Generative AI for Business Leaders
Advertising with Meta
How Google does Machine Learning
Our Courses
Anatomy
In this Specialization you will explore human anatomy using a systems approach, and a vast library of multimedia materials, so you may understand the features of different organ systems in relation to the human body’s form and function. This Specialization covers the following organ systems: Integumentary System Musculoskeletal System Cardiovascular System Respiratory System Urinary System Nervous System Gastrointestinal System Reproductive System Endocrine System This Specialization takes advantage of a highly visual multimedia library of accurate anatomical models and materials to
-
Course by
-
Self Paced
-
English
CNNs with TensorFlow: Basics of Machine Learning
In this 90-min long project-based course you will learn how to use Tensorflow to construct neural network models. Specifically, we will design, execute, and evaluate a neural network model to help a retail company with their marketing campaign by classifying images of clothing items into 10 different categories. Throughout this course, you will learn how to use Tensorflow to build and analyze neural neural networks that can perform multi-label classification for applications in image recognition.
-
Course by
-
Self Paced
-
3 hours
-
English
Identifying Community Needs for Public Library Management
Learn how to conduct research, surveys, and interviews as well as how to analyze data to better assess the local needs and wants of a public library community.
-
Course by
-
Self Paced
-
English
Managing a Diverse and Inclusive Workplace for Public Libraries
Learn management skills to support workplace diversity and inclusion in a public library setting.
-
Course by
-
Self Paced
-
English
Budgeting and Finance for Public Libraries
Understand financial concepts as well as effective practices in budgeting and auditing for library managers at all levels.
-
Course by
-
Self Paced
-
English
Infrastructure Management for Public Libraries
Learn how library managers and directors make key operational decisions regarding maintenance, insurance, technology, and more.
-
Course by
-
Self Paced
-
English
Strategic Planning for Public Libraries
Learn how to develop, implement, and adapt a strategic plan to fit the needs of your library.
-
Course by
-
Self Paced
-
English
Public Library Marketing and Public Relations
Learn how to develop effective marketing and PR strategies to help share your library’s programs, services, and value with the broader community.
-
Course by
-
Self Paced
-
English
Analyzing Data with Python
In this course, you will learn how to analyze data in Python using multi-dimensional arrays in numpy, manipulate DataFrames in pandas, use SciPy library of mathematical routines, and perform machine learning using scikit-learn!
-
Course by
-
15
-
English
Deep Learning Fundamentals with Keras
New to deep learning? Start with this course, that will not only introduce you to the field of deep learning but give you the opportunity to build your first deep learning model using thepopular Keras library.
-
Course by
-
30
-
English
Data Science for Construction, Architecture and Engineering
This course introduces data science skills targeting applications in the design, construction, and operations of buildings. You will learn practical coding within this context with an emphasis on basic Python programming and the Pandas library.
-
Course by
-
5
-
English
Building React and ASP.NET MVC 5 Applications
Welcome to the Building React and ASP.NET MVC 5 Applications specialization! This series of courses is designed to help you develop the skills you need to build modern web applications using the powerful combination of React and ASP.NET MVC 5. The specialization starts with ASP.NET & MVC 5 Foundation, where you will learn the basics of ASP.NET and MVC 5.. You will also explore C# Programming Fundamentals, which is essential for developing applications using the .NET framework. The second course in the specialization is Frontend Development using React.
-
Course by
-
Self Paced
-
English
FPGA computing systems: Background knowledge and introductory materials
This course is for anyone passionate in learning how a hardware component can be adapted at runtime to better respond to users/environment needs. This adaptation can be provided by the designers, or it can be an embedded characteristic of the system itself.
-
Course by
-
Self Paced
-
46 hours
-
English
Data Engineering and Machine Learning using Spark
NOTE: This course is currently replaced with IBM Machine Learning with Apache Spark.
Further your data engineering career with this self-paced course about machine learning with Apache Spark! Organizations need skilled, forward-thinking Big Data practitioners who can apply their business and technical skills to unstructured data such as tweets, posts, pictures, audio files, videos, sensor data, and satellite imagery and more to identify behaviors and preferences of prospects, clients, competitors, and others.
-
Course by
-
Self Paced
-
8 hours
-
English
Women Making History: Ten Objects, Many Stories
Learn how American women created, confronted, and embraced change in the 20th century while exploring ten objects from Radcliffe’s Schlesinger Library.
-
Course by
-
Self Paced
-
8
-
English
Scikit-Learn to Solve Regression Machine Learning Problems
Hello everyone and welcome to this new hands-on project on Scikit-Learn for solving machine learning regression problems. In this project, we will learn how to build and train regression models using Scikit-Learn library. Scikit-learn is a free machine learning library developed for python. Scikit-learn offers several algorithms for classification, regression, and clustering. Several famous machine learning models are included such as support vector machines, random forests, gradient boosting, and k-means. This project is practical and directly applicable to many industries.
-
Course by
-
Self Paced
-
3 hours
-
English
Reporting Application Metrics into Cloud Monitoring
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will run an application on Compute Engine instance and report the application’s metrics into Cloud Monitoring using the OpenCensus library.
-
Course by
-
Self Paced
-
1 hour
-
English
Parallel programming
With every smartphone and computer now boasting multiple processors, the use of functional ideas to facilitate parallel programming is becoming increasingly widespread. In this course, you'll learn the fundamentals of parallel programming, from task parallelism to data parallelism. In particular, you'll see how many familiar ideas from functional programming map perfectly to to the data parallel paradigm.
-
Course by
-
Self Paced
-
33 hours
-
English
Data Visualization with Python
In today's data-driven world, the ability to create compelling visualizations and tell impactful stories with data is a crucial skill. This comprehensive course will guide you through the process of visualization using coding tools with Python, spreadsheets, and BI (Business Intelligence) tooling.
-
Course by
-
Self Paced
-
3 hours
-
English
APIs in Java: Call and Integrate an API
As a Java backend developer, why is it important to use rest endpoint? REST is a logical choice for building APIs that allow users to connect to, manage and interact with cloud services flexibly in a distributed environment. RESTful APIs are used by such sites as Amazon, Google, LinkedIn and Twitter. In this intermediate 90-minute project, you will utilize an API in your java application, create method headers for APIs, pass arguments to your java APIs, incorporate Java methods into a Java API application, and use the Java collection library in a Java application.
-
Course by
-
Self Paced
-
3 hours
-
English
Introduction to High-Throughput Materials Development
This course is an introduction to high-throughput experimental methods that accelerate the discovery and development of new materials. It is well recognized that the discovery of new materials is the key to solving many technological problems faced by industry and society. These problems include energy production and utilization, carbon capture, tissue engineering, and sustainable materials production, among many others. This course will introduce the learner to a remarkable new approach to materials discovery and characterization: high-throughput materials development (HTMD).
-
Course by
-
Self Paced
-
16 hours
-
English
Introduction to Deep Learning & Neural Networks with Keras
Looking to start a career in Deep Learning? Look no further. This course will introduce you to the field of deep learning and help you answer many questions that people are asking nowadays, like what is deep learning, and how do deep learning models compare to artificial neural networks?
-
Course by
-
Self Paced
-
8 hours
-
English
Exploratory Data Analysis for the Public Sector with ggplot
Learn about the core pillars of the public sector and the core functions of public administration through statistical Exploratory Data Analysis (EDA). Learn analytical and technical skills using the R programming language to explore, visualize, and present data, with a focus on equity and the administrative functions of planning and reporting. Technical skills in this course will focus on the ggplot2 library of the tidyverse, and include developing bar, line, and scatter charts, generating trend lines, and understanding histograms, kernel density estimations, violin plots, and ridgeplots.
-
Course by
-
Self Paced
-
18 hours
-
English
Build a Data Science Web App with Streamlit and Python
Welcome to this hands-on project on building your first data science web app with the Streamlit library in Python.
-
Course by
-
Self Paced
-
2 hours
-
English
Parallel, Concurrent, and Distributed Programming in Java
Parallel, concurrent, and distributed programming underlies software in multiple domains, ranging from biomedical research to financial services. This specialization is intended for anyone with a basic knowledge of sequential programming in Java, who is motivated to learn how to write parallel, concurrent and distributed programs. Through a collection of three courses (which may be taken in any order or separately), you will learn foundational topics in Parallelism, Concurrency, and Distribution.
-
Course by
-
Self Paced
-
English