Nossas boas-vindas ao Curso CRM, Dados e o Futuro Centrado no Cliente.
Neste curso, você aprenderá que transformação digital e o crescimento das técnicas de analytics e inteligência artificial mudaram completamente a relação entre empresas e consumidores. Oferecer excelência no atendimento e garantir a satisfação do público são apenas itens fundamentais para uma organização se manter competitiva em um mundo globalizado. O curso aborda a estratégia centrada no consumidor e como as tecnologias estão ajudando nessa transformação.
Ao final deste curso, você será capaz de compreender a importância da análise de e estruturação dos dados para uma gestão efetiva do cliente.
Este curso é composto por quatro módulos, disponibilizados em semanas de aprendizagem. Cada módulo é composto por vídeos, leituras e testes de verificação de aprendizagem. Ao final de cada módulo, temos uma avaliação de verificação dos conhecimentos.
Estamos muito felizes com sua presença neste curso e esperamos que você tire o máximo de proveito dos conceitos aqui apresentados.
Bons estudos!
Lightcap 4: Light in indoor contexts Effects & implications
Light is one of our most valuable resources on this earth. It makes the world visible to us, is the major driver of the 24-hr sleep-wake cycle to which not only humans, but virtually all life on earth (fauna and flora) submits. In fact, there would be no life on earth without light. It is therefore hard to overestimate the impact light has on humans, biologically, psychologically, socially. And yet, we hardly ever think or speak about light.
LIGHTCAP 4 is titled “Light in indoor contexts”. This MOOC explores the principles of lighting and its effects on humans in various indoor settings. It introduces elements of light and light sources, light distribution indoors, lighting standards, measurements and last, simulations as an important design tool for optimizing indoor lighting. The course is one in a series of four, each with a different disciplinary basis and with complementary perspectives to the domain of light for humans. The basis of this course is in building physics, lighting design and architecture.
In this course you will:
(1) learn why it is important to consider light in the design and evaluation of indoor environments
(2) understand different light sources (daylight & electric lighting) and their properties as well as conceptual strategies for integrative daylighting and electric lighting design
(3) take away a general understanding of the ways in which architecture and design play a role in creating light exposures within indoor environments, and the various factors to keep in mind when designing spaces for people
(4) learn which metrics (e.g. glare, contrast, luminance) in a person's field of view need to be considered when providing for good lighting, and how to quantify all these elements
(5) learn to consider how light exposure profiles are built over time and how the built environment (particularly indoor spaces) influences that
(6) learn about standards and guidelines for indoor lighting on important parameters, such as, glare, discomfort and disability, material reflectance, and surface illumination
(7) be introduced to the use of simulation tools to quantify the effect of a lighting design.
(8) Specifically, you will learn: how to use grasshopper, perform daylight simulations with Ladybug tools, Electric light simulations with Honeybee legacy, and simulations for non-image forming light effects with Lark Spectral Lighting
(9) be re-introduced to light metrology, covering metrological quantities (radiance, irradiance, luminance, illuminance etc.) and their physical foundation
(10) learn about different types of light measurement devices (spectrometers, photometers, luminance meters and cameras) and their various applications.
(11) learn about procedures for static light measurements in indoor light settings (horizontal vs. vertical, grid arrangement, fov etc.)
(12) learn about longitudinal dosimetry, covering methodological considerations regarding measurement (device selection, calibration, measurement setup) and data analysis
2026 Fixing AI Errors & Hallucinations, And Fact-Checking
Not all AI mistakes are the same. Knowing the difference can save you time, money, and headaches. This course gives you the skills to identify, debug, and prevent AI hallucinations and errors across different use cases, from natural language generation to coding assistants.
We start with the fundamentals:
What is an AI hallucination? How to detect fabricated facts, fake citations, and confident falsehoods.
What is an AI error? How to spot faulty logic, outdated knowledge, and reproducible mistakes.
Quick reality-check techniques to verify AI output before it causes harm.
Best prompting strategies to reduce risk and improve accuracy.
Then we move into AI code assistant errors:
Debugging incorrect AI-generated code.
Avoiding subtle logic bugs and broken dependencies.
Testing AI-written functions before deployment.
Combining human review with AI-generated solutions for reliable output.
We’ll also cover real-world case studies where misunderstanding an AI’s mistake led to costly outcomes, and how small changes in workflow could have prevented them. You’ll see how these lessons apply not only to text and coding assistants, but also to AI-driven data analysis, customer service bots, and decision support systems.
Finally, you’ll learn a systematic AI output verification framework you can apply to any LLM, whether it’s ChatGPT, Claude, Gemini, or open-source models. This framework ensures you catch misinformation, prevent damaging decisions, and maintain quality in both everyday AI tasks and high-stakes professional work.
By the end of this course, you’ll be able to:
Tell hallucinations and errors apart instantly.
Design prompts that minimize AI mistakes.
Verify facts and sources efficiently.
Debug AI code assistant output with confidence.
Perfect for developers, tech professionals, and anyone using AI tools for content, decision-making, or coding.
Ethics and AI: A Philosophical Guide to Responsible Use
The primary objectives of this course are to introduce concepts around defining AI and problematizing it's regulation, doing both from a philosophical standpoint. In this course, you'll be introduced to basic philosophical methods and have the opportunity to practice with logical statements. This practice will help you as you critically evaluate arguments for validity and soundness while forming your own opinion on the ethics of AI and AI regulation.
This course empowers learners to secure their Google Workspace environment. Learners will implement strong password policies and two-step verification to govern user access. They will then utilize the security investigation tool to proactively identify and respond to security risks. Next, they will manage third-party app access and mobile devices to ensure security. Finally, learners will enforce email security and compliance measures to protect organizational data.
By the end of this course, learners will be able to prepare raw YouTube datasets, apply MapReduce for large-scale processing, implement Pig Latin scripts for metadata analysis, and execute HiveQL queries to generate structured insights. The course blends practical scenarios with hands-on tools from the Hadoop ecosystem, empowering learners to analyze real-world data efficiently.
This project-based course offers a unique opportunity to practice Big Data analytics using actual YouTube data. Unlike theoretical courses, it emphasizes end-to-end implementation — from data preparation and transformation to query execution and output interpretation. Learners will gain practical skills in Hadoop, MapReduce, Pig, and Hive, making them proficient in handling complex datasets and extracting valuable insights.
By completing this course, learners will not only master essential Hadoop tools but also build a portfolio-ready project that demonstrates Big Data analysis skills applicable to industry scenarios such as video analytics, recommendation systems, and large-scale reporting. This makes the course ideal for students, professionals, and data enthusiasts aiming to strengthen their expertise in Big Data.
Prepare to join a group of over 10,000 Samsung Mobile certified repair technicians in the U.S. who have gone through a training certification that equips them with the skills to conduct a mobile repair safely. Samsung has more than 1,000 Authorized Service Centers and service locations which is a care network that 75% of Americans have access to. This is an entry level course that will teach you the basics of Samsung Care that are needed to become a Samsung mobile repair technician or customer care representative.
In this course, you’ll delve into the various types of data visualizations and explore what makes an effective visualization. You'll also learn about accessibility, design thinking, and other factors that will help you use data visualizations to effectively communicate data insights.
By the end of this course, you will be able to:
- Explain the key concepts involved in design thinking as they relate to data visualization
- Describe the use of data visualizations to talk about data and the results of data analysis
- Discuss accessibility issues associated with data visualization
- Explain the importance of data visualization to data analysts
- Describe the key concepts involved in data visualization
《杏林探宝——认知中药》是由上海中医药大学推出的一门关于中药学的慕课课程，由上海中医药大学杨柏灿教授主讲。
上海中医药大学（Shanghai University of Traditional Chinese Medicine）的前身是上海中医学院，创建于1956年，是新中国诞生后国家首批建立的四所中医药高等院校之一，也是上海市属高校中唯一的一所医科类重点特色院校。
中药学根植于中华文化，是中医药学的重要组成部分，也凝聚着中华文明的精髓。其悠久的历史，卓越的防病治病效果，较少的毒副作用，成为中华民族防病治病不可或缺的选择。同时，中药的作用也日益引起国际社会的关注和重视。但不可否认，对中药的认识和应用存在着一些不容忽视的误区与盲区，非常有必要采取一定的方式，通过合适的平台传播、普及中药知识，使人们对中药有一个更为全面准确的认识，并能合理应用，让中药为人类的健康保健发挥更大的作用。
EFK Foundations: Elasticsearch, Fluent Bit & Kibana
Unlock the potential of modern log management with EFK Stack Foundations. This course is specifically designed for developers and system administrators looking to build a rock-solid understanding of Elasticsearch, Fluent Bit, and Kibana. Through a mix of detailed demonstrations and hands-on labs, you will learn to manage logs effectively and turn raw data into actionable insights.
What You Will Learn:
Logging Essentials: Understand the significance of different log types and industry best practices for effective management.
Elasticsearch Core: Deep dive into the architecture, setup, and installation of Elasticsearch. Master indexing, querying, and real-time data analytics.
Kibana Visualizations: Learn to navigate the Kibana interface to create powerful dashboards that bring your data to life.
Efficient Collection with Fluent Bit: Discover how to use Fluent Bit as a lightweight, high-performance forwarder to streamline your logging pipeline.
Problem-solving is a universal skill. Its applications aren’t limited to your job or what you’re working on in class. Maybe you need the best arrangement to hang up some pictures, are setting up a new TV or just want to find somewhere for your team to go for lunch. These are all examples of problems: situations that can be addressed. The question you then ask is: “How can I go about solving these problems?”
With the expertise of Dr. Brent Scholar from the ASU College of Integrative Arts and Sciences, the Problem-solving course will put the tools, knowledge and strategies of problem-solving directly into your hands. You’ll learn the fundamentals and get acquainted with your problem-solving toolkit. Then, you’ll directly apply them in hands-on scenarios.
Problem-solving is all about generating solutions. Problem-solving is a skill that anyone can learn and can be applied anywhere. Jump-start your problem-solving journey today!
Analyze & Evaluate Retail Banking Operations & Compliance
Develop the ability to analyze retail banking structures, evaluate core banking products, interpret payment processing systems, and apply compliance principles such as KYC and AML in real-world scenarios. By completing this course, learners will gain a practical understanding of how retail banks operate, manage risk, process transactions, and deliver customer-centric services.
This course provides a structured journey from foundational retail banking concepts to operational workflows and regulatory frameworks. Learners will explore current accounts, recurring deposits, debit cards, cheque clearing systems, telegraphic transfers, SWIFT messaging, and RBI-supported interbank settlements. The course also integrates compliance controls with customer delight strategies, highlighting how operational efficiency and regulatory adherence work together to build trust.
What makes this course unique is its balanced focus on products, operations, compliance, and customer experience within a single cohesive framework. Designed for aspiring bankers, finance professionals, and business learners, it bridges theory and practical banking processes, enabling learners to confidently interpret and apply retail banking principles in professional environments.
