The Global Scholarly Directory.
Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.
Packt
Delta PLC Simulation Unlocked
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 an in-depth guide to mastering PLC simulation with the Delta PLC simulator and integrating it with powerful tools. You’ll learn to configure and set up PLC environments for industrial applications while exploring integration with systems like FACTORY IO, SCADA, Node-RED, Grafana, and HiveMQ to enhance your simulation skills. As you progress, you’ll learn to configure Modbus registers, manage analog values, and implement advanced simulations such as temperature control, level simulators, and vision systems. The course involves real-world scenarios, helping you apply your knowledge in SCADA and Node-RED environments for a full understanding of PLC integration. Ideal for engineers, technicians, and students, this course offers hands-on experience in PLC automation and simulation. By the end, you’ll be able to create custom simulations, interface PLCs with industrial systems, and visualize data across platforms like SCADA, Node-RED, Grafana, and HiveMQ. You'll also gain a solid foundation in designing and implementing real-time control systems.
John Wiley & Sons
Communication Skills: How to Succeed with People
Based on the best-selling book, How to Succeed with People, by Paul McGee. Success in any professional environment depends on how effectively you work with people. This course explores the psychology, attitudes, and behaviors that shape human interaction, helping you understand why people act the way they do and how those dynamics impact relationships and results at work. Through practical insights and reflective frameworks, the course equips you to improve communication, manage expectations, handle conflict, and influence change more effectively. You’ll learn how to respond rather than react, set healthy boundaries, and build stronger working relationships that lead to better outcomes. What sets this course apart is its honest, experience-driven approach to people skills. It blends behavioral theory with real-world scenarios, offering actionable guidance you can apply immediately in professional and personal interactions. This course is ideal for professionals, managers, team leaders, and anyone who works closely with others and wants to improve interpersonal effectiveness. No formal prerequisites are required, but an openness to self-reflection and change will help you get the most value from the course. From" How to Succeed with People" This edition first published 2024 by John Wiley & Sons, Ltd. Copyright 2024 Paul McGee, Used by arrangement with John Wiley & Sons, Inc.
Coursera
AWS Data Automation: Glue & Lambda Integration
Data automation is essential for modern cloud computing, and AWS Glue simplifies ETL processes, data cataloging, and integration with serverless services like AWS Lambda. You will gain hands-on experience in configuring AWS Glue, optimizing ETL pipelines, and triggering workflows with Lambda, enabling learners to create efficient and automated data solutions. This course introduces AWS Glue and its powerful ETL capabilities, including how to crawl data sources, build a centralized data catalog, and transform raw data into structured formats for analytics. Using a practical example with customer and order datasets, you'll learn how to create and schedule ETL jobs that clean, standardize, and organize this data for downstream reporting. The course then shifts to AWS Lambda, where you’ll build serverless functions, configure event-based triggers (like when a new order file is uploaded to an S3 bucket), and integrate them with Glue to automate data workflows in real time. Through hands-on exercises and projects—including building an ETL job and setting up an incremental data loading pipeline into Amazon Redshift—you’ll gain the skills to design, deploy, and manage robust, cloud-native data pipelines using AWS services. This course is designed for data analysts and data engineers who are responsible for creating, managing, and optimizing data pipelines. It also serves IT professionals aiming to enhance their skills in automated data processing using modern cloud tools. Additionally, AWS newcomers interested in building foundational knowledge of cloud-based data workflows will find this course an accessible and practical starting point. Whether you work in a startup or an enterprise setting, the skills taught here are applicable across industries that rely on cloud-based data automation. To succeed in this course, learners should have a basic understanding of data-related concepts such as databases, structured data, and ETL (Extract, Transform, Load) processes. Familiarity with general cloud computing terminology and principles is also expected. However, no prior experience with AWS Glue, Lambda, or programming is required, making this course beginner-friendly and approachable for a wide range of learners. Anyone with a foundational understanding of data systems will be well-equipped to follow along with the hands-on exercises and examples. By the end of the course, learners will be able to describe the core features and architecture of AWS Glue as it relates to data integration. They will analyze how Glue enhances ETL operations and centralizes data cataloging. Learners will also gain the ability to design simple workflows that integrate AWS Glue with Lambda functions and evaluate best practices for implementing these tools effectively and responsibly within a cloud data ecosystem. These skills will empower learners to automate data workflows, reduce manual processing, and build scalable solutions using AWS services.
University of California San Diego
Mastering the Software Engineering Interview
You’ve hit a major milestone as a computer scientist and are becoming a capable programmer. You now know how to solve problems, write algorithms, and analyze solutions; and you have a wealth of tools (like data structures) at your disposal. You may now be ready for an internship or (possibly) an entry-level software engineering job. But can you land the internship/job? It depends in part on how well you can solve new technical problems and communicate during interviews. How can you get better at this? Practice! With the support of Google’s recruiting and engineering teams we’ve provided tips, examples, and practice opportunities in this course that may help you with a number of tech companies. We’ll assist you to organize into teams to practice. Lastly, we’ll give you basic job search advice, and tips for succeeding once you’re on the job.
Google Cloud
Deploy and Scale AI Models with Cloud Run
AI inference is the process of using a trained machine learning model to make predictions on new, unseen data by applying learned patterns. This course is designed for developers, data scientists, and ML engineers interested in quickly deploying AI inference services on Cloud Run. It is useful for those familiar with cloud-based serverless application deployment solutions, but who may not have experience with running AI inference using Google Cloud serverless products. The course includes examples that deploys a model for AI inference with GPUs and integrates gen AI apps with data storage services.
Coursera
Effective Leadership: Master Management Styles
Got a boss who clocks your every move? Or maybe you have one who’s cool, calm, and collected, leaving you to your own devices. Just as individuals have unique personalities, they also bring their distinct management styles to their roles, influencing how they inspire and motivate their teams. Whether learned or instinctual, these styles play a crucial role in guiding and leading others effectively. This short course was created to help professionals in leadership roles accomplish team success by flexing their management style to fit various situations and its demands. By completing this course, you'll be able to enhance your leadership capabilities, improve team performance, and create a more positive work environment. You'll gain practical skills that you can apply immediately, such as identifying your default management style, evaluating the outcomes of different styles, and flexibly adapting your approach to meet the needs of your team and organization. More specifically, you will learn how to examine the foundations of various management styles and their implications for leadership effectiveness, discover how to assess your own default management style and its impact on your team, and explore strategies for choosing and adapting management styles to different situations and team dynamics. This course is unique because it provides actionable insights and practical tools that you can use to improve your leadership skills immediately. In order to be successful in this course, you will need some prior experience in a leadership or supervisory role and a willingness to engage in self-reflection and skill development activities.
Google Cloud
Gemini for Data Scientists and Analysts - Español
En este curso, descubrirás cómo Gemini, un colaborador potenciado por IA generativa de Google Cloud, ayuda a analizar los datos de los clientes y predecir las ventas de productos. También aprenderás a identificar, categorizar y desarrollar los clientes nuevos usando datos de clientes en BigQuery. A través de labs prácticos, comprobarás cómo Gemini mejora los flujos de trabajo de análisis de datos y aprendizaje automático. Recuerda que Duet AI ahora se llama Gemini, nuestro modelo de nueva generación.
Codio
Visualizing Data & Communicating Results in Python
Code and run your first Python program in minutes without installing anything! This course is designed for learners with limited coding experience, providing a foundation for presenting data using visualization tools in Jupyter Notebook. This course helps learners describe and make inferences from data, and better communicate and present data. The modules in this course will cover a wide range of visualizations, which allow you to illustrate and compare the composition of the dataset, determine its distribution, and visualize complex data, such as geographically based data. It is recommended that you complete Data Analysis in Python before taking this course. To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further, building a deeper understanding by doing. You’ll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling code blocks) to small, approachable coding exercises that take minutes instead of hours.
Microsoft
Blazor for Front-End Development
This course focuses on UI/UX design principles and their application in Blazor Pages. You'll learn to create responsive, user-centered designs, leveraging Microsoft Copilot to enhance CSS, generate design suggestions, and improve workflows. By the end of this program, you will be able to… Define the basic concepts and features of Blazor, Blazor components, data binding, and rendering models. Describe the steps to create and configure Blazor projects, parent-child component communication, routing and navigation techniques, and advanced component techniques. Explain how to run and debug Blazor applications, lifecycle methods, event handling, state management, and hybrid rendering approaches. Develop a Blazor project with Microsoft Copilot, including writing, debugging, and optimizing Blazor code.
SkillUp
Working as a Scrum Master
With the evolving trends, it’s become essential for project management in all development spheres to take on a new avatar. Organizations are looking forward to more efficient ways to manage their development projects. Agile and Scrum methodologies have to some extent met the changing needs of the management environment. Whether you are new to Agile methodologies or seek to enhance your project management skills, this course will equip you with the knowledge and tools needed to excel as a Scrum Master. The course will provide a deeper insight into the essential aspects of being a Scrum Master. You will be able to compare Scrum with traditional project management methods and will gain a better understanding of why Scrum is a game-changer in today's dynamic business landscape. You will get various opportunities through real life scenarios to apply the skills and attributes of a Scrum Master. Through hands-on practice and real-life scenarios, you'll develop your abilities to navigate challenges, foster collaboration, and drive successful project outcomes. Although this course is meant for learners who are already project managers, it is not mandatory for them to have project management experience. With engaging video content, expert viewpoints, and interactive exercises, you'll find yourself immersed in the world of Scrum. The final assessment is designed to enable the learner to develop an understanding of the criteria for certification as an Advanced Certified Scrum Master (A-CSM). Gain the confidence and experience you need to ace those tests and prove your expertise as a Scrum Master.
Edureka
PySpark in Action: Hands-On Data Processing
PySpark in Action: Hands-on Data Processing is a practical course that equips you to work confidently with large-scale data using PySpark and distributed data processing frameworks. You’ll discover the fundamentals of Big Data, Apache Hadoop, and Apache Spark, then build on this knowledge through real-world exercises where you’ll process and analyze massive datasets. During the course, you’ll gain hands-on experience with: - Foundational concepts of Big Data and components of the Hadoop ecosystem such as HDFS, enabling you to understand modern data storage and processing. - Spark architecture and critical design principles for scalable, fault-tolerant data workflows. - RDD transformations and actions, helping you handle large-scale datasets using PySpark’s distributed processing engine. - Advanced DataFrame techniques: manage complex data types, perform aggregations, and solve business data challenges efficiently. - PySpark SQL for applying advanced queries, optimizing processing workflows, and enabling rapid, reliable analysis at scale. This course is ideal for those new to data engineering or distributed computing who want a hands-on introduction to PySpark for large-scale data tasks. If you have basic Python skills but no prior experience in data engineering, you’ll find accessible explanations and step-by-step projects throughout. By course completion, you’ll be prepared to use PySpark in real-world projects, build and monitor data pipelines, automate processing, clean and integrate diverse datasets, and confidently tackle core challenges in distributed data analytics.
Scrimba
Learn UI Design
This massive UI design course teaches you to build beautiful and well-functioning user interfaces using HTML and CSS. It's filled with interactive tutorials to ensure that the knowledge sticks with you. Created by Gary Simon, the most popular online instructor on this subject. While we can all clearly recognize what a great user interface looks like, it's actually really hard to build one! That's exactly what this course is all about. In it, Gary Simon will turn you into a UI design master. He'll teach you UI design from the ground up, and give you the skills you need to make sure that your next project both looks good and feels good to use. It starts from the very basics, so you don't need any UI design experience to join, just basic HTML and CSS skills.
EDUCBA
Apply Ansible to Automate End-to-End Software Deployment
By the end of this course, learners will be able to analyze deployment requirements, configure cloud infrastructure, develop Ansible playbooks, and execute fully automated, single-command software deployments. Learners will apply configuration management concepts to deploy application and web servers consistently, reuse automation through roles, and scale deployments using industry-standard best practices. This course provides hands-on, project-based learning focused on automating the complete software deployment lifecycle using Ansible. Starting with a real-world case study, learners progressively build an automation pipeline by launching cloud servers, installing and configuring Ansible, and converting deployment requirements into structured playbooks. As the course advances, learners enhance their automation with variables, conditionals, loops, reusable roles, and community-supported Ansible Galaxy components. What makes this course unique is its practical, end-to-end project approach that mirrors real production environments. Instead of isolated examples, learners implement a complete deployment solution culminating in a single-click automated delivery. This course is ideal for DevOps engineers, system administrators, and IT professionals seeking to improve deployment reliability, reduce manual effort, and adopt scalable automation practices using Ansible.
Microsoft
Azure Cybersecurity Solutions And Microsoft Defender
In this course, you’ll learn about the types of cloud security policies that protect against DDoS Attacks, Firewall Breaches, and Unauthorized Access. Explore tools like MS Defender for cloud, security information and event management (SICM) and security orchestration, automation, and response (SOAR). You’ll gain an understanding of security features available in Azure and best practices for protecting Azure resources, as well as Azure security standards and compliance. You’ll also learn how to protect your organization’s assets from various types of threats, including malware, phishing, and identity-based attacks.
Coursera
Get Started with Facebook Messenger for a Business
By the end of this project, you will be able to set up a Facebook messenger account for a small business. You will learn how to create a business page, how to enable messaging on your page, how to create the perfect personalized message for your page, and how to add a Facebook messenger box to your website. This is a great tool to use if you want to take part in the world's largest social platform, Facebook.
Packt
Intermediate Projects and Advanced UiPath Concepts
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 potential of UiPath with this intermediate-level course, diving deep into the Robotic Enterprise Framework (REFramework) and advanced RPA concepts. Through hands-on projects, you will learn how to automate complex business scenarios efficiently, including dynamic data entry, web scraping, and HR processes. You'll leave this course with the skills to implement real-world automation solutions that are reliable, adaptable, and scalable. The course begins with exploring the REFramework's components, architecture, and states, preparing you to tackle automation projects effectively. You will gain expertise in initializing and managing transaction data, processing automation tasks, and handling end-process scenarios. Following this, you'll apply your skills to a series of projects that challenge you to build complete automation workflows, focusing on RPA challenges, recipe scraping, and HR employee admission processes. These projects provide practical, real-world scenarios to solidify your learning. By the end of this course, you'll have mastered advanced UiPath techniques such as debugging workflows, integrating user inputs, handling exceptions, and managing data within dynamic automation processes. Through extensive hands-on experience, you'll develop an intuitive understanding of automating complex workflows and fine-tuning them for accuracy, efficiency, and scalability. This course is ideal for anyone with prior experience in UiPath and RPA automation, looking to take their skills to the next level. Whether you're in business process automation, IT, or software development, this course will equip you with the tools to design and implement advanced automation solutions.