This course gives you a synopsis of the encoder-decoder architecture, which is a powerful and prevalent machine learning architecture for sequence-to-sequence tasks such as machine translation, text summarization, and question answering. You learn about the main components of the encoder-decoder architecture and how to train and serve these models. In the corresponding lab walkthrough, you’ll code in TensorFlow a simple implementation of the encoder-decoder architecture for poetry generation from the beginning.
This course covers essential topics, including networking basics and the Systemd service manager. You'll learn to manage software packages with tools like apt, yum, and dnf for installations and updates. The course also includes SSH configuration for remote access, network time protocol for time management, and process scheduling with cron and Systemd timers. You'll explore Linux logging systems to gather system information. Practical labs are included to apply your skills.
In a volatile, uncertain, complex, hyperconnected and ambiguous world, business and innovation cycles are shrinking like never before. The life cycle of companies has been reduced to less than a third in the last 30 years.
The democratization of innovation has opened infinite possibilities for many people, companies and regions around the world. In particular, entrepreneurs and startups are taking advantage of the opportunities generated by the transformation that is taking place.
In this online course, you will understand how you can begin to develop these innovative and entrepreneurial skills, and thus apply them successfully.
This online course focuses on understanding the strategies, tools and basic concepts that entrepreneurs use to undertake market innovations and scale their ventures, generating value and disruption in many markets.
You will understand:
• How to validate a problem and its solution (Problem-Solution Fit)
• How to validate if a product has an acceptance in a market (Product-Market Fit)
• How to scale your ventures (Business Model Fit)
Document AI: Project & API Writing teaches you how to communicate AI systems with clarity, structure, and precision - skills that are essential for ML engineering in real organizations. In this course, you’ll learn to document model architectures, data schemas, training procedures, and evaluation summaries in ways that support onboarding, debugging, and reproducibility. You’ll also create developer-facing API documentation with request and response schemas, examples, error behaviors, and usage notes. Through hands-on practice and a full MkDocs documentation lab, you’ll build a complete, developer-ready documentation site for a prediction API. By the end, you’ll be able to turn raw ML projects into professional, discoverable, and maintainable technical documentation that teams rely on.
Master the valuation and risk modeling techniques used by financial institutions, investment firms, and risk management professionals to evaluate financial instruments and manage uncertainty. This comprehensive course combines market risk measurement, derivatives valuation, fixed income analysis, and advanced risk management frameworks into a practical learning experience.
The course begins with the foundations of financial risk measurement, introducing Value at Risk (VaR), volatility concepts, and statistical techniques used to quantify financial uncertainty. Learners will explore multiple VaR methodologies and understand how risk professionals measure and monitor market exposure across portfolios.
Building on this foundation, the course examines advanced risk modeling approaches and option pricing techniques. Learners will gain practical knowledge of binomial valuation models, the Black-Scholes framework, and the application of Greeks for sensitivity analysis, hedging, and risk management. Arbitrage principles and pricing relationships are also explored to strengthen financial intuition.
The course then transitions into fixed income valuation, covering bond pricing, discounting techniques, yield curve construction, and interest rate dynamics. Learners will develop the ability to measure and manage interest rate risk using duration, convexity, and DV01 methodologies commonly applied by investment and treasury professionals.
Beyond market and interest rate risk, learners will explore credit risk, operational risk, and country risk frameworks. Topics include credit ratings, transition matrices, operational risk challenges, and macroeconomic factors influencing sovereign and cross-border risk assessment.
By the end of this course, learners will be able to evaluate financial instruments, apply valuation models, interpret risk metrics, assess multiple forms of financial risk, and support investment and risk management decisions using industry-standard techniques relevant to banking, asset management, treasury, and FRM preparation.
Essential Cloud Infrastructure: Foundation - Français
Ce cours accéléré à la demande présente aux participants les services complets et flexibles d'infrastructure et de plate-forme offerts par Google Cloud, en s'intéressant plus particulièrement à Compute Engine. À travers un ensemble de cours vidéo, de démonstrations et d'ateliers pratiques, les participants découvrent et déploient des éléments de solution, y compris des composants d'infrastructure tels que des réseaux, des machines virtuelles et des services d'applications. Vous découvrirez comment utiliser Google Cloud via la console et Cloud Shell. Vous en apprendrez également plus sur le rôle d'un architecte cloud, sur les approches de la conception d'infrastructure et sur la configuration de réseaux virtuels avec Virtual Private Cloud (VPC), les projets, les réseaux, les sous-réseaux, les adresses IP, les routes et les règles de pare-feu.
Do you realize that the only functionality of a web application that the user directly interacts with is through the web page? Implement it poorly and, to the user, the server-side becomes irrelevant! Today’s user expects a lot out of the web page: it has to load fast, expose the desired service, and be comfortable to view on all devices: from a desktop computers to tablets and mobile phones.
This course provides a comprehensive introduction to webpage styling and layout using CSS. It will discuss how one can select and target specific HTML elements, apply styles using CSS properties, and interact with the CSS box model. Additionally, the course teaches key CSS concepts, including selectors, specificity, inheritance, units of measurement, positioning, and floats. The course will also cover responsive design principles and how to use media queries to create websites that adapt to different screen sizes. Additionally, the course will introduce Bootstrap, a popular CSS framework, and demonstrates how to use its grid system to build responsive layouts efficiently. By the end of the course, learners have a solid foundation in CSS and be able to create visually appealing and responsive websites.
Mask Detector with Python & TensorFlow: Build & Deploy
By the end of this course, learners will be able to analyze images with OpenCV, build and train deep learning models with TensorFlow, design interactive applications, and deploy AI solutions on AWS.
This hands-on project-based course is designed for learners who want to move beyond theory and apply machine learning to a real-world challenge: COVID-19 mask detection. Starting with the fundamentals of image handling, resizing, and annotation, learners progress into face detection techniques using Haar Cascades and explore deep learning with Convolutional Neural Networks. The course emphasizes practical skills, guiding participants step by step from data preprocessing to building a functional mask detection app.
A unique feature of this course is its end-to-end workflow: not only will learners train an efficient MobileNetV2 model, but they will also integrate it into an interactive front-end application and deploy it to AWS for global accessibility. This complete journey—from concept to cloud—ensures learners gain both technical knowledge and professional deployment skills.
Whether you’re an aspiring data scientist, AI enthusiast, or developer aiming to add practical deep learning projects to your portfolio, this course provides a comprehensive, real-world learning experience.
This is a self-paced lab that takes place in the Google Cloud console.
In this hands-on lab you will import existing infrastructure, write Terraform configuration that matches that infrastructure, and manipulate state storage with Terraform.
O Gemini para Google Workspace é um complemento que oferece aos clientes acesso a recursos de IA generativa na nossa plataforma. Neste minicurso, você vai conhecer as principais funcionalidades do Gemini e como elas podem ser usadas para melhorar a produtividade e a eficiência nas Planilhas Google.
This course is a continuation of the Introduction to Software Development and Applications course. In this course, you will dive further into exploring software engineering techniques and their application to real-world business problems. Students who take this course will be equipped with practical design and programming techniques for the purpose of modeling significant business applications quickly.
In this course you will learn about constructing domain models. You will also refine your skills to employ systems thinking, the object-oriented paradigm, the visual programming technique, as well as productivity tools to put together complicated, powerful designs. We will practice simple and smart ways of making software programming enjoyable.
Embark on a journey through the realm of market research, where data uncovers stories and trends reveal opportunities. This short course is designed for professionals who aspire to master the craft of market research, enabling them to make informed business decisions. Whether you're a marketing professional, business owner, product manager, student, data analyst, sales specialist, or someone in the realm of advertising and PR, this course will equip you with a foundational understanding of market research methodologies and their practical applications. Dive into the art of identifying market trends and measuring customer preferences, all while honing your analytical skills. With a prerequisite of basic communication, computer skills, and an analytical mindset, this course is perfect for busy individuals seeking to enhance their market insight swiftly and efficiently. Get ready to transform data into strategy and elevate your business acumen in this course.
