The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Packt
Harnessing LLMs & Text-Embeddings API with Google Vertex AI
Updated in May 2025. This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Unlock the power of Google Cloud’s Vertex AI and take your machine learning projects to the next level with this practical and hands-on course. You’ll explore how to integrate and apply Large Language Models (LLMs) and the Text-Embeddings API to real-world data, enabling smarter search, classification, and summarization applications. By the end of this course, you’ll have built working knowledge of embeddings, vector similarity, and Retrieval-Augmented Generation (RAG) systems. The course begins with environment setup and a primer on API costs, then walks you through deploying and testing text embeddings with Vertex AI. You’ll perform hands-on tasks like generating sentence embeddings and integrating them into your projects using cosine similarity and visualization tools. A deep dive into the Vertex AI Text Embedding API reveals its potential through multimodal embedding concepts, semantic search, and practical use cases. In later modules, you'll transition from theory to powerful applications—building text generators with the Bison model, extracting structured information from unstructured text, and controlling output via temperature and sampling settings. You'll also develop end-to-end solutions like clustering StackOverflow data and implementing ANN search strategies using HNSW versus cosine similarity. This course is designed for data scientists, machine learning engineers, software developers, and cloud practitioners who are interested in building intelligent applications using GenAI. Ideal learners should have a foundational understanding of Python programming, basic knowledge of machine learning, and experience with REST APIs. Familiarity with Google Cloud Platform services and tools is recommended to fully benefit from this intermediate-level course.
University at Buffalo
Blockchain Platforms
This fourth course of the Blockchain specialization provides learners with an understanding of the broader blockchain ecosystem. Learners are introduced to other blockchain platforms, details of two decentralized application use cases, and challenges such as privacy and scalability. They are prepared to discuss permissioned blockchain architectures of Hyperledger and Microsoft Azure's blockchain as a service model and analyze the Augur and Grid+ decentralized application platforms. Course material includes emerging alternative decentralization models such as IPFS and Hashgraph, challenges in broader blockchain adoption, and continuous improvement solutions.
Google Cloud
Cloud Security Risks: Identify and Protect Against Threats
Two courses down, three to go – you’re well on your way! This is the third course of the Google Cloud Cybersecurity Certificate. You’ll delve into the key aspects of identity management and access control in cloud computing, including security principles like least-privilege and separation-of-duties, and the crucial elements of AAA: authentication, authorization, and auditing. AAAnd…let’s go to it! ← See what we did there?!
Alibaba Cloud Academy
Deploy and Manage Your Application on Alibaba Cloud
Course description: This course introduces how to manage and maintain applications deployed on Alibaba Cloud. The content of the course includes application deployment on Alibaba Cloud, interaction between applications and services on Alibaba Cloud, and application monitoring and tuning. It’s recommended for developers who are preparing for Alibaba Cloud developer certification. Alibaba Developer Certification is designed for individuals who hold development positions and use Alibaba Cloud products to manage and maintain Alibaba Cloud-based applications. The certification exam content covers Alibaba Cloud-related product features and solutions, including containers, application monitoring, debugging, optimization, Alibaba Cloud function computing, and Alibaba Cloud product access control. To earn an official Alibaba Cloud certificate please find the register portal on Academy's website: https://edu.alibabacloud.com/certification/aca_developer
The Chinese University of Hong Kong
La estrategia china
Este curso está diseñado para ayudarte, como estratega de una empresa extranjera, a entender mejor cómo desarrollar tu estrategia china. Después de estudiar el cambiante panorama estratégico de China, te concentrarás específicamente en el dominio de tres cuestiones estratégicas: quiénes (los actores principales en China), cómo (los modos de entrada) y dónde (la estrategia de ubicación para tu negocio en China). Este curso se propone ofrecer contenidos actualizados y experiencias reales de desarrollo de una estrategia china.
Coursera
React - Working with Higher Order Components
By the end of this course you will be able to start working with higher order components in React applications. We will start by focusing on the core higher order component concepts reinforced by code examples which start off simple to drill the concepts, and toward the end we gradually increase the complexity and variety of real world examples of higher order component logic utility. This course is aimed at developers who are familiar with Javascript in general and React specifically, understand the basics well, and would like to have some more experience, especially using some of the more advanced and dynamic development patterns in React.
S.P. Jain Institute of Management and Research
Finance for Decision-Making
Overview: This course is perfect for professionals, managers, entrepreneurs, and students who want to learn essential financial principles for business decisions. No prior finance background is needed. What You'll Learn: Interpret financial statements Understand the time value of money Evaluate investment opportunities Manage budgets and working capital Assess risk and return Learning Features: Real-world scenarios and case studies Self-paced format with video lectures and quizzes Learn at your own convenience Key Benefits: By the end, you'll be able to make informed financial decisions and understand their impact on your organization. Join now to enhance your financial decision-making skills!
Coursera
Copywriting with ChatGPT: Crafting High-Quality Blog Content
Over 80% of bloggers agree that blogging gets results – but creating high-quality blog content takes time! The average copywriter takes about 4 hours to write a blog post. For marketing copywriters, AI is a powerful tool—saving time, enhancing ideation, and improving editing. While 65% of bloggers have embraced AI to varying degrees, few use it for everything. This Guided Project was created to help marketing professionals and copywriters unlock the full potential of generative AI in blogging. You will use ChatGPT to support each stage of your creative process—from preparing for an interview to transcribing, writing, editing, and producing your final product. This project will balance the raw power of AI with the nuance of human creativity, playing to the strengths of both. In this 2-hour course, you will learn how to design effective ChatGPT prompts for blog writing, create and evaluate content generated by ChatGPT, and integrate human creativity and brand voice into ChatGPT-generated content. To achieve this, you’ll put yourself in the shoes of a senior marketing copywriter tasked by the sales team to showcase a customer testimonial via a high-quality blog post. This course is aimed at learners who want to improve their ChatGPT-supported writing skills, save time, and create high-quality blog posts that get results. Any competent writer and casual ChatGPT user should be able to complete the project successfully.
University of Colorado Boulder
Impacts of Sustainable Operations and Supply Chains
Now more than ever, companies need experts to shape the future of global supply chains and make a lasting difference in advancing sustainability and corporate responsibility. Innovative companies such as Siemens Digital Industries Software recognize these challenges and have partnered with the University of Colorado Boulder to create this course to provide a comprehensive exploration of sustainable operations and supply chain management through the lenses of Corporate Social Responsibility (CSR) and Environmental, Social, and Governance (ESG) frameworks. This third course in the Sustainable and Resilient Operations and Supply Chains Specialization emphasizes effective communication of sustainability initiatives and the use of tools like Lifecycle Assessments to evaluate environmental performance. You will also explore global reporting frameworks such as the Global Reporting Initiative (GRI), Corporate Sustainability Reporting Directive (CSRD), and United Nations Sustainable Development Goals (SDGs) to enhance accountability and address pressing global challenges such as ethical labor practices and corporate responsibility in global supply chains. This course also provides an in-depth analysis of building partnerships for sustainable operations, emphasizing sustainable procurement, supplier collaboration, and ethical sourcing. Topics include fair trade practices, human rights, and compliance with international standards, equipping learners with strategies to foster equitable labor practices and enhance supply chain resilience. This course was developed in collaboration with Siemens Digital Industries Software and is part of the "Design for the Circular Economy" collection. Learners who complete and pass the course can receive an industry-recognized digital badge. The “Design for the Circular Economy” microcredential and graduate certificate are developed around the educational goals of providing technical, business, and leadership knowledge and skills that inspire the transformation towards a more circular economy. This includes gaining technical knowledge to apply circular economy principles in product design, minimizing waste and maximizing impact; developing business acumen to implement innovative circular economic models that prioritize sustainability and resilience; and acquiring leadership strategies to communicate effectively and inspire change within an organization. This course can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.
Coursera
Analyze and Optimize Marketing Channel Performance
Did you know that companies waste up to 26% of their marketing budgets due to inaccurate tracking or misattributed conversions? Without precise data, even strong campaigns fail to show their real impact. This Short Course was created to help digital marketing professionals configure comprehensive event tracking systems for key user interactions and systematically evaluate marketing channel performance to identify the highest-converting pathways for strategic budget allocation. By completing this course, you’ll be able to demonstrate mastery through hands-on configuration of GTM event tracking systems with real-time validation, analysis of actual GA4 acquisition data to rank channels by conversion performance, and creation of strategic channel performance presentations with budget allocation recommendations that mirror professional marketing analysis deliverables. By the end of this course, you will be able to: Configure event tracking for key user interactions and verify the setup in real-time. Evaluate marketing channel performance to identify top contributors to conversions. This course is unique because it bridges the technical implementation gap with strategic analysis, teaching both the hands-on configuration skills and the analytical thinking needed to optimize marketing investments. To be successful in this project, you should have: Basic Google Analytics familiarity. Understanding of digital marketing fundamentals. HTML/CSS awareness helpful.
Duke University
Explainable Machine Learning (XAI)
As Artificial Intelligence (AI) becomes integrated into high-risk domains like healthcare, finance, and criminal justice, it is critical that those responsible for building these systems think outside the black box and develop systems that are not only accurate, but also transparent and trustworthy. This course is a comprehensive, hands-on guide to Explainable Machine Learning (XAI), empowering you to develop AI solutions that are aligned with responsible AI principles. Through discussions, case studies, programming labs, and real-world examples, you will gain the following skills: 1. Implement local explainable techniques like LIME, SHAP, and ICE plots using Python. 2. Implement global explainable techniques such as Partial Dependence Plots (PDP) and Accumulated Local Effects (ALE) plots in Python. 3. Apply example-based explanation techniques to explain machine learning models using Python. 4. Visualize and explain neural network models using SOTA techniques in Python. 5. Critically evaluate interpretable attention and saliency methods for transformer model explanations. 6. Explore emerging approaches to explainability for large language models (LLMs) and generative computer vision models. This course is ideal for data scientists or machine learning engineers who have a firm grasp of machine learning but have had little exposure to XAI concepts. By mastering XAI approaches, you'll be equipped to create AI solutions that are not only powerful but also interpretable, ethical, and trustworthy, solving critical challenges in domains like healthcare, finance, and criminal justice. To succeed in this course, you should have an intermediate understanding of machine learning concepts like supervised learning and neural networks.
Packt
Blender Essentials for 3D Plant and Vegetation Modeling
In this comprehensive course, you'll embark on a journey through the essentials of 3D plant and vegetation modeling using Blender. The course starts with a solid foundation, guiding you through the setup of Blender and introducing the basic tools you'll need to create realistic plant models. As you progress, you'll dive into more advanced topics, such as HDRI lighting, which allows you to preview your models in realistic environments. The course then transitions into the intricate process of shrub and grass modeling, where you'll learn how to create 3D vegetation with realistic thickness and texture. Each lesson is designed to build your skills progressively, from setting up UV coordinates for texture painting to adding detailed roughness textures using PBR materials. You'll also explore the art of creating variations in plant clusters, giving you the tools to populate any 3D environment with lush, natural-looking foliage. By the end of this course, you'll have the expertise to create a variety of 3D plants, from simple shrubs to complex wild grasses and flowers. You'll understand how to texture and paint your models to achieve depth and realism, and you'll be able to manipulate your creations to fit any design scenario. This course is perfect for those looking to enhance their 3D modeling portfolio and bring their digital environments to life. This course is designed for 3D artists and aspiring digital environment designers who have a basic understanding of Blender. Familiarity with 3D modeling concepts is recommended but not required.
EDUCBA
ARM Cortex (STM32) Deep Dive: Mastering Embedded Systems
Learning Outcomes By the end of this course, learners will be able to: 1) Master the fundamentals and advanced features of ARM Cortex (STM32) microcontrollers. 2) Design and implement efficient embedded systems using STM32. 3) Develop and debug firmware using industry-standard tools and techniques. 4) Integrate peripherals and optimize system performance for real-world applications. Course Benefits :- This course offers a comprehensive deep dive into the ARM Cortex (STM32) microcontrollers, making it ideal for those seeking to enhance their expertise in embedded systems. Learners will benefit from hands-on projects and real-world scenarios, ensuring they can apply their knowledge immediately. The course is structured to build from basic concepts to advanced topics, catering to both beginners and experienced developers. Unique to this course are the in-depth lab exercises and direct interaction with professional-grade development tools, providing a realistic and practical learning experience. Unique Features :- 1) Hands-On Projects: Engage with practical, real-world projects to solidify your understanding. 2) Expert Instruction: Learn from industry professionals with extensive experience in embedded systems. 3) Comprehensive Coverage: From fundamentals to advanced topics, this course ensures thorough mastery. Target Learners :- This course is designed for embedded systems engineers, electronics enthusiasts, computer engineering students, and software developers looking to specialize in embedded systems with ARM Cortex (STM32) microcontrollers. Prerequisites :- 1) Basic knowledge of electronics and microcontroller concepts. 2) Familiarity with C/C++ programming. 3) Prior experience with any microcontroller development platform is beneficial but not mandatory. Embark on your journey to mastering embedded systems with the ARM Cortex (STM32) and elevate your career with advanced technical skills and hands-on experience.
University of Geneva
Chemical Biology
Chemical biology is a burgeoning field that has rapidly risen to prominence. This surge of interest has been fuelled by chemical biology’s applicability to understanding critical processes in live cells or model organisms in real time. This success has arisen because chemical biology straddles a nexus between chemistry, biology, and physics. Thus, chemical biology can harness rapid chemistry to observe or perturb biological processes, that are in turn reported using physical assays, all in an otherwise unperturbed living entity. Although its boundaries are endless, the multidisciplinary nature of chemical biology can make the field seem daunting; we beg to differ! Here, we deconstruct chemical biology into its core components, and repackage the material. In the process we build up for each student a practical and theoretical knowledge bank that will set these students on their way to understanding and designing their own chemical biology experiments. We will discuss fluorescence as a general language used to read out biological phenomena as diverse as protein localization, membrane tension, surface phenomena, and enzyme activity. We will proceed to discuss protein labeling strategies and fusion protein design. Then we will discuss larger and larger scale chemical biology mechanism and screening efforts. Highlights include a large amount of new data, tailored in the lab videos, and a large number of skilled presenters.
Google
Daten bereinigen
Dies ist der vierte Kurs im Google Data Analytics Certificate. In diesen Kursen lernen Sie alles, was Sie für eine Einstiegsposition in der Datenanalyse benötigen. In diesem Kurs bauen Sie Ihr Verständnis für Data Analytics und die Konzepte und Tools aus, die Fachkräfte für Datenanalyse bei ihrer Arbeit verwenden. Sie erfahren, wie Sie Ihre Daten mithilfe von Tabellenkalkulationen und SQL überprüfen und bereinigen und wie Sie die Ergebnisse der Datenbereinigung verifizieren und einen Bericht dazu erstellen können. Bei Google tätige Fachleute für Datenanalyse werden Sie weiterhin anleiten und Ihnen praktische Möglichkeiten zeigen, mit denen Sie übliche Aufgaben von Fachleuten für Datenanalyse mithilfe der besten Tools und Ressourcen erledigen können. Nach Abschluss dieses Zertifikatsprogramms sind Lernende gerüstet, um sich auf Einstiegspositionen in der Datenanalyse zu bewerben. Es sind keine Vorkenntnisse erforderlich. Nach Abschluss dieses Kurses können Sie Folgendes: - Lernen, die Datenintegrität zu überprüfen - Datenbereinigungstechniken mit Tabellenkalkulationen entdecken - Grundlegende SQL-Abfragen zur Verwendung mit Datenbanken entwickeln - Grundlegende SQL-Funktionen zum Transformieren von Datenvariablen anwenden - Eine Vorstellung entwickeln, wie die Ergebnisse von Datenbereinigungen verifiziert werden - Die Elemente und die Bedeutung von Berichten zur Datenbereinigung erörtern
University of Pennsylvania
Introduction to Corporate Finance
This course provides a brief introduction to the fundamentals of finance, emphasizing their application to a wide variety of real-world situations spanning personal finance, corporate decision-making, and financial intermediation. Key concepts and applications include: time value of money, risk-return tradeoff, cost of capital, interest rates, retirement savings, mortgage financing, auto leasing, capital budgeting, asset valuation, discounted cash flow (DCF) analysis, net present value, internal rate of return, hurdle rate, payback period.