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Duration 3 Days 18 CPD hours This course is intended for This course is designed for Service Provider networking professionals in job roles such as: Network administrators Network architects Network designers Network engineers Network managers Network Operations Center (NOC) personnel Network supervisors Overview After taking this course, you should be able to: Use NETCONF and RESTCONF programmability protocols on Cisco devices Describe and use tools to validate YANG data models on Cisco devices Describe and configure model-driven telemetry on Cisco devices Describe and configure network traffic automation with Cisco XTC Describe and use network automation tools that utilize SSH Automate service provider network configuration with Cisco NSO Describe how to automate virtualized resources with Cisco ESC Describe how to automate service provider WAN with Cisco WAE This course prepares you to implement and support automation solutions in a Service Provider network infrastructure, using network programmability principles, protocols, tools, and mechanisms. Through a combination of lessons and hands-on labs, you will learn to deploy, configure, monitor, and operate Service Provider network environments using modern data models. These models allow you to represent operational data and new network management protocols in order to administer hundreds or thousands of devices in a single operation, replacing traditional, time-consuming, error prone, device-by-device Command Line Interface (CLI) management. The course also introduces powerful automation solutions that can streamline network operations. This course also prepares you for the CCNP-Service Provider concentration exam 300-535. Implementing Network Device Programmability Interfaces with NETCONF and RESTCONF Implement NETCONF Protocol Implement RESTCONF Protocol Implementing Model-Driven Programmability with YANG YANG Data Models YANG Tools YANG Development Kit Implementing Model-Driven Telemetry Implementing Model-Driven Telemetry with gRPC Implementing Model-Driven Telemetry with gNMI Automating Service Provider Network Traffic with Cisco XTC Cisco XTC Fundamentals Configure Cisco XTC Automating Networks with Tools That Utilize SSH Implement Device Configurations with Python Netmiko Library Implement Device Configurations with Ansible Playbooks Orchestrating Network Services with Cisco NSO Cisco NSO Fundamentals Cisco NSO Device Manager Cisco NSO Services Implement Device Configurations with Python Automating Virtualized Resources with Cisco Elastic Services Controller Cisco ESC Architecture Cisco ESC Resource Management Automating the WAN with Cisco WAE Describe the Cisco WAE Components Additional course details: Nexus Humans Cisco Implementing Automation for Cisco Service Provider Solutions v1.0 (SPAUI) 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 Automation for Cisco Service Provider Solutions v1.0 (SPAUI) 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 This course is intended primarily for network administrators, network engineers, network managers and systems engineers who would like to implement MPLS and MPLS Traffic Engineering. This course is also intended for network designers and project managers. Overview After completing this course the student should be able to: Describe the features of MPLS Describe how MPLS labels are assigned and distributed Configure and troubleshoot frame-mode MPLS on Cisco IOS platforms Describe the MPLS peer-to-peer architecture and explain the routing and packet-forwarding model in this architecture Configure, monitor, and troubleshoot VPN operations Describe how the MPLS VPN model can be used to implement managed services and Internet access Describe the various Internet access implementations that are available and the benefits and drawbacks of each model Describe the tasks and commands that are necessary to implement MPLS TE This course is designed to help students prepare for MPLS exam. This update to the course reflects the most-recent developments in network design and technologies, using real-world scenarios to help reinforce the learning of key objectives. MPLS Concepts Introducing Basic MPLS Concepts Introducing MPLS Labels and Label Stack Identifying MPLS Applications Label Assignmenet and Distribution Discovering LDP Neighbors Introducing Typical Label Distribution in Frame-Mode MPLS Introducing Convergence in Frame-Mode MPLS Frame-Mode MPLS Implementation on Cisco IOS Platforms Introducing CEF Switching Configuring Frame-Mode MPLS on Cisco IOS Platforms Monitoring Frame-Mode MPLS on Cisco IOS Platforms Troubleshooting Frame-Mode MPLS on Cisco IOS Platforms MPLS Virtual Private Network Technology Introducing Virtual Private Networks Introducing MPLS VPN Architecture Introducing the MPLS VPN Routing Model Forwarding MPLS VPN Packets MPLS VPN Implementation MPLS VPN Implementation Configuring an MP-BGP Session Between PE Routers Configuring VRF Tables Configuring Small-Scale Routing Protocols Between PE and CE Routers Monitoring MPLS VPN Operations Configuring OSPF as the Routing Protocol Between PE and CE Routers Configuring BGP as the Routing Protocol Between PE and CE Routers Troubleshooting MPLS VPNs Complex MPLS VPNs Introducing Overlapping VPNs Introducing Central Services VPNs Introducing the Managed CE Routers Service Internet Access and MPLS VPNs Combining Internet Access with MPLS VPNs Implementing Internet Access in the MPLS VPN Environment MPLS Traffic Engineering Overview Introducing MPLS Traffic Engineering Components MPLS Traffic Engineering Operations Configuring MPLS Traffic Engineering on Cisco IOS Platforms Monitoring Basic MPLS TE on Cisco IOS Platforms

Why Choose 3ds Max Basic to Intermediate Training Course? Course info Looking to take your 3D modelling and animation skills to the next level then Our Intermediate 3DS Max course is designed to help you do just that! A bespoke course ideal for anyone who has a solid understanding of modelling in the 3D environment for films & games. Duration: 20 hrs Method: 1-on-1, Personalized attention. Schedule: Tailor your own schedule and hours of your choice, available from Mon to Sat between 9 am and 7 pm. Why Opt for Our 3ds Max Basic to Intermediate Course? Elevate your 3D modeling and animation skills with our tailored Intermediate 3DS Max course, perfect for those proficient in 3D modeling for films and games. 3ds Max Interface: Familiarize yourself with essential interface areas, tool names, and shortcuts. Master the Scene Explorer for comprehensive scene control. Learn initial software settings for an efficient workflow. Organize your project folder for streamlined work management. Enhance workflow through scene navigation shortcuts and visual styles setup. Understand scene unit configuration for precision. Foundations of 3D Modeling: Acquire industry-standard 3D modeling techniques. Implement compositing modeling with procedural geometry. Utilize non-destructive methods via Modifiers to enhance base geometries. Create 3D models using Splines and modifiers like Extrude, Sweep, and Lathe. Explore Boolean operations for complex shape creation. Delve into Mesh Modeling, enabling manual mesh editing for customized objects. Mesh Modeling: Navigate mesh modeling tools in 3ds Max. Model hard surface objects using mesh modeling and other techniques. Unleash creativity in modeling various objects. Material Creation and Application: Understand material basics and texture application. Create, apply, and resize materials on models. Utilize pictures as references for modeling. Apply multiple materials to one object. Incorporate transparency, reflection, and self-illuminating textures. Utilize images with transparency for intricate texture designs. Camera Control Techniques: Learn camera creation and viewpoint adjustment. Modify camera focal length and lock settings for stability. Adjust camera exposure for desired image brightness. Explore cameras with and without targets, understanding their differences. Lighting: Create realistic lighting using daylight systems. Fine-tune daylight settings based on geographical location. Optimize render settings for high-quality output. Utilize various light types for interior illumination. Master light distribution and apply color filters and textures. Implement HDRI environment images for realistic lighting effects. Animation Essentials: Gain a basic understanding of animation principles. Animate objects manually through keyframing. Create walkthrough animations using cameras and paths. Construct efficient camera rigs for path-based animations. Render animations as video output. Advanced Rendering Techniques: Explore rendering with V-Ray Simulate daylight systems and interior lighting in V-Ray Set up studio lighting configurations in both V-Ray advanced rendering. Course Requirements: A computer with 3ds Max and Vray installed (trial versions available on Autodesk and Chaos Group websites) Basic familiarity with 3D modeling concepts is beneficial but not mandatory Enthusiasm for learning 3ds Max and Vray to create impressive 3D models, visualizations, and animations

Duration 2 Days 12 CPD hours This course is intended for Data Modelers Participants will learn the full scope of the metadata modeling process, from initial project creation, to publishing a dynamic cube, and enabling end users to easily author reports and analyze data. Introduction to IBM Cognos Dynamic Cubes Define and differentiate Dynamic Cubes Dynamic Cubes characteristics Examine Dynamic Cube requirements Examine Dynamic Cube components Examine high level architecture IBM Cognos Dynamic Query Review Dimensional Data Structures Dynamic Cubes caching Create & Design a Dynamic Cube Explore the IBM Cognos Cube Designer Review the cube development process Examine the Automatic Cube Generation Manual development overview Create dimensions Model the cube Best practice for effective modeling Deploy & Configure a Dynamic Cube Deploy a cube Explore the Estimate Hardware Requirements Identify cube management tasks Examine Query Service administration Explore Dynamic Cube properties Schedule cube actions Use the DCAdmin comment line tool Advanced Dynamic Cube Modelling Examine advanced modeling concepts Explore modeling caveats Calculated measures and members Model Relative Time Explore the Current Period property Define period aggregation rules for measures Advanced Features of Cube Designer Examine multilingual support Examine ragged hierarchies and padding members Define Parent-Child Dimensions Refresh Metadata Import Framework Manager packages Filter measures and dimensions Optimize Performance with Aggregates Identify aggregates and aggregate tables In-memory aggregates Use Aggregate Advisor to identify aggregates User defined in-memory aggregates Optimize In-Memory Aggregates automatically Aggregate Advisor recommendations Monitor Dynamic Cube performance Model aggregates (automatically vs manually) Use Slicers to define aggregation partitions Define Security Overview of Dynamic Cube security Identify security filters The Security process - Three steps Examine security scope Identify scope rules Identify roles Capabilities and access permissions Cube security deep dive Model a Virtual Cube Explore virtual cubes Create the virtual cube Explore virtual cube objects Examine virtual measures and calculated members Currency conversion using virtual cubes Security on virtual cubes Introduction to IBM Cognos Analytics Define IBM Cognos Analytics Redefined Business Intelligence Self-service Navigate to content in IBM Cognos Analytics Interact with the user interface Model data with IBM Cognos Analytics IBM Cognos Analytics components Create reports Perform self-service with analysis and Dashboards IBM Cognos Analytics architecture (high level) IBM Cognos Analytics security Package / data source relationship Create Data modules Upload files Additional course details: Nexus Humans B6063 IBM Cognos Cube Designer - Design Dynamic Cubes (v11.0) 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 B6063 IBM Cognos Cube Designer - Design Dynamic Cubes (v11.0) 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 New users of BSM 9.0 -- 9.2,including:? IT Tools engineers? Database administrators? System administrators? Network administrators? Operations managers? Availability engineers Overview After completing this course, you should be able to:? Identify HP Business Service Management (BSM)deployment scenarios? Monitor application performance and availability fromthe end user perspective? Integrate HP SiteScope with the BSM environment? Monitor the real-time status of Key PerformanceIndicators (KPIs), view performance metrics, and workwith reports containing historical performance data? Configure and work with an IT model to build atopology of your system, populate the model withconfiguration items (CIs) and relationships, and use themodel to measure and manage critical businessprocesses? Create and analyze reports that present and organizespecific data your organization might need? Create and manage service level agreements (SLAs)representing your department contracts with serviceproviders, customers, and internal business units? Perform administrative tasks to enable user access,configure licenses, and enhance system performance? Work with the following applications: End UserManagement (EUM), Business Process Monitor (BPM),SiteScope/System Availability Manager (SAM), Run-Time Service Model (RTSM), BSM applications ? ServiceHealth (SH), MyBSM, Service Level Management (SLM). This entry-level, instructor-led classroom training offers technical personnel, who are new to HP Business Service Management (BSM) 9.0 ? 9.21, the opportunity to develop hands-on experience in applying the fundamental concepts, principles This entry-level, instructor-led classroom training offers technical personnel, who are new to HP Business Service Management (BSM) 9.0 ? 9.21, the opportunity to develop hands-on experience in applying the fundamental concepts, principles

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 5 Days 30 CPD hours This course is intended for DevelopersConsultants Overview Explore SAP Gateway architecture and deployment optionsPerform OData queries and operations with SAP GatewayDefine data model and implement CRUD operationsExtend SAP Gateway services and build new ones with CDS ViewsConfigure routing, multiple origin, and SAP Workflow supportImplement advanced OData operations and introduce OData V4Handle security and consume OData services using SAP Web IDE Students will explore SAP Gateway architecture and deployment options. SAP Gateway Overview SAP Gateway Architecture SAP Gateway Deployment Options OData Overview OData and REST OData Operations OData Queries Consuming OData using SAP Web IDE SAP Gateway Service Implementation Defining a Data Model Implementing Read Operations Implementing Navigation Implementing Query Options Implementing Change Operations SAP Gateway Service Generation RFC/BOR Generator Search Help Generator SAP Gateway Service Redefinition Redefining a Data Service Redefining a Gateway Service SAP Gateway and CDS Views SAP Fiori Programming Model CDS/SADL Generator Data Source Reference CDS View Annotations SAP Gateway Hub Functionalities Multiple Back-End Systems Support Configuring Routing Capabilities Multiple Origin Composition SAP Workflow Support Advanced OData Options Implementing Function Imports Implementing Expand Operations Implementing Deep Insert Operations Handling ETags Batch Requests Media Links Offline Support Server Side Caching SAP Gateway Security Authentication Data Security SAP Gateway OData V4 Support OData V4 Implementation OData V4 Publishing

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