The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Packt
Designing Agentive Technology: AI for Human Support
This course provides a structured approach to designing agentive technology—systems that act independently to assist users. With a focus on real-world applications, it emphasizes the design of autonomous systems that can learn and adapt to user needs, creating more intuitive AI-driven interactions. You will gain practical knowledge on defining agentive technology, identifying interaction patterns, and refining systems to improve user agency. By the end of the course, you’ll be able to create smarter, more responsive tools that support users in a variety of contexts. What sets this course apart is its combination of theory and hands-on practice. You’ll be exposed to conceptual frameworks for agentive technology, with a focus on real-world use cases and the ethical implications of autonomous systems. Ideal for product strategists, UX designers, and anyone interested in autonomous systems, this course assumes a basic background in digital product design. No coding experience is required, but understanding digital product thinking will help you maximize the course’s value. Copyright @2017 Christopher Noessel. All rights reserved. Originally published by Rosenfeld Media, LLC., This course edition is published by Packt Publishing under license from Rosenfeld Media LLC. No part of this material may be reproduced, distributed, or transmitted in any form or by any means-electronic, mechanical, photocopying, recording, or otherwise-without prior written permission from the author or the publisher.
Skillshare
Watch Me Design a Pattern Collection: Creative Struggles
This is not an ordinary surface pattern design class. I, Di Ujdi, turned my workspace into a filming studio so I could document the entire process of designing a full pattern collection from start to finish. In the age of perfection and seemingly quick results, I’m inviting you behind the scenes, where together, we can embrace our flaws and become more mindful of the creation process. In this class: - You’ll see me working on the pattern collection idea, story, and sketches - I’ll walk you through my process of planning and structuring a pattern collection. - I’ll be brave to share my internal doubts, struggles and abandoned project ideas. - I’ll show you how I’m figuring things out as I go until the collection is completed. - You’ll see the entire creation process of 8 different pattern designs from start to finish. I hope by sharing my experience, I can help you become more mindful when navigating this project on your own. To keep it factual, when the lessons start in the upper right corner, you’ll see the information about real-time it took me to complete that milestone. At the end of each lesson, I’ll provide takeaways and recommendations on what you can work on. And finally, the narration you’ll hear is based on the creative process diary I kept each day of the filming. This class is best suited for intermediate levels or beginners who already know how to create pattern repeats. Instructor bio: Di Ujdi (Nina) is an illustrator and surface pattern designer best known for her bold floral motifs and playful, stylized illustrations. Inspired by nature and color, her work celebrates the beauty of the world in a bright, joyful way. As a Skillshare Top Teacher, Nina is passionate about sharing her creative process and helping others discover their own artistic voice. Through teaching, she hopes to inspire and support learners on their creative journey while continuing to learn and grow herself.
Google Cloud
Managing SMB Workloads and Optimizing Storage Usage with NetApp Cloud Manager & Cloud Volumes ONTAP
This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to leverage NetApp Cloud Volumes ONTAP for SMB workloads.
University of California San Diego
Bioinformatics Capstone: Big Data in Biology
In this course, you will learn how to use the BaseSpace cloud platform developed by Illumina (our industry partner) to apply several standard bioinformatics software approaches to real biological data. In particular, in a series of Application Challenges will see how genome assembly can be used to track the source of a food poisoning outbreak, how RNA-Sequencing can help us analyze gene expression data on the tissue level, and compare the pros and cons of whole genome vs. whole exome sequencing for finding potentially harmful mutations in a human sample. Plus, hacker track students will have the option to build their own genome assembler and apply it to real data!
Starweaver
Introduction to Automotive Embedded Systems
This course is designed to introduce learners to the critical role of embedded systems in automotive technology. Starting with foundational concepts and frameworks, the course progresses through the design, development, and implementation of embedded systems within vehicles. Learners will explore microcontrollers, software development, sensor integration, and the application of these systems to enhance vehicle functionality, safety, and performance. Through real-world examples and case studies, participants will understand how embedded systems are transforming the automotive industry. This course caters to Automotive Engineering Students, Entry-Level Embedded System Engineers, Technology Hobbyists intrigued by Automotive Applications, and Software Developers venturing into the Automotive Field. Whether you're a student delving into automotive technology, an engineer transitioning to embedded systems, or a hobbyist with a keen interest in automotive applications, this course provides a comprehensive introduction to the field. Participants should possess a basic understanding of programming concepts and be familiar with electronic components. An interest in automotive technology is essential, but no prior experience with embedded systems is required. Whether you're a novice programmer, an electronics enthusiast, or simply fascinated by automotive advancements, this course offers an accessible entry point into the world of embedded systems in automotive engineering. Throughout this course, learners will explore the functionalities and selection criteria of microcontrollers, essential components in embedded systems. Through a hands-on approach, participants will engage with programming and simulation tools, gaining practical skills applicable to real-world automotive projects. By analyzing case studies showcasing embedded systems in vehicles, participants will gain insights into the evolution and future prospects of automotive technologies, preparing them to contribute effectively in this dynamic field.
Coursera
GenAI for Sales Managers: Data-Driven Sales Forecasting
Welcome to this course GenAI for Sales Managers: Boosting Sales with GenAI focuses on equipping sales professionals with the knowledge and tools to integrate Generative AI (GenAI) into everyday sales workflows. From forecasting to customer engagement and pipeline management, this course shows you how to use GenAI, including ChatGPT and Claude AI, to drive smarter decision-making, enhance productivity, and ultimately increase revenue. Expect hands-on projects, real-world case studies, and actionable strategies to help you integrate GenAI into your sales processes effectively. This course is tailored for Sales Managers, Team Leads, and Business Analysts who are keen to leverage Generative AI to enhance their sales strategies. If you're a Sales Manager leading account executives or a Team Lead overseeing sales development representatives (SDRs), this course will equip you with the tools to optimize your sales processes and boost team performance. Aspiring Sales Managers will also benefit from the course as they learn how to effectively integrate AI into forecasting, lead prioritization, and customer engagement strategies. Additionally, Business Analysts supporting sales teams will find valuable insights on using AI to refine sales strategies and improve performance outcomes. To fully benefit from this course, learners should have a basic understanding of sales processes and CRM tools, as these are fundamental to applying AI in sales. Familiarity with AI concepts, such as how machine learning and generative models work, will also be helpful but is not mandatory. The course is designed to be accessible to those with entry-level knowledge of AI, allowing learners to dive into its practical applications in sales management without needing an advanced technical background. By the end of this course, you'll be equipped with the knowledge and skills to seamlessly integrate Generative AI into your sales operations, enhancing forecasting accuracy, lead management, and customer engagement. You'll walk away with practical strategies that you can immediately apply to optimize your sales processes and drive better business outcomes. Whether you're looking to improve decision-making, boost productivity, or foster innovation within your team, this course will provide you with the tools and insights to transform your sales approach with the power of AI.
Yale University
American Contract Law I
American Contract Law I (along with its sister course Contracts II) provides a comprehensive overview of contract law in the United States. The course covers most of the key concepts found in a first year law school class. Each lecture is based on one or more common-law cases, integrating legal doctrines with policy discussions. The course also covers key sections from the Uniform Commercial Code (UCC), which governs the sale of goods. By the end of the course, the learner should be able to understand: Formation: how a valid and enforceable contract is created, including concepts such as offer, acceptance, consideration, and promissory estoppel.
Google Cloud
Responsible AI for Developers: Privacy & Safety - Indonesian
Kursus ini memperkenalkan topik penting tentang privasi dan keamanan AI. Kursus ini mengeksplorasi metode dan alat praktis untuk menerapkan rekomendasi praktik privasi dan keamanan AI melalui penggunaan produk dan alat open source Google Cloud.
Google Cloud
Build, Train and Deploy ML Models with Keras on Google Cloud - Português Brasileiro
Este curso ensina a criar modelos de ML com o TensorFlow e o Keras, melhorar a acurácia deles e desenvolver modelos para uso em escala.
Copenhagen Business School
Identifying Social Entrepreneurship Opportunities
This Course will clarify the definition and meaning of Social Entrepreneurship and will focus on the need to learn about the source and root of a social problem. You will be introduced to different perspectives about Social Entrepreneurship and you will learn about complementary and opportunistic assets which will help you to detect an opportunity and develop an idea of how to create a business for social change. From a practical perspective you will be asked to initiate a team formation process and start to think about a problem topic that you want to address with your social venture in the future. You will work in a team to research this topic and will gradually start to think about a particular opportunity and identify a purpose for your social venture project.
Google Cloud
Networking in Google Cloud: Hybrid and Multicloud - Español
Te damos la bienvenida al sexto curso de nuestra serie Networking in Google Cloud: Hybrid and Multicloud. En el primer módulo, explicaremos múltiples opciones de conectividad de Cloud con un análisis en profundidad de Cloud Interconnect, en el que exploraremos sus diferentes tipos y funcionalidades. En el segundo módulo, abordaremos Cloud VPN, conoceremos su implementación de topologías de VPN de alta disponibilidad y el Network Connectivity Center, o NCC, para optimizar la administración. Al final del curso, podrás explicar las diferentes opciones de conectividad disponibles para ampliar tus redes locales y en la nube a Google Cloud, y analizar la idoneidad de diferentes servicios de conectividad híbridos y en múltiples nubes de Google Cloud para casos de uso específicos. Empecemos.
Google Cloud
Cloud Security Scanner: Qwik Start
This is a self-paced lab that takes place in the Google Cloud console. The Cloud Security Scanner identifies security vulnerabilities in your Google App Engine web applications.
University of Pennsylvania
Ancient Philosophy: Plato & His Predecessors
What is philosophy? How does it differ from science, religion, and other modes of human discourse? This course traces the origins of philosophy in the Western tradition in the thinkers of Ancient Greece. We begin with the Presocratic natural philosophers who were active in Ionia in the 6th century BCE and are also credited with being the first scientists. Thales, Anaximander, and Anaximines made bold proposals about the ultimate constituents of reality, while Heraclitus insisted that there is an underlying order to the changing world. Parmenides of Elea formulated a powerful objection to all these proposals, while later Greek theorists (such as Anaxagoras and the atomist Democritus) attempted to answer that objection. In fifth-century Athens, Socrates insisted on the importance of the fundamental ethical question—“How shall I live?”—and his pupil, Plato, and Plato’s pupil, Aristotle, developed elaborate philosophical systems to explain the nature of reality, knowledge, and human happiness. After the death of Aristotle, in the Hellenistic period, Epicureans and Stoics developed and transformed that earlier tradition. We will study the major doctrines of all these thinkers. Part I will cover Plato and his predecessors. Part II will cover Aristotle and his successors.
Google Cloud
Creating Date-Partitioned Tables in BigQuery
This is a self-paced lab that takes place in the Google Cloud console. This lab focuses on how to query partitioned datasets and how to create your own dataset partitions to improve query performance, which reduces cost.
Rice University
Python Data Analysis
This course will continue the introduction to Python programming that started with Python Programming Essentials and Python Data Representations. We'll learn about reading, storing, and processing tabular data, which are common tasks. We will also teach you about CSV files and Python's support for reading and writing them. CSV files are a generic, plain text file format that allows you to exchange tabular data between different programs. These concepts and skills will help you to further extend your Python programming knowledge and allow you to process more complex data. By the end of the course, you will be comfortable working with tabular data in Python. This will extend your Python programming expertise, enabling you to write a wider range of scripts using Python. This course uses Python 3. While most Python programs continue to use Python 2, Python 3 is the future of the Python programming language. This course uses basic desktop Python development environments, allowing you to run Python programs directly on your computer.
University of Minnesota
Medical Technology and Evaluation
Innovations in medical technologies are one of the leading areas of economic growth in the world. Whether new technologies take the form of pharmaceutical, medical device, biotechnology, information technology of some combination of these innovations, the opportunities for both private enterprise and social welfare are substantial. However, these innovations are not without cost, and require reimbursement from either a privately or publicly financed health care delivery system to enter the marketplace. This course aims to provide knowledge of the concepts, data, and methodology required to critically evaluate new medical technologies in order to secure financial investment, reimbursement, and regulatory compliance objectives, such as FDA approval. The course is designed to provide understanding of the analytic tools needed to evaluate medical technologies. After completing this course, students will have the skills needed to: - Understand the reimbursement systems financing medical technology use. - Understand the role of government and regulatory agencies in the development and use of new medical technologies. - Identify a population to be served by a medical technology. - Use health care data to evaluate a medical technology. - Perform cost/benefit and cost/effectiveness analysis of a new technology.