The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Infosec
Laravel Protections
In this course, you'll take a look at how Laravel protects your database and ways you can configure it to protect your system. The Laravel database access layer has a lot of built-in protection from common attacks. However, when you need to customize functionality it can be easy to undo that layer and allow for attacks like SQL injection. In this course, we’ll discuss how Laravel protects your database and look at ways to extend functionality without compromising security. Then, we’ll pivot to performance and reducing the chance of denial of service attacks. Finally, concentrating on a layered approach of security in your app, we’ll focus on the security of properties in an Eloquent model. The course also covers three related concepts that are compared and analyzed. Securing Laravel passwords and ensuring their complexity is explained. Hashing functionality and algorithms provided by Laravel are also reviewed. Leveraging encryption by hand, as well as where it’s automatically integrated into Laravel, is also discussed. Additionally, the course will discuss two mechanisms for tracking users between requests and storing user information are discussed in this course: sessions and cookies. First, all of the different session configurations and drivers are discussed. We’ll review what is really necessary and what is just hype. Then, using the persistent session storage and flashing session data is reviewed. The course complete with a discussion of the usage and security of Laravel cookies. And finally, the course will cover how Laravel provides functionality to rate limit incoming requests. Rationale for choosing to protect end points, both globally and with segmented or conditional choices, is discussed.
DeepLearning.AI
Advanced Retrieval for AI with Chroma
Information Retrieval (IR) and Retrieval Augmented Generation (RAG) are only effective if the information retrieved from a database as a result of a query is relevant to the query and its application. Too often, queries return semantically similar results but don’t answer the question posed. They may also return irrelevant material which can distract the LLM from the correct results. This course teaches advanced retrieval techniques to improve the relevancy of retrieved results. The techniques covered include: 1. Query Expansion: Expanding user queries improves information retrieval by including related concepts and keywords. Utilizing an LLM makes this traditional technique even more effective. Another form of expansion has the LLM suggest a possible answer to the query which is then included in the query. 2. Cross-encoder reranking: Reranking retrieval results to select the results most relevant to your query improves your results. 3. Training and utilizing Embedding Adapters: Adding an adapter layer to reshape embeddings can improve retrieval by emphasizing elements relevant to your application.
Amazon Web Services
Amazon Lex Getting Started
Amazon Lex is a fully managed artificial intelligence (AI) service with advanced natural language models to design, build, test, and deploy conversational interfaces for voice and text. In this course, you will learn the benefits and technical concepts of Amazon Lex. If you are new to the service, you will learn how to start with Amazon Lex through a demonstration using the AWS Management Console. You will learn about the Amazon Lex architecture and how its built-in features can help you quickly build sophisticated, natural language conversational bots, or chatbots.
Northeastern University
Healthcare Analytics Essentials
This course is best suited for individuals currently in the healthcare sector, as a provider, payer, or administrator. Individuals pursuing a career change to the healthcare sector may also be interested in this course. In this course, you will have an opportunity to examine topics related to data-driven decision making in healthcare. You will be asked to consider both the patient and provider perspective and their contributions to improving the quality of care provided. Through the readings, the application of the analytical tools, and the concepts and principles in this course, you will have a more comprehensive understanding of the complexity of healthcare delivery organizations and how they affect patient care delivery and ultimately patient medical outcomes. This course provides you the opportunity to: ~ Describe how healthcare business analytics fits into the data science and business disciplines ~ Identify key current issues in analytics and data science ~ Describe how business analytics integrates with business strategy
Universidad de Palermo
Economía y Finanzas de Empresas
En este curso se analizarán los distintos elementos que conforman el contexto económico en el cual las empresas toman decisiones orientadas al logro de sus objetivos. Inicialmente, se presentarán las principales herramientas para comprender el funcionamiento de los mercados (área de la economía conocida como microeconomía) y, posteriormente, se expondrá el funcionamiento de la economía considerada en su conjunto (macroeconomía). Los asistentes se concentrarán en elementos conceptuales fundamentales, pero al mismo tiempo recibirán permanentemente aplicaciones y casos, lo cual refuerza el carácter empírico del curso. Objetivos del curso: • Generar herramientas que permitan analizar y comprender apropiadamente el modo en el que el contexto económico influye sobre el desempeño de una empresa. • Comprender los fundamentos del comportamiento económico de consumidores y empresas, y el modo en el que la interacción entre estos genera las fluctuaciones observadas en los mercados modernos. • Elaborar criterios que permitan identificar las variables macroeconómicas más relevantes, sus determinantes y el modo cómo estas deben ser interpretadas en el proceso de toma de decisiones. • Identificar los distintos mecanismos a través de los cuales el Estado puede influir sobre el funcionamiento de un mercado en particular o de la economía en general mediante sus instrumentos de política económica.
ESSEC Business School
Diversité et inclusion sur le lieu de travail
La diversité est une réalité indéniable dans le monde d'aujourd'hui. Les mouvements de femmes, le militantisme pour les droits civiques, Black Lives Matter, la mondialisation et bien d'autres encore ont tous contribué à attirer l'attention sur l'importance de la diversité et de l'inclusion. Les questions de diversité occupent systématiquement les deux faces d'une même pièce. D'une part, les mouvements sociaux ont historiquement mis en lumière les inégalités subies par les femmes et les groupes minoritaires. D'autre part, la diversité apporte des perspectives différentes et potentiellement nouvelles, qui peuvent être source d'innovation et de changement. Sur le plan cognitif, la relation entre la diversité et l'inclusion est paradoxale. Des études ont montré que nous devons être capables de voir et d'entendre les différences afin de profiter des avantages de la diversité. Cependant, le fait de voir et d'entendre les différences aiguise nos réflexes de discrimination et peut aboutir à la discrimination. Il s'agit d'un cours d'introduction à la diversité et à l'inclusion qui fournit des informations sur les raisons pour lesquelles il s'agit d'une question importante pour les organisations, sur les façons dont nous pouvons comprendre conceptuellement la diversité et l'inclusion, et sur certaines initiatives et meilleures pratiques pour aborder la diversité et l'inclusion sur le lieu de travail. Ce cours propose une approche cognitive et vous permettra de : - comprendre pourquoi la diversité et l'inclusion constituent un défi important pour les organisations, - comprendre les processus cognitifs qui sous-tendent nos réactions à la différence, - comprendre la relation paradoxale entre la diversité et l'inclusion, - gérer la diversité et l'inclusion afin de mieux canaliser le potentiel de diversité et encourager l'inclusion pour plus de performance et d'innovation.
EDUCBA
Python: Master House Price Prediction with Linear Regression
By the end of this course, learners will be able to prepare housing datasets, apply preprocessing and transformation techniques, engineer meaningful features, perform exploratory data analysis, and build predictive models using linear regression in Python. You will also learn to evaluate multicollinearity with Variance Inflation Factor (VIF) and validate prediction accuracy with best practices in model evaluation. This course is designed to take you step by step through the entire workflow of predictive modeling, starting with project setup and dataset understanding, followed by advanced techniques in data cleaning, correlation analysis, and regression modeling. Through hands-on practice with the Ames Housing dataset, you will gain practical skills in transforming raw data into actionable insights. What makes this course unique is its end-to-end, project-based structure that mirrors real-world machine learning workflows. Instead of abstract theory, you will learn by applying concepts directly to a practical case study—predicting house prices with real housing data. Whether you are a beginner in data science or looking to strengthen your machine learning portfolio, this course will equip you with the skills to confidently implement regression-based predictive analytics.
IBM
IBM z/OS Rexx Programming
This course is designed to teach you the basic skills required to write programs using the REXX language in z/OS. The course covers the TSO extensions to REXX and interaction with other environments such as the MVS console, running REXX in batch jobs, and compiling REXX. A total of 11 hands-on labs on an IBM Z server (via remote Skytap access) are part of this course. On successful completion of the course, learners can earn theor badge. Details here- https://www.credly.com/org/ibm/badge/ibm-z-os-rexx-programming
SAP
SAP Technology Consultant Hands-on Project
SAP Technology Consultant Hands-on Project is the sixth course in the SAP Technology Consultant Professional Certificate program. This is your opportunity to put the knowledge and skills you have gained over the previous five courses into practice. This fun and interesting project is a high-level challenge based on a real-world problem. You’ll identify key players in the proposed project and take the necessary steps to understand their current technical landscape. You’ll identify their business requirements and develop a solution proposal. Once you’ve obtained sign off from the customer, you’ll then identify the key technology elements you need to cover and assess the stakeholders and other SAP professionals you’ll be working with. You’ll work on and present your design, including your assumptions, proposed recommendations, and other considerations. Then you’ll implement your proposed solution and complete QA/testing activities. And finish off by creating a Post-Implementation Review Report documenting the lessons learnt and the future roadmap. Overall, this project presents an ideal opportunity to gain experience in assessing the digital transformation drivers in a real-life situation. By the end of this project, you will be able to: Review, understand and respond to a customer implementing a new SAP solution. Complete typical technology consultant project tasks for each SAP lifecycle phase. Develop and present selected technology consultant project deliverables. Compare course project work against provided best practice examples and identify gaps or opportunities for development.
Fundação Instituto de Administração
Relações Internacionais
Nossas boas-vindas ao Curso Relações Internacionais. Este curso tem o objetivo de apresentar os tipos de acordos e instituições que constituem o comércio internacional. O participante também compreenderá os mecanismos de classificação fiscal, as medidas protecionistas e as tradicionais etapas de internacionalização de empresas. É composto por quatro módulos, disponibilizados em semanas de aprendizagem. Cada módulo é composto por vídeos, leituras e testes de verificação de aprendizagem. Ao final de cada módulo, temos uma avaliação de verificação dos conhecimentos. Estamos muito felizes com sua presença neste curso e esperamos que você tire o máximo de proveito dos conceitos aqui apresentados. Bons estudos!
Google Cloud
Strategies for Cloud Security Risk Management
Ready for more?! This is the second course of the Google Cloud Cybersecurity Certificate. Crack the code of security and compliance! ️ This course is your decoder ring to unlock the world of security domains, frameworks, and data privacy. Discover the secret language of risk, controls, and the trio of compliance: people, process, and tech!
National Taiwan University
大數據分析：商業應用與策略管理 (Big Data Analytics: Business Applications and Strategic Decisions)
本課程是為非資料科學專業者設計的大數據領域入門課程，偏商管應用，非資訊技術教學。透過修習本課程，學員將能對資料科學商管領域的範疇與分類建立基本的觀念，並且瞭解其在商管領域的各種應用。在學的學生可藉此為職涯做準備，在職的社會人士則可拓展自己對資料科學的想像，進一步思考在自身工作場域應用資料科學的可能性。 本課程共計六週，第一週為學界與業界對談，透過直播企劃呈現大數據應用的議題，作為課程的開端，二到五週由臺灣大學教授進行授課，分別就金融、行銷、社群媒體、輿情分析、行銷智慧等議題，介紹大數據在領域的應用，課程以闡述應用為主，但不會花很多時間在演算法的技術細節。第六週則由玉山金控李正國數位金融長主講，帶入玉山金控積極應用大數據於銀行業的策略，產學合作課程確實結合學界與業界的專家，就資料科學的商管應用做不同面向的介紹。 課程設計中安排一位主持人的課前提問、單元介紹引言、延伸提問等等，引導學生學習與思考，各週授課教師與課程主題概述如下： 第一週：臺灣大學資訊管理學系魏志平教授、玉山金控李正國數位金融長 -- 課程簡介、與大數據的午餐約會直播活動 第二週：臺灣大學工商管理學系與資訊管理學系合聘楊立偉教授 -- 資料分析在金融及財務上的應用 第三週：臺灣大學工商管理學系與資訊管理學系合聘楊立偉教授 -- 資料分析在零售及行銷上的應用 第四週：臺灣大學資訊管理學系陳建錦教授 -- 社群媒體之輿情分析 第五週：臺灣大學資訊管理學系魏志平教授 -- 社群媒體分析與行銷智慧 第六週：玉山金控李正國數位金融長 -- 大數據的商業應用策略
DeepLearning.AI
AI Agentic Design Patterns with AutoGen
In AI Agentic Design Patterns with AutoGen you’ll learn how to build and customize multi-agent systems, enabling agents to take on different roles and collaborate to accomplish complex tasks using AutoGen, a framework that enables development of LLM applications using multi-agents. In this course you’ll create: 1. A two-agent chat that shows a conversation between two standup comedians, using “ConversableAgent,” a built-in agent class of AutoGen for constructing multi-agent conversations. 2. A sequence of chats between agents to provide a fun customer onboarding experience for a product, using the multi-agent collaboration design pattern. 3. A high-quality blog post by using the agent reflection framework. You’ll use the “nested chat” structure to develop a system where reviewer agents, nested within a critic agent, reflect on the blog post written by another agent. 4. A conversational chess game where two agent players can call a tool and make legal moves on the chessboard, by implementing the tool use design pattern. 5. A coding agent capable of generating the necessary code to plot stock gains for financial analysis. This agent can also integrate user-defined functions into the code. 6. Agents with coding capabilities to complete a financial analysis task. You’ll create two systems where agents collaborate and seek human feedback. The first system will generate code from scratch using an LLM, and the second will use user-provided code. You can use the AutoGen framework with any model via API call or locally within your own environment. By the end of the course, you’ll have hands-on experience with AutoGen’s core components and a solid understanding of agentic design patterns. You’ll be ready to effectively implement multi-agent systems in your workflows.
University of California, Davis
Self-Assessment
This course invites learners to explore academic research through the lens of self-discovery and personal development. Beginning with an examination of individual interests, talents, and goals, students will engage in reflective exercises and self-assessment tools such as the Myers-Briggs Type Indicator (MBTI) and CliftonStrengths. Through these assessments, learners will gain insight into their personality traits and strengths, critically evaluate how these characteristics influence academic and career choices, and explore the relevance of personal attributes in research contexts. By analyzing real-life experiences and applying structured reflection techniques, students will develop a deeper understanding of themselves and learn how to align their personal journey with meaningful academic and professional opportunities.
Arizona State University
Care: The First Step in Tech Innovation for Entrepreneurs
As you develop your innovator mindset, you will need to focus on evidence-based entrepreneurship and skills that will help you move forward in identifying and solving problems. You will learn the tenets of evidence-based entrepreneurship, identify and work on problems, and assess the value of intrapreneurship.
Fundação Instituto de Administração
Comportamento e Marketing Digital
Nossas boas-vindas ao Curso Comportamento e Marketing Digital. Neste curso, você aprenderá como uma organização pode analisar o comportamento do consumidor no ambiente digital. Ao final deste curso, você será capaz de analisar, compreender e planejar a jornada do seu cliente no ambiente digital. Este curso é composto por quatro módulos, disponibilizados em semanas de aprendizagem. Cada módulo é composto por vídeos, leituras e testes de verificação de aprendizagem. Ao final de cada módulo, temos uma avaliação de verificação dos conhecimentos. Estamos muito felizes com sua presença neste curso e esperamos que você tire o máximo de proveito dos conceitos aqui apresentados. Bons estudos!