514 external courses

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204 of 514 courses

External · Amazon (AWS)

AWS - Solutions for Agriculture

AWS: For agricultural companies, generating actionable insights from complex agronomic and production data can be a challenge. By using Data Analytics solutions on AWS, these companies can access tools to build powerful data systems, take advantage of artificial intelligence and machine learning, and generate powerful analytics. These capabilities help agricultural companies transform production data into a strategic asset for customers, like agri

Machine LearningAdvancedSelf-pacedFree

External · Accenture

Accenture - Digital Skills: Artificial Intelligence

This course will help you to discover what artificial intelligence and generative AI are and their growing potential to transform and reshape both our professional and personal lives. You will learn about the emergence of generative AI, the role and impact it has within the workplace and what skills are needed to work with AI.

Generative AI & LLMsBeginner1-8 hoursFree

External · Accenture

Accenture - Mastering Prompting

Whether you are generating creative content, solving problems or building new ideas, mastering the art of prompting can significantly enhance the quality and relevance of AI outputs

Generative AI & LLMsBeginnerUnder 1 hourFree

External · Alan Turing

Alan Turing - Data Visualisation and Visual Analytics

Alan Turing: This course in data exploration and visualization covers cleaning and structuring datasets, and choosing suitable methods for visualizing them. It also provides theoretical knowledge of the underpinning descriptive statistics and the basics of human perception for cognition. Learners will acquire skills in data exploration and visualization. By the end of the course they will be able to take raw data sets, clean

Data Science & AnalyticsBeginner1-8 hoursFree

External · Alan Turing

Alan Turing - How data lies

Alan Turing: This course is alternatively titled "How learning to lie with data is essential to prevent AI from being sexist and racist." This is intended to catch attention but also highlights the content of this course which intends to support data scientists looking to do responsible AI. The first part of the title comes from a book from 1954 titled "How to lie with statistics" which has been brought back into consciousness through another book "Re

Data Science & AnalyticsIntermediate2-7 daysFree

External · Alan Turing

Alan Turing - Operationalising Ethics in AI - Expert

Alan Turing: This expert-level course deepens and further advances the skills in the intermediate-level course. It is taught using a multidisciplinary approach and focuses on providing learners with the knowledge necessary to apply ethical AI principles in practical settings. It uses real-world case studies, self-reflection worksheets, hands-on coding exercises and thought experiments to give the learner the tools to continue

AI Ethics & GovernanceIntermediate1-8 hoursFree

External · Alan Turing Institute

Alan Turing Institute - Assessing and Mitigating Bias and Discrimination in AI

Alan Turing Institute: This course introduces and provides a guide to evaluating and addressing issues of bias and fairness in artificial intelligence (AI) systems.

AI Ethics & GovernanceBeginner1-8 hoursFree

External · Alan Turing Institute

Alan Turing Institute - Assessing and mitigating bias and discrimination in AI: Beyond binary classification

Alan Turing Institute: A guide to evaluating and mitigating bias in AI systems, going beyond binary classification tasks. Artificial Intelligence is widely used in sensitive domains such as healthcare, insurance, recruitment and credit scoring. In these cases, it is imperative that algorithms work fairly for all target users, without discriminating certain groups over o

AI Ethics & GovernanceIntermediate2-7 daysFree

External · Alan Turing Institute

Alan Turing Institute - Introduction to Transparent Machine Learning

Alan Turing Institute: Introducing the essentials on transparent machine learning for learners of diverse backgrounds to understand and apply transparent machine learning in real-world applications with confidence and trust. This course aims to address the priority of transparency in responsible AI. We will study both transparent machine learning systems/models and transparent machine learning processes. We wi

Machine LearningIntermediateSelf-pacedFree

External · Alan Turing Institute

Alan Turing Institute - It’s not just business – AI risks, rewards and responsibilities

Alan Turing Institute: Helping business professionals map and identify how to reap rewards and how to mitigate risks when adopting AI systems. This short course introduces the CAIR3 framework for thinking about how to responsibly design, develop, and deploy AI in business, and features an example use case involving generative AI. Learn to anticipate social and environmental consequences, pre

Generative AI & LLMsBeginner1-8 hoursFree

External · Alan Turing Institute

Alan Turing Institute - Mathematics of Machine Learning - Summer School

Alan Turing Institute: This course aims to provide a rigorous theoretical account of the main ideas in machine learning, with an emphasis on supervised learning. It will teach the main mathematical techniques used in the theory of machine learning, and cover numerical examples and exercises on first-order methods applied to statistical learning problems. These resources were delivered as part of the Mathem

Machine LearningAdvanced2-7 daysFree

External · Amazon (AWS)

Amazon - AWS AgriTech School

Amazon: Learn how cloud technology can help producers and growers stay resilient and compete in today’s fast-paced digital world.

Cloud & DevOpsIntermediateSelf-pacedFree

External · Amazon (AWS)

Amazon - AWS Lambda Getting Started

Amazon: AWS Lambda is a serverless compute service that runs your code in response to events and automatically manages the underlying compute resources for you, making it easier to build applications that respond quickly to new information. No matter whether you are new to AWS Lambda or you already have a use case in mind, choose your own path and follow the curated learning steps to get started on AWS Lambda.

Cloud & DevOpsIntermediateSelf-pacedFree

External · Amazon (AWS)

Amazon - AWS Partner: AWS Cloud Practitioner Essentials

Amazon: This course helps you understand the fundamental concepts of the AWS Cloud so you can build your skills and confidence while contributing to your organization’s cloud initiatives. Access the digital training for on-demand learning, or access the classroom training option to be led by an expert AWS instructor.

Cloud & DevOpsBeginner1-8 hoursFree

External · Amazon

Amazon - AWS SimuLearn: Cloud Practitioner Learning Plan

The AWS SimuLearn: Cloud Practitioner Learning Plan delivers career-focused training in AWS cloud concepts and services through immersive simulations and 12 hands-on lab exercises that build practical skills. You will gain fundamental knowledge of AWS Cloud computing principles, common use cases, security best practices, billing and pricing models, and business impacts of cloud adoption—essential for career development in

Cloud & DevOpsBeginner1-8 hoursFree

External · Amazon (AWS)

Amazon - AWS SimuLearn: Data Analytics Learning Plan

Amazon: The AWS SimuLearn Data Analytics learning plan guides you through 23 hands-on solution building assignments enabling you to design and implement scalable, secure analytics solutions on AWS from data ingestion to visualization. Each AWS SimuLearn assignment features scenarios powered by generative AI, where learners engage with virtual customers through dynamic conversations. This allows learners to gather requirements,

Generative AI & LLMsAdvanced1-8 hoursFree

External · Amazon (AWS)

Amazon - AWS Solutions Architect Learning Plan

Amazon: This Learning Path helps you build knowledge on how to design applications and large distributed systems on AWS. This Learning Path presents domain-specific content and includes courses, knowledge checks, and a knowledge badge assessment. This path is a guide and presents learning in a structured order, it can be used as presented or you can select the content that is most beneficial.

Cloud & DevOpsIntermediate2-7 daysFree

External · Amazon (AWS)

Amazon - AWS Supply Chain Workshop

Amazon: The target audience for this workshop is IT professionals or supply chain technologists who wish to learn about the deployment of AWS Supply Chain and get an introduction to its functionality. A background in supply chain is helpful but not required for completing this workshop. This workshop takes approximately 6 hours to complete.

Cloud & DevOpsIntermediate1-8 hoursFree

External · Amazon

Amazon - AWS Technical Essentials

Amazon: AWS Technical Essentials, Part 1 and Part 2, introduces you to essential Amazon Web Services and common solutions. The course covers the fundamental AWS concepts related to compute, database, storage, networking, monitoring, and security. You will start working in AWS through hands-on course experiences. The course covers the concepts necessary to increase your understanding of AWS services, so that you can make informed decisions about

Cloud & DevOpsIntermediate1-8 hoursFree

External · Amazon (AWS)

Amazon - AWS for Media & Entertainment – Content Production Foundations

Amazon (AWS): A Learning Plan pulls together training content for a particular role or solution, and organizes those assets from foundational to advanced. Use Learning Plans as a starting point to discover training that matters to you. This learning plan not only provides a baseline understanding of the roles, concepts, services, and considerations specific to Media Content Production workflows, but also si

Cloud & DevOpsBeginner1-8 hoursFree

External · Amazon (AWS)

Amazon - Amazon Bedrock Getting Started

Amazon: Amazon Bedrock is a fully managed service that offers leading foundation models (FMs) and a set of tools to quickly build and scale applications. Powered by generative artificial intelligence (AI), the service maintains privacy and security. In this Getting Started course, you will learn about the benefits, features, typical use cases, technical concepts, and cost of Amazon Bedrock. You will also review an architecture that uses A

Generative AI & LLMsIntermediate1-8 hoursFree

External · Amazon (AWS)

Amazon - Amazon Q Introduction

Amazon: This course gives a high-level overview of Amazon Q, a generative artificial intelligence (AI) powered assistant. You’ll learn about the use cases and the benefits of linking Amazon Q to your company information, code, and systems. You’ll also find additional information to advance your learning journey based on your interest in a particular use case. Both technical and non-technical learners will learn how Amazon Q can increase their produ

AI FundamentalsIntermediate1-8 hoursFree

External · Amazon

Amazon - Amazon Scholars Michael Kearns and Aaron Roth discuss the ethics of machine learning

Amazon: Two of the world’s leading experts on algorithmic bias look back at the events of the past year and reflect on what we’ve learned, what we’re still grappling with, and how far we have to go.

Machine LearningIntermediate1-8 hoursFree

External · Amazon (AWS)

Amazon - Building Batch Data Analytics Solutions on AWS

Amazon: Select any or all of our four one-day courses to learn best practices from an expert AWS instructor. Choose only the courses you need to match the services and solutions that are relevant to you. We recommend starting with Building Data Lakes on AWS, and from there, take any or all courses as needed.

Data Science & AnalyticsIntermediate1-8 hoursFree

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