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Duration 3 Days 18 CPD hours This course is intended for Field engineers Network engineers Network administrators System engineers Overview After taking this course, you should be able to: Describe Cisco SD-Access architecture and its components Explain Cisco DNA Center deployment models, scaling, and high availability Identify Cisco SD-Access fabric protocols and node roles Understand the Cisco SD-Access Wireless deployment models Automate Day 0 device onboarding with Cisco DNA Center LAN Automation and Network PnP Deploy simple Cisco SD-Access fabric networks Monitor health and performance of the network with Cisco DNA Center Assurance Interact with the Cisco DNA Center Platform Intent APIs The Understanding Cisco SDA Fundamentals (SDAFND) v1.0 course introduces you to Cisco© Software-Defined Access and teaches you, through a combination of lectures and labs, how to implement simple, single-site fabric networks.You will learn the benefits of leveraging Software-Defined Access in the Cisco-powered Enterprise Campus network. SDAFNDwill introduce the solution, its architecture and components, and guide you through labs to design and deploy simple Cisco SD-Access networks. Course Outline Introducing Cisco SD-Access Introducing Cisco DNA Center Exploring Cisco SD-Access Solution Components Exploring Cisco SD-Access Wireless Architecture Automating Network Changes with Cisco DNA Center Deploying Fabric Networks with Cisco DNA Center Exploring Cisco DNA Center Assurance Exploring Cisco DNA Center Programmability

Duration 3 Days 18 CPD hours This course is intended for This intermediate-level hands-on course is geared for experienced Administrators, Analysts, Architects, Data Scientists, Database Administrators and Implementers Overview This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Working in a hands-on learning environment led by our Oracle Certified expert facilitator, students will learn how to: Administer ODI resources and setup security with ODI Apply ODI Topology concepts for data integration Describe ODI Model concepts Describe architecture of Oracle Data Integrator Design ODI Mappings, Procedures, Packages, and Load Plans to perform ELT data transformations Explore, audit data, and enforce data quality with ODI Implement Changed Data Capture with ODI Oracle Data Integrator is a comprehensive data integration platform that covers all data integration requirements from high-volume, high-performance batch loads, to event-driven integration processes and SOA-enabled data services. Oracle Data Integrator's Extract, Load, Transform (E-LT) architecture leverages disparate RDBMS engines to process and transform the data - the approach that optimizes performance, scalability and lowers overall solution costs. Throughout this course participants will explore how to centralize data across databases, performing integration, designing ODI Mappings, and setting up ODI security. In addition, Oracle Data Integrator can interact with the various tools of the Hadoop ecosystem, allowing administrators and data scientists to farm out map-reduce operations from established relational databases to Hadoop. They can also read back into the relational world the results of complex Big Data analysis for further processing. Working in a hands-on learning environment led by our Oracle Certified expert facilitator, students will learn how to: Administer ODI resources and setup security with ODI Apply ODI Topology concepts for data integration Describe ODI Model concepts Describe architecture of Oracle Data Integrator Design ODI Mappings, Procedures, Packages, and Load Plans to perform ELT data transformations Explore, audit data, and enforce data quality with ODI Implement Changed Data Capture with ODI Introduction to Integration and Administration Oracle Data Integrator: Introduction Oracle Data Integrator Repositories Administering ODI Repositories Create and connect to the Master Repository Export and import the Master Repository Create, connect, and set a password to the Work Repository ODI Topology Concepts ODI Topology: Overview Data Servers and Physical Schemas Defining Topology Agents in Topology Planning a Topology Describing the Physical and Logical Architecture Topology Navigator Creating Physical Architecture Creating Logical Architecture Setting Up a New ODI Project ODI Projects Using Folders Understanding Knowledge Modules Exporting and Importing Objects Using Markers Oracle Data Integrator Model Concepts Understanding the Relational Model Understanding Reverse-Engineering Creating Models Organizing ODI Models and Creating ODI Datastores Organizing Models Creating Datastores Constraints in ODI Creating Keys and References Creating Conditions Exploring Your Data Constructing Business Rules ODI Mapping Concepts ODI Mappings Expressions, Join, Filter, Lookup, Sets, and Others Behind the Rules Staging Area and Execution Location Understanding Knowledge Modules Mappings: Overview Designing Mappings Multiple Sources and Joins Filtering Data Overview of the Flow in ODI Mapping Selecting a Staging Area Configuring Expressions Execution Location Selecting a Knowledge Module Mappings: Monitoring and Troubleshooting Monitoring Mappings Working with Errors Designing Mappings: Advanced Topics 1 Working with Business Rules Using Variables Datasets and Sets Using Sequences Designing Mappings: Advanced Topics 2 Partitioning Configuring Reusable Mappings Using User Functions Substitution Methods Modifying Knowledge Modules Using ODI Procedures Procedures: Overview Creating a Blank Procedure Adding Commands Adding Options Running a Procedure Using ODI Packages Packages: Overview Executing a Package Review of Package Steps Model, Submodel, and Datastore Steps Variable Steps Controlling the Execution Path Step-by-Step Debugger Starting a Debug Session New Functions Menu Bar Icons Managing ODI Scenarios Scenarios Managing Scenarios Preparing for Deployment Using Load Plans What are load plans? Load plan editor Load plan step sequence Defining restart behavior Enforcing Data Quality with ODI Data Quality Business Rules for Data Quality Enforcing Data Quality with ODI Working with Changed Data Capture CDC with ODI CDC implementations with ODI CDC implementation techniques Journalizing Results of CDC Advanced ODI Administration Setting Up ODI Security Managing ODI Reports ODI Integration with Java

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Duration 2 Days 12 CPD hours This course is intended for Networking and security professionals involved in the design, implementation, and administration of a network infrastructure using FortiGate appliances. Overview Analyze a FortiGate's route table. Route packets using policy-based and static routes for multi-path and load balanced deployments. Configure SD-WAN to load balance traffic between multiple WAN links effectively. Inspect traffic transparently, forwarding as a Layer 2 device. Divide FortiGate into two or more virtual devices, each operating as an independent FortiGate, by configuring virtual domains (VDOMs). Establish an IPsec VPN tunnel between two FortiGate appliances. Compare policy-based to route-based IPsec VPN. Implement a meshed or partially redundant VPN. Diagnose failed IKE exchanges. Offer Fortinet Single Sign On (FSSO) access to network services, integrated with Microsoft Active Directory. Deploy FortiGate devices as an HA cluster for fault tolerance and high performance. Deploy implicit and explicit proxy with firewall policies, authentication, and caching. Diagnose and correct common problems. In this two-day course, you will learn how to use advanced FortiGate networking and security. Course Outline Module 1. Routing Module 2. Software-Defined WAN (SD-WAN) Module 3. Layer 2 Switching Module 4. Virtual Domains Module 5. Site-to-Site IPsec VPN Module 6. Fortinet Single Sign-On (FSSO) Module 7. High Availability (HA) Module 8. Web Proxy Module 9. Diagnostics

Duration 3 Days 18 CPD hours This course is intended for Network designers Network managers System engineers Overview After taking this course, you should be able to: Review the Cisco Catalyst 9000 Series Switches identify the switches' features and examine the functionalities purpose-built for Cisco DNA and the SD-Access solution. Position the different Cisco Catalyst 9000 Series Switch model types in the network, and map older Cisco Catalyst switches to the 9000 family for migration. Identify the role and value of Cisco Silicon One in a campus environment. Examine management capabilities of the Cisco Catalyst 9000 Series Switches. Describe the scalability and performance features supported by the Cisco Catalyst 9000 Series Switches. Describe the Cisco Catalyst 9000 Series Switch support for security, Quality of Service (QoS), and Internet of Things (IoT) convergence features. Describe automation features, Application Programming Interface (API), Infrastructure as Code, and automation tools supported on Cisco Catalyst 9000 Series switches. Describe the new QoS, IoT, and BGP EVPN Features on Cisco Catalyst 9000 Series Switches. Describe the maintenance features on Cisco Catalyst 9000 Series switches. Explore the SD-Access solution fundamentals, deployment models for the Cisco Catalyst 9000 Series Switch, and the use of Cisco DNA Center to manage infrastructure devices. Automate Day 0 device onboarding with Cisco DNA Center LAN Automation and Network PnP. Describe how to manage and host applications on Cisco Catalyst 9000 Series switches using Cisco DNA Center. Explore a modern approach to cloud-managed networking for Cisco Catalyst 9000 Series switches and wireless access points that uses the Meraki Dashboard and analytics. Describe the Cisco Catalyst 9200 Series Switch architecture, model types, port types, uplink modules, components including power supplies, and other switch features and capabilities. Describe the Cisco Catalyst 9300 Series Switch architecture, model types, port types, uplink modules, and components, including power supplies and stacking cables. Describe the Cisco Catalyst 9400 Series Switches, different modular chassis, supervisor and line card options, architectural components, uplink, and power redundancy, and Multigigabit ports Describe the Cisco Catalyst 9500 Series Switches, model types, switch components, RFID support, architecture, and switch profiles. Describe the Cisco Catalyst 9600 Series Switch architecture, supervisor and line card options, and high availability features. The Implementing Cisco Catalyst 9000 Series Switches (ENC9K) v4.0 course provides you with insight into Cisco Catalyst 9000 Series Switches and its solution components. You will learn about the architecture, capabilities, positioning, and implementation of the Cisco Catalyst 9000 Series switches, as well as the management of the switches using CLI, Cisco DNA Center, and IOS-XE web user GUI. Additionally, you will be introduced to security, cloud, automation, and other important features of Cisco Catalyst 9000 Series switches. Course Outline Introducing the Cisco Catalyst 9000 Series Switches Positioning Cisco Catalyst 9000 Series Switches Cisco Catalyst Silicon One Architecture Exploring Cisco Catalyst 9000 Series Switches Management Capabilities Scale and Performance Features on Cisco Catalyst 9000 Series Switches Security Features on Cisco Catalyst 9000 Series Switches Automation Features on Cisco Catalyst 9000 Series Switches QoS, IoT, and BGP EVPN Features on Cisco Catalyst 9000 Series Switches Maintenance Features on Cisco Catalyst 9000 Series Switches Cisco SD-Access Solution on Cisco Catalyst 9000 Series Switches Application Hosting on Cisco Catalyst 9000 Series Switches Cloud Management for Catalyst 9000 Series Using Meraki Dashboard Automating Network Changes with Cisco DNA Center Introducing Cisco Catalyst 9200 Series Switches Introducing Cisco Catalyst 9300 Series Switches Introducing Cisco Catalyst 9400 Series Switches Introducing Cisco Catalyst 9500 Series Switches Introducing Cisco Catalyst 9600 Series Switches Additional course details: Nexus Humans Cisco Implementing Cisco Catalyst 9000 Switches v4.0 (ENC9K) 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 Catalyst 9000 Switches v4.0 (ENC9K) 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 is an intermediate level course for students that will perform Database Administration tasks, who plan, implement, and maintain D22 11.1 databases. Overview These skills can be developed by taking: DB2 SQL Workshop DB2 Fundamentals This course teaches database administrators to perform basic database administrative tasks using Db2 11.1. These tasks include creating database objects like tables, indexes and views, and loading data into the database with Db2 utilities like LOAD and INGEST. Various diagnostic methods will be presented, including using db2pd command options, and monitoring with SQL statements that reference Db2 monitor functions. Students will learn how to implement automatic archival for database logs and how to recover a database to a specific point in time using the archived logs. The course covers using EXPLAIN tools to review the access plans for SQL statements and adding indexes to improve SQL performance. We will cover the locking performed by Db2 and the effect the application isolation level has on locking and lock wait conditions. Students will learn how to implement database security, including adding a security administrator, SECADM user, and implement database roles to simplify security management. We will also describe implementing Db2 native encryption for a database. Overview of Db2 11.1Db2 Command Line Processor (CLP) and GUI toolsThe Db2 database manager instanceCreating Databases and Data PlacementCreating Database ObjectsMoving DataBackup and RecoveryDatabase Maintenance, Monitoring and Problem DeterminationLocking and concurrencySecurity

Understand the biases we all have and the impact they can have in the workplace. Look at how to minimise their impact on others and the organisation. Course overview Duration: 1 day (6.5 hours) The purpose of this course is to help individuals understand and recognise their own unconscious biases, and to provide strategies on how to minimise the impact of those biases in the workplace. The course will provide an overview of what unconscious bias is, its prevalence and impact, and ways to mitigate its effects. Objectives By the end of the course you will be able to: Define unconscious bias and recognise different types of bias Understand how unconscious bias affects decision-making and behaviours in the workplace Identify their own unconscious biases Understand the impact of unconscious bias on individual and team performance Apply strategies to mitigate the effects of unconscious bias in the workplace Content Module 1: Introduction to Unconscious Bias Definition of unconscious bias History and prevalence of unconscious bias Different types of unconscious bias (e.g. affinity bias, confirmation bias) Module 2: Understanding the Impact of Unconscious Bias How unconscious bias affects decision-making and behaviours in the workplace Examples of unconscious bias in the workplace Impact of unconscious bias on individual and team performance Module 3: Recognising Your Own Unconscious Biases Identifying personal biases Tools to recognise and minimise unconscious biases Module 4: Mitigating the Impact of Unconscious Bias in the Workplace Best practices for reducing unconscious bias in the workplace Strategies for managerial and executive leadership to combat unconscious bias Tips for creating a culture of inclusion and diversity

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.

SAP Courses Overview SAP is one of the largest ERP(Enterprise Resource Planning) software in the world. It provides end to end solution for Financials, Manufacturing, Logistics, Distributions etc. SAP applications, built around their latest R/3 system, provide the capability to manage financial, asset, and cost accounting, production operations and materials, personnel, plants, and archived documents. The R/3 system runs on a number of platforms including Windows and MAC and uses the client/server model. SAP Business Cases/ Live Project Our SAP training courses are designed in a way which gives the students maximum exposure of real-life scenario through no of business cases and guidance on implementation by professional SAP Consultants. Certificate of Attendance- You receive a certificate once you finish the course from Osborne Training,  SAP Certification During the training, you get access to the SAP sandbox which continues even after training finishes until the completion of the Internship. You can also do an external exam to receive certification from SAP (Optional), for details on exam booking you may visit the SAP website. SAP Training Modules Available Financial & Controlling (FICO) High-Performance Analytic Appliance (HANA) Supply Relationship Management (SRM) Customer Relationship Management (CRM) Free SAP Access Free SAP Sandbox Access provided for 6 months so that you can practice even after your SAP training course.