Generative AI for Business Leaders
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How Google does Machine Learning
Our Courses
Reason and Persuasion: Thinking Through Three Dialogues By Plato
In this course we study the ancient, Socratic art of blowing up your beliefs as you go, to make sure they're built to last. We spend six weeks studying three Platonic dialogues - "Euthyphro", "Meno", "Republic" Book I - then two weeks pondering a pair of footnotes to Plato: contemporary moral theory and moral psychology.
Platonic? Socratic? Socrates was the teacher, but he said he never did. Plato was the student who put words in his teacher's mouth. You'll get a feel for it.
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Course by
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Self Paced
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33 hours
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English
Data Visualization using dplyr and ggplot2 in R
Welcome to this project-based course Data Visualization using ggplot2 and dplyr in R.
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Course by
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Self Paced
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3 hours
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English
Introduction to AWS Cloud Careers
This course introduces technical roles in the AWS Cloud and explains why the Public Cloud Computing model is the new normal. The instructors teach some of the terminologies that are needed to start a Cloud learning journey, covering topics such as the difference between IaaS, PaaS and SaaS, Cloud Computing models (Public, Private and Hybrid Cloud), what are APIs (and why they are important), elasticity, horizontal and vertical scaling.
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Course by
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Self Paced
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4 hours
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English
European Citizenship – Development, Scope, and Challenges
All citizens in the EU are granted a European Citizenship on top of their national citizenship. Which rights and opportunities does this supra- and transnational citizenship provide? And what are the challenges and dilemmas of the two-level citizenship – for individuals, for the member states and for the union? This course examines the development, the scope and the challenges of European Citizenship.
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Course by
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Self Paced
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English
Methods for Solving Problems
In this course, we will explore different types of problems, the boundaries of what makes a problem solvable, and the different algorithms, rules, and heuristics we can implement to solve these problems.
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Course by
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Self Paced
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7 hours
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English
Encoder-Decoder Architecture - 繁體中文
本課程概要說明解碼器與編碼器的架構，這種強大且常見的機器學習架構適用於序列對序列的任務，例如機器翻譯、文字摘要和回答問題。您將認識編碼器與解碼器架構的主要元件，並瞭解如何訓練及提供這些模型。在對應的研究室逐步操作說明中，您將學習如何從頭開始使用 TensorFlow 寫程式，導入簡單的編碼器與解碼器架構來產生詩詞。
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Course by
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Self Paced
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English
Connecting to Devices and Networks
Practice managing devices and networks without installing anything!
This course is designed for learners with no technical experience, providing a solid foundation of connecting to devices and networks. Learners will gain hands-on practice on an Ubuntu system that can be easily transferred to other Unix-based operating systems. The modules in this course cover managing devices and partitions, basic networking tools and name resolution, and securely transferring data over networks to create backups.
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Course by
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Self Paced
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7 hours
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English
Diabetes Disease Detection with XG-Boost and Neural Networks
In this project-based course, we will build, train and test a machine learning model to detect diabetes with XG-boost and Artificial Neural Networks.
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Course by
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Self Paced
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2 hours
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English
Linux Fundamentals
This course is the first of a series that aims to prepare you for a role working as an information technology professional. In this course, you will be introduced to the Linux operating system. You will learn about the licensing model and several Linux distributions. We will go through some services delivered in the Linux operating system. We will conclude this course by looking at how to search and analyze text using command line tools in the operating system.
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Course by
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Self Paced
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18 hours
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English
Business Model Canvas: A Tool for Entrepreneurs and Innovators (Project-Centered Course)
What you’ll achieve:
In this project-centered course*, you will use the Business Model Canvas innovation tool to approach either a personal or corporate challenge or opportunity. You’ll learn to identify and communicate the nine key elements of a business model: Customer Segments, Value Proposition, Channels, Customer Relationships, Key Resources, Key Activities, Key Partners, Revenue Streams, and Cost Structure.
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Course by
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Self Paced
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18 hours
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English
Business Analytics with Excel: Elementary to Advanced
A leader in a data driven world requires the knowledge of both data-related (statistical) methods and of appropriate models to use that data. This Business Analytics class focuses on the latter: it introduces students to analytical frameworks used for decision making though Excel modeling. These include Linear and Integer Optimization, Decision Analysis, and Risk modeling. For each methodology students are first exposed to the basic mechanics, and then apply the methodology to real-world business problems using Excel.
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Course by
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Self Paced
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23 hours
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English
Introduction to Architecting Smart IoT Devices
What will you learn?
Embedded Systems are so ubiquitous that some of us take them for granted: we find them in smartphones, GPS systems, airplanes, and so on. But have you ever wondered how these devices actually work? If so, you're in the right place!
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Course by
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Self Paced
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17 hours
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English
App Dev: Developing a Backend Service - Python
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will enhance the online Quiz application by developing a backend service to process user feedback and save scores.…
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Course by
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Self Paced
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English
Thinking About Care
Although all humans require care to develop and thrive, it is rarely the focus of academic studies. This course enriches learner’s understanding of this critical yet underappreciated facet of their lives by addressing such questions as: What is care? Who has traditionally provided it? How valued is care work? Does money take the care out of care work? In addition to advancing learner’s knowledge of the place of care in modern society and controversies surrounding it, Thinking About Care will give learners the opportunity to learn a strategy that surveys existing approaches to care.
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Course by
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Self Paced
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8 hours
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English
Effectively Dealing with Imbalance Classes
In this 2 hour guided project you will learn how to deal with imbalance classification problems in a profound manner, applying several resampling strategies and visualizing the effects of resampling on imbalance classification dataset.
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Course by
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Self Paced
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3 hours
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English
Datadog: Getting started with the Helm Chart
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to use the Datadog Helm Chart.
In this lab you will run the Datadog Agent in a Kubernetes cluster as a DaemonSet in order to start collecting your cluster and applications metrics, traces, and logs. You can deploy a Datadog Agent with a Helm chart or directly with a DaemonSet object YAML definition.
In this lab you will be explaining and using those options in a real cluster, checking in real time the features they enable.
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Course by
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Self Paced
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1 hour
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English
Conduct a 5 Whys Analysis in Miro
By the end of this project, you will be able to conduct a 5 Whys Analysis to engage in a focused discussion to uncover why a problem exists, identify the core issue that can be addressed, and arrive at possible solutions.
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Course by
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Self Paced
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3 hours
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English
Using Interfaces with C# in Unity
Interfaces are a staple of good programming. They are "blueprints" for functionality and allow your code to be much more versatile, portable and understandable.
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Course by
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Self Paced
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2 hours
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English
Child Care as a Business
This course is targeted toward individuals wishing to run a home-based child care center. It covers topics such as the fundamentals of an in-home childcare setting as a business; the importance of financial management of a child care center; the creation of a child care contract; and an exploration of how to set tuition rates.
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Course by
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Self Paced
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12 hours
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English
Approximation Algorithms
Many real-world algorithmic problems cannot be solved efficiently using traditional algorithmic tools, for example, because the problems are NP-hard. The goal of the Approximation Algorithms course is to become familiar with important algorithmic concepts and techniques needed to effectively deal with such problems. These techniques apply when we don't require the optimal solution to certain problems, but an approximation that is close to the optimal solution. We will see how to efficiently find such approximations.
Prerequisites:
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Course by
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Self Paced
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15 hours
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English
Connect with Diverse Audiences during a Public Health Crisis
Public health communicators have a duty to communicate health information with integrity, accuracy, and clarity. For messaging to be most effective, public health communicators must help their audiences draw meaningful connections with the information being shared, and connect with them in ways that foster trust and credibility.
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Course by
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Self Paced
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14 hours
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English
Graduate Admission Prediction with Pyspark ML
In this 1 hour long project-based course, you will learn to build a linear regression model using Pyspark ML to predict students' admission at the university.
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Course by
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Self Paced
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2 hours
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English
Digital Transformation with GC - Português Brasileiro
As pessoas estão muito animadas com a tecnologia de nuvem e a transformação digital, mas também ainda têm muitas dúvidas.
Exemplo: O que é a tecnologia de nuvem? O que significa transformação digital? Como a tecnologia de nuvem pode ajudar sua organização? Por onde começar?
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Course by
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Self Paced
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English
Supply Market Analysis
In this course you will learn some tools to evaluate supply markets from a Strategic level (e.g. Macro) (PESTLE) to Tactical level (e.g. Industry) (Supply Market Segmentation, Five Forces, Supply Chain Mapping) to Operational Level (Supplier) (Informational Sources, SWOT, Financial Analysis)
A total of seven "proven" tools will be provided.
All of these tools will help you develop the right strategies, reduce risks, and make the "right" supplier decisions.
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Course by
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Self Paced
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5 hours
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English
Introduction to Machine Learning on AWS
In this course, we start with some services where the training model and raw inference is handled for you by Amazon. We'll cover services which do the heavy lifting of computer vision, data extraction and analysis, language processing, speech recognition, translation, ML model training and virtual agents. You'll think of your current solutions and see where you can improve these solutions using AI, ML or Deep Learning. All of these solutions can work with your current applications to make some improvements in your user experience or the business needs of your application.
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Course by
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Self Paced
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7 hours
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English