Opportunity. Today, that bridge is being rebuilt. Technology is accelerating, jobs are transforming, skills are evolving. But what if the same force driving this change could also be the solution?
A new chapter begins.
Not where AI replaces our ability to learn, but where it scales our potential.
Creating learning that is designed for the individual, adaptive to their needs, and directly connected to their future.
This isn't just a story about technology. It's a story about people and technology. Our partners, our customers, our learners. A community uniquely positioned to solve this challenge. Welcome to the future of learning, a future we will build together. Welcome to Coursera Connect.
Good morning, everyone, and welcome back to day two of Coursera Connect. Whether you're here with us in person or joining us live from around the world, welcome. We're thrilled to have you with us for another exciting day. To our virtual audience, thank you for tuning in. We'll be streaming live from now through the end of this morning keynote, and we're so glad you're part of the experience. I hope everyone enjoyed a full and energizing day one, and maybe even discovered some hidden vocal talents at karaoke night. I did not participate. Yesterday, we explored bold ideas around purpose, AI, and access. And today, we'll continue that momentum with a focus on transformation. You'll hear from voices across education and industry who are actively building the future from skill-based strategies to innovative credential models and learner-centered design.
And to kick us off, I'm excited to welcome someone whose leadership has helped shape much of what you see and experience here at Coursera. Please join me in welcoming our Chief Content Officer at Coursera, Marni Baker Stein.
Good morning, everybody.
Good morning.
Welcome to day two. First, a big thank you to everyone who joined our spirited karaoke party last night right here on this stage. Woohoo! I love seeing y'all here singing your hearts out together. And honestly, that's what makes Connect so special. It's not just the exchange of ideas, but those joyful human moments we get to share together this time of year. As Vic Strecker told us during his keynote, purpose fuels resilience and performance. And I believe that purpose shows that both in our collective mission-driven work and those playful moments like last night. So thank you. And thank you for bringing that energy with you today. I think we're all set up for a great set of sessions ahead. Yesterday set the tone for everything we're building together. Greg invited us to imagine a skills-first future in the age of AI.
Vic reminded us, and I loved his session yesterday, that innovation without human meaning falls short. And Andrew Ng opened a window into what's next as AI reshapes learning, skills, and opportunity on a global scale. Beyond the main stage, the conversations in the hallways and at the reception showed the same thing. Connect is not just about ideas. It's about community. Yesterday reminded us of the extraordinary commitment, creativity, and unique expertise in this room. It's that same energy that will carry us from inspiration into action today. Action. I want to take just a few minutes to frame through the lens of our content North Star. Coursera's content strategy is simple to say, but really ambitious to deliver. A skills-first, career-aligned experience that helps people prove what they can do and advance their careers as they're doing it with confidence.
Our North Star is to power a content engine that is skills-first. Every course and every credential tied to a shared career graph, from broad domains to very specific skills, so learners, institutions, and employers can navigate with confidence. A content engine that's modular by design, that has short, high-quality learning units that stack into skills tracks and certificates and career-relevant credentials. This gives us the flexibility to serve both consumers and enterprises without having to reinvent the wheel. We want to build learning experiences at Coursera that are verified and meaningful. Assessments that confirm what learners know, roll into clear milestones, and send signals that both learners and employers can trust. And we want to drive experiences that are AI-native and multilingual, content optimized by AI for interactivity and feedback, and made instantly global through high-quality dubbing and translation.
Finally, we want to optimize the enormous breadth of our content with much better search and discovery, so the right learner can always find the right skills and the right learning program at the right time. This is our direction of travel, moving from a static catalog to a living ecosystem where every asset is reusable, it's verifiable, and it's connected to outcomes. You'll see this strategy come to life throughout day two. We're going to begin with Greg Hart's keynote on how we deliver accessible, equitable, future-ready education together. Then I'll join our new Chief Product Officer, Patrick Supanc, along with content partners and enterprise customers to explore personalization and the evolution of online learning. After that, we're going to dive into a conversation on the future of credentials, what makes them truly valuable to learners and employers in an AI-powered world.
From there, you'll head into breakouts tailored for business, government, and campus, as well as content communities. This afternoon, don't miss the Learning Expo where strategy meets application. In the lab, you'll find live demos of AI-native design and optimization. In the quad, you're going to hear from peers who've achieved success with authoring, interactive learning, and other Coursera capabilities. And in the lounge, there's space to turn hallway conversations into pilots and partnerships. And truly, if history is any guide, you'll leave with practical ideas and new connections. And finally, tonight, we close with one of my favorite moments of Connect, the awards dinner, where we celebrate the creativity, innovation, and measurable impact of this really powerful community.
As in sessions, hallways, or even just standing in the coffee line, please ask someone today, what's one thing you think every learner in your world should be able to verify in the next year? And what's one step we can take together to make that real? Think of today as a living laboratory where we can share ideas, we can become clearer on the patterns that we're all seeing, and we can build learning together that is deeply valuable at its core. You're the right people shaping what's next in education and work. You're not just imagining the future. You're building it right here together. Let's keep that energy going. And know this, as a leadership team at Coursera, we're fully aligned behind this vision. We're doubling down on what matters most, helping learners thrive, and helping you, our partners, and our customers succeed.
You'll see that commitment reflected in our product, our content, and in the way we show up to support your goals. To open that conversation, I'm thrilled to welcome someone who has been a driving force in this work, our CEO, Greg Hart.
Thank you, Marni. And on behalf of everyone at Coursera, welcome to Connect 2025. Whether you've traveled to Las Vegas or you're joining us virtually from around the world, thank you so much for being here. So as Coursera's new CEO, I'm deeply grateful to be part of this global community of customers, educators, and leaders. What makes this gathering so special is the mix of perspectives that you all bring, each shaped by the realities of your own institutions, your regions, and your communities. And what unites all of us is a shared commitment. How can we help the world's learners master the right skills they need to grow their careers and thrive in a world that's being transformed by AI? Over the next 50 minutes, I want to discuss three points.
First, the problem, why access to learning has to scale to meet the growing global demand for skills. Second, the progress, how the Coursera ecosystem is helping us expand access to job-relevant skills, and then finally, the innovation, new products, new content, and powerful stories that show what's possible when we combine technology, expertise, and imagination, but before we look ahead to the future, I want to take a moment to remember where we started, so this is my first time here at Connect, but many of you have been part of this journey from the very beginning, and some of you may even recall back in 2013 when our founders, Andrew Ng and Daphne Koller, hosted the first Coursera conference at the University of Pennsylvania, and even then, they recognized the power of bringing this community together. Back then, leaders from top universities grappled with urgent questions.
How would online courses change higher education? What would that mean for access? We've come a long way since then. Over the years, the places where we've met have changed, but the world around us has changed even more. Cloud computing and mobile adoption have exploded. Machine learning unlocked breakthroughs in everything from search to personalized recommendations. In 2020, nearly every university in the world had to shift to remote learning virtually overnight. Through each of these seismic shifts, the Coursera community has helped learners and institutions adapt, driven by our shared belief in the transformative power of education. This is a critical moment and an opportunity for our community of customers, partners, and instructors. You're on the front lines, helping your employees, students, and citizens navigate change and disruption. Until recently, the fear of automation was about what might happen.
Now, it is happening, with fewer entry-level jobs and many employers planning to reduce roles as AI automates tasks. And as technology, economic uncertainty, and demographic shifts reshape the global labor market, one thing is abundantly clear. Education is how people will find hope and opportunity amidst rapid change. That change is being driven by the incredible acceleration in the pace of digital transformation. Here you see the time it took different technologies to reach 100 million global users. You've got electricity at 70 years. You've got the mobile at 16 years, the web at 7 years, and then you have the outlier on the far left, ChatGPT. When ChatGPT launched back in November of 2022, it reached 100 million users in just two months. And that is the fastest adopted technology in history. And in July of this year, it passed 800 million weekly active users.
So what are the implications of this unbelievable acceleration? It means that people have to adapt by learning new skills. And we see that urgency reflected in the sustained demand for GenAI learning on Coursera, which I'll touch on a bit later. This change has real impact on the skills that are needed in the workforce. The World Economic Forum's Future of Jobs report projects that 39% of key skills will change by 2030. So we have to give people the tools that they need to learn those new skills. And because GenAI is profoundly reshaping the labor market, it's creating a massive reskilling challenge. If the global workforce were 100 people, 59 of them will need retraining by 2030. But because of limited access, 11 are unlikely to get retrained.
On top of that urgent need to reskill people, we also have close to 2 billion people coming online in the next five years. That's going to require us to dramatically expand access to affordable, job-relevant education so that they can participate in the global economy. Around the world, the average gross enrollment ratio for higher education is just 43%. That means that millions of learners around the world aren't currently enrolled in traditional college programs. The countries in dark blue here are where the situation is the worst, with just 10% participation. Sometimes that barrier is cost. In other cases, it's the lack of infrastructure, too few classrooms, or too few instructors. For many, it's skepticism that the degree they're working towards may not lead to a job. It's a deeply complex problem.
But it's one that this community in this room is uniquely positioned to solve together because we have the right tools, the right partners, and the right platform to deliver. So let's start with the progress that we've made before we then turn to the new content, partnerships, and products that'll shape what's next. At Coursera, everything we do for learners starts with content. Content is the engine of our business. We now have more than 10,500 courses across a broad range of domains. And that content is what attracts and serves our learners and customers worldwide. We now have 183 million registered learners around the globe. And then on the enterprise side, institutions are increasingly turning to Coursera for workforce transformation. We now have more than 6,500 customers across a range of different businesses, governments, and institutions.
All of those learners and enterprise customers are taking advantage of our incredible network of trusted content partners. We have nearly 7,000 instructors from more than 350 different university and industry partners. Our platform brings all of that together, our content creators, our learners, and institutions in one unified system. That system enables transformation on a personal and business level for our learners and customers around the world. Now, let's turn to the topic du jour, GenAI, which is driving unbelievable demand across every part of our ecosystem. What we're seeing on Coursera mirrors what employers around the world are telling us. AI skills are essential. In 2023, learners were enrolling in GenAI courses on Coursera at the rate of one per minute. So far in 2025, that number has surged to 13 enrollments per minute, making GenAI the most in-demand skill in Coursera's history.
We're still far from the peak. A few factors are fueling this extraordinary growth. Of course, there's the intense media attention, as well as the rapidly changing nature of our jobs. We now offer more than 1,000 courses ranging from beginner level, like Generative AI Essentials from the University of Michigan, to role-specific training, like ChatGPT for Project Management from Vanderbilt University. And I want to thank all of our amazing university and industry partners. Your speed, creativity, and expertise are enabling us to meet demand from the learner side and from our enterprise customers at a pace that we've never seen before. We're seeing this incredible momentum across our entire catalog. Over the past year, we've added 36% more courses. That's a faster growth rate than we've seen in the last five years.
Top new tech courses teach today's most in-demand skills, like Google's Introduction to AI and Adobe's Design Fundamentals with AI. Another major trend is the sustained demand for micro-credentials, or professional certificates, as we call them on Coursera. Employers are more likely to hire candidates with micro-credentials, and universities are increasingly offering credit for. Since last year, we've added more than 50 certificate programs from leading industry partners, including IBM, Microsoft, and Amazon. And today, I'm proud to announce six new professional certificates from leading partners, including AAPC, EC-Council, and Microsoft. These certificates expand opportunities in fast-growing fields like information security, medical billing, and programming. And none of that growth would be possible without our expanding network of university and industry partners.
I want to thank all the partners who've joined our community since the last Connect, including leading institutions like the University of Cambridge and Heriot-Watt University, as well as innovative industry partners like Adobe, Google AI Quantum, and Nestlé. Along with so many others across industries and regions, these partnerships enable us to continue expanding into new fields and reaching new learners. Today, I am thrilled to welcome 10 new university and industry partners to the Coursera community. This group reflects incredible diversity and expertise across domains, including leading universities like UC Santa Barbara, University of the Arts London, and Universidad Politécnica de Valencia, as well as global institutions and industry leaders like the ISSA and AAPC, along with Pearson and Skillshare. I'm also incredibly excited to announce our partnership with Anthropic, one of the world's leading research companies.
Together, we'll make it easier for learners and institutions to apply the latest advances in AI safely and effectively, unlocking new ways to learn, teach, and work. This partnership builds on our commitment to bring trusted, cutting-edge AI skills to every corner of the world. I'm deeply grateful for our growing ecosystem of partners and excited for the impact we'll make together. So we've talked about the progress. Now let's talk about what's next. I had a career launching and scaling products that transformed how people interact with technology and media. At Amazon, I led the creation and launch of Alexa from the ground up, and then grew Prime Video into a global streaming service. And what I find most rewarding is turning bold ideas into products that shape everyday life and deliver long-term customer value. That experience fuels my work here at Coursera.
That's so critical because the mission that we are on has never been more urgent. AI is reshaping how people expect to learn and also what's possible in online education. Coursera is uniquely positioned to lead this transformation. It all starts with skills. When people come to Coursera, they're not here to learn just for the sake of learning. They're here to change their life. For many, that starts with their career. Their number one motivation is gaining and mastering the skills that they need to unlock a new opportunity, step into a better role, or secure a stronger future. When I think about learning, I think about how we deliver skills. It's the foundation of everything that we do. Skills are what people want to learn, but how they learn is changing. AI is enabling a much more adaptive approach.
First, no two learners are the same. Some are learning on the job, while others are coming online for the very first time. They bring different backgrounds, preferences, and starting points, but they all share the same objective: progress. So our job is to understand and guide them to the right courses that are delivered in the way that best fits their learning style. Second, learning should start from what someone already knows. A seasoned learner shouldn't have to sit through content that they've already mastered, while someone deserves extra support and context. And with AI, we can pinpoint skill levels and guide each learner to the right place, whether that means jumping ahead or revisiting the basics. Third, personalization is no longer a nice-to-have. It is a baseline expectation. The learning experience needs to adapt to each learner and not the other way around.
With AI, we can now deliver this type of dynamic, personalized support at global scale. Fourth, the format must adapt. Learners expect to switch seamlessly between different modalities: listening to audio on a commute, reading on a couch, or watching videos at a desk. AI allows us to meet learners where they are, in the right format, at the right time, and finally, to make all of this possible, content must be modular. Modular content is far easier to personalize by length, format, and language, and it can be reused across lessons, courses, and certificates, scaling both your impact and your reach. Delivering on this future requires bold product innovation, where we experiment, launch, and iterate faster than ever before, and that's why I'm so excited to welcome Patrick Supanc, who joined us in June to lead product here at Coursera.
Patrick brings a deep passion for understanding and solving challenges for our learners, customers, and partners. He and his team are focused on building with a customer-first mindset, ensuring that our products meet people where they are and evolve with their needs. I'd like to invite Patrick up to the stage to share how we're approaching this next chapter of product innovation and making learning more impactful for our learners, partners, and customers worldwide.
Thank you, Greg. And hello, everyone. Good morning. I'm thrilled to have joined this amazing community. I've worked at the intersection of technology and education long enough to remember the moment when Coursera launched and how it unlocked a step change in global access to high-quality learning. Today, I firmly believe we have another impactful moment: leveraging AI to accelerate skills-based learning at unprecedented personalization, effectiveness, and scale.
The idea that technology can help us achieve those goals is not a new one, but the rapid improvement of AI makes them more attainable than ever. That said, inventing great learning products does not start with technology. It starts with listening to the needs of our community. So I'd like to begin with what this community has taught me over my first months at Coursera. Let's start with what we're hearing. Greg just mentioned 86% of learners come to Coursera to transform their career. They want to spend their limited time studying what's highly relevant to the job they have or the job they want. They want opportunities to practice and master necessary skills in realistic scenarios that mirror real work.
And they want an experience like it was built for them, with greater clarity on where to start and what to learn next, in a format and on the device where they learn best. As learner expectations change, it's no surprise our content creation partners need to quickly adapt to retain attention. They want us focused on making it more efficient to create new content with better insights and tools, while also maintaining the highest standards for instructional fidelity. They need more options to capture the attention of today's very distracted learners and look to Coursera to help them build experiences rich in interactivity, variety, and immediate personalized feedback. And finally, they want our help in making it easier to update content and keep it aligned to fast-changing skill needs and tasks. Our enterprise customers are on the front lines of the skills revolution.
As Greg mentioned, GenAI and other advancements are fundamentally changing the market, and the need for reskilling has never been more urgent. You've told us you need skills development that reflects the changing tasks and contexts that teams must navigate in their work. You want to trust that a skill mastered and credentialed on Coursera will translate to equally successful application and outcomes on the job. You require clear evidence that skills and their impact are improving access across your organization and that each team in every occupation tailored program to meet that goal. As we head towards 2026, our roadmap is focused on accelerating three key areas, each directly shaped by what we've heard from you and the opportunities discussed this morning. First, we're working with AI to make it easier for learners to quickly find what's most relevant to their skill needs.
After they've completed that first learning experience, they'll find clear career-mapped recommendations on what skills to learn next. We'll also expand the breadth of interactive learning experiences that engage and sustain learners with personalized feedback and realistic context. We're introducing new tools that enable course creators to not only build great content, but continue to update and optimize them. We're also enabling smarter content ingestion at scale across a range of formats and standards, workflows that make it easier to create authentic GenAI-powered learning experiences. Finally, we're accelerating the development of skills-first programs that are anchored on our career graph and rich and applied learning activities and task-based assessment. It's an effective combination to forge stronger connections between learning, skills, and work.
We're deepening our integration with applications enterprises rely on to support workforce development, from the HR system to your LMS to custom agents and LLM-based tools you might be building in-house. My team is to share what we're building for this community, and now it's time to do just that. I'll be back a bit later to share an exciting new skills-first product we're announcing here at Connect. Again, thank you for welcoming this incredible community, and I'm going to turn it back to Greg. Thank you.
Thank you for coming to see where we're headed. Now, I want to show you how we're making important progress towards that vision today.
First, I'll share updates on a few key products that are already driving real impact, and then with the help of our incredible product team, we'll give you a preview of some of the new innovations that we're announcing today. Let's start with Course Builder, which we launched in 2013 to help our enterprise customers create high-quality content faster, which is obviously a critical need in today's fast-changing world. Course Builder designs courses at scale. But what's distinctive about Course Builder is that it recommends content from Coursera developed by some of the world's leading universities and companies. And so that enables organizations to build tailored learning experiences that combine the best of the Coursera catalog so their employees, citizens, or students gain the right skills and the right context to apply them. Massive unlock for our customers. Course Builder is even more powerful.
Now, you can start from scratch with just a course idea, no outline or material required. You can import existing materials using standard formats like Common Cartridge. You can get real-time guidance from an AI-powered instructional design coach. You can integrate hands-on learning experiences like Dialogue. And finally, you can incorporate AI-graded questions into your assessments. Course Builder saves time by allowing anyone to create content. But what I find isn't the speed. It's the precision, relevance, and the ability to customize content. Enterprises can develop training programs aligned to the skills and outcomes that they care about most, grounded in the context of their organization. And because it's built on Coursera, they can tailor those for individual teams or deploy across their entire organization. Course Builder helps our customers build faster, build smarter, and deliver learning experiences like never before.
Today, I'm excited to announce that Course Builder will soon be available to our university with several enhanced features. I'm thrilled to invite Kari Hedberg from our product team to demo that experience for you.
Thank you, Greg. It is wonderful to be here. Yes, that's exactly right. The enterprise experience centers on creating content. Course Builder for partners makes it faster and easier to author content for Coursera's global learning catalog. Every feature that I'm about to show will soon be available to all authors, both enterprise and partners, with speed, simplicity, and pedagogical excellence in mind. Only insights from Coursera's extensive learner base. Course Builder makes creating courses easier from the very first step. Authors start by selecting from two options: build a new course from scratch or import content from other sources, like your preferred learning management system.
We'll select the first option and use AI assistance. This next step is completely optional. If you don't have files to upload, you'll need to enter details manually. But if you do have existing resources, it gives the AI something to work with. You can upload files like an outline, video, or PDF document. And just like that, based on what we've uploaded, Course Builder has already generated this editable outline that includes modules, topic descriptions, and grouped learning objectives. This step alone reduces hours of upfront work, saving you time while still ensuring that the course is structured for learner success. And to serve your global audience, you can now select from a list of 59 available languages. Selecting the language here will update the generated outline as well as all course content that shows here on the right.
You can then refine your outline with proactive, pedagogically sound suggestions from Coach. So in addition to serving our learners, Coach has now evolved to bring instructional design expertise to our course authors, bringing you that AI-powered speed and precision. So here you can see Coach has made some suggestions. But as the author, you are always in control, free to accept or dismiss those suggestions or continue to revise to make sure that it matches your vision. Customers love that Coach is embedded directly within the authoring workflow, providing actionable feedback and seamless iteration all in one place. That's a suggestion. That update is applied instantly, guiding you directly to the next one. You can continue to review these individually or save time by accepting in bulk. You can then continue to chat with Coach here about the outline or move on to review the course content.
All the videos, readings, and activities shown here were created on your uploaded files or generated based on your outline. Coach is here again with helpful AI-powered suggestions on ways to strengthen your course content. In this example, Coach is recommending splitting one of your uploaded videos into shorter chunks. From research, we know that shorter videos, ideally three to six, are more effective at maintaining learner attention. And with the new content splitting feature, adjustments can be applied immediately. Coach can also recommend and generate new items, like one on building pivot tables. Adjustments and improvements are easy. Active practice can be directly added into the reading. So in this scenario, after chatting directly with Coach, your reading was automatically updated with a code block on building a pivot table in Python.
In addition to reading items, we're also working to enable Coach to generate new items, dialogue, and role play. More about these in just a few minutes. After refining the course content, the graded assessments, final exam, quiz, Coach has made some targeted recommendations based on learning design principles. Here, to end module one, Coach is recommending adding a quiz, and to save you time, it already has questions based on your course content, as well as a suggested rubric per question, designed to help you grade fairly, and Coach can help you ideate as you build out your assessment, like adding in a few more questions based on a specific topic. In no time at all, you have more options to select from. This helps streamline the process currently required to build an assessment from the ground up.
After finalizing the assessment, your course is ready for review and launch, and learners can get started immediately. Course Builder helps you deliver high-quality courses faster with AI-driven outlines, expert guidance from Coach, and tools to strengthen your content, engagement, and assessments. It streamlines the entire authoring process so that you can focus on what really matters: creating impactful learning experiences, launching quickly, and scaling your impact globally. We have over 30 partners in our pilot, and they're excited to use Course Builder to help them tailor their content. In addition to what I demoed, we are also working on smart ingestion for Common Cartridge courses. Use AI to seamlessly import courses from other sources. We're learning a lot and iterating quickly based on all of their great feedback, and now I'll turn it back to Greg.
Thank you, Kari. Now let's talk about increasing global access.
In 2023, we launched to make learning on our platform more accessible for learners around the world. AI has reduced the cost of translation by orders of magnitude, and that has enabled us to scale this experience and help your content reach more learners in more languages. We continue to invest, improving the speed, quality, and reach of our AI translations. Half our catalog is now available in multiple languages, enabling more than 50% of the world's population to take a course in their native language on Coursera, and these enhancements are already driving results. Learners tell us that they prefer this learning experience because it helps them complete courses faster, and it's benefited their career, so AI translations were just the first step. The next frontier is AI dubbing, which helps bring native language learning to life.
I believe you have to see this in action with our co-founder and one of the world's leading AI experts, Andrew Ng. Say hello, hola, bonjour, and hallo to learning in your language on Coursera. 100 AI-dubbed courses from IBM, Microsoft, and DeepLearning.AI. AI is changing the way we work and live. To Spanish. La IA está cambiando la forma en que trabajamos. French. L'IA change notre façon de travailler et de vivre. Or German. KI verändert, wie wir arbeiten und leben. Enjoy seamless AI dubbing with matching subtitles and select courses as you gain essential skills and valuable credentials for high-demand career fields. Get learning that speaks your language on Coursera. Merci, Andrew. That's amazing to see, isn't it? We launched AI dubbing in April with 100 courses, and by the end of this year, we're going to have 1,000 courses.
That kind of scale is only possible because of the partners in this room, so thank you to INSEAD, Gunford, Microsoft, IIM Ahmedabad, and so many others for helping us deliver this. As always, we're continuing to make it better. We've improved voice quality and intonation so that it naturally more reflects. Learners who need translated content prefer dubbing to subtitles, and that's because it improves their learning experience, which, of course, is our aim. Now I want to shift to how learners discover content on our platform. Most people come to Coursera to grow their career, but many don't know where to start or what skills they need. Career-based discovery addresses that. It transforms Coursera from a catalog into a compass, helping every learner find the right path forward.
So now when someone signs up on Coursera, they take a short onboarding quiz about their career goals, and that allows us to deliver more relevant, personalized content recommendations. This is especially important because about half of Coursera's learners are interested in multiple roles. So by helping them explore more options, we can help them find the right career. And to make these recommendations even more meaningful, we've added 500 more jobs to this experience and mapped 2,000 job-relevant skills to the content that teaches them. And when learners see that clear connection between learning and career progression, they're more likely to enroll. As learners find those right pathways, the next step is proving what they've learned and giving employers and institutions confidence in those skills. AI helps us uphold rigor and verify authentic learning, increasing the value of online credentials for institutions, employers, and learners.
That's why we're in this area. Over the last year, we've improved our suite of academic integrity in three ways. First, we streamlined instructor content to make academic integrity features easier to implement in entire enterprise programs. Second, we launched the Show Your Work tool. And finally, we debuted Coursera Proctoring, which is completely free to help institutions protect high-stakes assessments at scale. It's working. These tools have promoted learning in 9.3 million course completions, and they've substantially reduced low-effort completions, plagiarized responses, and misconduct. We're building a system where trusted, verified learning can scale just like the technology. Now let's focus on how we're making learning more interactive with Coursera Coach that's grounded in high-quality course material from top institutions. Coach has personalized tutoring to meet millions of learners to help them succeed. Since its launch, we've made several improvements.
Coach is now integrated into 97% of the courses in our catalog, providing in-the-moment educational assistance. And it's available in 26 languages, helping learners engage more deeply in their native tongue. Coach now has persistent memory understanding, enabling it to provide smarter, more relevant responses. Coach has 90% of learners report that they have an improved learning experience, and more than 1% say that Coach has benefited their career. We're also seeing higher quiz pass rates and learning efficiency. That impact is being recognized. Coach recently won the Newsweek AI Impact Award for best outcomes in education. And what's particularly gratifying is the impact that Coach is having on the playing field for everyone. Coach is more likely to be used by those early in their career, those without a degree, or women. Now let's look at dialogue, which enables instructors to build an immersive learning.
Dialogue is powered by Coursera Coach, and it brings in-classroom teaching methods to online. Scaling Socratic dialogue gives new ways to engage directly. Instructors can tailor dialogue to their learning experience, their teaching style, and their assessment criteria. Dialogue now supports helping learners practice soft skills in their native or preferred language. Its enhanced app makes that guidance more personalized and effective. Since its launch in April of this year, Dialogue has already made big strides. It's now available in 1,200 courses, and 80% of learners say they're satisfied with the experience. Dialogue is already transforming with course material. Now our new interactive course activity called Role Play will take that even further. I'm excited to welcome her to demo that for us. Thank you, Greg. Earlier, Greg mentioned the importance of learner engagement in online learning.
I've heard the same ask from both learners and educators for more personalized, interactive, and applied learning, especially for soft skills. Role Play brings concepts to life through AI-driven simulations. Learners can apply what they've learned in real-life situations. Now, videos and readings are great teaching tools, but Role Play brings it a step further. It enables you to transform this content into personalized, interactive practice scenarios, and I am so excited to show you how it works. Coursera's new course activities, Dialogue, and Role Play combine our AI with your course content and expertise to make learning more tangible and relevant. Dialogue lets you scale one-on-one conversations with learners by creating your own AI-guided discussions. In a Dialogue, Coursera Coach, our AI guide, acts as your proxy, leveraging your inputs and real-world examples. It clarifies key concepts for learners by asking open-ended questions and providing personalized feedback.
Today, let's focus on Role Play, where learners can apply their knowledge and skills in simulations with AI personas. Now imagine a learner assigned a data fundamentals course by their employer to develop skills in analyzing and interpreting data. In the Role Play, they can practice presenting their findings from a customer retention insights analysis course. The activity personalizes the experience by incorporating a video they recorded for the project. When they're ready, they can click Get Started, and the simulation begins. Here, the AI persona, Jordan, the VP of Operations, starts by asking questions about their analysis using their project recording. A list of tasks appears on the right-hand side, guiding the learner to demonstrate their skills in a job-related context. Once they effectively present their findings, the task gets marked with a checkmark, providing a sense of progress.
Now, if the learner ever feels uncertain, like when challenged to explain their approach, they can always click Hints for real-time support without disrupting the experience. Now that the learner is unblocked, they can proceed with the Role Play, and after completing all of their tasks, they'll receive a performance summary highlighting their strengths and areas for improvement. Now that you've seen Role Play through the eyes of a learner, let's walk through creating your own. Now, as a curriculum manager, you've created a data fundamentals course to train learners in key data analytics concepts. Your preceding videos and readings act as the foundation in the background that the AI uses to help learners master these skills. Now, you can put a Role Play anywhere within a course, but it is part of the module so learners can apply what they've learned.
Let's click into the customer retention insights sample to see how it's built. In this activity, you, the author, define the scenarios and tasks for learners, such as presenting key findings and translating insights into business impact. In the title of the AI persona, here we have Jordan, the VP of Operations, and you can enhance the behavior to enhance authenticity and ensure a collaborative interaction. You can also allow projects they've completed in your course. Really anchoring the Role Play in the learner's own work makes it relevant. Now, scenarios and tasks are defined, you're going to need rubrics to inform the AI's hints and feedback for learners. You can click Generate Criteria to use AI to rubric. This will save you time and effort, and you can always edit. Now that all the fields are populated, you'll see a productivity on the right-hand side.
This lets you test and fine-tune the Role Play. And when you're ready, you can click Publish to set it live. As learners engage in the activity, you can analyze key metrics like duration, drop-off, and completions to assess impact and assessments. Here, it looks like learners are spending more time in the activity, a clear sign of deep learning. Role Play enables you to create personalized, interactive practice scenarios driven by AI, keep you motivated and prepared for real-world challenges. Role Play will be available next with features like AI-generated rubrics, analytics, and integration of prior projects in the months ahead. We are so excited for you all to try Role Play in your courses. Thank you. Thank you, Michele. Now I want to turn our focus to workforce learning at scale.
As jobs evolve faster than ever, companies are asking, how do we equip entire workforces with the skills that they need, not just for today, but for what's coming next? At Coursera, this is where we see extraordinary impact. With our global reach, trusted content, and AI-powered platform, we're helping organizations deliver ongoing mandates. Over the last year, more than 900 organizations have chosen Coursera to help transform their workforce learning. We've expanded our partnerships across businesses like Samsung, IKEA, and Broadcom, governments like the Republic of Kazakhstan and the New York State Department of Labor, and campuses, including Lyceum of the Philippines University and the University of Texas System here in the U.S. Together, we're making job-relevant skills more accessible and building a future where learning drives opportunity at massive scale.
I'm also excited to welcome these new customers today from leading global brands like SiriusXM, Brown Brothers Harriman, and Tigo Paraguay, to innovative universities such as Adamson University, the University of Hail, and Charotar University of Science and Technology and finally major institutions like Uzbekistan's IT Education Association and the Association of Regulatory Banks in the Dominican Republic. This growing community reflects the incredible breadth in industries and regions turning to Coursera for workforce transformation, but it's not just about our growing adoption across industries. It's how those institutions are deploying Coursera to accelerate their strategy and better compete in a changing world. I want to share a few examples. Moderna is a global pharma leader at the forefront of the biotech industry and mRNA science.
To address the need for comprehensive GenAI training, Moderna made AI learning accessible to all 5,600 of their employees, helping them turn AI theory into practical, actionable skills. And so far, employees at Moderna have invested about 10,000 learning hours in AI skills. What's really striking is that completion rates are 240% higher than the industry benchmark. And that's led to a 30% increase in knowledge of AI skills at Moderna. Next, let's talk about iPeople, a group of educational institutions in the Philippines. They want to ensure that every student, regardless of their major, is job-ready. So they offer four-credit courses and micro-credentials. And that ensures that students are extremely motivated, driving high volumes of learning. To make that learning credible, scalable, and personalized, iPeople is using many of our AI tools, including our academic integrity features, Coursera Coach, and Course Builder.
That has substantially improved the time that it takes them to create high-quality courses. Another powerful example comes from the state that we're in now, the great state of Nevada, where we launched LearnNV, a statewide partnership to build digital career pathways. This program addresses unemployment at scale, helping young people who are neither in school nor employed, as well as workers who've been displaced by layoffs. The goal is to help them gain the job-relevant skills that they need to reenter the economy. So far, more than 19,000 learners have participated, completing over 400,000 learning hours and 50,000 courses. Now that we've seen the power of institutions using Coursera, I want to highlight a few products that make transformation possible, starting with Learning Paths. Learning Paths give our enterprise customers a scalable way to curate content into tracks that are designed to build specific skills.
They bring structure and intention to the learning journey, giving learners the confidence that they're focused on the right content. Admins can assign learning to specific roles or to their teams, and then monitor progress with dedicated reporting tools. Since launch in July of 2024, we've focused on delivering enhanced reporting for admins and on making it easier for learners to visually track their progress. More than 1,000 organizations have launched over 7,300 learning paths. When programs use them, they see 24% higher engagement one month later. This is just the start. What powers all of our skills recommendations and makes them uniquely effective is our career graph. It starts with rich labor market data from trusted sources like LightCast, and that's combined with global skills frameworks. We analyze which jobs exist, how they're evolving, and what skills are needed at every level.
And then we map those skills directly to the content on Coursera, the lessons, courses, and credentials that actually teach learners those skills. That's the real power of our career graph. It links every learning path to specific roles, the skills needed for those roles, and then the courses that deliver those skills. So learners have a map for how to gain and master the exact skills that they need for their desired career path. Our career graph makes our skill recommendations smarter and our learning pathways more powerful. And now we're taking that even further. So to show you how we're using this technology to deliver personalized, career-aligned upskilling for teams, I'd like to welcome Patrick back to the stage to demo our newest innovation, SkillTracks. Thanks, Greg. I'm excited to introduce SkillTracks, a new turnkey data-backed learning solution for teams across your workforce.
Today, I'll walk you through the SkillTracks and show you how verified skill paths deliver authentic validation of skill attainment. The new SkillTracks experience is designed for teams who need specific skills development aligned to their roles. SkillTracks bring together three important elements into a system. The most relevant modular content selected from across the Coursera catalog and aligned to the career graph. Interactive AI-powered activities that enable personalized practice of skills and verified assessments that confirm that a learner has actually mastered how to use those skills in a job-related task. Here you'll see the SkillTracks for Data, which features our best and most relevant content, learning paths, and collections for data teams, all aligned to our career graph. Organizations can also customize or add content to meet their specific needs.
Starting with the pilot next month, employers can also assign a verified skill path to learners in a SkillTracks. These don't just teach skills; they verify them through a hands-on, expertly designed assessment. Skills verification is something that employers and learners have been asking for. So I'd like to show you what that looks like. When a learner logs in, they'll see they've been assigned a verified skills path, such as this one for data analytics. The path appears on the learner's homepage with a clear recommendation to start with a short self-assessment. Each self-assessment is designed to help learners identify the practice level at which they should begin so they don't repeat skills they already know. Here, they're asked how confident they feel about specific tasks relevant to data analytics, such as data preparation and statistical analysis. Each self-assessment will take less than 10 minutes.
After assessing their responses, we recommend a verified skill path that's aligned to their current level. In this case, their data analytics level is a skilled professional. So let's dive in. What makes this different is that these paths aren't just a list of courses. They're specific modules built on our career graph, rooted in labor market data, and mapped down to the exact skills and job tasks that matter at this career level. The path leverages content from various industry leaders and includes the core tools and programming languages that learners will use on the job. It also clearly displays the skills they need to succeed while on the job. This gives learners clarity on why they're learning each skill and gives employers confidence that progress here truly reflects job-ready capabilities.
Most importantly, each path culminates in a hands-on assessment that aligns to the skills and job tasks their roles require. Within the path, learners find modular content that's been carefully curated to build each skill competency, such as videos, labs, dialogue, and role play, which we just saw in the previous demo. At any time, they can jump to the assessment to avoid relearning material they already know. Let's take a closer look at the assessments since they are what make these skill paths truly verified. These assessments are hands-on tasks that provide evidence of what learners can actually do. Here, the learner is placed in a realistic scenario. They're tasked with analyzing purchase history and summarizing their findings in a brief report. Once they begin, Coursera records their screen as they work through highly applied tasks. This assessment evaluates both hard skills like coding and soft skills like communication.
As they complete each task, we capture their work in real time for evaluation. In this case, the learner is asked to write a Python function for descriptive statistics. Next, they're asked to use an LLM to extract sentiment features. And finally, they're asked to generate an AI-powered executive summary. At each step, learners are being asked to perform tasks they're required to perform in the real world. After submitting their work, learners get actionable feedback. This isn't just a score. It's a detailed breakdown of what went well and where they need improvement and some recommended activities to go practice. Learners also quickly and easily revisit each section as needed. And they'll see their progress and be celebrated as they complete skill milestones along the way.
Learners will work through a series of activities and task-based assessments until they have completed the skills path, at which point they'll earn a credential. This is a portable, verifiable, and easy-to-share on LinkedIn and other platforms. Remember, this shows that the learner can demonstrate actual skills, not just that they watched some videos or read some content. In a world flooded by unvalidated credentials, this badge is highly credible for both learners and employers. SkillTracks help learners focus on the practical skills that matter most for their roles and teams. This translates into learning that is more impactful and directly aligned with your business goals. Today, we're launching SkillTracks for Data, IT, GenAI, and Software and Product. In October, we'll pilot verified skill paths for select data skills, with plans to expand to all four SkillTracks by early next year.
The pilot kicks off on October 6th, and we invite more of our enterprise customers to join us. It's a chance to help shape how verified skill paths can bring value to your employees and your business. On behalf of the product team here at Connect, I invite you to join us at the Learning Expo to hear more about the products we've shared today and the exciting roadmap ahead. Thank you. Thank you, Patrick. So we've covered a lot over the last 50 or so. I hope that what we announced today will help prepare you and your institution for a world that is changing faster than ever. We must seize the opportunity ahead of us. And that's why this quote resonates so deeply with me. The ultimate 21st-century skill is the ability to learn.
In a world that's being reshaped by AI, disruption, and shifting opportunity, that truth has never been more relevant. The ability to learn, to adapt, to grow, to reinvent ourselves is what will define not only our individual success, but the future of our society. That's why we're here. That is why Coursera exists. And together with our partners, our institutions, our customers, and this remarkable community, we can help billions of people unlock that ultimate skill: the ability to learn continuously. And when we do, we don't just prepare people for the future of work. We give them the power to shape it. Thank you all so much. Well, thank you, Greg, for that inspiring and forward-looking keynote on creating a skills-first future in the age of AI. We're going to take a short break now. We have some coffee and tea available, so please enjoy the refreshments.
Have conversations with your fellow attendees, as well as enjoy the conversation going forward. When we return, we'll dive into our first panel of the day: verified skills, stackable credentials, and the journey toward career-aligned personalization. We'll see you back here promptly in 15 minutes. So enjoy your break. Thank you very much.