The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Logical Operations
PCEP: Python Data Processing
In this course, you'll continue developing your Python skills by processing simple data types like integers and strings. You'll also process more complex data structures like lists, sets, and dictionaries. This is the second course in a multi-course Specialization. All of the courses in this Specialization require that you use the provided virtual machine, which includes an installation of Python. The course setup instructions provided in the first course go into more detail about the hardware and software requirements.
Google Cloud
Build Generative AI Agents with Vertex AI and Flutter
In this course, you learn how to develop an app using Flutter, Google's portable UI toolkit, and integrate the app with Gemini, Google's family of generative AI models. You also use Vertex AI Agent Builder, Google's platform for building and managing AI Agents and applications.
Northeastern University
Future Healthcare Payment Models
This course will review the drivers of healthcare cost and solutions that have been proposed to address cost, quality and value of health care. Many point blame for high costs on payment models that pay healthcare providers for every service they provide to patients, essentially paying more for volume and service intensity. This is called a Fee for Service (FFS) payment model. Some solutions, arguably the more sustainable solutions, are the combined strategies of new payment models, care management, insurance plan designs, consumer engagement tools, and technology. Using that information we will explore various situations, showcasing coordinated care and payment strategies that can be implemented to improve patient health and the cost of delivery of healthcare services. By the end of this course, the learner should be able to: 1. Identify the drivers and trends of healthcare spending from the perspective of various stakeholders, including medical providers, insurers, government and private purchasers and payments 2. Critically assess the impact of strategic and financial approaches that have been put in place by the ACA and the various modifications. 3. Evaluate how healthcare payment models currently work and the new direction that value-based payment is taking. 4.Identify how financial and non-financial metrics can be appropriately combined to improve a healthcare stakeholders’ value proposition.
University of Colorado Boulder
Control of Nonlinear Spacecraft Attitude Motion
This course trains you in the skills needed to program specific orientation and achieve precise aiming goals for spacecraft moving through three dimensional space. First, we cover stability definitions of nonlinear dynamical systems, covering the difference between local and global stability. We then analyze and apply Lyapunov's Direct Method to prove these stability properties, and develop a nonlinear 3-axis attitude pointing control law using Lyapunov theory. Finally, we look at alternate feedback control laws and closed loop dynamics. After this course, you will be able to... * Differentiate between a range of nonlinear stability concepts * Apply Lyapunov’s direct method to argue stability and convergence on a range of dynamical systems * Develop rate and attitude error measures for a 3-axis attitude control using Lyapunov theory * Analyze rigid body control convergence with unmodeled torque The material covered is taking from the book "Analytical Mechanics of Space Systems" available at https://arc.aiaa.org/doi/book/10.2514/4.105210.
Amazon Web Services
AWS Generative AI Essentials
This course introduces developers to Generative AI with AWS from Amazon Q Developer that integrates directly into your development environment to Amazon Bedrock with its foundation models and customization features. You'll learn implementation strategies for integrating these AWS AI services into your development workflow, including working with prompts, setting up guardrails, and implementing best practices for building AI applications. You'll learn about how AWS has transformed the world of sports analytics, marketing platforms, and travel services. Get started and you'll discover how organizations are using AWS' AI services to uplevel their development processes.
Packt
Application deployment and management with Intune
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. This course equips you with the skills to deploy, configure, and manage enterprise applications using Microsoft Intune. You’ll learn to deploy Microsoft 365 apps, configure app protection and configuration policies, implement conditional access, and manage apps across platforms. By the end, you'll effectively secure and control applications using Intune, the Office Deployment Tool, and Group Policy. You'll explore configuring and enforcing policies with Intune, Group Policy, and the Microsoft 365 Apps Admin Center. Gain hands-on experience deploying apps to platform-specific stores and implementing security policies to protect enterprise data. By course completion, you'll be proficient in managing Microsoft 365 Apps, securing business applications, and configuring policies to enhance compliance. You'll also enforce conditional access policies to ensure secure app usage. Designed for IT professionals, system administrators, and security specialists managing enterprise apps. Basic knowledge of Microsoft 365 and cloud administration is recommended.
Duke University
Open Source LLMOps Solutions
Learn the fundamentals of large language models (LLMs) and put them into practice by deploying your own solutions based on open source models. By the end of this course, you will be able to leverage state-of-the-art open source LLMs to create AI applications using a code-first approach. You will start by gaining an in-depth understanding of how LLMs work, including model architectures like transformers and advancements like sparse expert models. Hands-on labs will walk you through launching cloud GPU instances and running pre-trained models like Code Llama, Mistral, and stable diffusion. The highlight of the course is a guided project where you will fine-tune a model like LLaMA or Mistral on a dataset of your choice. You will use SkyPilot to easily scale model training on low-cost spot instances across cloud providers. Finally, you will containerize your model for efficient deployment using model servers like LoRAX and vLLM. By the end of the course, you will have first-hand experience leveraging open source LLMs to build AI solutions. The skills you gain will enable you to further advance your career in AI.
Duke University
برمجة Java: إنشاء نظام ترشيح
هل تساءلت يومًا كيف يختار Netflix الأفلام التي يرشحها لك؟ أو كيف يرشح لك Amazon الكتب؟ يمكننا معرفة كيفية عمل ذلك من خلال إنشاء مرشِح مبسّط خاص بنا! في هذا المساق التكميلي، ستعرض مهاراتك في حل المشكلات وبرمجة Java من خلال إنشاء أنظمة المرشِح. ستتعامل مع بيانات الأفلام، والتي تتضمن التقييمات، ولكن المبادئ المُتَضمَنة يمكن تكييفها بسهولة مع الكتب والمطاعم وغير ذلك. ستكتب برنامجًا يجيب على أسئلة خاصة بالبيانات، بما في ذلك أي عناصر ينبغي ترشيحها إلى المستخدم بناءً على تقييمه لعدة أفلام. مع وجود ملفات الإدخال الخاصة بتقييمات المستخدمين وعناوين الأفلام، ستتمكن من: 1. تسجيل البيانات وتحليلها إلى قوائم وخرائط؛ 2. حساب متوسط التقييمات؛ 3. حساب مدى تشابه مقيّم معين مع مستخدم آخر بناءً على التقييمات؛ و 4. ترشيح الأفلام إلى مستخدم معين بناءً على التقييمات. 5. عرض الأفلام المرشَحة لمستخدم معين على صفحة الويب.
Duke University
Introduction to Retrieval Augmented Generation (RAG)
In this 2-hour project-based course, you will learn how to import data into Pandas, create embeddings with SentenceTransformers, and build a retrieval augmented generation (RAG) system with your data, Qdrant, and an LLM like Llamafile or OpenAI. This hands-on course will teach you to build an end-to-end RAG system with your own data using open source tools for a powerful generative AI application.
Coursera
GenAI for Learning and Development
Generative AI is revolutionizing industries across the board – and L&D is no exception. According to a recent McKinsey & Company report, AI could cut training task time by up to 40%. MIT researchers also found that AI tools can help workers, including learning and development professionals' complete tasks 37% faster and improve output quality by 20%. With statistics like these, it’s clear that Generative AI isn’t just a trend, it’s an absolute game-changer for the Learning and Development field. This course offers a hands-on, practical approach to integrating Generative AI into your L&D programs. You’ll explore real-life case studies, experiment with cutting-edge AI tools, and gain actionable insights you can apply immediately. With a focus on real-world applications, you’ll leave equipped to enhance your training initiatives while ensuring ethical and effective use of AI. This course isn’t just about why AI is important – it's about showing you how to use it to boost efficiency and effectiveness and also to inspire creativity in your learning programs. This course is designed for forward-thinking professionals in the Learning and Development ecosystem, including L&D specialists, HR managers and executives, corporate trainers, educational technologists, learning design consultants, and business leaders. Whether you're overseeing talent development strategies or directly involved in designing instructional content, this course will equip you with the knowledge and tools to harness Generative AI for impactful learning outcomes. It’s especially valuable for those looking to stay ahead in a rapidly evolving digital learning landscape. To get the most out of this course, learners should have a basic familiarity with AI tools such as ChatGPT and Microsoft Copilot. Additionally, a working knowledge of Learning and Development fundamentals is expected, including training strategy frameworks, instructional design best practices, and the ADDIE model. This foundational understanding will help participants contextualize how Generative AI can be applied to existing processes and enhance current learning interventions. By the end of this course, learners will be able to explore the transformative role of Generative AI in the L&D domain and demonstrate its use across various stages of the ADDIE model. Participants will also be able to utilize AI technologies to boost productivity and learning impact within their organizations. Furthermore, they will be equipped to describe best practices for the ethical and responsible use of AI in training environments, ensuring that innovation aligns with organizational values and learner needs.
Google
The Path to Insights: Data Models and Pipelines
This is the second of four courses in the Google Business Intelligence Certificate. In this course, you'll explore data modeling and how databases are designed. Then you’ll learn about extract, transform, load (ETL) processes that extract data from source systems, transform it into formats that enable analysis, and drive business processes and goals. Google employees who currently work in BI will guide you through this course by providing hands-on activities that simulate job tasks, sharing examples from their day-to-day work, and helping you build business intelligence skills to prepare for a career in the field. Learners who complete the four courses in this certificate program will have the skills needed to apply for business intelligence jobs. This certificate program assumes prior knowledge of foundational analytical principles, skills, and tools covered in the Google Data Analytics Certificate. By the end of this course, you will: -Determine which data models are appropriate for different business requirements -Describe the difference between creating and interacting with a data model -Create data models to address different types of questions -Explain the parts of the extract, transform, load (ETL) process and tools used in ETL -Understand extraction processes and tools for different data storage systems -Design an ETL process that meets organizational and stakeholder needs -Design data pipelines to automate BI processes
Coursera
Create a Budget with Google Sheets
By the end of this project, you will be able to build a basic budget using Google Sheets. You will use a template to add, delete, edit, and format a budget to meet the needs of your personal or professional goals. You will be able to read the summary tab, share the budget, and create permissions for others to access, format the charts, and use conditional formatting. You will also be able to take the Google Sheets Budget and put it into presentable files. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
University of Colorado Boulder
Primate Conservation
We are presently facing a potential extinction crisis for the order Primates (and many other life forms). In this course we will learn about threats to primate conservation globally. We will be using the, “Primates in Peril: The World’s 25 Most Endangered Primates 2018-2020” by Schwitzer et al. (2019) as a basis for the discussion of global primate populations. We will investigate conservation status, threats to conservations, success and failures within protecting our closest evolutionary cousins.
California Institute of the Arts
Introduction to Imagemaking
This course for serious makers, and for students new to imagemaking. Imagemaking is a fluid and exciting area of graphic design that comes out of practice and process: experimenting fearlessly, showing and sharing ideas, and giving and receiving knowledgeable and constructive input. For the sake of this online platform, we have applied some structure to our investigations, but for the most part imagemaking is loose and unstructured. If we must adopt a rule in this course it is only this: you will not become a graphic designer by watching videos alone. Or, don't just make stuff just in your head. So here, the focus here is on making, and you are expected to devote serious time and intellectual energy to that activity in this course. Specifically, you will: - experiment with a range of materials and techniques to make images for graphic design - expand your visual vocabulary both in terms of making and talking about work, in order to discuss your work and work of others - learn how to make, manipulate and arrange images to create compositions, eventually culminating in the design and production of an-image-based book. The first half of the course is an opportunity to experiment and explore imagemaking in order to expand your visual vocabulary. You will create pieces that are expressive, meditative, or 'design-y' to instigate, evoke, experiment, record, explain, or try out a media. In the second two weeks, we’ll invite the images to deliberately and intentionally carry meaning and communication through relational moves like juxtaposition, composition, and context. We’ll look at developing and expanding the range of approaches for putting things together by composing page spreads with your images. Since nothing exists without context, we look at how to intentionally drive the image’s connotations, meanings, and associations generated through elements of composition and “visual contrasts.” Ultimately, we will take the images that you create and make a book from them. The results of your assignments (and experiments) may generate something completely unknowable now or in the future—and that's the goal.
Simplilearn
AI, Automation, and Emerging Technology
This comprehensive AI in Digital Marketing program will equip you with the skills needed to excel in modern marketing. You'll learn to leverage AI technologies to transform your marketing strategies, optimize campaigns, and enhance user engagement. By the end of this course, you will be able to: - Understand AI in Marketing: Learn how AI enhances digital marketing strategies, from content creation to PPC and SEO, to drive better performance. - Utilize Predictive Analytics: Master predictive analytics and AI-driven customer insights to optimize marketing strategies and create precise micro-campaigns. - Leverage AI-Powered Visual Search: Explore how AI improves visual search, boosts product discovery, and enhances user experience through top tools and real-world examples. - Implement AI Chatbots: Discover how AI chatbots enhance user interactions and marketing success, including practical use of tools like HubSpot’s ChatBot Builder. - Apply AI in Image and Speech Recognition: Understand the role of AI in image and speech recognition, and explore its applications in marketing and business operations. Guided by industry experts, you’ll engage in hands-on activities and real-world examples to develop practical AI-driven marketing skills and gain a competitive edge.
Packt
Blender Beginner's Bootcamp
This course 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 full power of Blender with this hands-on beginner's bootcamp that walks you through the essential skills needed to model, texture, and detail professional-quality 3D assets. You'll gain confidence in navigating Blender’s interface, understanding 3D space, and working with industry-standard tools to build your own stylized and realistic models. The course begins with an introduction to Blender’s interface and key features, followed by foundational modeling lessons. As you progress, you’ll dive into structured projects such as building doors, crates, vehicles, bridges, staircases, and organic models like trees, teddy bears, and fantasy brooms. Each project builds your understanding of real-world techniques including UV unwrapping, texture painting, mesh deformation, and procedural modeling. In the latter half, you'll explore more complex workflows using modifiers, sculpting tools, geometry nodes, cloth simulations, and PBR textures. You'll also experiment with stylization, realism, and optimized asset creation for games, animation, and 3D scenes—finishing with fully-textured, portfolio-ready props and environments. This course is ideal for aspiring 3D artists, game developers, designers, and hobbyists. No prior 3D experience is required, though basic computer navigation skills are recommended. The course is beginner-friendly but thorough enough to give a solid grounding in 3D modeling and Blender’s production workflows. By the end of the course, you will be able to model, texture, and present fully-detailed 3D assets using Blender—ready for portfolios, games, animations, or further specialization.