29000 Tea courses

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 2 Days 12 CPD hours Overview #NAME? A course that teaches the core Adobe Captivate skills needed to create eLearning courses. 1 - EXPLORING CAPTIVATE Explore a Finished Captivate Project Zoom and Magnify Navigate a Project Explore and Reset the Workspace Preview the Entire Project 2 - NEW PROJECTS & SOFT SKILLS ELEARNING Create a Blank Project Add Images to Placeholders Import Images Use a Smart Shape as a Button Disable Click Sounds 3 - SCREEN RECORDINGS Rehearse a Script Review Recording Settings Review Recording Modes Record Using Multiple Modes Record a Custom Simulation Record a Demonstration that Pans Manually Record the Screen 4 - VIDEO DEMOS Record a Video Demo Add a Video Zoom Add a Video Pan Smooth a Mouse Path and Show Visual Clicks Split a Video Trim a Video Insert a Video Project into a Standard Project Publish a Video Demo 5 - CAPTIONS, STYLES, TIMING, AND ROUND TRIPPING Insert and Edit Text Captions Edit the Default Caption Style Change a Callout Type Used by a Text Caption Control Slide Timing Control Slide Object Timing Check Spelling Align Slide Objects Export Captions to Word Import Captions from Word into Captivate 6 - POINTERS, PATHS, PATHS, BOXES, AND BUTTONS Control Mouse Effects Edit a Mouse Path Clone an Object Style Insert a Highlight Box Insert an Image Button Control Appear After Timing 7 - IMAGES AND VIDEOS Insert, Resize, and Restore an Image Import Images into the Library Resize, Transform, and Align Images Manage Unused Library Assets Create an Image Slideshow Insert a Video Set Video Properties 8 - AUDIO Work with Rollover Captions Import Audio onto a Slide Object Import Background Audio Add a Slide Note Calibrate a Microphone Record Slide Audio Import Audio onto a Slide Edit an Audio File Insert Silence Convert Text-to-Speech 9 - STATES, ANIMATIONS, AND OBJECT EFFECTS Change State Views for a Button Add an Animation to a slide Insert a Text Animation Apply an Effect to a Slide Object Apply a Free Fall Effect to an Object 10 - SOFTWARE SIMULATIONS Hide the Mouse Replace Phrases Insert a Click Box Insert a Text Entry Box 11 - WORKING WITH POWERPOINT Create a Project from a Presentation Edit the Source Presentation Synchronize with Source Rescale a Project 12 - QUIZZING Edit Quizzing Object Styles Set the Quiz Preferences Question Slides Insert Question Slides Edit a Question Slide Compare Submit All to Submit Buttons Insert a Knowledge Check Review a GIFT File Import a GIFT File into a Project Create Question Pools Move Questions to Pools Insert Random Question Slides 13 - PUBLISHING Apply a Skin Edit, Save, and Delete a Skin Name Slides Check Publish Settings and Add a Loading Screen Publish as SWF and PDF Run the HTML5 Tracker Publish as HTML5

Duration 5 Days 30 CPD hours This course is intended for Application Consultant Business Analyst Business Process Owner / Team Lead / Power User Help Desk / COE Support Program / Project Manager Overview This course will prepare you to: Describe the motivation for SAP S/4HANA Enterprise Management Provide an overview of basic business processes in the main components of Financial Accounting with SAP S/4HANA Participants of this course will gain an overview of the Financial Accounting capabilities of SAP S/4HANA. You will learn how SAP S/4HANA covers the Financial Accounting related business requirements and how the fundamental business processes and tasks are executed in the system. General Ledger Accounting, Accounts Payable, Accounts Receivable, Asset Accounting and Bank Accounting and their integration are all discussed in this course. Especially if you are new to Financial Accounting in SAP S/4HANA, this course is the right starting point for you. If you plan to take the academy and certification for Financial Accounting, this course will help you to better understand the certification courses. For the actual certification, it is recommended, but not mandatory. Overview of SAP S/4HANA Providing an Overview of the SAP S/4HANA Using the SAP Fiori Front-En Overview of Financial Accounting (FI) in SAP S/4HANA Outlining Financial Accounting (FI) Components in SAP S/4HANA General Ledger (G/L) Accounting Outlining Organizational Elements in Financial Accounting (FI) Maintaining G/L Master Records Posting Transactions in the G/L Accounts Payable Maintaining Vendor Master Records Maintaining Accounts Payable Transactions Managing the Integration between Accounts Payable and Materials Management Performing Accounts Payable Closing Operations Accounts Receivable Maintaining Customer Master Records Managing Accounts Receivable Transactions Managing Customer Correspondence Creating Accounts Receivable Dispute Cases Managing the Integration between Accounts Receivable and Sales Order Management Performing Accounts Receivable Closing Operations Asset Accounting Maintaining Asset Master Records Executing Asset Transactions Executing Asset Accounting Period-End Closing Activitie Bank Accounting Maintaining Bank Accounting Master Records Managing Bank Accounting Transactions Closing Operations in General Ledger Accounting Performing General Ledger (G/L) Closing Operations Additional course details: Nexus Humans S4F20 SAP Business Processes in Management Accounting 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 S4F20 SAP Business Processes in Management Accounting 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 This class is intended for the following: Data analysts, Data scientists, Business analysts getting started with Google Cloud Platform. Individuals responsible for designing pipelines and architectures for data processing, creating and maintaining machine learning and statistical models, querying datasets, visualizing query results and creating reports. Executives and IT decision makers evaluating Google Cloud Platform for use by data scientists. Overview This course teaches students the following skills:Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform.Use Cloud SQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform.Employ BigQuery and Cloud Datalab to carry out interactive data analysis.Train and use a neural network using TensorFlow.Employ ML APIs.Choose between different data processing products on the Google Cloud Platform. This course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities. Introducing Google Cloud Platform Google Platform Fundamentals Overview. Google Cloud Platform Big Data Products. Compute and Storage Fundamentals CPUs on demand (Compute Engine). A global filesystem (Cloud Storage). CloudShell. Lab: Set up a Ingest-Transform-Publish data processing pipeline. Data Analytics on the Cloud Stepping-stones to the cloud. Cloud SQL: your SQL database on the cloud. Lab: Importing data into CloudSQL and running queries. Spark on Dataproc. Lab: Machine Learning Recommendations with Spark on Dataproc. Scaling Data Analysis Fast random access. Datalab. BigQuery. Lab: Build machine learning dataset. Machine Learning Machine Learning with TensorFlow. Lab: Carry out ML with TensorFlow Pre-built models for common needs. Lab: Employ ML APIs. Data Processing Architectures Message-oriented architectures with Pub/Sub. Creating pipelines with Dataflow. Reference architecture for real-time and batch data processing. Summary Why GCP? Where to go from here Additional Resources Additional course details: Nexus Humans Google Cloud Platform Big Data and Machine Learning Fundamentals 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 Google Cloud Platform Big Data and Machine Learning Fundamentals 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 appropriate for anyone needing to interface with an Oracle database or those needing a general understanding of Oracle database functionality. That would include end users, business analysts, application developers and database administrators. Overview Working in a hands-on learning environment led by our expert pracitioner you'll learn how to: Add Data, Retrieve, Sort and Organize a SQL Database Combine Data, Set Operators and Subqueries Manipulate Data and Data Definition Languages in SQL Work with Data Dictionary Views and Create Sequences, Indexes and Views Use Database Objects and Subqueries Perform Data and access control Perform other Advanced Level Database operations. Oracle 19C SQL Programming Fundamentals Is a three-day, hands-on course designed to equip you with the fundamental skills needed to set up, run and manage SQL databases using Oracle Database Technology. You will also be discovering all the tools and concepts required to organize data efficiently. 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 develop a practical approach to Oracle Database Technology. Throughout the course, you will learn the key elements of a database, and the way Oracle systems facilitate their induction in the system. You?ll also learn the tools and strategies you can implement to store, retrieve, compare and organize data according to your requirements. You?ll also explore the process of creating simple to complex reports from existing data. By the end of this course, you will also have hands-on knowledge of SQL systems that are required to proceed to other advanced to professional programs. Adding Data, Retrieving, Sorting and Organizing a SQL Database The building blocks of a database. How to add data to the database. The process of retrieving data using SQL functions. Multiple methods of sorting and organizing data. Using SQL functions to get the required simple to complex output. Various strategies for using functions and conditions to organize data. Combining Data, Set Operators And Subqueries Consolidating data using multiple functions and group operators. Fetching intelligent data reports using simple functions. Fetching data from multiple sources in the tables. Using Subqueries to compile data as required. Using Set operators to create smart data reports. Data Manipulation and Data Definition Languages in SQL Describing and managing data transaction using Data Definition Language. Categorize and review data tables using Data Definition Language. Data Dictionary Views and Creating Sequences, Indexes and Views How to manage and query Data Dictionary Views. The process of creating and using Sequences. How to create various types of Synonyms and Indexes. Creating simple and complex views and retrieving data. Understanding and using Database Objects and Subqueries Core concept and application of Schema Objects. Fetching required data with Subqueries. Using Subqueries to organize Data in SQL. Data and access control Assigning and revoking data access. Managing data access control according to user levels. Performing Advanced Level Database operations. Using advanced functions and performing data queries. Creating and managing time zone-based databases.

Duration 2 Days 12 CPD hours This course is intended for #NAME? Overview The learning objectives for CDA include a practical understanding of: Goals, history, terminology, and pipeline The importance, practices, and transformation of a DevOps collaborative culture Design practices, such as modular design and microservices Continuous Integration (Cl), such as version control, builds, and remediation Tenets and best practices of Continuous Testing (CT) Continuous Delivery and Deployment (CD): packaging, containers, and release Continuous Monitoring (CM): monitoring and analysis infrastructure, process, and apps Infrastructure and tools: frameworks, tools, and infrastructure as code Security Assurance: DevSecOps The opportunity to hear and share real-life scenarios This course is designed for participants who are engaged in the design, implementation, and management of DevOps deployment pipelines and toolchains that support Continuous Integration, Continuous Delivery, Continuous Testing and potentially Continuous Deployment. The course highlights underpinning processes, metrics, APls and cultural considerations with Continuous Delivery. Key benefits of Continuous Delivery will be covered including increased velocity to assist organizations to respond to market changes rapidly, thus being able to outmaneuver competition, reduce risk and lower costs while releasing higher quality solutions. Increased productivity and employee morale by having more activities performed by pipelines instead of humans so teams can focus on vision while pipelines do the execution.This course prepares you for the Continuous Delivery Ecosystem Foundation(CDEF) certification. Course Introduction Course goals Course agenda CDA Concepts Continuous delivery (CD) definition Architecting for continuous delivery Continuous delivery and DevOps Relationships between CD, Waterfall, Agile, ITIL, and DevOps Benefits of continuous delivery CDA Culture Importance of culture to the CD Architect What a CD Architect can do about culture How to maintain culture Assignment: DevOps culture and practices to create flow Design Practices for Continuous Delivery Why design is important to continuous delivery CD Architect?s role in design Key design principles CD best practices Microservices and containers Continuous Integration Continuous integration (CI) defined CD Architect?s role in CI Importance of CI Benefits of CI CI best practices Assignment: Optimizing CI workflows Continuous Testing Continuous testing (CT) defined Importance of CT Benefits of CT CD Architect?s role in CT Five tenets of CT CT best practices Assignment: Handling environment inconsistencies Continuous Delivery and Deployment Continuous delivery defined Continuous deployment defined Benefits of continuous delivery and deployment CD Architect?s role in continuous delivery and deployment Continuous delivery and deployment best practices Assignment: Distinguishing continuous delivery and deployment Continuous Monitoring Continuous monitoring defined Importance of continuous monitoring CD Architect?s role in continuous monitoring Continuous monitoring best practices Assignment: Monitoring build progress Infrastructure and Tools Importance of infrastructure and tools CD Architect?s role in infrastructure and tools Building a DevOps toolchain Infrastructure/tools best practices Assignment: identifying common infrastructure/tool components Security Assurance Importance of security assurance DevSecOps and Rugged DevOps defined CD Architect?s role in security Security best practices Assignment: Applying security practices Capstone exercise Identifying toolchain and workflow improvements Summary Additional Sources of Information Exam Preparations Exam requirements Sample exam review

Duration 2 Days 12 CPD hours This course is intended for Report Authors Overview Create query models Create reports based on query relationships Introduction to dimensional data Introduction to dimensional data in reports Dimensional report context Focus your dimensional data Calculations and dimensional functions Create advanced dynamic reports This offering teaches Professional Report Authors about advanced report building techniques using relational data models, dimensional data, and ways of enhancing, customizing, managing, and distributing professional reports. The course builds on topics presented in the Fundamentals course. Activities will illustrate and reinforce key concepts during this learning activity. Create query models Build a query and connect it to a report Answer a business question by referencing data in a separate query Create reports based on query relationships Create join relationships between queries Combine data containers based on relationships from different queries Create a report comparing the percentage of change Introduction to dimensional reporting concepts Examine data sources and model types Describe the dimensional approach to queries Apply report authoring styles Introduction to dimensional data in reports Use members to create reports Identify sets and tuples in reports Use query calculations and set definitions Dimensional report context Examine dimensional report members Examine dimensional report measures Use the default measure to create a summarized column in a report Focus your dimensional data Focus your report by excluding members of a defined set Compare the use of the filter() function to a detail filter Filter dimensional data using slicers Calculations and dimensional functions Examine dimensional functions Show totals and exclude members Create a percent of base calculation Create advanced dynamic reports Use query macros Control report output using a query macro Create a dynamic growth report Create a report that displays summary data before detailed data and uses singletons to summarize information Design effective prompts Create a prompt that allows users to select conditional formatting values Create a prompt that provides users a choice between different filters Create a prompt to let users choose a column sort order Create a prompt to let users select a display type Examine the report specification Examine report specification flow Identify considerations when modifying report specifications Customize reporting objects Distribute reports Burst a report to email recipients by using a data item Burst a list report to the IBM Cognos Analytics portal by using a burst table Burst a crosstab report to the IBM Cognos Analytics portal by using a burst table and a master detail relationship Enhance user interaction with HTML Create interactive reports using HTML Include additional information with tooltips Send emails using links in a report Introduction to IBM Cognos Active Reports Examine Active Report controls and variables Create a simple Active Report using Static and Data-driven controls Change filtering and selection behavior in a report Create interaction between multiple controls and variables Active Report charts and decks Create an Active Report with a Data deck Use Master detail relationships with Decks Optimize Active Reports Create an Active Report with new visualizations

Duration 3 Days 18 CPD hours This course is intended for This course is intended for: Database architects Database administrators Database developers Data analysts and scientists Overview This course is designed to teach you how to: Discuss the core concepts of data warehousing, and the intersection between data warehousing and big data solutions Launch an Amazon Redshift cluster and use the components, features, and functionality to implement a data warehouse in the cloud Use other AWS data and analytic services, such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon S3, to contribute to the data warehousing solution Architect the data warehouse Identify performance issues, optimize queries, and tune the database for better performance Use Amazon Redshift Spectrum to analyze data directly from an Amazon S3 bucket Use Amazon QuickSight to perform data analysis and visualization tasks against the data warehouse Data Warehousing on AWS introduces you to concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS. This course demonstrates how to collect, store, and prepare data for the data warehouse by using other AWS services such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon S3. Additionally, this course demonstrates how to use Amazon QuickSight to perform analysis on your data Module 1: Introduction to Data Warehousing Relational databases Data warehousing concepts The intersection of data warehousing and big data Overview of data management in AWS Hands-on lab 1: Introduction to Amazon Redshift Module 2: Introduction to Amazon Redshift Conceptual overview Real-world use cases Hands-on lab 2: Launching an Amazon Redshift cluster Module 3: Launching clusters Building the cluster Connecting to the cluster Controlling access Database security Load data Hands-on lab 3: Optimizing database schemas Module 4: Designing the database schema Schemas and data types Columnar compression Data distribution styles Data sorting methods Module 5: Identifying data sources Data sources overview Amazon S3 Amazon DynamoDB Amazon EMR Amazon Kinesis Data Firehose AWS Lambda Database Loader for Amazon Redshift Hands-on lab 4: Loading real-time data into an Amazon Redshift database Module 6: Loading data Preparing Data Loading data using COPY Data Warehousing on AWS AWS Classroom Training Concurrent write operations Troubleshooting load issues Hands-on lab 5: Loading data with the COPY command Module 7: Writing queries and tuning for performance Amazon Redshift SQL User-Defined Functions (UDFs) Factors that affect query performance The EXPLAIN command and query plans Workload Management (WLM) Hands-on lab 6: Configuring workload management Module 8: Amazon Redshift Spectrum Amazon Redshift Spectrum Configuring data for Amazon Redshift Spectrum Amazon Redshift Spectrum Queries Hands-on lab 7: Using Amazon Redshift Spectrum Module 9: Maintaining clusters Audit logging Performance monitoring Events and notifications Lab 8: Auditing and monitoring clusters Resizing clusters Backing up and restoring clusters Resource tagging and limits and constraints Hands-on lab 9: Backing up, restoring and resizing clusters Module 10: Analyzing and visualizing data Power of visualizations Building dashboards Amazon QuickSight editions and feature

Duration 1 Days 6 CPD hours This course is intended for This course is intended for individuals who want to recognize and manage their emotions, behaviors and impulses and apply these skills to the world around them. Overview Upon successful completion of the Developing Emotional Intelligence course, participants will have the tools to gain control over emotions, navigate challenging situations, and communicate empathetically. In this course, students will develop the skill of emotional intelligence to help maximize personal and professional success. Module One: Getting Started Getting Started Module Two: Introduction to Emotional Intelligence Defining Emotional Intelligence The Importance of EI Who Needs It? What Are Emotions? EQ vs. IQ Practical Illustration Module Three: The Components of EI Self-Management Self-Awareness Social Skills Internal Motivation Empathy Practical Illustration Module Four: Tools to Gain Control Journaling Meditation and Mindfulness Identifying Emotional Triggers Breathing Techniques Taking a Break Practical Illustration Module Five: Verbal Communication Skills Active Listening Asking Questions Consider Your Audience Choosing Your Words Be Authentic Practical Illustration Module Six: Nonverbal Communication Skills Body Language Tone Matters Facial Expressions Eye Contact Distance and Personal Space Practical Illustration Module Seven: Managing Relationships With Others Building Rapport Respond, Don?t React Show Gratitude Finding Common Ground Setting Boundaries Practical Illustration Module Eight: Overcoming Obstacles Recognizing and Admitting Failure Disagreeing Constructively Staying Cool Under Pressure Be Open to Perspectives The Power of Forgiveness Practical Illustration Module Nine: Application to Business Practices Working as a Team Setting Business Goals Interviewing for Successful Hires Giving and Receiving Feedback Customer Experience and Rapport Practical Illustration Module Ten: Benefits of Being Emotionally Aware Strong Interpersonal Relationships Able to Manage Change Reduced Stress and Anxiety Improved Decision Making Boosts Employee Morale Practical Illustration Module Eleven: Making an Impact Creating a Powerful First Impression Maintaining Your Composure Inspiring Leadership Gaining Self-Confidence Patience and Practice Practical Illustration Module Twelve: Wrapping Up Words from the Wise Additional course details: Nexus Humans Developing Emotional Intelligence 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 Developing Emotional Intelligence 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 intended for: System engineers Technical support personnel Channel partners and resellers Overview After taking this course, you should be able to: Describe Cisco DWDM platform basics Describe DWDM network topologies Describe the management software used for managing Cisco DWDM networks List the different hardware components of the Cisco ONS and Cisco NCS DWDM systems Provision nodes and circuits in a Cisco DWDM network Perform node and multishelf configurations Implement SMR-based rings Provision optical circuit protection mechanisms Configure Any Rate cards Describe the function of Raman amplifiers Perform basic maintenance and troubleshooting of a Cisco DWDM network The Cisco Optical Technology Intermediate (OPT200) v3.0 course is designed to teach you the skills necessary to deploy the Cisco© Optical Networking System (ONS), 15454 Multiservice Transport Platform (MSTP), and Cisco Network Convergence System (NCS) 2000 Series Dense Wavelength-Division Multiplexing (DWDM) networks from installation to protection. Through a combination of lecture and hands-on experience, you will learn installation, configuration, circuit protection, maintenance, and basic troubleshooting using the Cisco Transport Controller for the Cisco ONS 15454 M6 and M12 shelves, and for the Cisco NCS 2016 shelf.Additionally, in this course you will review DWDM terminology and components, explore available chassis and cards, and discuss hardware installation. You will learn to use the Cisco Transport Controller server software to connect to the nodes, perform network turn-up and circuit creation, and deploy linear and single-module ROADM (SMR) DWDM multishelf topologies. Using this software, you will also configure Raman amplifiers and Any Rate cards, and configure protected and unprotected circuits. The course covers a variety of card options: controllers, transponders, multiplexer-demultiplexer, add/drop, Raman amplifiers, and Cisco Any Rate muxponder cards. You will use the various cards to configure terminal, amplifier, mesh, split, Optical Service Channel (OSC) regenerator, and Reconfigurable Optical Add/Drop Multiplexing (ROADM) nodes. Finally, you will learn how to use many of the tools and features available with the Cisco Transport Controller to perform maintenance, testing, and basic troubleshooting of your optical network. Course Outline DWDM Optical Platform Foundation Chassis and Cards Hardware Installation Node Turn-Up and Circuit Creation Node and Multishelf Configurations SMR-Based Rings 10Gb Circuit Protection Any Rate Card Configuration Raman Amplifiers Maintenance and Basic Troubleshooting Additional course details: Nexus Humans Cisco Optical Technology Intermediate v3.0 (OPT200) 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 Optical Technology Intermediate v3.0 (OPT200) 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.