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MOOC
The metaverse isn’t just for gamers or developers, it will be for everyone. In this free course from the experts at Meta, you’ll learn what the metaverse is, what it means for our world today and into the future, and the opportunities it presents for both professionals and businesses.
Understand the metaverse fundamentals
Experts will guide you through a broad range of topics spanning the metaverse ecosystem, from communication and collaboration to NFTs and cryptocurrency, from avatars and devices to platforms and game engines. You’ll learn about augmented reality (AR), virtual reality (VR), extended reality, NFTs, blockchain, web3, cryptocurrency, and more.
Discover new ways to connect, learn, and work
The metaverse provides new ways to connect people, websites, platforms and realities. You’ll explore how it will enhance online social experiences, the future of work and learning.
Opportunities for professionals and businesses
The metaverse will be built by everyone, with creative and practical applications being developed every day by imaginative people. Learn how the metaverse will be applied in areas like healthcare, education, city planning, art, and more—and how you can start creating these experiences today. You’ll also learn how the metaverse can make the world a more diverse, equitable, and inclusive place.
By the end of the course, you’ll be equipped with the fundamental knowledge of the metaverse to determine future areas of interest, learning, or professional growth.
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MOOC
In today’s workplace, professionals don’t work alone, and rarely work with just one other person. More often, we are required to work in groups to strategize, design solutions, ideate, motivate, manage, and execute. This course, part of the Leadership Essentials Professional Certificate program, complements business communication skills and expands those competencies to provide a foundation for decision-making, consensus-building, and problem-solving within a group environment.
In this course, learners will analyze and evaluate their own experiences of leading and participating in teams, and will relate them to industry examples.
Topics in the course also include:
Team formation and development
Building, leading, organizing, and motivating teams
Managing conflict in groups to build productive professional relationships
Collaboration among cross-functional teams
Interpersonal relationship dynamics in small groups
- Keywords:
- Interpersonal communication Teams in the workplace Business communication
- Resource Type:
- MOOC
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MOOC
The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. This beginner-friendly program will teach you the fundamentals of machine learning and how to use these techniques to build real-world AI applications.
This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field.
This 3-course Specialization is an updated version of Andrew’s pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012.
It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.) By the end of this Specialization, you will have mastered key concepts and gained the practical know-how to quickly and powerfully apply machine learning to challenging real-world problems. If you’re looking to break into AI or build a career in machine learning, the new Machine Learning Specialization is the best place to start.
- Course related:
- AAE5103 Artificial Intelligence in Aviation Industry
- Subjects:
- Computing, Data Science and Artificial Intelligence
- Keywords:
- Artificial intelligence Machine learning
- Resource Type:
- MOOC
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MOOC
Population ageing is a global phenomenon profoundly affecting the well-being of communities. Disciplines such as Social Sciences, Design, and Engineering offer unique, insightful innovations for ageing societies. Along with providing solutions catering to their professional niche, these disciplines achieve creative and practical innovations through interdisciplinary collaboration. This course intends to explore and examine the process of incubating innovations in these three disciplines and help the learners to appreciate the synergy created when working toward innovations by adopting an interdisciplinary approach.
- Subjects:
- Social Sciences
- Keywords:
- Older people -- Government policy Older people -- Services for Technology older people Ageing
- Resource Type:
- MOOC
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MOOC
This course is about resonating with your experience and meaningfully engaging patients to make good decisions and to address the significance of interprofessional collaborations in health care. Service users’ experience and views across all points on health promotion, management and support services are crucial to developing optimal health care practice. Join Prof Elwynis a leader committed in Shared Decision Making (SDM) practice and research to promote high quality decision making. Taking into account the best scientific evidence available, he will explain to you how this collaborative process and the use of decision-aids help eliciting patients’ beliefs and integrating patient preferences and priorities to treatment options after thorough considerations of the trade-offs. Together, we are oriented to the interprofessional collaborative initiative that synergizes the strengths among health care allies toachieve optimal clinical practice and health outcomes. Renowned experts in various health care fields share their first hand experiences, eliciting profound insights and wisdoms about interprofessional collaborations. This is aspirational in learning to reflect, decipher, interpret and construct ways in enhancing effective coordination of care to meet health needs. Making sense of the SDM and IPC concepts and recognizing the available evidences and resources is crucial to enabling good team dynamics. Using a docu-drama, it takes you through a patient’s journey having a stroke due to his hidden assumptions in receiving treatment to atrial fibrillation (an abnormal heart rhythm). His attitude and struggles point to a challenging recovery process. Contemplate on how SDM and IPC could step in at different stages to improve health outcomes. Identifying gaps in the existing scientific evidence and services will help you to pursue influential strategies and design innovative programs or products to attain better outcomes. Your understanding and participation in this course will create positive impact over time in advancing the present health system to deliver the best possible outcomes to various stakeholders. We are excited to see your passion in affecting health decisions and determination in accomplishing excellent care delivery. Get connected with a global community of learners and simply enjoy gaining new ideas about making a difference in health care.
- Subjects:
- Health Sciences
- Keywords:
- Patient participation Clinical medicine -- Decision making Medical care -- Decision making
- Resource Type:
- MOOC
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MOOC
Game designers work with a wide range of asset creators, programmers, producers, and others to bring a video game from concept to product. In this course, you will learn about the different types of teams a game designer is a member of, both large and small.
- Subjects:
- Computing, Data Science and Artificial Intelligence and Interactive and Digital Media
- Keywords:
- Video games -- Design
- Resource Type:
- MOOC
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MOOC
In autonomous vehicles such as self-driving cars, we find a number of interesting and challenging decision-making problems. Starting from the autonomous driving of a single vehicle, to the coordination among multiple vehicles. This course will teach you the fundamental mathematical model for many of these real-world problems. Key topics include Markov decision process, reinforcement learning and event-based methods as well as the modelling and solving of decision-making for autonomous systems. This course is aimed at learners with a bachelor's degree or engineers in the automotive industry who need to develop their knowledge in decision-making models for autonomous systems. Enhance your decision-making skills in automotive engineering by learning from Chalmers, one of the top engineering schools that distinguished through its close collaboration with industry.
- Subjects:
- Electrical Engineering, Mechanical Engineering, and Transportation
- Keywords:
- Decision making Automobiles -- Design construction Automated vehicles
- Resource Type:
- MOOC
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MOOC
How can we strengthen sustainability? By empowering individuals and communities to transform and balance dynamic natural resources, economic prosperity, and healthy populations. In this course, you’ll explore productive and disruptive social, ecological, and economic intersections – the “triple bottom line.” You’ll investigate a spectrum of global, national, regional, municipal and personal relationships that are increasing resiliency. Most importantly, you’ll learn how to effectively locate your interests, and to leverage optimistic change within emerging 21st century urban environments. This course will describe fundamental paradigm shifts that are shaping sustainability. These include connectivity, diversity, citizen engagement, collaboration source tracing, mapping, transportation, and integrative, regenerative design. We will take examples from cities around the globe; making particular use of the complex evolution of site-specific conditions within the Connecticut River watershed. In addition we will present tools and strategies that can be utilized by individuals, communities, and corporations to orchestrate effective and collective change. Each week, lessons will highlight the significance of clean water as a key indication of ecosystem, community and human health. Learners will be asked to investigate and share information about their local environment. Finally, we will note the impact of such disruptive forces as industrial pollution, changing governance, privatization of public services, mining of natural resources, public awareness, and climate change. A fundamental course goal will be to characterize indicators of economic prosperity and happiness that relate to environmental sustainability – and the capacity of individuals to create change.
- Subjects:
- Environmental Engineering, Building Services Engineering, and Building and Real Estate
- Keywords:
- Urban ecology (Sociology) Sustainable development
- Resource Type:
- MOOC
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MOOC
Autonomous vehicles, such as self-driving cars, rely critically on an accurate perception of their environment. In this course, we will teach you the fundamentals of multi-object tracking for automotive systems. Key components include the description and understanding of common sensors and motion models, principles underlying filters that can handle varying number of objects, and a selection of the main multi-object tracking (MOT) filters. The course builds and expands on concepts and ideas introduced in CHM013x: ""Sensor fusion and nonlinear filtering for automotive systems"". In particular, we study how to localize an unknown number of objects, which implies various interesting challenges. We focus on cameras, laser scanners and radar sensors, which are all commonly used in vehicles, and emphasize on situations where we seek to track nearby pedestrians and vehicles. Still, most of the involved methods are more general and can be used for surveillance or to track, e.g., biological cells, sports athletes or space debris. The course contains a series of videos, quizzes and hands-on assignments where you get to implement several of the most important algorithms. Learn from award-winning and passionate teachers to enhanceyour knowledge at the forefront of research on self-driving vehicles. Chalmers is among the top engineering schools that distinguish itself through its close collaboration with industry.
- Subjects:
- Electrical Engineering, Mechanical Engineering, and Transportation
- Keywords:
- Automobiles -- Design construction Computer vision Automated vehicles
- Resource Type:
- MOOC