28182 Courses delivered Online

Duration 3 Days 18 CPD hours This course is intended for This class is ideal for integration specialists or Salesforce Administrators who want to learn more about connecting and securing data in Tableau CRM. This course is also great for business analysts or developers interested in creating advanced dashboards. Overview When you complete this course, you will be able to: Determine your user, data, and security requirements, and establish a development process. Set up apps and control what users can do in Tableau CRM by assigning them licenses, permission sets, and app permissions. Load external data to Tableau CRM. Create and run dataflows to load Salesforce data, and join it with data from other datasets. Understand and use Data Sync effectively. Understand Recipes and Data Prep. Understand and implement data security in Tableau CRM, and override security for implementation and testing. Understand how filters on dashboards function and be able to use interactions when necessary. Understand a dashboard's JSON file. Explain the process of dashboard queries and modify a query to meet specific analytic requirements. Modify dataset metadata. Take your Tableau CRM skills to the next level. In this 3-day, expert-led class, you?ll learn how to develop and implement a Tableau CRM environment that contains both Salesforce and non-Salesforce data. Our team of experts will walk you through Tableau CRM features and settings, user setup, how to load and transform data, data security, and how to modify queries to customize dashboards so you can work more efficiently, spot trends, and predict outcomes faster. Discovery and Planning Discovery Meeting Establishing Your Users and Development Process Set Up Users and Apps Overview of User Access on the Tableau CRM Platform Creating Tableau CRM Permission Sets Assigning Licenses and Permission Sets to Users Creating and Sharing Tableau CRM Apps Connect Data Overview of Connecting Data Data Mapping Overview of the Dataflow Process Designing a Dataflow Loading External CSV Data Creating Dataflows Optimizing Dataflows Running, Monitoring, and Scheduling a Dataflow Preparing Datasets with Recipes with Data Prep Data Connectors Additional Transformations Data Security Overview of Security in Tableau CRM Determining Security Requirements Overview of Using Predicate Filters Implementing Ownership-Based Row-Level Security Implementing Role-Based Row-Level Security Implementing Team-Based Row-Level Security Overriding Security for Implementation and Testing Sharing Inheritance Extended Metadata in a Dataset Overview of Extended Metadata (XMD) Updating Field Metadata Adding Quick Action Menus for Records in Tableau CRM Dashboard Templates and Mobile Dashboards Overview of Tableau CRM Dashboard Templates Overview of JSON for Dashboards Building a Dashboard Using a Template Optimizing Dashboards for a Mobile Device Bindings in Dashboards Understanding Filters in Lenses and Dashboards Multi-Dataset Dashboards Filters with Interactions Custom Queries Query Modification Overview of Modifying Queries Maximizing the Use of the Compare Table Salesforce Analytics Query Language (SAQL) SAQL Queries in a Tableau CRM Dashboard Additional course details: Nexus Humans Salesforce Implement and Manage Tableau CRM (ANC301) 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 Salesforce Implement and Manage Tableau CRM (ANC301) 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 is a basic-level programming course designed for attendees with prior development experience in another language, such as COBOL, 4GL, Mainframe or other non-object oriented languages. This course is not geared for non-developers. Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, designed to train attendees in core OO coding and Java development skills, coupling the most current, effective techniques with the soundest industry practices. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working within in a hands-on learning environment, guided by our expert team, attendees will learn to: Understand what OO programming is and what the advantages of OO are in today's world Work with objects, classes, and OO implementations Understand the basic concepts of OO such as encapsulation, inheritance, polymorphism, and abstraction Understand not only the fundamentals of the Java language, but also its importance, uses, strengths and weaknesses Understand the basics of the Java language and how it relates to OO programming and the Object Model Work with the Modular system (Project Jigsaw) Understand and use classes, inheritance and polymorphism Understand and use collections, generics, autoboxing, and enumerations Process large amount of data using Lambda expressions and the Stream API Abstract, static and private methods in interfaces Take advantage of the Java tooling that is available with the programming environment being used in the class Java 11 features covered: Using the Local Variable Type in Lambda expressions; Updates made to the String API This course provides hands-on Java 11 training for developers who have little or no prior working knowledge of object-oriented programming languages such as C, COBOL, and 4GL. You will learn the best practices for writing great object-oriented programs in Java 11, using sound development techniques, new improved features for better performance, and new capabilities for addressing rapid application development. Special emphasis is placed on object oriented concepts and best practices. A First Look The Java Platform Using the JDK The Eclipse Paradigm Getting Started with Java Writing a Simple Class Adding Methods to the Class OO Concepts Object-Oriented Programming Inheritance, Abstraction, and Polymorphism Essential Java Programming Language Statements Using Strings Specializing in a Subclass Fields and Variables Using Arrays Local-Variable Type Inference Java Packages and Visibility Object Oriented Development Inheritance and Polymorphism Interfaces and Abstract Classes Introduction to Exception Handling Exceptions Java Developer's Toolboxÿ Utility Classes Java Date/Time Advanced Java Programming Introduction to Generics Lambda Expressions and Functional Interface Working with Collections Collections Using Collections Stream APIÿ Streams Collectors The Java Module System Introduction to the Module System Time Permitting Formatting Strings Introduction to Annotations Java 12 and beyond Additional course details: Nexus Humans Basic Java 11 and OO Programming for Developers New to OO (TT2120-J11) 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 Basic Java 11 and OO Programming for Developers New to OO (TT2120-J11) 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 geared for Python experienced developers, analysts or others who are intending to learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web. Overview This skills-focused combines engaging lecture, demos, group activities and discussions with machine-based student labs and exercises.. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern 'on-the-job' modern applied datascience, AI and machine learning experience into every classroom and hands-on project. Working in a hands-on lab environment led by our expert instructor, attendees will Understand the different kinds of recommender systems Master data-wrangling techniques using the pandas library Building an IMDB Top 250 Clone Build a content-based engine to recommend movies based on real movie metadata Employ data-mining techniques used in building recommenders Build industry-standard collaborative filters using powerful algorithms Building Hybrid Recommenders that incorporate content based and collaborative filtering Recommendation systems are at the heart of almost every internet business today; from Facebook to Net?ix to Amazon. Providing good recommendations, whether its friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform.This course shows you how to do just that. You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of machine learning theory?you will get started with building and learning about recommenders as quickly as possible. In this course, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata. You will also use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques. Students will learn to build industry-standard recommender systems, leveraging basic Python syntax skills. This is an applied course, so machine learning theory is only used to highlight how to build recommenders in this course. Getting Started with Recommender Systems Technical requirements What is a recommender system? Types of recommender systems Manipulating Data with the Pandas Library Technical requirements Setting up the environment The Pandas library The Pandas DataFrame The Pandas Series Building an IMDB Top 250 Clone with Pandas Technical requirements The simple recommender The knowledge-based recommender Building Content-Based Recommenders Technical requirements Exporting the clean DataFrame Document vectors The cosine similarity score Plot description-based recommender Metadata-based recommender Suggestions for improvements Getting Started with Data Mining Techniques Problem statement Similarity measures Clustering Dimensionality reduction Supervised learning Evaluation metrics Building Collaborative Filters Technical requirements The framework User-based collaborative filtering Item-based collaborative filtering Model-based approaches Hybrid Recommenders Technical requirements Introduction Case study and final project ? Building a hybrid model Additional course details: Nexus Humans Building Recommendation Systems with Python (TTAI2360) 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 Building Recommendation Systems with Python (TTAI2360) 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 Cloud Solutions Architects, DevOps Engineers. Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with a focus on Google Compute Engine. Overview Configure VPC networks and virtual machines Administer Identity and Access Management for resources Implement data storage services in GCP Manage and examine billing of GCP resources Monitor resources using Stackdriver services Connect your infrastructure to GCP Configure load balancers and autoscaling for VM instances Automate the deployment of GCP infrastructure services Leverage managed services in GCP This class introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform, with a focus on Compute Engine. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems, and application services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring. Introduction to Google Cloud Platform List the different ways of interacting with GCP Use the GCP Console and Cloud Shell Create Cloud Storage buckets Use the GCP Marketplace to deploy solutions Virtual Networks List the VPC objects in GCP Differentiate between the different types of VPC networks Implement VPC networks and firewall rules Design a maintenance server Virtual Machines Recall the CPU and memory options for virtual machines Describe the disk options for virtual machines Explain VM pricing and discounts Use Compute Engine to create and customize VM instances Cloud IAM Describe the Cloud IAM resource hierarchy Explain the different types of IAM roles Recall the different types of IAM members Implement access control for resources using Cloud IAM Storage and Database Services Differentiate between Cloud Storage, Cloud SQL, Cloud Spanner, Cloud Firestore and Cloud Bigtable Choose a data storage service based on your requirements Implement data storage services Resource Management Describe the cloud resource manager hierarchy Recognize how quotas protect GCP customers Use labels to organize resources Explain the behavior of budget alerts in GCP Examine billing data with BigQuery Resource Monitoring Describe the Stackdriver services for monitoring, logging, error reporting, tracing, and debugging Create charts, alerts, and uptime checks for resources with Stackdriver Monitoring Use Stackdriver Debugger to identify and fix errors Interconnecting Networks Recall the GCP interconnect and peering services available to connect your infrastructure to GCP Determine which GCP interconnect or peering service to use in specific circumstances Create and configure VPN gateways Recall when to use Shared VPC and when to use VPC Network Peering Load Balancing and Autoscaling Recall the various load balancing services Determine which GCP load balancer to use in specific circumstances Describe autoscaling behavior Configure load balancers and autoscaling Infrastructure Automation Automate the deployment of GCP services using Deployment Manager or Terraform Outline the GCP Marketplace Managed Services Describe the managed services for data processing in GCP Additional course details: Nexus Humans Architecting with Google Compute Engine 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 Architecting with Google Compute Engine 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 System administrators System engineer Overview By the end of the course, you should be able to meet the following objectives: Configure and manage complex storage solutions in a vSphere environment (including NFS, iSCSI, and so on) Configure and manage complex, scalable vSphere networking operations (vSphere Standard Switch and Distributed Switches) Deploy, manage, and optimize virtual machines (advanced configuration, content library, latency-sensitive workloads, and more) Manage business continuity and operations in your vSphere environment (VMware vCenter Server Appliance™ file-based backup, VMware vCenter Server profiles, host profiles, and so on) Plan and implement increased vSphere security (use a Key Provider, VM Encryption, CPU scheduler remediations, and so on) Troubleshoot the vSphere environment Use VMware vSphere Lifecycle Manager™ to upgrade to VMware ESXi™ hosts and virtual machines (VUM, image-based clusters, and so on) Implement vSphere cluster solutions (Cluster QuickStart wizard, VMware vSphere Distributed Resource Scheduler™, VMware vSphere High Availability, VMware vSAN™, and so on) Implement resource optimizations to streamline vSphere deployments Create an advanced configuration of vCenter Server (including an identity source) This five-day course provides hands-on training to equip students with a range of skills, from performing routine VMware vSphere© 7 administrative tasks to complex vSphere operations and configurations. Through lab-based activities, students are immersed in real-life situations faced by VMBeans, a fictitious company. These situations expose students to real-life scenarios faced by companies that are building and scaling their virtual infrastructure. Approximately 90% of the class is application-focused and taught through labs. The course aligns fully with the VMware Certified Advanced Professional ? Data Center Virtualization Deploy exam objectives. Course Introduction Introductions and course logistics Course objectives Introduction to fictitious company: VMBeans Configure and Manage Your vSphere Environment Perform various vCenter Server configurations Configure an external identity source Configure virtual networking with advanced options Configure and manage advanced storage configurations Configure vSphere clusters (also using Cluster QuickStart) Management and Operations in Your Data Center Collect vSphere log files Configure vCenter Server file-based backup Working with vCenter Server profiles Configure and manage advanced cluster settings Create and configure advanced host options Create and manage host profiles Manage and remediate clusters using vSphere Lifecycle Manager Create and configure a Content Library Update a managed virtual machine template Configure a central VMware ToolsTM installation repository Manage vSphere roles and permissions Troubleshoot Your Data Center Environment Troubleshoot vSphere configuration issues Troubleshoot resource pool configuration issues Troubleshoot network and storage issues Troubleshoot ESXi host issues Troubleshoot vCenter Server resource issues Increasing Security in Your Data Center Create and manage a Key Management solution Create an encrypted virtual machine Configure CPU scheduler options to achieve security remediations Performance and Optimization in Your Data Center Manage advanced virtual machine configurations Identify and implement vSphere resource optimization opportunities Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware vSphere: Advanced Administration Workshop [v7] 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 VMware vSphere: Advanced Administration Workshop [v7] 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 System installersSystem integratorsSystem administratorsNetwork administratorsSolutions designers Overview After completing this course, you should be able to:Explain transactional service activation and how it relates to business requirementsExplain the benefits and uses of Cisco NSOExplain how Cisco NSO communicates with network devicesUnderstand the NETCONF protocol and be able to read and write simple YANG modelsInstall NSO and describe how NSO uses NETCONF and the Device Manager componentUnderstand the difference between devices that are fully NETCONF capable and those that are less or not NETCONF capableExplain the YANG service model structureDescribe how YANG is used with NSO, create and deploy a service, and explain NSO FASTMAPDesign and manage services with YANG modelsPerform NSO configuration and basic troubleshooting, and describe the following NSO features: integration options, alarms and reporting, scalability and performance options, and available function packsUse logs to troubleshoot the Cisco NSO deployment and check NSO communication with network devicesExplain the mapping logic of service parameters to device models and consequently to device configurationsDescribe the use of different integration options and APIsExplain the use of Reactive FASTMAP for manipulating and implementing advanced Network Functions Virtualization (NFV) componentsDescribe the use of feature components and function packsDefine and explain the European Telecommunications Standards Institute (ETSI) Open Source NFV Management and Orchestration (MANO) principles and solutionWork with the alarm console, and understand the NSO alarm structure and how it conforms to modern network operations procedures The Cisco NSO Essentials for Programmers and Network Architects (NSO201) course introduces you to Cisco© Network Services Orchestrator (NSO). You will learn to install Cisco NSO and use it to manage devices and create services based on YANG templates with XPath. This course provides a brief overview of NSO as a network automation solution, as well as an introduction to NETCONF, YANG, and XPath. You will learn about service packages, network element drivers, and Application Programming Interfaces (APIs). The course also covers service creation, device and configuration management, NSO maintenance, NSO options and integrations, and basic NSO troubleshooting. Introduction to Cisco NSO Meeting Challenges with Orchestration Challenges of Network Management Challenges of Network Orchestration NSO Features and Benefits That Meet Challenges Standardized Approach What Is NSO? Logical Architecture Components What Does NSO Do? Orchestration Use Cases How Does NSO Work? Introduction to NETCONF and YANG Packages Mapping Logic Network Element Drivers (NEDs) Resources and Training Resources Training Get Started with Cisco NSO Installing Cisco NSO Setup Overview Cisco NSO Local Installation Installing NEDs Using NetSim NETCONF Overview Challenges of Network Management Introduction to NETCONF NETCONF Operation Device Manager Device Manager Overview Device Configuration Management Device Connection Management Templates and Groups Other Device Management Tools Service Manager Essentials YANG Overview Introduction to YANG Other Representations of YANG Data Types XPath Overview Basic YANG Statements Can You Spot the Error? Using Services Package Architecture Creating a Service Package Sample Service Configuration Service Template YANG Service Model Deploying a Service Model-to-Model Mapping Mapping Introduction Mapping Logic FASTMAP Template Processing Service Design and Cisco NSO Programmability Service Design Service Design Overview Top-Down Approach Bottom-Up Approach Device Configuration Service Model Service Management Service Management Tasks Service Lifecycle Management Guidelines NSO Programmability Introduction NSO Programmability Overview Python Service Skeleton Creating a Service YANG Model Creating a Service Template Template Processing with Python Cisco NSO Flexibility System Configuration and Troubleshooting System Configuration System Troubleshooting Integration Integration Options NETCONF Server Web Integration SNMP Agent Alarm Management and Reporting Alarm Management Reporting Scalability and Performance High Availability High-Availability Cluster Communications Clustering Layered Service Architecture Addressing Performance Limitations Components and Function Packs Function Packs NFV Orchestration Reactive FASTMAP

Duration 3 Days 18 CPD hours This course is intended for The primary audience for this course is as follows: Cisco Partners and customers interested in the Catalyst 9800 wireless controller Overview Upon completing this course, the learner will be able to meet these overall objectives: Describe Cisco Catalyst 9800 Understand the Benefits for Catalyst 9800 Configure Catalyst 9800 Migrate to the Catalyst 9800 Troubleshoot the Catalyst 9800 Understand and Discuss WIFI6 Configuring Cisco Catalyst 9800 and Intro to WIFI6 v1.0 is a three-day course designed to help students understand how the Catalyst 9800 Series wireless controllers combine the best of RF excellence with IOS XE benefits. This course begins with a description of the Cisco Catalyst 9800 and its benefits while introducing the learner to WIFI6. The configuration, migration, and troubleshooting will also be covered in this instructor-led course. Introduction Cisco Catalyst 9800 Overview Intent Based Networking (IBN) Cisco Catalyst Next Gen Wireless Architecture Cisco Catalyst 9800 Wireless ? Platform Support Cisco Catalyst 9800 Wireless Controller Appliances Cisco Catalyst 9800 Wireless Controller Series: C9800-80-K9 Cisco Catalyst 9800 Wireless Controller Series: C9800-40-K9 Cisco Catalyst 9800 Wireless Controller Cloud Series: C9800-CL-K9 Cisco Catalyst 9800 use in Private and Public Cloud Environments Private Public Hybrid What is WiFi 6 and Why do we need it? Use Cases ? how WiFi 6 will change Buisness and Industry WIFI6 technical ? a leap from previous WiFi technologies Design Considerations Cisco WiFi6 Portfolio and Interoperability Configure WiFi6 on Cat 9800 Cisco Catalyst 9800 Series Embedded Controller for SDA SD-Access Everywhere Wireless Assurance with DNA Center Catalyst 9800 SD-Access Wireless Catalyst 9800 SD-Access Embedded Wireless Controllers High Availability Reducing downtime for Upgrades and Unplanned Events High Availability (Client SSO) High Availability (AP & Client SSO) Software Updates Software Updates SSO Patching Rolling Upgrades Wireless Controller SMU Rolling AP Update Image Upgrade Programmability and Telemetry Flexible management options with Cisco Catalyst 9800 Wireless Controllers Wireless Programmability ?Stack? Config vs Operational YANG data models Model Driven Telemetry Security and Threat Detection Intent-based wireless networks Security Security and Threat Mitigation Catalyst 9800 Wireless Controller Configuration Model New Configuration Model AireOS vs. Catalyst 9800 Config Model Catalyst 9800 Config Model Wireless Basic Setup Wireless Basic Configuration Model Adding Local Site Adding Remote Site Provisioning APs to Site Day 0 AP PnP Wireless Advanced Guided UI Configuration Workflow WLAN Profile Policy Profile AP Join profile RF Profile Static and Rule-Based AP Tagging Migration AireOS Config Translator Using the Tool Migration using Prime AireOS Config Translator on PI 3.5 Troubleshooting IOS-XE logging architecture Packet tracing and packet captures Embedded Packet Capture web interface Useful commands and tools Additional course details: Nexus Humans Cisco Configuring Cisco Catalyst 9800 and Intro to WIFI6 (C98WF6) 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 Configuring Cisco Catalyst 9800 and Intro to WIFI6 (C98WF6) 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 geared for Python experienced developers, analysts or others who are intending to learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web. Overview Working in a hands-on lab environment led by our expert instructor, attendees will Understand the different kinds of recommender systems Master data-wrangling techniques using the pandas library Building an IMDB Top 250 Clone Build a content-based engine to recommend movies based on real movie metadata Employ data-mining techniques used in building recommenders Build industry-standard collaborative filters using powerful algorithms Building Hybrid Recommenders that incorporate content based and collaborative filtering Recommendation systems are at the heart of almost every internet business today; from Facebook to Net?ix to Amazon. Providing good recommendations, whether its friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform.This course shows you how to do just that. You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of machine learning theory?you will get started with building and learning about recommenders as quickly as possible. In this course, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata. You will also use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques.Students will learn to build industry-standard recommender systems, leveraging basic Python syntax skills. This is an applied course, so machine learning theory is only used to highlight how to build recommenders in this course.This skills-focused ccombines engaging lecture, demos, group activities and discussions with machine-based student labs and exercises.. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern 'on-the-job' modern applied datascience, AI and machine learning experience into every classroom and hands-on project. Getting Started with Recommender Systems Technical requirements What is a recommender system? Types of recommender systems Manipulating Data with the Pandas Library Technical requirements Setting up the environment The Pandas library The Pandas DataFrame The Pandas Series Building an IMDB Top 250 Clone with Pandas Technical requirements The simple recommender The knowledge-based recommender Building Content-Based Recommenders Technical requirements Exporting the clean DataFrame Document vectors The cosine similarity score Plot description-based recommender Metadata-based recommender Suggestions for improvements Getting Started with Data Mining Techniques Problem statement Similarity measures Clustering Dimensionality reduction Supervised learning Evaluation metrics Building Collaborative Filters Technical requirements The framework User-based collaborative filtering Item-based collaborative filtering Model-based approaches Hybrid Recommenders Technical requirements Introduction Case study and final project ? Building a hybrid model Additional course details: Nexus Humans Applied AI: Building Recommendation Systems with Python (TTAI2360) 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 Applied AI: Building Recommendation Systems with Python (TTAI2360) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 2 Days 12 CPD hours This course is intended for This course is designed for professionals in a variety of job roles who are currently using desktop or web-based data management tools such as Microsoft Excel or SQL Server reporting services to perform numerical or general data analysis. They are responsible for connecting to cloud-based data sources, as well as shaping and combining data for the purpose of analysis. They are also looking for alternative ways to analyze business data, visualize insights, and share those insights with peers across the enterprise. This includes capturing and reporting on data to peers, executives, and clients. Overview In this course, you will analyze data with Microsoft Power BI. You will: Analyze data with self-service BI. Connect to data sources. Perform data cleaning, profiling, and shaping. Visualize data with Power BI. Enhance data analysis by adding and customizing visual elements. Model data with calculations. Create interactive visualizations. As technology progresses and becomes more interwoven with our businesses and lives, more data is collected about business and personal activities. This era of 'big data' is a direct result of the popularity and growth of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and competitive advantages. Creating data-backed visualizations is key for data scientists, or any professional, to explore, analyze, and report insights and trends from data. Microsoft© Power BI© software is designed for this purpose. Power BI was built to connect to a wide range of data sources, and it enables users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Power BI's data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, enabling users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action. Analyzing Data with Self-Service BI Topic A: Data Analysis and Visualization for Business Intelligence Topic B: Self-Service BI with Microsoft Power BI Connecting to Data Sources Topic A: Create Data Connections Topic B: Configure and Manage Data Relationships Topic C: Save Files in Power BI Performing Data Cleaning, Profiling, and Shaping Topic A: Clean, Transform, and Load Data with the Query Editor Topic B: Profile Data with the Query Editor Topic C: Shape Data with the Query Editor Topic D: Combine and Manage Data Rows Visualizing Data with Power BI Topic A: Create Visualizations in Power BI Topic B: Chart Data in Power BI Enhancing Data Analysis Topic A: Customize Visuals and Pages Topic B: Incorporate Tooltips Modeling Data with Calculations Topic A: Create Calculations with Data Analysis Expressions (DAX) Topic B: Create Calculated Measures and Conditional Columns Creating Interactive Visualizations Topic A: Create and Manage Data Hierarchies Topic B: Filter and Slice Reports Topic C: Create Dashboards Additional course details: Nexus Humans Microsoft Power BI: Data Analysis Practitioner (Second Edition) (v1.3) 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 Microsoft Power BI: Data Analysis Practitioner (Second Edition) (v1.3) 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 The iPhone combines technologies of smartphones and personal computing. With a multitouch screen, built-in accelerometer and virtual keyboard, the iPhone also requires the mobile application developer to adopt a vastly different software design philosophy. With over a billion mobile apps sold, iPhone Programming is a critical part of the future of mobile technology. This five day course teaches the attendee all aspects of iOS mobile app development Introduction and Setup Joining the Apple iOS Developer Program Installing Xcode and the iOS SDK A Guided Tour of Xcode An Introduction to Xcode Playgrounds Swift Programming Language Swift Data Types, Constants, and Variables Swift Operators and Expressions Swift Flow Control The Swift Switch Statement Overview of Swift Functions The Basics of Object Oriented Programming in Swift Swift Subclassing and Extensions Arrays and Dictionary Collections in Swift Understanding Error Handling in Swift Views, Layouts, and Storyboards Creating an Interactive iOS App Auto Layout in iOS Working with iOS Auto Layout Constraints in Interface Builder Implementing iOS Auto Layout Constraints in Code Implementing Cross-Hierarchy Auto Layout Constraints in iOS Understanding the iOS Auto Layout Visual Format Language Using Size Classes to Design Adaptable Universal iOS User Interfaces Using Storyboards in Xcode Organizing Scenes over Multiple Xcode Storyboard Files Using Xcode Storyboards to Create an iOS Tab Bar Application Working with the iOS Stack View Class iOS Stack View Tutorial iOS Split View Master-Detail Example Multitasking in iOS Implementing a Page based iOS Application using UIPageViewController iOS UIPageViewController Application Data Storage with Files, iCloud, and Databases Working with Directories in Swift on iOS Working with Files in Swift on iOS iOS Directory Handling and File I/O in Swift Preparing an iOS App to use iCloud Storage Managing Files using the iOS UIDocument Class Using iCloud Storage in an iOS Application Synchronizing iOS Key-Value Data using iCloud iOS Database Implementation using SQLite SQLite based iOS Application using Swift and FMDB Working with iOS Databases using Core Data iOS Core Data Introduction to CloudKit Data Storage on iOS iOS CloudKit Example iOS CloudKit Subscription Example Touch, Taps, and Gestures An Overview of iOS Multitouch, Taps and Gestures iOS Touch, Multitouch and Tap Application Detecting iOS Touch Screen Gesture Motions Identifying Gestures using iOS Gesture Recognizers iOS Gesture Recognition iOS 3D Touch Force Handling iOS 3D Touch Quick Actions iOS 3D Touch Peek and Pop Advanced View Options Basic iOS Animation using Core Animation iOS UIKit Dynamics ? An Overview Introduction to iOS Sprite Kit Programming iOS Sprite Kit Level Editor Game iOS Sprite Kit Collision Handling Extensions Introduction to Extensions in iOS iOS Today Extension Widget Creating an iOS Photo Editing Extension Creating an iOS Action Extension Receiving Data from an iOS Action Extension Multimedia, Facebook, and Twitter Accessing the iOS Camera and Photo Library iOS Camera Application iOS Video Playback using AVPlayer and AVPlayerViewController iOS Multitasking Picture in Picture Tutorial Playing Audio on iOS using AVAudioPlayer Recording Audio on iOS with AVAudioRecorder The App Store Preparing and Submitting an iOS Application to the App Store Additional course details: Nexus Humans iPhone Mobile App Development 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 iPhone Mobile App Development 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.