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Reboot Your Brain for Success & Peak Performance is a Neuroencoding Method that delivers long lasting results. The complete program walks participants through the five elements it takes to clear out their brain, boost up their mindset, and update their mental faculties. This workshop is perfect for anyone who wants to reset to their magnificent default.

Use Cases for Business Analysis: Virtual In-House Training The use case is a method for documenting the interactions between the user of a system and the system itself. Use cases have been in the software development lexicon for over twenty years, ever since it was introduced by Ivar Jacobson in the late 1980s. They were originally intended as aids to software design in object-oriented approaches. However, the method is now used throughout the Solution Development Life Cycle from elicitation through to specifying test cases, and is even applied to software development that is not object oriented. This course identifies how business analysts can apply use cases to the processes of defining the problem domain through elicitation, analyzing the problem, defining the solution, and confirming the validity and usability of the solution. What you will Learn You'll learn how to: Apply the use case method to define the problem domain and discover the conditions that need improvement in a business process Employ use cases in the analysis of requirements and information to create a solution to the business problem Translate use cases into requirements Getting Started Introductions Course structure Course goals and objectives Foundation Concepts Overview of use case modeling What is a use case model? The 'how and why' of use cases When to perform use case modeling Where use cases fit into the solution life cycle Use cases in the problem domain Use cases in the solution domain Use case strengths and weaknesses Use case variations Use case driven development Use case lexicon Use cases Actors and roles Associations Goals Boundaries Use cases though the life cycle Use cases in the life cycle Managing requirements with use cases The life cycle is use case driven Elicitation with Use Cases Overview of the basic mechanics and vocabulary of use cases Apply methods of use case elicitation to define the problem domain, or 'as is' process Use case diagrams Why diagram? Partitioning the domain Use case diagramming guidelines How to employ use case diagrams in elicitation Guidelines for use case elicitation sessions Eliciting the problem domain Use case descriptions Use case generic description template Alternative templates Elements Pre and post conditions Main Success Scenario The conversation Alternate paths Exception paths Writing good use case descriptions Eliciting the detailed workflow with use case descriptions Additional information about use cases Analyzing Requirements with Use Cases Use case analysis on existing requirements Confirming and validating requirements with use cases Confirming and validating information with use cases Defining the actors and use cases in a set of requirements Creating the scenarios Essential (requirements) use case Use case level of detail Use Case Analysis Techniques Generalization and Specialization When to use generalization or specialization Generalization and specialization of actors Generalization and specialization of use cases Examples Associating generalizations Subtleties and guidelines Use Case Extensions The <> association The <> association Applying the extensions Incorporating extension points into use case descriptions Why use these extensions? Extensions or separate use cases Guidelines for extensions Applying use case extensions Patterns and anomalies o Redundant actors Linking hierarchies Granularity issues Non-user interface use cases Quality considerations Use case modeling errors to avoid Evaluating use case descriptions Use case quality checklist Relationship between Use Cases and Business Requirements Creating a Requirements Specification from Use Cases Flowing the conversation into requirements Mapping to functional specifications Adding non-functional requirements Relating use cases to other artifacts Wire diagrams and user interface specifications Tying use cases to test cases and scenarios Project plans and project schedules Relationship between Use Cases and Functional Specifications System use cases Reviewing business use cases Balancing use cases Use case realizations Expanding and explaining complexity Activity diagrams State Machine diagrams Sequence diagrams Activity Diagrams Applying what we know Extension points Use case chaining Identifying decision points Use Case Good Practices The documentation trail for use cases Use case re-use Use case checklist Summary What did we learn, and how can we implement this in our work environment?

Essential 5G training course description This course is designed to give delegates an explanation of the technologies and interworking requirements of the next generation of cellular communications. It is not a definitive set of descriptions but a possibility of the final deployment. we will investigate the 10 pillars for 5G which will include various Radio Access Technologies that are required to interwork smoothly. We will look at the 4G Pro features and other RATs. What will you learn List the ten pillars of 5G deployment. Describe the 5G Internet. Explain virtualization and RAT virtulization. Describe Software Defined Networks (SDN). Explain carrier aggregation. Describe the mobile cloud. Explain an overall picture of 5G architecture. Essential 5G training course details Who will benefit: Anyone looking for an understanding of the technologies and interworking requirements of the next generation of cellular communications. Prerequisites: None. Duration 3 days Essential 5G training course contents Drivers for 5G 5G Road Map, 10 Pillars of 5G, evolving RATs, oSON, MTCm, mm-wave, backhaul, EE, new spectrum, spectrum sharing, RAN virtualisation. 4G LTE Advanced MIMO technology in release 8, Downlink & uplink MIMO R8, MIMO technology in LTE advanced, Downlink 8-layer SU-MIMO, Downlink MU-MIMO, Uplink MU-MIMO, Uplink transmit diversity, Coordinated multi-point operation (CoMP), Independent eNB & remote base station configurations, Downlink CoMP. ICIC & eICIC ICIC, Homogeneous to heterogeneous network evolution, Introduction to eICIC, Macro-pico scenario, Macro-femto scenario, Time orthogonal frequencies. Almost Blank Subframe (ABS). Carrier aggregation Component carriers (CC), CC aggregation deployments, Intra-band contiguous solutions, Intra-band non-contiguous solutions, Inter-band non-contiguous solutions, CA bandwidth classes, Aggregated transmission bandwidth configurations (ATBC), Possible carrier aggregation configs. eIMTA TDD UL-DL reconfig. for traffic adaptation, Reconfig. mechanisms, Interference mitigation schemes, Dynamic & flexible resource allocation. 5G architectures 5G in Europe, horizon 2020 framework, 5G infrastructure PPP, METIS project, 5G in North America, academy research, company R&D, 5G specifications. The 5G internet High-level view of Cloud Services, The Internet of Things & context awareness, Network reconfiguration & virtualization support, server proliferation, how VMs fix underutilised server problem, enter the hypervisor, why are VM such a big deal? SDN, evolution of the data centre network, high availability, low latency, scalability, security, cost model explodes, service-oriented API. OpenFlow switches, OpenFlow controllers, how SDN works. The big picture, pulling it all together, why the network had to change, how SDN & NFV tie together. Evolutionary approach to the internet, architectures for distributed mobility management, MEDIEVAL & MEDIVO projects, a clean slate approach, mobility first architecture. VNet, INM, NetInf, ForMux, MEEM. Generic Path (GP) & anchorless mobility (AM), Quality of Service support, network resource provisioning, resourcing inside a network. IntServ, RSVP, DiffServ, CoS. Emerging approach for resource over- provisioning, example use case architecture for scalable resource control scenarios in the 5G internet. Integrating SDN/NFV for efficient resource over-reservation control, control information repository, service admission control policies, network resource provisioning, control enforcement functions, network configurations & operations. Small cells for 5G Average spectral efficiency evolution, WiFi & Femto cells, Capacity limits. Achievable gains with densifications, multi-antenna techniques, small cells. Mobile data demand, approach & methodology, subscriber density and traffic demand projections to 2020. Demand versus capacity, global mobile data traffic increase modelling, country level backhaul traffic projections, Small cell challenges, backhaul, spectrum, automation. Cooperation for next gen wireless networks Diversity & relaying strategies, cooperation & network coding, ARQ & MAC protocols, NCCARQ & PRCSMA packet exchange, Physical layer impact on MAC protocol analysis, NCCARQ overview, PHY layer impact, Case study on NCCARQ. Mobile clouds Mobile cloud, Mobile cloud enablers, mobile user domain, wireless technologies, WWAN WLAN and WPAN range, Bluetooth, IEEE.802.15.4 & software stacks, infrared, near field communications (NFC). Network coding, store & forward vs compute & forward, linear network coding, random linear coding. Security for 5G communications Potential 5G communication systems architectures, Security issues & challenges. Mobile malware attacks targeting the UE, 5G mobile botnets, access networks, attacks on 4G networks, C-RNTI & packet sequence number based UE location tracking, false buffer status reports attacks, message insertion attacks, HeNB attacks, physical attacks, credential attacks, configuration and protocol attacks, attacks on MON, user data & identity attacks, mobile operator's core network, DDoS attacks targeting MON, signalling amplification, HSS saturation, external IP networks.

Duration 3 Days 18 CPD hours This course is intended for System administrators and operators who are operating in the AWS Cloud Informational technology workers who want to increase the system operations knowledge. Overview Identify the AWS services that support the different phases of Operational Excellence, an AWS Well-Architected Framework pillar Manage access to AWS resources using AWS accounts and organizations and AWS Identity and Access Management (IAM) Maintain an inventory of in-use AWS resources by using AWS services, such as AWS Systems Manager, AWS CloudTrail, and AWS Config Develop a resource deployment strategy using metadata tags, Amazon Machine Images (AMIs), and AWS Control Tower to deploy and maintain an AWS cloud environment Automate resource deployment by using AWS services, such as AWS CloudFormation and AWS Service Catalog Use AWS services to manage AWS resources through CloudOps lifecycle processes, such as deployments and patches Configure a highly available cloud environment that uses AWS services, such as Amazon Route 53 and Elastic Load Balancing, to route traffic for optimal latency and performance Configure AWS Auto Scaling and Amazon EC2 Auto Scaling to scale out your cloud environment based on demand Use Amazon CloudWatch and associated features, such as alarms, dashboards, and widgets, to monitor your cloud environment Manage permissions and track activity in your cloud environment by using AWS services, such as AWS CloudTrail and AWS Config Deploy your resources to an Amazon Virtual Private Cloud (Amazon VPC), establish necessary connectivity to your Amazon VPC, and protect your resources from disruptions of service State the purpose, benefits, and appropriate use cases for mountable storage in your AWS Cloud environment Explain the operational characteristics of object storage in the AWS Cloud, including Amazon Simple Storage Service (Amazon S3) and Amazon S3 Glacier Build a comprehensive cost model to help gather, optimize, and predict your cloud costs by using services such as AWS Cost Explorer and the AWS Cost & Usage Report This course teaches systems operators and anyone performing cloud operations functions how to manage and operate automatable and repeatable deployments of networks and systems on AWS. You will learn about cloud operations functions, such as installing, configuring, automating, monitoring, securing, maintaining, and troubleshooting these services, networks, and systems. The course also covers specific AWS features, tools, and best practices related to these functions. Prerequisites Successfully completed the AWS Technical Essentials course Background in either software development or systems administration Proficiency in maintaining operating systems at the command line, such as shell scripting in Linux environments or cmd/PowerShell in Windows Basic knowledge of networking protocols (TCP/IP, HTTP) 1 - Introduction to Cloud Operations on AWS What is Cloud Operations AWS Well-Architected Framework AWS Well-Architected Tool 2 - Access Management AWS Identity and Access Management (IAM) Resources, accounts, and AWS Organizations 3 - System Discovery Methods to interact with AWS services Tools for automating resource discovery Inventory with AWS Systems Manager and AWS Config Hands-On Lab: Auditing AWS Resources with AWS Systems Manager and AWS Config 4 - Deploy and Update Resources Cloud Operations in deployments Tagging strategies Deployment using Amazon Machine Images (AMIs) Deployment using AWS Control Tower 5 - Automate Resource Deployment Deployment using AWS CloudFormation Deployment using AWS Service Catalog Hands-On Lab: Infrastructure as Code 6 - Manage Resources AWS Systems Manager Hands-On Lab: Operations as Code 7 - Configure Highly Available Systems Distributing traffic with Elastic Load Balancing Amazon Route 53 8 - Automate Scaling Scaling with AWS Auto Scaling Scaling with Spot Instances Managing licenses with AWS License Manager 9 - Monitor and Maintain System Health Monitoring and maintaining healthy workloads Monitoring AWS infrastructure Monitoring applications Hands-On Lab: Monitor Applications and Infrastructure 10 - Data Security and System Auditing Maintaining a strong identity and access foundation Implementing detection mechanisms Automating incident remediation 11 - Operate Secure and Resilient Networks Building a secure Amazon Virtual Private Cloud (Amazon VPC) Networking beyond the VPC 12 - Mountable Storage Configuring Amazon Elastic Block Store (Amazon EBS) Sizing Amazon EBS volumes for performance Using Amazon EBS snapshots Using Amazon Data Lifecycle Manager to manage your AWS resources Creating backup and data recovery plans Configuring shared file system storage Hands-On Lab: Automating with AWS Backup for Archiving and Recovery 13 - Object Storage Deploying Amazon Simple Storage Service (Amazon S3) Managing storage lifecycles on Amazon S3 14 - Cost Reporting, Alerts, and Optimization Gaining AWS cost awareness Using control mechanisms for cost management Optimizing your AWS spend and usage Hands-On Lab: Capstone lab for CloudOps Additional course details: Nexus Humans Cloud Operations on AWS training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Cloud Operations on AWS course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

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Who is this course for? The "3ds Max and Unity 3D Game Designing Training Course" is ideal for aspiring game designers, developers, graphic designers, students, and creative professionals. It's tailored for individuals keen on mastering 3D modeling, animation, and interactive game development using industry-standard software like 3ds Max and Unity 3D. Click here for more info: Website Scheduling: Available from Monday to Saturday, 9 a.m. to 7 p.m. Choose in-person or live online sessions over Zoom. Duration: 40 hours. Module 1: Introduction to 3ds Max (8 hours) Overview of 3ds Max interface and tools Basic 3D modeling techniques: primitives, Editable Poly, modifiers Material creation and application Introduction to lighting and rendering concepts Module 2: Advanced 3ds Max Techniques (8 hours) Advanced modeling: Splines, Loft, Extrude, and ProBoolean Animation basics: Keyframes, paths, and controllers Particle systems and dynamics Introduction to character rigging and animation Module 3: Introduction to Unity 3D (8 hours) Unity interface and project setup Importing 3D assets from 3ds Max Physics and colliders in Unity Basic scripting and interactions Module 4: Advanced Unity 3D Features (8 hours) Unity scripting: C# fundamentals Advanced physics and particle systems User interface design and implementation Integrating audio and visual effects Module 5: Game Design and Optimization (8 hours) Game design principles and mechanics Level design and interactive gameplay elements Optimizing game performance: LOD, batching, and asset optimization User testing and feedback incorporation Final Project (4 hours) Collaborative game development project using 3ds Max and Unity 3D Implementation of learned skills in a real-world scenario Presentation and feedback session Note: The course outline is designed to provide a comprehensive understanding of both 3ds Max and Unity 3D, covering fundamental and advanced topics. The final project aims to apply the acquired skills in a practical context, fostering creativity and collaboration among participants. Unity - Real-time 3D https://www.unity.com/. 3ds Max Trial  https://www.autodesk.co.uk › products › free-trial Upon completion of the 40-hour 3ds Max and Unity 3D Game Design Masterclass, students will: Master 3D Modeling: Acquire proficient skills in creating detailed 3D models, understanding various techniques, and utilizing advanced tools in 3ds Max. Expertise in Animation: Gain expertise in animating characters and objects, employing keyframes, paths, and controllers for realistic motion. Material Creation and Texturing: Understand material creation, application, and advanced texturing techniques for creating visually appealing game assets. Unity Game Development: Learn Unity's interface, project setup, and scripting fundamentals to create interactive games. Physics and Interactivity: Explore physics systems, colliders, and interactive elements, enhancing gameplay experiences. Advanced Scripting: Develop proficiency in C# scripting, enabling the implementation of complex game mechanics and interactions. Optimization Techniques: Understand techniques to optimize game assets, improving performance and ensuring smooth gameplay. Game Design Principles: Grasp essential game design principles, including level design, user experience, and gameplay mechanics. Real-World Application: Apply learned skills in a collaborative final project, integrating 3D models, animations, scripting, and game design principles. Presentation Skills: Develop the ability to present and explain game concepts, designs, and mechanics effectively. Troubleshooting and Debugging: Gain skills in identifying and resolving common issues and errors in both 3ds Max and Unity 3D projects. Team Collaboration: Enhance teamwork and collaboration skills through the final project, working effectively with peers in a creative environment. Upon completing the course, students will have a well-rounded skill set in 3D modeling, animation, game design, and Unity development, making them proficient candidates for roles in game development studios, animation companies, or freelance projects. 3ds Max and Unity 3D Game Designing Training Course: Skills & Careers! Skills Acquired: Advanced 3D Modeling Texturing and Animation Unity 3D Game Development Lighting and Rendering Interactive UI/UX Design Career Opportunities: Game Developer 3D Modeler Texture Artist Game Tester UI/UX Designer Embrace Personalized Learning. Why Us? Discover the Benefits: One-on-One Training: Experience tailored coaching from practicing architects and designers, either face-to-face at (SW96DE) or in live online sessions. Available Monday to Saturday, 9 am to 7 pm. Customized Tutorials: Take home exclusive video tutorials crafted to enhance your learning journey. Comprehensive Resources: Access a digital reference book for thorough revision, ensuring a deep understanding of every concept. Free Ongoing Support: Enjoy continuous post-course assistance via phone or email, ensuring your success even after class completion. Flexible Syllabus: We adapt syllabus and projects to your needs, ensuring focused learning on what matters most to you. Official Certificate: Certificate upon course completion. Why Choose Us? Individualized Support: Our courses, ranging from 10 to 120 hours, offer unwavering assistance at every stage. With personalized homework assignments and free after-course support, we guide you toward mastering software with unparalleled expertise. Personal Attention, No Crowded Classrooms: Experience the intimacy of one-on-one learning. Bid farewell to crowded classrooms, ensuring you receive the undivided attention you deserve in a confident and comfortable environment. Financial Flexibility: Embarking on your educational journey shouldn't strain your finances. Diverse payment plans tailored to your needs. Explore available options and embark on your learning adventure today. Expert Instructors, Real-world Experience: Our instructors, chosen for their industry expertise and passion for teaching, are dedicated to imparting invaluable skills to eager learners.

Linux network administration 2 course description LPIC-2 is the second certification in LPI's multi level professional certification program. This course teaches the skills necessary to pass the LPI 202 exam; the second of two LPIC-2 exams. Specifically, the course covers the administration of Linux systems in small to medium sized mixed networks. What will you learn Install and configure fundamental network services. Linux network administration 2 course details Who will benefit: Linux administrators. Prerequisites: Linux engineer certification 1 (LPIC-2) Duration 5 days Linux network administration 2 course contents Part II The LPI 202 Exam Organizing Email Services The Linux Mail System, Mail Transfer Agent, Mail Delivery Agent, Mail User Agent, Email Protocols, SMTP, POP, IMAP, Using Email Servers, Sendmail, Postfix, Local Email Delivery, Procmail Basics, Sieve, Remote Email Delivery, Courier, Dovecot. DNS DNS and BIND, Configuring a DNS Server, Starting, Stopping, and Reloading BIND, Configuring BIND Logging, Creating and Maintaining DNS Zones, BIND Zone Files, Managing BIND Zones, Securing a DNS Server, ailing BIND, DNSSEC, TSIG, Employing DANE. Offering Web Services Web Servers, HTTP, The Apache Web Server, Installing and configuring Apache, Hosting Dynamic Web Applications, Secure Web Servers, Proxy Servers, Installing and configuring Squid, Configuring Clients, Nginx Server, Installing Nginx, Configuring Nginx. Sharing Files Samba, Configuring Samba, Troubleshooting Samba, NFS, Configuring NFS, Securing NFS, Troubleshooting NFS, FTP Servers, Configuring vsftpd, Configuring Pure-FTPd. Managing Network Clients Assigning Network Addresses, DHCP, Linux DHCP Software, Installing and configuring a DHCP Server and clients, Authentication Service, PAM Basics, Configuring PAM, PAM Application Files, Network Directories, LDAP Basics, OpenLDAP Server, LDAP Clients. Setting Up System Security Server Network Security, Port Scanning, Intrusion Detection Systems, External Network Security, iptables, Routing in Linux, Connecting Securely to a Server, OpenSSH, OpenVPN, Security Resources, US-CERT, SANS Institute, Bugtraq.

Duration 1 Days 6 CPD hours This course is intended for The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don?t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful. This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. Prerequisites Prerequisite certification is not required before taking this course. Successful Azure AI Fundamental students start with some basic awareness of computing and internet concepts, and an interest in using Azure AI services. Specifically: Experience using computers and the internet. Interest in use cases for AI applications and machine learning models. A willingness to learn through hands-on exp... 1 - Fundamental AI Concepts Understand machine learning Understand computer vision Understand natural language processing Understand document intelligence and knowledge mining Understand generative AI Challenges and risks with AI Understand Responsible AI 2 - Fundamentals of machine learning What is machine learning? Types of machine learning Regression Binary classification Multiclass classification Clustering Deep learning Azure Machine Learning 3 - Fundamentals of Azure AI services AI services on the Azure platform Create Azure AI service resources Use Azure AI services Understand authentication for Azure AI services 4 - Fundamentals of Computer Vision Images and image processing Machine learning for computer vision Azure AI Vision 5 - Fundamentals of Facial Recognition Understand Face analysis Get started with Face analysis on Azure 6 - Fundamentals of optical character recognition Get started with Vision Studio on Azure 7 - Fundamentals of Text Analysis with the Language Service Understand Text Analytics Get started with text analysis 8 - Fundamentals of question answering with the Language Service Understand question answering Get started with the Language service and Azure Bot Service 9 - Fundamentals of conversational language understanding Describe conversational language understanding Get started with conversational language understanding in Azure 10 - Fundamentals of Azure AI Speech Understand speech recognition and synthesis Get started with speech on Azure 11 - Fundamentals of Azure AI Document Intelligence Explore capabilities of document intelligence Get started with receipt analysis on Azure 12 - Fundamentals of Knowledge Mining with Azure Cognitive Search What is Azure Cognitive Search? Identify elements of a search solution Use a skillset to define an enrichment pipeline Understand indexes Use an indexer to build an index Persist enriched data in a knowledge store Create an index in the Azure portal Query data in an Azure Cognitive Search index 13 - Fundamentals of Generative AI What is generative AI? Large language models What is Azure OpenAI? What are copilots? Improve generative AI responses with prompt engineering 14 - Fundamentals of Azure OpenAI Service What is generative AI Describe Azure OpenAI How to use Azure OpenAI Understand OpenAI's natural language capabilities Understand OpenAI code generation capabilities Understand OpenAI's image generation capabilities Describe Azure OpenAI's access and responsible AI policies 15 - Fundamentals of Responsible Generative AI Plan a responsible generative AI solution Identify potential harms Measure potential harms Mitigate potential harms Operate a responsible generative AI solution Additional course details: Nexus Humans AI-900T00 - Microsoft Azure AI Fundamentals training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the AI-900T00 - Microsoft Azure AI Fundamentals course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 5 Days 30 CPD hours This course is intended for Software Engineers and DevOps professionals working in an Enterprise developing mission critical line of business applications. Overview By the end of this course, students will be able to: Assess the advantages of a containerized software development & deployment Use Docker engine features necessary for running containerized applications Utilize Swarm and Kubernetes orchestrators to deploy, maintain, and scale a distributed application Describe the essential patterns used in a highly distributed EE application Understand how to configure EE applications for different environments without code changes Produce and containerize scalable, accessible, and fault-tolerant EE applications Apply different debugging and testing techniques to containerized EE applications The Docker Fundamentals + Enterprise Operations Bundle includes the full Docker for Enterprise Operations course as well as the prerequisite Docker Fundamentals course run back to back in a single intensive training experience. The Docker Fundamentals training course features the foundational concepts and practices of containerization on a single Docker node. The course offers learners the opportunity to assimilate basic container orchestration and how to scale Docker across multiple nodes in a simple swarm cluster. This course provides essential foundational knowledge for subsequent Docker courses. As the follow-on to the Docker Fundamentals course, Docker for Enterprise Operations is a role-based course is designed for Docker Operations teams to accelerate their Docker journey in the enterprise. The course covers in-depth core advanced features of Docker EE and best practices to apply these features at scale with enterprise workloads. Platform Availability: Linux, Windows (Fundamentals Only). Introducing Docker Containerization Fundamentals Creating Images Docker Volumes Docker Networking Basics Introduction to Docker Compose Introduction to Swarm Mode Introduction to Kubernetes Secrets Fundamentals Signature Assignment Distributed Application Architecture Sample Application Edit and Continue Debugging Docker Compose Testing Service Discovery Defensive Programming Logging and Error Handling Health Checks Secrets Configuration Management Development Pipeline Overview Universal Control Plane Docker Trusted Registry Repository Automation Build Server