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  • Business
    Beginner

    Metrics that Matter: Improving Product Outcomes

    In this course, learners will develop the ability to use metrics as a practical tool for alignment and better decision-making. They will explore how metrics support adaptable, impactful ways of working and how the right metrics can help teams understand progress, surface insights, and focus on outcomes that matter. Completing this course helps product professionals move beyond reporting for the sake of reporting. Learners will practice interpreting data in context, using metrics to guide conversations, and applying insights to real work rather than treating numbers as a control mechanism. The emphasis is on using metrics to support improvement and shared understanding, not compliance. What makes this course unique is its focus on mindset as much as measurement. Instead of teaching metrics as static indicators, the course shows how they become powerful when used thoughtfully and ethically. Designed by Scrum Alliance, this course helps learners strengthen their ability to guide teams and organizations using evidence, clarity, and agility in modern product environments.

    120 min
    View details: Metrics that Matter: Improving Product Outcomes
  • Engineering
    All levels

    Statistical Mechanics: Algorithms and Computations

    In this course you will learn a whole lot of modern physics (classical and quantum) from basic computer programs that you will download, generalize, or write from scratch, discuss, and then hand in. Join in if you are curious (but not necessarily knowledgeable) about algorithms, and about the deep insights into science that you can obtain by the algorithmic approach.

    View details: Statistical Mechanics: Algorithms and Computations
  • Business
    All levels

    Fundamentals of Management, with Goldman Sachs 10,000 Women

    This free online course is one of 10 courses available in the Goldman Sachs 10,000 Women collection, designed for entrepreneurs ready to take their business to the next level. This course focuses on the most critical resource for growth in your business – your employees. Understanding of human resource management covers topics from employee recruitment and selection to performance management and training and development. You will plan how to develop the team needed to achieve your vision for your business, while promoting a strong organizational culture that supports business growth. By the end of this course, you will have aligned your vision with your organizational structure, considered when it is beneficial to outsource or delegate, and reflected on performance management in your business. To help prepare you for this course, you may wish to take one of the other Goldman Sachs 10,000 Women courses, ‘Fundamentals of Leadership’, in which you will develop a Vision Statement and examine your leadership style. The 10,000 Women course collection offers a truly flexible online learning experience. You have the freedom to approach the program in any way that works for you – take any course, or combination of courses, to tailor your learning journey to your individual business growth needs. If you choose to take all 10 courses, you will explore all the key elements of your business and develop a thorough plan for your business’s growth. You can find out more about the Goldman Sachs 10,000 Women collection in the FAQs.

    300 min
    View details: Fundamentals of Management, with Goldman Sachs 10,000 Women
  • Technology
    Intermediate

    TensorFlow を使った畳み込みニューラルネットワーク

    ソフトウェア開発者であれば、拡張性のあるAI搭載アルゴリズムを構築したい場合、構築ツールの使い方を理解する必要があります。この講座は今後学んでいく「TensorFlow in Practice 専門講座」の一部であり、機械学習用の人気のオープンソースフレームワークであるTensorFlowのベストプラクティスを学習します。 deeplearning.ai が提供する「TensorFlow in Practice 専門講座」の講座2では、講座1で構築したコンピュータビジョンモデルを改善するための高度な技法を学習します。現実世界の様々な形状とサイズがある画像の扱い方を探求し、畳み込みを通過する画像がたどる行程を視覚化して、コンピューターがどのようにして情報を「見る」かを理解し、損失と精度をプロットし、拡張とDropoutなど、過学習を防ぐための戦略を探求します。最後に、講座2では転移学習を紹介し、学習した特徴をモデルから抽出する方法を学びます。 アンドリュー・エンの「 The Machine Learning(機械学習)」と「Deep Learning Specialization(ディープラーニング専門講座)」では、機械学習とディープラーニングの最も重要かつ基本的な原理を学習します。deeplearning.aiが提供する新しい「TensorFlow in Practice 専門講座」では、TensorFlowを使用してそれらの原理を実装し、拡張性のあるモデルを構築して現実世界の問題に適用する方法を学びます。ニューラルネットワークの仕組みについての理解を深めるには、「ディープラーニング専門講座」を受講することをお勧めします。

    View details: TensorFlow を使った畳み込みニューラルネットワーク
  • Technology
    Intermediate

    Decryption with Python

    By the end of this project, you will be able to apply different decryption algorithms and techniques using Python. Moreover, you will apply cryptography concepts through completing several practical exercises to build a solid foundation in decrypting information and data using several renowned industry encryption algorithms. You will write programs that decrypt data using ciphers including the reverse cipher Caesar Cipher and Fernet symmetric and RSA asymmetric encryption algorithms. This project is for intermediate Python programmers who already have a basic familiarity with thePython programming language and are interested in cryptography. This project will provide you with the skills needed to write software that encrypt and decrypt data. We will be using Python for this project . It has quickly become the world’s most popular programming language making it suitable for this project.

    75 min
    View details: Decryption with Python
  • Business
    Intermediate

    Decentralized Finance (DeFi) Opportunities and Risks

    DeFi and the Future of Finance is a set of four courses that focus on decentralized finance. The final course is called DeFi Opportunities and Risks. It is essential that you complete the first three courses: I. DeFi Infrastructure; II. DeFi Primitives; and III. DeFi Deep Dive before beginning the fourth course. The course starts with the premise that an analysis of any new technology must clearly gauge the risks and challenges. Given that DeFi is only a few years old there are plenty of risks. The course begins with the most obvious risk: smart contract risk. Smart contracts are foundational for DeFi. The code of these contracts is public - opening a clear attack vector for hackers. That is, in traditional finance, hackers need to break into a system to get access to the code and data. In DeFi, everything is open source.There are many other risks studied including: Governance risk; Oracle risk; Scaling risk; Decentralized Exchange or DEX risk; Custodial risk; Environmental risk; and Regulatory risk.

    600 min
    View details: Decentralized Finance (DeFi) Opportunities and Risks
  • Technology
    All levels

    Chatbots with Keras & NLP: Build & Evaluate

    Learners will be able to analyze text data, implement preprocessing techniques, apply vectorization methods, design machine learning and neural models, and evaluate advanced chatbot systems. This hands-on course guides learners step by step through the process of building chatbots with Keras and TensorFlow, ensuring both foundational and advanced skills are developed. The course begins with essential NLP preprocessing techniques, including Bag of Words, TF-IDF, stop word removal, stemming, and lemmatization. Learners then progress to applying classical ML models, TF-IDF, and Word2Vec embeddings before mastering neural networks and generative chatbot architectures. In the final module, learners explore attention mechanisms, advanced architectures, and evaluation strategies to create context-aware, high-performing conversational AI. By completing this course, learners gain practical coding experience, industry-ready workflows, and the ability to confidently design and deploy chatbots for real-world applications. Unlike purely theoretical courses, this program emphasizes hands-on implementation, progressive complexity, and evaluation-driven learning—making it uniquely suited for those who want to design, implement, and assess intelligent chatbots with cutting-edge NLP techniques.

    View details: Chatbots with Keras & NLP: Build & Evaluate
  • Technology
    Beginner

    Integración de aplicaciones con Gemini 1.0 Pro en GC

    Este curso breve sobre la integración de aplicaciones con modelos de Gemini 1.0 Pro en Google Cloud te ayudará a descubrir la API de Gemini y sus modelos de IA generativa. En este curso, aprenderás a acceder a los modelos de Gemini 1.0 Pro y Gemini 1.0 Pro Vision a partir del código. Podrás probar las capacidades de los modelos con instrucciones de texto, imágenes y video desde una app.

    View details: Integración de aplicaciones con Gemini 1.0 Pro en GC
  • Business
    Intermediate

    Execute with Focus and Discipline

    Focused, disciplined leadership helps you and your team spend time wisely. In this course, you’ll learn how to make smart decisions to make the most of everyone’s time and energy and overcome the obstacles that derail productivity. You’ll learn techniques to ensure meetings are helpful, routines are optimized, and common challenges don’t get in the way of your team’s success.

    View details: Execute with Focus and Discipline
  • Technology
    All levels

    Programming Languages, Part C

    [As described below, this is Part C of a 3-part course. Participants should complete Parts A and B first -- Part C "dives right in" and refers often to material from Part A and Part B.] This course is an introduction to the basic concepts of programming languages, with a strong emphasis on functional programming. The course uses the languages ML, Racket, and Ruby as vehicles for teaching the concepts, but the real intent is to teach enough about how any language “fits together” to make you more effective programming in any language -- and in learning new ones. This course is neither particularly theoretical nor just about programming specifics -- it will give you a framework for understanding how to use language constructs effectively and how to design correct and elegant programs. By using different languages, you will learn to think more deeply than in terms of the particular syntax of one language. The emphasis on functional programming is essential for learning how to write robust, reusable, composable, and elegant programs. Indeed, many of the most important ideas in modern languages have their roots in functional programming. Get ready to learn a fresh and beautiful way to look at software and how to have fun building it. The course assumes some prior experience with programming, as described in more detail in the first module of Part A. Part B assumes successful completion of Part A. The course is divided into three Coursera courses: Part A, Part B, and Part C. As explained in more detail in the first module of Part A, the overall course is a substantial amount of challenging material, so the three-part format provides two intermediate milestones and opportunities for a pause before continuing. The three parts are designed to be completed in order and set up to motivate you to continue through to the end of Part C. Week 1 of Part A has a more detailed list of topics for all three parts of the course, but it is expected that most course participants will not (yet!) know what all these topics mean.

    960 min
    View details: Programming Languages, Part C
  • Business
    Beginner

    Как таргетировать группу пользователей в Twitter?

    В этом курсе-проекте продолжительностью 1 час вы научитесь таргетировать определенные группы пользователей при настройке рекламы в Twitter. Примечание. Этот курс изначально создан для учащихся из Северной Америки. На данный момент мы адаптируем его и для других регионов.

    View details: Как таргетировать группу пользователей в Twitter?
  • Technology
    Beginner

    Tendencias e innovaciones en los medios deportivos

    Este curso explora las últimas tendencias e innovaciones emergentes que están moldeando el futuro de los medios deportivos. El alumnado analizará el auge de las plataformas de streaming y OTT, la transición hacia modelos directos al consumidor (D2C) y la creciente demanda de contenido personalizado. A lo largo del curso se abordarán estrategias prácticas para adaptar highlights y mejorar la experiencia del aficionado. También se profundiza en innovaciones inmersivas aplicadas a los medios, como el uso de realidad aumentada y virtual, el contenido detrás de cámaras y la mejora de la experiencia en estadios para seguidores remotos. Finalmente, se examinará cómo los eSports, los nuevos formatos digitales y los modelos de monetización están ampliando el alcance y las posibilidades comerciales de los medios deportivos. Estas herramientas permitirán al alumnado mantenerse al día en un entorno digital en constante evolución.

    View details: Tendencias e innovaciones en los medios deportivos