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Duration 1 Days 6 CPD hours This course is intended for This course is intended for the following participants:Cloud professionals interested in taking the Data Engineer certification exam.Data engineering professionals interested in taking the Data Engineer certification exam. Overview This course teaches participants the following skills: Position the Professional Data Engineer Certification Provide information, tips, and advice on taking the exam Review the sample case studies Review each section of the exam covering highest-level concepts sufficient to build confidence in what is known by the candidate and indicate skill gaps/areas of study if not known by the candidate Connect candidates to appropriate target learning This course will help prospective candidates plan their preparation for the Professional Data Engineer exam. The session will cover the structure and format of the examination, as well as its relationship to other Google Cloud certifications. Through lectures, quizzes, and discussions, candidates will familiarize themselves with the domain covered by the examination, to help them devise a preparation strategy. Rehearse useful skills including exam question reasoning and case comprehension. Tips and review of topics from the Data Engineering curriculum. Understanding the Professional Data Engineer Certification Position the Professional Data Engineer certification among the offerings Distinguish between Associate and Professional Provide guidance between Professional Data Engineer and Associate Cloud Engineer Describe how the exam is administered and the exam rules Provide general advice about taking the exam Sample Case Studies for the Professional Data Engineer Exam Flowlogistic MJTelco Designing and Building (Review and preparation tips) Designing data processing systems Designing flexible data representations Designing data pipelines Designing data processing infrastructure Build and maintain data structures and databases Building and maintaining flexible data representations Building and maintaining pipelines Building and maintaining processing infrastructure Analyzing and Modeling (Review and preparation tips) Analyze data and enable machine learning Analyzing data Machine learning Machine learning model deployment Model business processes for analysis and optimization Mapping business requirements to data representations Optimizing data representations, data infrastructure performance and cost Reliability, Policy, and Security (Review and preparation tips) Design for reliability Performing quality control Assessing, troubleshooting, and improving data representation and data processing infrastructure Recovering data Visualize data and advocate policy Building (or selecting) data visualization and reporting tools Advocating policies and publishing data and reports Design for security and compliance Designing secure data infrastructure and processes Designing for legal compliance Resources and next steps Resources for learning more about designing data processing systems, data structures, and databases Resources for learning more about data analysis, machine learning, business process analysis, and optimization Resources for learning more about data visualization and policy Resources for learning more about reliability design Resources for learning more about business process analysis and optimization Resources for learning more about reliability, policies, security, and compliance Additional course details: Nexus Humans Preparing for the Professional Data Engineer Examination 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 Preparing for the Professional Data Engineer Examination 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 2 Days 12 CPD hours This course is intended for This introductory-level course is intended for Business Analysts and Data Analysts (or anyone else in the data science realm) who are already comfortable working with numerical data in Excel or other spreadsheet environments. No prior programming experience is required, and a browser is the only tool necessary for the course. Overview This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Throughout the hands-on course students, will learn to leverage Python scripting for data science (to a basic level) using the most current and efficient skills and techniques. Working in a hands-on learning environment, guided by our expert team, attendees will learn about and explore (to a basic level): How to work with Python interactively in web notebooks The essentials of Python scripting Key concepts necessary to enter the world of Data Science via Python This course introduces data analysts and business analysts (as well as anyone interested in Data Science) to the Python programming language, as it?s often used in Data Science in web notebooks. This goal of this course is to provide students with a baseline understanding of core concepts that can serve as a platform of knowledge to follow up with more in-depth training and real-world practice. This course introduces data analysts and business analysts (as well as anyone interested in Data Science) to the Python programming language, as it's often used in Data Science in web notebooks. This goal of this course is to provide students with a baseline understanding of core concepts that can serve as a platform of knowledge to follow up with more in-depth training and real-world practice. Additional course details: Nexus Humans Python for Data Science Primer: Hands-on Technical Overview (TTPS4872) 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 Python for Data Science Primer: Hands-on Technical Overview (TTPS4872) 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 4 Days 24 CPD hours This course is intended for This course is intended for: Network administrators Network engineers with little or no programming or Python experience Network managers Systems engineers Overview After taking this course, you should be able to: Create a Python script Describe data types commonly used in Python coding Describe Python strings and their use cases Describe Python loops, conditionals, operators, and their purposes and use cases Describe Python classes, methods, functions, namespaces, and scopes Describe the options for Python data manipulation and storage Describe Python modules and packages, their uses, and their benefits Explain how to manipulate user input in Python Describe error and exception management in Python Describe Python code debugging methods The Programming for Network Engineers (PRNE) v2.0 course is designed to equip you with fundamental skills in Python programming. Through a combination of lectures and lab experience in simulated network environments, you will learn to use Python basics to create useful and practical scripts with Netmiko to retrieve data and configure network devices. Upon completion of this course, you should have a basic understanding of Python, including the knowledge to create, apply, and troubleshoot simple network automation scripts. Course Outline Introducing Programmability and Python for Network Engineers Scripting with Python Examining Python Data Types Manipulating Strings Describing Conditionals, Loops, and Operators Exploring Classes, Methods, Functions, Namespaces, and Scopes Exploring Data Storage Options Exploring Python Modules and Packages Gathering and Validating User Input Analyzing Exceptions and Error Management Examining Debugging Methods Course Summary

Duration 2 Days 12 CPD hours This course is intended for System installers System integrators System administrators Network administrators Overview After taking this course, you should be able to: Describe the Cisco SD-Branch solution and its architecture Explain the hardware components of the Cisco ENCS 5400 and Cisco Catalyst 8200 Series Edge Universal Customer Premises Equipment (uCPE) Install and access the Cisco Enterprise NFVIS on Cisco ENCS 5400 Understand the VNF Lifecycle management and its deployment Identify Cisco Enterprise NFVIS Security considerations Explain the Cisco SD-WAN solution and its components Describe the Cisco ENCS orchestrations systems and Representational State Transfer (REST) APIs Deploy the Cisco ENCS using orchestrators Monitor and troubleshoot Cisco ENFV components using Cisco vManage The Implementing Cisco Enterprise SD-Branch (ENSDBI) v1.0 course is designed to teach you to understand the Cisco© Software-Defined (SD)-Branch architecture and Cisco Enterprise Network Functions Virtualization (ENFV) solution. Through a series of in-person or e-learning lectures and labs, you will learn about the supported hardware platforms with a focus on the components, installation, and upgraded workflows of the Cisco Enterprise Network Compute System (ENCS) 5400 series. Additionally, this course will help you build your skills on Virtual Network Functions (VNF) deployment and orchestration solutions on Cisco ENCS. Course Outline Introducing Cisco SD-Branch Architecture and Cisco ENFV Solution Preparing Cisco ENCS Device for Deployment Deploying VNFs on Cisco ENCS Working with Cisco ENCS Orchestration Monitoring and Managing Cisco ENFV Components Additional course details: Nexus Humans Cisco Implementing Cisco Enterprise SD-Branch v1.0 (ENSDBI) 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 Cisco Implementing Cisco Enterprise SD-Branch v1.0 (ENSDBI) 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 4 Days 24 CPD hours This course is intended for This basic course is for business data analysts who want to profile and assess data using Information Analyzer, also data quality analysts who need to measure data quality. Overview Analyze data structures to determine agreement with documented metadataDiscover data anomaliesIdentify invalid and incomplete data valuesDetermine potential primary keys to table structuresAdd business meaning to dataProduce deliverables that can be used by business users and ETL developersConfigure Information AnalyzerAdminister the Information Analyzer environmentUnderstand security considerations around data analysisUnderstand the methodology supporting data analysisUse Information Analyzer to analyze data content and structureUse Information Analyzer to construct data rules and utilize IBM-supplied data rule templates In this course, you will learn how to use the IBM InfoSphere suite to analyze data and report results to business users. Course Outline Information Analysis concepts Information Server overview Information Analyzer overview Information Analyzer Setup Column analysis Concepts Basic data profiling techniques in practice Data profiling techniques Primary key analysis Concepts Basic data profiling techniques in practice Foreign key and cross domain analysis Concepts Basic data profiling techniques in practice Baseline analysis Reporting and publishing Extending the meta data using Information Governance Catalog and Information Analyzer Data Rules and Metrics Additional course details: Nexus Humans KM803 IBM Information Analyzer Essentials v11.5 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 KM803 IBM Information Analyzer Essentials v11.5 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 2 Days 12 CPD hours This course is intended for Executives, Project Managers, Business Analysts, Business and IT stakeholders working with analysts, Quality and process engineers, technicians, corrective action coordinators or managers; supervisors, team leaders, and process operators; anyone who wants to improve their ability to solve recurring problems. Overview Learn how to initiate a root cause analysis and gather data for investigating process and non-process incidentsDemonstrate how to collect data through interviews and analysisApply powerful techniques to identify and know the difference between symptoms and root causesLearn to know when to use the appropriate technique in root cause identification Learn how to avoid future incidents by developing appropriate recommendations to address causal factors and root causes Develop a process to identify systemic problem areas In this course, participants will learn to apply several practical, systematic methods for analyzing incidents and problems to uncover root causes. Understanding of these techniques will be reinforced by classroom exercises. Introduction & Objectives What is a 'Problem?' Why Problems Persist What is A Root Cause? Why Root Causes are important How to Organize for an RCA RCA Roles and Responsibilities Assemble your RCA Team Modes of Communication How to Resolve Conflict Case Study Exercise Select the Problem to Analyze Define the selection criteria Plan and estimate tasks for the team Finalize the plan and gain agreement among your stakeholders Case Study Exercise Define the Problem What to look for - Problem-as-Given (PAG) vs. Problem-as-Understood (PAU) Developing your problem statement Refining the problem specification Case Study Exercise Identify the Source of the Problem Discuss when to use the appropriate analysis technique to determine the problem source Process Diagram Forms & Checklists Statistical Sampling Fishbone Diagram Surveys Charts - Line, Scatter, Bar, & Pie Case Study Exercise Solution Options Analysis & Selecting the 'Best Fit' How to approach different solution options Brainstorming Weighted Evaluation Selecting the appropriate option Hold an Retrospective on your approach Planning the proposal Case Study Exercise Putting RCA into Practice Create a Root Cause Analysis program within your organization How to develop appropriate recommendations to address root causes at various levels to avoid future incidents Additional course details: Nexus Humans BA10 - Understanding Root Cause Analysis 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 BA10 - Understanding Root Cause Analysis 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 Telco cloud system administrators and telco network operations engineers Professionals who work with telco or enterprise and data center networks Designers and operations engineers who manage telco workloads Overview By the end of the course, you should be able to meet the following objectives: List VMware Telco Cloud Automation deployment options and procedures Describe the VMware Telco Cloud Automation infrastructure settings Configure Containers as a Service (CaaS) functionality Describe partner integration options and procedures Define zero-touch provisioning and describe infrastructure deployment Instantiate network services and network functions Describe the authorization model of VMware Telco Cloud Automation Define platform life cycle management (LCM) for VMware Telco Cloud Automation Enumerate troubleshooting concepts and day-two operations for VMware Telco Cloud Automation Describe the use of APIs within VMware Telco Cloud Automation List examples of how VMware Telco Cloud Automation can be used in a CICD environment This five-day, hands-on training course provides you with the advanced knowledge, skills, and tools to achieve competency in operating and troubleshooting the VMware Telco Cloud AutomationTM environment. In this course, you are introduced to VMware Telco Cloud Automation infrastructure settings, deployment options, and procedures. You explore Containers as a Service and understand the workflow details of Partner Integration processes. You are introduced to zero-touch provisioning and its importance in VMware Telco Cloud Automation. You onboard and instantiate network functions and network services using hands-on lab exercises. Course Introduction Introductions and course logistics Course objectives VMware Telco Cloud Automation Installation Describe day-zero operations for VMware Telco Cloud Automation Describe the VMware Telco Cloud Automation architecture List the steps to perform VMware Telco Cloud Automation deployment List the steps to perform VMware Telco Cloud Automation control plane integration Describe VMware Telco Cloud Automation control plane scaling Describe the requirements on other applications such as VMware vRealize© Orchestrator? and Harbor Describe where, when, and how to use VMware Telco Cloud Automation tagging Day One Operations: Infrastructure Settings Describe the VMware Telco Cloud Automation infrastructure options Describe VMware Telco Cloud Automation infrastructure requirements Outline the role of virtual infrastructure and TCA Identify the benefits of public versus private infrastructure List the steps to integrate a VM-based virtual infrastructure List the steps to integrate a container-based virtual infrastructure Describe private infrastructure requirements Day One Operations: Containers as a Service Define Containers as a Service (CaaS) List the challenges of CNF deployment without automation Describe the Kubernetes and VMware Tanzu? Kubernetes Grid? architectures Describe supporting technologies like Cluster API List steps to create a Kubernetes cluster template Describe the process for deploying node pools and groups Describe cluster monitoring List CaaS scale options Day One Operations: Partner Integration Describe partner integration and the types of partners Describe Harbor and the various Harbor platforms List the steps to interface with a Harbor platform Compare and contrast specialized VNF managers (S-VNFMs) and generic VNF managers (G-VNFMs) Explain how to add an S-VNFM Define S-VNFM use cases Day One Operations: Zero Touch Provisioning and Infrastructure Deployment Describe zero-touch provisioning List the use cases of zero-touch provisioning List the benefits of zero-touch provisioning Describe the infrastructure requirements of zero-touch provisioning Describe the zero-touch provisioning domains List the steps to deploy an infrastructure using zero-touch provisioning Day One Operations: Network Functions ad Network Services Describe the roles of network services and network functions List the types of descriptors Describe the role of TOSCA Describe the role of onboarding List the steps to onboard network functions and network services Examine the results of the onboarding process List the steps to instantiate network functions and network services Examine the results of the instantiation process Day Two Operations: Authorization Model Explain the resources that can be accessed in vSphere Define the role of a VMware vCenter Server© system in credential management Describe the procedures to create, delete, and modify rules using vCenter Server Explain how to control and verify access to vSphere resources List roles in VMware Telco Cloud Automation Explain the tasks and list the levels of permissions needed in VMware Telco Cloud Automation List all the permissions and filters that can be implemented in VMware Telco Cloud Automation Summarize the role-based access control model of VMware Telco Cloud Automation Day Two Operations: Platform Life Cycle Management Explain the life cycle stages in VMware Telco Cloud Automation control plane Explain the life cycle stages in VMware Telco Cloud Automation Define an upgrade schedule Apply an upgrade schedule to manage life cycle management of the VMware Telco Cloud Automation control plane Apply an upgrade schedule to manage life cycle management of VMware Telco Cloud Automation Describe network function and network service life cycle management events Execute network function and network service healing Set up Network Function and Network Service monitoring Perform Network Function and Network Service termination Day Two Operations: Troubleshooting List the components of the VMware Telco Cloud Automation dashboard Explain the features of fault management in VMware Telco Cloud Automation Explain the features of performance management in VMware Telco Cloud Automation Describe the use of fault management of VMware Telco Cloud Automation for VNFs and CNFs Describe the use of performance management of VMware Telco Cloud Automation for VNFs and CNFs Troubleshoot using tcf_manager, app.log, and web.log Define the procedures to integrate VMware vRealize© Operations Manager? with VMware Telco Cloud Automation Usage of VMware vRealize© Operations? Day Two Operations: API Management Define the VMware Telco Cloud Automation API Explain the API architecture Describe VMware Telco Cloud Automation API use cases Explain how to configure an external REST API Describe how to request security tokens for implementation Explain how to implement commands through external systems using APIs Day Two Operations: Continuous Integration and Continuous Delivery Describe continuous integration and continuous delivery (CICD) List the benefits and challenges of CICD Describe how VMware Telco Cloud Automation can be used in a CICD environment Explore VMware Telco Cloud Automation CICD examples

Duration 3 Days 18 CPD hours This course is intended for This course is designed for any individual who might need to perform project management activities in their job role on either a formal or informal basis, or any individual who wants to build upon their current project management knowledge to be more productively involved on a project team. This course is not specifically designed for students who are seeking project management-related certification. Rather, it is designed to introduce a structure to help students more effectively manage projects as well as participate fully on a project team. Overview In this course, you will apply recognized practices of project management to manage a project from start to finish. You will: - Identify the basic concepts of project management. - Launch a project. - Estimate project work. - Create a project schedule. - Plan project costs. - Plan for project risks. - Plan for project quality and compliance. - Manage human and physical resources for the project. - Manage project procurements. - Plan for change management and monitor the project scope. - Monitor and optimize project schedule and cost. - Monitor the quality of the project work and the risks involved. - Plan communication strategies and manage stakeholder relationships. - Close a project. If you are taking this course, you probably have some exposure to managing projects, or you may be considering embarking on a career as a professional project manager. Your ability as a project manager to demonstrate best practices in project management on the job is becoming the standard to compete in today's fast-paced and highly technical workplace. In this course, you will apply the generally recognized practices of project management to successfully manage projects. Project managers are always under severe pressure to complete projects on time and within budget. However, most projects fail to meet these demands, and, as a result, many projects are terminated early. Successful project management requires knowledge and experience. This course is designed to provide you with the skills needed to be a successful project manager in today's rapidly changing world. The skills and knowledge you gain in this course will help you avoid making costly mistakes and increase your competitive edge in the project management profession. Getting Started with Project Management Define Project Management Basics Identify Influencing Factors Define Project Management Certifications Launching Projects How Organizations Choose the Right Project Identify Project Stakeholders and Their Expectations Authorize a Project Identify the Project Scope Estimating Project Work Develop a WBS Identify the Relationships Between Work Packages Identify Resources Estimate Time Creating a Project Schedule Develop a Project Schedule Create a Schedule Baseline Planning Project Costs Establish Project Costs Establish the Cost Baseline Reconcile Funding and Costs Planning for Risk Create a Risk Management Plan Identify Risks and Their Causes Analyze Risks Develop a Risk Response Plan Planning for Quality and Compliance Deliver the Desired Project Results Verify Compliance Requirements Managing the Project Team Plan Your Project Team Assemble the Team Develop the Team Manage the Team Managing Project Procurements Plan for Project Procurements Obtain Responses from Vendors Select the Right Vendor Manage Vendors and Procurements Managing Change During Project Execution Prepare for Project Execution Manage Project Changes Monitor the Project Scope Monitoring and Controlling Project Schedule and Cost Monitor and Control the Project Schedule Optimize the Project Schedule Monitor and Control Project Cost Monitoring and Controlling Risk and Quality Monitor and Control Risks Put Quality Plans into Action Control Project Quality Communicating and Reporting Communicate During a Project Distribute Project Information Manage Stakeholder Relationships and Expectations Report on Project Performance Closing the Project Deliver the Final Product Close Project Procurements Close the Project

Duration 4 Days 24 CPD hours This course is intended for This course is geared for experienced skilled Java developers, software developers, data scientists, machine learning experts or others who wish to transtion their coding skills to Scala, learning how to code in Scala and apply it in a practical way. This is not a basic class. Overview Working in a hands-on learning environment led by our expert instructor you'll: Get comfortable with Scala's core principles and unique features, helping you navigate the language confidently and boosting your programming skills. Discover the power of functional programming and learn techniques that will make your code more efficient,maintainable, and enjoyable to write. Become proficient in creating dynamic web applications using the Play Framework, and easily connect to databases with the user-friendly Slick library. Master concurrency programming with Akka, empowering you to build scalable and fault-tolerant applications that excel in performance. Enhance your testing skills using ScalaTest and ScalaCheck, ensuring the reliability and quality of your Scala applications, while having fun in the process. Explore the fascinating world of generative AI and GPT technologies, and learn how to integrate them into your projects,adding a touch of innovation and intelligence to your Scala solutions. If your team requires different topics, additional skills or a custom approach, our team will collaborate with you to adjust the course to focus on your specific learning objectives and goals. Discover the power of Scala programming in our comprehensive, hands-on technical training course designed specifically for experienced object-oriented (OO) developers. Scala is a versatile programming language that combines the best of both OO and functional programming paradigms, making it ideal for a wide range of projects, from web applications to big data processing and machine learning. By mastering Scala, you'll be able to develop more efficient, scalable, and maintainable applications. Fast Track to Scala Programming for OO / Java Developers is a four day hands-on course covers the core principles of Scala, functional programming, web application development, database connectivity, concurrency programming, testing, and interoperability between Scala and Java. Additionally, you'll explore cutting-edge generative AI and GPT technologies, learning how to integrate them into your Scala applications for intelligent suggestions or automation. Throughout the course you?ll explore the latest tools and best practices in the Scala ecosystem, gaining valuable knowledge and experience that can be directly applied to your day-to-day work. With 50% of the course content dedicated to hands-on labs, you'll gain practical experience applying the concepts you've learned across various projects, such as building functional web applications, connecting to databases, designing modular components, and implementing concurrency. Upon completing the course, you'll have a solid understanding of the language and its features, empowering you to confidently apply your new skills in data science and machine learning projects. You'll exit well-prepared to create efficient, scalable, and maintainable Scala applications, regardless of the complexity of your projects. Introduction to Scala Scala features and benefits Comparing Scala with Java and other OO languages Installing Scala and setting up the development environment Object-Oriented Programming in Scala Classes and objects Traits, mixins, and inheritance Companion objects and factories Encapsulation and polymorphism Functional Programming Basics Pure functions and referential transparency Higher-order functions and currying Immutability and persistent data structures Pattern matching and recursion Having Fun with Functional Data Structures Lists, sets, and maps in Scala Folding and reducing operations Stream processing and lazy evaluation For-comprehensions Building Web Applications in Functional Style Introduction to Play Framework Functional web routing and request handling JSON handling with Play-JSON Middleware and functional composition Connecting to a Database Introduction to Slick library Database configuration and setup Querying and updating with Slick Transactions and error handling Building Scalable and Extensible Components Modular architecture and design patterns Dependency injection with MacWire Type classes and type-level programming Implicit parameters and conversions Concurrency Programming & Akka Introduction to Akka framework and Actor model Actor systems and message passing Futures and Promises Supervision and fault tolerance Building Confidence with Testing Introduction to ScalaTest and ScalaCheck Unit testing and property-based testing Test-driven development in Scala Mocking and integration testing Interoperability between Scala and Java Calling Java code from Scala Using Java libraries in Scala projects Converting Java collections to Scala collections Writing Scala code that can be called from Java Using Generative AI and GPT Technologies in Scala Programming Overview of GPT and generative AI Integrating GPT with Scala applications Use cases and practical examples

Duration 5 Days 30 CPD hours This course is intended for Experienced system administrators and network administrators Overview By the end of the course, you should be able to meet the following objectives: Describe the NSX Advanced Load Balancer architecture Describe the NSX Advanced Load Balancer components and main functions Explain the NSX Advanced Load Balancer key features and benefits Deploy and configure the NSX Advanced Load Balancer infrastructure within private or public clouds using Write and No-Access Cloud Connectors Explain, deploy, and configure Service Engines Explain and configure local load balancing constructs such as virtual services, pools, health monitors, and related components Explain and configure advanced virtual services and related concepts such as Subject Name Indication, Enhanced Virtual Hosting, and authentication of virtual services Explain and modify application behavior through profiles, policies, and DataScripts Describe Central licensing management using VMware NSX Advanced Load Balancer Enterprise with Cloud services (formerly Avi Pulse) Explain how to configure Role-Based Access Control (RBAC) in NSX Advanced Load Balancer Configure advanced services such as global server load balancing Describe how to use NSX Advanced Load Balancer REST API interfaces and related automation capabilities Describe and configure NSX Advanced Load Balancer application and infrastructure monitoring Gather relevant information and perform basic troubleshooting of applications that use built-in NSX Advanced Load Balancer tooling Identify the key features of VMware NSX Network Detection and Response This five-day, fast-paced course provides comprehensive training to install, configure, and manage a VMware NSX Advanced Load Balancer (Avi Networks) solution. This course covers key NSX Advanced Load Balancer (Avi Networks) features and functionality offered in the NSX Advanced Load Balancer 21.x release. Features include the overall infrastructure, virtual services, application components, global server load balancing, various cloud connectors, application troubleshooting, and solution monitoring. Hands-on labs provide access to a software-defined data center environment to reinforce the skills and concepts presented in the course. Course Introduction Introduction and course logistics Course objectives Introduction to NSX Advanced Load Balancer Introduce NSX Advanced Load Balancer Discuss NSX Advanced Load Balancer use cases and benefits Explain NSX Advanced Load Balancer architecture and components Explain the management, control, data, and consumption planes and their respective functions Virtual Services Configuration Concepts Explain virtual service components Explain virtual service types Explain and configure basic virtual service components such as application profiles and network profiles Virtual Services Configuration Advanced Concepts Explain the virtual service advanced components such as Wildcard VIP, Server Name Identification (SNI), and Enhanced Virtual Hosting (EVH) Explain the concept of virtual service VIP Sharing Explain different authentication mechanisms used for a virtual service such as LDAP, SAML, JSON Web Token, and OAUTH Profiles and Policies Explain application profiles and types such as L4, DNS, Syslog, HTTP, and VMware Horizon VDI Explain and configure advanced application HTTP profile options Describe network profiles and types Explain and configure SSL profiles and certificates Explain and configure HTTP, network, and DNS policies Pools Configuration Concepts Explain pools configuration options Describe the available load balancing algorithms Explain multiple health monitor types Explain multiple Persistence profiles Explain and configure pool groups Modifying Application Behavior Design and apply application solutions by using application profiles Design and apply application solutions by using network, HTTP policies, and DataScripts Explain DataScript fundamentals Explain and use NSX Advanced Load Balancer analytics to understand application behavior Describe and configure client SSL certificate validation Describe and configure virtual service DDoS, Rate limiting, and Throttling capabilities Modify network profile properties such as TCP connection properties Design and apply application solutions by using Persistence profiles NSX Advanced Load Balancer Infrastructure Architecture Explain management, control, data, and consumption planes and functions Describe control plane clustering and high availability Describe controller sizing and process sharing Describe Service Engine CPU and NIC architecture Explain tenants Configure properties of Service Engine groups Explain Service Engine group high availability modes Describe and configure active-standby high availability mode Explain Service Engine placement in multiple availability zones for public clouds Describe and configure elastic HA high availability mode (Active-Active, N+M) Explain Service Engine failure detection and self-healing Describe Service Engine as a router Explain virtual service scale-out options such as Layer 2 (Native), Layer 3 (BGP), and DNS-based Describe how to upgrade NSX Advanced Load Balancer Introduction to Cloud Connector Explain cloud connectors Review cloud connector integration modes List cloud connector types Review the different Service Engine image types in different ecosystems Installing, Configuring, and Managing NSX Advanced Load Balancer in No-Orchestrator Cloud Explain No-Access cloud concepts Configure No-Access cloud integration on bare metal Explain and configure Linux Server Cloud Explain and configure VMware No Orchestrator Describe the advanced configuration options available in bare metal (Linux Server Cloud) Installing, Configuring, and Managing NSX Advanced Load Balancer in VMware Environment: Cloud Configuration Introduce VMware integration options Explain and configure VMware Write Access Cloud Connector Explain NSX Advanced Load Balancer integration options in a VMware NSX environment Explain and configure NSX Cloud Connector for Overlay and VLAN-backed segments AWS Cloud Configuration Describe NSX Advanced Load Balancer public cloud integrations Explain different AWS components Explain and demonstrate AWS public cloud integration Deploy VMware NSX Advanced Load Balancer Controller, SEs, and virtual services in AWS Cloud Review Multi-AZ Support for virtual services in AWS cloud GCP Cloud Configuration Explain different GCP components Explain and demonstrate GCP public cloud integration Deploy NSX Advanced Load Balancer Controller, SEs, and virtual services in GCP cloud Azure Cloud Configuration Describe NSX Advanced Load Balancer public cloud integrations Explain different Microsoft Azure components Explain and demonstrate Azure public cloud integration Deploy NSX Advanced Load Balancer Controller, SEs, and virtual services in Azure Cloud NSX Advanced Load Balancer Enterprise with Cloud Services (Avi Pulse) Describe NSX Advanced Load Balancer public cloud services Explain different features of NSX Advanced Load Balancer Cloud Services Register the controller with Cloud Services DNS Foundations Review, discuss, and explain DNS fundamentals Describe NSX Advanced Load Balancer DNS and IPAM providers Global Server Load Balancing (GSLB) Introduce Global Server load balancing concepts and benefits Explain and configure the NSX Advanced Load Balancer infrastructure Explain and configure the DNS Virtual Service components Explain and configure GSLB Service Engine Group Describe and configure GSLB sites Explain and configure basic GSLB services to include pools and health monitors Describe GSLB Server Load Balancing algorithms Explain and configure health monitors based on data plane and control plane Describe GSLB Health Monitor Proxy Explain GSLB Site-Cookie Persistence Explain the different GSLB replication methods Role-Based Access Control (RBAC) Introduce local authentication in NSX Advanced Load Balancer Introduce remote authentication in NSX Advanced Load Balancer Review the different types of remote authentication Explain granular RBAC using labels NSX Advanced Load Balancer: Troubleshooting Introduce infrastructure and application troubleshooting concepts Describe troubleshooting based on control plane and data plane Explain application analytics and logs Describe client logs analysis Explain headers troubleshooting and packet capture mechanism Describe how to use CLI for detailed data plane troubleshooting Explain Service Engine logs Explain health monitors troubleshooting Explain BGP session troubleshooting Describe control plane troubleshooting, clustering, and cloud connector issues Events and Alerts Describe NSX Advanced Load Balancer events Describe and configure NSX Advanced Load Balancer alerts Describe NSX Advanced Load Balancer monitoring capabilities with SNMP, Syslog, and Email Introduction to NSX Advanced Load Balancer Rest API Introduce the NSX Advanced Load Balancer REST API interface Describe REST API Object Schema Explain and interact with REST API interface with