dipopotamus/custom_instruct_coursera_course_module_list huggingface dataset:
Course: Cloud: Infrastructure as a Service - Master's
Modules:
Course Overview, Instructor Introduction, Module 1 Introduction, Cloud Terminology Pt.1, Cloud Terminology Pt.2, Key Components of IaaS Pt.1, Key Components of IaaS Pt.2, Comparing Key IaaS Providers Pt.1, Comparing Key IaaS Providers Pt.2, Comparing Key IaaS Providers Pt.3, Creating an AWS Account
Module 2 Introduction, Virtualization Pt.1, Virtualization Pt.2, Understanding Virtual Machines in the AWS Console, Networking, Introducing the Virtual Private Cloud, Networking in the Cloud, Storage Pt.1, Storage Pt.2, S3 Storage in AWS
Module 3 Introduction, Principles of DevOps Pt.1, Principles of DevOps Pt.2, AWS CloudFormation, Serverless Computing, Serverless Computing using AWS Lambda, CI/CD Pipelines, CI/CD and Tools like Jenkins
Module 4 Introduction, Planning a Cloud Migration Pt.1, Planning a Cloud Migration Pt.2, Planning a Cloud Migration Pt.3, Using Tools to Migrate Data to the Cloud, Pricing Models Pt.1, Pricing Models Pt.2, Using the AWS Pricing Calculator, Setting up an AWS Budget, Connecting to the Cloud
Module 5 Introduction, Monitoring and Logging, AWS Cloudwatch, Managing IaaS Pt.1, Managing IaaS Pt.2, Management using AWS Tools, Exploration of AWS Management Tools in the Console, AWS Cost Analysis
Module 6 Introduction, Managing Security Pt.1, Managing Security Pt.2, Identity and Access Management in AWS, Shared Responsibility Pt.1, Shared Responsibility Pt.2, Exploring AWS Shared Responsibility Model, AWS Artifact, Threats to IaaS, Threats Exclusive to IaaS
Module 7 Introduction, Using IaaS in DR and BCP Scenarios - Pt.1, Using IaaS in DR and BCP Scenarios - Pt.2, Disaster Recovery Concepts - Pt.1, Disaster Recovery Concepts - Pt.2, AWS Availability Zones and Regions, DR Concepts using AWS, Resiliency in IaaS - Pt.1, Resiliency in IaaS - Pt.2
Module 8 Introduction, Cloud Native Applications, Using IaaS to Solve Business Problems, Exploring Customer Success Stories with AWS, Benefits of Migrating Workloads to the Cloud
Summative Course Assessment
Course: Mind of the Universe - Genetic Privacy: should we be concerned?
Modules:
How to succeed in your online class?, Introduction: Why should we talk about genetic privacy?, Course Introduction, Genetic data: Practices of disclosure
Introduction: What is genetic privacy?, What is genetic privacy?
How can art enrich the debate around genetic privacy? - Intro, How can art enrich the debate around genetic privacy?, Art as a space for disruption - Intro, Art as a space for disruption
Stakeholder Concerns, Podcast CEO of Hartwig Medical Foundation, Podcast Patient, Podcast Mother of three, Podcast Professor of digital cultures
How to move into a genetic future?, Webinar Recording: Policy Recommendations
Course: Perspective-Taking
Modules:
Welcome to Perspective-Taking!
Practice the solution: Disciplined listening, Infographic: The ladder of inference, Taking others into consideration: Key Takeaways
Practice the solution: Appealing to another’s perspective, Infographic: Asserting control over your calendar, Building a sense of understanding: Key Takeaways
Practice the solution: Evaluate a situation using game theory, Infographic: Tactics for overcoming disadvantages, Thinking in someone else’s shoes: Key Takeaways
Final Thoughts
Course: Planning & Design of Sanitation Systems and Technologies
Modules:
1.1 Course Overview, 1.2 Sanitation within Urban Challenges, 1.3 Introduction to CWIS, 1.4 Local Level Sanitation Planning [1], 1.5 Local Level Sanitation Planning [2], 1.6 Case study: Towards CWIS - Kampala, Uganda, 1.7 Case study: Towards CWIS - Lusaka, Zambia, 1.8 Case study: Towards CWIS - Kathmandu, Nepal, 1.9 Case study: Towards CWIS - Dhaka, Bangladesh, 1.10 Case study: Towards CWIS - Abidjan, Côte d'Ivoire, 1.11 Spotlight video - A Sanitation Journey, 1.12 SDG Baselines - Sanitation Services
2.1 Introduction to the Compendium, 2.2 Sanitation Products, 2.3 Functional Groups, 2.4 User Interface Technologies, 2.5 Collection and Storage/Treatment - Single Pit Technologies, 2.6 Collection and Storage/Treatment - Double Pit Technologies, 2.7 Collection and Storage/Treatment - Anaerobic Technologies, 2.8 Conveyance - Container-based Technologies, 2.9a Conveyance - Sewer-based Technologies, 2.9b Conveyance - Condominial Sewerage Systems, 2.10 Summary Week 2, 2.11 Spotlight Video - Advancements in and Integration of Water, Sanitation and Solid Waste
3.1 [Semi] Centralized Treatment - Treatment stages, 3.2 [Semi] Centralized Treatment - Anaerobic Technologies, 3.3 [Semi] Centralized Treatment - Aerobic Technologies, 3.4 [Semi] Centralized Treatment - Technologies for Sludge Treatment, 3.5 Use and/or Disposal - Agricultural Use as Fertilizer and Soil Conditioner, 3.6 Use and/or Disposal - Effluent and other Products, 3.7 Introduction to Sanitation Systems, 3.8 Waterless Pit-based Systems, 3.9 Decentralized Water-based Systems, 3.10 Black Water Transport Systems, 3.11 Spotlight Video - Comparative Analysis of Sanitation Systems for Resource Recovery
5.1 Introduction to Global Case Studies, 5.2 Nala, Nepal -  Implementing CLUES, 5.3a Erdos, China - An Eco-town Pilot Project [1], 5.3b Erdos, China - An Eco-town Pilot Project [2], 5.4 Lusaka, Zambia - Sanitation Service Delivery through Fecal Sludge Management
Course: Mathematical Biostatistics Boot Camp 1
Modules:
Welcome to the Course, Biostatistics and Experiments, Set Notation and Probability, Probability, Random Variables, PMFs and PDFs, CDFs, Survival Functions, and Quantiles, Expected Values, Rules About Expected Values, Variances and Chebyshev's Inequality, Random Vectors and Independence, Correlation, Variance Properties and Sample Variance
Conditional Probabilities and Densities, Bayes' Rule and DLRs, Likelihood, Bernoulli Distribution and Binomial Trials, The Normal Distribution, Limits and LLN, CLT and Confidence Intervals
Confidence Intervals and CI for Normal Variance, Student's t Distribution and CI for Normal Means, Profile Likelihoods, T Confidence Intervals, Plotting, The Jackknife, Bootstrapping
Binomial Proportions Part A, Binomial Proportions Part B, Logs
Course: Trust and Security with Google Cloud
Modules:
Course introduction
Introduction, Key security terms and concepts, Cloud security components, Cloud security versus traditional on-premises security, Cybersecurity threats
Introduction, Data centers, Secure storage, Identity, Network security, Security operations
Introduction, The Google Cloud Trust Principles and Transparency Reports, Data residency and data sovereignty, Industry and regional compliance
Course summary
Course: Negotiation Strategies and Styles
Modules:
Negotiation Styles, Negotiation Tactics
Negotiation Preparation, Agreement Implementation
Cultural Diversity and Negotiation, International Negotiations
Complex Negotiations, Best Practices in Negotiation
Course: Medical Terminology III
Modules:
Course Introduction
Nervous - Intro and Word Parts, Nervous - Subjective Terms, Nervous - Objective Terms, Nervous - Assessment Terms, Nervous - Plan Terms
Sensory - Intro and Word Parts, Sensory - Subjective Terms, Sensory - Objective Terms, Sensory - Assessment Terms, Sensory - Plan Terms
Digestive - Intro and Word Parts, Digestive - Subjective Terms, Digestive - Objective Terms, Digestive - Assessment Terms, Digestive - Plan Terms
Male Reproductive - Intro, Word Parts, and SOAP Terms, Female Reproductive - Intro and Word Parts, Female Reproductive - SOAP Terms
Specialization Conclusion
Course: Pattern Discovery in Data Mining
Modules:
Course Introduction
1.1. What Is Pattern Discovery? Why Is It Important?, 1.2. Frequent Patterns and Association Rules, 1.3. Compressed Representation: Closed Patterns and Max-Patterns, 2.1. The Downward Closure Property of Frequent Patterns, 2.2. The Apriori Algorithm, 2.3. Extensions or Improvements of Apriori, 2.4. Mining Frequent Patterns by Exploring Vertical Data Format, 2.5. FPGrowth: A Pattern Growth Approach, 2.6. Mining Closed Patterns
3.1. Limitation of the Support-Confidence Framework, 3.2. Interestingness Measures: Lift and χ2, 3.3. Null Invariance Measures, 3.4. Comparison of Null-Invariant Measures, 4.1. Mining Multi-Level Associations, 4.2. Mining Multi-Dimensional Associations, 4.3. Mining Quantitative Associations, 4.4. Mining Negative Correlations, 4.5. Mining Compressed Patterns
5.1. Sequential Pattern and Sequential Pattern Mining, 5.2. GSP: Apriori-Based Sequential Pattern Mining, 5.3. SPADE—Sequential Pattern Mining in Vertical Data Format, 5.4. PrefixSpan—Sequential Pattern Mining by Pattern-Growth, 5.5. CloSpan—Mining Closed Sequential Patterns, 6.1. Mining Spatial Associations, 6.2. Mining Spatial Colocation Patterns, 6.3. Mining and Aggregating Patterns over Multiple Trajectories, 6.4. Mining Semantics-Rich Movement Patterns, 6.5. Mining Periodic Movement Patterns
7.1. From Frequent Pattern Mining to Phrase Mining, 7.2. Previous Phrase Mining Methods, 7.3. ToPMine: Phrase Mining without Training Data, 7.4. SegPhrase: Phrase Mining with Tiny Training Sets, 8.1. Frequent Pattern Mining in Data Streams, 8.2. Pattern Discovery for Software Bug Mining, 8.3. Pattern Discovery for Image Analysis, 8.4. Advanced Topics on Pattern Discovery: Pattern Mining and Society—Privacy Issue, 8.5. Advanced Topics on Pattern Discovery: Looking Forward
Course: Supervised Learning and Its Applications in Marketing
Modules:
Course Intro video, Major Challenges Marketers Face Today, Introduction to Machine Learning for Marketing, Concepts for Machine Learning in Marketing, Introduction to Supervised Learning in Marketing
Problem Workflow for Supervised Learning and Its Techniques, Key Performance Indicators and Visualizations, Drivers Behind Marketing Engagement, Decision Trees
Graded Quiz: Supervised Learning in Marketing
From Engagement to Conversion, Interpreting Decision Trees, Importance of Product Analytics, Product Analytics Using Python
Product Recommender System, Collaborative Filtering, Building Product Recommendation Engine Using Python, Item-Based Collaborative Filtering and Recommendations
Graded Quiz: Deriving Insights from Data and Product Recommender System
Understanding Customer Behavior, Conducting Customer Analytics with Python, Predictive Analytics in Marketing, Predicting the Likelihood of Marketing Engagement Using Python
Customer Lifetime Value, Evaluating Regression Models, Predicting the Three-Month CLV with Python: Part I, Predicting the Three-Month CLV with Python: Part II
Graded Quiz: Personalized Marketing and Customer Lifetime Value
Customer Retention, Artificial Neural Networks (ANNs), Predicting Customer Churn with Python: Part I, Predicting Customer Churn with Python: Part II
Real-Life Challenges in Applying Supervised Learning Models, Standardized Framework for Success, Industry Views on AI strategy, Future Scope
Course Wrap-Up Video
Course: Generative AI for Keyword Research
Modules:
Welcome to the Course
Generative AI and Its Application to Keyword Research, The Challenges of SEO and Keyword Research
Keyword Research Strategies With AI (Part I), Keyword Research Strategies With AI (Part II), Hands-On Activity: Use AI to Generate and Optimize Your Keywords
Course: Clean Code Basics: How to Write Maintainable Code
Modules:
Clean Code Graded Quiz
Course: Toma de decisiones financieras
Modules:
Bienvenida
Resumen Finanzas y Estados Financieros, Resumen Gobierno Corporativo, Resumen Información Financiera, Resumen Razones Financieras
Resumen Matemáticas Financieras (parte 1), Resumen Matemáticas Financieras (parte 2), Proyecciones Financieras (parte 1), Proyecciones Financieras (parte 2), Proyecciones Financieras. Caso
Resumen Indicadores Económicos, Resumen Financiamiento, Resumen Evaluación Económica, Resumen Estados Financieros Proyectados y Proforma
Resumen Estructura de Capital (parte 1), Resumen Estructura de Capital (parte 2)
Resumen Valuación (parte 1), Resumen Valuación (parte 2), Despedida
Course: Connect and Protect: Networks and Network Security
Modules:
Introduction to Course 3, Welcome to module 1, Chris: My path to cybersecurity, What are networks?, Tina: Working in network security, Emmanuel: Useful skills for network security, Network tools, Cloud networks, Introduction to network communication, The TCP/IP model, The four layers of the TCP/IP model, IP addresses and network communication, Wrap-up
Welcome to module 2, Network protocols, Antara: Working in network security, Wireless protocols, Firewalls and network security measures, Virtual private networks (VPNs), Security zones, Proxy servers, Wrap-up
Welcome to module 3, The case for securing networks, Matt: A professional on dealing with attacks, Denial of Service (DoS) attacks, Malicious packet sniffing, IP Spoofing, Wrap-up
Welcome to module 4, Security hardening, OS hardening practices, Network hardening practices, Network security in the cloud, Kelsey: Cloud security explained, Wrap-up, Course wrap-up
Course: Gemini for DevOps Engineers - 日本語版
Modules:
DevOps エンジニア向け Gemini の紹介, Gemini でマイクロサービスを簡単に
Course: Exploring and Preparing Your Data with BigQuery - Português
Modules:
Introdução à série de cursos
Desafios da análise de dados ​enfrentados pelos ​profissionais ​da área, Big ​Data ​no local​versus ​na ​nuvem, Casos de ​uso reais, ​Fundamentos dos ​projetos do ​Google ​Cloud
Tarefas e desafios de analistas de dados e ferramentas de dados do Google Cloud, 9 recursos ​​fundamentais do ​BigQuery, Tutorial: diagrama de arquitetura de dados, Ferramentas ​do ​Google Cloud ​para analistas, ​cientistas ​e ​engenheiros de ​dados, Coursera: Como começar a usar o Google Cloud Platform e o Qwiklabs
Introdução ao conjunto de dados de e-commerce do Google Analytics, Técnicas comuns de análise detalhada dos dados, Noções básicas sobre consultas, Introdução às funções, Filtros, agregados e cópias, Tipos de dados, funções de dados e NULLs, Filtros de caracteres coringa com LIKE
Jobs do BigQuery, Tamanho e gerenciamento de custos, Otimize ​o ​custo das ​consultas
​5 ​princípios para ​manter a ​integridade do ​conjunto de dados, Forma e ​desvio do ​conjunto de ​dados, Limpeza ​e ​transformação ​de dados ​usando ​SQL, Limpeza ​e ​transformação ​de dados ​usando ​uma ​nova ​interface: ​Introdução ao ​Dataprep, Componentes do Data Fusion, Crie um pipeline, Faça uma análise detalhada dos dados com o Wrangler
Resumo do curso
Course: Fundamentos de las Ventas y el Marketing con Goldman Sachs 10,000 Women
Modules:
Bienvenida, Identificar las herramientas de marketing adecuadas para tu negocio, Introducción al proceso de ventas, Comprensión de la función de los paquetes estadísticos
Course: Principles of Computing (Part 2)
Modules:
Introduction, The Importance of Searching, Generators, Stacks and Queues, Inheritance, Grid Class, Grid search, Mini-project Video, CodeSkulptor  (optional video from our previous class), Saving in CodeSkulptor  (optional video from our previous class), Beyond CodeSkulptor  (optional video from our previous class)
The Importance of Recursion, Recursion, Binary Search, Visualizing Recursion, Recurrences, Reading Files, Mini-project Video
The Importance of Trees, Lambda, Trees, Illustration of Trees, Minimax, Mini-project Video
The Importance of Modeling, Assertions, Invariants, Modeling, Software Development, Mini-project Video, What is Algorithmic Thinking?
Course: Sistemas y modelos de organización de la atención en salud
Modules:
Bienvenida e introducción, Clase: Gobernanza en Salud para el logro de los Objetivos Sanitarios, Clase: Gobernanza en Salud: bases de la organización del sistema sanitario y temas emergentes, Clase: El objetivo de cobertura universal a nivel nacional y global, y su relevancia para la equidad en salud, Clase: Bases generales de un sistema de salud
Clase: Los componentes básicos o "building blocks" de los sistemas de salud I, Clase: Los building blocks de los sistemas de salud II, Clase: Sistemas de salud comparados I, Clase: Sistemas de salud comparados II
Clase: El modelo de atención y las organizaciones sanitarias prestadoras, Clase: El sistema prestador de salud y los desafíos en eficiencia y calidad, Clase: Organizaciones sanitarias integradas o RISS I, Clase: Organizaciones sanitarias integradas o RISS II
Clase: La "industria" de la salud y las decisiones de los agentes involucrados: bases de la necesidad de regulación, Clase: Fallas del sector salud desde la perspectiva de un "mercado": razones para su regulación I, Clase: Fallas del sector salud desde la perspectiva de un "mercado": razones para su regulación II, Clase: Desafíos del sector sanitario
Course: Operational Risk Management: Frameworks & Strategies
Modules:
Welcome to the Course, Learning Objectives
Lesson 01: What is Operational Risk and How is it Managed?, Lesson 2: Operational Risk  as a Discipline
Lesson 1: Risk and Control Self-Assessment (RCSA), Lesson 2: Key Risk Performance and Control Indicators, Lesson 3: Risk-based Business Process Management
Lesson 1: Risk Event Data Collection, Lesson 2: Capital Requirements, Lesson 3: Scenario Analysis
Lesson1: Operational Risk Framework, Lesson 2: Operational Risk Corporate Governance, Benefits of Operational Risk Governance
Congratulations
Course: Introduction to Customs and Foreign Trade Policy
Modules:
Introduction to the module, Key definitions under Customs, Import and Export - Documentation and Procedure, Key concepts under Customs, Customs duty calculation and exemptions, Other concepts under Customs, Key takeaways
Introduction to the module, Overview of Foreign Trade Policy 2023, General provisions for import/export, Duty Exemption/Remission Schemes, Export Promotion Capital Goods (EPCG) Scheme, District export hubs and other highlights of FTP 2023, Key takeaways
Course: Disability Awareness and Support
Modules:
About the Course, What is a Disability?, Legislation, Obtaining Services, Dr. Cooper - What was your experience in college before the ADA was passed?, Dr. Cooper - How can administrators improve the academic environment for students with disabilities?, Jonathan - What assumptions do other students make about your abilities?, Brandon - What would you like other students to know about living with a disability?, Jonathan - What do you wish you’d known when you went to college?, Dr. Seelman - How can faculty learn more about students with disabilities?, Dr. Seelman - What can be done beyond the Disability Services Office to support students with disabilities on campus?, Dr. Seelman - How does the UN convention impact the ratifying countries regarding higher education?, Director Culley - What is the process a student with disabilities goes through with Disability Services?, Director Culley - What role do instructors play in helping students with disabilities?
Accommodations, Testing Center Accommodations, Assistive Technology, Screen Reader Demonstration, Jonathan - What was your experience with the level of support at your institution?, Brandon - Have faculty been understanding of your need for accommodations?, Brandon - How was beginning your undergraduate years different from going to graduate school?, Jonathan - How does assistive technology help your in day-to-day activities?, Bobby - What types of accommodations have faculty made for you and what do you think could be improved?, Dr. Cooper - How do assistive technologies impact education?, Director Culley - Who determines reasonable accommodations for students with disabilities?
Universal Design for Learning, Document Design, Dr. Seelman - How are web accessibility standards related to students with disabilities?, Dr. Cooper - How can administrators improve the academic environment for students with disabilities?, Director Culley - Who is responsible for making emerging technology accessible to students with disabilities?
Case Study: Accommodations for Student with Concussion, Case Study: Deafness, Case Study: Ethics, Case Study: Low Vision, Post Course Survey
Course: English for Developing a Business
Modules:
Meet Your Teachers, Word Forms & Suffixes, Measurements
Business Phone Calls, Nonverbal Communication, Small Talk
Gerunds
Conversation at a Trade Show, Making a Presentation with a Slideshow, Comparative & Superlative Adjectives
Course: Digital Signal Processing 4: Applications
Modules:
4.1.1.a Notation and key concepts, 4.1.1.b Image manipulations, 4.1.2 Frequency analysis, 4.1.3.a 2D Filters, 4.1.3.b Classic Filters for Images, 4.1.4.a Image compression, 4.1.4.b The JPEG compression algorithm, Signal of the Day: Moire Patterns
4.2.1.a The success factors for digital communications, 4.2.1.b The analog channel constraints, 4.2.1.c The design problem, 4.2.2.a Upsampling, 4.2.2.b Fitting the transmitter spectrum, 4.2.2.c Noise and probability of error, 4.2.2.d PAM and QAM, 4.2.3.a Modulation and demodulation, 4.2.3.b Design example, 4.2.3.c Receiver design, 4.2.3.d Delay compensation, 4.2.3.e Adaptive equalization, 4.2.4.a ADSL design, 4.2.4.b Discrete multitone modulation
Breakout board assembly, Wiring up everything, Oscilloscope overview, analog mode, Oscilloscope overview, digital mode
Course: Getting Started with Apache Cassandra
Modules:
Course Overview, Databases Basics - Part 1, Databases Basics - Part 2, Databases Basics - Part 3, Cassandra Basics - Part 1, Cassandra Basics - Part 2, Data Model Part 1, Data Model Part 2, Storage Model: Introduction Part 1, Storage Model: Introduction Part 2, Storage Model: Read-Write Process Part 1, Storage Model: Read-Write process Part 2
Architecture: Introduction Part 1, Architecture: Introduction Part 2, Architecture: Introduction Part 3, Architecture: Services Part 1, Architecture: Services Part 2, Cassandra Query Languages: Basics Part 1, Cassandra Query Languages: Basics Part 2, Cassandra Query Languages: More Commands Part 1, Cassandra Query Languages: More commands Part 2, Demo: CQL Basics, Demo: CQL More commands
Security - Part 1, Security - Part 2, Security - Part 3, Deployment - Part 1, Deployment - Part 2, Deployment - Part 3, Demo: Deployment, Maintenance - Part 1, Maintenance - Part 2, Maintenance - Part 3, Demo: Maintenance, Demo: Monitoring
Course: Azure Infrastructure Fundamentals
Modules:
Azure Infrastructure Fundamentals Introduction, Getting Started
Azure Subscriptions and Resource Groups, Subscriptions, Resource Groups and Resource Manager, Managing Resources, Connecting to Resources and the Resource Manager Flow, Permissions and Roles, Azure Monitor, Metrics and Azure Logs, Azure Logs Structure and Metrics vs Logs, Application Tiers, Creating and Analyzing Metrics and Alerts, Managing Alerts, Diagnostic Settings and Logs, Log Analytics and Summary
RBAC and Best Practices, RBAC and Security Principals, Role Definition and Built-In Roles, Scope and Role Assignments, Configuring Access to Azure Resources, Azure Resource Demo, Creating Custom Roles, Azure Policy and Security, Azure Policy Definition, Constraints, and Recommendation, Azure Policy Demo and Summary
Azure AD, Users, Groups, and Guest Accounts, SSPR and Azure AD Join, Managing Device Settings and Adding Custom Domains, Lesson 2 - Azure AD Connect, Azure AD Connect Express Setup and Management, Password Writeback and Azure AD Connect Custom Install, Password Sync, Multi-Factor Authentication (MFA), Enabling MFA for an Azure AD Tenant, Configuration and Summary
Azure Storage Accounts, Types of Storage Accounts, Replication, RPO and RTO with GRS, Encryption, Endpoints, and Copying Data, Storage Account Demo, Azure Storage Explorer, Configuration, Storage Account Name, and Key, Data Lake Storage Gen2, Blob Storage Resources and Containers, Azure Data Box Disk, Azure Data Box, Azure Data Box Heavy, Azure Import/Export Service, CDN (Content Delivery Network), Azure File Shares, Data Security, Azure File Sync Service Overview, Azure File Sync Configuration, Azure Backup Overview, Azure Backup Configuration, Azure Backup Server, Azure Site Recovery Overview, Migration, Module Summary
Azure VNETs, User Defined Routes (UDR) and VNet Peering, Service Chaining and VNET Demo, VPNs, VPNs and VNET-to-VNET Configuration, Network Watcher, Diagnostics, Diagnostics Continued, Metrics and Logs, Network Security Groups (NSG), Azure DNS, Public and Private DNS Zones, Azure Load Balancer, Azure Traffic Manager, Azure Front Door, Azure Application Gateway and WAF, Module Summary
Azure Virtual Machines, What Do You Need to Know about VMs?, VM Series and Sizes, Linux VMs, Windows VM Demo, Linux VM Demo, Availability Sets, VM Scale Sets, Availability Sets vs. VMSS and Demos, ARM Templates, Managing VMs, Managing VMs Demo, Azure Backups for VMs, Azure Backup Demo and Summary, Farewell and What's Next
Azure Fundamentals - Final Exam
Course: Sports and Building Aerodynamics
Modules:
Advertisement movie, Introduction mov, 1.1: Fluid properties - Part 1, 1.2: Fluid properties - Part 2, 1.3: Fluid properties - Part 3, 1.4: Flow properties - Part 1, 1.5: Flow properties - Part 2, 1.6: Fluid statics, kinematics, dynamics, 1.7: Boundary layers - Part 1, 1.8: Boundary layers - Part 2, 1.9: Boundary layers - Part 3, 1.10: The atmospheric boundary layer
2.1: Why wind-tunnel testing?, 2.2: Wind-tunnel types and applications, 2.3: The atmospheric boundary layer wind tunnel, 2.4: Wind-tunnel components, 2.5: Measurements and flow visualisation, 2.6: Similarity and flow quality, 2.7: Best practice guidelines
3.1: What, why and how?, 3.2: Approximate forms of the Navier-Stokes equations, 3.3: Turbulence modeling, 3.4: Some aspects of discretization, 3.5: Near-wall modeling, 3.6: Errors and uncertainty, verification and validation, 3.7: Best practice guidelines, 3.8: Computational Wind Engineering - part 1, 3.9: Computational Wind Engineering - part 2
4.1: Wind flow around buildings - part 1, 4.2: Wind flow around buildings - part 2, 4.3: Pedestrian-level wind conditions around buildings - part 1, 4.4: Pedestrian-level wind conditions around buildings - part 2, 4.5: Pedestrian-level wind conditions around buildings - part 3, 4.6: Natural ventilation of buildings, 4.7: Wind-driven rain on building facades - part 1, 4.8: Wind-driven rain on building facades - part 2, 4.9: Wind energy in the built environment - part 1, 4.10: Wind energy in the built environment - part 2
5.1: Why study sprint aerodynamics?, 5.2: Mathematical-physical model of running, 5.3: Wind effects, 5.4: Altitude effects, 5.5: Stadium aerodynamics and sprint records, 5.6: Interview with a professional athletics coach
6.1: Why study cycling aerodynamics?, 6.2: Wind-tunnel testing for a single cyclist - part 1, 6.3: Wind-tunnel testing for a single cyclist - part 2, 6.4: CFD simulations for a single cyclist, 6.5: Aerodynamics of two drafting cyclists, 6.6: Aerodynamics of drafting cyclist groups, 6.7: Aerodynamics of car-cyclist combinations, 6.8: Interview with two professional cycling coaches, Short movie with bloopers
Final quiz
Critical review of a scientific article
Course: 网络游戏设计与开发毕业项目
Modules:
毕业项目：慕课英雄3简介, 毕业项目与专项课程知识点联系, 毕业项目：慕课英雄3效果展示, 授课单位与教师介绍, 学生情况调研表, 游戏说明书和敏捷开发方法, 游戏后台服务PlayFab介绍, 游戏后台服务PlayFab介绍 — 演示环节
PlayFab与网络游戏账号, PlayFab与网络游戏账号 — 演示环节, PlayFab与网络游戏货币, PlayFab与网络游戏货币 — 演示环节, PlayFab与网络游戏商城, PlayFab与网络游戏商城 — 演示环节
PlayFab与玩家排行榜, PlayFab与玩家排行榜 — 演示环节, PlayFab与玩家成就系统, PlayFab与玩家成就系统 — 演示环节, PlayFab与玩家天赋系统, PlayFab与玩家天赋系统 — 演示环节
新游戏模式：古墓夺宝战, 新游戏模式：古墓夺宝战 — 演示环节, 古墓夺宝战的游戏逻辑实现, 古墓夺宝战的游戏逻辑实现 — 演示环节
新模式的多人游戏同步, 场景对象的管理与同步, 场景对象的管理与同步 — 演示环节, 新模式怪物AI及宝物车控制设计, 新模式怪物AI及宝物车控制设计 — 演示环节
游戏数据分析与数值平衡概论, 游戏数据分析及工具使用, 游戏数据分析及工具使用 — 演示环节, 游戏中的数值平衡
慕课英雄3的完善与发布
毕业项目：慕课英雄3总结, 《网络游戏设计与开发》专项课程总结
Course: Advanced Machine Learning Algorithms
Modules:
Introduction to the course, Introduction to Problem Statement, Division of the dataset, Overfitting and Underfitting, Introduction To The Apex Dataset, L1 Regularization, L2 Regularization, Elastic Net Regularization, Fine-Tuning Logistic Regression, L1 Regularization, L2 Regularization, Elastic Net Regularization
Understanding Ensemble Learning, Introducing Bagging Algorithms, Hands-on to Bagging Meta Estimator, Introduction to Random Forest, Understanding Out-Of-Bag Score, Random Forest VS Classical Bagging VS Decision Tree
Introduction to Boosting, AdaBoost Step-by-Step Explanation, Hands-on - AdaBoost, Gradient Boosting Machines (GBM), Hands-on Gradient Boost, Other Algo (XGBoost, LightBoost. CatBoost)
Introduction to Feature Engineering and  Hyperparameter Tuning, Spliting the dataset, Feature Transformation, Feature Generation, Feature Seletion, Introduction to  Hyperparameter and Grid Search CV, Grid Search CV, Random Search CV, Bayesan Optimization, Bayesian Optimization in synergix dataset
Introduction to the module, Understanding Voting, Leveraging the Voting, Understanding Stacking  ensemble learning, Understanding Hold out Method/Blending
The Stepping Stones in Model Selection, Factors to Consider While Selecting a Model
Course: Human Resources Analytics
Modules:
HR Metrics Lifecycle
Staffing, Training and Total Rewards
Employee Relations & the Overall HR Organization
Building Your Business Case and Creating Action
Course: Sécurité des TI : Défense contre les pratiques sombres du numérique
Modules:
Introduction au cours, La triade de la CIA, Termes essentiels en matière de sécurité, Logiciels malveillants, Maliciel, suite, Attaques de réseau, Déni de service, Attaques côté client, Attaques par mot de passe, Attaques trompeuses
Cryptographie, Cryptographie symétrique, Algorithmes de chiffrement symétrique, Découvrir ce que fait un ingénieur en sécurité, Cryptographie asymétrique, Algorithmes de chiffrement asymétriques, Hachage, Algorithmes de hachage, Algorithmes de hachage (suite), Infrastructure à clé publique, La cryptographie en action, Sécurisation du trafic réseau, Matériel cryptographique, Rejet
Bonnes pratiques en matière d'authentification, Authentification multifacteur, Certificats, LDAP, RADIUS, Kerberos, TACACS+, Ouverture de session unique, Le parcours de Rob vers les TI, Méthodes d'autorisation et de contrôle d'accès, Contrôle d'accès, Liste de contrôle d'accès, Suivi de l'utilisation et de l'accès, Compétences importantes de Rob en matière de sécurité
Meilleures pratiques de renforcement du réseau, Renforcement du matériel réseau, Renforcement des logiciels réseau, Obstacle personnel de Joe, Le cryptage WEP et les raisons pour lesquelles vous ne devriez pas l'utiliser, Débarrassons-nous du WEP! WPA/WPA2, Renforcement des réseaux sans fil, L'ingénierie sociale de Heather, Renifler le réseau, Wireshark et tcpdump, Systèmes de détection/prévention des intrusions
Introduction à la défense en profondeur, Désactivation des composants inutiles, Pare-feu basé sur l'hôte, Journalisation et audit, Protection contre les logiciels malveillants, Chiffrement du disque, Heather Auto-apprentissage, Gestion des correctifs logiciels, Politiques d'application
Objectifs de sécurité, Mesurer et évaluer les risques, Politique de confidentialité, Habitudes de l’utilisateur, Sécurité d’un tiers, Formation à la sécurité, Histoire d’Alex Grit, Création de rapports et analyse des incidents, Réponse aux incidents et reprise, Sécurité mobile et confidentialité, Entretien avec Amir, Entretien avec Ari, Jeu de rôle sur l’entrevue d’embauche : Sécurité, Évaluation finale, Impliquez-vous, Félicitations!
Course: Reproducible Templates for Analysis and Dissemination
Modules:
Welcome and an Introduction to the Course, Welcome to Week 1!, History and Importance of Reproducibility, Dynamic Documentation and Literate Programming, Components and Examples of Reproducibility, R and RStudio Introduction, Git and Github - Part 1, Git and Github - Part 2, Git and Github - Part 3, Creating Your First Document, Wrap-Up
Welcome to Week 2!, Introduction to R Markdown and the YAML Header, R Markdown Syntax, Figures, Tables, and Equations, Images, Videos, and Footnotes, Presentation Formats, Book Format, Wrap-Up
Week 3 Introduction, Customizing an HTML Document, Customizing a WORD Document, Customizing Other Document Formats, Working with R Packages, Building a Document Template, Part 1, Building a Document Template, Part 2, Adding Parameters in a Document Template, Wrap-Up
Week 4 Introduction, Examples and Demo of Existing Templates, Exploring R Packages and Their Components and Files, Create an R Markdown Template and Share It, Create an R Package with an R Markdown Template, Wrap-Up
Week 5 Introduction, Organizing Components - Files, Documents, and Codes, Disseminate Your Files via RPubs and GitHub, Communicating to Your Team on How to Use Your Templates and Projects, More Ways to Disseminate Your Files, Wrap-Up
Course: Data Science Project: MATLAB for the Real World
Modules:
Practical Data Science with MATLAB, Instructor Introduction, Introduction to the Capstone Project, Creating the Taxi Regions, Preparing Your Dataset
Introduction to Module 2
Introduction to Module 3, Preparing for Your Final Report
Storytelling in Data Science, Conclusion of Practical Data Science with MATLAB
Course: Embedded Software and Hardware Architecture
Modules:
1. Architecture-Software Interface, 2. Word Size and Data Types, 3. Pointers, 4. Interacting with Memory, 5. Memory Alignment, 6. Endianness, 7. Compiler Attributes, 8. Memory Map and Registers, 9. Register Definition Files
1. Memory Access and Manipulation Introduction, 2. Bit Manipulation, 3. IO Port Configuration Example, 4. Creating Software Interfaces for Hardware, 5. Advanced Pointer Use, 6. Function Pointers, 7. Debugging a Microcontroller Program Part 1, 8. Debugging a Microcontroller Program Part 2
1. Introduction to Data Structures, 2. Enumerations, 3. Unions, 4. Structures and Encapsulation, 5. Bit Fields, 6. LIFO Buffer, 7. Circular Buffer, 8. Linked List
Course: Defining Diversity, Equity and Inclusion in Organizations
Modules:
Introduction, Meet the Instructor
Defining DE&I
Making The Case For DE&I
The DE&I Continuum for Organizations
Why DE&I Efforts Often Fail, Course One Project
Course: Evolution: A Course for Educators
Modules:
Introduction to the Course
Evolution: What It Is and Why It’s Important, Species, Speciation, and the Tree of Life: Part 1, Species, Speciation, and the Tree of Life: Part 2, Teaching Evolutionary Science
Darwin's Theory of Natural Selection, Co-Evolution: Part 1, Co-Evolution: Part 2, A Visit to the Ornithology Collections, Teaching with the Next Generation Science Standards, Building Phylogenetic Trees, Peer-Graded Assignment: Evidence for Evolution
The History of LIfe, Extinction and Evolution, Science Bulletins: Evolution in Action, Using Science Stories to Teach Evolution
Human Evolution, H. neanderthalensis, H. sapiens and the Peopling of the World, Science Bulletins: Expedition Rusinga, Teaching Evolution
Course Conclusion
Course: Data Engineering Capstone Project
Modules:
Introduction to Capstone Project, Assignment Overview
Assignment Overview: Querying Data in NoSQL Databases
Assignment Overview: Data Warehouse Design & Setup, Assignment Overview: Data Warehouse Reporting
Assignment Overview
Assignment Overview: ETL, Assignment Overview: Data Pipelines using Apache Airflow
Assignment Overview: Big Data Analytics with Spark
Congrats & Next Steps, Thanks from the Course Team
Course: Curiosity: A Necessary Ingredient for Successful Innovation
Modules:
Specialization Welcome, Specialization Overview, Course Introduction
Curiosity
Curiosity
Curiosity- REAList V2
Revisiting Curiosity, Curiosity: Identify Six Marketplace Conversation Targets, Curiosity: Evidence-based Pitch Deck (EBPD)
Course: How to finance your venture ?
Modules:
Why create a company?, Figuring the balance sheet, Cash conversion cycle, Working capital requirement, Non-current assets
How does your venture create wealth?, The main financial metrics of wealth creation, How does your venture create cash?, Burn rate, Why equity?, Why not debt?
1.Growth, market power and financing
4.The entrepreneur and the financier: A long term relationship, 5.The IPO: The beginning of a new story
2.The entrepreneur dilemma: Growth vs Ownership, 3.Investment stages
The IPO of Square
Course: Data Analysis in Python with pandas & matplotlib in Spyder
Modules:
Navigating Codio Assignments, Printing and Sorting Lesson Notes (Optional Download), Data Types Lesson Notes (Optional Download), Statistical Functions Lesson Notes (Optional Download), How to Reset an Assignment in Codio
Importing a Data Frame Lesson Notes (Optional Download), Logical Operators  Lesson Notes (Optional Download), Selecting Data Lesson Notes (Optional Download)
Conditionals Lesson Notes (Optional Download), Comparison Test Lesson Notes (Optional Download), Handling Incomplete Data sets Test Lesson Notes (Optional Download), Merges And Joins Lesson Notes (Optional Download)
Regression Test Lesson Notes (Optional Download), Correlation Test Lesson Notes (Optional Download)
Codio: Lab
Course: اجتماع النهج الرشيق (Agile) والتفكير التصميمي
Modules:
مقدمة عن النهج الرشيق كتخصص, Welcome to the Agile Specialization (Spanish), Welcome to the Agile Specialization (Chinese), ما هو النهج الرشيق (Agile)‏؟, النهج الرشيق للمديرين, النهج الرشيق للمتخصِّصين, النهج الرشيق 101, أفضل ممارسات اليوم, ملاءمة توسيع النطاق مقابل ملاءمة الابتكار, ما الذي يجعل النهج الرشيق صعبًا, لحظة الأزرار الزرقاء, ثقافة التجربة, البيان على أرض الواقع, إطار تصميم المشروعات, غريغ كوهين يتحدث عن بدء استخدام النهج الرشيق, بيل ويك يتحدث عن بدء استخدام النهج الرشيق, كيف نتعلم
التفكير التصميمي في قصص المستخدمين الرشيقة, تعرّف على الشركتين: HVAC in a Hurry وEnable Quiz, إعداد الشخصيات واستخدامها, تركيز شخصيتك: التفكير، الملاحظة، الشعور، التنفيذ, مقطع توضيحي: استخدام قالب تصميم المشروعات, مقطع توضيحي: إعداد الشخصيات, مقطع توضيحي: صياغة التفكير، الملاحظة، الشعور، التنفيذ, تصميم قصص المستخدمين: سيناريوهات المشاكل, اكتشاف الاحتياجات باستخدام سيناريوهات المشاكل, مقطع تمثيلي: تعرّف على فريق HVAC in a Hurry, مقطع تمثيلي: اجتماع داني مع الرئيس التنفيذي
بحث المستخدمين للأشخاص المشغولين, بحث الشخصيات, مقطع توضيحي: إعداد دليل مقابلة: الشخصيات, مقطع توضيحي: إعداد دليل مقابلة: سيناريوهات المشاكل, مقطع تمثيلي: مقابلة مع المختص الفني خالد, مقطع توضيحي: تصميم Google AdWords, تحسين فرضيات المشكلات, مقطع توضيحي: صياغة سيناريوهات المشاكل والبدائل والقيم المقترحة, التحضير لكتابة قصص مستخدمين رائعة, كتابة قصص مستخدمين رائعة, إضافة حالات اختبار إلى قصص المستخدمين, مقطع تمثيلي: من سيناريوهات المشاكل إلى قصص المستخدمين الملحمية, مقطع توضيحي: صياغة قصص مستخدمين ملحمية, مقطع توضيحي: تصميم القصة المصورة لملحمة, مقطع توضيحي: صياغة القصص الفرعية
سرد أفضل يعني قصة أفضل, قصص يمكن الاستثمار فيها, بيل ويك يتحدث عن INVEST, التوجيه من أجل قصص مستخدمين أفضل, نموذج أولي واحد بألف اجتماع, من التفكير التصميمي إلى التحليلات الرشيقة, تصميم اجتماع باستخدام قصص المستخدمين, استخدام "يوم في حياة..." لتحقيق التعاطف, مقطع تمثيلي: صياغة الملاحم من سيناريوهات المشاكل, مقطع تمثيلي: تصميم القصة المصورة لملحمة, مقطع تمثيلي: قصص فرعية وحالات اختبار
Course: MLOps with Vertex AI: Manage Features - Français
Modules:
Présentation du cours
Récapitulatif : En quoi Vertex AI est-il utile dans le workflow du MLOps ?, Présentation de Vertex AI Feature Store, Présentation de Vertex AI Feature Store – Démonstration
Principales fonctionnalités de Vertex AI Feature Store, Modèle de données dans Vertex AI Feature Store, Présentation de Vertex AI Feature Store, Présentation de l'atelier : Feature Store : SDK d'ingestion en flux continu
Résumé
Course: Leadership Through Marketing
Modules:
Introduction to Course 4 with Dean Blount, The Digital Revolution, Why Marketing Is a Leadership Issue, Understanding Customers, Creating Valuable Brands, Brand Evolution: Pioneering Brands, Late Mover Advantage
Leading Culture Change for Reinvention and Growth, Digital-Age Culture, Culture Change, Fewer Bigger Bolder: From Mindless Expansion to Focused Growth, Unleash People- Give Blank Checks, Execute - Think Big, Start Small, Scale Fast
Overview of Modules 3 and 4, The Moneyball Story Revisited, Why Analytics Requires Managerial Judgment, Why Analytics Requires Process and Incentive Changes, Why Analytics Has To Be Problem Driven, Why You Need a Working Knowledge of Data Science
Introduction, Why Analytics Goes Bad, The Data Generating Process, Causality and Probabilistic Equivalence, The Causality Checklist - Pre-Existing Differences, The Causality Checklist - Common Drivers, The Causality Checklist - Reverse Causality, The Causality Checklist - Confounds and Summary, Why Bad Causal Analytics Need Not Be Useless, Wrap-Up, Conclusion to Course 4 with Dean Blount
Course: Behavior Architecture - Understanding Human Behavior
Modules:
Course Introduction, Human behavior - An Overview, Why Are We Failing?, Understanding the Human Brain, Consciousness and Decision-making, Unravelling the Non-Conscious, The Human Brain and Sports, Expert talk with Tanya Upadhyay
Emotions and decision-making, Understanding emotions, Impact of context, Decoding heuristics
Rewind. Play., Etho Lab? What's that?, New ways of influencing human behavior, Understanding micro stimuli, The Conclusion
Course: Exploring Light: Hands-on Activities and Strategies for Teachers
Modules:
Course Preview, Welcome to the Course, About the Exploratorium Teacher Institute
Welcome to Perception, Playing with Rainbows, Light Stick Exhibit, Visual Channels Exhibit, Explore Colored Shadows, Make Your Own Bird in a Cage Illusion, Test Your Peripheral Vision
Welcome to Week Two, Disappearing Glass Rods Exhibit, Newton's Prisms Exhibit, Build Your Own Oil Spot Photometer
Welcome to Week Three, Optics Lesson: How Does a Lens Work?, Magic Wand Exhibit, Playing with a Giant Mirror, Poking Fun at Light
Welcome to Week Four, Long-Path Diffraction Exhibit, Soap-Film Painting Exhibit, Build Your Own CD Spectroscope, Explore Interference with Soap Film on a Can, Deepen Your Understanding with the Soap-Film Interference Model, Measure the Efficiency of a Solar Cell
Course: Historia de las reglas del fútbol en Inglaterra y en Argentina
Modules:
Universidad Austral, Antecedentes documentados sobre la existencia del fútbol, El fútbol a partir del siglo XVIII, El fútbol en las “Public Schools”, El fútbol en la Universidad
Creación de una autoridad común, Unificación de las reglas a través de la competición de la F.A. Cup, La necesidad de una Autoridad, Conclusiones
Sustrato social y jurídico sobre el que  nace el fútbol oficial, Se funda la AFA inglesa y se organiza la competición, El fútbol argentino de principios del siglo XX, Última escisión, huelga de 1931 y definitiva legalización del profesionalismo, Conclusiones
El paso de la matriz inglesa a la organización criolla, La promiscua relación entre la política nacional y la dirigencia de la AFA., La reforma del Estatuto de AFA de 1974, Otros sistemas de competición, Conclusiones
El contenido de las instituciones, La reglamentación federativa, Las normas estatales sobre contratación de deportistas, La relación laboral entre el futbolista profesional y el club, Derechos económicos y federativos en los Tribunales de Justicia de Argentina, Conclusiones
Course: System Validation (3): Requirements by modal formulas
Modules:
Introduction MOOC requirements by modal formulas, Hennessy-Milner logic, Identities for HM-logic, Dualities, Fixed point operators, Regular formulas
Data in modal formulas, Alternating fixed points, Peterson's algorithm revisited, Translation to a Boolean Equation System (BES), Solving a Boolean Equation System
Course: Think Again II: How to Reason Deductively
Modules:
Introduction to the Specialization
Introduction to Deductive Logic, Propositions and Propositional Connectives, "And" and the Truth-Functional Connectives, Using Truth Tables to Show Validity, Rules Variables and Generality, Disjunction, Combining Conjunctions and Disjunctions, Negation and Truth Functional Operators, Negating Conjunctions and Disjunctions, Commutativity and Associativity, The Conditional, Conditionals in Ordinary Language, Biconditionals, Conclusion
Categorical Logic, Categories and Quantifiers, How Quantifiers Modify Categories, Immediate Categorical Inferences, Syllogisms, Categories, Individuals, and Language, Venn Diagrams and Validity, Other Ways of Expressing A, E, I, or O Propositions
Reasoning from Venn Diagrams or Truth Tables Alone, Different Ways of Representing Information
Final Quiz
Course: Knowing the Universe: History and Philosophy of Astronomy
Modules:
Welcome to Knowing the Universe, Course Overview
Ancient Astronomy, Modern Era, Calendars, Daily Motion, Annual Motion, Moon and Eclipses, Birth of Science, Early Greeks, Late Greeks, Qualities of Science, Reasoning and Uncertainty, Evidence
Chinese Astronomy, Mayan Astronomy, Medieval and Islam, European Rebirth, Copernicus, Tycho Brahe, Kepler, Galileo, Early Telescope, Copernican Model, Galileo and the Church, Telescope Basics, Limitations/Solutions, Large Telescopes
Copernican Revolution, Descartes, Newton, Gravity, Physics, Flowering of Science, Modern Science, Cyclic Time, Linear Time, Entropy, Geological Time, Biological Evolution, Age of the Earth, Timeline
Enlightenment, Telescopes, Timekeeping, Solar System, Milky Way, Scientific Method, Albert Einstein, Space and Time, Curved Space, General Relativity, Black Holes, Gravitational Waves
History, Atoms, Substructure, Quantum Mechanics, Utility, Implications, The Sun, Formation, Properties, Stellar Evolution, Late Stages, End Points
Milky Way, Galatic Center, Galaxies, Active Galaxies, Large Scale Structure, Expansion, Acceleration, Space, Old Light, The Contents, Big Bang, History, Multiverse
Astrobiology, Solar System, Exoplanets, Earthlike Worlds, Intelligence, Communication, Simulation
Course: Build Generative AI Agents with Vertex AI and Flutter
Modules:
What's in It for Me?
Module Introduction, Generative AI and Gemini Overview, Vertex AI Overview, Flutter Overview
Coursera: Getting Started with Google Cloud Platform and Qwiklabs
What Did I Walk Away With?
Course: Construire des wireframes (maquettes fonctionnelles) et des prototypes basse fidélité
Modules:
Introduction au Cours 3 : Élaboration de wireframes et de prototypes basse-fidélité, Karen - Mon parcours vers le design UX, Bienvenue dans la semaine 1, Utiliser la recherche pour éclairer l'idéation, Craig - La recherche éclaire le design dans le monde réel, Créer des énoncés d'objectif, Introduction aux flux utilisateur, Introduction au design de storyboards pour les flux d’utilisateurs, Comprendre les deux types de storyboards, Introduction aux wireframes, Commencer à dessiner, Dessiner votre premier wireframe, Comprendre les avantages du design de wireframes, Synthèse : Design de storyboards et de wireframes
Bienvenue dans la semaine 2, Les bases de l'architecture de l'information (AI), Créer des wireframes papier, Transition des wireframes papier vers les wireframes numériques, Introduction à Figma, Créer des wireframes numériques dans Figma, Facultatif - Apprenez Figma : Créer des wireframes pour une application, Erika - Outils du métier, Utiliser les principes Gestalt lors de la création de wireframes, Synthèse : Créer des wireframes papier et numériques
Bienvenue dans la semaine 3, En savoir plus sur les prototypes basse-fidélité, Créer un prototype papier, Introduction à la construction de prototypes basse-fidélité dans Figma, Construire des prototypes basse-fidélité dans Figma, Facultatif - Apprenez de Figma : Créer des prototypes, Identifier les préjugés implicites dans le design, Ayan - Préjugés dans le travail de design UX, Identifier les schémas trompeurs courants dans le design UX, Découvrez les effets des designs qui trompent, Priya - L'importance d'un design équitable, Synthèse : Construire des prototypes basse-fidélité, Félicitations, vous avez terminé le Cours 3 : Élaboration de wireframes et de prototypes basse-fidélité
Course: Introducción a la gestión de proyectos
Modules:
¿Qué es un proyecto?, ¿Cómo nace un proyecto?
¿Qué es planear?, Definición del alcance, tiempos y costos de un proyecto
Aspectos relevantes de las cualidades en el administrador de proyectos, Etapas relevantes en el desarrollo de un proyecto
La profesionalización de la administración de proyectos, Certificación profesional en Gestión de proyectos, Entrevista con el experto
Course: Lesson | Small Talk & Conversational Vocabulary
Modules:
Small Talk & Conversational Vocabulary