The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Packt
Advanced Deployment, MLOps, and Generative AI in Azure
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. In this course, you will master advanced deployment strategies, MLOps, and generative AI using Azure ML Studio. You’ll explore techniques to scale machine learning workloads with parallel processing, distributed training, and serverless deployments, including deployment on edge devices and Kubernetes. Learn to manage machine learning workflows with Azure DevOps, GitHub Actions, and Infrastructure as Code (IaC), ensuring seamless integration and security. You’ll also dive into the fundamentals of generative AI, understanding how models like GPT, DALL·E, and others are revolutionizing the AI landscape, and how to fine-tune these models for specific tasks. Throughout the course, you’ll gain hands-on experience with real-time and batch inference, logging, and model monitoring using Azure Monitor and Application Insights. You will also work with cutting-edge tools to optimize models for inference speed and deploy them in production environments. The course will equip you with the skills to operationalize machine learning models effectively, from deployment to monitoring, ensuring they stay efficient and secure over time. This course is designed for professionals and developers looking to advance their skills in machine learning operations (MLOps) and explore the transformative potential of generative AI models. You will work with practical demos to apply what you learn in real-world scenarios, building deployable models that integrate seamlessly with your existing systems. By the end of the course, you will be able to deploy machine learning models using advanced strategies like distributed training and serverless deployment. Implement MLOps pipelines with Azure DevOps and GitHub Actions for end-to-end automation, and Fine-tune and optimize generative AI models like GPT and DALL·E for customized tasks.
Coursera
Create a Flyer Using Microsoft Word
After successfully completing this project, you will have created a visually appealing flyer using Microsoft Word. While building a flyer, you will use various features in Word. You will use the Insert feature to insert a picture in a document. Other features you will use include applying styles to text and pictures. You will insert a numbered list, convert it to a bulleted list, and then modify the bullets. You will also discover how to apply a theme to a document.
Starweaver
IIBA® Entry Certificate in Business Analysis™ (ECBA™) Exam Prep
This IIBA®-endorsed course prepares the learners to pass an industry-leading certification for aspiring business analysts - Entry Certificate in Business Analysis™ (ECBA™) by IIBA®. This certification prepares and equips Business Analysis Professionals with expertise and key competencies to start their career. The certification improves the marketability, employability, and earning potential of practitioners. Entry Certificate in Business Analysis™ (ECBA™) provides individuals, with no business analysis experience who are developing their business analysis skills, with a certificate that recognizes their entry into the business analysis profession. The target audience for this information includes individuals aspiring to become business analysts, as well as those who already have less than two years of experience in the field. Project managers, product owners, and anyone with an interest in obtaining an IIBA certification are also included in the intended audience. Furthermore, this information is relevant for professionals who are currently certified by IIBA and are seeking opportunities for professional development units. While prior exposure or interest in the business analysis profession is beneficial, it is not mandatory for participation in the course. However, obtaining IIBA® membership and having access to the BABOK® Guide is recommended, as the course expects participants to read the corresponding BABOK® chapters as they progress. This additional resource can enhance the learning experience and provide valuable insights into the principles and practices of business analysis.
Howard University
Business Modeling Tools
This course introduces learners to the Data Analysis tools in Microsoft Excel. More specifically, learners will focus on how to build and use single regression and multiple regression to solve business problems.
Scrum Alliance
Becoming an Agile Coach
As an agile coach, you'll shift between different stances based on what the situation calls for. A "stance" is the role or approach you choose—such as facilitating, teaching, leading, or advising—to help people navigate challenges and move toward greater effectiveness as a team. This self-paced course explores each stance in depth, preparing you to guide teams and leaders through agile adoption hurdles, resistance to change, everyday conflicts, and other obstacles on the path to continuous improvement: Facilitating Teaching Mentoring Advising Leading Coaching You'll gain the confidence to navigate complex roadblocks, ignite continuous improvement, and shape resilient, high-performing teams. If you've ever wanted to lead transformations with skill, empathy, and impact, this is where you begin.
Georgia Institute of Technology
Mechanics of Materials III: Beam Bending
This course explores the analysis and design of beam bending problems. Prerequisite Knowledge: You will need to have successfully completed my earlier course “Mechanics of Materials I: Fundamentals of Stress and Strain and Axial Loading” in order to be successful in this course ------------------------------------------------- The copyright of all content and materials in this course are owned by either the Georgia Tech Research Corporation or Dr. Wayne Whiteman. By participating in the course or using the content or materials, whether in whole or in part, you agree that you may download and use any content and/or material in this course for your own personal, non-commercial use only in a manner consistent with a student of any academic course. Any other use of the content and materials, including use by other academic universities or entities, is prohibited without express written permission of the Georgia Tech Research Corporation. Interested parties may contact Dr. Wayne Whiteman directly for information regarding the procedure to obtain a non-exclusive license.
Arizona State University
Zn and Ni Based Batteries
Zn and Ni based Batteries: This course focuses on identifying active materials, chemistry and manufacturing processes as they relate to Zn as well as Ni batteries Battery selection and sizing for various applications.
University of Illinois Urbana-Champaign
Business Analytics Executive Overview
Businesses run on data, and data offers little value without analytics. The ability to process data to make predictions about the behavior of individuals or markets, to diagnose systems or situations, or to prescribe actions for people or processes drives business today. Increasingly many businesses are striving to become “data-driven”, proactively relying more on cold hard information and sophisticated algorithms than upon the gut instinct or slow reactions of humans. This course will focus on understanding key analytics concepts and the breadth of analytic possibilities. Together, the class will explore dozens of real-world analytics problems and solutions across most major industries and business functions. The course will also touch on analytic technologies, architectures, and roles from business intelligence to data science, and from data warehouses to data lakes. And the course will wrap up with a discussion of analytics trends and futures.
Coursera
Web Development with Angular 16: Enhance an existing website
In this 1.5-hour long project-based course, you will learn four new features of Angular 16. We will do this by fixing and implementing new features on an existing auto part warehouse website. Angular 16 has new features that improve coding practice, content-refresh, reactiveness, and build system. In this project, we will learn about required input, alias, signals, non-destructive hydration, and faster rebuild.
Packt
Advanced Routing, Infrastructure, and Network Management
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 offers an in-depth exploration of advanced networking technologies and infrastructure management, designed for IT professionals aiming to master complex network environments. Beginning with foundational infrastructure concepts, the course covers IEEE 802.1Q trunking, VLAN management, and the principles of spanning tree protocols. You'll delve into advanced Layer 2 technologies such as EtherChannel and Multiple Spanning Tree, learning how to configure and troubleshoot these critical components to optimize network performance and resilience. As the course progresses, you will tackle sophisticated routing protocols like OSPF and BGP. Each module is structured to provide a thorough understanding of theory, followed by practical configuration and troubleshooting exercises. You'll explore OSPF neighbor formation, route summarization, and the nuances of BGP path selection and IPv6 routing. These hands-on labs and real-world scenarios are designed to enhance your ability to implement, manage, and optimize complex routing solutions in any enterprise network. The final sections focus on network services and management, covering essential tools such as SNMP, Syslog, and NetFlow. You’ll gain expertise in configuring IP SLA, Policy-Based Routing, and Embedded Event Manager (EEM) for automated network responses. This comprehensive training ensures you are well-equipped to manage, monitor, and secure large-scale network infrastructures, making you a valuable asset in any IT environment. This course is intended for network engineers, IT professionals, and systems administrators who have a foundational knowledge of networking concepts and are looking to advance their skills in routing, infrastructure, and network management. Prior experience with basic network configuration and troubleshooting is recommended.
The Hong Kong University of Science and Technology
Critical Reading and Writing Skills with GenAI
In the age of GenAI, where artificial intelligence (AI) and advanced technologies shape our information landscape, the ability to critically read and write has become more important than ever. Throughout this five-module course, you will build a strong foundation in critical thinking, explore the challenges and opportunities presented by GenAI for critical reading and writing, and harness the power of GenAI tools to enhance your reading and writing abilities. The course is designed to help you engage with information critically, evaluate arguments, detect biases, and communicate persuasively. The course content is structured to provide a balance between theoretical knowledge and practical application. You will develop essential skills through a combination of interactive lessons, real-world examples, hands-on activities, and engaging discussions. You will gain proficiency in utilizing GenAI tools for text analysis, summarization, and comprehension enhancement, while also considering ethical and responsible use of GenAI. By the end of the course, you will have gained expertise in evaluating arguments and detecting biases and acquired the ability to critically review GenAI outputs. You will be well-equipped to navigate the GenAI era with confidence, engage in thoughtful analysis, and produce well-crafted written pieces.
Technical University of Denmark (DTU)
Whole genome sequencing of bacterial genomes - tools and applications
This course will cover the topic of Whole genome sequencing (WGS) of bacterial genomes which is becoming more and more relevant for the medical sector. WGS technology and applications are high on international political agenda, as the classical methods are being replaced by WGS technology and therefore bioinformatic tools are extremely important for allowing the people working in this sector to be able to analyze the data and obtain results that can be interpreted and used for different purposes. The course will give the learners a basis to understand and be acquainted with WGS applications in surveillance of bacteria including species identification, typing and characterization of antimicrobial resistance and virulence traits as well as plasmid characterization. It will also give the opportunity to learners to learn about online tools and what they can be used for through demonstrations on how to use some of these tools and exercises to be solved by learners with use of freely available WGS analysis tools . By the end of this course you should be able to: 1. Describe the general Principles in typing of Bacteria 2. Give examples of the applications of Whole Genome Sequencing to Surveillance of bacterial pathogens and antimicrobial resistance 3. Apply genomic tools for sub-typing and surveillance 4. Define the concept of Next-Generation Sequencing and describe the sequencing data from NGS 5. Describe how to do de novo assembly from raw reads to contigs 6. Enumerate the methods behind the tools for species identification, MLST typing and resistance gene detection 7. Apply the tools for species identification, MLST typing and resistance gene detection in real cases of other bacterial and pathogen genomes. 8. Describe the methods behind the tools for Salmonella and E.coli typing, plasmid replicon detection and plasmid typing 9. Utilize the tools for Salmonella and E.coli typing, plasmid replicon detection and plasmid typing in real cases of other bacterial and pathogen genomes. 10. Explain the concept and be able to use the integrated bacterial analysis pipeline for batch analysis and typing of genomic data 11. Demonstrate how to construct phylogenetic tree based on SNPs 12. Apply the phylogenetic tool to construct phylogenetic trees and explain the relatedness of bacterial or pathogen strains 13. Describe how to create your own sequence database 14. Utilize the MyDbFinder tool to detect genetic markers of interest from whole genome sequencing
Google Cloud
Google Cloud Customer Care Fundamentals - 日本語版
このコースでは、Google Cloud サポートを最大限に活用する方法について説明します。Google Cloud カスタマーケアが提供するさまざまなサポート サービス、サポートケースを作成および管理する方法、Google Cloud のサービスに影響を与える既知の問題を確認する方法、サポート エンジニアと効果的にコミュニケーションを取る方法について学習します。さらに、さまざまなケースの優先順位付けとサービスレベル目標（SLO）についても学習し、ケースのステータスや必要に応じてサポートケースをエスカレーションする方法についての理解を深めます。
University of Michigan
Inferential Statistical Analysis with Python
In this course, we will explore basic principles behind using data for estimation and for assessing theories. We will analyze both categorical data and quantitative data, starting with one population techniques and expanding to handle comparisons of two populations. We will learn how to construct confidence intervals. We will also use sample data to assess whether or not a theory about the value of a parameter is consistent with the data. A major focus will be on interpreting inferential results appropriately. At the end of each week, learners will apply what they’ve learned using Python within the course environment. During these lab-based sessions, learners will work through tutorials focusing on specific case studies to help solidify the week’s statistical concepts, which will include further deep dives into Python libraries including Statsmodels, Pandas, and Seaborn. This course utilizes the Jupyter Notebook environment within Coursera.
Wesleyan University
Data Management and Visualization
Whether being used to customize advertising to millions of website visitors or streamline inventory ordering at a small restaurant, data is becoming more integral to success. Too often, we’re not sure how use data to find answers to the questions that will make us more successful in what we do. In this course, you will discover what data is and think about what questions you have that can be answered by the data – even if you’ve never thought about data before. Based on existing data, you will learn to develop a research question, describe the variables and their relationships, calculate basic statistics, and present your results clearly. By the end of the course, you will be able to use powerful data analysis tools – either SAS or Python – to manage and visualize your data, including how to deal with missing data, variable groups, and graphs. Throughout the course, you will share your progress with others to gain valuable feedback, while also learning how your peers use data to answer their own questions.
University of Cambridge
Introduction to Cognitive Psychology and Neuropsychology
This course is an introduction to human cognition and how it is explored. You will explore how Psychology was born as a separate discipline and how we began to study the nervous system in terms of functions, abilities and traits linking brain, mind, behavior and relationship with the environment. With this course we will also explore the main cognitive functions, such as memory, language, attention and perception and look at how they are investigated.