At Dinesh Teja Groups, our mission is to empower businesses worldwide through our customized Digital Marketing Services. We are experts – to build your business in online. We use various methods like Lead Generation, search engine optimization (SEO), social media marketing (SMO), and paid advertising (PPC) to get you more website visitors and achieve your business goals.
Date: Monday 27th November Location: Studio A Time: 4pm Writer turned director Paul Schrader (Taxi Driver, Raging Bull, First Reformed) created a unique, avant-garde biopic about notorious Japanese author Yukio Mishima, who embraced Japan's traditions and fought against the gradual westernisation that became common following the end of World War Two. Using adaptations of sections of his novels, as well as traditional recounting of real-life events, this film sticks out as one of Schrader's best, and continues to inspire awe and heated discussion years later.
DATE: Friday 1st November TIME: 4pm LOCATION: Studio A Covering Everything you've ever wanted to know (but been too afraid to ask) about starting and running a successful film production company. Join James Haslam and Dominic Howlett as they explain how you can develop and grow your own independent film company in only a few years. Through careful planning, hard work and dedication, you can achieve your dream job and potential, whilst cutting your own path through the quagmire. They are two of the heads of Window-Zebra Media, who have been producing work for clients as varied as the BBC, NHS, Google, Universal and Sky Arts, as well as many more! Some of the areas covered will include: When to start your company Funding vs self-funding Getting/understanding clients How to survive in an ever-changing industry Some of our early mistakes How to keep your passion projects going Be sure to book in advance to guarantee yourself a space.
DATE: Wednesday 4th December TIME: 4pm LOCATION: Studio A Ever had questions on how to find and deliver work as a freelancer in the film industry? Worry no more, as Max Albrecht, creator and sole trader of Critical Mask Pictures, will be coming in to provide insight and understanding of this mystifying field for you. Whatever queries you have, however much you're uncertain of, Max will be able to dispel all concerns related to this crucial area of the filmmaking world.
Our rather awesome bass course return with a seven session run falling on alternate Saturdays. You'll learn basic technique from how to move your fingers, play your first arpeggios, accompany a band, play your first classic bass riffs and of course, execute the perfect bass face. You don't even need a bass guitar to join. A regular six string guitar will do, and, once we've got you addicted to the groove, you can go out and buy your self a Rickenbacker.
Keeping your vision alive
Belonging & Connection
Duration 5 Days 30 CPD hours This course is intended for Audience for this course This course is designed for system administrators responsible for creating OpenShift Enterprise instances, deploying applications, creating process customizations, managing instances and projects. Prerequisites for this course Have taken Red Hat Enterprise Linux Administration I and II (RH124 and RH134), or equivalent Red Hat Enterprise Linux© system administration experience Be certified as a Red Hat Certified System Administrator (RHCSA), or equivalent Red Hat Enterprise Linux system administration experience Be certified as a Red Hat Certified Engineer (RHCE©) Overview Learn to install, configure, and manage OpenShift Enterprise by Red Hat instances - OpenShift Enterprise Administration (DO280) prepares the system administrator to install, configure, and manage OpenShift Enterprise by Red Hat© instances. OpenShift Enterprise, Red Hat's platform-as-a-service (PaaS) offering, provides pre-defined deployment environments for applications of all types through its use of container technology. This creates an environment that supports DevOps principles such as reduced time to market and continuous delivery. - In this course, students will learn how to install and configure an instance of OpenShift Enterprise, test the instance by deploying a real world application, and manage projects/applications through hands-on labs. - Course content summary - Container concepts - Configuring resources with the command line interface - Building a pod - Enabling services for a pod - Creating routes - Downloading and configuring images - Rolling back and activating deployments - Creating custom S2I images This course will empower you to install and administer the Red Hat© OpenShift© Container Platform, with hands-on, lab-based materials that show you how to install, configure, and manage OpenShift clusters and deploy sample applications to further understand how developers will use the platform. This course is based on Red Hat© Enterprise Linux© 7.5 and Openshift Container Platform 3.9. OpenShift is a containerized application platform that allows your enterprise to manage container deployments and scale your applications using Kubernetes. OpenShift provides predefined application environments and builds upon Kubernetes to provide support for DevOps principles such as reduced time to market, infrastructure-as-code, continuous integration (CI), and continuous delivery (CD). 1 - INTRODUCTION TO RED HAT OPENSHIFT ENTERPRISE Review features and architecture of OpenShift Enterprise. 2 - INSTALL OPENSHIFT ENTERPRISE Install OpenShift Enterprise and configure a master and node. 3 - EXECUTE COMMANDS Execute commands using the command line interface. 4 - BUILD APPLICATIONS Create, build, and deploy applications to an OpenShift Enterprise instance. 5 - PERSISTENT STORAGE Provision persistent storage and use it for the internal registry. 6 - BUILD APPLICATIONS WITH SOURCE-TO-IMAGE (S2I) Create and build applications with S2I and templates. 7 - MANAGE THE SYSTEM Use OpenShift Enterprise components to manage deployed applications. 8 - CUSTOMIZE OPENSHIFT ENTERPRISE Customize resources and processes used by OpenShift Enterprise. 9 - COMPREHENSIVE REVIEW Practice and demonstrate knowledge and skills learned in the course. 10 - NOTE: Course outline is subject to change with technology advances and as the nature of the underlying job evolves. For questions or confirmation on a specific objective or topic, please contact us. Additional course details: Nexus Humans Red Hat OpenShift Administration II: Operating a Production Kubernetes Cluster (DO280) 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 Red Hat OpenShift Administration II: Operating a Production Kubernetes Cluster (DO280) 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 course is designed for data scientists with experience of Python who need to learn how to apply their data science and machine learning skills on Azure Databricks. Overview After completing this course, you will be able to: Provision an Azure Databricks workspace and cluster Use Azure Databricks to train a machine learning model Use MLflow to track experiments and manage machine learning models Integrate Azure Databricks with Azure Machine Learning Azure Databricks is a cloud-scale platform for data analytics and machine learning. In this course, students will learn how to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning. Introduction to Azure Databricks Getting Started with Azure Databricks Working with Data in Azure Databricks Training and Evaluating Machine Learning Models Preparing Data for Machine Learning Training a Machine Learning Model Managing Experiments and Models Using MLflow to Track Experiments Managing Models Managing Experiments and Models Using MLflow to Track Experiments Managing Models Integrating Azure Databricks and Azure Machine Learning Tracking Experiments with Azure Machine Learning Deploying Models