59702 Courses

(10-13yrs) Commercial Street is perfect for the kids who just can't stop moving when One Direction and Beyonce come on the telly! Using a range of music from the latest pop songs, learning fun choreography! TRIAL BOOKINGS: Of course you are welcome to watch the trial class but following the trial, WhizzDancers are expected to be independent in the room. TERM BOOKINGS: You are welcome to watch the first class but following this your WhizzDancer will be expected to go in the class independently. You will be expected to provide full uniform. Details will be sent following. We have lots of opportunities ahead for your WhizzDancer including exams and shows. We look forward to meeting them in the studio :) Downstairs Dance Studio Please bring: - Comfortable clothes to move in (no zips or demin) - No ballet shoes required for the trial Please contact info@whizzdance.com for more information on how to book your free trial. 

 (7-10yrs) Commercial Street is perfect for the kids who just can't stop moving when One Direction and Beyonce come on the telly! Using a range of music from the latest pop songs, learning fun choreography! TRIAL BOOKINGS: Of course you are welcome to watch the trial class but following the trial, WhizzDancers are expected to be independent in the room. TERM BOOKINGS: You are welcome to watch the first class but following this your WhizzDancer will be expected to go in the class independently. You will be expected to provide full uniform. Details will be sent following. We have lots of opportunities ahead for your WhizzDancer including exams and shows. We look forward to meeting them in the studio :) Downstairs Dance Studio Please bring: - Comfortable clothes to move in (no zips or demin) - No ballet shoes required for the trial Please contact info@whizzdance.com for more information on how to book your free trial. 

(4.5-7yrs) Commercial Street is perfect for the kids who just can't stop moving when One Direction and Beyonce come on the telly! Using a range of music from the latest pop songs, learning fun choreography! TRIAL BOOKINGS: Of course you are welcome to watch the trial class but following the trial, WhizzDancers are expected to be independent in the room. TERM BOOKINGS: You are welcome to watch the first class but following this your WhizzDancer will be expected to go in the class independently. You will be expected to provide full uniform. Details will be sent following. We have lots of opportunities ahead for your WhizzDancer including exams and shows. We look forward to meeting them in the studio :) Downstairs Dance Studio Please bring: - Comfortable clothes to move in (no zips or demin) - No ballet shoes required for the trial Please contact info@whizzdance.com for more information on how to book your free trial. 

(5-7yrs) The syllabus is based on the ISTD grade however we do also incorporate an imaginative playful approach to the work to keep the Ballet fun. All technique can be boring and we don't want that! TRIAL BOOKINGS: Of course you are welcome to watch the trial class but following the trial, WhizzDancers are expected to be independent in the room. TERM BOOKINGS: You are welcome to watch the first class but following this your WhizzDancer will be expected to go in the class independently. You will be expected to provide full uniform. Details will be sent following. We have lots of opportunities ahead for your WhizzDancer including exams and shows. We look forward to meeting them in the studio :) Upstairs Dance Studio Please bring: - Comfortable clothes to move in (no zips or demin) - No ballet shoes required for the trial Please contact info@whizzdance.com for more information on how to book your free trial. 

Duration 5 Days 30 CPD hours This course is intended for Technology ConsultantSystem AdministratorSystem ArchitectHelp Desk / COE Support Overview Explain the architecture of SAP NetWeaver AS JavaStart and stop SAP NetWeaver AS JavaCarry out basic configurations for SAP NetWeaver AS JavaClassify network security conceptsSet up SSL encryption for SAP NetWeaver AS JavaExplain the architecture of the User Management EngineConfigure the User Management EngineCarry out user and authorization maintenanceUnderstand and change the standard logon procedure of SAP NetWeaver AS JavaMaintain destinations and the JCo RFC ProviderUnderstand the architecture and the tasks of the SAP NetWeaver Development InfrastructureExplain the process flow of the development process using the SAP NetWeaver Development InfrastructureSpecify the options for monitoring SAP NetWeaver AS JavaConnect SAP NetWeaver AS Java to a central Monitoring systemDisplay Monitoring and logging data using the SAP NetWeaver AdministratorImplement corrections for SAP NetWeaver AS Java In this course, students learn how to explain the architecture of SAP NetWeaver AS Java, carry out basic configurations for SAP NetWeaver AS Java, and much more. Fundamental Concepts of Java Describing the Fundamental Concepts of Java Describing the Architecture of the SAP NetWeaver Application Server (SAP NetWeaver AS) Outlining the Java Cluster Architecture Describing the Internal Structure of SAP NetWeaver AS for Java SAP NetWeavear AS for Java Start and Stop Procedures Starting and Stopping Procedures in SAP NetWeaver AS for Java Evaluating the Tools for Starting and Stopping an SAP System Evaluating Load Balancing Options in SAP NetWeaver AS for Java Operating the Java Startup and Control Framework Analyzing the Logs of Start and Stop Processes in SAP NetWeaver AS for Java Basic Configuration of SAP NetWeaver AS for Java Identifying the Administration Tools Used in Configuration Maintaining the Basic Configuration of SAP NetWeaver AS for Java with the Config Tool Configuring SAP NetWeaver AS for Java with SAP NetWeaver Administrator Configuring the Properties of the Central Services Instance Administering the Internet Communication Manager (ICM) Process Infrastructure Security Describing Network Security Setting Up the Secure Sockets Layer (SSL) User and Authorization Administration Configuring the SAP User Management Engine (UME) Maintaining Users and Groups Managing Java Authorization Administrating Special Principles Configuring the Logon Procedure in SAP NetWeaver AS for Java Java Connectors and Destinations Creating Connections to Other Systems Creating Connections to Other Systems with J2EE Connector Architecture (JCA) Change Management and Software Logistics Structuring the Java Development Approach Describing the Components of SAP NetWeaver Development Infrastructure Developing and Releasing Java Changes with SAP NetWeaver Development Infrastructure Transporting Java Developments Monitoring Monitoring SAP NetWeaver AS for Java Connecting to a Central Monitoring System (CEN) Configuring Availability Monitoring Configuring the Log and Trace Files Monitoring a System with SAP Solution Manager Software Maintenance Preparing for Software Maintenance Describing Java Support Packages, Stacks, and Patches Deploying Corrections with Software Update Manager (SUM) in SAP NetWeaver AS for Java Deploying Java Archives with Alternative Tools Outlining the Backup Strategy in SAP NetWeaver AS for Java

Duration 1 Days 6 CPD hours This course is intended for Individuals planning to deploy applications and create application environments on Google Cloud. Developers, systems operations professionals, and solution architects getting started with Google Cloud. Executives and business decision makers evaluating the potential of Google Cloud to address their business needs. Overview Identify the purpose and value of Google Cloud products and services. Interact with Google Cloud services. Describe ways in which customers have used Google Cloud. Choose among and use application deployment environments on Google Cloud: App Engine, Google Kubernetes Engine, and Compute Engine. Choose among and use Google Cloud storage options: Cloud Storage, Cloud SQL, Cloud Bigtable, and Firestore. Make basic use of BigQuery, Google's managed data warehouse for analytics. This course uses lectures, demos, and hands-on labs to give you an overview of Google Cloud products and services so that you can learn the value of Google Cloud and how to incorporate cloud-based solutions into your business strategies. Introducing Google Cloud Platform Explain the advantages of Google Cloud Platform. Define the components of Google's network infrastructure, including: Points of presence, data centers, regions, and zones. Understand the difference between Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS). Getting Started with Google Cloud Platform Identify the purpose of projects on Google Cloud Platform. Understand the purpose of and use cases for Identity and Access Management. List the methods of interacting with Google Cloud Platform. Lab: Getting Started with Google Cloud Platform. Google Compute Engine and Networking Identify the purpose of and use cases for Google Compute Engine. Understand the basics of networking in Google Cloud Platform. Lab: Deploying Applications Using Google Compute Engine. Google Cloud Platform Storage Options Understand the purpose of and use cases for: Google Cloud Storage, Google Cloud SQL, and Google Cloud Bigtable. Learn how to choose between the various storage options on Google Cloud Platform. Lab: Integrating Applications with Google Cloud Storage. Google Container Engine Define the concept of a container and identify uses for containers. Identify the purpose of and use cases for Google Container Engine and Kubernetes. Introduction to Hybrid and Multi-Cloud computing (Anthos). Lab: Deploying Applications Using Google Container Engine. Google App Engine and Google Cloud Datastore Understand the purpose of and use cases for Google App Engine and Google Cloud Datastore. Contrast the App Engine Standard environment with the App Engine Flexible environment. Understand the purpose of and use cases for Google Cloud Endpoints. Lab: Deploying Applications Using App Engine and Cloud Datastore. Deployment and Monitoring Understand the purpose of template-based creation and management of resources. Understand the purpose of integrated monitoring, alerting, and debugging. Lab: Getting Started with Stackdriver and Deployment Manager. Big Data and Machine Learning Understand the purpose of and use cases for the products and services in the Google Cloud big data and machine learning platforms. Lab: Getting Started with BigQuery. Summary and Review Summary and Review. What's Next?.

Duration 2 Days 12 CPD hours Overview Understand why Blockchain is needed and where Explore the major components of BlockchainLearn about Hyperledger Fabric and the structure of the Hyperledger ArchitectureLean the features of the Fabric model including chaincode, SDKs, Ledger, Security and Membership ServicesPerform comprehensive labs on writing chaincodeExplore the architecture of Hyperledger FabricUnderstand and perform in depth labs on Bootstrapping the NetworkPerform comprehensive labs to integrate/develop an application with Hyperledger Fabric running a smart contractBuild applications on Hyperledger FabricCourse Outline: This training course has been created to walk you through Chaincode Development, Testing, and Deployment for a Hyperledger Fabric Network catering specifically toward Golang written Chaincode (Fabric?s original Chaincode Language). Additionally as an Application Developer you will learn how to write, and prepare Client Applications using the most mature Standard Development Kit in Hyperledger Fabric, NodeJS. Blockchain Basics (Overview)Hyperledger Fabric Development EnvironmentKnowing the Difference: ComposerChaincode Use CasesChaincode BasicsGolang Shim DevelopmentDatabases for the DeveloperChaincode Dev. Deployment and InteractionsClients & SDK Development: Fabric-NetworkClients & SDK Development: Fabric-Client InteractionsLogging and Monitoring

(6-7yrs) The syllabus is based on the ISTD grade however we do also incorporate an imaginative playful approach to the work to keep the Ballet fun. All technique can be boring and we don't want that! TRIAL BOOKINGS: Of course you are welcome to watch the trial class but following the trial, WhizzDancers are expected to be independent in the room. TERM BOOKINGS: You are welcome to watch the first class but following this your WhizzDancer will be expected to go in the class independently. You will be expected to provide full uniform. Details will be sent following. We have lots of opportunities ahead for your WhizzDancer including exams and shows. We look forward to meeting them in the studio :) Downstairs Dance Studio (Stage) Please bring: - Comfortable clothes to move in (no zips or demin) - A teddy - No ballet shoes required for the trial Please contact info@whizzdance.com for more information on how to book your free trial. 

(6-7yrs) The syllabus is based on the ISTD grade however we do also incorporate an imaginative playful approach to the work to keep the Ballet fun. All technique can be boring and we don't want that! TRIAL BOOKINGS: Of course you are welcome to watch the trial class but following the trial, WhizzDancers are expected to be independent in the room. TERM BOOKINGS: You are welcome to watch the first class but following this your WhizzDancer will be expected to go in the class independently. You will be expected to provide full uniform. Details will be sent following. We have lots of opportunities ahead for your WhizzDancer including exams and shows. We look forward to meeting them in the studio :) Downstairs Dance Studio (Stage) Please bring: - Comfortable clothes to move in (no zips or demin) - A teddy - No ballet shoes required for the trial Please contact info@whizzdance.com for more information on how to book your free trial. 

Duration 4 Days 24 CPD hours This course is intended for This class is intended for experienced developers who are responsible for managing big data transformations including: Extracting, loading, transforming, cleaning, and validating data. Designing pipelines and architectures for data processing. Creating and maintaining machine learning and statistical models. Querying datasets, visualizing query results and creating reports Overview Design and build data processing systems on Google Cloud Platform. Leverage unstructured data using Spark and ML APIs on Cloud Dataproc. Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow. Derive business insights from extremely large datasets using Google BigQuery. Train, evaluate and predict using machine learning models using TensorFlow and Cloud ML. Enable instant insights from streaming data Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hand-on labs to show you how to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning. This course covers structured, unstructured, and streaming data. Introduction to Data Engineering Explore the role of a data engineer. Analyze data engineering challenges. Intro to BigQuery. Data Lakes and Data Warehouses. Demo: Federated Queries with BigQuery. Transactional Databases vs Data Warehouses. Website Demo: Finding PII in your dataset with DLP API. Partner effectively with other data teams. Manage data access and governance. Build production-ready pipelines. Review GCP customer case study. Lab: Analyzing Data with BigQuery. Building a Data Lake Introduction to Data Lakes. Data Storage and ETL options on GCP. Building a Data Lake using Cloud Storage. Optional Demo: Optimizing cost with Google Cloud Storage classes and Cloud Functions. Securing Cloud Storage. Storing All Sorts of Data Types. Video Demo: Running federated queries on Parquet and ORC files in BigQuery. Cloud SQL as a relational Data Lake. Lab: Loading Taxi Data into Cloud SQL. Building a Data Warehouse The modern data warehouse. Intro to BigQuery. Demo: Query TB+ of data in seconds. Getting Started. Loading Data. Video Demo: Querying Cloud SQL from BigQuery. Lab: Loading Data into BigQuery. Exploring Schemas. Demo: Exploring BigQuery Public Datasets with SQL using INFORMATION_SCHEMA. Schema Design. Nested and Repeated Fields. Demo: Nested and repeated fields in BigQuery. Lab: Working with JSON and Array data in BigQuery. Optimizing with Partitioning and Clustering. Demo: Partitioned and Clustered Tables in BigQuery. Preview: Transforming Batch and Streaming Data. Introduction to Building Batch Data Pipelines EL, ELT, ETL. Quality considerations. How to carry out operations in BigQuery. Demo: ELT to improve data quality in BigQuery. Shortcomings. ETL to solve data quality issues. Executing Spark on Cloud Dataproc The Hadoop ecosystem. Running Hadoop on Cloud Dataproc. GCS instead of HDFS. Optimizing Dataproc. Lab: Running Apache Spark jobs on Cloud Dataproc. Serverless Data Processing with Cloud Dataflow Cloud Dataflow. Why customers value Dataflow. Dataflow Pipelines. Lab: A Simple Dataflow Pipeline (Python/Java). Lab: MapReduce in Dataflow (Python/Java). Lab: Side Inputs (Python/Java). Dataflow Templates. Dataflow SQL. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer Building Batch Data Pipelines visually with Cloud Data Fusion. Components. UI Overview. Building a Pipeline. Exploring Data using Wrangler. Lab: Building and executing a pipeline graph in Cloud Data Fusion. Orchestrating work between GCP services with Cloud Composer. Apache Airflow Environment. DAGs and Operators. Workflow Scheduling. Optional Long Demo: Event-triggered Loading of data with Cloud Composer, Cloud Functions, Cloud Storage, and BigQuery. Monitoring and Logging. Lab: An Introduction to Cloud Composer. Introduction to Processing Streaming Data Processing Streaming Data. Serverless Messaging with Cloud Pub/Sub Cloud Pub/Sub. Lab: Publish Streaming Data into Pub/Sub. Cloud Dataflow Streaming Features Cloud Dataflow Streaming Features. Lab: Streaming Data Pipelines. High-Throughput BigQuery and Bigtable Streaming Features BigQuery Streaming Features. Lab: Streaming Analytics and Dashboards. Cloud Bigtable. Lab: Streaming Data Pipelines into Bigtable. Advanced BigQuery Functionality and Performance Analytic Window Functions. Using With Clauses. GIS Functions. Demo: Mapping Fastest Growing Zip Codes with BigQuery GeoViz. Performance Considerations. Lab: Optimizing your BigQuery Queries for Performance. Optional Lab: Creating Date-Partitioned Tables in BigQuery. Introduction to Analytics and AI What is AI?. From Ad-hoc Data Analysis to Data Driven Decisions. Options for ML models on GCP. Prebuilt ML model APIs for Unstructured Data Unstructured Data is Hard. ML APIs for Enriching Data. Lab: Using the Natural Language API to Classify Unstructured Text. Big Data Analytics with Cloud AI Platform Notebooks What's a Notebook. BigQuery Magic and Ties to Pandas. Lab: BigQuery in Jupyter Labs on AI Platform. Production ML Pipelines with Kubeflow Ways to do ML on GCP. Kubeflow. AI Hub. Lab: Running AI models on Kubeflow. Custom Model building with SQL in BigQuery ML BigQuery ML for Quick Model Building. Demo: Train a model with BigQuery ML to predict NYC taxi fares. Supported Models. Lab Option 1: Predict Bike Trip Duration with a Regression Model in BQML. Lab Option 2: Movie Recommendations in BigQuery ML. Custom Model building with Cloud AutoML Why Auto ML? Auto ML Vision. Auto ML NLP. Auto ML Tables.