Interpretable machine learning applications: Part 5
You will be able to use the Aequitas Tool as a tool to measure and detect bias in the outcome of a machine learning prediction model. As a use case, we will be working with the dataset about recidivism, i.e., the likelihood for a former imprisoned person to commit another offence within the first two years, since release from prison. The guided project will be making use of the COMPAS dataset, which already includes predicted as well as actual outcomes. Given also that this technique is largely based on statistical descriptors for measuring bias and fairness, it is very independent from specific Machine Learning (ML) prediction models. In this sense, the project will boost your career not only as a Data Scientists or ML developer, but also as a policy and decision maker.
Al final de este proyecto serás capaz de crear un Currículum Vitae (CV) y una Carta de Presentación para conseguir un trabajo. Utilizarás la versión gratuita en línea de Microsoft Word para producir un CV y una Carta de Presentación. Este proyecto guiado se presenta en un formato paso a paso y será fácil de seguir. Te enseñará que información incluir en los dos documentos y cómo formatear la información para mostrar mejor tus habilidades y experiencia.
In Course 3 of this Specialization you will first of all learn about Social Impact Assessment. Hence you will be able to develop a method to evaluate the social mission that you achieve while implementing your business plan. Next you will outline an appropriate communication strategy for your social enterprise and will demonstrate how to market your products and services to beneficiaries and other customers. Here you will employ an adaptable communication strategy as you move from early adopters to a broader market share.
Furthermore you will determine growth strategies and how you can scale or replicate your business plan internationally in order to reach a larger number of beneficiaries. In particular you will discuss organic growth, social franchising, and an open source approach. Finally, you will evaluate exit strategies. Thus you will review options social enterprises have when they need to finance their growth but the original funders can not or do not want to finance the expansion.
Course 3 will be completed by your Capstone project, which will ask you to submit the final business plan of your social venture.
Note: It is highly recommended to have completed Course 1 & 2 of the Social Entrepreneurship Specialization before starting this Course!
Из этого курса вы получите всю необходимую информацию о компьютерных сетях. Мы познакомимся с принципами работы современных сетевых технологий и протоколов, изучим облачные сервисы и научимся устранять неполадки в сетях. Ещё вы узнаете, как использовать эти знания на собеседовании, а также при диагностике сбоев в реальном времени.
К концу этого курса вы:
● Сможете описать компьютерные сети в контексте пятиуровневой модели.
● Будете знать все стандартные протоколы, отвечающие за TCP/IP-взаимодействия.
● Овладеете эффективными инструментами и технологиями для устранения сетевых неполадок.
● Познакомитесь с сетевыми службами, которые обеспечивают работу компьютерных сетей, например DNS и DHCP.
● Изучите концепцию "всё как услуга", а также получите понятие об облачных вычислениях и облачном хранилище.
Evaluate LLMs: Test and Prove Significance is an intermediate course for ML engineers, AI practitioners, and data scientists tasked with proving the value of model updates. When making high-stakes deployment decisions, a simple accuracy score is not enough. This course equips you with the statistical methods to rigorously validate LLM performance improvements. You will learn to quantify uncertainty by calculating and interpreting confidence intervals, and to prove whether changes are meaningful by conducting formal hypothesis tests like the Chi-Square test. Through hands-on labs using Python libraries like SciPy and Matplotlib, you will analyze model outputs, test for statistical significance, and create compelling visualizations with error bars that clearly communicate your findings to stakeholders. By the end of this course, you will be able to move beyond subjective "it seems better" evaluations to confidently state, "we can prove it's better," ensuring every deployment decision is backed by sound statistical evidence.
Architecting with Google Kubernetes Engine: Workloads en Español
En "Architecting with Google Kubernetes Engine: Workloads", te embarcarás en un recorrido completo sobre el desarrollo de aplicaciones nativas de la nube. Durante la experiencia de aprendizaje, explorarás las operaciones de Kubernetes, la administración de implementaciones, las herramientas de redes de GKE y el almacenamiento persistente.
Este es el primer curso de la serie Architecting with Google Kubernetes Engine. Después de completarlo, inscríbete en el curso Architecting with Google Kubernetes Engine: Production.
Linux Foundation Certified System Administrator (LFCS): Unit 9
This course is crafted for IT professionals and learners who are ready to test their knowledge of Linux in a real-world scenario. The final module offers a sample exam that mirrors the format and challenges of a real certification exam, allowing you to assess your understanding and readiness. You'll tackle a series of tasks that reflect the skills and knowledge gained throughout the course, with detailed solutions provided to guide your review and improvement. This practical approach ensures that you not only reinforce your learning but also gain the confidence needed to excel in your certification pursuits.
Whether you're thinking about a career in sales, just getting started at your new sales job, or managing entry level sales people, this course will provide you a valuable perspective on your sales career. You'll start out the course with an overview of what it takes to be successful in sales. It might surprise you. You'll learn why most people have it all wrong about sales!
The following five lessons will cover the inbound sales methodology, a framework used by thousands of sales professionals to get started in sales. You'll learn the difference between active and passive buyers, and how to build relationships and earn their attention. You'll learn why understanding the buyer's context is imperative providing them solutions.
In this course, you'll gain the fundamental knowledge required to be successful in sales. By investing your time in sales training, you're already ahead of the curve.
Code and run your first C++ program about data structures and algorithms in minutes without installing anything!
This course is designed for learners familiar with C++ basics and object-oriented programming. It provides a solid foundation of not just C++, but core data structures and algorithms topics that can be transferred to other languages. The modules in this course cover linear data structures like lists (singly linked, doubly linked, circular), stacks, queues, and introduces the first non-linear data structure trees.
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.
Successful organizations turn strategy into action through clear priorities and disciplined execution. In this course, learners build practical skills to align daily work with organizational strategy and deliver projects effectively from start to finish. Learners explore core strategy frameworks such as Porter’s Five Forces and SWOT analysis to assess competitive environments and internal capabilities. The course also covers priority and time management techniques to optimize focus, manage workload, and reduce distractions. Learners will use tools such as goal-setting frameworks (SMART goals), project planning templates, risk assessment methods, and task management systems to guide execution. By the end of the course, learners will be able to translate strategy into actionable plans, prioritize high-impact work, and manage projects across initiation, planning, execution, and closing stages. This course is ideal for professionals seeking to strengthen strategic thinking, project management, and execution skills in dynamic business environments.
AI Content with Make.com: Automate Instagram Reel Scripts
In this 2-hour long project-based course, you will learn how to create an automated system for generating Instagram Reel scripts using Make.com and AI tools like ChatGPT. By the end of this course, you will have mastered the basics of setting up RSS feeds, processing content, and integrating AI for content enhancement.
To achieve this, you will develop an automated workflow that retrieves content from RSS feeds, processes it through AI analysis, and stores the generated scripts in Airtable and Google Docs. This project will walk you through practical steps to streamline your content creation process, making it faster and more efficient.
This project is ideal for social media managers, digital marketers, and content creators who want to leverage automation to boost productivity and creativity. No prior experience with Make.com or AI tools is required, making this course accessible to anyone interested in enhancing their social media content strategy.
Develop the skills needed to manage project quality and risk effectively throughout the project lifecycle. This course provides a practical, integrated approach to Quality Management and Risk Management, enabling learners to improve project outcomes, reduce uncertainty, and support successful project delivery.
The course begins with the foundations of quality management, introducing key concepts such as quality versus grade, quality ownership, quality planning, and the establishment of standards and performance expectations. Learners will understand how quality frameworks contribute to project success and stakeholder satisfaction.
As the course progresses, learners explore quality assurance and continuous improvement practices. Practical quality tools and techniques are introduced to help evaluate processes, improve performance, and maintain compliance with project requirements. The course also covers quality control processes, including monitoring deliverables, analyzing performance data, identifying defects, and ensuring adherence to established standards.
Building on quality management concepts, the course transitions into project risk management. Learners will explore risk planning, risk identification, qualitative and quantitative risk analysis, risk prioritization, and response planning. Practical techniques for managing threats and opportunities are presented to help learners make informed project decisions.
The course concludes with risk monitoring and control processes, enabling learners to track risks, evaluate response effectiveness, and continuously improve project resilience.
What makes this course unique is its integrated approach to quality and risk management. By combining quality planning, assurance, control, risk analysis, and response strategies into a single learning journey, learners gain a comprehensive understanding of how to improve project performance while proactively managing uncertainty in real-world project environments.
