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Duration 2 Days 12 CPD hours This course is intended for System installers System integrators System administrators Network administrators Overview After taking this course, you should be able to: Describe the Cisco SD-Branch solution and its architecture Explain the hardware components of the Cisco ENCS 5400 and Cisco Catalyst 8200 Series Edge Universal Customer Premises Equipment (uCPE) Install and access the Cisco Enterprise NFVIS on Cisco ENCS 5400 Understand the VNF Lifecycle management and its deployment Identify Cisco Enterprise NFVIS Security considerations Explain the Cisco SD-WAN solution and its components Describe the Cisco ENCS orchestrations systems and Representational State Transfer (REST) APIs Deploy the Cisco ENCS using orchestrators Monitor and troubleshoot Cisco ENFV components using Cisco vManage The Implementing Cisco Enterprise SD-Branch (ENSDBI) v1.0 course is designed to teach you to understand the Cisco© Software-Defined (SD)-Branch architecture and Cisco Enterprise Network Functions Virtualization (ENFV) solution. Through a series of in-person or e-learning lectures and labs, you will learn about the supported hardware platforms with a focus on the components, installation, and upgraded workflows of the Cisco Enterprise Network Compute System (ENCS) 5400 series. Additionally, this course will help you build your skills on Virtual Network Functions (VNF) deployment and orchestration solutions on Cisco ENCS. Course Outline Introducing Cisco SD-Branch Architecture and Cisco ENFV Solution Preparing Cisco ENCS Device for Deployment Deploying VNFs on Cisco ENCS Working with Cisco ENCS Orchestration Monitoring and Managing Cisco ENFV Components Additional course details: Nexus Humans Cisco Implementing Cisco Enterprise SD-Branch v1.0 (ENSDBI) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Cisco Implementing Cisco Enterprise SD-Branch v1.0 (ENSDBI) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 1 Days 6 CPD hours This course is intended for The primary audience for this course is as follows: Cloud solution architects Cloud administrators Customer sales engineers DevOps engineers Sales engineers Systems engineers Technical solutions architects Overview After you complete this course the learner will be able to meet these overall objectives: Describe what clouds are supported and how to configure clouds for Cost Optimizer Examine the Cost Optimizer snapshots of costs incurred by the various clouds installed for an organization CLDCO, Mulitcloud Cost Optimization with Cisco CloudCenter Suite is a 1-day course that teaches you how the reporting and analysis of consumption the cost optimizer provides, functions within a Cisco© CloudCenter Suite. The cost optimizer works together with two other primary mechanisms: a workload manager that helps users deploy applications and manage governance policies, and an action orchestrator that provides seamless integration and workflow automation. Through lessons and hands-on experiences, you will learn the functionality of the CloudCenter cost optimizer.This course will help you:Acquire the advanced skills and techniques using the CloudCenter Suite for a consistent experience across all environments, whether you plan to deploy in the cloud or on-premisesLearn how to use the tools of cost management and workload optimization by leveraging the functionality of the entire CloudCenter suite Implementing Cisco CloudCenter Suite Cost Optimizer Cisco CloudCenter Suite Cost Optimizer Examining Cost Optimizer Inventory, Reports, Rightsizing, and Troubleshooting Configure Cost and Inventory Reports in the User Interface Additional course details: Nexus Humans Cisco Multicloud Cost Optimization with Cisco CloudCenter Suite (CLDCO) 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 Multicloud Cost Optimization with Cisco CloudCenter Suite (CLDCO) 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 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 4 Days 24 CPD hours This course is intended for This course is designed for data analysts, business intelligence specialists, developers, system architects, and database administrators. Overview Skills gained in this training include:The features that Pig, Hive, and Impala offer for data acquisition, storage, and analysisThe fundamentals of Apache Hadoop and data ETL (extract, transform, load), ingestion, and processing with HadoopHow Pig, Hive, and Impala improve productivity for typical analysis tasksJoining diverse datasets to gain valuable business insightPerforming real-time, complex queries on datasets Cloudera University?s four-day data analyst training course focusing on Apache Pig and Hive and Cloudera Impala will teach you to apply traditional data analytics and business intelligence skills to big data. Hadoop Fundamentals The Motivation for Hadoop Hadoop Overview Data Storage: HDFS Distributed Data Processing: YARN, MapReduce, and Spark Data Processing and Analysis: Pig, Hive, and Impala Data Integration: Sqoop Other Hadoop Data Tools Exercise Scenarios Explanation Introduction to Pig What Is Pig? Pig?s Features Pig Use Cases Interacting with Pig Basic Data Analysis with Pig Pig Latin Syntax Loading Data Simple Data Types Field Definitions Data Output Viewing the Schema Filtering and Sorting Data Commonly-Used Functions Processing Complex Data with Pig Storage Formats Complex/Nested Data Types Grouping Built-In Functions for Complex Data Iterating Grouped Data Multi-Dataset Operations with Pig Techniques for Combining Data Sets Joining Data Sets in Pig Set Operations Splitting Data Sets Pig Troubleshoot & Optimization Troubleshooting Pig Logging Using Hadoop?s Web UI Data Sampling and Debugging Performance Overview Understanding the Execution Plan Tips for Improving the Performance of Your Pig Jobs Introduction to Hive & Impala What Is Hive? What Is Impala? Schema and Data Storage Comparing Hive to Traditional Databases Hive Use Cases Querying with Hive & Impala Databases and Tables Basic Hive and Impala Query Language Syntax Data Types Differences Between Hive and Impala Query Syntax Using Hue to Execute Queries Using the Impala Shell Data Management Data Storage Creating Databases and Tables Loading Data Altering Databases and Tables Simplifying Queries with Views Storing Query Results Data Storage & Performance Partitioning Tables Choosing a File Format Managing Metadata Controlling Access to Data Relational Data Analysis with Hive & Impala Joining Datasets Common Built-In Functions Aggregation and Windowing Working with Impala How Impala Executes Queries Extending Impala with User-Defined Functions Improving Impala Performance Analyzing Text and Complex Data with Hive Complex Values in Hive Using Regular Expressions in Hive Sentiment Analysis and N-Grams Conclusion Hive Optimization Understanding Query Performance Controlling Job Execution Plan Bucketing Indexing Data Extending Hive SerDes Data Transformation with Custom Scripts User-Defined Functions Parameterized Queries Choosing the Best Tool for the Job Comparing MapReduce, Pig, Hive, Impala, and Relational Databases Which to Choose?

Duration 4 Days 24 CPD hours This course is intended for This basic course is intended for anyone who requires basic AIX/UNIX user skills to be able to work in an AIX environment. This course is also a prerequisite for many courses in the AIX Systems Administration curriculum. Overview Log in to an AIX system and set a user password Use AIX online documentation Manage AIX files and directories Describe the purpose of the shell Use the vi editor Execute common AIX commands and manage AIX processes Customize the working environment Use common AIX utilities Write simple shell scripts Use the AIXWindows Environment Use the Common Desktop Environment This course enables you to perform everyday tasks using the AIX operating system. Day 1 Introduction to AIX Using the System AIX Documentation Files and Directories Using Files Day 2 File Permissions The vi Editor Shell Basics Using Shell Variables Day 3 Processes Controlling Processes Customizing the User Environment AIX Utilities, Part I AIX Utilities, Part I (Continued) AIX Utilities, Part II Day 4 AIX Utilities, Part II (Continued) Additional Shell Features The AIX Graphical User Interface

Duration 2 Days 12 CPD hours This course is intended for This course is most valuable for individuals who have been given responsibilities to create or maintain a website. It will also be valuable for new web designers, web developers, and graphic artists who want to extend their skills in creating complete websites. Learning how to use Dreamweaver CC will enable the practitioner to create web pages and sites in the most efficient manner. This course can also be used to help prepare students to take the Adobe Certified Associate (ACA) exam. Overview Upon successful completion of this course, you will be able to develop interactive and engaging websites that are compatible with multiple display devices. You will: ?Identify website requirements.?Create layouts.?Format web pages.?Create forms.?Integrate media files with Dreamweaver.?Manage website files. In this course, you will use Adobe Dreamweaver CC to create fluid CSS layouts, implement mobile integration techniques, and share files over a server to work in a collaborative manner. Identifying Website Requirements Examine Website Design Considerations Examine Website Performance Parameters Creating Layouts Create a Fluid Layout Manage a Layout by Using CSS Formatting Web Pages Format Content in Code View Apply Advanced CSS Tools Add Behaviors Manage Links and Files Creating Forms Add a Form Container and Elements Validate a Form Integrating Media Files with Dreamweaver Integrate Photoshop Files in Dreamweaver Insert Video, Audio, and Mobile Files Implement PhoneGap Integration Managing Website Files Preview and Test a Website Share Website Files with Other Users Synchronize Website Files Additional course details: Nexus Humans Adobe Dreamweaver CC - Part 2 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 Adobe Dreamweaver CC - Part 2 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.

The aim of this programme is to provide current / prospective senior project managers with an in-depth review of the role and importance of project management in the organisation. It focuses on the strategic role of the project manager and aims to draw out the full scope of the role and how it impacts on project performance. The five key objectives of this programme are to enable the participants to: Identify the characteristics and attributes needed by project managers in ensuring the organisation is recognised as an industry leader in delivering successful projects Understand the full scope and impact of the project manager / leader's role in managing projects or programmes to maximise benefit to the business Define the hallmarks and skills required to manage significant business projects or project portfolios Develop an understanding of the skills required and their impact on the project through case study work and syndicate exercises Benefit from an effective forum for exchanging experience and fostering a sense of team spirit and mutual support between senior project managers DAY ONE 1 Introduction (Course sponsor) A vision of future opportunities and challenges The impact of project managers / leaders on future success 2 The determinants of success The contractor's perspective The client's perspective Success and failure: factors that determine the project outcome The impact of the project manager 3 Case study: Project Giotto How successful was this project? What were the primary factors that influenced the outcome? How relevant are these factors to current projects? Feedback and review 4 Project team exercise A practical exercise demonstrating the role of the project manager in managing the interfaces between the client, the project team and suppliers Review - what skills are required to be a 'world class' project manager? 5 The role of the Project Manager The role and skills of the 'world class' project manager The three key dimensions of effective project leadershipManaging influential stakeholdersManaging project performanceManaging the project team Project leadership skills appraisal (individual review) DAY TWO 6 Managing influential stakeholders Project management and the art of leadership Who are the influential stakeholders and how do they affect the project? What we need to do / not do, to build successful working relationships 7 Case study: Understanding the customer What are the likely problems the project manager will encounter? What should the project manager do to ensure an effective partnership? 8 Managing project performance Issues affecting commercial performance Joining up the project life-cycle: getting performance from inception to closure The roles of project manager, line manager and project sponsor 9 Project team exercise: Making the promise / delivering the promise An exercise demonstrating the commercial and team leadership skills needed by the project manager Review - what must the project manager do to optimise project performance? 10 Managing multi-functional project teams The challenges of building effective, multi-functional project teams Co-ordinating work across functional and organisational boundaries Maintaining strategic focus and balancing priorities 11 Making it happen Individual action planning Syndicate discussion 12 Course review and transfer planning (Course sponsor present) What will we do differently? How will we make it happen? Conclusion

Duration 5 Days 30 CPD hours This course is intended for This course is intended for Cisco Unified Communications system channel partners and resellers who are responsible for deployment and application engineering for Cisco Unified Contact Center Express customers, System and technical support engineers, Day 1 and Day 2 support personnel, and Customers deploying and maintaining Cisco Unified CCX Overview Upon successful completion of this course, students will be able to create utilize advanced techniques in scripting and Cisco Unified CCX functionality The student will explore advanced techniques in scripting and Cisco Unified CCX functionality. During this five day class students will use advanced scripting to implement features that extend the functionality of Cisco Unified CCX. Cisco Unified CCX Overview Components of the Cisco Unified CCX Environment. Gateways. Routers. Cisco Unified Communications Manager. Cisco Unified CCX. Script Editor. Cisco Finesse. Cisco Unified Intelligence Center. Cisco Unified CCX Agent. External Servers. Cisco Unified CCX System Cluster Components. Engine. Database Server. Call Flow Terms. The Call Flow. The Debug Process Reactive. Non-Reactive Prompt Recording Utilities Prompt Recorder Emergency Message Recorder Basic ACD Routing Review Script Steps used in a Simple ACD Routing Script. Resource Group Routing. Defining the Contact Service Queue. Create a Simple ACD routing script Common Scripting Concepts Prompt Management. Using the Default Script. Terminating a Call and Ending a Script. Abandon Rates. Exception Handling. Script Interruptions. Check Agent Availability before and after entering queue. Using Java Methods for Holiday and Time of Day routing Accessing an External Database Database architecture and supported databases. Setting up the Database Subsystem. Using Database script steps Skills Based Routing Appling skills to agents. Defining the Contact Service Queue. Specifying the CSQ in the Script Advanced ACD Routing Overflow Routing. When to Overflow. How to get the Data Needed for Making Decisions. Describe Methods of Overflowing Basic ACD Callback Options Setup the Email Subsystem. Script for Email Notification. Script for Leaving a Recorded Message. Script for Callback when Queue Times have Decreased Enterprise Data and Session Management Define Enterprise Data in Cisco Finesse. Define a Call Variable Layout in Cisco Finesse. Define ECC Variables in the script editor. Set Enterprise Data in the script. Define Session Management. Setup Session Management. Use Session Management to Pass Variable Information Between Scripts Advanced ACD Callback Options Leave Queued Message with an Option for Callback. Scheduled Callback

Duration 5 Days 30 CPD hours In this course, you?ll learn how to program Lightning Web Components with markup, JavaScript, CSS, Apex, and the Salesforce Lightning Design System (SLDS). Additional course details: Nexus Humans Salesforce Programming Lightning Web Components (DEX602) 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 Programming Lightning Web Components (DEX602) 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.