Virtual Training Platforms

We’re not going to solve a global healthcare shortage by thinking small. What’s needed now is scale. Reach. Systems that work anywhere, for anyone, at any time. Medical simulation that doesn’t sleep, AI competency training at the ready. The old way of training—waiting for access to a manikin sim lab, limited faculty hours, rigid curriculum windows—doesn’t match the urgency or scale of the challenge. Do not forget we are already short 400k nurses today, we expect one million to retire in 2030, and 50% quit their job within the first two years. We need: ↪︎Training environments that are always on—accessible 24/7, across devices ↪︎Simulation that adapts to learners in any location, language, or bandwidth ↪︎Platforms built to grow alongside the workforce demand, not lag behind it If we want to meet the moment, we have to think differently. Global problems demand scalable infrastructure and that starts with redesigning how we train our healthcare professionals. #HealthcareEducation #MedicalSimulation #ImmersiveTech #XRinHealthcare #HealthTech #GlobalHealth #nursing #nurse #simulation #VR #MR #XR #AI #leadbydoing #247sim VRpatients

The Bertrand Education Group (B.E.G) believes education should be as adaptive as the students we serve. 🚀 "Every student learns differently, but our system treats them the same." This insight drove the development of PrepAI's personalized approach to education. Our Impact in the $187B EdTech Market: 1. Personalized Learning at Scale: - Tailored pathways for each learner - 23% improvement in academic performance - Adaptive content delivery - Real-time progress monitoring 2. Empowering Educators: - 37% initial efficiency gains for teachers - Reduced administrative workload - Enhanced instructional focus - Data-driven teaching strategies 3. AI-Powered Assessment Innovation: - Generate adaptive assessments 12x faster - Reduce manual workload by 79% - Comprehensive student insights - Continuous improvement metrics 4. Global Access & Economic Mobility: - Implementation across U.S. and Indian institutions - Cross-cultural adaptability - Democratized quality education - Pathways to opportunity regardless of background In partnership with Microsoft for Startups and Qatar Foundation, we're transforming education through technology that unlocks human potential. What educational challenges do you believe AI can help solve? Share your thoughts below. #EdTech #AI #Innovation #PrepAI #PersonalizedLearning #FutureOfEducation

BEYOND MODERATION - THE HIDDEN POWER OF FACILITATION Facilitators matter more than most people realize. In every workshop, sprint, and strategic conversation, they quietly turn talk into traction—designing flow, building psychological safety, and steering diverse voices toward a shared outcome. Because great facilitation feels effortless, its impact is often underrated. Yet when stakes are high and complexity rises, a skilled facilitator is the multiplier that transforms ideas into decisions and momentum into results. 🎯 DESIGNER - Great facilitation starts with intentional design. Map the flow of the workshop or discussion with crystal-clear outcomes. When you know where you’re headed, you can confidently animate the session, guide transitions, and keep everyone aligned. ⚡ ENERGIZER - Read the room and manage energy in real time. Build trust and comfort with timely breaks, quick icebreakers, and inclusive prompts. When energy dips, reset; when momentum rises, harness it. Your presence sets the tone for participation. 🎻 CONDUCTOR - Facilitation is orchestration. Ensure everyone knows what to do, how to contribute, and where to focus. Guard against tangents, surface the core questions, and gently steer the group back to the intended outcome. ⏱️ TIMEKEEPER - Time is the constraint that sharpens thinking. Listen actively, paraphrase to clarify, and interrupt with care. Adapt on the fly in agile environments so discussions stay effective, efficient, and outcome-driven. ✨ CATALYST - Your energy is contagious . Show up positive, grounded, and healthy. If you bring light, the room brightens; if you bring clouds, the mood follows. Protect your mindset—it’s a strategic asset. 💡TIPS to be a great facilitator: Be positive and confident; Prepare deeply, then stay flexible; Design clear outcomes and guardrails; Listen actively and paraphrase often; Invite quieter voices and balance dominant ones; Use pauses, breaks, and icebreakers wisely; Keep discussions outcome-focused; Manage time with compassion and firmness; Read the room and adapt; Practice, practice, then practice again. 💪 #Facilitation #HR #Leadership #Workshops #EmployeeEngagement #Agile #Communication #SoftSkills #MeetingDesign #PeopleOps #Moderator #TeamDynamics #PsychologicalSafety #DecisionMaking

We created 5 startups in 60 minutes in a FULLY-ONLINE class with ZERO slides! That's 5 startups with a pitch video AND a landing page in just an hour! I conducted my first-ever online-only Entrepreneurship Workshop. From a personalized AI-stylist to a contact lenses cleaner for the lazy folks out there, we saw it all! While Universities struggle to create in-person engagement, I managed to do this fully online. Here's how: 1. The Right Tools ↳ It’s not about comfort ↳ It's not about debating over Zoom vs. Teams ↳ It’s about engaging students, even if there's a learning curve :) 2. Engagement Techniques ↳ Techniques and timing are key ↳ They must involve interaction and not information-delivery ↳ Student Engagement is a skill, not a mere role :) 3. Feedback (not AI-generated) ↳ Feedback has to be constructive ↳ NO to AI-generated feedback templates ↳ I was a student too. I paid too much money to deserve GenAI feedback. Don't be that person :) 4. Time Management ↳ Online sessions are "always going wrong" ↳ Spend time driving learning, not setting up ↳ Use no slides. You're to be focused on. Not the slides. Look at your students, not slides :) 5. Growth Mindset ↳ Encourage students to fail fast & frequently ↳ Create a safe space for them to try new things ↳ This applies to you, me and everyone else. In every context :) I'm building What's On! Campus to help University Academics engage their students better. Need help engaging your students? Comment or DM me.

Don’t blow your AI adoption plans with poor online training or boring one way videos. If you’re rolling out AI training virtually, your facilitators need more than subject expertise. They need to actually know how to train well online. Because here’s the uncomfortable truth: - Being great in a room doesn’t mean you’re great on Zoom or Teams. - Virtual delivery is a different skillset, a different rhythm, a different way of skill building. - And nothing kills AI confidence faster than a dull, passive virtual session. Strong virtual AI training needs: - Clear structure and tight pacing - High energy facilitation (without being cheesy) - Real interaction, not just breakout rooms or ‘any questions?’ - Smart use of tools, polls and getting tye group to share - A mindset shift from ‘I’m presenting’ to ‘I’m orchestrating’ If you want people to take AI seriously, make sure your trainers can deliver in the environment you’re asking people to learn in. Don’t teach the future with yesterday’s methods. Want to learn more? Click on the link in the comments to access our virtual trainer upskill programmes.

Don’t settle for a toy model. Distributed training is the key to scaling a prototype model to an enterprise model. But distributed systems have a lingo of their own. So here’s an intro. Distributed learning is the practice of training a single model using multiple GPUs or machines, which are coordinated to work in parallel by distributing the data, the model, or both. GPUs are processors with cores that are optimized for parallel computing, which is exactly what we want in distributed training. We want model training to happen in parallel. Parallelization strategies are ways to splits the task of training a model across different resources. 📊 Data Parallelism: Replicates the model, split the data. ✨ Model Parallelism: Splits the model's layers across GPUs. 🔩 Pipeline Parallelism: Splits the model, process it like an assembly line. 🧊 Tensor Parallelism: Splits a single layer's tensors across GPUs. But distributed training isn’t only about GPUs. Sometimes your model’s footprint may be too big for a single server (also called a node) or you may need more GPUs than a single server can hold. In this case, you would scale to multi-node training. The easiest way to scale your training job is to use cloud compute. These companies generally fall into a few categories (with some overlap): • Traditional Public Cloud: Wide array of services, including GPUs, as a small part of their overall infrastructure (e.g. Amazon Web Services (AWS), Microsoft Azure, Google Cloud). • Specialized GPU Cloud Providers: Focus exclusively on providing purpose-built GPU hardware and infrastructure for AI and machine learning workloads (e.g. Runpod, Lambda, Nebius, CoreWeave). • Serverless GPU Platforms: Platforms that abstract away infrastructure management, allowing users to deploy and scale models on-demand with a simple API call (e.g. Modal, Baseten). • Decentralized Compute: A network that pools computing power from a distributed network of individually owned machines to provide a collective resource (e.g. Prime Intellect). When you want to implement distributed learning in Python, you have several options. These frameworks fall into low- and high-level categories. Low-level frameworks like Ray (Anyscale), PyTorch, DeepSpeed.ai, and Accelerate (Hugging Face) serve as the building blocks of distributed learning, giving you maximum control, flexibility, and ability to customize your training pipelines. High-level frameworks like Axolotl and Unsloth AI specialize specifically in model fine-tuning, abstracting away the complexity of the lower-level frameworks. They make it easy to get started by providing ready-to-use solutions for specific fine-tuning tasks. There’s a lot more to scaling your model training than just this. If you’re interested in learning more, check out Zachary Mueller's course Scratch to Scale, which starts this September. 🔗 Scratch to Scale: https://lnkd.in/gKKuzaaH

𝗥𝗲𝗺𝗼𝘁𝗲 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 + 𝗥𝗲𝗮𝗹-𝗧𝗶𝗺𝗲 𝗗𝗮𝘁𝗮: 𝗧𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗮𝗹 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴? 🏭 Virtual training is transforming how industries approach complex operations. From mining to aquaculture, immersive simulation combined with live IoT data is transforming workforce development. Companies like Minverso are proving that plant process simulation isn't just about training — it's about creating safer, smarter operations across entire industries. 🎯 𝗧𝗵𝗲 𝗯𝗿𝗲𝗮𝗸𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵: ➡️ Immersive plant simulation — Practice every stage of complex processes virtually ➡️ Real-time IoT integration — Live data feeds from actual equipment and sensors ➡️ Zero operational risk — Learn dangerous procedures without real-world consequences ➡️ Faster learning curves — Visual, interactive training vs. traditional methods 🌊 𝗥𝗲𝗮𝗹-𝘄𝗼𝗿𝗹𝗱 𝗶𝗺𝗽𝗮𝗰𝘁 𝗮𝗰𝗿𝗼𝘀𝘀 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀: ➡️ Aquaculture: Simulate fish farming operations & water quality management ➡️ Mining: Practice equipment operation, safety protocols, emergency response ➡️ Manufacturing: Train on production lines, quality control, maintenance procedures ➡️ Energy: Simulate power plant operations, grid management, safety systems 🤖 𝗧𝗵𝗲 𝗴𝗮𝗺𝗲-𝗰𝗵𝗮𝗻𝗴𝗲𝗿: 𝗟𝗶𝘃𝗲 𝗱𝗮𝘁𝗮 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 When VR training connects to real-time plant data, trainees experience: ➡️ Actual equipment performance metrics ➡️ Real environmental conditions ➡️ Live system alerts and responses ➡️ Decision-making with real consequences (virtually) Why this matters: Traditional training teaches theory. VR + IoT teaches reality — without the risks, costs, or downtime of on-site practice. The future of industrial training isn't just virtual. It's virtually connected to the real world, creating workforces that are prepared for anything because they've already experienced everything.

Custom GPT is one of the most underrated features in ChatGPT, yet it offers powerful possibilities for teachers! Instead of jumping between prompts and re-explaining your context every time, you can build your own AI assistant that remembers your teaching style, goals, and classroom needs. With a Custom GPT, you can: 1. Upload your own materials: lesson plans, rubrics, curriculum standards, even sample handouts 2. Generate lesson ideas, quizzes, and discussion prompts tailored to your subject and students 3. Provide writing feedback aligned with your grading criteria 4. Support differentiation by quickly adapting tasks to different learning levels 5. Streamline your workflow so AI fits smoothly into your pedagogy In the guide I’m sharing today, you’ll find step-by-step instructions on how to set one up, examples of how it can look in practice, and ethical considerations to keep in mind. #CustomGPT #AIforTeachers #TeachingWithAI #EdTech #AIinEducation #TeacherResources #DigitalTeaching #AIIntegration #ClassroomAI #EdLeaders

I’ve trained 2,000+ people using remote workshops in Miro. Here are my best practices to keep large, complex sessions organized (instead of chaotic): ✅ 𝐏𝐫𝐞-𝐨𝐧𝐛𝐨𝐚𝐫𝐝𝐢𝐧𝐠 𝐦𝐚𝐭𝐭𝐞𝐫𝐬 I always send a short video + Talktrack before the session. Participants learn the basics of Miro so we don’t waste time troubleshooting. ✅ 𝐋𝐨𝐜𝐤 𝐚𝐧𝐝 𝐡𝐢𝐝𝐞 𝐬𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐜𝐚𝐥𝐥𝐲 Only show elements they need at the moment. Keeps the board clean and prevents accidental edits. ✅ 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐜𝐡𝐞𝐜𝐤 = 𝐢𝐜𝐞𝐛𝐫𝐞𝐚𝐤𝐞𝐫 We solve Miro logins, permissions, and “where do I click?” questions before we dive into strategy. ✅ 𝐁𝐨𝐚𝐫𝐝 𝐝𝐞𝐬𝐢𝐠𝐧 𝐟𝐨𝐫 𝐯𝐢𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐲 I structure boards so I can see all teams working in parallel — makes facilitation 10x easier. ✅ 𝐎𝐧-𝐬𝐢𝐭𝐞 𝐬𝐮𝐩𝐩𝐨𝐫𝐭 𝐰𝐡𝐞𝐧 𝐩𝐨𝐬𝐬𝐢𝐛𝐥𝐞 An organizer in the room can handle tech hiccups without interrupting the flow. ✅ 𝐍𝐚𝐯𝐢𝐠𝐚𝐭𝐢𝐨𝐧 𝐭𝐨𝐨𝐥𝐬 “Bring everyone to me” and “Follow” buttons are lifesavers when people get lost. I recently used these steps in an 8-hour GTM Power Hour workshop with 15 companies. 👉 Want these frameworks to run your workshops? Get the Go-to-Market Blueprint I co-created with Miro: https://lnkd.in/ditgkh26 Curious: What are your go-to practices when running remote workshops in Miro? #miropartner #miro

This is the best solution for e-learning: (Perfect for post-pandemic home schooling) Most online learning platforms miss the point. Not the UI. But the actual learning experience. We recently built an e-learning concept in our R&D. And we tested a few unorthodox ideas. Here are 3 things we explored: 1. Emotion-driven progress nudges Most progress bars feel cold. So we added encouraging, human-toned messages. 💡Example: “Only one more chapter to go, you’re closer than you think.” This small tweak boosted course completion by 22%. 2. Try-before-signup learning modules Most platforms gate everything behind a signup. We flipped it. Let users try a full module before registering. It reduced bounce rate and increased trust instantly. 3. Gamified peer challenges We introduced real-time peer quizzes inside virtual rooms. Not just passive learning, but active, social learning. 💡Result: Time spent per session jumped by 37%. Good UX isn’t just clean visuals. It’s about unlocking motivation. You make learning feel easy. They stay longer and learn deeper. Everyone wins. Which one would you implement first?