Generative AI for Business Leaders
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How Google does Machine Learning
Our Courses
Threat Response
If you are an associate-level cybersecurity analyst who is working in security operation centers, this course will help you understand threat response. By the end of the course, you will be able to: \t\t\t\t\t\t\t\t\t• Explain the purpose of incident response planning • Describe the typical incident response life cycle • Describe the typical elements within an incident response policy • Describe how incidents can be classified.
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Course by
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Self Paced
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8 hours
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English
Fundamentals of Operations, 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.
In this course, you will learn about operations management and identify and refine your own business operations and processes. You will explore how these can be developed and managed, both to maximise customer satisfaction and support business growth.
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Course by
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Self Paced
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4 hours
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English
Cloud Application Development Foundations
This program will equip you with all the key skills and technical know-how to kickstart your career as a full-stack Cloud Native Developer. Guided by experts at IBM, you will learn to build your own cloud-based applicati…
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Course by
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Self Paced
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English
Excel Skills for Business Forecasting
The current state of the world makes business forecasting even more fundamental to the operation of institutions. In this Specialization we focus on Excel Skills for Business Forecasting in three courses — Time Series Mo…
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Course by
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Self Paced
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English
Cloud Machine Learning Engineering and MLOps
Welcome to the fourth course in the Building Cloud Computing Solutions at Scale Specialization! In this course, you will build upon the Cloud computing and data engineering concepts introduced in the first three courses to apply Machine Learning Engineering to real-world projects. First, you will develop Machine Learning Engineering applications and use software development best practices to create Machine Learning Engineering applications. Then, you will learn to use AutoML to solve problems more efficiently than traditional machine learning approaches alone.
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Course by
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Self Paced
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12 hours
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English
Customer Experiences with Contact Center AI - Dialogflow CX
In this series, learn how to design customer conversations using Contact Center Artificial Intelligence (CCAI). You’ll use Dialogflow CX to create virtual agents and test them using the simulator. Learn to add functional…
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Course by
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Self Paced
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English
Accelerated Computer Science Fundamentals
Topics covered by this Specialization include basic object-oriented programming, the analysis of asymptotic algorithmic run times, and the implementation of basic data structures including arrays, hash tables, linked lis…
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Course by
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Self Paced
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English
First Steps in Visme
By the end of this project, you will have learned how to create and design simple projects using the free version of Visme.
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Course by
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Self Paced
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3 hours
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English
Foundations of Global Health
This specialization is intended for people working or aspiring to work in global health programming. You will learn the foundational building blocks of effective program planning, implementation, and evaluation in a vari…
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Course by
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Self Paced
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English
Presenting Data Using Charts with Canva
By the end of this project, you will be able to use Canva to create a presentation that uses charts to present data.
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Course by
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Self Paced
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4 hours
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English
SQL for Data Science with R
Much of the world's data resides in databases. SQL (or Structured Query Language) is a powerful language which is used for communicating with and extracting data from databases. A working knowledge of databases and SQL is a must if you want to become a data scientist.
The purpose of this course is to introduce relational database concepts and help you learn and apply foundational knowledge of the SQL and R languages. It is also intended to get you started with performing SQL access in a data science environment.
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Course by
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Self Paced
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28 hours
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English
Mergers and Acquisitions
In a post-pandemic world, companies across the globe are constantly looking to expand and grow their businesses. Mergers and Acquisitions (M&A) offers many ways to achieve this goal. Through this 6-course specialization …
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Course by
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Self Paced
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English
Introduction to Computational Statistics for Data Scientists
The purpose of this series of courses is to teach the basics of Computational Statistics for the purpose of performing inference to aspiring or new Data Scientists. This is not intended to be a comprehensive course that …
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Course by
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Self Paced
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English
Connect to Cloud SQL from an Application in Kubernetes Engine
This is a self-paced lab that takes place in the Google Cloud console. This lab shows how easy it is to connect an application in Kubernetes Engine to a Cloud SQL instance using the Cloud SQL Proxy container as a sidecar container. You will deploy a Kubernetes Engine cluster and a Cloud SQL Postgres instance and use the Cloud SQL Proxy container to allow communication between them.
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Course by
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Self Paced
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1 hour
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English
Internet of Things and AI Cloud
This Specialization covers the development of Internet of Things (IoT) products and services—including devices for sensing, actuation, processing, and communication—to help you develop skills and experiences you can empl…
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Course by
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Self Paced
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English
Key Technologies in Data Analytics
This specialization aims to prepare you for a role working in data analytics. The first course is Fundamentals of Data Analysis. You’ll be introduced to core concepts and you’ll learn about the tools and skills required …
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Course by
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Self Paced
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English
Electronic Music Production
In the Electronic Music Production specialization, you will learn the tricks of the trade to create high-quality, professional sounding music. You’ll begin by learning about the nature of sound and how a signal flows thr…
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Course by
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Self Paced
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English
Interpretable Machine Learning Applications: Part 1
In this 1-hour long project-based course, you will learn how to create interpretable machine learning applications on the example of two classification regression models, decision tree and random forestc classifiers.
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Course by
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Self Paced
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3 hours
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English
IBM Data Topology
Every business and organization is facing new challenges with their data. Pressures related to regulation and compliance, leveraging AI, spanning multicloud environments, and increasing volumes of inaccessible data are forcing executives and administrators to either modernize their infrastructures or become obsolete. But moving to the latest technology in a monolithic architecture is a tempting solution that can be expensive and cause more problems than it solves.
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Course by
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Self Paced
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6 hours
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English
Building Deep Learning Models with TensorFlow
The majority of data in the world is unlabeled and unstructured. Shallow neural networks cannot easily capture relevant structure in, for instance, images, sound, and textual data. Deep networks are capable of discovering hidden structures within this type of data. In this course you’ll use TensorFlow library to apply deep learning to different data types in order to solve real world problems.
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Course by
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Self Paced
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7 hours
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English
Essentials of Corporate Finance
You will gain a firm understanding of corporate finance, including accounting principles and financial analysis, how value is created by global markets, the choices firms face when making financial decisions and defining…
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Course by
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Self Paced
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English
Linear Circuits 1: DC Analysis
This course explains how to analyze circuits that have direct current (DC) current or voltage sources. A DC source is one that is constant. Circuits with resistors, capacitors, and inductors are covered, both analytically and experimentally. Some practical applications in sensors are demonstrated.
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Course by
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Self Paced
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85 hours
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English
Leveraging Mentions and Threads in Slack
By the end of this project, you will learn how to optimize organizational communications with Slack, a business communications platform.
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Course by
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Self Paced
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3 hours
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English
Create Machine Learning Models in Microsoft Azure
Machine learning is the foundation for predictive modeling and artificial intelligence. If you want to learn about both the underlying concepts and how to get into building models with the most common machine learning tools this path is for you. In this course, you will learn the core principles of machine learning and how to use common tools and frameworks to train, evaluate, and use machine learning models.
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Course by
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Self Paced
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13 hours
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English
Social Media Marketing in Practice
Welcome to the Digital Marketing Institute, the global standard in Digital Marketing certification. Over 4.6 billion people globally are using social media in 2022. This explosive growth, coupled with the speed of innov…
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Course by
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Self Paced
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English