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Discover world-class academic programs curated for the modern intellectual. Search through 19877+ degrees and professional certificates.

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Developing a Google SRE Culture Google Cloud

Developing a Google SRE Culture

In many IT organizations, incentives are not aligned between developers, who strive for agility, and operators, who focus on stability. Site reliability engineering, or SRE, is how Google aligns incentives between development and operations and does mission-critical production support. Adoption of SRE cultural and technical practices can help improve collaboration between the business and IT. This course introduces key practices of Google SRE and the important role IT and business leaders play in the success of SRE organizational adoption.

schedule 5 Months
$92 / TOTAL
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Architect and Optimize GenAI Data Systems Coursera

Architect and Optimize GenAI Data Systems

The explosive growth of generative AI has created unprecedented demands on enterprise data infrastructure. Organizations struggle with complex data quality issues, escalating storage costs, and fragmented processing platforms that can't keep pace with AI workloads. This Short Course was created to help machine learning and AI professionals architect robust, cost-effective data systems that power reliable GenAI operations. By completing this course, you'll be able to trace data lineage to pinpoint quality issues affecting AI model performance, design storage tiers that balance access speed with budget constraints, and integrate streaming and batch platforms into unified architectures that scale with AI demands. By the end of this course, you will be able to: • Analyze lineage metadata to systematically diagnose root causes of data quality problems • Evaluate storage tiering strategies that optimize cost, latency, and throughput trade-offs • Create technical blueprints integrating Kafka, Spark, and Flink for scalable data processing This course is unique because it addresses the specific data architecture challenges that emerge when running AI systems at enterprise scale, combining cost optimization with performance requirements that traditional data engineering courses don't cover.To be successful in this project, you should have a background in data engineering, cloud infrastructure, and basic understanding of streaming vs batch processing patterns.

schedule 4 Months
$211 / TOTAL
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Redux, State Management, and Advanced React Concepts Packt

Redux, State Management, and Advanced React 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. Master advanced state management in React using Redux and React Query. Learn how to integrate Redux with React, manage state efficiently with Redux Toolkit, and handle asynchronous data fetching with React Query. This course covers Redux slices, mutations, and caching, along with real-world applications like TravelOPedia, ProjectOPedia, and a restaurant website to reinforce your skills. You’ll dive into advanced topics like API requests, routing, and creating dynamic, user-friendly features. By the end, you’ll be equipped to manage state in large-scale React apps and handle complex features such as user authentication, payment systems, and API integration. Designed for intermediate developers familiar with React, this course helps you enhance your state management skills and build scalable applications. By the end, you’ll be able to manage state with Redux, perform data fetching with React Query, and implement dynamic features like authentication and payments.

schedule 8 Months
$375 / TOTAL
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Foundations of Business Intelligence Google

Foundations of Business Intelligence

This is the first of four courses in the Google Business Intelligence Certificate, which will help develop the skills needed to apply for entry-level roles as a business intelligence (BI) professional. People who work in BI help organizations access the right data, use data to help businesses grow and improve, and put insights into action. In this course, you’ll discover the role of BI professionals within an organization and explore BI tools you can use on the job. 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: -Make key distinctions between business intelligence (BI) and data analysis -Explore how data is used in business processes and decision-making -Describe ways that BI professionals impact their organizations -Identify the uses and benefits of BI tools, including data models, pipelines, data visualizations, and dashboards -Acquire, manipulate, and integrate data using key BI concepts -Select and define metrics that are relevant to project goals and stakeholder questions -Develop and execute a BI project by working with stakeholders to determine project requirements, execute tasks, and deliver insights that guide decision-making

schedule 6 Months
$365 / TOTAL
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Apply Hypothesis Testing with Minitab for Data Analysis EDUCBA

Apply Hypothesis Testing with Minitab for Data Analysis

Learners will analyze real-world datasets using Minitab, apply correlation and regression techniques, formulate and test statistical hypotheses, and interpret p-values and confidence intervals to make data-driven decisions. By the end of this course, learners will confidently evaluate statistical evidence and translate analytical results into meaningful conclusions. This course offers a hands-on, practical approach to hypothesis testing using Minitab, designed for learners who want to move beyond theory and apply statistics in real scenarios. Through a guided project, learners explore data relationships, perform exploratory analysis, and progressively build skills in hypothesis testing—from defining null and alternative hypotheses to executing tests and interpreting results. Each concept is reinforced through step-by-step demonstrations, practical examples, and applied decision-making exercises. What makes this course unique is its project-driven structure, software-focused learning, and clear linkage between statistical concepts and business interpretation. Rather than focusing on formulas alone, learners gain practical experience using industry-relevant tools and workflows. This course is ideal for students, quality professionals, analysts, and engineers seeking to apply hypothesis testing confidently using Minitab in real-world data analysis tasks.

schedule 8 Months
$89 / TOTAL
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Designing Hybrid and Multicloud Architectures IBM

Designing Hybrid and Multicloud Architectures

Demand for cloud architecture skills is projected to grow significantly over the next few years. This course, designed by industry experts, gives you the skills to design hybrid and multicloud solutions and systems that businesses are looking for. As you learn, you’ll architect, evaluate, and justify decisions across real-world scenarios. You’ll implement core concepts including cloud service models, deployment patterns, and vendor lock-in risk. You’ll design architecture patterns for availability and redundancy, configure workload portability using containers, and develop global routing and failover strategies. You’ll also apply data placement principles, define RTO and RPO targets, and govern automated pipelines using Infrastructure as Code and policy controls. You’ll experience hands-on labs and guided design activities. Plus, you’ll complete a multicloud architecture design project that you can add to your portfolio and talk about in interviews. Enroll now to add in-demand skills in multicloud architecture to your resume and take your next step toward a future-ready career in cloud solutions design.

schedule 6 Months
$289 / TOTAL
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Innovation Management: Winning in the Age of Disruption University of Leeds

Innovation Management: Winning in the Age of Disruption

Not all organisations innovate, and those that do often find it difficult to initiate, develop, and deliver innovation consistently. Innovation management is crucial in leading valuable change and profits for companies of all sizes. This course will give you the skills for successful strategic innovation by exploring how the world’s most successful businesses use systematic processes to harness its power. You will learn about disruptive innovation and how businesses need to have an innovation strategy in place to stay ahead of the competition. You’ll look into how to embed a culture that fosters innovation in order to find opportunities and protect your core business before you move on to explore strategies to manage disruption. Collaborating with external partners may sound daunting but it can allow you to solve a multitude of innovation problems and reach a common goal much quicker. This course will guide you through the types of open innovation that can be utilised at various stages of an innovative strategy to create different dynamics. Design thinking (DT) allows teams to structure and manage ideation, development, and, ultimately, innovation. You’ll learn about the key elements and principles behind the design thinking process. You’ll also learn insights, hints and tips for practically applying design thinking from one of the world’s leading industry practitioners.

schedule 3 Months
$143 / TOTAL
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Singing Popular Music Berklee

Singing Popular Music

You've been studying the greats, working on improving your vocal skills, and building vocal technique. Now it's time to take the next step in your singing career to shine as a vocalist. Singing Popular Music provides you with the essential skills to define your own unique vocal style and sing healthfully. The course begins with devices to support and alter your sound including vowel quality, tone production, and breathing techniques. From there, you will learn how to use techniques like mix voice and belting in contemporary singing styles. Then you'll take a cover song and make it your own. Upon successful completion of this course, you will be able to confidently and healthfully sing in your desired vocal style as well as understand how you can alter your singing to match other contemporary styles.

schedule 8 Months
$304 / TOTAL
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Digital Record Keeping & Compliance Coursera

Digital Record Keeping & Compliance

Master the essential compliance skills that protect your organization from regulatory penalties and audit failures. This course transforms accounting assistants into confident guardians of digital records who understand exactly what to keep, for how long, and how to store it securely. By completing this course, you'll eliminate the guesswork around document retention, establish bulletproof filing systems that pass any audit, and create organized digital repositories that make retrieval effortless. These foundational skills are your insurance policy against costly compliance violations and the foundation for efficient accounting operations. By the end of this course, you will be able to: - Remember regulatory retention periods for financial documents - Apply systematic digital-archiving conventions to store source documents securely This course is unique because it combines regulatory knowledge with practical digital organization skills, giving you both the compliance foundation and the technical competence to implement professional-grade record keeping systems.To be successful in this course, you should have basic computer skills and familiarity with file management concepts.

schedule 3 Months
$182 / TOTAL
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Introduction to Tourism and Hospitality Universidad de Palermo

Introduction to Tourism and Hospitality

Tourism is one of the most motivating activities for any person. It fills us with enthusiasm, with the desire to get to know new places and establish new bonds. The trip begins long before we start it: when we dream about it, when we imagine ourselves visiting places, tasting flavors, getting to know new cultures. In it we enjoy, investigate, discover and above all, we are amazed with experiences to be revealed. “Once a year go somewhere you've never been before” (Dalai Lama), is one of the phrases that surely awakens in us the desire to take a trip soon to unveil new directions. In this online course we will analyze the main characteristics of this phenomenon. The concepts of tourism and hospitality will allow us to address the relevance they have on the economy, culture and environment worldwide. You will learn the importance of incorporating good practices in tourism and hospitality; respecting cultural diversity, the environment, tangible and intangible heritage, and thus generate a conscious and sustainable tourism. Course objectives: - Understand the complexity of the tourism phenomenon. - Recognize the importance of the interrelationship between the tourist and the natural, socioeconomic and cultural environment. - Understand the characteristics of transportation, hotel, and gastronomic services companies as an integral part of the tourism system, in digital environments. - To learn the specific technical language of the sector. - Identify techniques, strategies and frameworks for action to achieve sustainable tourism development.

schedule 6 Months
$74 / TOTAL
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Python Data Science: pandas, Matplotlib, and Seaborn Logical Operations

Python Data Science: pandas, Matplotlib, and Seaborn

To round out your exploration of data science in Python, in this course, you'll work with the pandas DataFrame—one of the most prominent data structures in data science. You'll create DataFrames, load and save data, analyze data, and slice and filter data in DataFrames. Then, you'll manipulate, modify, and plot DataFrame data. Lastly, you'll work with specialized plotting libraries Matplotlib and Seaborn to create common types of plots and format those plots so they are visually appealing and optimal for analysis. This is the third and final 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 and data science libraries. The course setup instructions provided in the first course go into more detail about the hardware and software requirements.

schedule 8 Months
$79 / TOTAL
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Data Preparation and Analysis Illinois Tech

Data Preparation and Analysis

This course introduces the necessary concepts and common techniques for analyzing data. The primary emphasis is on the process of data analysis, including data preparation, descriptive analytics, model training, and result interpretation. The process starts with removing distractions and anomalies, followed by discovering insights, formulating propositions, validating evidence, and finally building professional-grade solutions. Following the process properly, regularly, and transparently brings credibility and increases the impact of the results. This course will cover topics including Exploratory Data Analysis, Feature Screening, Segmentation, Association Rules, Nearest Neighbors, Clustering, Decision Tree, Linear Regression, Logistic Regression, and Performance Evaluation. Besides, this course will review statistical theory, matrix algebra, and computational techniques as necessary. This course prepares students ready for and capable of the data preparation and analysis process. Besides developing Python codes for carrying out the process, students will learn to tune the software tools for the most efficient implementation and optimal performance. At the end of this course, students will have built their inventory of data analysis codes and their confidence in advocating their propositions to the business stakeholders. Required Textbook: This course does not mandate any textbooks because the lecture notes are self-contained. Optional Materials: A Practitioner's Guide to Machine Learning (abbreviated PGML for Reading) Software Requirements: Python version 3.11 or above with the latest compatible versions of NumPy, SciPy, Pandas, Scikit-learn, and Statsmodels libraries. To succeed in this course, learners should possess a basic knowledge of linear algebra and statistics, basic set theory and probability theory, and have basic Python and SQL skills. A few courses that can help equip you with the database knowledge needed for this course are: Introduction to Relational Databases, Relational Database Design, and Relational Database Implementation and Applications.

schedule 7 Months
$180 / TOTAL
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Workflow Automation using Generative AI Simplilearn

Workflow Automation using Generative AI

This Generative AI Workflow Automation course offers a comprehensive path to mastering AI-powered automation using Zapier and ChatGPT. Start with the fundamentals like Zapier basics, key terms, triggers, and automation types. Move into hands-on demos that automate blogs, emails, business plans, and social media posts using OpenAI. Learn to build multistep Zaps with conditional logic and monitor workflows in real-time. Finally, optimize for cost and performance using advanced techniques and real-world use cases. To be successful in this course, you should have a basic understanding of workflow tools, web applications, and familiarity with how APIs work or a willingness to explore them. By the end of this course, you will be able to: - Understand Zapier fundamentals and OpenAI API configurations - Build intelligent workflows that automate business and marketing tasks - Use multistep Zaps, filters, and logic for smarter automation - Monitor and optimize workflows for efficiency and scalability Ideal for automation specialists, digital marketers, AI workflow engineers, operations analysts, and consultants aiming to streamline processes with scalable AI-driven solutions.

schedule 8 Months
$127 / TOTAL
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Security Best Practices in Google Cloud - Español Google Cloud

Security Best Practices in Google Cloud - Español

Este curso de capacitación de autoaprendizaje brinda a los participantes conocimientos generales de los controles y las técnicas de seguridad en Google Cloud. Mediante conferencias, demostraciones y labs prácticos grabados, los participantes exploran y, luego, implementan los componentes de una solución segura de Google Cloud, incluidas tecnologías de control de acceso de Cloud Storage, llaves de seguridad, Claves de encriptación proporcionadas por el cliente, controles de acceso a la API, alcance, VMs protegidas, encriptación y URLs firmadas. También se aborda la protección de entornos de Kubernetes.

schedule 7 Months
$323 / TOTAL
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Creating Engaging Content for Facebook Coursera

Creating Engaging Content for Facebook

Develop the skills to create diverse and engaging Facebook content that builds active communities and drives meaningful interactions. This course covers everything from crafting compelling written posts and visual content to managing groups, hosting live broadcasts, and leveraging Facebook's powerful engagement tools. You'll learn how Facebook's algorithm prioritizes content and how to optimize your posts for maximum visibility and impact. Through practical lessons, you'll explore effective storytelling techniques, visual design principles, and video production strategies specifically tailored for Facebook's ecosystem. By the end of this course, you will be able to: - Create engaging written posts, visual content, and videos optimized for Facebook's algorithm - Build and manage active Facebook communities through Groups and interactive features - Plan and execute successful Facebook Live broadcasts that foster real-time engagement - Develop efficient content scheduling workflows using Meta Business Suite - Analyze content performance using Facebook Insights to refine your approach - Implement platform-specific SEO and hashtag strategies to increase content discoverability Apply your skills in a comprehensive project where you'll develop a Facebook content and engagement campaign for a fictional brand.

schedule 3 Months
$139 / TOTAL
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Object Oriented Programming in Java IBM

Object Oriented Programming in Java

Java developers with object-oriented programming skills in the United States earn an average annual salary of approximately USD 91,024. (Indeed.com) In this course, you will gain hands-on experience with object-oriented programming (OOP) concepts including encapsulation, abstraction, inheritance, and polymorphism. You will learn how to define and implement classes and objects. You'll work with advanced OOP techniques such as interfaces, method overloading, and the Java collections framework. You'll gain the skills needed to manage data using lists, sets, queues, and maps while handling file input/output operations using Java streams. You'll also work with directory management as well as date and time operations. For your final project, you'll build a mood-tracking application that you can share with prospective employers. This course features numerous guided, hands-on, beginner-friendly coding experiences. If you have prior coding experience, take advantage of the non-graded, intermediate-level, real-world coding "challenges" with their real-world coding projects. Gain real-world experience by reviewing the case study requirements and using the coding tips provided to build an employee leave (time-off) system. Get the skills needed to build efficient, scalable, and professional-grade Java applications. Enroll now!

schedule 4 Months
$352 / TOTAL
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