12,053 courses
This course will give you an introduction to bacteria and chronic infections. Leading experts in the field will make you familiar with the fundamental concepts of microbiology and bacteriology such as single cell bacteria, biofilm formation, and acute and chronic infections.
在本新手级课程中，您将了解 Google Cloud 数据分析工作流，以及可用于探索、分析和直观呈现数据并与相关人员共享发现结果的工具。结合案例研究、实操实验、讲座和测验/演示，本课程展示了如何将原始数据集转化为纯净数据，进而转化为实用的可视化图表和信息中心。无论您是已经在从事数据工作并想了解如何通过 Google Cloud 取得成功，还是在寻求职业发展，都可以借助本课程迈出第一步。几乎所有在工作中执行或使用数据分析的人都可以从本课程中受益。
Artificial Intelligence is transforming industries, revolutionizing business operations, and redefining decision-making. To stay ahead in an AI-driven world, professionals must understand its advanced applications. This course takes you beyond the basics, exploring the cutting-edge infrastructure, autonomous systems, robotics, and business strategies that define the future of AI. Delve into the powerful computing technologies behind AI, from CPUs and GPUs to cloud computing and quantum breakthroughs. Understand how AI-driven automation is reshaping industries, from self-driving vehicles and aviation to robotics in manufacturing, healthcare, and beyond. Explore AI’s impact on finance, marketing, supply chain management, and human resources, while tackling ethical considerations, regulatory challenges, and the evolving role of AI in society. Whether you’re a business leader, entrepreneur, or AI enthusiast, this course provides the insights and expertise needed to harness AI’s full potential. Join us and take the next step in mastering AI’s most advanced capabilities.
Les investigations Cloud Assist sont un outil basé sur l'IA pour le dépannage itératif dans les environnements Google Cloud. Il vise à aider les utilisateurs à résoudre les problèmes courants afin de trouver l'origine des dysfonctionnements qui peuvent survenir lorsqu'ils se servent des services Google Cloud. Ce cours permet aux ingénieurs DevOps, SRE et de plateforme d'acquérir les compétences nécessaires pour utiliser efficacement les investigations Cloud Assist afin de résoudre plus facilement les problèmes des services Google Cloud. La formation est axée sur les connaissances fondamentales qui permettent de réduire le temps de dépannage et d'améliorer l'efficacité opérationnelle globale des utilisateurs de Google Cloud.
This course provides a comprehensive introduction to Artificial Intelligence (AI), a transformative force shaping industries and societies worldwide. AI now plays a critical role in diverse domains—from predicting consumer behavior to enabling intelligent automation. The course offers a broad understanding of core AI concepts, emphasizing the strategic overview of its applications rather than deep technical implementation. Learners will explore intelligent agents, uninformed and informed search strategies, logic-based reasoning, game-playing techniques, and knowledge representation. The curriculum also includes natural language processing, machine learning classification, planning algorithms, and expert systems. These topics are presented with real-world context to help students grasp how AI systems make decisions, solve problems, and adapt to complex environments. Designed for learners from business and interdisciplinary backgrounds, the course highlights the practical implications of AI in research and industry. Through case-based learning and conceptual exercises, students will develop the ability to evaluate AI-driven solutions and understand the ethical considerations surrounding their use. By the end of the course, participants will be equipped with the knowledge to critically engage with AI tools and trends, enabling them to contribute meaningfully to innovation and decision-making in a data-driven world.
Advanced ALM Strategies with Azure DevOps and GitHub Integration is an advanced-level course designed for DevOps engineers, release managers, and software delivery leaders who want to implement scalable, secure, and policy-driven Application Lifecycle Management (ALM) practices. Taught by experienced DevOps professionals, this course equips learners with the tools and strategies needed to optimize software delivery pipelines across complex enterprise environments. Through real-world use cases, scenario-based walkthroughs, hands-on activities, and design challenges, learners will explore advanced branching models, secure CI/CD pipelines, automated quality gates, and governance frameworks using GitHub, Azure DevOps, and supporting integrations. You'll learn to build traceable workflows, enforce compliance and testing standards, and evaluate your DevOps maturity using monitoring and feedback loops. By the end of the course, you’ll have designed a personalized ALM blueprint that aligns delivery speed with security, scale, and compliance—ready to apply directly in your organization.
Before you can have an Esport, you must have a video game to play and a game developer to design it. This course is dedicated to discussing game developers and their relationship with their respective Esport. The content will help you recognize the qualities a video game must have to become a successful Esport. We will examine the diagram demonstrating the various competitive structures commonly found in Esports. Esports, just like traditional sports, have their own professional organizations. These organizations strive to become successful businesses that win, make a profit, take care of their professional players, and attract a large audience. We will explore the factors that contribute to an Esports organization’s success, including branding, positioning, structuring the organization and funding sources.
في نهاية المشروع ده هتقدر تصمم model ذكاء صناعي عشان يتوقع المريض هيجي المعاد إلي كان محدد ولا لاباستخدام Python و Jupyter Notebook. خلال المشروع هنمشى مع بعض خطوة بخطوة عشان نقدر نحلل البيانات إلي هتكون معنا من website Kaggle.com الdata دي هتكون عن مرضى في البرازيل.و هنقدر نحدد ازاي الmachine learning engineer بيختار الmachine learning model بتاعو. و ازاي إقدر إستعمل ال-machine learning model بتاعي ده عشان اتوقع هل المريض ده هيجي ولا لا. المشروع ده هيفيد الناس المهتمة بمجال الdata science. و هنخد في الخطوات إلي المفروض الdata scientist يتبعها في المشروع بتاع عشان يقدر يوصل لمطلوب من بدايةً من ال-data preprocessing مروراً بال-data analytics و ال-exploratoray data analysis و في الأخر هنتبء machine learning model على ال-data بتاعتنا. المشروع ده هيكون في مستوى متوسط. طبعن python هي من أشهر لغات البرمجة و jupyter notebook هو application مشهور جداً باستعملو في مشاريع ال-data science و ال-machine learning.
This concise career-development training helps procurement professionals convert course projects and new skills into job-ready artifacts and conversations. Learners will prepare a procurement-focused resume entry and one-page portfolio summary, identify relevant career paths and certifications, and practice a concise interview pitch. The module includes templates, real-world job-mapping examples, recruiter perspectives, and guided AI dialogue to refine messaging for resumes, LinkedIn, and informational interviews.
The course will teach you how to implement an effective Google Ads search campaign. You will learn the concepts of bidding, conversion tracking, attribution modeling, and performance evaluation within Google Ads. You will also explore how to align strategies and settings with campaign objectives for optimal performance. By the end of this course you will be able to: • Select appropriate bid strategies for your campaign • Implement conversion tracking tags into a website • Use the Google Ads Performance Planner tool to improve performance • Create a Google Ads search campaign Regardless of your current experience, this course will teach you how to align and measure your Google advertising efforts to meet campaign objectives.
Explore HTML, CSS, and VueJS basics without installing anything! This course is designed for beginning learners, providing a solid foundation of basic skills in HTML, CSS, and VueJS. Learners will build an understanding of the creative process of designing as well. The modules in this course cover HTML basics, CSS basics, VueJS basics, as well as provide an exploratory designing experience for learners. At the end of the course, learners will fully develop a todo application using HTML, CSS, and VueJS. To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and suggested exploration examples, 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 answer blocks) to small, approachable exercises that take minutes instead of hours.
A rigorous introduction to the theory of Bayesian Statistical Inference and Data Analysis, including prior and posterior distributions, Bayesian estimation and testing, Bayesian computation theories and methods, and implementation of Bayesian computation methods using popular statistical software. Required Textbook: Gelman, A., Carlin, J. B., Stern, H. S., Rubin, D. B. (2013) Bayesian Data Analysis, Third Edition, Chapman & Hall/CRC. Software Requirements: R or Python, Word processing (such as Word, Pages, LaTeX, etc)
