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  • Other
    All levels

    II. Missões Jesuíticas nos territórios guaranis: o cotidiano

    Em continuidade com a primeira unidade "Missões jesuíticas, nos territórios guaranis: perspectiva histórico-antropológica", este curso (segunda unidade) trata da história das Missões Jesuíticas na região guaranítica, processo ocorrido desde os inícios do século XVII até meados do século XVIII, envolvendo ampla área geográfica correspondente aos atuais estados de Paraguai, Argentina (Misiones), Brasil (Rio Grande do Sul, Paraná, Santa Catarina), Uruguai e Bolívia. Abordaremos essa história a partir dos vestígios da vida cotidiana: artes, saberes, patrimônio monumental, arqueologia. O curso visa oferecer um primeiro nível de conhecimento histórico do tema, de modo a propiciar aos alunos: ➔ Subsídios para o conhecimento dos aspectos mais relevantes da formação das Missões Jesuíticas, considerando os atores envolvidos, as principais circunstâncias que levaram à criação das Missões nos referidos territórios e os diversos posicionamentos das populações guaranis que os ocupavam ➔ Instrumentos de análise crítica da experiência social definida pelo termo Reduções em suas diversas dimensões: política, econômica, social, religiosa e antropológica ➔ Subsídios para a utilização deste conhecimento em sua área de atuação profissional (ensino, gestão de patrimônio, turismo, relações internacionais, pedagogia) ➔ Instrumentos para possíveis ações de resgate, valorização, preservação do patrimônio histórico material (monumental e documental) e imaterial, ligado a tais acontecimentos históricos ➔ Subsídios para possíveis ações voltadas à compreensão e à valorização das redes de relações existentes entre povos latino-americanos ligados à história das Reduções

    View details: II. Missões Jesuíticas nos territórios guaranis: o cotidiano
  • Technology
    Advanced

    Fundamentals of Software Architecture for Big Data

    The course is intended for individuals looking to understand the basics of software engineering as they relate to building large software systems that leverage big data. You will be introduced to software engineering concepts necessary to build and scale large, data intensive, distributed systems. Starting with software engineering best practices and loosely coupled, highly cohesive data microservices, the course takes you through the evolution of a distributed system over time. This course can be taken for academic credit as part of CU Boulder’s MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder

    1680 min
    View details: Fundamentals of Software Architecture for Big Data
  • Technology
    Beginner

    Deploy, Scale, and Update Your Website on Google Kubernetes Engine

    This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to deploy a website to Google Kubernetes Engine, scale it out to more instances, and deploy a new version using Rolling Updates.

    45 min
    View details: Deploy, Scale, and Update Your Website on Google Kubernetes Engine
  • Technology
    Intermediate

    Cloud: Platform as a Service - Master's

    This course is aimed at preparing individuals to gain knowledge, skills, and abilities to demonstrate the knowledge for managing Platform as a Service (PaaS) in the Cloud. Students will learn to deploy, operate, and maintain cloud platforms for storing, processing, and transferring information with architecture design principles and a structured approach. Students will also learn the shared responsibility model and cloud security best practices to secure PaaS platforms for the application-hosting environments.

    1920 min
    View details: Cloud: Platform as a Service - Master's
  • Technology
    Beginner

    ML Parameters Optimization: GridSearch, Bayesian, Random

    Hello everyone and welcome to this new hands-on project on Machine Learning hyperparameters optimization. In this project, we will optimize machine learning regression models parameters using several techniques such as grid search, random search and Bayesian optimization. Hyperparameter optimization is a key step in developing machine learning models and it works by fine tuning ML models so they can optimally perform on a given dataset.

    120 min
    View details: ML Parameters Optimization: GridSearch, Bayesian, Random
  • Business
    All levels

    Microsoft Project 2019–2024/365: Part 2

    Welcome to Microsoft® Project® 2019-2024/365: Part 2. This course is designed to familiarize you with some of the advanced features and functions of Microsoft Project so you can use it effectively and efficiently in a real-world environment. In Microsoft® Project® 2019-2024/365: Part 1, you learned the basic features of Microsoft Project during the planning phase of a project. This course covers the advanced knowledge and skills a project manager needs to update a project plan in Project during the execution, monitoring, and controlling phases of a project. In other words, once your project plan is approved by the project sponsor, this course will enable you to manage the project so that it is completed on time, within budget, and according to scope. This material will benefit users of any current Project desktop version. The course environment setup is based on Project 2021. This course is designed for business professionals with an understanding of project management concepts and who are responsible for creating and maintaining project plans. Target students will be looking to acquire the advanced knowledge and skills needed to update a project plan in Microsoft Project during the execution, monitoring, and controlling phases of a project. In this course, you will: update a project plan, generate project views to manage a project, create project reports to share a project's status, reuse project plan information, and work with multiple projects. Note: You can procure a license for the Project desktop app in one of two ways: purchasing a cloud-based subscription or an on-premises license. Project Online is included in both of the following purchase options: Cloud-based subscription: Project Plan 3 or 5. (Microsoft Project is not included in the Microsoft 365 plans. A separate subscription plan is required.) On-premises solution: Project Professional 2021.

    View details: Microsoft Project 2019–2024/365: Part 2
  • Technology
    Intermediate

    Running Distributed TensorFlow using Vertex AI

    This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will use TensorFlow's distribution strategies and the Vertex AI platform to train and deploy a custom TensorFlow image classification model to classify an image classification dataset.

    90 min
    View details: Running Distributed TensorFlow using Vertex AI
  • Technology
    Intermediate

    Application Deployment, Debug, Performance 日本語版

    このアプリケーション デベロッパー向けのコースでは、Google Cloud のマネージド サービスをシームレスに統合するクラウドネイティブ アプリケーションを設計、開発する方法を学びます。プレゼンテーション、デモ、ハンズオンラボを通して、受講者はアプリケーション開発のベスト プラクティスを適用する方法と、オブジェクト ストレージ、リレーショナル データ、キャッシュ、分析向けに、適切な Google Cloud ストレージ サービスを使用する方法を学習します。受講者は、Node.js、Java、Python のいずれか好きな言語を選択してラボを完了できます。

    View details: Application Deployment, Debug, Performance 日本語版
  • Business
    All levels

    Supply Chain Management: A Learning Perspective

    As a human being, we all consume products and/or services all the time. This morning you got up and ate your breakfast, e.g., eggs, milk, bread, fresh fruits, and the like. After the breakfast, you drove your car to work or school. At your office, you used your computer, perhaps equipped with 27” LCD monitor. During your break, you drank a cup of coffee and played with your iPhone. So on and so forth. You probably take it for granted that you can enjoy all of these products. But if you take a closer look at how each of these products can be made and eventually delivered to you, you will realize that each one of these is no short of miracle. For example, which fruit do you like? Consider fresh strawberries. In order for the strawberries to be on your breakfast table, there must be numerous functions, activities, transactions, and people involved in planting, cultivating, delivering, and consuming strawberries. Moreover, all of these functions, activities, transactions, and people are connected as an integral chain, through which physical products like strawberries themselves and virtual elements such as information and communication flow back and forth constantly. By grouping related functions or activities, we have a supply chain, comprised of four primary functions such as supplier, manufacturer, distributor, and finally consumer. A supply chain is essentially a value chain. For the society or economy as a whole, the goal is to maximize value, i.e., to create satisfactory value without spending too much. In order to create the maximum value for the strawberry supply chain, every participant in the chain must carry out its function efficiently. In addition, all of the members must coordinate with each other effectively in order to ensure value maximization. We have to face the same issues for almost all the products and services we take for granted in our everyday life, e.g., cars, hamburgers, haircuts, surgeries, movies, banks, restaurants, and you name it! In this course, we want to understand fundamental principles of value creation for the consumers or the market. We try to answer questions like how the product or service is made, how the value-creating activities or functions are coordinated, who should play what leadership roles in realizing all these, and so on. As our course title hints, we approach all of these issues from a learning perspective, which is dynamic in nature and emphasizes long-term capability building rather than short-term symptomatic problem solving.

    840 min
    View details: Supply Chain Management: A Learning Perspective
  • Technology
    Advanced

    Data Modeling and Lakehouse Architecture with SQL

    You will design and implement enterprise-grade data models, from traditional star schemas to modern lakehouse architectures. This comprehensive course equips you with the skills to build cost-effective, scalable data solutions that drive business intelligence and analytics. You'll gain hands-on experience creating dimensional models with surrogate keys, optimizing database schemas through partitioning and clustering, and implementing slowly changing dimensions for historical data tracking. The course covers advanced topics like semantic metrics layers, multi-cluster warehouse architectures, and open-source table formats for data lakes. What makes this course unique is its end-to-end approach to modern data architecture. You'll work with real-world scenarios, from analyzing storage costs to designing data ingestion pipelines that span from raw files to analytics-ready tables. By completion, you'll confidently architect data solutions that balance performance, cost, and scalability—skills essential for senior data engineering and architecture roles in today's data-driven organizations.

    View details: Data Modeling and Lakehouse Architecture with SQL
  • Business
    Beginner

    Aligning Business Strategy for AI Integration

    Explores how artificial intelligence (AI) empowers businesses to enhance competitiveness. Examines how AI integrates with business strategy. Offers students an opportunity to recommend business solutions through the integration of AI capabilities. Focuses on leveraging machine learning techniques like unsupervised, supervised, and reinforcement learning for data-driven insights. Examines the intersection of managerial practices and AI capabilities through real-world case studies. Students also have an opportunity to gain practical insights into implementation and ethical considerations and navigate the dynamic landscape of AI-driven business transformations.

    View details: Aligning Business Strategy for AI Integration