The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Amazon Web Services
Generative AI Applications with Amazon Bedrock
e.g. This is primarily aimed at first- and second-year undergraduates interested in engineering or science, along with high school students and professionals with an interest in programming.Step up your generative AI skills with this course focused on building generative AI applications using Amazon Bedrock. Building on the fundamentals, you'll dive deep into advanced features and services that enable more complex solutions. The course begins with a deep dive of Amazon Bedrock Knowledge Bases, teaching you how to enhance AI responses using Retrieval-Augmented Generation (RAG). You'll learn to create and manage knowledge bases, integrating them into your applications to provide context-aware, domain-specific AI interactions. Next, you'll learn Amazon Bedrock Prompt Management and Flows, enabling you to design intricate workflows that chain multiple AI operations. This section empowers you to create more sophisticated generative AI behaviors in your applications.The latter part of the course focuses on generative AI-driven agents for task automation. You'll learn to configure and deploy Bedrock Agents, integrating them with various AWS services to create smart, autonomous systems. You'll also explore the Converse API, enabling more natural, context-aware conversations in your AI applications. Throughout the course, hands-on labs and real-world scenarios will help you apply these concepts. By the course's end, you'll be designing and implementing advanced generative AI applications with Amazon Bedrock. Please note: The hands-on exercises are optional and require access to your own AWS account. Completing these activities may result in minimal usage charges.
LearnQuest
Artificial Intelligence Algorithms Models and Limitations
We live in an age increasingly dominated by algorithms. As machine learning models begin making important decisions based on massive datasets, we need to be aware of their limitations in the real world. Whether it's making loan decisions or re-routing traffic, machine learning models need to accurately reflect our shared values. In this course, we will explore the rise of algorithms, from the most basic to the fully-autonomous, and discuss how to make them more ethically sound.
Amazon Web Services
Building a Machine Learning Ready Organization
The Building a Machine Learning Ready Organization course provides components needed for a successful organizational adoption of machine learning (ML). This course focuses on business leaders and other decision-makers currently or potentially involved in ML projects.
Coursera
Google Analytics for Beginners: Marketing Essentials
This beginner-friendly guided project focuses on using Google Analytics 4 (GA4) to track and report on key e-commerce metrics. Learners will gain hands-on experience setting up GA4 for an e-commerce website, tracking important user actions like product views, add-to-cart events, and purchases, and creating custom reports that provide valuable insights into their online store's performance. Learners will also learn how to read and analyze conversion funnels, to understand where users drop out of the funnel, and how to compare different traffic sources, and performance across different devices. By the end of the course, learners will be equipped with the knowledge and skills needed to effectively monitor and enhance their e-commerce success with GA4. This course is aimed at learners who are looking to use GA4 to analyze user behaviour on an ecommerce store. Access to a GA4 property and basic knowledge of ecommerce metrics are required.
University of Pennsylvania
Positive Psychology: Martin E. P. Seligman’s Visionary Science
Dr. Martin E.P. Seligman—renowned worldwide as the “father of Positive Psychology”—has led visionary leaps in the scientific research, empirical data and personal understandings of human flourishing. This course explores the past, present and future of positive psychology as a journey through the key scientific leaps led by Dr. Seligman and his colleagues at the University of Pennsylvania's Positive Psychology Center and Master of Applied Positive Psychology program. There are no prerequisites.
Google Cloud
Transacting Digital Assets with Multi-Party Computation and Confidential Space
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you build the foundation for a Multi-Party Computation workload that signs an Ethereum transaction in Confidential Space based on co-signer key materials.
Google Cloud
Introduction to Responsible AI - Deutsch
In diesem Einführungskurs im Microlearning-Format wird erklärt, was verantwortungsbewusste Anwendung von KI bedeutet, warum sie wichtig ist und wie Google dies in seinen Produkten berücksichtigt. Darüber hinaus werden die 7 KI-Grundsätze von Google behandelt.
The State University of New York
Strategic Career Self-Management
According to the U.S. Bureau of Labor Statistics, in the current economy, Americans shift jobs every 4-5 years, which translates into 8-10 job transitions, including several career changes, over one’s life time. With competition for jobs on the rise, a person’s continuing employability and career success are increasingly defined by his or her mastery of individual career development and the ability to effectively "manage oneself" (P. Drucker). In this course, you will learn how to think strategically and professionally about your career self-management. Through this course you'll develop an objective, external view of your marketable skills as a solid foundation for building a strong career brand. In particular, you'll be able to: - explain why developing a protean and boundaryless career perspective based on transferable (portable) skills is advantageous for continuing employability and career growth; - design your portable skills portfolio, identify and examine critically important competencies underpinning your transferable skills, and analyze your career self-management competency gaps; - increase self-awareness, pinpoint your career goals, and envision your future work self; - recognize the central role of self-management for developing transferable, marketable, skills and create a customized self-management information system (Career Development Lab) for ongoing personal development and professional growth; - conduct a thorough, competency-based job analysis in your area of interest and examine practices of evidence-based, data-driven competitive employee selection; -implement your newly developed skills for crafting effective selection criteria statements and refining your job applications.
University of Michigan
Environmental Economics
Environmental economics is a powerful and comprehensive approach to understanding, assessing, and addressing the world’s most pressing environmental and sustainability challenges. This course, “Environmental Economics,” provides training in the principles, conceptual frameworks, and applications of environmental economics. The course will help you develop and analyze climate policy and energy policy, and assess sustainability policy and practice. You will begin by exploring the key concepts of the sustainability economy, including market failures and externalities, like CO2 emissions into the atmosphere. Learn how to use tools like benefit-cost analysis, time discounting, and environmental policy instruments to make strategic decisions in your role. Additional topics covered include the economic valuation of nonmarket environmental goods and services, specific policy instruments like CO2 cap-and-trade programs, time discounting for intertemporal decision-making, benefit-cost analysis of environmental regulations, the global energy transition to renewables, and global climate policy. By understanding both sustainable and unsustainable economic practices and activities, you’ll learn to make policy and financial decisions that have positive impacts on our planet and your organization. This is the first course in “Green Skills for a Sustainable and Just Future," a course series dedicated to shaping the next generation of sustainable practices and leadership.
Google Cloud
Enterprise Search on Generative AI App Builder
Enterprises of all sizes have trouble making their information readily accessible to employees and customers alike. Internal documentation is frequently scattered across wikis, file shares, and databases. Similarly, consumer-facing sites often offer a vast selection of products, services, and information, but customers are frustrated by ineffective site search and navigation capabilities. This course teaches you to use Generative AI App Builder to integrate enterprise-grade generative AI search.
Coursera
Audit Expenses: Comply, Explain, and Apply
Did you know that businesses lose an average of 5% of their revenue to expense fraud annually? This Short Course was created to help accounting professionals accomplish accurate, compliant expense processing that protects company finances while ensuring timely employee reimbursements. By completing this course, you'll be able to confidently interpret documentation requirements, systematically review expense submissions, and make informed decisions about policy compliance that you can apply immediately in your accounting role. By the end of this course, you will be able to: Explain the documentation requirements for submitting travel expenses Apply company expense policies to review and process expense reports This course is unique because it bridges the gap between policy knowledge and practical application, providing hands-on experience with real expense scenarios that mirror daily accounting challenges. To be successful in this course, you should have a background in basic accounting principles and familiarity with business expense concepts.
Johns Hopkins University
Advanced Business Analytics: Excel Optimization & Simulation
This course equips learners with advanced skills in building and analyzing models using Excel to solve real-world business problems. Participants will learn to optimize decision-making processes using Solver, conduct sensitivity analysis to refine model outcomes, and apply advanced integer programming techniques to tackle complex scenarios. The course also covers sophisticated methods for solving assignment and transportation problems and introduces simulation techniques to analyze uncertainty and variability in decision-making. By the end of this course, learners will have the tools to enhance efficiency, improve resource allocation, and drive strategic decisions using Excel’s powerful modeling and analytical capabilities. What sets this course apart is its focus on actionable insights and practical, hands-on applications of advanced techniques, ensuring students are prepared to address challenges across a range of industries. Whether optimizing operations, solving logistical challenges, or preparing for uncertainty, this course provides essential skills for making confident, data-driven decisions. Prerequisite knowledge of basic Excel functions and foundational analytics is recommended.
Instituto Tecnológico de Aeronáutica
Princípios de Desenvolvimento Ágil de Software
Neste curso, assumimos que você já sabe projetar e desenvolver programas mais complexos em Java, graças às boas práticas e princípios orientados a objetos, TDD e conceitos avançados de Java aplicados à Web e banco de dados exercitados nos cursos anteriores; mas você talvez não se sinta ainda confortável em planejar e gerenciar o desenvolvimento das aplicações com base em modernas práticas de modelagem ágil. O objetivo deste curso é expor você às principais técnicas e princípios de desenvolvimento ágil, em especial aos que se popularizaram pela sua utilização no framework Scrum e na metodologia XP (Extreme Programming). Apresentamos o Scrum&XP, uma combinação apropriada do framework Scrum com a metodologia XP – Extreme Programming, sem no entanto afirmar que você estará aprendendo tudo sobre Scrum ou sobre XP. Os conceitos apresentados neste curso incluem o seguinte: * Manifesto ágil e princípios de desenvolvimento ágil * Requisitos de software na forma de user stories e backlog de produto * Eventos e reuniões do Scrum&XP: Sprint, Sprint Planning, Planning Poker, Daily Scrum, Sprint Review e Sprint Retrospective, TDD e Programação em Pares * Papéis do Scrum: Product Owner, Time de Desenvolvedores e Scrum Master * Tarefas, Sprint Backlog, Quadro de Tarefas e Diagrama Burndown Ao final deste curso, você terá amadurecido de tal modo suas habilidades de programação que será capaz de implementar de modo ágil um sistema que incorpora um componente de gamificação constante do Trabalho de Conclusão do Programa de Cursos Integrados, com base nas boas práticas ágeis exercitadas neste curso com o Scrum&XP apresentado. Obs.: Embora o Programa de Cursos Integrados (descrito abaixo) seja sobre a linguagem Java no contexto de desenvolvimento ágil, neste curso em especial você poderá empregar a linguagem que desejar, embora incentivemos que os alunos dos cursos anteriores do programa faça uso do Java, pois será uma oportunidade muito enriquecedora de praticar TDD com Java da maneira que se faz na indústria de software. -- --- ---- coursera.org: ITA Programa de Cursos Integrados: Programação Java e Modelagem Ágil Curso 1: Orientação a Objetos com Java Curso 2: TDD – Desenvolvimento de Software Guiado por Testes Curso 3: Desenvolvimento Ágil com Java Avançado Curso 4: Princípios de Desenvolvimento Ágil de Software Curso 5: Desenvolvimento Ágil com Padrões de Projeto Curso 6: Técnicas Avançadas para Projeto de Software Curso 7: Arquitetura de Software em Projetos Ágeis Projeto Final: Aplicativo para Web com Componente Gamificado
Coursera
Instagram Storytelling: Write Compelling Stories
Learn how to craft compelling Instagram captions that spark engagement and build community through effective storytelling. This course covers the structure of strong captions, including hooks, storytelling techniques, and clear calls-to-action tailored to different content types. You'll explore how captions support visual content and how to refine your writing using AI tools. With expert guidance, hands-on practice, and a caption creation activity, you'll gain the skills to write with clarity, purpose, and impact.
University of Colorado System
DDoS Attacks and Defenses
In this MOOC, you will learn the history of DDoS attacks and analyze new Mirai IoT Malware and perform source code analysis. you will be provided with a brief overview of DDoS Defense techniques. You learn an Autonomous Anti-DDoS Network called A2D2 for small/medium size organizations to deal with DDoS attacks. A2D2 uses Linux Firewall Rate limiting and Class Based Queueing, and subnet flood detection to handle various DDoS traffic types. You learn the new Intrusion tolerance paradigm with proxy-based multipath routing for DDoS defense. By developing and deploying such a new security mechanism, you can improve performance and reliability of the system at the same time and it does not have to be just an overhead. By the end of this course, you should be able to analyze new DDoS malware, collect forensic evidences, deploy firewall features to reduce the impact of DDoS on your system and develop strategies for dealing with future DDoS attacks. For the pre-requisites, we recommend the learners take the Design and Analyze Secure Networked Systems course to learn the basic security concepts and principles and take the Secure Networked System with Firewall and IDS courses to learn the basic firewall and IDS systems.
Packt
Artificial Intelligence in Unreal Engine 5
This course introduces the powerful integration of artificial intelligence with Unreal Engine 5, empowering game developers to create dynamic and intelligent AI systems. By focusing on Blueprints and C++, you will gain hands-on experience in designing immersive AI behaviors for next-gen games. This is a crucial skill for modern game development, where AI-driven gameplay is a core component. Throughout the course, you will master the essential tools and techniques for building responsive AI systems in Unreal Engine 5. You will learn to utilize the AI framework, behavior trees, and navigation systems to develop rich, interactive game experiences. Whether you're a beginner or looking to refine your skills, this course provides practical insights into AI development within UE5. What sets this course apart is its real-world approach. It combines foundational AI theory with practical application, helping you build fully functional AI behaviors from the ground up. This hands-on method ensures you can implement what you've learned immediately in your projects. Game developers and Unreal Engine users with basic C++ knowledge will benefit most from this course. If you're looking to elevate your game development skills and bring dynamic AI elements to your projects, this course is for you.