12,053 courses
Delve into the history of deep learning, and explore neural networks like the perceptron, how they function, and what architectures underpin them. Complete short coding assignments in Python.
Al final de este proyecto, tendréis todas las habilidades básicas para crear una presentación de empresas profesional simple y efectiva con Microsoft Powerpoint. Gracias a este proyecto, podrá utilizar todas las herramientas de Microsoft Powerpoint para crear una presentación profesional, atractiva y original para presentar su empresa sin importar el tamaño. Este proyecto está destinado a personas que ya han utilizado Microsoft Powerpoint. El objetivo es permitirle crear una presentación empresarial profesional y dinámica, que incluya todos los elementos necesarios para presentar su empresa a una audiencia.
CONGRATULATIONS! Not only did you accomplish to finish our intellectual tour de force, but, by now, you also already have all required skills to execute a comprehensive multi-method workflow of computational social science. We will put these skills to work in this final integrative lab, where we are bringing it all together. We scrape data from a social media site (drawing on the skills obtained in the 1st course of this specialization). We then analyze the collected data by visualizing the resulting networks (building on the skills obtained in the 3rd course). We analyze some key aspects of it in depth, using machine learning powered natural language processing (putting to work the insights obtained during the 2nd course). Finally, we use a computer simulation model to explore possible generative mechanism and scrutinize aspects that we did not find in our empirical reality, but that help us to improve this aspect of society (drawing on the skills obtained during the 4th course of this specialization). The result is the first glimpse at a new way of doing social science in a digital age: computational social science. Congratulations! Having done all of this yourself, you can consider yourself a fledgling computational social scientist!
Bienvenue dans le deuxième cours de la série "Networking in Google Cloud", intitulé "Routing and Addressing". Dans ce cours, nous allons nous intéresser aux concepts centraux du routage et de l'adressage dans le contexte des fonctionnalités réseau de Google Cloud. Dans le module 1, nous poserons les bases en explorant le routage et l'adressage réseau dans Google Cloud. Nous verrons des composants clés tels que le routage IPv4, l'utilisation de vos propres adresses IP (BYOIP, Bring Your Own IP) et la configuration de Cloud DNS. Dans le module 2, nous nous concentrerons sur les options de connexion privée. Nous explorerons des cas d'utilisation et des méthodes permettant d'accéder à Google et à d'autres services de façon privée à l'aide d'adresses IP internes. À la fin de ce cours, vous aurez compris comment acheminer et gérer efficacement votre trafic réseau dans Google Cloud.
This course gives you access to the powerful systems-coaching tools agile leaders use to help entire organizations—and the teams within them—think, act, and grow as one aligned system. You'll explore how to define, reveal, and serve systemic patterns; how to enter complex group dynamics; how to work with roles and navigate conflict; and ultimately how to guide transformation that sticks. Using these approaches, regardless of whether you're a coach, scrum master, project manager, or agile leader, you'll gain the ability to drive strategic alignment, boost collaboration across functions, and nurture adaptability in evolving environments. If you're already familiar with agile coaching, this course offers a broader lens to see and influence organizational patterns for deeper impact. If you're newer to systems thinking, you'll discover a structured, scenario-based path to mastering high-leverage coaching techniques. If you've ever wanted to help your organization thrive through complexity and change, this course will show you how.
This hands-on course equips learners with the practical skills to design, deploy, and debug end-to-end data processing workflows using the ELK (Elasticsearch, Logstash, Kibana) stack. Through guided case studies and real-world scenarios, participants will install and configure Elasticsearch, build and manage containerized applications using Docker and Docker Compose, and analyze service data with Logstash and Kibana. Learners will progressively construct multi-service pipelines, manage configurations using YAML, and monitor application behavior across interconnected containers. By the end of the course, participants will be able to construct scalable logging infrastructures, orchestrate services across environments, and evaluate and troubleshoot real-time application logs using Kibana. Whether you're an aspiring DevOps engineer or a backend developer, this course will help you apply theoretical concepts in real-world deployment scenarios such as define, configure, construct, implement, analyze, and evaluate.
By the end of this course, learners will be able to install and configure Prometheus, integrate exporters for system and cloud metrics, deploy Alertmanager for reliable notifications, and design powerful Grafana dashboards. They will also apply PromQL operators and functions to query time-series data and monitor applications and short-lived jobs using Pushgateway and Apache exporter. This course is designed to provide a complete, hands-on learning journey, starting from foundational setup to advanced monitoring and visualization. Unlike generic tutorials, it offers a structured progression: learners first build a Prometheus environment, then extend it with cloud integrations, alerts, and security, and finally master advanced querying and visualization techniques. With a focus on real-world projects, learners gain practical skills in monitoring infrastructure, analyzing system performance, and implementing proactive alerting pipelines. Whether aiming to strengthen DevOps expertise, improve cloud monitoring, or enhance observability practices, this course delivers the practical knowledge needed to monitor, alert, and visualize with Prometheus effectively.
In the culminating project, you will develop new trading strategies, evaluate them using the tools learned in the course, integrate them with the existing portfolio and also develop a plan to start a hedge fund.
Intellectual property (IP) law shapes the way we innovate, create, and share ideas in today’s world. From the brands we buy, to the technology we use, to the music and art we love, IP law sets the rules of protection and use—and those rules are constantly being tested and redefined. In this course, you’ll explore some of the most pressing debates and recent landmark cases in U.S. IP law, across four key domains: trademark, patent, trade secret, and copyright. Guided by real-world controversies and Supreme Court decisions, you’ll learn how courts balance the need to incentivize creativity and innovation with the broader public interest in free expression, competition, and access. By the end of this course, you will be able to: Understand the foundations of U.S. IP law and its role in protecting innovation and expression. Analyze how trademark law interacts with freedom of speech, from scandalous brand names to parody and political commentary. Explain the complexities of patent licensing in technology markets, including the global battles over standards essential patents (SEPs). Evaluate the challenges of protecting trade secrets in fast-moving industries, and the impact of new restrictions on noncompete agreements. Assess how copyright law applies to music, art, and popular culture, including disputes over fair use, sampling, and transformative works. Through engaging case studies—from Jack Daniel’s dog toy parodies, to Microsoft and Motorola’s patent wars, to Taylor Swift’s re-recordings and Andy Warhol’s fair use battle—you’ll gain both a practical and critical understanding of how IP law works in action. Whether you are a professional in law, business, or technology, or simply curious about the rules that govern creativity and commerce, this course will give you the tools to spot IP issues, think like a lawyer, and better understand how the law affects the ideas and products that shape our lives.
This course will cover various topics in Data Engineering in support of decision support systems, data analytics, data mining, machine learning, and artificial intelligence. You will study on-premises data warehouse architecture, and dimensional modeling of data warehouses.
With Amazon Connect routing, organizations can implement intelligent and customizable omnichannel routing strategies to connect customers to agents with the most appropriate skill set. In this course, you will learn the benefits, typical use cases, and core concepts of Amazon Connect routing. You will explore real-world implementation scenarios and identify the key considerations to enhance the customer experience and optimize contact center operations through effective routing.
In this capstone project, you will apply the skills and knowledge you’ve gained from the IBM Relational Database Administrator Professional Certificate to some real-world database administration tasks. You’ll begin by setting up an Online Transaction Processing (OLTP) database, creating a data warehouse using PostgreSQL, and querying the databases using SQL. Next, you’ll build Extract, Transform, and Load (ETL) pipelines with Apache Airflow to automate data flow across systems. Plus, you’ll implement backup and restore processes, starting with manual setups and then progressing to automated solutions. To ensure database security, you’ll then configure user access and permissions in MySQL. You’ll optimize memory usage and improve query performance to enhance database efficiency. By the end of the course, you’ll have demonstrated and applied key aspects of database administration. An ideal addition to your portfolio! If you’re looking to get hands-on experience in database administration that you can talk about in interviews, enroll today!
