4166 Pha courses delivered Online

Duration 2 Days 12 CPD hours This course is intended for Participants who have actual experience in the data centre and/or IT infrastructures are best suited. Attendance of the CDCP© course is recommended but not a requirement. Overview After completion of the course the participant will be able to: 1. Develop and review their data centre strategy 2. Use different risk assessment methodologies together with practical tips specifically for data centre migrations to reduce the risk during a data centre migration 3. Understand different migration strategies 4. Understand the legal aspects when migrating a data centre 5. Understand the importance of Business Service Reviews and Service Level Objectives 6. Size and design the target data centre 7. Understand the importance of detailed discovery and how dependencies influence migration waves 8. Understand the safety requirements during migration 19. Get lots of practical tips when moving to another data centre This course is designed to expose participants to a step-by-step methodology which will enable them to reduce the risks involved when undertaking a data centre migration. It will also give participants a lot of valuable practical hints and tips by trainers having extensive experience in moving and consolidating mission critical data centre. Data Centre Strategy Data centre lifecycle Reasons to migrate a data centre Alternatives to data centre migration Consolidation Outsourcing Cloud computing Upgrade existing data centre or build new Project Management Project management and methods Scope statement Statement Of Work (SOW) Work Breakdown Structure (WBS) Allocate time to the project Cost and estimation methodology Project communication Risk Management Risk management and methods Risk identification Risk assessment methodologies Qualitative approach Semi-quantitative approach Quantitative approach Risk evaluation Risk treatment Risk in data centre migrations Migration Strategies Different data centre migration strategies Heterogeneous migration Homogeneous migration Physical migration Different IT transformations Pre-migration transformation Migration transformation Post-migration transformation Legal Aspects Regulatory requirements Contractual considerations Legal aspects when decommissioning High Level Discovery & Planning The importance of Business Service Reviews The concept of Availability The concept of Recoverability The importance of Service Level Objectives Requirements on designing the target IT architecture Information needed for high level planning Design Target Data Centre Requirements for the target data centre Sizing the data centre Architectural requirements Cooling requirements Power requirements Security Detailed Discovery and Planning The importance of discovery Automated discovery tools Asset management Network and system dependencies Detailed migration planning Migration waves Staffing Warranties and insurance Safety Safety precautions Technical safety review Electrical safety Lifting Personal safety during migration Fire safety during migration Security Controversy between access and security Access control Managing security during migration Security during migration Key management Practical hints and tips Continuous improvement Implementation Rehearsal Route investigation Resourcing Logistics team Packing Transport Installing the equipment Post migration support End of Project Why project closure Lessons learned Phased completion of project Criteria for project closure The outcome of the project End of project Exam: Certified Data Centre Migration Specialist Actual course outline may vary depending on offering center. Contact your sales representative for more information.

Duration 5 Days 30 CPD hours This course is intended for For those seeing to prepare for CCIE Enterprise Infrastructure certification Overview This course will help prepare for CCIE Enterprise Infrastructure certification The new CCIE Enterprise Infrastructure certification program prepares you for today?s expert-level job roles in enterprise infrastructure technologies. CCIE Enterprise Infrastructure now includes automation and programmability to help you scale your enterprise infrastructure. VTP VTP and different versions Pruning EtherChannel LACP Layer 2 and Layer 3 Spanning Protocol 1d, 802.1w, and 802.1s SPAN, RSPAN, and ERSPAN DMVPN All Phases Redundancy: Two Clouds One Hub Two Hubs one Cloud Two hubs two Clouds Running Routing Protocols DMVPN over MPLS EIGRP RD, CD, S, FC, FS, and FD Configuration, and hidden debugging Authentications: MD5, and SHA, Summarization Load Balancing:Equal Cost, Unequal Cost, Add-Path, Filtering, Default Route Injection Optimization: Query Propagation Boundary, IP FRR, STUB routing (All Options) Metric: Classic, Wide Metric Route Tags: Decimal and Dotted-Decimal Notations, OTP OSPFv2 Overview and special cases GRE or Virtual-Links LSAs, FA, and RFCs (1583, 1587, 2328, 3101, 5185 and many more) Best Path Selection Network Types Area Types Optimization: GTSM, LFA, Default Route Injection Authentication: RFC 2328, RFC 5709, Summarization, Filtering BGP States Establishing a Peer Session: Regular method,Peer-Groups,Templates,Best Path Selection Attributes: Weight, AS-Path, Origin, Next-Hop, Local-Preference, Atomic-Aggregate Communities, Aggregator, and MED Load Balancing: Equal Cost,Unequal Cost,Conditional Advertisement,Out/In Bound Route Filtering and the order,ORF,Multihoming Scenarios AS-Path Manipulation: Regexp,Local-as,Allow-as,Remove-Private-as Convergence and Scalability: Route Reflectors,Confederation,Aggregation (All Options) Other BGP Features: MultiPath,Add-Path,Route-Refresh,Soft Reconfiguration IPv6 Acquiring an IPv6 Address: IPv6 General Prefix SLAAC DHCPv6 Rapid-Commit Relay Prefix Delegation IPv6 and DMVPN EIGRPv6 OSPFv3: Both flavors, LSAs, RFCs BGP for IPv6: IPv6 transport, and IPv4 route exchange Transitional Solutions: NAT-PT,6VPE,Multicast,MLD,Static RP,BSR,Embedded RP,IPv6 Traffic Filters,RA Guard,ND Inspection MPLS LDP, VRFs, RD, and RT L3VPNs Route Leaking PE to CE Routing Security Control Plane Policing VACLs Storm Control DHCP Snooping IP Source Guard DAI Private VLANs Port Security Access-lists uRPF Device Tracking IPsec Identity Use Case For FlexVPN: Site-to-Site, IKEv1, and IKEv2 Using Preshared Keys 1x Port Base Authentication : Device Roles,Port States,Authentication Process,Host Modes Network Services FHRP: HSRP, VRRP, and GLBP NAT: Static NAT, and PAT,Dynamic NAT,Policy-Base NAT,VRF-Aware NAT,VASI NAT Software Defined Infrastructure Cisco SD Access: Design a Cisco SD Access solution Underlay network (IS-IS, manual/PnP) Overlay fabric design (LISP, VXLAN, Cisco TrustSec) Fabric domains (single-site and multi-site using SD-WAN transit) Cisco SD Access deployment: Cisco DNA Center device discovery and device management Add fabric node devices to an existing fabric Host onboarding (wired endpoints only) Fabric border handoff Segmentation Macro-level segmentation using VNs Micro-level segmentation using SGTs (using Cisco ISE) Assurance Network and client health (360) Monitoring and troubleshooting Cisco SD-WAN: Design a Cisco SD-WAN solution Orchestration plane (vBond, NAT) Management Plane (vManage) Control Plane (vSmart, OMP) Data Plane (vEdge/cEdge) WAN edge deployment Onboarding new edge routers Orchestration with zero-touch provisioning/PnP OMP TLOC Configuration templates Localized policies (only QoS) Centralized policies Application aware Routing Topologies

Duration 4 Days 24 CPD hours This course is intended for This course is intended for: Developers Solutions Architects Data Engineers Anyone with little to no experience with ML and wants to learn about the ML pipeline using Amazon SageMaker Overview In this course, you will learn to: Select and justify the appropriate ML approach for a given business problem Use the ML pipeline to solve a specific business problem Train, evaluate, deploy, and tune an ML model using Amazon SageMaker Describe some of the best practices for designing scalable, cost-optimized, and secure ML pipelines in AWS Apply machine learning to a real-life business problem after the course is complete This course explores how to use the machine learning (ML) pipeline to solve a real business problem in a project-based learning environment. Students will learn about each phase of the pipeline from instructor presentations and demonstrations and then apply that knowledge to complete a project solving one of three business problems: fraud detection, recommendation engines, or flight delays. By the end of the course, students will have successfully built, trained, evaluated, tuned, and deployed an ML model using Amazon SageMaker that solves their selected business problem. Module 0: Introduction Pre-assessment Module 1: Introduction to Machine Learning and the ML Pipeline Overview of machine learning, including use cases, types of machine learning, and key concepts Overview of the ML pipeline Introduction to course projects and approach Module 2: Introduction to Amazon SageMaker Introduction to Amazon SageMaker Demo: Amazon SageMaker and Jupyter notebooks Hands-on: Amazon SageMaker and Jupyter notebooks Module 3: Problem Formulation Overview of problem formulation and deciding if ML is the right solution Converting a business problem into an ML problem Demo: Amazon SageMaker Ground Truth Hands-on: Amazon SageMaker Ground Truth Practice problem formulation Formulate problems for projects Module 4: Preprocessing Overview of data collection and integration, and techniques for data preprocessing and visualization Practice preprocessing Preprocess project data Class discussion about projects Module 5: Model Training Choosing the right algorithm Formatting and splitting your data for training Loss functions and gradient descent for improving your model Demo: Create a training job in Amazon SageMaker Module 6: Model Evaluation How to evaluate classification models How to evaluate regression models Practice model training and evaluation Train and evaluate project models Initial project presentations Module 7: Feature Engineering and Model Tuning Feature extraction, selection, creation, and transformation Hyperparameter tuning Demo: SageMaker hyperparameter optimization Practice feature engineering and model tuning Apply feature engineering and model tuning to projects Final project presentations Module 8: Deployment How to deploy, inference, and monitor your model on Amazon SageMaker Deploying ML at the edge Demo: Creating an Amazon SageMaker endpoint Post-assessment Course wrap-up Additional course details: Nexus Humans The Machine Learning Pipeline 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 The Machine Learning Pipeline 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.

Duration 3 Days 18 CPD hours This course is intended for This course is aimed at anyone who wants to harness the power of data analytics in their organization including: Business Analysts, Data Analysts, Reporting and BI professionals Analytics professionals and Data Scientists who would like to learn Python Overview This course teaches delegates with no prior programming or data analytics experience how to perform data manipulation, data analysis and data visualization in Python. Mastery of these techniques and how to apply them to business problems will allow delegates to immediately add value in their workplace by extracting valuable insight from company data to allow better, data-driven decisions. Outcome: After attending this course, delegates will: Be able to write effective Python code Know how to access their data from a variety of sources using Python Know how to identify and fix data quality using Python Know how to manipulate data to create analysis ready data Know how to analyze and visualize data to drive data driven decisioning across your organization Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. These programming languages are some of the most powerful and flexible tools in the data analytics toolkit. From business questions to data analytics, and beyond For data analytics tasks to affect business decisions they must be driven by a business question. This section will formally outline how to move an analytics project through key phases of development from business question to business solution. Delegates will be able: to describe and understand the general analytics process. to describe and understand the different types of analytics can be used to derive data driven solutions to business to apply that knowledge to their business context Basic Python Programming Conventions This section will cover the basics of writing R programs. Topics covered will include: What is Python? Using Anaconda Writing Python programs Expressions and objects Functions and arguments Basic Python programming conventions Data Structures in Python This section will look at the basic data structures that Python uses and accessing data in Python. Topics covered will include: Vectors Arrays and matrices Factors Lists Data frames Loading .csv files into Python Connecting to External Data This section will look at loading data from other sources into Python. Topics covered will include: Loading .csv files into a pandas data frame Connecting to and loading data from a database into a panda data frame Data Manipulation in Python This section will look at how Python can be used to perform data manipulation operations to prepare datasets for analytics projects. Topics covered will include: Filtering data Deriving new fields Aggregating data Joining data sources Connecting to external data sources Descriptive Analytics and Basic Reporting in Python This section will explain how Python can be used to perform basic descriptive. Topics covered will include: Summary statistics Grouped summary statistics Using descriptive analytics to assess data quality Using descriptive analytics to created business report Using descriptive analytics to conduct exploratory analysis Statistical Analysis in Python This section will explain how Python can be used to created more interesting statistical analysis. Topics covered will include: Significance tests Correlation Linear regressions Using statistical output to create better business decisions. Data Visualisation in Python This section will explain how Python can be used to create effective charts and visualizations. Topics covered will include: Creating different chart types such as bar charts, box plots, histograms and line plots Formatting charts Best Practices Hints and Tips This section will go through some best practice considerations that should be adopted of you are applying Python in a business context.

Duration 4 Days 24 CPD hours This course is intended for This course is for network and system administrators, IT managers, IT support personnel, and other network operations staff who are responsible for deploying new computers across their organizations, managing ongoing software and hardware configuration tasks for computers, and retiring outdated computers. Overview By the completion of this course, you will be able to: Install and configure Ghost Solution Suite 3.0. Use the Ghost Console to create and use jobs and tasks to manage computes. Configure image deployments. Manage ?unknown? and predefined computers. Perform disk wipes and create disk partitions. Create Windows scripted OS installations. Create PC transplant templates. Capture a computer personality, and deploy personality packages. Perform a computer migration from Win 7 to Win 8.1. This course is designed for the professional tasked with installing, configuring, and managing a Deployment Solution system. Overview of Endpoint Lifecycle Management Introduction to Endpoint Lifecycle Management Phases of Endpoint Lifecycle Management ELM Business Objectives and Goals ELM Solution Mapping to Business Objectives Ghost Solution Suite 3.0 Product Overview Implementation Assessment ELM Requirements Gathering Solution Analysis of ELM Requirements Implementation Design GSS 3.0 Technical Overview Installation Options and Prerequisites Defining the Solution Infrastructure Defining the ELM Solution Configuration Installation and Configuration of the ELM Solution Base Software Installation Navigating the Console Core & Solution Configuration Driver Management Pre-boot Environment Endpoint Identification & Gathering IT Requirements Overview Analyzing and Defining IT Requirements Using ELM to Forecast IT Requirements Endpoint Configuration Standards Endpoint Standards Overview Defining Endpoint Standards Implementation of Endpoint Standards Endpoint Provisioning Endpoint Provisioning Overview Standard Build and Image Methodology Software Compatibility Analysis Software Packaging requirements for use in the ELM Solution Software Quality Assurance Methodology Endpoint Deployment & Staging Endpoint Lifecycle Automation Endpoint Lifecycle Automation Scenario Exercise Backup and restore Automating the backup of a computer image Scripted OS Installation Capturing an image for deployment Automating the creation of a master image Automating the deployment of computer images Software Distribution Software Delivery Methods Software Installation Methods Understanding Software Delivery Reporting and Analysis of Software Distribution Tasks Image and Build Maintenance Image maintenance overview Restoring a computer image Capturing the updated image Updating Jobs Managing Software Upgrades Software Upgrade Process Overview Distribution of Software Updates Supporting the Business Ensuring Business Continuity in an ELM System Endpoint Restoration/Recovery Managing Service Support Activities Endpoint Monitoring & Alerting Endpoint Configuration & Maintenance Automating Problem Resolution Application Self-Healing Desired State Management Hardware Refresh & Migration Hardware Refresh & Migration Process Overview Personality Capture and Restore Gathering Current State Inventory for Requirements and Planning Activities Performing Data capture and storage activities Gathering User state or PC personality information Automating the Migration Process Endpoint Retirement/Disposal Ensuring Compliant Disposal Methods and Procedures End to End Endpoint Lifecycle Use Case Endpoint Management Lifecycle Use Case for GSS Additional course details: Nexus Humans Symantec Ghost Solution Suite 3.0 - Administration 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 Symantec Ghost Solution Suite 3.0 - Administration 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 Designed for individuals new to the business analyst role or those who supervise and/or work with business analysts. Overview Understand the role of the business analyst Discuss industry standards/resources for obtaining more information about business analysis Acquire a solid understanding of the various tasks/activities that comprises business analysis Recognize the pre and post project business analysis activities Learn how to plan, elicit, analyze, model, and test requirements This is an introductory course designed to provide students with a basic understanding of the benefits, functions and impact a business analyst has within an organization. The course discusses the business analysis process as it is applied throughout a project as well as the pre-project activities that comprise strategy analysis. Students learn how a business analyst supports the project throughout the solution development life cycle, from defining business needs and solution scope to validating that requirements have been met in the testing phase and ensuring the solution continues to provide value after implementation. Introduction to Business Analysis Business analysis defined The activities that comprise business analysis IIBA/PMI and the goals of a professional association IIBA?s BABOK© Guide and PMI?s Practice Guide in Business Analysis Exercise: Requirements challenges The IIBA? and the role of the Business Analyst Business analyst defined BA role vs. PM role Importance of communication/collaboration The deliverables produced as part of business analysis The BA career path Exercise: Review case Study Strategy Analysis and Change The definition of Strategy Analysis Components of Strategy Analysis Identifying stakeholders and business needs Exercises: Business Need development and RACI Stakeholder Identification Understanding and Defining Solution Scope Defining Solution Scope Project scope vs. product scope Defining a problem statement Techniques for defining scope Exercises: Conduct a brainwriting session and create a context diagram Optional exercise: Create a Use Case Diagram Understanding Requirements Define the term requirement Understand requirement types Present the requirements process Requirements vs. specifications and business rules Exercise: Identify Requirements Planning & Eliciting Requirements The Requirements Work Plan (RWP) Components of the RWP Identifying good questions for elicitation Active listening Categories and types of elicitation techniques Exercise: Planning for elicitation Analzying & Documenting Requirements Understanding requirements analysis The Business Requirements Document (BRD) The BRD vs. the functional requirements specification BRD components The purpose of packaging requirements Exercise: Analyzing Requirements Elicitation & Process Modeling Why models are created Objectives of modeling What is process management Understanding process modeling Modeling using BPMN AS-IS vs. TO-BE modeling BPMN subclasses BPMN simple structure Prototyping Business Process Modeling case study Exercises: Modeling and create a Prototype of your application Verifying & Validating Requirements The difference between validation and verification Characteristics of good requirements Risks associated with requirements Types of testing approaches Creating a test plan Requirements traceability matrix Verified and validated requirements Exercise: Testing Requirements Additional Resources Helpful links for obtaining additional business analysis information Additional course details: Nexus Humans BA01 - Business Analysis Essentials 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 BA01 - Business Analysis Essentials 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 3 Days 18 CPD hours This course is intended for Experienced system administrators and network administrators Customers, cloud architects, systems engineers, data center administrators Network administrators with experience in managed services or managing a Telco Cloud environment Overview By the end of the course, you should be able to meet the following objectives: Deploy VMware Telco Cloud Service Assurance Manage VMware Telco Cloud Service Assurance to satisfy Telco cloud provider needs Discuss configurable options for VMware Telco Cloud Service Assurance Identify and configure different data sources which are used with VMware Telco Cloud Service Assurance Configure different collectors in VMware Telco Cloud Service Assurance Identify the Root Cause Analysis options with VMware Telco Cloud Service Assurance Discuss data collection in VMware Telco Cloud Service Assurance Explain root cause analysis in VMware Telco Cloud Service Assurance Navigate through the logs for troubleshooting This three-day, hands-on training course provides the knowledge, skills, and tools to achieve competency in installing, configuring, and managing the VMware Telco Cloud Service Assurance environment. In this course, you are introduced to the installation methods of VMware Telco Cloud Service Assurance? across various supported platforms and troubleshooting tools that help you install, manage, and troubleshoot your VMware Telco Cloud Service Assurance environment. In addition, you are presented with various types of configuration options, which you will identify, analyze, and navigate through as you explore the UI and configurable options of the product. Course Introduction Introduction and course logistics Course objectives Introduction to VMware Telco Cloud Service Assurance Describe the features of VMware Telco Cloud Service Assurance List the capabilities of VMware Telco Cloud Service Assurance Discuss the use cases of VMware Telco Cloud Service Assurance Describe the role played by VMware Telco Cloud Service Assurance components in delivering service assurance Deploying VMware Telco Cloud Service Assurance Explain different deployment options of VMware Telco Cloud Service Assurance Identify different deployment methods of VMware Telco Cloud Service Assurance Discuss different phases in deploying VMware Telco Cloud Service Assurance Identify different footprints available for HA based and non-HA based installation of VMware Telco Cloud Service Assurance Describe the SMARTs components of VMware Telco Cloud Service Assurance Deploy VMware Telco Cloud Service Assurance User Access Control Describe the features Role-based Access Control (RBAC) Outline the role of Keycloak in implementing RBAC in VMware Telco Cloud Service Assurance Configure user federation in Keycloak Use the VMware Telco Cloud Service Assurance UI to manage RBAC Create policies in VMware Telco Cloud Service Assurance that align with job roles Services and User Interface Configurations Describe the architecture of logical switching Describe the core services on a TCSA cluster Discuss the Global Manager or Service Assurance Manager (SAM), IP Domain Manager, Server Manager (ESM) Discuss VMware Telco Cloud Service Assurance UI Overview Explain Working with Notifications Elaborate Configuring Summary's Describe Accessing Notification Details Explain Viewing and configuring Topologies List Customizing Topologies Describe Topology Explorer Explain Collecting Troubleshooting Information Discuss Custom models Describe how compute resources are provided to VMware Telco Cloud Service Assurance Describe how storage is provided to VMware Telco Cloud Service Assurance Configure and manage VMware Telco Cloud Service Assurance Discuss configurable options for VMware Telco Cloud Service Assurance Day 1 and Day 2 Operations Review the architecture of logical routing and NSX Edge nodes Identify different data sources to be used with VMware Telco Cloud Service Assurance Configure different collectors with VMware Telco Cloud Service Assurance Describe Alarms and Thresholds Demonstrate how to configure alarms with VMware Telco Cloud Service Assurance Explain how to setup thresholds and timelines in VMware Telco Cloud Service Assurance Define Catalog management and sharing catalogs inside and between organizations. Identify the steps to import or upload data into catalogs. Explain the purpose of catalogs and How to Create a catalog organization. Describe the Purpose and Usage of Open Virtualization Format (OVA) and Custom vApp or VM Properties. Discuss vApp Templates Logs and Troubleshooting Review the architecture of the Distributed Firewall Discuss VMware Telco Cloud Service Assurance installations logs List Smarts installation logs Explain backup and restore options of VMware Telco Cloud Service Assurance Identify the approach for troubleshooting containerized services Discuss monitoring services

Duration 5 Days 30 CPD hours This course is intended for Experienced security administrators Overview By the end of the course, you should be able to meet the following objectives: Define information-security-related concepts Explain the different types of firewalls and their use cases Describe the operation of intrusion detection and intrusion prevention systems Differentiate between Malware Prevention approaches Describe the VMware intrinsic security portfolio Implement Zero-Trust Security using VMware NSX segmentation Configure user and role management Configure and troubleshoot Distributed Firewall, Identity Firewall, and time-based policies Configure and troubleshoot Gateway Security Use VMware vRealize Log Insight™ for NSX™ and VMware vRealize Network Insight™ to operate NSX firewalls Explain the security best practices related to grouping, tagging, and rule configuration Describe north-south and east-west service insertion Describe endpoint protection Configure and troubleshoot IDS/IPS Deploy NSX Application Platform Configure and troubleshoot NSX Malware Prevention Describe the capabilities of NSX Intelligence and NSX Network Detection and Response This five-day, hands-on training course provides you with the knowledge, skills, and tools to achieve competency in configuring, operating, and troubleshooting VMware NSX-T? Data Center for intrinsic security. In this course, you are introduced to all the security features in NSX-T Data Center, including Distributed Firewall and Gateway Firewall, Intrusion Detection and Prevention (IDS/IPS), NSX Application Platform, NSX Malware Prevention, VMware NSX© Intelligence?, and VMware NSX© Network Detection and Response?.In addition, you are presented with common configuration issues and given a methodology to resolve them. Course Introduction Introductions and course logistics Course objectives Security Basics Define information-security-related concepts Explain the different types of firewalls and their use cases Describe the operation of IDS/IPS Differentiate between Malware Prevention approaches VMware Intrinsic Security Define the VMware intrinsic security strategy Describe the VMware intrinsic security portfolio Explain how NSX-T Data Center aligns with the intrinsic security strategy Implementing Zero-Trust Security Define Zero-Trust Security Describe the five pillars of a Zero-Trust Architecture Define NSX segmentation and its use cases Describe the steps needed to enforce Zero-Trust with NSX segmentation User and Role Management Integrate NSX-T Data Center and VMware Identity Manager? Integrate NSX-T Data Center and LDAP Describe the native users and roles in NSX-T Data Center Create and assign custom user roles Distributed Firewall Configure Distributed Firewall rules and policies Describe the NSX Distributed Firewall architecture Troubleshoot common problems related to NSX Distributed Firewall Configure time-based policies Configure Identity Firewall rules Gateway Security Configure Gateway Firewall rules and policies Describe the architecture of the Gateway Firewall Identify and troubleshoot common Gateway Firewall issues Configure TLS Inspection to decrypt traffic for both internal and external services Configure URL filtering and identify common configuration issues Operating Internal Firewalls Use vRealize Log Insight for NSX and vRealize Network Insight to operate NSX firewalls Explain security best practices related to grouping, tagging, and rule configuration Network Introspection Explain network introspection Describe the architecture and workflows of north-south and east-west service insertion Troubleshoot north-south and east-west service insertion Endpoint Protection Explain endpoint protection Describe the architecture and workflows of endpoint protection Troubleshoot endpoint protection Intrusion Detection and Prevention Describe the MITRE ATT&CK framework Explain the different phases of a cyber attack Describe how NSX security solutions can be used to protect against cyber attacks Configure and troubleshoot Distributed IDS/IPS Configure and troubleshoot North-South IDS/IPS NSX Application Platform Describe NSX Application Platform and its use cases Identify the topologies supported for the deployment of NSX Application Platform Deploy NSX Application Platform Explain the NSX Application Platform architecture and services Validate the NSX Application Platform deployment and troubleshoot common issues NSX Malware Prevention Identify use cases for NSX Malware Prevention Identify the components in the NSX Malware Prevention architecture Describe the NSX Malware Prevention packet flows for known and unknown files Configure NSX Malware Prevention for east-west and north-south traffic NSX Intelligence and NSX Network Detection and Response Describe NSX Intelligence and its use cases Explain NSX Intelligence visualization, recommendation, and network traffic analysis capabilities Describe NSX Network Detection and Response and its use cases Explain the architecture of NSX Network Detection and Response in NSX-T Data Center Describe the visualization capabilities of NSX Network Detection and Response

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced attendees who wish to learn and use basic machine learning algorithms and concepts. Students should have skills at least equivalent to the Python for Data Science courses we offer. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to Understand the main concepts and principles of predictive analytics Use the Python data analytics ecosystem to implement end-to-end predictive analytics projects Explore advanced predictive modeling algorithms w with an emphasis on theory with intuitive explanations Learn to deploy a predictive model's results as an interactive application Learn about the stages involved in producing complete predictive analytics solutions Understand how to define a problem, propose a solution, and prepare a dataset Use visualizations to explore relationships and gain insights into the dataset Learn to build regression and classification models using scikit-learn Use Keras to build powerful neural network models that produce accurate predictions Learn to serve a model's predictions as a web application Predictive analytics is an applied field that employs a variety of quantitative methods using data to make predictions. It involves much more than just throwing data onto a computer to build a model. This course provides practical coverage to help you understand the most important concepts of predictive analytics. Using practical, step-by-step examples, we build predictive analytics solutions while using cutting-edge Python tools and packages. Hands-on Predictive Analytics with Python is a three-day, hands-on course that guides students through a step-by-step approach to defining problems and identifying relevant data. Students will learn how to perform data preparation, explore and visualize relationships, as well as build models, tune, evaluate, and deploy models. Each stage has relevant practical examples and efficient Python code. You will work with models such as KNN, Random Forests, and neural networks using the most important libraries in Python's data science stack: NumPy, Pandas, Matplotlib, Seabor, Keras, Dash, and so on. In addition to hands-on code examples, you will find intuitive explanations of the inner workings of the main techniques and algorithms used in predictive analytics. The Predictive Analytics Process Technical requirements What is predictive analytics? Reviewing important concepts of predictive analytics The predictive analytics process A quick tour of Python's data science stack Problem Understanding and Data Preparation Technical requirements Understanding the business problem and proposing a solution Practical project ? diamond prices Practical project ? credit card default Dataset Understanding ? Exploratory Data Analysis Technical requirements What is EDA? Univariate EDA Bivariate EDA Introduction to graphical multivariate EDA Predicting Numerical Values with Machine Learning Technical requirements Introduction to ML Practical considerations before modeling MLR Lasso regression KNN Training versus testing error Predicting Categories with Machine Learning Technical requirements Classification tasks Credit card default dataset Logistic regression Classification trees Random forests Training versus testing error Multiclass classification Naive Bayes classifiers Introducing Neural Nets for Predictive Analytics Technical requirements Introducing neural network models Introducing TensorFlow and Keras Regressing with neural networks Classification with neural networks The dark art of training neural networks Model Evaluation Technical requirements Evaluation of regression models Evaluation for classification models The k-fold cross-validation Model Tuning and Improving Performance Technical requirements Hyperparameter tuning Improving performance Implementing a Model with Dash Technical requirements Model communication and/or deployment phase Introducing Dash Implementing a predictive model as a web application Additional course details: Nexus Humans Hands-on Predicitive Analytics with Python (TTPS4879) 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 Hands-on Predicitive Analytics with Python (TTPS4879) 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 benefits individuals responsible for implementing, monitoring, and troubleshooting Juniper security components. Overview After successfully completing this course, you should be able to: Demonstrate understanding of concepts covered in the prerequisite Juniper Security courses. Describe the various forms of security supported by the Junos OS. Describe the Juniper Connected Security model. Describe Junos security handling at Layer 2 versus Layer 3. Implement next generation Layer 2 security features. Demonstrate understanding of Logical Systems (LSYS). Demonstrate understanding of Tenant Systems (TSYS). Implement virtual routing instances in a security setting. Describe and configure route sharing between routing instances using logical tunnel interfaces. Describe and discuss Juniper ATP and its function in the network. Describe and implement Juniper Connected Security with Policy Enforcer in a network. Describe firewall filters use on a security device. Implement firewall filters to route traffic. Explain how to troubleshoot zone problems. Describe the tools available to troubleshoot SRX Series devices. Describe and implement IPsec VPN in a hub-and-spoke model. Describe the PKI infrastructure. Implement certificates to build an ADVPN network. Describe using NAT, CoS and routing protocols over IPsec VPNs. Implement NAT and routing protocols over an IPsec VPN. Describe the logs and troubleshooting methodologies to fix IPsec VPNs. Implement working IPsec VPNs when given configuration that are broken. Describe Incident Reporting with Juniper ATP On-Prem device. Configure mitigation response to prevent spread of malware. Explain SecIntel uses and when to use them. Describe the systems that work with SecIntel. Describe and implement advanced NAT options on the SRX Series devices. Explain DNS doctoring and when to use it. Describe NAT troubleshooting logs and techniques. This four-day course, designed to build off the current Juniper Security (JSEC) offering, delves deeper into Junos security, next-generation security features, and ATP supporting software. Chapter 1: Course Introduction Course Introduction Chapter 2: Junos Layer 2 Packet Handling and Security Features Transparent Mode Security Secure Wire Layer 2 Next Generation Ethernet Switching MACsec Lab 1: Implementing Layer 2 Security Chapter 3: Firewall Filters Using Firewall Filters to Troubleshoot Routing Instances Filter-Based Forwarding Lab 2: Implementing Firewall Filters Chapter 4: Troubleshooting Zones and Policies General Troubleshooting for Junos Devices Troubleshooting Tools Troubleshooting Zones and Policies Zone and Policy Case Studies Lab 3: Troubleshooting Zones and Policies Chapter 5: Hub-and-Spoke VPN Overview Configuration and Monitoring Lab 4: Implementing Hub-and-Spoke VPNs Chapter 6: Advanced NAT Configuring Persistent NAT Demonstrate DNS doctoring Configure IPv6 NAT operations Troubleshooting NAT Lab 5: Implementing Advanced NAT Features Chapter 7: Logical and Tenant Systems Overview Administrative Roles Differences Between LSYS and TSYS Configuring LSYS Configuring TSYS Lab 6: Implementing TSYS Chapter 8: PKI and ADVPNs PKI Overview PKI Configuration ADVPN Overview ADVPN Configuration and Monitoring Lab 7: Implementing ADVPNs Chapter 9: Advanced IPsec NAT with IPsec Class of Service with IPsec Best Practices Routing OSPF over VPNs Lab 8: Implementing Advanced IPsec Solutions Chapter 10: Troubleshooting IPsec IPsec Troubleshooting Overview Troubleshooting IKE Phase 1 and 2 IPsec Logging IPsec Case Studies Lab 9: Troubleshooting IPsec Chapter 11: Juniper Connected Security Security Models Enforcement on Every Network Device Chapter 12: SecIntel Security Feed Encrypted Traffic Analysis Use Cases for SecIntel Lab 10: Implementing SecIntel Chapter 13:Advanced Juniper ATP On-Prem Collectors Private Mode Incident Response Deployment Models Lab 11: Implementing Advanced ATP On-Prem Chapter 14: Automated Threat Mitigation Identify and Mitigate Malware Threats Automate Security Mitigation Lab 12: Identifying and Mitigation of Threats Additional course details: Nexus Humans AJSEC - Advanced Junos Security 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 AJSEC - Advanced Junos Security 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.