“…You have in this episode Uncle Bob himself sharing how he discovered Acceptance Testing and how it provided the inspiration for him to create 'FitNesse' one of the first Acceptance Testing tools - You don't want to miss this! Acceptance Test Driven Development - Part 2: This episode picks up from where you left off in Part 1. …”

“…Course Overview Course One: Designing and planning a cloud solution architecture 1.0 Rough Draft Introduction Introduction to Google Professional Architect Course Onboarding to GCP Cloud Designing a solution infrastructure that meets business requirements Designing a solution infrastructure that meets technical requirements Designing network, storage, and compute resources Using Google Cloud Functions Running Minikube Running Minikube with FastAPI for Kubernetes development Getting Started with Google Cloud Run Load testing with locust Design technical solutions for evolution and migration SRE Mindset Conclusion and Next Steps Course Two: Managing and provisioning a solution infrastructure Introduction to Google Professional Architect Course Two Exploring Network Topologies in GCP: A Demonstration Embracing Hybrid Networking in Google Cloud Platform Overview of GCP Storage Demo of using the SDK and CLI to manage storage Data lifecycle management Data security Demo of building Rust deduplication finder Compute volatility configuration (preemptible vs. standard) Demo Build and Deploy Rust Actix Microservice Cloud Run Container orchestration with GKE Demo of extending Google Cloud Functions Conclusion Course Two Course Three: Designing for Security and Compliance Introduction to Google Professional Architect Course Three Mastering Identity and Access Management in GCP Data Security Best Practices for GCP Secrets Manager API: A Hands-on Guide Exploring a data poisoning attack Meeting Industry Certification Requirements in GCP Auditing GCP Security with Log Analysis Creating Custom Log Dashboards for GCP Security Monitoring Scanning Web Applications with GCP's Cloud Web Security Scanner Analyzing GCP Logs with BigQuery GCP Security: Conclusion and Next Steps Course Four: Designing and optimizing technical and business processes Introduction to Google Professional Architect Course Four Continuous Delivery: An Introduction Hands-on with Continuous Integration in GCP Troubleshooting Techniques: The Five Whys Implementing Simple GitHub Actions for CI/CD The Three Most Important Files in a Python Project Utilizing Trello for Effective Project Management Leveraging Spreadsheets for Project Management Exploring the MLOps Maturity Model Building Bespoke Systems for Core Business Functions Data Science on Windows: Virtualenv and Pip Site Reliability Engineering (SRE) in GCP Performing Load Testing in GCP: A Demo Course Five: Managing and optimizing cloud solution Implementation Introduction to Google Professional Architect Course Five Makefiles Made Easy: A Comprehensive Guide Configuring Your Bashrc for an Optimal Environment Implementing Continuous Integration for Rust with GitHub Actions Unit Testing in Rust: A Hands-on Demonstration Supercharging Rust Development with Copilot Setting Up a GCP Workstation for Python Development Mastering Google Cloud Shell: A Practical Guide Streamline Your Development with Google Cloud Editor Getting Started with the Google Cloud CLI SDK Unleashing the Power of Google Cloud's 'gcloud' Command-Line Tool Deploying Rust Applications to App Engine: A Step-by Course Six: Ensuring solution and operations reliability Introduction to Google Professional Architect Course Six Monitoring and Logging Rust App Engine Applications: A Demo Uncovering the Advantages of Cloud Developer Workspaces Operationalizing Microservices in the Cloud Introducing GitHub Codespaces for Streamlined Development Compiling Python Projects in GitHub Codespaces Mastering Continuous Integration in GCP Course Wrap-up and Future Steps in Your GCP Journey Learning Objectives Design and optimize cloud solutions Analyze and optimize technical and business processes Manage and provision cloud infrastructure Ensure solution and operations reliability By the end of this course, you will have the knowledge and skills needed to pass the Google Cloud Certified Professional Cloud Architect exam and to effectively design and manage cloud solutions using Google Cloud Platform. …”

“…Lessons Covered Include: 1.0 Introduction to the AWS Certified Data Analytics (DAS-C01) - Specialty-2023 1.1 technology prerequisite 1.2 sagemaker studio lab 1.3 learn aws cloudshell 1.4 cloud developer workspace advantage 1.5 prototyping ai apis aws cloudshell bash 1.6 cloud9 with codewhisperer Learning Objectives Domain 1: Collection Determine the operational characteristics of the collection system Select a collection system that handles the frequency, volume, and source of data Select a collection system that addresses the key properties of data, such as order, format, and compression 1.0 Introduction to the AWS Certified Data Analytics (DAS-C01) - Specialty-2023 1.1 technology prerequisite 1.2 sagemaker studio lab 1.3 learn aws cloudshell 1.4 cloud developer workspace advantage 1.5 prototyping ai apis aws cloudshell bash 1.6 cloud9 with codewhisperer 1.7 operationalizing collection system 1.11 job styles batch vs streaming 1.12 data ingestion pipelines 1.13 aws batch demo 1.14 step function demo 1.15 transform data in transit 1.16 handle ml specific map reduce 1.17 install rust cloud9 1.18 build aws rust s3 size calculator Domain 2: Storage and Data Management Determine the operational characteristics of the storage solution for analytics Determine data access and retrieval patterns Select the appropriate data layout, schema, structure, and format Define data lifecycle based on usage patterns and business requirements Determine the appropriate system for cataloging data and managing metadata 2.0 domain intro 2.2 one size database 2.3 serverless data engineering 2.4 provisioning ebs 2.5 retrain models 2.6 use s3 storage 2.7 big data challenges 2.8 build systems tools with rust deduplication Domain 3: Processing Determine appropriate data processing solution requirements Design a solution for transforming and preparing data for analysis Automate and operationalize data processing solutions 3.0 domain intro 3.1 kubernetes key concepts 3.2 kubernetes clust 3.3 kubernetes pods nodes 3.4 services deployments 3.5 running minikube 3.6 minikube fastapi kubernetes 3.7 building tiny container 3.8 aws api app runner 3.9 pytorch fastapi deploy app runner 3.10 aws app runner csharp 3.11 options container orchestration 3.12 AWS ECS Fargate Dotnet Microservice 3.1* 3 load testing locust 3.14 sre mindset mlops 3.15 compute choices 3.16 provisioning ec2 Domain 4: Analysis and Visualization Determine the operational characteristics of the analysis and visualization solution Select the appropriate data analysis solution for a given scenario Select the appropriate data visualization solution for a given scenario 4.0 domain intro 4.1 cleanup data 4.2 scaling data 4.3 labeling data 4.4 mechanical turk labeling 4.5 identify extract features 4.6 feature engineering concepts 4.7 graphing data 4.9 clustering 4.11 kaggle nba quicksight 4.12 sagemaker canvas demo 4.13 train test split Domain 5: Security Select appropriate authentication and authorization mechanisms Apply data protection and encryption techniques Apply data governance and compliance controls 5.0 intro domain 5.1 security access strategy 5.2 firewall 5.5 aws trusted advisor demo 5.6 shared security model 5.7 encryption in transit rest 5.8 data protection aws 5.9 audit network 5.10 integrated security 5.11 plp lambda 5.12 analyze logs aws 5.13-conclusion Additional Popular Resources Pytest Master Class AWS Solutions Architect Professional Course Github Actions and GitOps in One Hour Video Course Jenkins CI/CD and Github in One Hour Video Course AWS Certified Cloud Practitioner Video Course Advanced Testing with Pytest Video Course AWS Solutions Architect Certification In ONE HOUR Python for DevOps Master Class 2022: CI/CD, Github Actions, Containers, and Microservices MLOPs Foundations: Chapter 2 Walkthrough of Practical MLOps Learn Docker containers in One Hour Video Course Introduction to MLOps Walkthrough AZ-900 (Azure Fundamentals) Quick reference guide 52 Weeks of AWS Episode 8: Infrastructure as Code with CDK and AWS Lambda Learn GCP Cloud Functions in One Hour Video Course Python Devops in TWO HOURS! …”

“…You'll also learn how to plan a synchronization strategy, including using the IdFix tool to review and prepare your on-prem Active Directory forest. …”

“…La viabilitat quàntica de l'algorisme s'ha modelat en forma QUBO, amb Docplex simulat Cirq, Or-Tools i provat a ordinadors IBMQ.Després d'analitzar els resultats de l'enfocament anterior, es va dissenyar un escenari per resoldre el SWP com a raonament basat en casos (qCBR), tant quànticament com clàssicament. …”
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“…La viabilitat quàntica de l'algorisme s'ha modelat en forma QUBO, amb Docplex simulat Cirq, Or-Tools i provat a ordinadors IBMQ.Després d'analitzar els resultats de l'enfocament anterior, es va dissenyar un escenari per resoldre el SWP com a raonament basat en casos (qCBR), tant quànticament com clàssicament. …”

“…Two key questions facing researchers in this field is how to approach the history of Islamic sciences using methodological tools and how to utilize perspectives from different disciplines. …”

“…Build Trust: Apply open-source tools to manage ethical concerns in AI. This course is for you because... …”

“…The complete Certified Cloud Security Professional video course with CCSK extras by Dean Bushmiller Domain 1 Cloud Concepts, Architecture and Design 1.1 Understand cloud computing concepts Cloud computing definitions Cloud computing roles and responsibilities Key cloud computing characteristics Building block technologies 1.2 Describe cloud reference architecture Cloud computing activities Cloud service capabilities Cloud service categories IaaS, PaaS, SaaS Cloud deployment models Cloud shared considerations , auditability, regulatory, outsourcing 1.3 Understand security concepts relevant to cloud computing Cryptography and key management Identity and access control Data and media sanitization Network security Virtualization security Common threats Security hygiene 1.4 Understand design principles of secure cloud computing Cloud secure data lifecycle Cloud-based business continuity and disaster recovery plan Business impact analysis Functional security requirements Security considerations and responsibilities for different cloud categories Cloud design patterns Enterprise Architecture DevOps security 1.5 Evaluate cloud service providers Verification against criteria System/subsystem product certifications Domain 2 Cloud Data Security 2.1 Describe cloud data concepts Cloud data life cycle phases Data dispersion Data flows 2.2 Design and implement cloud data storage architectures Storage types Threats to storage types 2.3 Design and apply data security technologies and strategies Encryption and key management Hashing Data obfuscation Tokenization Data loss prevention Keys, secrets and certificates management 2.4 Implement data discovery Structured data Unstructured data Semi-structured data Data location 2.5 Plan and implement data classification Data classification policies Data mapping Data labeling 2.6 Design and implement Information Rights Management Legal hold 2.7 Design and implement auditability, traceability and accountability of data events Definition of event sources and requirement of event attributes address, geolocation Logging, storage and analysis of data events Chain of custody and non repudiation Domain 3 Cloud Platform and Infrastructure Security 3.1 Comprehend cloud infrastructure and platform components Physical environment Network and communications Compute Virtualization Storage Management plane 3.2 Design a secure data center Logical design Physical design Environmental design Design resilient 3.3 Analyze risks associated with cloud infrastructure and platforms Risk assessment Cloud vulnerabilities, threats and attacks Risk mitigation strategies 3.4 Plan and implementation of security controls Physical and environmental protection System, storage and communication protection Identification, authentication and authorization in cloud environments Audit mechanisms correlation, packet capture 3.5 Plan business continuity and disaster recovery Business continuity and disaster recovery strategies Business requirements , Recovery Point Objective Creation, implementation and testing of plan Domain 4 Cloud Application Security 4.1 Advocate training and awareness for application security Cloud development basics Common pitfalls Common cloud vulnerabilities OWASP Top 10 4.2 Describe the Secure Software Development Life Cycle process Business requirements Phases and methodologies 4.3 Apply the Secure Software Development Life Cycle Cloud specific risks Threat modeling STRIDE and DREAD Avoid common vulnerabilities during development Secure coding Application Security Verification Standard Software configuration management and versioning 4.4 Apply cloud software assurance and validation Functional and non functional testing Security testing methodologies SAST DAST Quality assurance Abuse case testing 4.5 Use verified secure software Securing application programming interfaces Supply chain management Third party software management Validated open source software 4.6 Comprehend the specifics of cloud application architecture Supplemental security components , Database Activity Monitoring, Extensible Markup Language firewalls, application programming interface gateway Cryptography Sandboxing Application virtualization and orchestration 4.7 Design appropriate identity and access management solutions Federated identity Identity providers Single sign on Multi factor authentication Cloud access security broker Secrets management Domain 5 Cloud Security Operations 5.1 Build and implement physical and logical infrastructure for cloud environment Hardware specific security configuration requirements and Trusted Platform Module Installation and configuration of management tools Virtual hardware specific security configuration requirements , Hypervisor types Installation of guest operating system virtualization toolsets 5.2 Operate and maintain physical and logical infrastructure for cloud environment Access controls for local and remote access , secure terminal access, Secure Shell, console based access mechanisms, jumpboxes, virtual client Secure network configuration , Transport Layer Security, Dynamic Host Configuration Protocol, Domain Name System Security Extensions, virtual private network Network security controls , intrusion prevention systems, honeypots, vulnerability assessments, network security groups, bastion host Operating system hardening through the application of baselines, monitoring and remediation Patch management Infrastructure as Code strategy Availability of clustered hosts Availability of guest operating system Performance and capacity monitoring Hardware monitoring Configuration of host and guest operating system backup and restore functions Management plane 5.3 Implement operational controls and standards Change management Continuity management Information security management Continual service improvement management Incident management Problem management Release management Deployment management Configuration management Service level management Availability management Capacity management 5.4 Support digital forensics Forensic data collection methodologies Evidence management Collect, acquire, and preserve digital evidence 5.5 Manage communication with relevant parties Vendors Customers Partners Regulators Other stakeholders 5.6 Manage security operations Security operations center Intelligent monitoring of security controls , intrusion prevention systems, honeypots, network security groups, artificial intelligence Log capture and analysis , log management Incident management Vulnerability assessments Domain 6 Legal, Risk and Compliance 6.1 Articulate legal requirements and unique risks within the cloud environment Conflicting international legislation Evaluation of legal risks specific to cloud computing Legal framework and guidelines eDiscovery Forensics requirements 6.2 Understand privacy issues Difference between contractual and regulated private data , personally identifiable information Country specific legislation related to private data , personally identifiable information Jurisdictional differences in data privacy Standard privacy requirements Privacy Impact Assessments 6.3 Understand audit process, methodologies, and required adaptations for a cloud environment Internal and external audit controls Impact of audit requirements Identify assurance challenges of virtualization and cloud Types of audit reports Restrictions of audit scope statements Gap analysis Audit planning Internal information security management system Internal information security controls system Policies Identification and involvement of relevant stakeholders Specialized compliance requirements for highly regulated industries Impact of distributed information technology model 6.4 Understand implications of cloud to enterprise risk management Assess providers risk management programs Difference between data owner/controller vs. data custodian/processor Regulatory transparency requirements , General Data Protection Regulation Risk treatment Different risk frameworks Metrics for risk management Assessment of risk environment 6.5 Understand outsourcing and cloud contract design Business requirements , master service agreement, statement of work Vendor management Contract management Supply chain management…”