dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Protecting Business Innovations via Trademark
Modules:
Welcome to Protecting Business Innovations!, 1.1 Course & Introduction to Trademark Overview, 1.2 Why is trademark important to business?, 1.3 How important are trademarks to society?, 1.4 What can be protected by trademark?, 1.5 Trademark Registration & Jurisdiction, 1.6 Trademark Rights & Litigation, 1.7 Introduction to Trademark Summary
2.1 Trademark Global Issues & Challenges Overview, 2.2 Trademark Usage & Priority, 2.3 Local vs Global Registration, 2.4 USA vs China Trademark Registration Lawsuits, 2.5 Risks of Losing Trademark Rights, 2.6 Cyberspace Trademark Issues, 2.7 Grey-Market Goods, 2.8 UK Passing Off Law, 2.9 Trademark Global Issues & Challenges Summary
3.1 Trademark Infringement & Defenses overview, 3.2 Trademark Infringement, 3.3 Trademark Infringement Defenses, 3.4 Trademark Violation Tests, 3.5 Ferrari vs Roberts Case, 3.6 Crocodile Wars Case, 3.7 New Balance China lawsuits, 3.8 Trademark lawsuit as a weapon, 3.9 Trademark Infringement & Defenses Summary
How do companies fight 'Trademark Trolls'?, Peer-graded assignment summary, Protecting Business Innovations via Trademark Summary
Course: Statistics and Data Analysis with Excel, Part 2
Modules:
Welcome to the Course!, How the Course Works, Standardizing and Z-Values, Part 1, Standardizing and Z-Values, Part 2, Inverse Normal Distribution Calculations
Introduction to Inferential Statistics, Sampling Distribution vs. Population Distribution, The Central Limit Theorem, Variance Known or Unknown?, Confidence Interval on the Mean, Variance Known, The T Distribution, Confidence Interval on the Mean, Variance Unknown, Using the CONFIDENCE.NORM and CONFIDENCE.T Functions in Excel, Prediction Interval on a Future Observation, The Chi-Squared Distribution and Confidence Intervals on the Variance, Guided Workshop 2: Confidence Interval Calculator for Small Data Sets
Introduction to Hypothesis Testing, Part 1, Introduction to Hypothesis Testing, Part 2, Hypothesis Tests on the Mean Using Confidence Intervals, The Test Statistic Approach to Hypothesis Testing, Using P-Values for Hypothesis Testing on the Mean, Part 1, Using P-Values for Hypothesis Testing on the Mean, Part 2, Type I and Type II Errors, Example: Type II Error, Power of the Test, Choice of Sample Size and OC Curves, Choice of Sample Size, Variance Unknown, Hypothesis Tests on the Variance, Hypothesis Tests on a Binomial Proportion, Guided Workshop 3: Real-Time Power Calculator
Comparison of Means, Variance Known (Part 1), Comparison of Means, Variance Known (Part 2), Comparison of Means, Variance Unknown (Part 1), Comparison of Means, Variance Unknown (Part 2), Paired T-tests, The F Distribution and Comparison of Variances, Comparison of Proportions, Guided Workshop 4: Two-Sample T-Test Calculator
Linear Regression, Part 1: Simple Linear Models (Straight Line), Linear Regression, Part 2: General Linear Models, Linear Regression, Part 3: Multilinear Regression, Simple Linear Regression Using Least Squares Estimators, Hypothesis Tests for Simple Linear Regression, Confidence Intervals on Slope and Intercept, Examples: Confidence Interval on the Slope, Confidence Interval on the Mean Response, Coefficient of Determination and Adjusted R-Squared, Guided Workshop 5: Prediction Interval for a Future Observation
Matrix Approach to Multiple Linear Regression, Statistical Properties of Least Squares Estimators, Hypothesis Tests in Multiple Linear Regression, Part 1, Hypothesis Tests in Multiple Linear Regression, Part 2, Confidence Intervals in Multiple Linear Regression, Introduction to Nonlinear Regression (Logistic Regression), Guided Workshop 6: Real-Time Multilinear Regression Calculator
Single-Factor ANOVA: Introduction and Terminology, Single-Factor ANOVA: Partitioning the Sum of Squares and Creating the ANOVA Table, Single-Factor ANOVA: Comparison of Means, Guided Workshop 7: Two-Way Analysis of Variance
Course: Business English: Final Project
Modules:
Welcome Wishes, Top Tier Success - Advice for Learners, Example Submission and Feedback (D1), Example Submission and Feedback (D2), Example Submission and Feedback (D3), Example Submission and Feedback (D4)
Top Tier Success~Advice for Learners, CEO: Example Submission and Feedback (D5 & D6), CFO: Example Submission and Feedback (D5 & D6), CMO: Example Submission and Feedback (D5 & D6)
Top Tier Success Advice for Learners, Example Submission and Feedback (D7), Example Submission and Feedback (D8), Example Submission and Feedback (D7), Example Submission and Feedback (D8), Example Submission and Feedback (D7), Example Submission and Feedback (D8)
Top Tier Success ~ Advice for Learners, CEO Example Submission and Feedback (D9 & D10), CFO Example Submission and Feedback (D9 &10), CMO: Example Submission and Feedback (D9 &10)
How to Begin? Watch Wanda Walk Through Her Process, Example Submission and Feedback (Final Pitch), Congratulations! You Did It!
Course: Term-Structure and Credit Derivatives
Modules:
Course Overview
Introduction to Term Structure Lattice Models, Binomial Models for Short Rate, The Cash Account and Pricing Zero-Coupon Bonds, An Example, Fixed Income Derivatives: Options on Bonds, Fixed Income Derivatives: Bond Forwards, Fixed Income Derivatives: Bond Futures, Fixed Income Derivatives: Caplets and Floorlets, Fixed Income Derivatives: Swaps, Fixed Income Derivatives: Swaptions, The Forward Equations: Introduction and Derivation, Pricing using the Forward Equations
Model Calibration: Introduction and Principles, Model Calibration Using Excel, An Application: Pricing a Payer Swaption in a BDT Model, Fixed Income Derivatives Pricing in Practice, Modeling Defaultable Bonds: Introduction, Modeling Defaultable Bonds: Examples, Pricing Defaultable Bonds: Introduction, Pricing Defaultable Bonds: Calibrating using Excel
Credit Default Swaps: Introduction, Credit Default Swaps: Examples, Pricing Credit Default Swaps: Introduction, Pricing Credit Default Swaps: Examples with Excel, Interview with Emanuel Derman
Introduction to Mortgage Mathematics and Mortgage-Backed Securities - Part I, Introduction to Mortgage Mathematics and Mortgage-Backed Securities - Part II, Prepayment Risk and Mortgage Pass-Throughs - Part I, Prepayment Risk and Mortgage Pass-Throughs - Part II, Mortgage Pass-Throughs in Excel, Principal-Only and Interest-Only MBS, Risks of Principal-Only and Interest-Only MBS, Collateralized Mortgage Obligations (CMOs), Pricing Mortgage-Backed Securities - Part I, Pricing Mortgage-Backed Securities - Part II
Reading: Introduction to Assignment
Course: COVID-19: What You Need to Know
Modules:
COVID-19, Polymerase Chain Reaction (PCR) and Reverse Transcriptase-PCR (RT-PCR), Imaging Features of COVID-19, N95 Masks - Clinical Skills, Beating Coronavirus: Flatten the Curve, Raise the Line
Course: Real-Time Cyber Threat Detection and Mitigation
Modules:
Introduction: What You Will Learn from This Course on Cyber Security, Assignments and Reading, Security Through Obscurity, TCP/IP Evolution and Security, TCP/IP Overview, IP Spoofing, TCP Sequence Number Attack, Packet Flooding, Packet Sniffing, SYN Packets for Access Control, Definition of a Firewall, Firewall: Stateful versus Stateless, Interview:  John Viega
Assignments and Reading, Packet Filtering, Sample Packet Filtering and Reference Architecture, Default Firewall Block, Firewall Rules to Allow Outbound Web Browsing, Firewall Rules to Allow Telnet and Other TCP Services, Establishing Corporate Policy Rules, FTP Protocol, Firewall Rules for FTP, Application Proxy Filtering, Forward and Reverse Proxies, Interview: Roger Piqueras Jover
Assignments and Readings, Firewall Architectures (Part 1), Firewall Architectures (Part 2), Management by Exception, System Auditing, Basics of Intrusion Detection, Signature Versus Behavioral Detection, IDS Versus IPS, Design of SIEM, Design of a SOC, Interview: Dino Dai Zovi
Assignments and Reading, Practical Limitations of Perimeter, APT Schema Through Perimeter Holes, Third Party Security, Target APT Attack, Large Government Agency Attack, Layer 3 DDOS Protection, Layer 7 Application Level DDOS Risk, Large Financial Website DDOS Attacks, Network Security Industry Overview, Interview: Ray Cheng - Pt. 1, Interview: Ray Cheng - Pt. 2
Course: Cloud and AWS Basics
Modules:
Course Introduction, Overview of Cloud Computing, Cloud Computing Model, Cloud vs. Traditional Computing, Cloud Deployment Model, AWS Introduction, Overview of AWS Services, Design Principles, Comparison - AWS, GCP, and Azure, AWS Global Infrastructure, AWS Support Plans and Pricing
Introduction to IAM, Working of IAM, IAM Identities, Federating the Existing Users, IAM Group, IAM Roles, IAM Permissions and Policies, Security Features outside of IAM, IAM Best Practices, IAM Use Case with EC2
Course: Modern Robotics, Course 6:  Capstone Project, Mobile Manipulation
Modules:
Introduction to the Capstone Project:  Mobile Manipulation, Video Summary of the Capstone Project, (Optional Review) Omnidirectional Wheeled Mobile Robots (Chapter 13.2, Part 1 of 2), (Optional Review) Omnidirectional Wheeled Mobile Robots (Chapter 13.2, Part 2 of 2), (Optional Review) Odometry (Chapter 13.4)
Milestone 2:  Reference Trajectory Generation, (Optional Review) Point-to-Point Trajectories (Chapters 9.1 and 9.2, Part 1 of 2), (Optional Review) Point-to-Point Trajectories (Chapters 9.1 and 9.2, Part 1 of 2)
(Optional Review) Product of Exponentials Formula in the End-Effector Frame (Chapter 4.1.2), (Optional Review) Body Jacobian (Chapter 5.1.2), (Optional Review) Motion Control with Velocity Inputs (Chapter 11.3, Part 3 of 3), (Optional Review) Mobile Manipulation (Chapter 13.5)
Completing the Project and Your Submission
Course: Gestão da Cadeia de Suprimentos
Modules:
Visão Geral do SCM​, Estratégia de Produção, Desafios da Evolução do Supply Chain, Estratégia da Cadeia, Modelo E2E, Integração do Supply Chain
O Futuro do Supply Chain Management, Automatizando o Planejamento e Sequenciamento no Planejamento Estratégico, Automatizando o Planejamento e Sequenciamento no Planejamento Tático, Automatizando o Planejamento e Sequenciamento na Execução e Controle Operacional
Conceitos Básicos de Big Data - Parte 1, Conceitos Básicos de Big Data - Parte 2, Conceitos Básicos de IoT, Conceitos Básicos de Blockchain, Conceitos Básicos de Machine Learning (IA)
O que é Personalização, Demandas por Personalização, Marketing e Relacionamento Personalizado, Produtos e Serviços Personalizados, Impactos no Supply Chain, Estudo de Caso - Parte 1, Estudo de Caso - Parte 2
Course: Liderazgo en la empresa familiar
Modules:
Bienvenida, Mitos y realidades de la empresa familiar, Video Retos y perspectivas de la empresa familiar
El sistema empresa- familia- propiedad, Tipos de pensamiento del líder- dueño en la empresa familiar
El modelo de riesgo estructural, Evolución de modelos de empresa familiar
Compromiso e inventario de competencias del sucesor, Desarrollar el Talento de la Siguiente Generación
El liderazgo en la empresa familiar, La dinámica de gobierno, Entrevista con Susanne Grimm, Entrevista con Carlos Núñez
Course: Soul Beliefs: Causes and Consequences - Unit 3: How Does It All End?
Modules:
Introduction
Evolutionary Psychology Part A, Evolutionary Psychology Part B, Evolutionary Psychology Part C
The Evolution of the Human Brain Part A, The Evolution of the Human Brain Part B, The Evolution of the Human Brain Part C
The Human Spark Part A, The Human Spark Part B, The Human Spark Part C, NPR audio interview - Richard Leakey Reflects On Human Past And Future
The Scopes Trial Part A, The Scopes Trial Part B, The Scopes Trial Part C
Judgment Day Intelligent Design On Trial
Where Do We Go From Here Part A, Where Do We Go From Here Part B
Syllabus, Grading and Logistics
Course: Oracle Cloud Infrastructure Foundations
Modules:
Introduction, OCI Overview, OCI Architecture, OCI - Distributed Cloud, Demo: OCI Console Walk-through, IAM Introduction, Compartments, Demo: Compartments and Identity Domains, AuthN and AuthZ, Demo: AuthN & AuthZ, Tenancy Setup, VCN Introduction, Demo: VCN creation using Wizard, VCN Routing, VCN Security, Load Balancer, Demo: Load Balancing
Compute Introduction, Instance Basics, Demo: Getting Started with Cloud Shell, Demo: Creating a Compute Instance, Scaling, OKE Introduction, Container Workloads in OCI, Serverless with Oracle Functions, Storage Introduction, Object Storage, Demo: Object Storage, Block Volume, Demo: Block Volume, File Storage, Database Introduction, Autonomous DB, Demo: Autonomous Database, MySQL
Security Introduction, Cloud Guard, Security Zones and Security Advisor, Demo: Security Zone and Security Advisor, Encryption Basics, Vault, Demo Vault, Pricing, Cost Management, Demo: Cost Management, Demo: Cloud Advisor, Tagging, Support Rewards
Certification Exam Preparation, Sample Exam Questions - I, Sample Exam Questions - II
Course: Regression Modeling for Marketers
Modules:
The Main Ideas of Simple Linear Regression (SLR), Describing Lines and Normal Distributions, Residuals, SSE, and Ordinary Least Squares Regression, Confidence Bands for Regression Lines: Homoscedasticity, Predicting With SLR: Obtaining Regression Coefficients
Testing for Normality of Residuals, Standard Errors for Regression Coefficients, R-Squared, Summary of Regression Outputs, Difference of Means, Part 1: Two-Sample T-Test, Difference of Means, Part 2: SLR with Dummy Variables and A/B Testing
Checking SLR Assumptions, Assessing SLR Assumptions Visually: Anscombe's Quartet, Non-Parametric Smoothing Regression Using LOESS: Part 1, Non-Parametric Smoothing Regression Using LOESS: Part 2, Comparing SLR and LOESS, Introduction to Multiple Linear Regression (MLR), R-Squared for MLR, MLR with Discrete Independent Variables: One-Hot Encoding, Interpreting MLR Coefficients for Dummy Variables, Wrap-up on One-Hot Encoding in MLR
Analysis of Variance (ANOVA), Checking Anova Assumptions, Analysis of Covariance (ANCOVA), Beyond ANCOVA, Logistic Regression & Generalized Linear Models, MLE and Multivariate Logistic Regression, Causal Evaluation with Regression Models 1: Improved A/B Testing with MLR, Causal Evaluation with Regression Models 2: Multivariate Testing and Uplift Modeling, Causal Evaluation with Regression Models 3: Difference-in-Differences (DID), Causal Evaluation Methods
Course: Real Estate Property Management
Modules:
Introduction to the Course & Meet Your Instructor, Introduction to Property Management, Best Practices in Property Management, Common Challenges in Property Management, Enhancing Profitability in Property Management, Addressing Operational Challenges, Risk Management in operations, Modern Tools and Systems for Property Management, Demonstration of Key Tools that can be Used, Leveraging Technology to Improve Property Management, Case Studies in Technological Implementation, Congratulations and Continuous Learning Journey
Course: Responsible AI for Digital Leaders with Google Cloud
Modules:
Introduction to Responsible AI
Concerns about artificial intelligence, The ethical aims of Google's AI principles, What we’ve learned for operationalizing AI principles: Challenges, What we’ve learned for operationalizing AI principles: Best Practices
Google’s AI governance, Issue spotting process, Google Cloud’s review process
Additional Resources
Course: R Programming and Tidyverse Capstone Project
Modules:
Welcome and Introduction to the Project, Problem Statement
Problem Statement
Problem Statement
Course: Gestión de la Diversidad, Equidad, Inclusión y Pertenencia
Modules:
Video introductorio del curso, ¿Por qué tomar este curso?, Comunicación inclusiva, Identidades y perspectivas, Explorando tu singularidad, Qué es la DEIB, Pertenencia, Repensando la normalidad, Cuestiona tus sesgos, Cómo afrontar los prejuicios, Microagresiones, Interseccionalidad, Identificación y reconocimiento de privilegios
Inventario del círculo íntimo, Tipos de diversidades, Diversidad de Género, Diversidad de Orientación Sexual, Diversidad Cultural, Diversidad de personas con discapacidad, Diversidad Generacional, Grupos en situación de especial vulnerabilidad, Derecho a la igualdad, Racismo, Impacto en mi entorno social
¿Cómo evaluar el grado de inclusión de una empresa?, Rol de RRHH para entender y adoptar la interseccionalidad, DEIB como compromiso social empresarial, ¿Cómo trabajó una empresa para erradicar el sesgo de las evaluaciones de rendimiento?, Factores de éxito comunes a todas las iniciativas de la DEIB, Ejercicio de reflexión para desarrollar Self - awareness, Conversaciones significativas en DEIB, Video de Cierre
Course: Adding Electronics to Rapid Prototypes
Modules:
Meet the Instructor: Daniel Frank, Specialization Introduction, Adding Electronics to Rapid Prototypes Course Introduction
Electric Circuits Basics, Components of a Simple Electric Circuit, Breadboards, Breadboards Demonstration, Multimeters, Multimeters Demonstration
Soldering, Wire Connections
Motor Basics, Attaching to a Motor, Motor Selection, Servos and Other Actuators, H-Bridges, Motors and H-Bridge Demonstration
What is a Microcontroller?, Analog and Digital Signals, Arduino Demonstration
Course: 3D Reconstruction - Multiple Viewpoints
Modules:
Course Syllabus, About the Instructor, Course Information and Support, Academic Honesty Policy, Discussion Forum Etiquette, Frequently Asked Questions, Pre-Course Survey
2.2 Video Correction
3.5 Video Correction, 3.7 Video Correction
4.4 Video Correction
5.3 Video Correction, 5.4 Video Correction, Post-Course Survey
Course: Global Marketing: Cultural Frameworks
Modules:
Welcome to Global Marketing: Cultural Frameworks, Meet Professor Carlos Torelli, Meet Professor Tina Girndt-Clougherty, Learn on Your Terms
Module 1 Overview, Module 1 Introduction, Globalization and the Forces Shaping Business Practices, What is Culture?, Why Do Cultures Emerge?, What Shapes Culture?, The Iceberg Model, Inside-Outside Model of Culture, National and Organizational Culture
Module 2 Overview, Module 2 Introduction, Hofstede’s Culture Framework, Individualism, Power Distance, Masculinity, Uncertainty Avoidance
Module 3 Overview, Module 3 Introduction, Culture and the Self: Individualistic and Collectivistic Views of the Self, Culture and the Position of the Self in Society: The Vertical-Horizontal Distinction, Overlap Between Triandis’ Four Cultural Orientation Framework and Hofstede’s Framework, Culture and Coordination Between Different Selves in Society: Tightness vs. Looseness
Module 4 Overview, Module 4 Introduction, The Dynamic View: Culture as a Knowledge Network, Cultural Activation or Priming, Biculturalism, International Assignments, Culture Shock
Course: Ebola: Essential Knowledge for Health Professionals
Modules:
Welcome to the course
Introduction lecture
Introduction lecture
Introduction lecture
Introduction lecture
Introduction lecture
Introduction lecture, Lecture, Main stakeholders in the current outbreak
Introduction lecture, Welcome from Sierra Leone, Community and Trust, Interview with cleaners, Stigma of Ebola, Introduction lab technician Roosevelt Lahai, Medical Staff Survivor, Reopening the hospital for basic health care, Impression of the operation room, Trust and experience in the team, Impression of cautionary measures and preparations
Final survey, Farewells
Course: University Teaching
Modules:
Course introduction
Module overview, Teaching and learning spaces, Student voice: What are we looking for in university education?, Student voice: What kind of teaching engages us?, Student diversity in learning (I) : Three examples, Student diversity in learning (II) : Implications for teaching, What does it involve teaching in a university?  – Interviews with colleagues, What options do we have for long-term professional development?  – Interviews with colleagues
Module overview, Three domains of learning and levels of understanding, Teaching and learning approaches, Factors that influence student learning (I), Factors that influence student learning (II), Seven principles of effective teaching (I), Seven principles of effective teaching (II), Seven principles of effective teaching (III)
Module overview, Constructive alignment, Interview with Biggs and Tang, Writing learning outcomes (I), Writing learning outcomes (II), Writing learning outcomes (III), Compiling a course outline, Planning a lesson
Module oveview, Problem-based learning (I) : PBL in practice, Problem-based learning (II) : Rationale, design and practical experiences, Audience response system, Think-pair-share, Teaching a large class, Flipped learning, Team-based learning, Experiential learning
Purposes of assessment, The impact of assessment on students’ learning and the backwash effect, Decisions framework for assessment design, Contexts of assessment: Learners’ characteristics, Contexts of assessment: Standards-based assessment and norm-based assessment, Interview with Prof. Royce Sadler on understanding standards, Groupwork assessment, Principles of good assessment practices
Introduction of feedback and the relationship between assessment and feedback, Feedback that makes a difference, Small changes in feedback practices making a big difference, How to make feedback sustainable?, Principles of good feedback
Course: Getting Started with Google Kubernetes Engine - 简体中文
Modules:
课程简介
简介, 云计算和 Google Cloud, Google Cloud 计算产品, Google 网络, 资源管理, 结算, 与 Google Cloud 交互, 实验简介：访问 Cloud 控制台和 Cloud Shell, Coursera：Google Cloud Platform 和 Qwiklabs 使用入门
简介, 容器, 容器映像, 实验简介：使用 Cloud Build, Kubernetes, Google Kubernetes Engine
简介, Kubernetes 概念, Kubernetes 组件, GKE Autopilot 和 GKE Standard, 对象管理, 实验简介：部署 GKE Autopilot 集群
简介, kubectl 命令, 部署, 实验简介：通过 Cloud Shell 部署 GKE Autopilot 集群
课程总结
Course: Optical Efficiency and Resolution
Modules:
Introduction to the Course, Light has a shape, The Gaussian beam, The Gaussian q parameter, The evolution of the q parameter, Gaussian Beam Propagation Lab Demo, Ray tracing Gaussian beams, Examples of ray tracing Gaussian beams, Do Gaussian beams obey imaging?, The Lagrange invariant, The post-doc's tale, Design of a fiber to fiber coupler
Maxwell's equations, Lorentz oscillator, Wave equation, Plane waves, Spatial frequency, Spherical waves, Fresnel coefficients, Brewster's Angle Laboratory Demonstration
Lenses take Fourier transforms, Fourier Transform of the Gaussian Beam, The Airy disk, Cutoff Frequency, The coherent transfer function, The relation of impulse response and transfer function, Incoherent impulse response, Optical transfer function, Summary, Implementation in OpticStudio
Aperture stop and pupils, Field stop and windows, Lyot stop, Stops Laboratory Demonstration, Effective NA and F#, Depth of focus, Vignetting, Telecentric imaging, Lagrange invariant, Resolvability, Example and Phase Space
Typical radiometry problem, Radiometry units, Solid angle, Blackbody radiation, Lasers vs. lamps, Tilted sources, Cos 4th law, Constant radiance theorem, Constant radiance theorem again, Example
Course: Mandarin Chinese for Intermediate Learners: Part 2
Modules:
网上购物 Shopping online
艾米丽的日记 Emily's Diary, Cultural appreciation 文化赏析
那套房子怎么样？How is that apartment?
马克的日记 Mark's Diary, Cultural appreciation 文化赏析
他们剪得好吗？Can they cut it well?
马克的日记 Mark's Diary, Cultural appreciation 文化赏析
你的才能会被我们欣赏 Your talent will be appreciated by us
天美公司招聘 Recruitment by Tianmei Company, Cultural appreciation 文化赏析
李佳下周就过生日了 It will be Li Jia's birthday next week
李佳的日记  Li Jia's Diary, Cultural appreciation 文化赏析
Course: The Dynamic Earth: A Course for Educators
Modules:
Course Overview, Introduction to the Course, How Zircons Have Revolutionized Understanding of Early Earth, The Rate of Decay
Evolution of Early Earth's Atmosphere, Banded Iron Formation, Stromatolites, Teaching with the Next Generation Science Standards: Part 1, Teaching with the Next Generation Science Standards: Part 2, Local Geology Assignment: Part 1, Local Geology Assignment: Part 2
The Structure of Mountain Belts: The Swiss Alps, Ductility of Rocks, Marble Deformation, Scientists at Work: Mountain Building, Addressing Student Misconceptions When Teaching Plate Tectonics
Earthquake Risk, Learning & Teaching with the Teaching Case, Part One: Background, Part Two: Data Collection, Part Three: Results, Part Four: Beyond Tectonics, Closing Thoughts
Course: Security for Artificial Intelligence Software and Services
Modules:
Introduction to the Course, Meet Your Instructor, What you will learn in this lesson, Overview of AI Security – Concepts and Importance, Identifying Common Security Threats in AI Systems, Introduction to Ethical AI and Data Privacy Concerns, What you will learn in this lesson, Designing AI with Security in Mind, Secure Data Management in AI Systems, Basics of Encryption and Access Control in AI Environments
What you will learn in this lesson, Secure Coding Practices for AI Development, Vulnerability Assessment and Penetration Testing for AI Systems, Implementing Secure AI APIs and Endpoints, What you will learn in this lesson, Monitoring and Maintaining AI System Security, Compliance with AI Security Standards and Regulations, Future Trends in AI Security and Emerging Threats
Course: Business English: Capstone Project
Modules:
Video: Introduction to Capstone Project, Video: Choosing a Product or Service
Video: Describing a Product or Service, Video: Example of Networking Introductions, Video: Describing Your Job, Part 1, Video: Describing Your Job, Part 2, Video: Describing Services, Part 1, Video: Edgewater Hotel Interview, Video: Describing Services, Part 2, Video: Comparing Services, Part 1, Video: Comparing a Service Scenario, Video: Comparing Services, Part 2
Video: Business Plans, Video: Creating a Set of Presentation Slides for Capstone, Video: Slides, Video: Giving Effective Presentations
Video: Marketing Ideas, Video: Financial Information, Video: Reporting Information, Video: Expressing Dollars and Cents, Describing Data, Video: Referring to Data and Visuals, Video: Introduce and Explain Relevance of Visuals, Challenges in Visual Descriptions, Using Large Numbers, Introduction to Trends
Video: Being Persuasive, Video: Writing Your First Draft of a Mini Business Plan, Video: Organization of Written Proposals, Video: Language of Proposals, Video: Improving Proposals, Video: Describing Services, Part 1, Video: Edgewater Interview, Video: Describing Services, Part 2, Video: Negotiation Language, Video: Introduction to Persuasive Language
Video: Short Pitch and Rough Presentation, Video: A Bad Presentation and a Good Presentation, Video: What Makes a Good Presentation, Part 1, Video: What Makes a Good Presentation, Part 2, Video: Transitions and Conclusions, Video: Taking Questions Scenario, Part 1, Video: Answering Questions, Video: Taking Questions Scenario, Part 2
Video: Final Mini Business Plan and Presentation, Video: Farewell and Congratulations
Course: Architecting with Google Kubernetes Engine: Foundations em Português Brasileiro
Modules:
Base da introdução ao curso
Introdução, Computação em nuvem e Google Cloud, Gerenciamento de recursos, Faturamento, Como interagir com o Google Cloud, Introdução ao laboratório, Coursera: Primeiros passos com o Google Cloud Platform e o Qwiklabs, Solução do laboratório, Resumo
Introdução, Introdução aos contêineres, Contêineres e imagens de contêiner, Introdução ao laboratório, Solução do laboratório, Introdução ao Kubernetes, Introdução ao Google Kubernetes Engine, Opções de computação em detalhes, Resumo
Introdução, Conceitos do Kubernetes, Plano de controle do Kubernetes, Conceitos do Google Kubernetes Engine, Gerenciamento de objetos do Kubernetes, Introdução ao laboratório, Solução do laboratório, Introdução ao Migrate for Anthos, Arquitetura do Migrate for Anthos, Caminho de migração, Instalação do Migrate for Anthos, Resumo
Course: Ressources minérales et transition
Modules:
Introduction et présentation du mooc, Introduction à l'histoire des ressources minérales, Partie 1 : L’étain le cuivre et le bronze, Partie 2 : Le fer, le cuivre et l'acier, Partie 3 : Le soufre, Partie 4 :  Le nickel, Partie 5 - L’aluminium, Partir 6 : Conclusion, Partie 1 :  Ressources, gisements, Partie 2 : Gîtes, processus géologiques, Partie 3 : "Épuisement" des réserves ou nouvelles ressources ?
L'âge de la matière énergie de la rareté à l'abondance, Partie 1 : Criticité, une notion complexe et évolutive, Partie 2  Des tensions fortes…la géopolitique des ressources minérales, Partie 3 : Focus sur la chaîne industrielle du lithium, Partie 1 - La difficile intégration territoriale des projets miniers en France, Partie 2 - D’où vient l’or de nos smartphones ?
Partie 1 -  Croissance économique et extraction des ressources minérales, Partie 1 :  De l’économie linéaire à l’économie circulaire : l’exemple de l’acier, Partie 2 : L’économie circulaire : potentiel d’innovation pour les métaux de la transition, Partie 3 : Mines urbaines : Une solution pour répondre aux besoins des transitions énergétiques et numériques ?, Partie 1 - Penser cycle de vie, Partie 2 - Impact de l'extraction et du raffinage des métaux, Partie 3 - Impact du recyclage
Partie 1 - Transition et innovation, éléments de définition, Partie 1 - "Mine responsable": relocalisation et responsabilité environnementale du modèle minier, Partie 2 - Innovations technologiques et réduction des impacts de l’extraction minière, Partie 3 - Renouvellement territorial autours des projets miniers, Partie 2 : Nouvelles compétences pour les ingénieurs de demain, Partie 3 : Et en tant que citoyen ? Les élèves ingénieurs prennent la parole
Course: Mi Primer Empleo (MPE)
Modules:
Mi perfil de Egresado, Habilidades valoradas por el mundo del Trabajo, Cómo planificar mi futuro laboral, Características del Mundo del Trabajo
Siete tips para interpretar una oferta laboral, El curriculum vitae o carta de presentación, La visión estratégica del curriculum personal, Tips para elaborar Curriculum Vitae
La Entrevista de Trabajo, Preguntas en una entrevista de trabajo, El lenguaje no verbal
Internet entre lo Personal y lo Público
Course: Semiconductor Physics
Modules:
Semiconductor Devices Specialization Introduction, Course Introduction, Crystal Structures, Defects in Crystals, Crystal Growth, Formation of Energy Bands, Energy Band Structure, Semiconductor, Calculating atomic densities
Density of States, Carrier Statistics, Intrinsic Semiconductors, Extrinsic Semiconductors 1, Extrinsic Semiconductors 2
Currents in Semiconductor, Drift Current, Diffusion Current, Hall Effect
Radiative Transitions, Radiative Transition Rate, Non-Radiative Transitions 1, Non-Radiative Transitions 2, Continuity Equation, Quasi-Fermi Level, Heterogeneous Materials, Continuity equation example problem
Course: Comparative Research Designs and Methods
Modules:
Multi-dimensional substance matter, The plastic matter of social sciences, Linking levels of analysis, Mill's canons, Mill‘s methods: Pop's Seafood Platter, Mill's methods: limitations
Further advances, Overview, Major steps of research process, MSDO/MDSO application, Operationalizing similarities and dissimilarities, Analysis and interpretation
QCA Basics, QCA Analysis, Simple paper and pencil example, Troubleshooting Contradictions, Threshold setting, necessary and sufficient conditions, Multi-Value QCA (mv-QCA)
Fuzzy sets, Calculation of necessary and sufficient conditions, Fuzzy sets. Relationship between condition and outcome as in a triangular scatterplot, Principles, Lipset's conditions, Conclusions
Data, Examples, Regression analysis, Summary, Contrasting macro qualitative and quantitative methods, Continuing debates: prospects
Course: Team Software Engineering with AI
Modules:
Conversation between Laurence Moroney and Andrew Ng, Module introduction, Testing and debugging strategies, Exploratory testing, Functional testing, Automated Testing, Software performance testing, Security testing, Flask example walkthough (Optional), Analyzing code for security vulnerabilities
Module introduction, Principles of good documentation, Inline comments, Documentation comments, Automated documentation tools, Autodocs with Sphinx walkthrough (optional), Documentation in other coding languages, Documentation for life in production
Module introduction, Virtual environments, Researching dependencies, Dependency conflicts, Dependencies and security, Dependency management and other programming languages, Course conclusion
Course: 离散数学
Modules:
导论, “序”关系, 或者“宽”或者“高”（“长链”“长反链”）
组合计数导引：（单射）函数计数, 子集计数与阶乘, 二项式定理、多项式定理, 容斥原理
大O符号, 估值实例
基本定义、特殊图, 握手定理与图同构
欧拉图, 有向欧拉图与编码盘, 哈密顿图与Ore定理, Smith定理, Sperner引理
树的刻画, 有根树同构的判定, 树同构的判定, 完全图的生成树计数：Caley定理, 最小生成树算法
基本定义, 最大流量=最小割容量
Course: International Organizations Management
Modules:
Introduction from Tina Ambos and Gilbert Probst
Introduction by Julian Fleet, Early examples of international organizations, Historical context of international organizations, Taxonomy - Different ways to classify organizations, The UN Charter and basic principles, The UN governance system, The UN Security Council, ECOSOC and the Sustainable Development Goals, UN Secretariat and Secretary General
Introduction from Stephan Mergenthaler and Sebastian Buckup, Networks and Hierarchies, Global supply chains and production networks, Regional and plurilateral trade agreements, Global efforts to address climate change, Practical example - Combating deforestation, Internet history and cyber-security of nation states, Internet governance and global policy debates, Conclusion
Introduction and the strategic triangle, UN strategic alignment and creating space, Expectations of the Secretary-General, Authority of the Secretary-General in the UN Charter, Example: Dag Hammarskjöld on creating space, UN convening power and high-level panels, UN leadership through setting goals, UN leadership through data and bold visions, Introduction to Part 4 and 5, Four scenarios on the future of multilateralism, The UN's role in norms and global public goods, Conclusions
Introduction from Gilbert Probst and Lea Stadtler, What do we mean by Public Private Partnerships?, Why do international organizations engage in PPPs?, Sectoral strengths and differences in PPPs, Practical examples of PPPs in action, Partnership life cycle and operational model, Partnership governance structure, How to prepare and select suitable partners, The role of broker organizations in partnerships
Introduction from Claudia Romo Edelman, Building a marketing plan, Marketing plan example, Managing your brand, Branding - Octagon example, Fundraising, Fundraising - How to build a case for support, Media and communications, Media Tools - examples
Course: Medical Terminology I
Modules:
Specialization Introduction, Meet your professor
Why Study Medical Terminology?, Word Parts, Putting It All Together, Medical Records and Abbreviations
Integumentary - Intro and Word Parts, Integumentary - Subjective Terms, Integumentary - Objective Terms, Integumentary - Assessment Terms, Integumentary - Plan Terms
Musculoskeletal - Introduction and Word Parts, Musculoskeletal - Subjective Terms, Musculoskeletal - Objective Terms, Musculoskeletal - Assessment Terms, Musculoskeletal - Plan Terms
Urinary - Intro and Word Parts, Urinary - Subjective and Objective Terms, Urinary - Assessment and Plan Terms
Course Conclusion
Course: Tecnología musical con software libre: Proyecto final
Modules:
Introducción, Repaso de los cursos, Presentación del proyecto final
Publicación de materiales de audio y código
Ensambla tu proyecto, Despedida
Course: Feature Engineering
Modules:
Course introduction
Introduction, Feature Store benefits, Feature Store terminology and concepts, The Feature Store data model, Creating a Feature Store, Serving features: Batch and online
Introduction, Overview of feature engineering, Raw data to features, Good features versus bad features, Features should be known at prediction-time, Features should be numeric, Features should have enough examples, Bringing human insight, Representing features
Introduction, Machine learning versus statistics, Basic feature engineering, Coursera: Getting Started with Google Cloud Platform and Qwiklabs, Lab intro: Performing Basic Feature Engineering in BigQuery ML, Advanced feature engineering: Feature crosses, Bucketize and Transform Functions, Predict housing prices, Estimate taxi fare, Temporal and geolocation features, Lab intro: Basic Feature Engineering in Keras, Lab intro: Advanced Feature Engineering in Keras
Introduction, Apache Beam and Dataflow, Dataflow terms and concepts
Introduction, What is a feature cross, Discretization, Lab intro: TensorFlow Playground: Use feature crosses to create a good classifier, Lab intro: TensorFlow Playground: Too much of a good thing
Introduction, TensorFlow Transform, Analyze phase, Transform phase, Supporting serving
Summary, Resource: All quiz questions, Resource: All readings, Resource: All slides
Course: 인공 지능 데이터 공정성 및 편향
Modules:
강의 소개 영상, 모델 패리티: 균형 맞추기, 그룹 보호 및 개인 보호, 불완전한 모델링, 주간 복습
알고리즘의 알고리즘: 공정성을 향하여, 이론 테스트: 공정한 대출 심사, 공정성 배포: 실제 상황에서 편향 방지하기, 적대적 모델: Word2Vec, 주간 복습
고정관념에서 벗어나 편향 인지하기, 탐구 학습 세트 구축, 불완전한 모델링: 균형 찾기, 인적 요소: 게임 이론, 주간 복습
Course: Administración de las Tecnologías de la Información
Modules:
Bienvenida al curso, Prioridades competitivas, Gestión de procesos de negocio, Total Quality Management (TQM)
Introducción a la gestión de IT, Aplicaciones empresariales, Metodología de implementación de sistemas ERP
Sistemas para la toma de decisiones, Planes de carrera en IT, Ejemplos de acuerdos SLA
Course: 데이터 중심 기업을 위한 비즈니스 지표
Modules:
해당 전문화 정보, 소개
지표는 올바른 질문을 하는 데 유용합니다, 수익, 수익성 및 위험 지표 구분, 기존 지표와 동적 지표 구분, Egger’s Roast Coffee 사례 연구 1부 – 정의, Egger’s Roast Coffee 사례 연구 2부 – 수익성 있고 성장하는 회사가 파산하는 방법, 수익 지표 – 기존 기업 판매 퍼널, 수익 지표 - 동적 지표 사용의 선도적인 예 Amazon.com - 1부, 수익 지표 - 동적 지표 사용의 선도적인 예인 Amazon.com - 2부, 수익성/효율성 지표: 재고 관리, 수익성/효율성 지표: 호텔 객실 점유율 최적화, 위험 지표: 레버리지 및 평판 위험
빅 데이터와 관련된 역할 및 회사, 비즈니스 분석가, 비즈니스 분석가 Shambhavi Vashishtha와의 인터뷰, 비즈니스 데이터 분석가와 비즈니스 분석가 역할 구분, 비즈니스 데이터 분석가 Tiffany Yu와의 인터뷰, 데이터 과학자, 데이터 과학자 Dai Li와의 인터뷰, 수석 소프트웨어 엔지니어, 빅 데이터와 관련된 5가지 회사 유형 개요, 전통적인 전략 비즈니스 컨설팅, 오프라인 회사, Barnes and Noble 사례 연구, 전략적 비즈니스 컨설팅 - 소프트웨어/IT 시스템 통합 중점, 하드웨어 및 소프트웨어 회사, 디지털 회사
웹 마케팅 - 지표, 웹 마케팅 - 애드워즈 지표, 웹 마케팅 - 세분화, 금융 서비스 지표 - 자금 관리 및 투자, 다른 수익률의 동등성 – 샤프 비율, 4가지 유형의 자금 관리자와 그 성과 지표, 벤처 캐피탈 및 사모펀드 투자자
미리보기
Course: Evaluación del Aprendizaje en Escenarios Clínicos
Modules:
Bienvenida al curso, El educador clínico y sus roles en la realidad latinoamericana, Aprendizaje Centrado en el Paciente como propuesta de evaluación clínica, Entrevista Dr. Miguel Paniagua, Evaluación del Aprendizaje en Escenarios Clínicos
Observación directa, Uso de casos clínicos para la evaluación médica
Evaluación del aprendizaje y sus aspectos básicos, Principales aspectos de la evaluación
El papel de la realimentación en la evaluación clínica, Dominio del concepto de aprendizaje centrado en el paciente, Cierre del curso
Course: Response Surfaces, Mixtures, and Model Building
Modules:
Instructor Introduction, Course Introduction, More About Factorial and Fractional Factorial Designs, The 3^3 Design, The 3^k Factorial Design, Confounding, Fractional Replication of the 3^k Factorial Design, Factorials with Mixed Levels, Nonregular Fractional Factorial Designs, Use of an Optimal Design Tool, Syrup Loss Example, Unusual Blocking Example
Linear Regression Models, Properties of the Estimators, Regression Analysis of a 2^3 Factorial Design, Hypothesis Testing in Multiple Regression, Confidence Intervals in Multiple Regression, Regression Model Diagnostics, Viscosity Example
Response Surface Methodology, The Method of Steepest Ascent, Second-Order Models in RSM, Ridge Systems, Multiple Responses, Experimental Designs for Fitting Response Surfaces, Blocking in a Second-Order Design, The Adhesive Pull-Off Force Experiment, General Structure of a Definitive Screening Design with m Factors, Experiments with Computer Models, Mixture Experiments, Constraints, Chemical Process Example, Paint Formulation Example
Robust Design, Analysis of the Crossed Array Design, Combined Array Designs and the Response Model Approach, Semiconductor Manufacturing Example
Course: GenAI for Product Managers
Modules:
Introduction to GenAI for Product Managers, History & Background for GenAI and Product Managers, Demo for Product Idea Generation and Market Trend Analysis with ChatGPT, Remediating Risks and Ethical Concerns, Demo for Performing a Basic Scientific Research on the Use of Wearables for Healthcare with Bing Chat, Closing Thoughts: What’s Next
Course: Дизайн-мышление в инновационной деятельности
Modules:
Введение в дизайн-мышление, Что такое дизайн-мышление? Мнение экспертов, Компания The Good Kitchen, Инновации в бизнес-модели, Проблемы, которые лучше всего решать с помощью дизайн-мышления, Инструмент визуализации
Физика инноваций, История Джорджа и Джеффа, Насколько ваше мышление готово?, Инструмент повествования (сторителлинг)
Процесс создания идей, История MeYouHealth, часть I. Что есть?, История MeYouHealth, часть II. Что, если?, Инструмент создания ассоциативной схемы
Что может «зацепить» и как это работает?, История IBM, Инструмент тестового запуска, Обзор уроков, Стратегические возможности
Обзор итогового задания
Course: Deep Learning - Computer Vision for Beginners Using PyTorch
Modules:
Course Introduction, Why Is PyTorch Powerful?
What Is PyTorch
Installing PyTorch, Create Tensors in PyTorch, Tensor Slicing and Reshape, Mathematical Operations on Tensors, NumPy in PyTorch, What Is CUDA, PyTorch on GPU
AutoGrad in PyTorch, AutoGrad in a Loop
Building the First Neural Network, Writing a Deep Neural Network, Writing a Custom NN Module
Data Loading - CIFAR10, Data Visualization, CNN Recap, First CNN, CNN Deep Layers
LeNet Overview, LeNet Model in PyTorch, Preparation and Evaluation
Why Learn Any Programming Language, Why Choose Python, Installing Jupyter Notebook, Jupyter Notebook - Tips and Tricks, What We Will Cover in This Section, Variables in Python, Print Function, Numerical Data Types and Arithmetic Operations in Python, String Data Type, Boolean Data Type, Type Conversion and Type Casting, Adding Comments in Python Programming Language, Data Structures in Python, Tuples and Sets in Python, Python Dictionaries, Conditional Statements in Python - if, Conditional Statements in Python - While, Inbuilt Functions in Python - range and input, For Loops, Functions in Python, Classes in Python
Mini Project - Hangman, Writing a Class, Mini Project - Continued, Logic Building, Logic for Single-Letter input, Final Testing
NumPy, Resize and Reshape Arrays, Slicing, Broadcasting, Mathematical Operations and Functions in NumPy
Pandas Library, Pandas Dataframe, Pandas Dataframe - Load from External File, Working with Null Values, Slicing Pandas Dataframe, Imputation
Matplotlib Introduction, Format the Plot, Plot Formatting and Scatter Plot, Histplot
Course: Interactivity with JavaScript
Modules:
Introduction to JavaScript, DOM Review with Object Oriented Programming, Newer DOM Methods, Output, Variables, Data Types, Operators and Expressions
Functions, Code Placement, Folder Structure / Organizing Your Code, Events, Code With Me: Events, "this", Homework: JavaScript Interactive Photo Gallery
JavaScript Arrays, Code With Me: Arrays
Code With Me: Randomizing Your Images Using Arrays, Code With Me: Using Lightbox, Code With Me: Looping through Images, Final Project Description, Conclusion
Course: Leveraging AI for Enhanced Content Creation
Modules:
Welcome To The Course: Getting Started, The Rise of LLMs & Their Transformative Role in Modern Content Creation, Introduction to the Main Example: Crafting an Advertising Campaign, Overview of Generative AI & Microsoft 365 Copilot, The Power of AI in Scripting & Narrative Development with ChatGPT, Crafting Visual Prompts with Bing Chat for Image Creation, Refining & Reshaping the Narrative using AI Tools, The Future of Visual Content Creation with AI, Generating Images with Midjourney & Bing Chat Prompts (Part 1), Generating Images with Midjourney & Bing Chat Prompts (Part 2), Introduction to Runway: Transforming Images into Dynamic Videos (Part 1), Introduction to Runway: Transforming Images into Dynamic Videos (Part 2), The Changing Landscape of Voiceovers with AI, Crafting a Voiceover Script & Generating Voiceovers using Eleven Labs, Integrating Voiceovers & Video Created using Runway (Part 1), Integrating Voiceovers & Video Created using Runway (Part 2), Assembly & Integration of Content, Reflecting on the Power & Challenges of Integrated Generative AI Tools, Navigating Ethical Implications & Challenges of AI in Content Creation
Course: Computer Simulations
Modules:
What is this Specialization About?, Course Introduction, Theoretical Simulations, Modeling and Mapping, Extending Thoughts Computationally (Part 1), Extending Thoughts Computationally (Part 2), Schelling's Segregation Model (Part 1), Schelling's Segregation Model (Part 2), Reflecting on Schelling, Expanding on Schelling (Part 1), Expanding on Schelling (Part 2)
Introduction to Artificial Societies, Sugarscape, Sugarscape Components, Sugarscape 2, Sugarscape 3: Inequality (Part 1), Sugarscape 3: Inequality (Part 2), Sugarscape 4: Sex, Sugarscape 5: Inheritance, Sugarscape 6: Das Kapital, Sugarscape 7-10: Pressured to Move, Sugarscape 11-12: Sugar & Spice, Life on the Brink, The Generativist Motto
Computer Simulations Introduction, CSS for Your Choices, Code You Can Live By, Gambling High or Low, More Risk in Your Life!, Today's Questions, Agent-Based Emergence (Part 1), Agent-Based Emergence (Part 2), Social Bursts, Intuitive Presentation, Context Sensitivity, Probabilistic Humbleness
Introduction to Some Model Thinking, Four Model Outcomes (Part 1), Four Model Outcomes (Part 2), Analytical and Numerical, All Models Are Wrong, Occam's Razor, Science: Pure Creativity, Agent Based Models Lab Introduction, First Turtle, Moving Turtle, Communicating Turtles, Social Epidemiology, Conceptual Model, Changing People's Health, Computer Simulations of the Dead
Course: Recommender Systems
Modules:
Main recommender systems, Read data, measure accuracy, Principles of Collaborative Filtering
User-Based CF vs. Item-Based CF, Principles of matrix factorization, Matrix factorization algorithm
Introduction to Surprise package, Compare Algorithms and Set Options, Deep Learning Recommendation using Keras 2
Combination of CF and MF, Processing of large-scale data, Cold start, scalability, binary data
Course: Privacy in the USA
Modules:
Introduction, Why privacy matters: Privacy issues in the USA
Introduction and Franklin, Bill of Rights, Warren & Brandeis, Kennedy, Origins
Legal introduction, Constitution, Consumer protection laws, ISP laws
4th Amendment, Reasonable expectation of privacy, Consent and Third Party Principle, Automobile exception, Content & non-Content, Public and private
General, Privacy as economic good, Consumer protection elements, Notice and Choice
Correspondance, FISA, FISC & SCA, PATRIOT, FREEDOM, CLOUD, Privacy Shield
Final Examination
Course: Developing a Google SRE Culture - Español
Modules:
Introducción al curso
Introducción al módulo, DevOps y SRE
Introducción al módulo, Valor de la SRE, Análisis retrospectivos, No culpabilización y seguridad psicológica, SLO y porcentajes de error aceptables, Compartir la visión y el conocimiento
Introducción al módulo, Integración continua, entrega continua y versiones canary, Design thinking y prototipado, Trabajo repetitivo, Psicología del cambio
Introducción al módulo, Trabajo repetitivo y confiabilidad, Definición de objetivos
Introducción al módulo, Madurez organizacional, Habilidades y capacitación, Equipos de SRE, Primeros pasos
Cuaderno de ejercicios del estudiante, Recursos
Course: Technologies and platforms for Artificial Intelligence
Modules:
The IT perspective for AI, The hardware technologies for AI, Technological evolution and AI revolution
The IT architecture for AI on Cloud, Machine- and deep-learning-as-a-service, Hardware accelerators fueling AI
Computing anywhere: IoT and Edge for AI, AI for IoT, Edge AI
Challenges and opportunities, Case Study: Technology Provider, Case Study: End User