This course provides a comprehensive overview of Google Cloud's agent platforms, including Vertex AI Agent Builder, Gemini Enterprise, Conversational Agents, and the Agent Development Kit. Learners will understand the unique capabilities of each offering, distinguish between the optimal solution for specific use cases, and gain foundational knowledge in creating search and chat applications.
Scikit-Learn to Solve Regression Machine Learning Problems
Hello everyone and welcome to this new hands-on project on Scikit-Learn for solving machine learning regression problems. In this project, we will learn how to build and train regression models using Scikit-Learn library. Scikit-learn is a free machine learning library developed for python. Scikit-learn offers several algorithms for classification, regression, and clustering. Several famous machine learning models are included such as support vector machines, random forests, gradient boosting, and k-means.
This project is practical and directly applicable to many industries. You can add this project to your portfolio of projects which is essential for your next job interview.
Wenn auch Sie topaktuelle KI für sich nutzen möchten, sind Sie mit diesem Kurs auf dem richtigen Weg. Deep Learning-Pioniere sind vielgefragt und wenn Sie Deep Learning einmal gemeistert haben, stehen Ihnen zahlreiche Karrieremöglichkeiten offen. Deep Learning ist eine neue „Superkraft“, mit der Sie KI-Systeme entwickeln können, die so vor ein paar Jahren gar nicht möglich gewesen wären.
Mit diesem Kurs eignen Sie sich die grundlegenden Kenntnisse zu Deep Learning an. Am Ende des Kurses werden Sie die folgenden Fähigkeiten erlangt haben:
– Verständnis der wesentlichen Techniktrends, die Deep Learning vorantreiben
– Erstellen, Trainieren und Anwenden lückenloser, tiefer neuronaler Netze
– Wissen, wie Sie effiziente (vektorisierte) neuronale Netze implementieren
– Verständnis der wichtigsten Parameter in der Architektur eines neuronalen Netzes
In diesem Kurs erfahren Sie zudem, wie Deep Learning eigentlich funktioniert, da das Konzept hier nicht nur flüchtig oder oberflächlich beschrieben wird Nach Abschluss des Kurses werden Sie in der Lage sein, Deep Learning für Ihre eigenen Anwendungen zu nutzen. Wenn Sie eine berufliche Laufbahn im Bereich KI anstreben, werden Sie nach diesem Kurs zudem grundlegende Fragen in einem Bewerbungsgespräch beantworten können.
Dies ist der erste Kurs der Deep Learning-Spezialisierung
Computer Science: Algorithms, Theory, and Machines
This course introduces the broader discipline of computer science to people having basic familiarity with Java programming. It covers the second half of our book Computer Science: An Interdisciplinary Approach (the first half is covered in our Coursera course Computer Science: Programming with a Purpose, to be released in the fall of 2018). Our intent is to demystify computation and to build awareness about the substantial intellectual underpinnings and rich history of the field of computer science.
First, we introduce classic algorithms along with scientific techniques for evaluating performance, in the context of modern applications. Next, we introduce classic theoretical models that allow us to address fundamental questions about computation, such as computability, universality, and intractability. We conclude with machine architecture (including machine-language programming and its relationship to coding in Java) and logic design (including a full CPU design built from the ground up).
The course emphasizes the relationships between applications programming, the theory of computation, real computers, and the field's history and evolution, including the nature of the contributions of Boole, Shannon, Turing, von Neumann, and others.
All the features of this course are available for free. People who are interested in digging deeper into the content may wish to obtain the textbook Computer Science: An Interdisciplinary Approach (upon which the course is based) or to visit the website introcs.cs.princeton.edu for a wealth of additional material.
This course does not offer a certificate upon completion.
Renewable Energy and Green Building Entrepreneurship
Welcome to the course where you learn to launch a new business in the energy, finance, real estate, design, engineering, or environmental sectors, while also helping you create positive environmental and human health impacts around the world.
We will integrate tools, trends, and tips from the field of entrepreneurship as a career path for making a difference and generating wealth in the renewable energy and green building sectors.
This is not a course about theory. Instead, we focus on real world application, step-by-step advice, and case studies.
After completing this course, students will be able to:
- Define key business opportunities, challenges, and potential solutions in the renewable energy and green building sectors.
- Analyze a successful business in renewable energy or green building.
- Identify 2 to 3 problems you might solve with either renewable energy or green building products or services.
- Plan for engaging with investors who might finance a new business.
- Take real world first steps towards launching a new business or corporate initiative, by applying the 1-page business idea summary template and the Business Model Canvas to generating and refining your own new business ideas.
Propedéutico: Fundamentos para Posgrado en Negocios
Este curso propedéutico está diseñado como un espacio de autoformación para los estudiantes que inician su maestría en Negocios. Su propósito es facilitar la adquisición de conocimientos y herramientas fundamentales que les permitan afrontar con éxito los desafíos académicos del posgrado. A través del desarrollo de habilidades clave como la expresión escrita, el pensamiento matemático y el uso estratégico de herramientas de inteligencia artificial, el curso busca reducir brechas de conocimiento y fortalecer las competencias necesarias para un desempeño académico y profesional sólido.
This course teaches you how to use generative AI tools such as ChatGPT and GitHub Copilot in your Python projects. You will learn practical methods for automating scripting tasks, improving data analysis with Jupyter and Pandas, and building web applications. The course covers using AI for writing, testing, and documenting code, as well as creating effective prompts. Each module focuses on skills you can apply directly to your work. By the end of the course, you will understand how to integrate generative AI tools into your Python workflow to improve efficiency and solve problems.
Créer une présentation d’entreprise avec Piktochart
À la fin de ce projet, vous aurez toutes les compétences de base pour créer une présentation d’entreprise professionnelle avec Piktochart, logiciel et outil en ligne de création et d’édition d’infographies et de visuels Marketing en tous genres. Vous serez capable de découvrir en détail les différentes fonctionnalités de la plateforme, et serez en mesure d’utiliser ses outils pour créer une présentation professionnelle, compréhensible et ludique.
بنهاية هذا الدورة التدريبية، سوف تقوم بإنشاء حساب مجاني على كانفا، الذي من خلاله ستنشئ صورة مصغرة لتحميها على مقاطع الفيديو التي ستشاركها مع متابعيك اليوتيوب. ستكون قادرًا على دمج مخطط الألوان والصور وعناصر التصميم الأخرى التي ستجذب جمهورك. ستتضمن هذه الدورة مقدمة على الصورة المصغرة وأهميتها، وما أبرز الخطوات التي يجب اتباعها لإنشائها. ستتعلم أيضًا كيفية إنشاء صور مصغرة متحركة أو باستعمال أحد قوالب كانفا
Gemini Enterprise 結合 Google 的搜尋和 AI 輔助功能，企業員工只要在單一搜尋列輸入關鍵字，就能查找文件儲存空間、電子郵件、對話、支援單處理系統和其他資料來源中的特定資訊。Gemini Enterprise 助理還能協助人員腦力激盪、研究資訊、列出文件大綱及執行其他動作，例如邀請同事加入日曆活動，加快完成知識型工作及各種協作作業。(請注意，Gemini Enterprise 先前稱為 Google Agentspace，本課程可能會提及產品舊稱。)
Whether you're a designer, educator, or business professional, this course offers a practical and inclusive introduction to AI-enhanced creativity. You’ll explore how generative AI differs from traditional machine learning, how tools like Adobe Firefly are trained, and how to use them responsibly and effectively. Through real-world examples and hands-on demos, you’ll learn to apply AI across design, video, writing, and more.
Discover how AI can support every stage of the creative process, from brainstorming and ideation to refinement and scaling, while enabling you to maintain your unique voice and vision. You’ll learn to use AI to generate content across formats, make informed creative decisions, and guide outputs with precision. The course also covers key ethical considerations including model transparency, content safety, and ownership.
By the end, you’ll be equipped to integrate AI into your creative process with confidence, integrity, and impact.
