The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Alex Genadinik
Stop Procrastination - Avoid Self Sabotage With Good Habits
Identify the root cause of your procrastination, fix it, overcome procrastination with healthier habits, and make yourself more productive for the rest of your career! In this course, you will examine procrastination from a number of different perspectives, and explain how to reverse it. You will be introduced to a number of different reasons why you may be procrastinating so that you can identify why you are doing, and what psychological barriers you may be facing. Once you get help identifying the psychological causes for your procrastinating, you will be shown how to reverse your procrastination habit with practical exercises and steps to reverse your procrastination. BIOLOGY AND HORMONES THAT PLAY A ROLE IN YOUR PROCRASTINATION OR PRODUCTIVITY Your body releases different hormones that impact your motivation to do or not do various tasks. Procrastination is also affected by additional biological factors like your overall focus and even your sleep. SEE MY PROCRASTINATION REVERSAL CASE STUDY The course wraps up with my own case study on how I stopped procrastinating and became ultra-productive. Sign up for the course now! Let's get you to stop procrastinating and get you on your way to be more productive and successful. PRODUCTIVITY AND PROCRASTINATION REVERSAL APPS I recently added a list of productivity apps and software that can help you reverse procrastination and build good habits. RESPONSIVE AND CARING INSTRUCTOR: WORLD-CLASS STUDENT SUPPORT If you have questions, know that I am here to help! I answer 99% of student questions within 24 hours. Many students tell me that other instructors don't respond. Well, I do because 1) I care about my students. 2) I feel a responsibility to make sure that students get their money's worth from the course. CERTIFICATE OF COMPLETION WHEN YOU FINISH THE COURSE When you complete 100% of the videos in this procrastination course, you will be emailed a certificate of completion by Udemy so you can show it as proof of your procrastination reversal expertise, and that you have completed a certain number of hours of instruction about procrastination. MONEY-BACK GUARANTEE This procrastination reversal course comes with an unconditional, Udemy-backed, 30-day money-back guarantee. This is not just a guarantee, it's my personal promise to you that I will go out of my way to help you succeed just like I've done for thousands of my other students. PRACTICAL, NOT THEORETICAL This course will give you strategies that are immediately applicable to help you beat procrastination. STOP PROCRASTINATION DUE TO FEAR OF FAILURE (Atychiphobia) Sometimes we start because we are worried about failing or being criticized. In this course, I'll help you address that too. WHEN YOU COMPLETE THIS PROCRASTINATION COURSE After completing this course, you’ll have the skills that will allow you to reverse procrastination and start living a productive, efficient and happier life. From breaking down bigger tasks into more manageable chunks, to tackling jobs you find scary or despise, this course will motivate you to take control of your life and get the job done. I hope you join the course. Sign up today and let's begin reversing your procrastination.
University of Virginia
Marketing Analytics
Organizations large and small are inundated with data about consumer choices. But that wealth of information does not always translate into better decisions. Knowing how to interpret data is the challenge -- and marketers in particular are increasingly expected to use analytics to inform and justify their decisions. Marketing analytics enables marketers to measure, manage and analyze marketing performance to maximize its effectiveness and optimize return on investment (ROI). Beyond the obvious sales and lead generation applications, marketing analytics can offer profound insights into customer preferences and trends, which can be further utilized for future marketing and business decisions. This course, developed at the Darden School of Business at the University of Virginia, gives you the tools to measure brand and customer assets, understand regression analysis, and design experiments as a way to evaluate and optimize marketing campaigns. You'll leave the course with a solid understanding of how to use marketing analytics to predict outcomes and systematically allocate resources. You can follow my posts in Twitter, @rajkumarvenk, and on linkedin: https://www.linkedin.com/in/education-marketing. Thanks, Raj Professor of Business Administration at Darden
Packt
Deploy AI Agents with Amazon Bedrock – Step-by-Step Guide
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. This course provides a hands-on guide to deploying intelligent AI agents using Amazon Bedrock, taking you from foundational knowledge to building advanced AI workflows. You'll begin by familiarizing yourself with AWS account setup, the basic concepts of Amazon Bedrock, and the essential features of the platform. The course guides you step by step through the process of setting up and deploying AI agents, integrating knowledge bases, and using Lambda functions to enhance agent capabilities. The in-depth focus on Amazon Bedrock’s architecture and pricing ensures you fully understand how to optimize costs and build scalable solutions. The journey continues with a comprehensive exploration of Amazon Bedrock's agent structure, where you’ll gain insight into workflows, runtime operations, and action groups. You’ll have multiple opportunities to work hands-on, testing your understanding by developing a simple AI agent and progressing to a full-fledged web scraper agent in the Capstone Project. This practical experience ensures you develop the technical skills to confidently work with Amazon Bedrock. This course is ideal for those looking to explore AI agent deployment in a cloud environment. It is designed for individuals with prior AWS account knowledge and an interest in AI, cloud computing, and automation. Whether you're looking to start a career in AI or expand your technical expertise, this course equips you with real-world skills that are highly valuable in the evolving tech landscape. By the end of the course, you will be able to deploy and manage intelligent AI agents using Amazon Bedrock, navigate its console interface, optimize workflows, and build scalable AI applications for real-world use cases.
Coursera
Collaborate, Review, and Decide on AI Apps
Collaborate, Review, and Decide on AI Apps is an intermediate course designed for developers, engineers, and technical leads who want to master the essential soft skills that drive successful projects. Writing great code is only half the battle; the most effective technical professionals are also expert collaborators. This course moves beyond the code to teach you how to communicate, review, and lead with confidence. Drawing on real-world agile practices, you will learn frameworks to design and deliver stakeholder communication strategies that translate complex technical features into clear, actionable insights—ensuring alignment between developers and business stakeholders. You will master the art of the peer review, learning how to analyze application logic and provide constructive critiques that improve code quality and foster team growth. Finally, you will learn structured techniques to evaluate competing technical options and guide your team to consensus, breaking through deadlocks and driving projects forward. This course will equip you with the necessary skills to become a key influencer on your team, capable of ensuring alignment, quality, and clear decisions from concept to deployment.
Coursera
GenAI for Legal Document Management
This course is designed to empower legal professionals with the skills to integrate Generative Artificial Intelligence (GenAI) into their document management processes. By leveraging GenAI, participants will learn to automate repetitive tasks, enhance accuracy, and optimize overall workflow efficiency, thereby staying competitive in today's technology-driven legal landscape. This course is tailored for legal professionals—including attorneys, paralegals, legal operations managers, and law firm administrators—who aim to reduce administrative burdens and streamline document management through AI. Additionally, it benefits technology enthusiasts in law, compliance officers, legal tech entrepreneurs, and law students interested in the intersection of law and technology. While there are no formal prerequisites, a solid understanding of legal terminology and procedures is highly recommended. Familiarity with concepts such as contract law, litigation, and regulatory compliance will aid in comprehending the course material. Prior experience with legal document management systems and a basic understanding of artificial intelligence are advantageous but not required. By the end of this course, you will be able to identify areas where Generative AI can enhance accuracy and efficiency in legal document management systems. You'll learn to implement AI tools and techniques to automate tasks like drafting, reviewing, and organizing legal documents. Additionally, you'll evaluate how AI-driven document management systems improve legal processes and reduce errors, and design optimal legal document management systems using AI technologies to save time and boost productivity.
Google Cloud
Modernisasi Situs dengan AI Generatif di Google Cloud
Tingkatkan pengalaman navigasi situs Anda menggunakan AI generatif untuk memberikan pengalaman penelusuran yang lebih baik bagi pengguna. Di kursus ini, Anda akan mempelajari cara menggunakan Vertex AI Search untuk memberikan pengalaman penelusuran generatif kepada pengguna situs Anda, sehingga mereka dapat menemukan konten yang ditawarkan oleh situs tersebut. Sebagai editor situs, Anda juga akan belajar cara menggunakan AI generatif untuk menerjemahkan dan meningkatkan kualitas konten dengan cepat dan efisien menggunakan saran.
Coursera
Как пользоваться Twitter Ad Manager и смотреть результаты
В этом курсе-проекте продолжительностью 1 час вы научитесь пользоваться Twitter Ad Manager и смотреть результаты ваших рекламных кампаний, а также получать аналитику по вашему аккаунту в Twitter. Примечание. Этот курс изначально создан для учащихся из Северной Америки. На данный момент мы адаптируем его и для других регионов.
EDUCBA
Linux Bash Scripting: Automate, Optimize & Deploy
Learners will master conditional logic, build interactive scripts, automate loops, and design real-world projects using advanced Linux Bash scripting. By the end of the course, students will be able to apply conditional statements, design user-friendly prompts, optimize loops, manipulate variables, create functions, and manage remote operations with SSH and signals. This course provides a step-by-step progression from foundational constructs to advanced scripting applications. Starting with if-else logic and Boolean operators, learners gain the ability to design flexible and logical workflows. Next, the focus shifts to interactive scripts and file redirection, equipping students to build responsive automation tools. In later modules, learners explore looping constructs, break/continue statements, select menus, and argument handling to streamline scripts. Finally, the course emphasizes real-world applications, including arrays, arithmetic, functions, SSH-based automation, backup scripting, and process control using Linux signals. Unlike basic Bash tutorials, this program integrates hands-on examples, practical exercises, and project-based scripting, ensuring that learners gain both conceptual clarity and applied expertise. Whether preparing for system administration, DevOps, or cloud automation, this course delivers the essential Bash skills to design, optimize, and execute powerful Linux scripts.
Coursera
Explain Black-Box Models
Ready to unlock the mystery behind your most powerful models? This Short Course was created to help data analysis professionals accomplish transparent and trustworthy AI implementation. By completing this course, you'll master SHAP values for executive communication, systematically compare explainability methods, and align explanation strategies with stakeholder needs. By the end of this course, you will be able to: Apply SHAP values to a black-box model and produce feature-importance visuals interpretable by non-technical executives Evaluate two XAI methods (LIME vs. SHAP) for fidelity and stability on the same model and dataset Apply counterfactual and surrogate-model explanations to the same black-box model and compare stakeholder preference scores Evaluate explanation completeness using fidelity metrics and recommend the superior approach This course is unique because it bridges advanced explainability techniques with business communication, ensuring complex model insights drive informed decision-making. To be successful in this project, you should have a background in Python programming and machine learning fundamentals.
University of Virginia Darden School Foundation
Content Marketing Using Generative AI
The Content Marketing in Generative AI course provides you with a foundational knowledge of digital marketing and how Generative AI continues to revolutionize the way marketing organizations effectively manage content. This course focuses on the developing and expanding the necessary skills and expertise for effective online brand promotion by leveraging customer insights to optimize marketing campaigns and understanding customer sentiments. This course is ideal for marketing professionals seeking to gain a basic understanding of digital marketing and Generative AI applications, and the necessary skills and knowledge to design a Generative AI marketing strategy in an organization.
Packt
Planning and Control Using Microsoft Project 365 and 2021
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. Gain the skills needed to master project planning and control using Microsoft Project 365 and 2021. By the end of the course, you will be able to plan and schedule projects effectively, manage resources, track progress, and create comprehensive reports. Whether you’re working on small or large-scale projects, this course will help you develop an organized approach to project management. You will begin by getting familiar with the software's interface and settings, followed by practical exercises on project scheduling, task management, and resource allocation. As the course progresses, you will dive deeper into advanced features, such as task dependencies, resource optimization, and progress tracking, ensuring your project management skills are both thorough and practical. The course includes hands-on workshops that reinforce each module’s key concepts, allowing you to apply what you've learned in real-world project scenarios. By the end of the course, you will feel confident managing your projects using Microsoft Project 365 & 2021 and effectively handling complex project workflows. This course is ideal for anyone looking to gain expertise in project planning and management, including project managers, team leaders, and aspiring project coordinators. Some familiarity with project management concepts will be helpful, but no prior experience with Microsoft Project is necessary.
UBITS
Líder: potencia la creatividad en equipos centennials
Este curso está diseñado para líderes que desean gestionar y potenciar la creatividad en equipos compuestos por centennials. A lo largo del curso, aprenderás a implementar técnicas efectivas para fomentar la libre expresión de ideas y adaptar tu comunicación al estilo de los centennials, facilitando así una mejor comprensión y colaboración. También explorarás estrategias para promover la colaboración intergeneracional, asegurando que las diferentes generaciones trabajen juntas de manera cohesiva. En suma, obtendrás herramientas prácticas para fortalecer la confianza y la cohesión dentro del equipo, optimizando el rendimiento y la innovación en el entorno laboral.
University of Colorado System
Identifying Patient Populations
This course teaches you the fundamentals of computational phenotyping, a biomedical informatics method for identifying patient populations. In this course you will learn how different clinical data types perform when trying to identify patients with a particular disease or trait. You will also learn how to program different data manipulations and combinations to increase the complexity and improve the performance of your algorithms. Finally, you will have a chance to put your skills to the test with a real-world practical application where you develop a computational phenotyping algorithm to identify patients who have hypertension. You will complete this work using a real clinical data set while using a free, online computational environment for data science hosted by our Industry Partner Google Cloud.
University of Colorado Boulder
Fundamentals of Natural Language Processing
The field of natural language processing (NLP) aims at getting computers to perform useful and interesting tasks with human language. This course introduces students to the 3 pillars underlying modern NLP: probabilistic language models, simple neural networks with a focus on gradient based learning, and vector-based meaning representations in the form of word embeddings. At the end of the course, students will be able to implement and analyze probabilistic language models based on N-grams, text classifiers using logistic regression and gradient-based learning, and vector-based approaches to word meaning and text classification. This course can be taken for academic credit as part of CU Boulder’s MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
Coursera
Graduate Admission Prediction with Pyspark ML
In this 1 hour long project-based course, you will learn to build a linear regression model using Pyspark ML to predict students' admission at the university. We will use the graduate admission 2 data set from Kaggle. Our goal is to use a Simple Linear Regression Machine Learning Algorithm from the Pyspark Machine learning library to predict the chances of getting admission. We will be carrying out the entire project on the Google Colab environment with the installation of Pyspark. You will need a free Gmail account to complete this project. Please be aware of the fact that the dataset and the model in this project, can not be used in the real-life. We are only using this data for the learning purposes. By the end of this project, you will be able to build the linear regression model using Pyspark ML to predict admission chances.You will also be able to setup and work with Pyspark on the Google Colab environment. Additionally, you will also be able to clean and prepare data for analysis. You should be familiar with the Python Programming language and you should have a theoretical understanding of Linear Regression algorithm. 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.
Coursera
Keep Templates On-Brand
Transform your email marketing from scattered to spectacular through strategic brand governance. This Short Course was created to help marketing professionals accomplish consistent, professional email communications that strengthen brand recognition and trust. By completing this course, you'll be able to apply brand governance practices to email campaigns, ensuring visual consistency across all communications while maintaining alignment with evolving brand strategies. By the end of this course, you will be able to: Ensure email visual elements stay consistent with brand guidelines, including logo usage and color scheme adherence Perform periodic brand audits to confirm email templates align with evolving brand repositioning strategies This course is unique because it combines practical brand compliance techniques with strategic evaluation skills, giving you both the tactical and analytical tools needed for professional email marketing. To be successful in this course, you should have a background in basic email marketing platforms and brand design principles.