dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Exercer son esprit critique à l’ère informationnelle
Modules:
Bande-annonce, Introduction générale, Introduction - Semaine 1, Info ou Infox ?, Les fake news, Retour sur la vidéo : Vrai ou Faux ?, Qu'est-ce qu'une connaissance ?, Connaissances ou croyances ? Entretien avec Gloria Origgi, Expérience "Jugez Etienne" - Explications, Conclusion
Introduction - Module 2, Les illusions perceptives, Les biais cognitifs, Le boneto : où est la balle ?, La cécité attentionnelle, Quel est le mot mystère ?, Cécité attentionnelle et mémoire, Le biais d'ancrage, Emotions et prise de décision  -  Entretien avec David Sander, L'argument d'autorité, Conclusion
Introduction - Semaine 3, Le biais de confirmation, La dissonance cognitive, Biais de confirmation et internet, Illusion de causalité-1, Illusion de causalité - 2, Biais de généralisation abusive -1, Biais de généralisation abusive - 2, Système 1 et Système 2 - Entretien avec Julien Musolino, Conclusion
Introduction - Semaine 4, Fausses informations et canaux de diffusion, Réseaux sociaux et désinformation - Entretien avec Nathalie Pignard-Cheynel, Les algorithmes des moteurs de recherche et des réseaux sociaux, Algorithmes et biais de genre - Entretien avec Isabelle Collet, Vers des algorithmes non genrés ? - Entretien avec Isabelle Collet, Le rôle des émotions dans la circulation des informations - Entretien avec David Sander, Exposition et impact de la désinformation - Entretien avec Nathalie Pignard-Cheynel, Les Fake News, un impact réel ? - Entretien avec Dominique Cardon, Anonymat et Réflexivité individuelle  - Entretien avec Dominique Cardon, Définir le terme de Fake News - Entretien avec Manon Berriche, Comment mesurer l'impact des fake news ? Entretien avec Manon Berriche, Conclusion
Introduction - Semaine 5, Flexibilité cognitive, La flexibilité conceptuelle à l'oeuvre dans le problème de la bougie, Les conceptions intuitives, La multiplicité catégorielle, Flexibilité en résolution de problème, Impact des métaphores, Faire passer un message, Développer l'esprit critique à l'école, Conclusion
Introduction - Semaine 6, La démarche scientifique, La méthode historiographique - Entretien avec Charles Heimberg, Le statut des sources en histoire - Entretien avec Charles Heimberg, Comment dépasser le biais de confirmation en histoire ? Entretien avec Charles Heimberg, L'approche scientifique, Le protocole expérimental, Caractéristiques d'une hypothèse scientifique, Le groupe contrôle, Effet placebo et Double-aveugle, Exemple de protocole - Emission RTS - Partie 1, Exemple de protocole - Extrait Emission RTS - Partie 2, La pyramide des preuves, Conclusion
Introduction - Semaine 7, Théories du complot - Entretien avec Gloria Origgi, L'ethos de la science et les pseudo-experts : Entretien avec Arnaud Saint-Martin, L'intention des images, De l'usage des graphiques, Les critères de validité d'une page web, InfoTrack, Trouver des sources fiables, Trouver les bons mots-clés, Qu'est-ce qu'un expert ?, Conclusion, Conclusion générale
Course: Impulsa la productividad mediante la pila de tecnología
Modules:
Impulsa la productividad mediante la pila de tecnología, Introducción al curso, Video de introducción del instructor, Agiliza el flujo de trabajo de un SDR con la tecnología, Integra las herramientas tecnológicas al flujo de trabajo de un SDR, Herramientas para impulsar la productividad, Mantente al día con la pila de tecnología en constante evolución, Aprende a manejar las herramientas tecnológicas, Revisión de la semana 1: Conceptos básicos de las herramientas tecnológicas para el desarrollo de ventas
¿Qué es una herramienta de CRM?, Usa las herramientas de CRM como un profesional, Si no está en Salesforce, no existe, Usa Salesforce con estrategia y creatividad, Transforma la experiencia de ventas con la IA, Revisión de la semana 2: Crea las bases para el flujo de trabajo con Salesforce
Introducción a la inteligencia de ventas, Introducción a las herramientas de enriquecimiento de datos, Usa las herramientas de enriquecimiento de datos como un profesional, Introducción a las herramientas de análisis de llamadas, Introducción a los marcadores potenciados, Introducción a LinkedIn Sales Navigator, Prácticas recomendadas para la búsqueda de clientes potenciales para un SDR: desarrollo de listas de clientes potenciales en LinkedIn, Revisión de la semana 3: Optimiza el flujo de trabajo con las herramientas de inteligencia de ventas
Introducción a la captación de ventas, Usa las herramientas de captación de ventas como un profesional, Revisión de la semana 4: Realiza estrategias, interacciones y seguimientos con las herramientas de captación de ventas
Introducción a las herramientas de ventas en redes sociales, Usa las herramientas de ventas en redes sociales como un profesional, Estrategias específicas para LinkedIn, Introducción a LinkedIn InMail y Direct Message, Introducción a la búsqueda de clientes potenciales por video, Usa las herramientas de búsqueda de clientes potenciales por video como un profesional, Revisión de la semana 5: Aprovecha las herramientas de búsqueda de clientes potenciales por redes sociales y videos, Revisión del curso: Impulsa la productividad mediante la pila de tecnología, Introducción a una empresa ficticia, Instrucciones y muestra de la revisión de pares
Course: Prep for Microsoft Azure Data Engineer Associate Cert DP-203
Modules:
Course introduction, Partitioning in Azure Data Lake Storage Gen2, Partitioning strategy for files in Azure Synapse Analytics, Partitioning Azure Blob Storage, Creating and executing a compute solution, Microsoft Purview Catalog
Transforming data using Transact-SQL, Data transformations using Azure Synapse Analytics and pipelines, Transforming data using Apache Spark and Azure Stream Analytics, Performing exploratory data analytics, Developing batch processing solution, Data pipelines, Integrating Jupyter and Python Notebooks, Creating a stream processing solution
Implementing data security, Implementing Azure role-based access control (RBAC), Loading a data frame with sensitive information, Writing encrypted data to tables or Parquet files, Monitoring data storage and measuring query performance, Tuning queries by using indexes and cache, Troubleshooting a failed Spark job and pipeline run
Course: Google Cloud DevOps Fundamentals
Modules:
Course Introduction, GCP CI/CD, Cloud Code, Cloud Build, Artifact Registry, Kubernetes Engine Overview, Cloud Run, Google Cloud Deploy
Virtual Private Cloud (VPC), Virtual Private Cloud (VPC) - Demo, Load Balancing, Cloud CDN, Cloud CDN - Demo, Google Cloud DNS & VPN, Cloud Router, Cloud Interconnect, Google Cloud's operations suite, Cloud Audit Logs, SLO monitoring, Containers in GCP, Kubernetes in GCP & Google Kubernetes Engine (GKE)
Google Cloud Armor, Firewall Rules, Firewall Rules - Demo, Packet Mirroring, Packet Mirroring - Demo, Cloud IAP, Cloud NAT, Identity and Access Management IAM, Binary Authorization, Secret Manager, Cloud Key Management Service, What's Next?
Course: Introduction to Google Workspace Administration - Français
Modules:
Bienvenue, Domaine et configuration du compte, Console d'administration Google, Provisionnement, Provisionnement des utilisateurs, Google Cloud Directory Sync, Provisionnement des utilisateurs avec l'API SDK Admin, Google Groupes, Ressources Google Agenda, Gérer les utilisateurs, Licences utilisateur, Structures organisationnelles, Annuaire Google Workspace, Contacts partagés, Rôles d'administrateur, Récapitulatif du cours
Course: More C++ Programming and Unreal
Modules:
Course Introduction, Navigating a Coursera Course, Meet the Instructor (optional), Lesson Introduction, Booleans, If Statements, Switch Statements, Implementing a Manual Timer, Testing a Manual Timer, Spawning Teddies: Actor and UProperty, Spawning Teddies: Finishing Up, Tagged Destruction
Lesson Introduction, Mouse Location Processing, Working for the Clampdown, Mouse Button Processing, Keyboard Processing, Gamepad Processing
Lesson Introduction, For Loops, Nested For Loops, While Loops, Do-While Loops, Nesting and Boxes, Multiple Spawns
Lesson Introduction, Intro to Arrays, Initializing an Array, Why We Start at Zero, How Big is an Array?, Processing an Array, The Array Container, The Vector Container, The Unreal TArray Container, Ted the Collector, Finishing Up
Course: Principles of Secure Coding
Modules:
Course Introduction, Module 1 Introduction, The Philosophy of Secure Programming, Defining Secure Programming, Robust vs. Secure Programming, Security Policies and Procedures, Secure Programming General Philosophy, Checking Design and Implementation, Where to Look for Vulnerabilities, Secure Programming Summary
Module 2 Introduction, Secure Programming Design Principles Overview, Principle of Least Privilege, Fail-Safe Defaults, Principle of Economy of Mechanism, Principle of Complete Mediation, Separation of Privilege Principle, Principle of Open Design, Principle of Least Common Mechanism, Principle of Least Astonishment, Secure Programming Design Principles Summary
Module 3 Introduction, Robust Programming Overview, Robust Programming Basic Principles, An Example Of Fragile Code, Error Handling, Cohesion, New Interfaces, and Token Generation, Token Generation and Interpretation, Creating and Deleting a Queue, Adding and Removing Elements to a Queue
Module 4 Introduction, Methods for Robustness Overview, Methods Overview: Formal, Informal, and Ad Hoc Methods, Overview of Formal Methods, Login Program Example, Incorporating Hierarchical Decomposition Methodology, Login Program: Authenticating a User, Login Program: Preconditions and Postconditions, Course Summary
Course: Science Matters: Let's Talk About COVID-19
Modules:
Welcome to Science Matters: Let's talk COVID-19
Sit.Rep #1 with Prof Neil Ferguson [Feb 4th], Sit.Rep #2 with Prof Neil Ferguson [Feb 12th], Sit.Rep #3 with Prof Neil Ferguson [Feb 18th], Sit.Rep #4 with Prof Neil Ferguson [Feb 26th], Sit.Rep #5 with Prof Neil Ferguson [March 9th], Sit. Rep #6 with Prof Steven Riley [March 24th], Sit. Rep #7 with Dr Samir Bhatt [April 6th], Sit. Rep #8 with Prof Steven Riley [April 9th]
Welcome to How to Forecast an Epidemic, The Basic Reproduction Number, The Case Fatality Ratio and the Fatality Rate of Infections, Phylogenetics, International Surveillance of COVID-19
Welcome to Health Systems and Economic Impacts, Capacity Planning, Efficiency and Opportunity Costs, The International Health Regulation Metric (IHR): Predicting Emergency Preparedness, Financing Epidemic Responses: Lessons from the West Africa Ebola Outbreak, Low and Middle Income Countries: The Direct and Indirect Effects of Pandemics, How Governments Respond to Pandemics
Intro to Community Participation and Engagement, Community Engagement, Misinformation, Podcast: Perspectives on Community Engagement in the UK, The Ebola Outbreak in West Africa: Perspectives and Lessons for COVID-19, What is the right level of community participation: Arnstein's ladder of citizen participation
Intro to the Virology of COVID-19, SARS-CoV-2: Understanding the Virus to Estimate Risk, The General Structure of Viruses and the Differences between nCOV-2 and Influenza, The Genetics of SARS-CoV-2, The Replication Cycle of Coronaviruses: How The Virus Can Change over Time, PCRs and Antibody Tests: What They Mean (and What They Don't)
The Clinical Features of COVID-19, Treatment of COVID-19
A Final Overview: The Key Concepts, Evolving Research, Shifting Focus, and New Questions: Some Insights
Course: Blockchain Transformations of Financial Services
Modules:
Course Introduction Video, Instructor Introduction, Module 1 Overview, Six Inefficiencies in Financial Services, The Golden Eight Part 1, The Golden Eight Part 2, Insurance, Threat and Opportunity for Incumbents, Recap of Module 1
Module 2 Overview, Decentralizing the Enterprise, Practitioner Perspective - Andreas Wallendahl: Blockchain & ConsenSys, Transaction Costs and the Structure of the Firm, Opportunity 1: Search, Opportunity 2: Contracting, Opportunity 3: Coordination, Opportunity 4: Building Trust, Problems With Modern Accounting, The World Wide Ledger, The CFO, Recap of Module 2
Module 3 Overview, International Clearing and Settlement, Rethinking Central Banking, Stablecoins, Economic Inclusion & Prosperity, Recap of Module 3
Module 4 Overview, Intro to Blockchain Regulation, Practitioner Perspective - Andreas Wallendahl: Regulation, Fundamental Questions, Regulatory Principles, Practitioner Perspective - Massimo Morini: Regulation, Practitioner Perspective - Hariton Korizis: Regulation, Regulation vs. Governance, Practitioner Perspective - Ana Trbovich: Regulation & Governance, The Blockchain Stack, Multiple Layers of Blockchain Governance, A New Framework for Blockchain Governance, Practitioner Perspective - Rob Carter: Governance, Profile of a Blockchain Hotbed, Recap of Module 4, The World in 2030 / What Can We Do?, Course Wrap-Up Video
Course: Ve a lo seguro: Gestiona los riesgos de seguridad
Modules:
Introducción al curso 2, Te damos la bienvenida a la semana 1, Explora los dominios de seguridad del CISSP, Parte 1, Explora los dominios de seguridad del CISSP, Parte 2, Ashley: Un día en la vida, Amenazas, riesgos y vulnerabilidades, Principales repercusiones de las amenazas, riesgos y vulnerabilidades, Herbert: Gestiona amenazas, riesgos y vulnerabilidades, Marco de Gestión de Riesgos (RMF) del NIST, Conclusión
Te damos la bienvenida a la semana 2, Marcos, Controles, Explora la tríada CID, Marcos del NIST, Explora las cinco funciones del Marco de Ciberseguridad (CSF) del NIST, Principios de seguridad de OWASP, Wajih: Mantente al día de las amenazas de ciberseguridad más recientes, Planifica una auditoría de seguridad, Realiza una auditoría de seguridad, Conclusión
Te damos la bienvenida a la semana 3, Registros y herramientas SIEM, Paneles SIEM, Explora las herramientas comunes de SIEM, Talya: Mitos sobre el campo de la ciberseguridad, Conclusión
Te damos la bienvenida a la semana 4, Fases de un manual de estrategias para responder a incidentes, Uso de un manual de respuesta a amenazas, riesgos o vulnerabilidades, Cierre, Conclusión del curso
Course: Fornire un feedback utile (Giving Helpful Feedback)
Modules:
Introduzione al corso, Quando il feedback è importante, Feedback positivo definito, L'impatto delle aspettative positive, Aspettative positive al lavoro, Feedback positivo: possibilità intriganti
Feedback negativo definito, Bias di feedback negativo, Il vasto impatto del feedback negativo
Pensieri aggiuntivi sul feedback positivo, Introduzione alle sette competenze di feedback, Competenza 1:  concentrarsi sul comportamento specifico, Competenza 2:  mantenerlo impersonale, Competenza 3:  mantenerlo orientato agli obiettivi
Competenza 4:  Mantenerlo tempestivo, Competenza 5:  Garantire la comprensione, Competenza 6:  Assicurarsi che sia controllabile, Assicurare che sia controllabile: il ruolo del manager, Competenza 7:  Personalizza il feedback per adattarlo al dipendente
Quando il feedback non funziona, Come creare un cambiamento a lungo termine
Course: Medical Terminology and the Human Body Fundamentals
Modules:
Introduction, Objectives and Vocabulary, Analyzing and Building Medical Terms, Prefixes, Suffixes, Additional Word Forms
Introduction, Objectives, and Vocabulary, Introduction to Anatomy and Physiology, Introduction to Pathology and Diseases, Diagnostics, Treatment and Therapy
Introduction, Objectives, and Vocabulary, Cells and Tissues, Pathology of Cells, Cancer
Introduction and Objectives, Organs and Organ Systems, Homeostasis and Survival, Surface Anatomy, Regions, Quadrants, and Cavities, Pathology Related to Nutrition, Respiratory and Cardiovascular Pathology, Pathology Related to Hydration and Body Temperature
Course: Agile Project Management
Modules:
Introduction to Course 5, A brief history of Agile, Distinguishing Agile from Waterfall, The four values of the Agile Manifesto, The 12 principles of the Agile Manifesto, Adopting an Agile mindset, Applying Agile in a VUCA environment, Introduction to Scrum, Introduction to Kanban, XP, and Lean, Blending project management approaches, Wrap-up
Introduction: Scrum 101, The three pillars of Scrum, The five values of Scrum, Essential Scrum roles, Traits of an effective Scrum Master, Pete: What makes an effective Scrum Master, Traits of an effective Product Owner, Traits of an effective Development Team, Wrap-up
Introduction: Implementing Scrum, Building a Product Backlog, Writing user stories, Backlog refinement and effort estimation, Introduction to the Sprint, Sprint planning, The Daily Scrum and Sprint Review, Sarah: The benefits of a Daily Standup, The Sprint Retrospective, Velocity and burndown charts, Utilizing Kanban boards, Tools for transparency and collaboration, Wrap-up
Introduction: Applying Agile in the organization, Maximizing value-driven delivery, Camron: How Agile can drive value, Components of a value roadmap, Creating an effective value roadmap, Facilitating organizational change, Coaching an Agile team, Agile team challenges, Common Agile coaching challenges, The evolution of Agile, Jez: My thoughts on Agile, Agile project management opportunities, Course wrap-up, Creating a job search plan
Course: Bayesian Inference with MCMC
Modules:
Welcome to Course 2!, Introduction, Underfitting and Overfitting, Explained Variance, Cross Validation, Information Criteria, Log-likelihood and Deviance, Posterior Predictive Distribution, AIC, BIC, DIC and WAIC, A qualitative discussion of the various metrics, Entropy, KL Divergence, Model Averaging
Introduction, Markov Chains, Why does Markov Chain Monte Carlo work?, The Metropolis algorithm for sampling, The Metropolis algorithm in detail, Building the inferred distribution, Implementing the Metropolis algorithm in Python, The Metropolis-Hastings algorithm
Introduction to Gibbs sampling, Overview of the Gibbs Sampling algorithm, The Gibbs sampling algorithm in detail, Introduction to Hamiltonian Monte Carlo, The Hamiltonian Monte Carlo algorithm in detail, Properties of MCMC - I, Properties of MCMC - II
Course: Pixel Art for Video Games
Modules:
Welcome!, Introduction to Photoshop, Basic Color Theory, Treasure Chest Concept, Photoshop for Pixel Art, Making a Pixel Art Asset, Importing Pixel Art into Unity
Basic Composition, Environment Design, Creating a Modular Pixel Art Tile, Making a Pixel Art Tiling Set, Pixel Art Backgrounds, Importing Tiles into Unity
Character Design, Designing with Color Schemes, Blocking in a Pixel Art Character, Adding Color to a Pixel Art Character, Photoshop Brushes, Finishing the Pixel Art Character, Designing Pixel Art Enemies
Storyboarding Animations, Animation in Photoshop, Animating an Idle Animation, Animating a Run Cycle, Jumping Animation, Importing Pixel Animations into Unity
Exporting/Importing a Unity Package
Course: Membuat Desain dan Purwarupa High-Fidelity di Figma
Modules:
Pengantar Materi 5: Membuat Desain dan Purwarupa High-Fidelity di Figma, Kunal - Perjalanan saya menuju UX, Selamat datang di minggu 1, Pengenalan mockup (maket), Chikezie - Transisi dari desain low-fidelity ke high-fidelity, Pengantar elemen-elemen dasar desain visual, Tipografi dalam desain UX, Pentingnya tipografi, Warna dalam desain UX, Ikonografi dalam desain UX, Menambahkan gambar ke mockup Anda, Pengenalan tata letak, Menggunakan grid sebagai pemandu tata letak, Menggunakan containment dalam layout, Gunakan ruang negatif (putih) dalam tata letak, Akhir kata: Mulai membuat mockup
Selamat datang di Minggu ke-2, Penekanan dalam desain UX, Hierarki dalam desain UX, Skala dan proporsi dalam desain UX, Kesatuan dan keragaman dalam desain UX, Menerapkan Prinsip Gestalt pada maket, Meninjau kemajuan Anda, Kesimpulan: Menerapkan prinsip-prinsip desain visual pada maket
Selamat datang di minggu ke-3, Pengantar sistem desain, Manfaat sistem desain, Sistem desain Google: Material Design, Sistem desain Shopify: Polaris, Membuat lembar stiker di Figma, Menggunakan perpustakaan sistem desain di Figma, Shabi - Pertimbangkan teknologi bantu saat bekerja di sistem desain, Akhir kata: Menjelajahi sistem desain
Selamat datang di minggu ke-4, Memberi dan menerima masukan sebagai desainer UX, Dasar-dasar sesi kritik desain, Praktik terbaik untuk sesi kritik desain, Kunal - Pengalaman saya tentang sesi kritik desain, Pengantar sesi kritik mockup, Mengamati sesi kritik mockup, Mengubah masukan dari sesi kritik menjadi tindakan, Melakukan iterasi pada mockup berdasarkan masukan dari sesi kritik, Akhir kata: Berpartisipasi dalam sesi kritik desain
Selamat datang di minggu ke-5, Pengantar purwarupa high-fidelity, Membuat sebuah purwarupa high-fidelity di Figma, Gesture dan motion dalam desain UX, Menambahkan gestures dan motion di Figma, Pertimbangan aksesibilitas untuk gesture dan motion, Jen - Desain dengan mempertimbangkan faktor aksesibilitas, Belajar dari Figma - Interaksi purwarupa dan feedback, Penutup: Membuat purwarupa high-fidelity
Selamat datang di Minggu ke-6, Selamat datang di Minggu ke-6, Melakukan studi kegunaan, Menganalisis dan menyintesis hasil studi kegunaan, Iterasi pada desain high-fidelity, Mengidentifikasi kapan desain dapat dikatakan selesai, Mendokumentasikan dan berbagi desain, Menyerahkan desain untuk diproduksi, Belajar dari Figma - Bersiaplah untuk serah terima, Membuat studi kasus untuk portofolio Anda, Kesimpulan: Pengujian dan iterasi desain, Selamat, Anda telah menyelesaikan Materi 5: Membuat Desain dan Purwarupa High-Fidelity di Figma
Course: Introduction to Program Management
Modules:
IBM Program Manager PC Overview, Course Introduction, Meet the Experts, Program Management, Key Program Strategy Management Relationships, Expert Viewpoints: Criticality of Program Management, The Role of the Program Management Office (PMO)
Key Program Management Stakeholders, Program, Project, Portfolio - What's the Difference?, Program Versus Product Managers, Define the Team of Teams, Expert Viewpoints: Stakeholder Identification and Management, Program Management Performance Domains, Program Management Domain Interactions, Program Management Lifecycle, Program Management Lifecycle Challenges, Expert Viewpoints: Real-life Challenges, PMI-PgMP Certification Overview, Expert Viewpoints: Value Certifications
Program Manager Employment Opportunities, Program Manager Career Paths, Expert Viewpoints: Program Manager Career Path, Course Highlights and Key Takeaways
Course: Blueprint to Brilliance Through Interior Design
Modules:
Introduction to the Course & Meet the Instructor, Approaching Interior Design, How Social Context Influences Spaces, Measurements and Proportions, Materials, Lighting, Furniture, Analyzing Initial Requirements, Plan The Project, Execute The Project, Congratulations and Continuous Learning Journey
Course: Leadership
Modules:
Meet Professor Elizabeth Luckman, Course Introduction, Meet Professor Michael Bednar, Meet Professor Geoffrey Love, Introduction to Decision Making in Organizations, Rational, Boundedly Rational, and Intuitive Decision-Making, Biases in Human Decision Making, Prospect Theory and How Losses Loom Larger than Gains, Ethical Decision Making Traps, Rationalization, Ethical Decision Making Tests
What is a Project?, Waterfall Approach to Project Management, Initiating a Project, Meet Our Expert - Harshad Desai, Insight from an Expert on the Waterfall Approach, Stakeholder Management, Meet Our Expert - Garrett Whitsitt, Insight from an Expert on Managing Stakeholders, Project Scope, Scope Example, Project Priorities, Insight from an Expert on Project Priorities, Work Breakdown Structure, Insight From an Expert on the Importance of Planning, How to Use Sticky Notes to Create a Work Breakdown Structure, Introduction to Project Libre - Mac, Introduction to Project Libre - PC, Creating a Work Breakdown Structure Using ProjectLibre, Organizational and Team Structure, Meet our Experts - Sean Bauer and Andrew Howard, Insight from an Expert on Structuring the Project Team
Defining Leadership for Today's World, Self-Awareness in Leadership, The Emotionally Intelligent Leader, Making Effective Decisions, Making Ethical Decisions, Communicating for Trust Development, Motivating Yourself and Others, Growing as a Leader, Concluding the Course
Course: Responsible AI for Developers: Interpretability & Transparency - Bahasa Indonesia
Modules:
Pengantar Kursus
Ringkasan penafsiran dan transparansi, Ringkasan teknik penafsiran, Penjelasan berbasis fitur: Agnostik model, Penjelasan berbasis fitur: Spesifik model, Penjelasan berbasis konsep dan berbasis contoh, Alat untuk penafsiran, Transparansi Data dan Model, Lab: Vertex Explainable AI, Coursera: Memulai dengan Google Cloud dan Qwiklabs
Ringkasan Kursus
Modul 0: Pengantar Kursus, Modul 1: Penafsiran dan Transparansi AI, Modul 2: Ringkasan Kursus
Course: Analysis of Business Problems
Modules:
Introduction to Capstone, What is Gas Gas? Company Promo Video, 1. Week 1 Intro, 2. The Role of the Manager, 3. Structured vs. Unstructured Problems, 4. Finding Solutions to Unstructured Problems, 5. Introducing Six Steps to Solving Problems, 6. Criteria and Alternatives, 7. From Analysis to Action, 8. Hamlet & Othello, 9. What’s Next, Interview with Ramon Puente
1. Week 2 Intro, 2. Consumer Considerations and Branding, 3. Pricing and Channel Considerations, Interview with Ramon Puente: The Marketing Problem
1. Week 3 Intro, 2. Understand GAS GAS, 3. The Financial Effect of Partnering with KTM, 4. Integrate Finance in Strategy, Interview with Ramon Puente: The Finance Problem
1. Board as Team, 2. Degree of Teamness on Board, 3. GAS GAS Employees, 4. Week 4 Recap, Interview with Ramon Puente: The Managing People Problem
Conclusion and Final Question
Course: Data Structures for Designers Using Python
Modules:
Specialization Overview, Meet Your Instructor, Summary of Course 1, Course Overview, Introduction to our Learning Environment, Introduction to Lists, Lists Index, List Operations, Typography in P5, List Syntax & Typography, Hex Operations in P5, Building a Color Palette, Swapping Palettes, Introduction to Dictionaries, Dictionaries Syntax, Swapping using Dictionaries, Drawing Using Typography 01, Drawing Using Typography 02
Introduction to Grid Structures, Grid Construction 01 - Flat, Grid Construction 02 - Nested, Grid Index Access, Grid Operations, Grid Coordinates, Movement within a Grid, Langton's Ant 01, Langton's Ant 02
Introduction to Vectors, Vector Operations 01, Vector Operations 02, Vector Operations 03, Vector Operations 04, Drawing with Vectors, Predefining Motions, Random Motion, Other Vector Libraries
Object Oriented Programming, Class Syntax, Class Instances, Instances in a Loop, Building a Drawing Class, Class Example, Object Oriented Thinking, File Dependencies
Object Interactions, Behaviors, Simulated Systems, Large Populations, Complex System Project 01, Complex System Project 02, Complex System Project 03, Complex System Project 04, Complex System Project 05, What's Next
Course: GenAI for Customer Service Teams
Modules:
Introduction to GenAI for Customer Service Teams, The GenAI Future-Ready Framework for Customer Service Teams, Ethical Concerns and Remediating Risks, Demo for Executing GenAI Strategies for Customer Service with Pecan AI, Closing Thoughts: What’s Next
Course: Luther and the West
Modules:
What is this Course About?, Learning Objectives, How to Talk About Religion, Introduction to Luther and the Bible, Luther’s Translation of the Bible, Christ in the Bible, Law and Gospel, Christ in the Old Testament
Luther and Anti-Judaism, Luther, the Old Testament, and Anti-Judaism, Lutheran Theologians and Antisemitism in Nazi Germany, The Bible and Its Literal Sense, Luther and Spinoza on Genesis, Spinoza and the Tractatus
Luther the Urban Legend, Key Moments in Luther's Life, Luther and Freedom: What's in a Name?, Freedom and the Individual, Christ and Freedom
Kant and Freedom, Kant and the Bible, Kant and Morality, Martin Luther King, Jr. Theologian of Freedom, King and the Inner and Outer Distinction, Freedom and Love
Introduction to Modernity, Luther on Vocation and Community, Christendom and the Holy Roman Empire, The Two Swords, Luther and Church Reform
Money in the World, Money in the Church, Luther’s Reform of Marriage, Luther’s Reform of Sex, Art, Music
Course: Industrial IoT Markets and Security
Modules:
Introduction, Segment 1 - Full Course Overview, Segment 2 - Full Course Overview (con't), Segment 3 - Industry 4.0, Segment 4 - Enabling Factors, Segment 5 - Business Considerations, Segment 6 - Cyber-Physical Systems, Market Growth, Segment 7 - Top Players, Market Dynamics, Segment 8 - Energy Market Example, Segment 9 - Key Skills to Develop
Segment 1 - Overview of Platforms, Software and Services, Segment 2 - Device, Application and Network Management, Segment 3 - Example Deployment: Building Automation, Segment 4 - Software Solutions, Segment 5 - Services
Segment 1 - Automotive and Transportation, Segment 2 - Industrial (Manufacturing), Segment 3 - Building Automation, Segment 4 - Oil & Gas, Segment 5 - Agriculture, Segment 6 - Real-time Operations Systems (RTOS)
Segment 1 - Leading Network and ISP Providers, Segment 2 - Network Terminology, Segment 3 - Network Functions Virtualization, Segment 4 - Software Defined Networks, Segment 5 - Messaging Schemes, Segment 6 - Long-range Wireless Protocols, Segment 7 - LoRa WAN, Segment 8 - Ingenu, Segment 9 - Satellite Communications, Segment 10 - Short-range Wireless Protocols, Segment 11 - ANT+, Segment 12 - WiFi, Segment 13 - ZigBee, Segment 14 - WHART, Segment 15 - EnOcean, Segment 16 - Z-Wave, Segment 17 - NFC
Segment 1 - Introduction, The Security Mindset, Segment 2 - Encryption Algorithms Part 1, Segment 3 - Diffie-Hellman, Encryption Algorithms Part 2, Segment 4 - Hash and MAC Functions, Segment 5 - Secure Firmware Updates, Random Number Generation, Segment 6 - Threat Vectors, Attacks: Man-in-the-midddle, Replay, Segment 7 - Protection Methods, Side-Channel Attacks, Segment 8 - Chain of Trust, Segment 9 - Examples of Poor Security Implementations, Segment 10 - Incidents in the News, Planning for Incidents, Segment 11 - Web Browsers, Security Certificates, Segment 12 - Blockchains, Segment 13 - Don Matthews, Agenda, Use Standard Algorithms, Segment 14 - Don Matthews, Attacks Part 1, Segment 15 - Don Matthews, Attacks Part 2, Threat Model, Segment 16 - Don Matthews, Wear & Tear, Segment 17 - Don Matthews, More Attacks, Segment 18 - Don Matthews, "Only we can do this", Segment 19 - Don Matthews, More on Attacks, Segment 20 - Don Matthews, Unintended Consequences, Ethical Hacking, Segment 21 - US Security Standards, Summary
Course: Shaping Urban Futures
Modules:
Why Do Cities Matter?, Course Structure, Cities of the 21st Century
New Ways of Knowing the City, Understanding COVID-19 and other disaster scenarios through mobility data, Transport planning, Downscaling census data using satellite imagery, Using satellite imagery and machine learning to predict urban growth, Using smart phone big data to examine spatial-temporal patterns of urban park visitation, Using big data to study the impact of green space and the built environment on health, Module Summary
Recognising the Emergent City, Climate change, plastics and drains in Delhi, "Invisibilised Territories": Emerging Urbanisms in Geographies of Displacement, Emergent Mobilities in an Age of COVID, Social Solidarities, Sexualities and Health in the Urban South, Using Land to Finance Urban Development in the Global South, Module Summary
Exploring Socio-Technical Systems, Fintech Remittances, Blockchain Cadastration, Platform Mobilities, African Kitchens and New Migrant Places in New Delhi, Domestic Energy, Module Summary
Grounding Knowledge, Questions of Knowledge and Practice in the City, Practice, Co-production in Gendered Cities, Rethinking Urban Health Data, Knowledge Transfer and Co-production for Achieving the SDGs in Cities, Shaping Cities with Evidence: The Important Role of Policymakers, Practitioners and Civil Society, Module Summary
Closing Reflections, Bringing It All Together: A Conversation, Recapping Course Learning Outcomes
Course: تحليل البيانات الاستكشافية
Modules:
المقدمة, تثبيت R على نظام التشغيل Windows (3.2.1), تثبيت R على نظام التشغيل Mac (3.2.1), تثبيت R Studio (Mac), إعداد دليل العمل الخاص بك (Windows), إعداد دليل العمل الخاص بك (Mac), مبادئ الرسومات التحليلية, الرسومات البيانية الاستكشافية (الجزء 1), الرسومات البيانية الاستكشافية (الجزء 2), أنظمة الرسومات في R, نظام الرسومات base (الجزء 1), نظام الرسومات base (الجزء 2), وثائق الرسومات الأساسي, أجهزة الرسومات في R (الجزء 1), أجهزة الرسومات في R (الجزء 2)
نظام الرسومات الشبكي (الجزء 1), نظام الرسومات الشبكي (الجزء 2), ggplot2 (الجزء 1), ggplot2 (الجزء 2), ggplot2 (الجزء 3), ggplot2 (الجزء 4), ggplot2 (الجزء 5)
المجموعات الهرمية (الجزء 1), المجموعات الهرمية (الجزء 2), المجموعات الهرمية (الجزء 3), مجموعات K-Means (الجزء 1), مجموعات K-Means (الجزء 2), تقليل الأبعاد (الجزء 1), تقليل الأبعاد (الجزء 2), تقليل الأبعاد (الجزء 3), العمل باستخدام اللون في رسوم R (الجزء 1), العمل باستخدام اللون في رسوم R (الجزء 2), العمل باستخدام اللون في رسوم R (الجزء 3), العمل باستخدام اللون في رسوم R (الجزء 4)
دراسة حالة حول المجموعات, دراسة حالة تلوث الهواء
Course: Religion and Thought in Modern China: the Song, Jin, and Yuan
Modules:
M13.1 Historical background, M13.2 Religious change Introduction, M13.3 Daoism, M13.4 Chaoyuantu, M13.5 Buddhist and Daoist altars, M13.6 The United Front, M13.7 Daoxue as the religion of empire
M14.1 State control of religion, M14.2 Dynastic ancestors, M14.3 Huizong, M14.4 The role of Confucianism
M15.1 The village earth god association, M15.2 Village earth gods, M15.3 Buddhists, Daoists, and kinship institutions, M15.4 Shamans, M15.5 Chen Chun
M16.1 The Universal Salvation ritual, M16.2 Daoist marshals, M16.3 The Orthodox Method of the Heart of Heaven, M16.4 The Heavenly Masters and the universal pantheon, M16.5 Daoist self-cultivation
M17.1 Chan self-cultivation, M17.2 Tiantai ritual, M17.3 Ritual as self-cultivation, M17.4 Rituals for the laity, M17.5 Self-cultivation and ritual innovation
M18.1 Cave culture, M18.2 Big Buddhas, M18.3.1 In Buddhist ritual, M18.4.1 The central mural and karmic enmity, M18.4.2 The sixteen contemplations, M18.4.3 The final three contemplations
M19.1 Background, M19.2 The precursors, M19.3 The Cheng brothers, M19.4 Zhu Xi, M19.5 Zhu Xi and Lu Jiuyuan, M19.6 Zhu Xi’s exclusions
M20.1 Before Zhu Xi, M20.2 Zhu Xi: What and how to read, M20.3 The role of cosmology and ritual, M20.4 The role of the elite, M20.5 Daoxue academies
Course: Memproses Data dari Kotor ke Bersih
Modules:
Pengantar untuk fokus pada integritas, Mengapa integritas data itu penting, Menyeimbangkan tujuan dengan integritas data, Berurusan dengan data yang tidak mencukupi, Arti penting ukuran sampel, Menggunakan kekuatan statistik, Tentukan ukuran sampel terbaik, Evaluasi keandalan data Anda
Bersihkan data itu!, Mengapa pembersihan data itu penting, Angie: Mengapa saya suka membersihkan data, Mengenali dan memperbaiki data kotor, Peralatan dan teknik pembersihan data, Membersihkan data yang berasal dari berbagai sumber, Fitur pembersihan data di spreadsheet, Mengoptimalkan proses pembersihan data, Berbagai perspektif data, Lebih banyak lagi teknik pembersihan data
Menggunakan SQL untuk membersihkan data, Sally: Demi SQL, Memahami kemampuan SQL, Spreadsheet versus SQL, Kueri SQL yang banyak digunakan, Evan: Bersenang-senang dengan SQL, Membersihkan variabel string menggunakan SQL, Fungsi pembersihan data tingkat lanjut, bagian 1, Fungsi pembersihan data tingkat lanjut, bagian 2
Memverifikasi dan melaporkan hasil, Pembersihan dan ekspektasi data, Langkah terakhir dalam pembersihan data, Mencatat perubahan selama pembersihan, Mengapa dokumentasi penting untuk dilakukan, Umpan balik dan pembersihan
Mengenai proses perekrutan analis data, Proses melamar pekerjaan sebagai analis data, Membuat resume, Membuat resume Anda menjadi unik, Joseph: Keterlibatan warga Afrika-Amerika dan kulit hitam di industri data, Menerjemahkan pengalaman kerja sebelumnya, Kate: Jalur karier saya sebagai analis data, Di mana letak minat Anda?
Inilah saatnya untuk tantangan materi, Selamat!
Course: Natural Language Processing in Microsoft Azure
Modules:
Introduction to Explore Natural Language Processing, What is Text Analytics?, Get started with Text Analytics on Azure, Recognize and synthesize speech, Get Started with Speech on Azure, Weekly summary
What is literal and semantic translation?, Get Started with Translation in Azure, What is Language Understanding?, Getting Started with Language Understanding, Weekly summary
What is Conversational AI?, Get Started with QnA Maker and Azure Bot Service, Weekly summary
Course: Bayesian Statistics: Mixture Models
Modules:
Welcome to Bayesian Statistics: Mixture Models, Installing and using R, Basic definitions, Mixtures of Gaussians, Zero-inflated mixtures, Hierarchical representations, Sampling from a mixture model, The likelihood function, Parameter identifiability
EM for general mixtures, EM for location mixtures of Gaussians, EM example 1, EM example 2
Markov Chain Monte Carlo algorithms part 1, Markov Chain Monte Carlo algorithms, part 2, MCMC for location mixtures of normals Part 1, MCMC for location mixtures of normals Part 2, MCMC Example 1, MCMC Example 2
Density estimation using Mixture Models, Density Estimation Example, Mixture Models for Clustering, Clustering example, Mixture Models and naive Bayes classifiers, Linear and quadratic discriminant analysis in the context of Mixture Models, Classification example
Numerical stability, Computational issues associated with multimodality, Bayesian Information Criteria (BIC), Bayesian Information Criteria Example, Estimating the number of components in Bayesian settings, Estimating the full partition structure in Bayesian settings, Example:  Bayesian inference for the partition structure
Course: 工程圖學 2D CAD
Modules:
CAD/BIM專項課程歡迎你！ Welcome to CAD/BIM Specialization, 101 認識這門課 Get to Know This Course, 103 如何通過本課程 How to Pass This Course, 【問卷】讓我們更了解你！, 107 AutoCAD 2015 應用程式 軟體安裝
201 工程師的語言 Language of Engineers, 202 工程師的圖學素養  Graphic Literacy for Engineers, 203 工程師的圖學工具 Graphic Tools For Engineers
301 平面草繪基礎 - 畫直線, 302 平面草繪基礎 - 畫圓、橢圓、弧, 303 平面草繪實作, 304 AutoCAD 畫線 (line), 305 AutoCAD 畫圓 (circle), 306 AutoCAD 畫弧 (arc)
401 幾何構圖, 402 直線、弧與角度任意等分, 403 多邊形繪製, 404 橢圓繪製, 405 拋物線繪製, 406 AutoCAD 格線和鎖點 (grid and snap), 407 AutoCAD 畫橢圓 (ellipse), 408 AutoCAD 畫雲形線 (spline)、拋物線, 409 AutoCAD 畫聚合線 (polyline)
501 正投影基本概念, 502 點、線、面投影特性, 503 繪製三視圖, 504 隱藏線和中心線, 505 圓柱與曲面慣用表示, 506 手繪 EG Cube #1 三視圖, 507 AutoCAD 延伸 (extend), 508 AutoCAD 物件鎖點模式、物件選擇方式 (select), 509 AutoCAD 分解(explode) 、接合(joint)、偏移複製 (offset), 510 AutoCAD 修剪 (trim)、快速修剪(extrim), 511 AutoCAD 繪製 EG Cube #1 三視圖
601 立體圖種類, 602 投影的特性, 603 平面想像立體的方法, 604 等角投影與等角圖, 605 斜投影圖, 606 透視投影圖, 607 AutoCAD 繪製EG Cube #1 等角圖, 608 AutoCAD 平面視圖與等角視圖, 609 AutoCAD 縮放和鏡射 (scale and mirror), 610 AutoCAD 旋轉 (rotate), 611 AutoCAD 圓角與倒角 (fillet and chamfer), 612 AutoCAD 陣列 (array)
701 尺寸標註, 702 圖框與標題欄, 703 AutoCAD 填充線 (hatch), 704 AutoCAD 物件性質, 705 AutoCAD 圖層 (layer), 706 AutoCAD 標註型式設定, 707 AutoCAD 尺寸標註 (dimension), 708 AutoCAD 文字註解及引線, 709 AutoCAD 配置出圖、圖框及頁面設定 (layout), 710 AutoCAD 不同比例尺寸文字大小調整 (layout)
恭喜完成課程！填寫問卷，分享蛻變的你, 回顧 Part 1, 回顧 Part 2, 回顧 Part 3, 回顧 Part 4, 下一個旅程
Course: Bridge Deck Analysis
Modules:
About the Specialization, About the Course, Introduction to Design Philosophies - Working Stress Method and Limit State Method, Introduction to IRC Codal Provisions  - IRC 112, Design Life, Exposure, Material properties, Loss calculations, Ultimate Limit State Design - Bending and Axial Forces, Ultimate Limit State Design - Shear, Punching and Torsion, Interface Part 1, Ultimate Limit State Design - Shear, Punching and Torsion, Interface Part 2, Ultimate Limit State Design - Induced Deformation, Serviceability Limit State - Stress Limitation, Crack-width, Defelection, Pre-stressing Systems, Cable Profiling, End Block Design, Detailing Requirements
Introduction, Load Calculations for Box Culvert Part 1, Load Calculations for Box Culvert Part 2, Single Cell Box Culvert Design Part 1, Single Cell Box Culvert Design Part 2, Single Cell Box Culvert Design Part 3, Single Cell Box Culvert Design Part 4, Single Cell Box Culvert Design Part 5, Retaining Structures, Seismic Isolation Devices, Hold-down Systems, Expansion Joint, Crash Barrier, Miscellaneous Items
Idealisation and Grillage, Effective Width and Member Properties-calculation, Load Application - Impact Factor, Congestion Factor, Lane Reduction Factor Part 1, Load Application - Impact Factor, Congestion Factor, Lane Reduction Factor Part 2, Other Load Calculation Part 1, Other Load Calculation Part 2, Load Combinations, Ultimate Limit State Design Part 1, Ultimate Limit State Design Part 2, Serviceability Limit State Design Part 1, Serviceability Limit State Design Part 2, Transverse Analysis Part 1, Transverse Analysis Part 2, Transverse Analysis Part 3, Special Cases - Skew /Curved Alignments
Introduction and Standards - IRC 24 Provisions, Steel Truss Bridge, Bowstring Truss Bridge, Steel Composite Girder Bridge, Composite Girder - Modelling Part 1, Composite Girder - Modelling Part 2, Composite Girder Design - Flexure, Composite Girder Design - Shear, Composite Girder Design - Fatigue and Other Considerations
Course: Identifying the Right Role for Yourself
Modules:
Required Readings & Resources, Supplemental Resources
Required Readings & Resources, Supplemental Resources
Required Readings & Resources, Supplemental Resources
Required Readings & Resources, Supplemental Resources
Course: Achieving Advanced Insights with BigQuery - Português
Modules:
Introdução ao curso
Funções avançadas (estatísticas, analíticas e definidas pelo usuário), Funções analílicas, cláusula WITH e RANK(), Funções definidas pelo usuário (UDFs) do BigQuery, Criação de subconsultas e CTEs, Introdução ao laboratório: Como extrair insights de funções SQL avançadas
Comparação entre o BigQuery e a arquitetura tradicional de dados relacionais, Armazenamento desnormalizado com base em colunas, Fragmentação de tabela, Introdução aos campos aninhados e repetidos, Introdução a ARRAYs e STRUCTs, Como nivelar ARRAYs: versão legada vs. padrão, Resumo do módulo
Evitar problemas de desempenho do BigQuery, Prevenir pontos de acesso nos seus dados, Diagnosticar problemas de desempenho, Introdução ao laboratório: Como otimizar o BigQuery para custo e desempenho
Uma introdução sobre notebooks na nuvem
Papéis de acesso aos dados, criação de visualizações autorizadas e problemas comuns
Resumo do curso
Course: Project Planning and Machine Learning
Modules:
Introduction, Segment 1 - Learning Outcomes, Introduction to a Design Process, Segment 2 - Requirements, Scope, Schedule, Resources, Heap Chart, Segment 3 - Roles and Responsibilities, Segment 4 - Process: Architecture Definition, Design Planning, Segment 5 - Process: Architecture Definition, Design Planning 2, Segment 6 - Process: Develop, Segment 7 - Process: Verification, Segment 8 - Process: Manufacture, Segment 9 - Process: Deploy, Segment 10 - Process: Validation, Segment 11 - Temperature
Introduction, Segment 1 - Learning Outcomes, Introduction to Thermistors, Segment 2 - Terminology: Resolution, Precision, Accuracy, Tolerance, Segment 3 - Basic Sensor Circuit, Segment 4 - Accuracy Example, Segment 5 - Calculating Rtherm, Segment 6 - Validating Calibration, Segment 7 - Filtering Techniques, Segment 8 - Block, Object and Key-Value Storage Devices, Segment 9 - Filesystem Basics, Segment 10 - A File on a Hard Drive, Segment 11 - A File on a Solid State Drive, Segment 12 - File System: NFS, Segment 13 - How Big is "Big"?, Segment 14 - Traditional File System Bottlenecks, Segment 15 - Parallel Distributed File Systems: Hadoop, Lustre
Introduction, Segment 1 - Learning Outcomes, Segment 2 - AI Backgrounder, Segment 3 - Machine Learning, What is it?, Segment 4 - Machine Learning Schools of Thought, Segment 5 - Get the Tools, Segment 6 - Categories of Machine Learning, Segment 7 - Supervised Learning, Linear Regression 1, Segment 8 - Supervised Learning, Linear Regression 2, Segment 9 - Supervised Learning, Linear Regression 3, Segment 10 - Supervised Learning, Linear Regression 4, Segment 11 - Supervised Learning, Bayes Theorem, Segment 12 - Supervised Learning, Naive Bayes, Segment 13 - Supervised Learning, Support Vector Machines (SVM) Introduction, Segment 14 - Supervised Learning, SVMs, Segment 15 - Unsupervised Learning, K-Means, Segment 16 - Reinforcement Learning, Segment 17 - Supervised Learning, Deep Learning, Segment 18 - Rick Rashid, Natural Language Processing, Segment 19 - Deep Learning, Hearing Aid, Segment 20 - Machine Learning in IIoT, Segment 21 - Machine Learning Summary
Introduction, Segment 1 - Learning Outcomes, Definition of Big Data, Segment 2 - Importance of Big Data, Characteristics of Big Data, Segment 3 - Size of Big Data, Segment 4 - Introduction to Predictive Analytics, Segment 5 - Role of Statistics and Data Mining, Segment 6 - Machine Learning, Generalization and Discrimination, Segment 7 - Frameworks, Testing and Validating, Segment 8 - Bias and Variance in your Data, Segment 9 - Out-of-sample Data and Learning Curves, Segment 10 - Cross Validation, Segment 11 - Model Complexity, Over- and Under-fitting, Segment 12 - Processing Your Data Prior to Machine Learning, Segment 13 - Good Data, Smart Data, Segment 14 - Visualizing Your Data, Segment 15 - Principal Component Analysis (PCA), Segment 16 - Prognostic Health Management, Hadoop Machine Learning Library, Segment 17 - My Example: Predicting NFL Football Winners, Segment 18 - Tom Bradicich, Hewlett Packard's Viewpoint on Big Data
Course: Competencias digitales de ofimática: Microsoft Access
Modules:
Organización del curso y evaluación, Resolver dudas e incidencias, Preguntas frecuentes: generales, Preguntas frecuentes: certificado, Preguntas frecuentes: cuestionarios, ECDL / ICDL
Conceptos, Primeros pasos, Configuración del entorno, Creación y diseño de una tabla (1 de 3), Creación y diseño de una tabla (2 de 3), Creación y diseño de una tabla (3 de 3), Solución de la actividad 1, Relacionar tablas, Solución de la actividad 2, Introducir datos en la tabla
Crear un formulario, Abrir, guardar, cerrar y eliminar un formulario, Introducir/visualizar datos con los formularios, Modificar el diseño de un formulario (1 de 2), Modificar el diseño de un formulario (2 de 2), Solución de la actividad 3, Poner una imagen en un campo, Cálculos en el formulario, Solución de la actividad 4
Buscar, sustituir y ordenar, Filtros, Solución de la actividad 5, Consultas, Solución de la actividad 6
Informes, Solución de la actividad 7, Impresión
Course: Hands-On Labs in Google Cloud for Security Engineers
Modules:
How to Send Feedback
Getting Started with Google Cloud and Qwiklabs
Lab: VPC Network Peering
Lab: Setting up a Private Kubernetes Cluster
Lab: How to Use a Network Policy on Google Kubernetes Engine
Lab: Using Role-based Access Control in Kubernetes Engine
Course: Intel® Solutions Pro – AI in the Cloud
Modules:
Quiz: AI in the Cloud
Quiz: Choosing the Best Public Instance for Your AI Workload
Quiz: Running AI End-to-End in the Cloud
Quiz: Run Intel Tools in the Cloud: OpenVINO
Quiz: CSP AI: Services and Platforms
Hands-On Lab: Intel Gaudi AI Accelerator on Amazon Web Services
Hands-On Lab: AI Distributed Training
Quiz: Federated Learning
Quiz: Run Intel Tools in the Cloud
Course: Vector Search and Embeddings - 繁體中文
Modules:
為何要使用向量搜尋, 生成嵌入, 建立向量搜尋, 實際運用向量搜尋, 搭配使用向量搜尋和檢索增強生成 (RAG)
Course: Data Mining Project
Modules:
Meet Your Instructor!, Preparing for this Specialization, Introduction to Data Mining Project, Data Mining Project: Four Views, Project Scoping and Brainstorming, Overview of Data Mining Projects, Mobile/Wearable/IoT Sensing Projects, Data Fusion & Anomaly Detection Projects, Earthquake & NBA OSN Analysis Projects, Presentation: Purpose and Planning, Presentation: Slides and Presenting
Project Proposal 1, Project Proposal 2, Project Proposal Submissions, Project Proposal Review 1, Project Proposal Review 2, Example: Solar Farm Project, Example: OSN Hazards Project
Project Checkpoint 1, Project Checkpoint 2, Project Checkpoint Review
Project Final Report 1, Project Final Report 2, Project Final Report Review 1, Project Final Report Review 2