12,053 courses
This lesson is part of a full course, Speak English Professionally: In Person, Online & On the Phone. Take this lesson to get a short tutorial on the learning objectives covered. To dive deeper into this topic, take the full course. By the end of this lesson, you will be able to produce proper word stress and intonation in your speaking.
Learn the general concepts of data mining along with basic methodologies and applications. Then dive into one subfield in data mining: pattern discovery. Learn in-depth concepts, methods, and applications of pattern discovery in data mining. We will also introduce methods for data-driven phrase mining and some interesting applications of pattern discovery. This course provides you the opportunity to learn skills and content to practice and engage in scalable pattern discovery methods on massive transactional data, discuss pattern evaluation measures, and study methods for mining diverse kinds of patterns, sequential patterns, and sub-graph patterns.
This course shows you how to build a real customer support AI agent, from retrieval to reasoning to reliable responses. Whether you’re integrating AI into an existing product or launching your first agent, you’ll learn a practical, modern stack that’s fast to build, easy to extend, and ready for production. What is the Vercel AI SDK? Vercel AI SDK is a TypeScript-first toolkit for building AI features. It streamlines text generation, embeddings, and structured outputs. It plays nicely with tools, so your agent can call functions including “search the web” or “query my knowledge base” safely and predictably. In this course, you’ll ship a customer support agent that: - Embeds support docs into a Supabase vector store. - Uses retrieval and web search as tools, selected on-the-fly based on the user’s question. - Classifies intents with structured outputs (via generateObject + Zod). - Answers questions with grounded, trustworthy responses—pulling from your docs when relevant or searching the web in real time when needed.
In this course, you will focus on listening and engagement in the context of social media marketing. You’ll learn the importance of social listening and how to use popular social listening tools. Then, you’ll explore ways to develop relationships with customers and build brand authority. By the end of this course, you will be able to: - Define social listening and discuss why it’s important - Introduce popular social listening tools and how to use them - Provide tips for effective social listening - Understand how to boost engagement on social media - Discuss how to communicate and develop relationships with customers - Discuss how to respond to different types of customer communication on social media - Understand how to write, design, and repurpose engaging content for social media - Describe how to develop a brand voice on social media
This course is designed for professionals interested in learning the principles of Lean Sigma, the DMAIC process and DFSS. This course is number 6 of 8 in this specialization dealing with topics in the Improve Phase of Six Sigma Professionals with some completed coursework in statistics and a desire to drive continuous improvement within their organizations would find this course and the others in this specialization appealing. Method of assessment consists of several formative and summative quizzes and a multi-part peer reviewed project completion regiment.
Today, there exists a changing paradigm for every organization towards Digital Transformation in alignment with rapid growth of Industrial Automation. As automation impacts the business-returns directly, every organization, be it Designing, Manufacturing, Assembling or Logistics sector, sincerely is getting transformed as Digital Industries. One of the key elements underneath this transformation is, the evaluation of multi-featured, high speed, tiny microcontrollers. The global Microcontroller market estimate is with 7.6% CAGR during 2021-2023.This in turn is creating a large job space for Engineering community in the next decade in Digital Transformation domain. The major objective of this course is to equip learners towards such job space of Engineers. Thus, this course on ‘Microcontrollers and Industrial Applications’ has been designed with a clear vision and roadmap with fundamentals of Microcontrollers, methodologies for Designing microcontrollers, exploratory skill in Application-specific embedded boards and real time industrial applications. The concepts of the course are weaved with perfect demonstrations through digital platform along with use cases, which provide complete learner engagement. The course also provides an experiential knowledge and skill about embedded development boards and Integrated Development Environment (IDE) tool. The learners will be guided with a multi-purpose development boards which are preferred in Industrial applications. The pedagogy followed in the course is making learners to get a good insight about the demos and their creativity will be kindled. The in-course discussion prompt of the course, promote the learner to develop creative embedded solution for real-world applications.
Sales presentations often fail not because the idea is weak, but because the message is visually unclear or poorly delivered. In high-stakes, time-constrained sales environments, how information is structured directly affects attention, credibility, and perceived value. This course helps professionals design and deliver sales pitches that persuade by guiding audience focus and reducing cognitive load through clear visual hierarchy. By the end of this course, you will be able to explain how visual hierarchy principles, contrast, alignment, and repetition, shape audience attention and value perception in sales presentations. You will also be able to apply visual hierarchy principles to improve the structure and focus of pitch slides and deliver a concise pitch demonstrating clarity, structure, and confident delivery. Experience in presenting ideas or products in a professional or sales context is required. Building on that foundation, the course emphasizes hands-on practice through slide redesign exercise. You will also create focused, visually persuasive slides and deliver a clear mini-pitch that communicates a problem, value proposition, and next step.
"Clean, Analyze, and Visualize Your Data" is an intermediate course designed for aspiring AI and data professionals who understand that world-class models are built on high-quality data. In this course, you will move beyond theory and gain hands-on experience in the essential, practical skills of data preparation and exploration. You will learn to implement systematic data cleaning and validation routines using industry-standard tools like Pandera to ensure your datasets are reliable and ready for processing. Through guided labs in a Jupyter environment, you will master statistical visualization and dimensionality reduction techniques, such as t-SNE, to transform complex, high-dimensional data into clear, interpretable plots. These visualizations will empower you to uncover hidden patterns, identify anomalies, and diagnose issues—like misrouted data clusters—that could impact model accuracy. By the end of this course, you will not just know how to clean data, but you will understand how to analyze and visualize it to derive insights, ensuring your AI development is built on a solid, well-understood foundation.
Gain a comprehensive understanding of the digital social selling landscape and its evolving best practices. This course equips you to transition from traditional to digital-first selling by building robust audience personas, identifying high-potential segments, and establishing a professional social presence. Through hands-on, actionable lessons, you'll learn to generate targeted leads, build trust authentically, and unlock the power of storytelling and personalized outreach. Special focus is given to adapting strategies for regional and cultural relevance in India, the U.S., and Spanish-speaking communities. Expect to master practical workflows and become a resourceful, credible, and successful social seller.
このコースでは拡散モデルについて説明します。拡散モデルは ML モデル ファミリーの一つで、最近、画像生成分野での有望性が示されました。拡散モデルは物理学、特に熱力学からインスピレーションを得ています。ここ数年、拡散モデルは研究と産業界の両方で広まりました。拡散モデルは、Google Cloud の最先端の画像生成モデルやツールの多くを支える技術です。このコースでは、拡散モデルの背景にある理論と、モデルを Vertex AI でトレーニングしてデプロイする方法について説明します。
Dans ce projet guidé d'une heure, vous apprendrez à connaissez ce qu'est Business Manager et comment créer un nouveau compte. Nous avons appris comment ajouter des comptes publicitaires dans Business Manager. Nous avons appris comment ajouter des personnes à notre compte publicitaire. puis nous apprenons quelles sont les conditions les plus importantes pour ajouter des personnnes à un compte pubicitaire. Nous avons appris comment ajouter une page à Business Manager, nous sommes arrivés à connaître les recommandations les plus importantes concernant les autorisations pour les comptes publicitaires. À la fin de ce projet, vous allez être capable à lier des comptes Facebook Ads à Facebook Business Manager.
Este curso te guiará a través del análisis de la salud financiera de una empresa utilizando indicadores clave como el flujo de caja, la rentabilidad y el apalancamiento. Descubrirás cómo transformar datos numéricos en decisiones estratégicas al interpretar herramientas como el EBITDA y el flujo de caja final, lo que te permitirá mejorar la competitividad de cualquier negocio. En esencia, este curso está diseñado para ofrecer una comprensión más clara y práctica del análisis de las finanzas de un negocio para todos aquellos profesionales interesados en optimizar la estrategia y mejorar los resultados, ya sean emprendedores, gerentes o analistas financieros.
