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Learn from experts. Learn from industry leaders. Challenge yourself with earning a badge, certification or credential. UofL provides you access to a variety of digital learning resources. Select specific options or search below …
Featured Vendors
Accessibility fundamentals
Technology can empower people to achieve more, help strengthen education opportunities, and make the workplace more inviting and inclusive for people with disabilities. And with more than 1 billion people with disabilities in the world, Microsoft believes accessibility and inclusion are essential to delivering on our mission to empower every person and every organization on the planet to achieve more. Don’t forget to share your awards on social media after completing each module!
Add logic to C# console applications (Get started with C#, Part 3)
Examine the relationship between code blocks and variable scope, and deepen your C# coding experience with Boolean expressions, selection statements, and iteration statements.
Adjust process behavior using conditional actions with Power Automate for desktop
Conditional actions allow you to modify flow actions at runtime, based on information available in the environment.
Adobe Creative Cloud
All enrolled students and all employees of UofL now have free access to the Adobe Creative Cloud suite of products through Adobe Creative Campus.
Adobe Digital Badges
- Enroll in a short self-paced course on how to make the most of Adobe Creative Cloud.
- Gain industry insights from Adobe experts and complete course activities along the way.
- Receive your badge and certificate upon completion to showcase to your network.
Adobe Education Exchange
The Adobe Education Exchange is an online community and platform provided by Adobe for educators, teachers, and students around the world. It serves as a hub for learning, collaboration, and professional development in the field of digital creativity and education technology. The Education Exchange offers a wide range of resources, including courses, workshops, lesson plans, tutorials, and teaching materials, all aimed at integrating Adobe's creative tools into educational settings.
Adobe Learn
Learn from Adobe's official tutorials and courses to master tools like Photoshop, Illustrator, and InDesign. Whether you're a beginner or experienced, Adobe Learn provides step-by-step guides and video tutorials to elevate your creative skills.
Agile Explorer
This credential earner has a foundational understanding of the Agile values, principles, and practices that help change culture and behaviors in the way that people work. The individual can initiate an Agile conversation with team members and colleagues, and can apply the Agile method to the operations and programs work they do in a family, academic, or work environment.
AI Foundations
This credential earner has the key knowledge, skills, and values necessary to understand and work with artificial intelligence (AI), and is aware of the implications of AI for the future of work and society in general. The individual has applied their knowledge through an AI Design Challenge, using design thinking to create a prototype for an AI-powered solution that helps people improve their skills.
AI Foundations
This credential earner has the key knowledge, skills, and values necessary to understand and work with artificial intelligence (AI), and is aware of the implications of AI for the future of work and society in general. The individual has applied their knowledge through an AI Design Challenge, using design thinking to create a prototype for an AI-powered solution that helps people improve their skills.
Amazon Web Services Training and Certifications
Find learning material, courses, training and certifications on the Amazon Web Service portal.
Apache Pig 101
Learn about the two major components of Apache Pig: the first is the language itself, which is called PigLatin, and the second is the runtime environment where PigLatin programs are executed.
Applying Design Thinking to AI
Learn IBM’s AI Essentials Framework from experts, see an example in practice, and gather the resources you need to get started on your own project today.
Automate machine learning model selection with Azure Machine Learning
Learn how to use automated machine learning in Azure Machine Learning to find the best model for your data.
Automate repetitive tasks using loops in Power Automate for desktop
Loops are used to automate repetitive tasks by executing a block of actions multiple times.
AWS Systems Manager
In this course, you will be introduced to AWS Systems Manager and dive deep into real-world scenarios. Learn how Systems Manager management service helps you automatically collect software inventory, apply OS patches, and automate administration tasks and complex workflows. You will also see how to eliminate the need for bastion hosts to manage your resources. You will review capabilities including Run Command, State Manager, Inventory, Patch Manager, Maintenance Window, Automation, Parameter Store, Session Manager, OpsCenter, Explorer, Change Calendar, and Distributor.
Azure for Researchers part 1: Introduction to Cloud Computing
When you‘re working on research projects, it is helpful to have a basic understanding of cloud computing concepts. In this learning path of 9 modules (5h 50min), you’ll study the general terminology and services of cloud computing, which should be useful to you when you’re working on research tasks. You‘ll learn how to create a virtual machine and how to use it, and how to pick the best storage solution to persist your data.
Azure for Researchers part 2: Cloud Security and Cost Management
In this learning path of four modules (2h 22min), you‘ll learn how to ensure your Azure consumption is planned and predictable by using cost prediction and budgets, and how to ensure your application secrets and virtual machines are safe from unauthorized access.
Badge of the Month
Discover learning pathways and thematic content that change every month to help you finding the most interesting opportunities for your personal and professional growth. All micro-credentials and digital badges are available to students, faculty and staff at no cost!Complete digital badges/certifications and submit to the online form by the end of each month for a chance to win prizes with the Digital Transformation Center.
Badges & Microcredentials
Microcredentials acknowledge that learners have passed assessment components by an external vendor and are delivered over shorter and/or more flexible time spans. The Digital Transformation Center (DTC) gathers a collection of non-credit, vendor provided online courses from our partners that may lead to these credentials. Most badges on the linked page are free, but formal monitored vendor exam certifications (via the vendors themselves) might have a cost to take the test following the course.
Baseline: Data, ML, AI
Big data, machine learning, and artificial intelligence are today’s hot computing topics, but these fields are quite specialized and introductory material is hard to come by. Fortunately, Google Cloud provides user-friendly services in these areas, and with this introductory-level quest, so you can take your first steps with tools like Big Query, Cloud Speech API, and AI Platform
Basic Principles of Design
This credential earner understands foundational visual design elements including emphasis and contrast, color, balance, proportion, rule of thirds, alignment and proximity cohesion through repetition, and consistency. The individual can use these skills as a foundation to be applied in future projects at school or at work.
Best practices for Java apps on Azure
Start here and learn how you can: Monitor Java apps Automate end-to-end from idea to production for Java apps Tune Java apps Autoscale Java apps for higher utilization Secure access to and from Java apps, and Build using Java tools that you know and love
Big Data 101
How big is big and why does big matter and what does Apache Hadoop have to do with it? In this course you will see the Big Data big picture and you will learn the terminology used in Big Data discussions.
Big Data Foundations - Level 1
This badge earner has a basic understanding of Big Data concepts and their applications to gain insight for providing better service to customers. The earner understands that Big Data should be processed in a platform that can handle the variety, velocity, and the volume of data by using components that require integration and data governance.
Book a consultation with the Digital Transformation Center
Grab 30 minutes with us for an appointment to review appropriate vendor technology-related badges and how to embed them into courses or trainings for the community. Go to the booking page.
Build .NET applications with C#
.NET is a free, cross-platform, open source developer platform for building many different types of applications. With .NET, you can use multiple languages, editors, and libraries to build for web, mobile, desktop, games, and IoT.
Build a bot with the Language Service and Azure Bot Service
Bots are a popular way to provide support through multiple communication channels. This module describes how to use a knowledge base and Azure Bot Service to create a bot that answers user questions.
Build an IoT Blockchain Network for a Supply Chain
Learn how to use a an IoT Asset Tracking device, build a blockchain network, and configure a Node-RED dashboard to monitor a perishable network supply chain. You can also use a simulated tracker if you don't want to purchase and set up the hardware.
Build Power BI visuals and reports
Turn data into interactive, actionable insights with Power BI Desktop visuals and reports.
Build web pages with HTML and CSS for beginners
Write HTML and CSS code to create an accessible webpage using the browser-based version of Visual Studio Code.
Build Your Own Chatbot
This chatbot course provides a practical introduction that will teach you everything you need to know to plan, build, and deploy your first customer support chatbot. Leveraging the cognitive computing power of IBM Watson Assistant, you will be able to design your own chatbot without the need to write any code. You'll also learn how to quickly deploy your chatbot on WordPress-based sites
ChatGPT
Interested in learning more about ChatGPT? The Delphi Center has compiled some curated resources and events as a service to support teaching decisions along a range of faculty philosophical positions related to generative writing tools such as ChatGPT.
Cisco Networking Academy
Courses transform the lives of learners, educators and communities through the power of technology, education and career opportunities. Self-paced classes at NetAcad.com are free. Cost for Instructor-led classes is determined by the institution.
Clean, transform, and load data in Power BI
Power Query has an incredible amount of features that are dedicated to helping you clean and prepare your data for analysis. You will learn how to simplify a complicated model, change data types, rename objects, and pivot data. You will also learn how to profile columns so that you know which columns have the valuable data that you’re seeking for deeper analytics.
Cloud Core
This badge holder understands the basics of cloud technology and is able to describe cloud platforms and models including IaaS, PaaS, SaaS, Public, Private and Hybrid Multi clouds. The badge earner is familiar with essentials of cloud applications and terms like Virtualization, VMs, Containers, Object Storage, Microservices, Serverless, Cloud Native, and DevOps. The individual has also gained hands-on experience at creating a Cloud account and provisioning services on IBM Cloud.
Cloud Native Started Level 1
The badge earner understands the Java implementation of a Cloud Native RESTFul Java microservice built on open technologies MicroProfile and OpenLiberty. The individual can describe how to effectively build and run a microservice on a local machine in a container, and understands the steps needed to deploy a single microservice to Kubernetes and on the IBM Cloud Kubernetes service.
Cloud Native Starter Level 1
The badge earner understands the Java implementation of a Cloud Native RESTFul Java microservice built on open technologies MicroProfile and OpenLiberty. The individual can describe how to effectively build and run a microservice on a local machine in a container, and understands the steps needed to deploy a single microservice to Kubernetes and on the IBM Cloud Kubernetes service.
Cognitive Class
Explore courses in emerging technologies, including data science, AI, big data, cloud computing and blockchain. All courses and guided projects in Cognitive Class are free!
Collaborating with Microsoft Teams
Collaboration is a vital skill for today's work force. Learn how the robust features within Microsoft Teams allow you to stay connected and to work more efficiently with your team.
Configure exception and error handling in Power Automate for desktop
Exception handling is a mechanism that allows Power Automate for desktop to handle and recover from unexpected circumstances and issues that might occur during a flow run.
Configure flow control in Power Automate for desktop
The ability to alter the order in which actions and functions are implemented is called flow control. Power Automate for desktop enables flow control through the flow control actions.
Consume data with Power BI
Do you want to make business decisions backed by data? Learn how to do that in Power BI. Learn to work in Power BI to review and interact with this content to make business decisions from your PC or mobile device.
Containers & Kubernetes Essentials
This badge earner is able to build and run a container image and understands Kubernetes architecture. They know how to: write a YAML deployment file; expose deployment as a service; manage applications with Kubernetes; use ReplicaSets, auto-scaling, rolling updates and service binding; deploy services; and reap the benefits of OpenShift, Istio and other key tools.
Create a data-driven story with Power BI reports
Power BI helps you create vibrant, highly useful reports that form a cohesive, data-driven story. You’ll learn how to use buttons, bookmarks, and other navigation techniques. Additionally, you’ll learn how to integrate Power BI reports with other applications. Power BI visuals can interact with each other, letting the user see exactly which data is appealing to them. You’ll also explore Power BI report themes to create a unified reporting experience across all reports.
Create and Manage Cloud Resources
Earn a skill badge by completing the Create and Manage Cloud Resources quest, where you learn how to do the following: Write gcloud commands and use Cloud Shell, create and deploy virtual machines in Compute Engine, run containerized applications on Google Kubernetes Engine, and configure network and HTTP load balancers.
Create and manage workspaces in Power BI
Learn how to navigate the Power BI service, create and manage workspaces and related items, and distribute reports to users.
Create and run simple C# console applications (Get started with C#, Part 2)
Use Visual Studio Code to develop C# console applications that implement arrays, foreach loops, and if statements.
Create and use analytics reports with Power BI
This learning path introduces you to Power BI, and teaches you to use and build business intelligence reports.
Create apps, chatbots, flows, and more with Microsoft Dataverse and Teams
Microsoft Dataverse for Teams is a built-in, low-code data platform for Microsoft Teams that lets users build custom apps, bots, and flows in Microsoft Teams by using Power Apps, Power Virtual Agents, and Power Automate. Dataverse for Teams—built on Microsoft Dataverse—provides relational data storage, rich data types, enterprise-grade governance, and one-click solution deployment to the Microsoft Teams app store.
Create dashboards in Power BI
Microsoft Power BI dashboards are different than Power BI reports. Dashboards allow report consumers to create a single artifact of directed data that is personalized just for them. Dashboards can be composed of pinned visuals that are taken from different reports. Where a Power BI report uses data from a single dataset, a Power BI dashboard can contain visuals from different datasets.
Create methods in C# console applications (Get started with C#, Part 5)
Learn how to create methods for C# console applications. Use parameters and return values to manipulate data across applications. Learn to use named and optional arguments to simplify code.
Create paginated reports
Paginated reports allow report developers to create Power BI artifacts that have tightly controlled rendering requirements. Paginated reports are ideal for creating sales invoices, receipts, purchase orders, and tabular data. This module will teach you how to create reports, add parameters, and work with tables and charts in paginated reports.
Creating your first web apps with React
React.js is the most popular front-end JavaScript framework. Through JSX, a combination of HTML and JavaScript, developers are able to create views in a natural fashion. Developers can also create components for reusable blocks across their applications. This learning path will introduce you to React, and the core skills you need as a developer to use this powerful framework.
Cybersecurity Essentials
Learn valuable security principles to defend networks.
Cybersecurity Workforce Program
Unlock your cybersecurity potential with our cutting-edge online program! Gain essential industry skills and earn a non-credit workforce certificate, plus one or more digital badges from your chosen tech provider. Elevate your career now!
Data Privacy Fundamentals
Learn about privacy from 5 prominent cases of data breaches from 2012 to 2015, which highlight vulnerabilities in typical organizations.
Data Privacy Fundamentals
String together your understanding of Yet Another Resource Negotiator (YARN) by gaining exposure to MapReduce1, the tool-sets that start the processing of Big Data.
Data Science 101
The art of uncovering the insights and trends in data has been around since ancient times.
Data Science 101
Find out the truth about what Data Science is. Hear from real practitioners telling real stories about what it means to work in data science. This course was formerly named Data Science 101.
Data Science for Business - Level 1
This badge earner understands the relationship between collection and dissemination of data in technology. The individual also understands the public expectation of privacy and the legal and political issues surrounding them.
Data Science Foundations - Level 1
This badge earner has an understanding of the possibilities and opportunities that data science, analytics and big data bring to new applications in any industry.
Data Science Foundations - Level 2
This badge earner has a solid understanding of data science methodologies, and tools. The individual also has a hands-on appreciation of programming languages to use in data science tasks.
Data Science Methodologies
This badge earner understands the essential steps used in data science business and research problem solving. This includes problem definition, collecting and analyzing data, building relevant models and understanding model deployment results.
Data Science Methodology
In this course, you will learn: The major steps involved in tackling a data science problem. The major steps involved in practicing data science, from forming a concrete business or research problem, to collecting and analyzing data, to building a model, and understanding the feedback after model deployment. How data scientists think!
Data Science Tools
This badge earner is able to use Jupyter Notebooks including its features and popular tools used by R Programmers including RStudio IDE. The earner understands how to use various data science and data visualization tools hosted on Skills Network Labs. The individual is familiar with IBM Watson Studio including its features and capabilities, and can create and share a Jupyter Notebook.
Data Science Tools
Learn about the most popular data science tools, including how to use them and what their features are.
Data Science Tools
Learn about the most popular data science tools, including how to use them and what their features are.
Data Science with Scala
Put your Scala knowledge to good use by tackling Big Data analytics problems. Learn to leverage the integration of Apache Spark™ and Scala. Learn how use Spark’s machine learning pipelines to fit models and search for optimal hyperparameters using Scala in a Spark cluster.
DataOps Methodology
This badge earner is able to use the DataOps methodology for defining a repeatable and business-oriented framework to provide delivery of trusted data.
DataOps Methodology
In the DataOps Methodology course you will learn about best practices for defining a repeatable and business-oriented framework to provide delivery of trusted data.
Debug C# console applications (Get started with C#, Part 6)
Learn how to debug C# console applications in Visual Studio Code and how to implement exception handling using the try-catch pattern. Configure the C# debugger tools in Visual Studio Code and use the debugger tools to isolate and fix logic issues. Examine the exception types provided by .NET and the properties of exception objects, then implement exception handling and throw customized exception objects.
Deploy batch interference pipelines with Azure Machine Learning
Machine learning models are often used to generate predictions from large numbers of observations in a batch process. To accomplish this, you can use Azure Machine Learning to publish a batch inference pipeline.
Deploy real-time machine learning services with Azure Machine Learning
Learn how to register and deploy ML models with the Azure Machine Learning service.
Deploying and Managing Windows Workloads on Google Cloud
This course teaches you about deploying and managing Microsoft Windows® workloads on Google Cloud. This course uses lectures and hands-on labs to show you how to plan and configure Microsoft Windows Server and Microsoft SQL Server in Google Cloud. You will configure identity solutions including Managed Service for Microsoft Active Directory, deploy Windows workloads to Compute Engine and Google Kubernetes Engine, and learn to manage and operate Windows workloads with Cloud Console, Cloud Logging, and Cloud Monitoring.
Describe cloud computing
This module introduces you to cloud computing. It covers things such as cloud concepts, deployment models, and understanding shared responsibility in the cloud.
Design a data model in Power BI
The process of creating a complicated data model in Power BI is straightforward. If your data is coming in from more than one transactional system, before you know it, you can have dozens of tables that you have to work with. Building a great data model is about simplifying the disarray. A star schema is one way to simplify a data model, and you learn about the terminology and implementation of them in this module. You will also learn about why choosing the correct data granularity is important for performance and usability of your Power BI reports. Finally, you learn about improving performance with your Power BI data models.
Detect and mitigate unfairness in models with Azure Machine Learning
Machine learning models can often encapsulate unintentional bias that results in unfairness. With Fairlearn and Azure Machine Learning, you can detect and mitigate unfairness in your models.
Develop a security and compliance plan
Build strategies around security and compliance that enable you to authenticate and authorize your users, handle sensitive information, and enforce proper governance.
Developing Machine Learning Applications
In this curriculum, we’ll explore Amazon’s fully managed ML platform, Amazon SageMaker. Specifically, we’ll discuss how to train and tune models, how certain algorithms are built in, how you can bring your own algorithm, and how to build for particular use cases like recommender systems or anomaly detection.
Digital Literacy Train the Trainer
Online program for community members across the 26 Louisville districts. This program is designed to upskill our hand-selected community trainers, at no cost, by creating a foundational knowledge of three digital topics. $500 stipend available upon completion of the program.
Discover data analysis
Would you like to explore the journey of a data analyst and learn how a data analyst tells a story with data? In this module, you explore the different roles in data and learn the different tasks of a data analyst.
Discover how to foster an AI-ready culture in finance
This module is designed for finance and affiliated business decision-makers to illustrate the impact of making strategic decisions with AI. The goal is to enable you to think about AI transformation holistically, with a focus on the cultural changes necessary to make AI transformation successful.
Examine the Microsoft approach to artificial intelligence
This module is a starting point for business decision makers who want to understand how Microsoft is creating products, services, and solutions to help organizations leverage Artificial Intelligence (AI). We’ll also help you understand how these technologies relate to business problems.
Expand the capabilities for Java apps on Azure
Start here and learn how you can get the full power of Azure with your Java apps - use idiomatic libraries to connect and interact with your preferred cloud services
Explain machine learning models with Azure Machine Learning
Many decisions made by organizations and automated systems today are based on predictions made by machine learning models. It's increasingly important to be able to understand the factors that influence the predictions models make.
Explore and analyze data with Python
Data exploration and analysis is at the core of data science. Data scientists require skills in programming languages like Python to explore, visualize, and manipulate data.
Explore core data concepts
Data powers the digital transformation that is sweeping across organizations and society in general. But what is "data", and how is it represented and used?
Explore Emerging Tech
This credential earner has an understanding of six emerging technologies that power today's jobs: AI, blockchain, cloud computing, cybersecurity, data and analytics, and the Internet of Things. The individual knows foundational concepts, terminology, and how technologies are applied to solve problems in organizations and business. The earner can use this knowledge to explore careers in tech.
Exploring Spark's GraphX
Spark provides a graph-parallel computation library in GraphX. Graph-parallel is a paradigm that allows representation of your data as vertices and edges. Spark's GraphX provides a set of fundamental operators in addition to a growing collection of algorithms and builders to simplify graph analytics tasks.
Generate Power Automate for desktop flows by recording
The recorder can be used to automatically generate blocks of actions, based on the user's interaction with the workstation.
Get and transform data with Power BI
The first step to insights begins in Power BI Desktop where you connect to and transform your data in preparation for data modeling. Start here to learn how to ingest and transform data in Power BI.
Get data in Power BI
You'll learn how to retrieve data from a variety of data sources, including Microsoft Excel, relational databases, and NoSQL data stores. You'll also learn how to improve performance while retrieving data.
Get started building with Power BI
Learn what Power BI is, including its building blocks and how they work together.
Get started with AI on Azure
With AI, we can build solutions that seemed like science fiction a short time ago; enabling incredible advances in health care, financial management, environmental protection, and other areas to make a better world for everyone.
Get started with design thinking
Throughout this course, you will learn the theory of Enterprise Design Thinking from experts and see real examples.
Get started with Java on Azure
Start here and learn how you can build, migrate and scale Java applications on Azure using Azure services. Use tools and frameworks that you know and love – Spring, Tomcat, WildFly, JBoss, WebLogic, WebSphere, Maven, Gradle, IntelliJ, Eclipse, Jenkins, Terraform and more.
Get started with Power Automate for desktop
Get started with Power Automate for desktop by learning about flows, creating automated steps, and flow development essentials.
Get started with Power BI
Begin exploring the fundamentals of Power BI interactive reports and the web-based Power BI service for your business.
Get started with the Linux command line and the Shell
The command line is something you will interact with often when using Linux, both as a developer and admin. Knowing how it works and what commands you can use can greatly increase your productivity. In this learning path, you will get started with the Linux command line.
Getting Started with AI using IBM Watson
In this course you will learn how to quickly and easily get started with Artificial Intelligence using IBM Watson. You will understand how Watson works, become familiar with its use cases and real life client examples, and be introduced to several of Watson AI services from IBM that enable anyone to easily apply AI and build smart apps. You will also work with several Watson services to demonstrate AI in action.
Google - Grow with Google
Free training, tools, and resources to help you grow your skills, career, or business. You can learn practical digital skills, or you can learn to code through quick lessons on your phone, even without any previous experience. Learn more on their website
Google Cloud
Through Google Cloud Certificates, skill badges and certifications, gain the in-demand cloud skills to build your future and prepare for the cloud of tomorrow.
Google Cloud Skills Boost
Offers online courses to help learners gain digital skills or prepare to run online businesses. Some of the training materials are free, some others (like labs) will require to purchase an individual subscription or credits to be able consume the labs.
Google Developer platforms
Through Google Cloud Certificates, skill badges and certifications, gain the in-demand cloud skills to build your future and prepare for the cloud of tomorrow.
Google Learning
Offers online courses with free certificates or badges to help learners gain digital skills. When you enroll into most courses, you will be able to consume course materials like videos and documents for free. If a course consists of labs, you will need to purchase an individual subscription or credits to be able consume the labs.
Google Skillshop
Google Skillshop is an online platform provided by Google that offers a variety of courses and certifications related to Google products and services. It serves as a centralized hub for individuals, professionals, and businesses to learn about topics such as Google Ads, Google Analytics, Google Marketing Platform, Google Cloud, and more. The courses range from introductory levels to advanced levels, catering to users with varying levels of expertise and experience.
Grant Project Management Consultation
Grab 30 minutes for an initial consultation to discuss and assess what you need to optimize your grant project management system. Contact us for additional information or click to book your time slot
Hadoop 101
This beginner Apache Hadoop course introduces you to Big Data concepts, and teaches you how to perform distributed processing of large data sets with Hadoop.
Hadoop Data Access - Level 1
The badge earner has demonstrated the ability to use Hive, and also the ability to use Hive QL to access data on Hadoop.
Hadoop Foundations - Level 1
This badge earner has a basic understanding of Hadoop. The earner can describe what Big Data is and the need for Hadoop to be able to process that data in a timely manner. The individual can describe the Hadoop architecture and how to work with the Hadoop Distributed File System (HDFS) using IBM BigInsights.
Hadoop Programming - Level 1
The badge earner demonstrates the ability to use programming concepts provided by the various technologies in the Hadoop ecosystem including, but not limited to MapReduce.
Handle Variables in Power Automate for desktop
In flow development, you may need to reuse information in various actions. Variables act like storage bins that save valuable information for later use when a flow is running.
Hosting a Web App on Google Cloud Using Compute Engine Azure
This is a self-paced lab that takes place in the Google Cloud console.In this lab, you’ll deploy and scale a Web App on Google Compute Engine.
IBM Cloud Essentials
This badge earner is able to relate how the IBM Cloud enables the different service (IaaS, PaaS, SaaS) models and different deployment (Public, Hybrid, Private) models of cloud computing. They know how to: access the IBM Cloud using various tools and interfaces; discover appropriate IBM Cloud products or services available for specific functionality; articulate the different ways IBM Cloud delivers services to developers and operational teams; and summarize core groups of available services.
IBM Cloud Essentials V3
Get hands-on experience with IBM Cloud, Cloud Foundry, and best practices for agile and test-driven development.
IBM Cloud VMware Essentials
This badge earner has developed the fundamental concepts of IBM Cloud for VMware Solutions including common use cases, the IBM Cloud for VMware Solutions portfolio of offerings, the IBM and Client shared responsibilities model, and architecture design options to consider when designing an IBM Cloud for VMware Solution. This achievement is a stepping-stone to earning the ICCT IBM Cloud for VMware Specialty certification.
IBM Skills Build
Through IBM SkillsBuild, students, educators, job seekers, and the community can access free digital learning, resources, and support focused on the core technology and workplace skills needed to succeed in 'new collar' jobs. They'll be able to visit the new IBM SkillsBuild website and opt into the learning experience that's right for them.
IBM Storage and Cloud Essentials
This badge earner has developed an understanding of cloud computing and its features and how they can be applied within an IT storage environment which includes IBM Storage. They have an understanding of the basics of cloud computing, the product architecture of OpenStack, the cloud products within IBM, and how to integrate these with IBM Storage products.
IBM Storage and Cloud Essentials
This badge earner has developed an understanding of cloud computing and its features and how they can be applied within an IT storage environment which includes IBM Storage. They have an understanding of the basics of cloud computing, the product architecture of OpenStack, the cloud products within IBM, and how to integrate these with IBM Storage products.
IBM Training
Find certification and all other skills-related credential information on this IBM platform that provides free training for everyone.
Identify guiding principles for responsible AI
At Microsoft, we’ve recognized six principles that we believe should guide AI development and use — fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability. For us, these principles are the cornerstone of a responsible and trustworthy approach to AI, especially as intelligent technology becomes more prevalent in the products and services we use every day. We recognize that every individual, company, and region will have their own beliefs and standards that should be reflected in their AI journey. We want to share our perspective as you consider developing your own guiding principles.
Implement row-level security
Row-level security (RLS) allows you to create a single or a set of reports that targets data for a specific user. In this module, you'll learn how to implement RLS by using either a static or dynamic method and how Microsoft Power BI simplifies testing RLS in Power BI Desktop and Power BI service.
Information Technology Certification Pathways (ITCP)
This program offers workshops to prepare students for CompTIA Security+, CompTIA IT Fundamentals+, and Cisco Certified Network Associate (CCNA). The workshops and the learning coaches help prepare participants to take and pass the industry recognized certifications that will prepare them for high-demand and high-paying jobs in IT and Cybersecurity.
Integrate with Machine Learning APIs
Earn a skill badge by completing the Integrate with Machine Learning APIs quest, where you learn the basic features for the following machine learning and AI technologies: Cloud Vision API, Cloud Cloud Translation API, and Cloud Natural Language API.
Introduction to AI technology
In this learning path, business leaders will find the knowledge and resources to adopt AI in their organizations. It explores planning, strategizing, and scaling AI projects in a responsible way.
Introduction to Artificial Intelligence (AI)
You will learn how to: - Describe what is AI, its applications, use cases, and how it is transforming our lives - Explain terms like Machine Learning, Deep Learning and Neural Networks - Describe several issues and ethical concerns surrounding AI - Articulate advice from experts about learning and starting a career in AI
Introduction to Cloud
This course introduces you to the core concepts of cloud computing. You will gain the foundational knowledge required for understanding cloud computing from both business and practitioner perspectives.
Introduction to Containers, Kubernetes, and OpenShift V2
This course introduces the core concepts of Containers and Kubernetes and explains how containers differ from virtual machines. It also covers the importance of containers in cloud computing as well as the emerging ecosystem of related technologies such as Docker, Kubernetes, OpenShift, Istio and Knative.
Introduction to creating measures using DAX in Power BI
Data Analysis Expressions (DAX) is a programming language that is used throughout Microsoft Power BI for creating calculated columns, measures, and custom tables. It is a collection of functions, operators, and constants that can be used in a formula, or expression, to calculate and return one or more values. You can use DAX to solve a number of calculations and data analysis problems, which can help you create new information from data that is already in your model.
Introduction to Cybersecurity
This introductory course takes you inside the world of cybersecurity. You will learn cybersecurity basics to protect your personal digital life and gain insights into the biggest security challenges companies, governments, and educational institutions face
Introduction to Generative AI
This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps.
Introduction to Image Generation
This course introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space. Diffusion models draw inspiration from physics, specifically thermodynamics. Within the last few years, diffusion models became popular in both research and industry. Diffusion models underpin many state-of-the-art image generation models and tools on Google Cloud. This course introduces you to the theory behind diffusion models and how to train and deploy them on Vertex AI.
Introduction to Large Language Models
This is an introductory level micro-learning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. It also covers Google tools to help you develop your own Gen AI apps.
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.
Introduction to Power BI administration
Understand Power BI licensing and environment management, including the responsibilities of an administrator and setting up a Power BI tenant.
Introduction to Responsible AI
This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it's important, and how Google implements responsible AI in their products. It also introduces Google's 7 AI principles.
Introduction to the Azure Machine Learning SDK
Azure Machine Learning provides a cloud-based platform for training, deploying, and managing machine learning models.
Introduction to version control with Git
Git is the leading version control tool, and it's essential for developers. Learn how to use Git to track your own changes and collaborate with others.
Kentucky Teachers Train the Trainer
Online program for K-12 Kentucky Teachers. This program is designed to promote digital upskilling/reskilling of Kentucky Teachers creating a foundational knowledge of Microsoft Power BI and training of other community members. $500 stipend upon completion of the program.
LinkedIn Learning
LinkedIn Learning is an industry leader in online training, offering a digital library of over 6,000 courses covering a wide range of technical, business, software, and creative topics. Sharpen your skills on your schedule with expert-led instruction from any device, anywhere.
Linkedin Learning - Free digital skills for all
LinkedIn and Microsoft have teamed up to provide free courses to help you keep your skills relevant. Check all the opportunities available at no cost.
Disclaimer! UofL students, faculty and staff have FREE access to the full catalog, using their UofL Credentials. Go to our Linkedin page to learn more.
Machine Learning Security
This curriculum covers the AWS products and services that enable you to secure your applications and environments with specific topics detailing NACLs, security groups, AWS identity and access management, and encryption key management.
Machine Learning with Python
This Machine Learning with Python course dives into the basics of machine learning using an approachable, and well-known, programming language. You'll learn about Supervised vs Unsupervised Learning, look into how Statistical Modeling relates to Machine Learning, and do a comparison of each.
Manage a Project with Digital Tools
Plan a team project, track its progress and costs, and prepare a summary report using digital tools.
Manage datasets in Power BI
With Microsoft Power BI, you can use a single dataset to build many reports. Reduce your administrative overhead even more with scheduled dataset refreshes and resolving connectivity errors.
MapReduce and Yarn
String together your understanding of Yet Another Resource Negotiator (YARN) by gaining exposure to MapReduce1, the tool-sets that start the processing of Big Data.
MATLAB
You can access the tutorials, courses or download the software. Free to UofL students, faculty and researchers, MATLAB can be considered transformative for mathematicians, scientists and engineers.
Microsoft Azure for Research (on LinkedIn Learning)
Sign up for LinkedIn Learning and join this group for computer scientists and scientific researchers interested in using cloud computing for research. Microsoft Azure for Research is an initiative from Microsoft Research to help the research community use the cloud to advance scientific discovery.
Microsoft Educator Center
Dive deep into learning with interactive lessons, earn professional development hours, acquire certifications and find programs that help meet your goals.
Microsoft Learn
Microsoft has a variety of free learning modules ranging from beginner to advanced. Each training module is free and provides a learning path and potential micro-credential. Optional exam certifications are available for a fee but training modules are free.
Microsoft On the Issues
Read the latest news and articles on technology, AI, cybersecurity, digital transformation and more. Blog curated by Microsoft.
Microsoft Research
Learn more and find resources on this portal entirely dedicated to research and powered by Microsoft. You will find resources, programs, events and opportunities to exchange with a community of people in the research.
Minecraft block coding academy
The modules in Minecraft Block Coding Academy focus on how educators may use Minecraft Education to teach programming skills and concepts to learners at all levels. The modules cover three levels—lower elementary, upper elementary, and secondary. After completing the learning path, you'll receive the Block Coding badge and the Coding and Beyond badge
Model data with Power BI
Learn what a Power BI data model is, which data loading approach to use, and how to build out your data model to get the insights you need.
Monitor data drift with Azure Machine Learning
Changing trends in data over time can reduce the accuracy of the predictions made by a model. Monitoring for this data drift is an important way to ensure your model continues to predict accurately.
Monitor models with Azure Machine Learning
After a machine learning model has been deployed into production, it's important to understand how it is being used by capturing and viewing telemetry.
Moving Data into Hadoop
This course describes techniques for moving data into Hadoop. There are a variety of ways to get data into Hadoop from simple Hadoop shell commands to more sophisticated processes. Several techniques are presented but three, Sqoop, Flume, and Data Click are covered in greater detail.
NVIDIA Deep Learning Institute (DLI) Teaching Kit Program
NVIDIA Deep Learning Institute (DLI) Teaching Kit Program is a free resource that provides access to downloadable teaching materials and online courses to help university educators incorporate GPUs into their curriculum. Co-developed with leading university faculty, Teaching Kits provide full curriculum design coupled with ease-of-use. Educators can bridge academic theory with real-world application to empower next-generation innovators with critical computing skill sets.
Optimize a model for performance in Power BI
Performance optimization, also known as performance tuning, involves making changes to the current state of the data model so that it runs more efficiently. Essentially, when your data model is optimized, it performs better.
Oracle Academy Membership
Faculty can now request a faculty membership (FREE OF CHARGE) which gives them access to the following software/resources that can be used in the classroom:
- NetSuite
- Oracle Academy Cloud Program
- Oracle APEX
- Various learning paths where students can earn badges
Click here for a quick guide to registration
Orchestating the Cloud with Kubernetes
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to provision a complete Kubernetes cluster using Google Container Engine; deploy and manage Docker containers using kubectl; and break an application into microservices using Kubernetes’ Deployments and Services.
Orchestrate machine learning with pipelines
Orchestrating machine learning training with pipelines is a key element of DevOps for machine learning. In this module, you'll learn how to create, publish, and run pipelines to train models in Azure Machine Learning.
Perform analytics in Power BI
You'll learn how to use Power BI to perform data analytical functions, how to identify outliers in your data, how to group data together, and how to bin data for analysis. You'll also learn how to perform time series analysis. Finally, you'll work with advanced analytic features of Power BI, such as Quick Insights, AI Insights, and the Analyze feature.
Perform Foundational Data, ML, and AI Tasks in Google Cloud
Earn a skill badge by completing the Perform Foundational Data, ML, and AI Tasks quest, where you learn the basic features for the following machine learning and AI technologies: BigQuery, Cloud Speech AI, Cloud Natural Language API, AI Platform, Dataflow, Cloud Dataprep by Trifacta, Dataproc, and Video Intelligence API.
Predictive Modeling Fundamentals 1
In this course you will learn the basics to get started with Predictive Modeling.
Python for beginners
Get started with Python! Learn how to create programs and projects in Python. Work with strings, lists, loops, dictionaries, and functions.
Python for Data Science
This introduction to Python will kickstart your learning of Python for data science, as well as programming in general. This beginner-friendly Python course will take you from zero to programming in Python in a matter of hours.
R Essentials
This badge earner has acquired core skills for using the R programming language with practical use-cases. This includes Understanding R syntax, assigning variables and performing simple operations using R's vector data structures. Demonstrated understanding of other key areas includes arrays and data frames, conditional statements, debugging, and reading and writing data in R.
R for Data Science
Are you ready to dive head-first into R? In just a few hours you'll learn how to write your own R code, learn about data structures and create your own functions. You’ll even be able to import data and do some operations. Try our hands-on exercises as we guide your first steps into your data science journey with R.
Request support for media production
The Digital Media Suite is available to support faculty and students in creating and completing media projects. If you’re interested in scheduling an instructional session in the DMS or your classroom.
Scala 101
Scala is a very unique programming language. It is compatible with Java yet a bit different, as it supports two programming paradigms: object-oriented programming (OOP) and functional programming (FP). Scala is also being used in Big data space along with Apache Spark, which has further fueled its adoption by many Java developers interested in Big Data Space.
Scala Programming for Data Science - Level 1
This badge earner understands the main concepts of Scala programming including object oriented programming, case object and classes, collections, for expressions, pattern matching and more.
Scala Programming for Data Science - Level 2
This badge earner has an understanding of the main concepts of Scala programming, Spark, and Data Science with the Scala language.
Set Up and Configure a Cloud Environment in Google Cloud - AWS
This is a self-paced lab that takes place in the Google Cloud console. This challenge lab tests your skills and knowledge from the labs in the Build Google Cloud Infrastructure for AWS Professionals quest. You should be familiar with the content of the labs before attempting this lab.
Spark - Level 1
This badge earner has a basic understanding of Spark. The earner can describe Spark, articulate its benefits, and describe how it is used. The individual can also use Resilient Distributed Datasets (RDD) and DataFrames to perform in-memory computing and create applications on top of the Spark built-in libraries.
Spark Fundamentals 2
Building on your foundational knowledge of Spark, take this opportunity to move your skills to the next level. With a focus on Spark Resilient Distributed Data Set operations this course exposes you to concepts that are critical to your success in this field.
Spark Fundamentals I
Spark, the technology that is revolutionizing the analytics and big data world! Spark is an open source processing engine built around speed, ease of use, and analytics. If you have large amounts of data that requires low latency processing that a typical MapReduce program cannot provide, Spark is the way to go.
Spark MLlib
Spark provides a machine learning library known as MLlib. MLlib provides various machine learning algorithms such as classification, regression, clustering, and collaborative filtering. It also provides tools such as featurization, pipelines, persistence, and utilities for handing linear algebra operations, statistics and data handling.
Spark Overview for Scala Analytics
The “Spark Overview for Scala Analytics” course will cover the history of Spark and how it came to be, how to build applications with Spark, establish an understanding of RDDs and DataFrames, and other advanced Spark topics. Apache Spark™ is a fast and general engine for large-scale data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
SQL and Relational Databases 101
Data is one of the most critical assets of any business. Data needs a database to store and process data quickly. SQL is a language used for a database to query data. In this introductory course, you'll learn the basics of the SQL language and the relational databases. You'll start by learning about the relational model and relational model concepts and constraints. By the end of this course, you will have learned and used the five basic SQL statements, some advanced SQL syntax, and join statements.
Statistics 101
Split into five modules, this is a beginner's course covering the fundamentals of statistics. Start with mean, mode, and median. Then learn about standard deviation using examples from basketball. Learn about probability with dice. Learn what it means to group data by categorical variables, and how you can transform your data into appropriate graphs and charts.
Summer Badging Program
Earn digital credentials, win big! Submit proof of completion from June 1 to September 30, 2023, and stand a chance to win an Amazon Kindle Fire. Enhance skills, earn credentials, and seize this exciting opportunity.
Take your first steps with Rust
Interested in learning a new programming language that's growing in use and popularity? Start here! Lay the foundation of knowledge you need to build fast and effective programs in Rust.
Teaching Onboarding at UofL with Delphi Center
The Delphi Center’s Teaching Onboarding experience serves as a “base camp” for all who are newer to teaching at UofL. You will find a series of core teaching and learning resources, tools and strategies that are easily accessible online.
Text Analytics 101
From social media to news articles to machine logs, text data is everywhere. This class will teach you about Information Extraction: how to extract structured data from text in order to derive valuable insights.
Train a machine learning model with Azure Machine Learning
Learn how to use Azure Machine Learning to train a model and register it in a workspace.
Train and evaluate classification models
Classification is a kind of machine learning used to categorize items into classes.
Train and evaluate clustering models
Clustering is a kind of machine learning that is used to group similar items into clusters.
Train and evaluate deep learning models
Deep learning is an advanced form of machine learning that emulates the way the human brain learns through networks of connected neurons.
Train and evaluate regression models
Regression is a commonly used kind of machine learning for predicting numeric values.
Transform your business with Microsoft AI
In this learning path, business leaders will find the knowledge and resources to adopt AI in their organizations. It explores planning, strategizing, and scaling AI projects in a responsible way.
Transition to Microsoft 365
This learning path explores how educators transitioning to Microsoft 365 from other platforms gain access to a powerful library of creativity tools and apps. Learn how to increase productivity, promote collaboration, and enhance learning with Windows, Microsoft 365, Microsoft Edge, and more.
Tune hyperparameters with Azure Machine Learning
Choosing optimal hyperparameter values for model training can be difficult, and usually involved a great deal of trial and error. With Azure Machine Learning, you can leverage cloud-scale experiments to tune hyperparameters.
Understand data concepts
Data is key to most business operations and services and an understanding of data is essential in many roles. This learning path covers data concepts, data analytics, and data roles, services, and products
UofL Courses
University courses offer a terrific for-credit option. These classes feature embedded digital badges from our partners incorporated into the design of the course.
Use Python basics to solve mysteries and find answers
You are a novice but dedicated sleuth, and you enjoy solving mysteries. Harness the power of Python and Visual Studio Code to find solutions programmatically and resolve intrigue.
Use Visual Studio for modern development
Want to learn more about using Visual Studio to develop and test apps, but don't know where to start? Start here!
Work with AI visuals in Power BI
This module describes the AI capabilities of Power BI.
Work with Compute in Azure Machine Learning
One of the key benefits of the cloud is the ability to use scalable, on-demand compute resources for cost-effective processing of large data. In this module, you'll learn how to use cloud compute in Azure Machine Learning to run training experiments at scale.
Work with Data in Azure Machine Learning
Data is the foundation of machine learning. In this module, you will learn how to work with datastores and datasets in Azure Machine Learning, enabling you to build scalable, cloud-based model training solutions.
Work with Power Automate for Desktop
Work with Power Automate for desktop options, flows, recording features, conditions, loops, variables, images, and error and exception handling.
Work with Power BI visuals
Learn how to choose from the exceptional visuals that Power BI makes available to you. Formatting visuals will direct the user’s attention to exactly where you want it, while helping to make the visual easier to read and interpret. You'll also learn about how to use key performance indicators (KPIs).
Work with variable data in C# console applications (Get started with C#, Part 4)
Dive deeper into data and types, learning how to manipulate string and numeric data and perform operations on arrays. In this learning path, you'll: Choose the correct data type for the data you need to work with Cast and convert data from one type to another Modify string data, formatting it for display or changing the content of the string Manipulate arrays, adding, removing, and sorting data
Write your first C# code
Get started by writing code examples to learn the basics of the C# syntax!
Write your first code using C# (Get started with C#, Part 1)
Learn the basic syntax and thought processes required to build simple applications using C#.