates written responses and demo videos against rubrics—checking completeness, safety calls, and clarity—returning consistent, actionable feedback at scale.
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:
Deeper multimodal analysis reviews voice, timing, and posture in lab demos—flagging micro-risks (e.g., hand placement near pinch points) with time-stamped tips.
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:
Shared rubrics plus AI reduce scorer variability across sites and disciplines. Leaders sample for QA, producing defensible, audit-friendly evaluations.
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:
Link learning to rework cost, ECO cycle time, prototype first-pass yield, RFIs, and safety incident rates to see which modules change outcomes.
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:
Ahead of design freezes or commissioning, models flag teams at risk based on past errors and scores—auto-assigning refreshers to de-risk milestones.
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:
Live readiness by site, team, and discipline highlights confusing content and summarizes insights in plain language for project leadership.
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:
Quantify fewer RFIs and defects, faster onboarding, shorter ECO cycles, and improved first-pass yield to sustain investment in capability building.
can drive your business outcomes.
Civil & Structural Engineering Firms
- Reduce RFIs by reinforcing drawing quality gates and checklists.
- Practice client review conversations with adaptive role-plays.
- Link training to rework cost and schedule variance.
MEP & Building Systems Engineers
- Standardize coordination workflows with microlearning and sims.
- Reduce site issues via field-readiness modules.
- Correlate learning to change orders and call-backs.
Product Design & Development Consultancies
- Accelerate design reviews with decision-note coaching.
- Improve prototype FPY via DFM/DFA refreshers.
- Demonstrate quality with consistent assessment records.
EPC & Industrial Projects
- Rehearse commissioning and outage scenarios safely.
- Standardize turnover documentation via checklists and assistants.
- Track readiness across contractors and subs.
Manufacturing & Quality Engineering Teams
- Lower escapes with inspection plan drills and image IDs.
- Shorten ECO cycles through change-control practice.
- Link training to scrap, yield, and downtime.
Controls & Automation Integrators
- Standardize PLC safety and startup checklists with assistants.
- Rehearse vendor FAT/SAT conversations via role-plays.
- Track readiness for site commissioning windows.
Energy & Utilities Engineering
- Strengthen safety culture with targeted modules and attestations.
- Simulate outage coordination and switching sequences.
- Correlate learning to incident rates and restoration times.
Aerospace & Defense Engineering
- Reinforce configuration control and verification flows.
- Use AI graders for consistent design review artifacts.
- Provide audit-ready training evidence across programs.
Medical Device R&D
- Align design controls and risk files with microlearning.
- Practice design review Q&A with adaptive avatars.
- Link training to defect trends and audit findings.
Semiconductor & Equipment Engineering
- Standardize lab safety and ESD with quick demos.
- Reduce bring-up time via assistant-guided checklists.
- Correlate learning to yield and tool uptime.