2625 Business courses delivered Live Online

Duration 5 Days 30 CPD hours This course is intended for This course is recommended for: ? System Administrators ? Patch Administrators ? SA Administrators ? Policy Setters ? IT Managers ? IT or Application Architects ? Data Center Managers ? Application Experts ? Operations Experts ? Deployment Specialists ? Application Deployment Manager Administrators ? QA Team Members and Managers ? Security Administrators ? Other technical personnel who are responsible for data center automation Overview After completing this course, you should be able to: ? Describe the Server Automation (SA) core architecture and key components of SA ? Integrate unmanaged servers into the SA managed environment and discover server information through SA ? Use the Operation System (OS) Provisioning feature of SA to automate the installation of OS onto servers ? Provision virtual servers and manage their server lifecycle through SA ? Create static and dynamic device groups to manage multiple servers as groups ? Manage packages as part of the software management feature in SA ? Use a policy-based management methodology to provision software and manage software updates ? Describe and use Application Deployment Manager (ADM) to manage an application lifecycle using SA ? Use the Application Configuration feature of SA to manage the values in configuration files on managed servers ? Manage patches on various OS platforms using a patch policy or software policy ? Use the Audit and Remediation feature of SA to ensure servers and applications are compliant with defined best practices or corporate policies ? Use the Compliance feature of SA to discover out-of-compliance servers in the managed environment and ensure that they are in compliance with corporate policies ? Use the Global Shell and Global File System (OGFS) features to explore and manage servers in an SA environment ? Create, manage, and execute scripts I SA to manage servers or server groups This five-day course provides the necessary foundation to manage the data center servers and application environment using HP Server Automation (SA) 10. The course covers the key components of SA and their functionality. Course Overview and Introduction to HP Server Automation ? Discuss the IT organization?s preference for automation ? Discuss the main features of HP SA ? Discuss the benefits of using SA ? Describe the distributed architecture of SA Exploring the Architecture and Interfaces ? Define an SA core ? Describe the functionality of each key component of SA ? Describe SA users ? Use the SA client to explore a managed server environment ? Describe the SA core architecture and key components ? Learn how to use the SA interfaces to explore the server environment Agent Functionality and Server Integration ? Differentiate the agent types ? Describe the SA agent functionality ? Specify the requirements for installing an SA agent onto an unmanaged server ? Install an agent onto an unmanaged server using the SA client and manual installation ? Troubleshoot agent installation and communication failures ? Explore the server inventory using the Device Explorer of the SA client ? Describe the Agent Tools feature within SA ? Integrate existing, unmanaged servers into the SA managed environment ? Summarize what server information is collected by the agent ? Explain the server module objects ? Explain agent extensions Provisioning Operating Systems (OS) Using OS Build Plans (OSBPs) ? Describe the Operating System (OS) provisioning feature within SA ? Describe the process of provisioning an OS on a server ? Define and run an OS Build Plan (OSBP) Dynamic Host Configuration Protocol (DHCP) Less or Static IP Provisioning ? Configure and run the Managed Boot Client(s) (MBC) ? Provision Operating Systems (OS) without using Dynamic Host Configuration Protocol (DHCP) (or by using Static IP) Managing Virtualization ? Describe the supported virtualization management features in SA ? Describe the process of provisioning virtual servers for VMware Enterprise Server Xi (VMware ESXi) and Solaris 10 ? Identify the relationship between the hypervisor and its virtual servers ? Manage the lifecycle of VMware Virtual Machines (VMs) ? Manage the lifecycle of Solaris zones ? Integrate with VMware Virtual Center using Virtualization Service (VS) Exploring Device Groups ? Explain device groups and their characteristics ? Describe the different types of device groups supported in SA ? Create static and dynamic device groups using the SA client Exploring Device Groups with Search Results ? Describe the different types of search in the SA client ? Discuss the process to save and retrieve search results ? Create device groups from search results ? Develop sample reports using advanced search Managing Packages ? Describe how to manage packages in SA ? Discuss the supported package types ? Explain how to organize the software library ? Import and export packages into the software repository ? Install and uninstall packages ? Manage Red Hat Package Manager (RPM) packages Software Management ? Describe the use of policy-based software management in SA ? Describe how to manage software policies in SA ? List the software management setup tasks ? Install and uninstall software using software policies ? Manage software updates using software policies Working with Application Deployment Manager (ADM) ? Describe the Application Deployment Manager (ADM) and its functions ? Manage the ADM ? Set permissions for ADM ? Define an application, a target, and a component ? Deploy an application ? Manage an Application Deployment job ? Describe the rollback and undeploy process ? Import and export Application Deployment data from SA Application Configuration Management ? Describe how application configurations are managed in SA ? Describe application configuration components ? Control values using an application configuration inheritance model ? Push application configuration values to servers Managing Patches ? Describe the patch management feature in SA ? View patch information ? Describe UNIX patch management tasks ? Install patches using patch policies on the Windows platform ? Identify Microsoft patch administration tasks ? Manage patches on Red Hat LINUX Working with Audits, Snapshots, and Remediation ? Describe the audit and remediation feature in SA ? Create and run audits ? Configure file audit rules ? Set audit rule exceptions ? View audit results and remediate the differences ? Describe how to use Business Service Automation Essentials (BSAE) Network to run compliance audits Enforcing Compliance ? Define server compliance concepts ? Describe the compliance management feature in SA ? Scan and view the compliance status of servers ? Remediate non-compliant servers Exploring Servers Using the Global Shell and Global File System ? Describe the Global Shell and Opsware Global File System (OGFS) features within SA ? Describe how Global Shell and OGFS features can be used to manage servers within the SA environment ? Describe how to navigate and filter data in the OGFS using the Global Shell ? Use the Remote Shell (ROSH) command to login to a managed server and execute shell scripts on a managed server ? Use the SA remote terminal feature to access and manage servers in the managed environment Scripting with SA ? Describe the script management and execution feature in SA ? Create scripts using the SA client ? Execute ad hoc or saved scripts ? View and download script results ? Describe PowerShell integration with SA ? Explain the Extensible Discovery server module ? Introduce Automation Platform eXtensions (APX) scripting Exploring Reports in SA ? Explain SA reports ? List the reports available in SA ? Generate an SA report ? Explain Business Service Automation (BSA) Essentials basics as a reporting tool OS Provisioning with OS Sequences ? Describe the OS Provisioning feature within SA ? Describe the process of provisioning an OS on a server ? Define and run an OS Sequence

KYC, AML, & GDPR Training Course Overview This KYC, AML, and GDPR Training course offers a comprehensive introduction to the regulatory frameworks governing financial institutions and businesses. Learners will gain in-depth knowledge of Know Your Customer (KYC) protocols, Anti-Money Laundering (AML) procedures, and GDPR compliance, understanding their importance in maintaining legal and ethical business operations. The course equips professionals with the necessary skills to navigate the regulatory landscape, safeguard businesses against financial crime, and ensure compliance with data privacy laws. By the end of the course, learners will be well-prepared to apply their knowledge in real-world business environments, contributing to secure and compliant operations. Course Description This course delves into the key principles of KYC, AML, and GDPR, exploring their relevance across different industries. Learners will understand the processes involved in customer due diligence, how to identify and prevent money laundering, and how businesses must comply with data privacy regulations. The course provides a structured learning experience, focusing on the practical application of compliance measures, exploring case studies, and providing insights into current and future trends in the industry. Upon completion, participants will possess the expertise to implement these regulations within their organisations, mitigate risks, and contribute to a culture of compliance. KYC, AML, & GDPR Training Curriculum Module 01: Introduction to KYC Module 02: Customer Due Diligence Module 03: AML (Anti-Money Laundering) Module 04: KYC, AML, and Data Privacy Regulations for Business Operations in the United Kingdom Module 05: Regulations to be Complied by Industries Module 06: Methods for Carrying out KYC and AML and the Future of KYC Compliance (See full curriculum) Who is this course for? Individuals seeking to understand financial regulations and compliance. Professionals aiming to develop their knowledge of KYC, AML, and GDPR in their career. Beginners with an interest in the financial services or regulatory compliance industry. Business owners or managers who want to ensure their organisation’s compliance. Career Path Compliance Officer Anti-Money Laundering Specialist KYC Analyst Data Protection Officer Regulatory Compliance Consultant Risk Management Professional

Learn to Drive Traffic into Sales through Digital Marketing Course Overview This course on "Learn to Drive Traffic into Sales through Digital Marketing" provides learners with the essential skills to effectively use digital marketing strategies to attract, engage, and convert online traffic into sales. Covering key areas such as SEO, social media marketing, content creation, and email marketing, the course equips learners with the knowledge to optimise digital campaigns and enhance business visibility. The course is designed for individuals seeking to master digital marketing techniques to increase online sales and drive business growth. By the end of the course, learners will have a comprehensive understanding of traffic generation strategies and how to convert them into tangible business results. Course Description In this course, learners will explore various digital marketing techniques aimed at driving traffic to websites and converting that traffic into sales. Topics include SEO fundamentals, social media marketing strategies, email marketing campaigns, and creating compelling content. The course provides a structured approach to understanding how to leverage these strategies effectively, using data analytics to track and improve performance. Learners will gain the ability to create digital marketing plans, monitor campaign success, and optimise strategies to enhance online sales. The course is designed for those who want to advance their digital marketing skills and improve conversion rates, whether for personal projects or within their professional roles. Learn to Drive Traffic into Sales through Digital Marketing Curriculum Module 01: Introduction to Digital Marketing Module 02: SEO Strategies for Traffic Growth Module 03: Social Media Marketing for Engagement Module 04: Email Marketing to Convert Leads Module 05: Creating Content that Converts Module 06: Analytics and Campaign Optimisation (See full curriculum) Who is this course for? Individuals seeking to increase their online sales through digital marketing. Professionals aiming to enhance their digital marketing knowledge and career prospects. Beginners with an interest in driving business growth via online channels. Entrepreneurs wanting to optimise their digital marketing efforts. Career Path Digital Marketing Specialist SEO Manager Social Media Manager Content Marketing Strategist Email Marketing Coordinator E-commerce Manager

Duration 4 Days 24 CPD hours This course is intended for The workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful. Overview Overview of data science and machine learning at scale Overview of the Hadoop ecosystem Working with HDFS data and Hive tables using Hue Introduction to Cloudera Data Science Workbench Overview of Apache Spark 2 Reading and writing data Inspecting data quality Cleansing and transforming data Summarizing and grouping data Combining, splitting, and reshaping data Exploring data Configuring, monitoring, and troubleshooting Spark applications Overview of machine learning in Spark MLlib Extracting, transforming, and selecting features Building and evaluating regression models Building and evaluating classification models Building and evaluating clustering models Cross-validating models and tuning hyperparameters Building machine learning pipelines Deploying machine learning models Spark, Spark SQL, and Spark MLlib PySpark and sparklyr Cloudera Data Science Workbench (CDSW) Hue This workshop covers data science and machine learning workflows at scale using Apache Spark 2 and other key components of the Hadoop ecosystem. The workshop emphasizes the use of data science and machine learning methods to address real-world business challenges. Using scenarios and datasets from a fictional technology company, students discover insights to support critical business decisions and develop data products to transform the business. The material is presented through a sequence of brief lectures, interactive demonstrations, extensive hands-on exercises, and discussions. The Apache Spark demonstrations and exercises are conducted in Python (with PySpark) and R (with sparklyr) using the Cloudera Data Science Workbench (CDSW) environment. The workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful. Overview of data science and machine learning at scaleOverview of the Hadoop ecosystemWorking with HDFS data and Hive tables using HueIntroduction to Cloudera Data Science WorkbenchOverview of Apache Spark 2Reading and writing dataInspecting data qualityCleansing and transforming dataSummarizing and grouping dataCombining, splitting, and reshaping dataExploring dataConfiguring, monitoring, and troubleshooting Spark applicationsOverview of machine learning in Spark MLlibExtracting, transforming, and selecting featuresBuilding and evauating regression modelsBuilding and evaluating classification modelsBuilding and evaluating clustering modelsCross-validating models and tuning hyperparametersBuilding machine learning pipelinesDeploying machine learning models Additional course details: Nexus Humans Cloudera Data Scientist Training 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 Cloudera Data Scientist Training 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.

E-Commerce: Complete Guide to Income Mastery Course Overview This comprehensive course offers a detailed guide to mastering income generation through e-commerce. It covers all essential aspects, from setting up an online store to implementing effective marketing strategies that increase sales and customer engagement. Learners will gain insight into choosing profitable niches, optimising product listings, and driving targeted traffic. The course also addresses advanced topics such as email marketing, social media advertising, and loyalty programmes to boost revenue streams. By the end of this course, participants will have a solid understanding of how to create, manage, and grow a successful e-commerce business, equipping them with the knowledge to generate sustainable online income. Course Description "E-Commerce: Complete Guide to Income Mastery" delves into the key components required to succeed in the competitive world of online retail. The curriculum explores foundational topics such as selecting the right niche and business model, alongside marketing tactics including social media campaigns and Facebook ad funnels. Learners will explore product video creation best practices and discover how to build customer loyalty through targeted programmes. The course also examines common pitfalls to avoid and introduces virtual assistant opportunities within the e-commerce sector. Designed for all levels, it provides a clear pathway to develop strategic skills for launching and scaling an online store, ensuring learners are prepared to maximise income potential in the evolving digital marketplace. E-Commerce: Complete Guide to Income Mastery Curriculum Module 01: Ecommerce Income Mastery – Overview Module 02: How to sell online step by step Module 03: Best Ecommerce Marketing Strategies Module 04: Hot Selling Ecommerce Business Ideas Module 05: Best Ecommerce Tips For Success Module 06: Best Dropshipping Product Categories to Sell Module 07: How to find the right eCommerce niche and start selling Module 08: How to drive traffic to your online store Module 09: Best Practices for highly effective eCommerce Product Videos Module 10: How to be a Virtual Assistant and start making income Module 11: Best eCommerce email marketing campaigns for higher engagement Module 12: Setting up an eCommerce loyalty program for more revenue Module 13: How to set up a Facebook ad funnel for e-commerce products Module 14: How to boost e-commerce sales using Instagram Module 15: Critical mistakes eCommerce store owners should avoid (See full curriculum) Who is this course for? Individuals seeking to build a sustainable income through e-commerce. Professionals aiming to enhance their digital marketing and sales skills. Beginners with an interest in starting an online retail business. Entrepreneurs looking to explore dropshipping and niche markets. Career Path E-commerce Store Owner Digital Marketing Specialist Social Media Manager Virtual Assistant in E-commerce Online Sales Consultant Dropshipping Business Manager

This BigQuery Conversion course is for users of SQL. We cover the interface and licensing differences and additional capabilities. Highlights of BigQuery. We will cover the general SQL topics ( see our intermediate outline ) and point out where the differences are. You would be able to move to this platform easily.

Course Overview Unlock your full creative potential with Creative Writing: Write Stories Like a Professional Writer! This course provides a comprehensive introduction to the art and craft of writing across a wide range of genres. Whether you aspire to write novels, poetry, children's books, or compelling non-fiction, this course offers practical insights and structured guidance to elevate your writing skills. Learners will explore key techniques for character development, dialogue creation, and story structuring, while gaining a deeper understanding of critical thinking and business writing. By the end of the course, you will be equipped with the knowledge and confidence to write professionally, refine your work through editing, and pursue opportunities for publication. Course Description Creative Writing: Write Stories Like a Professional Writer! takes you on an enriching journey through the world of creative writing. Covering fiction, non-fiction, poetry, and professional writing, the course develops both foundational and advanced writing techniques. Learners will engage with modules on writing horror and thriller stories, creating believable characters, crafting realistic dialogue, and understanding the publishing process. The course also introduces vital skills such as critical thinking and business writing to enhance versatility. With a focus on structured development and creativity, learners will build the confidence to produce polished, compelling pieces that meet professional standards. This course is suitable for individuals at all stages of their writing journey, offering the tools needed to transform ideas into powerful written works. Course Modules Module 01: Introduction to Creative Writing Module 02: The Development of Creative Writing Module 03: Novel Writing Module 04: Writing Non-Fiction Module 05: Creating Fictional Characters Module 06: Writing Realistic Dialogue Module 07: Writing Horrors, Thriller and Murder Stories Module 08: Writing for Children Module 09: Writing Poetry Module 10: Proposal Writing Module 11: Critical Thinking Module 12: Business Writing Module 13: Other Writings Module 14: Editing, Evaluating and Getting Published (See full curriculum) Who is this course for? Individuals seeking to master creative writing and storytelling techniques. Professionals aiming to enhance their communication and writing skills for diverse applications. Beginners with an interest in exploring the field of creative writing. Writers looking to prepare manuscripts for publication or self-publishing. Career Path Author Copywriter Content Writer Scriptwriter Editor Publishing Assistant Communications Officer Journalist Creative Writing Tutor

Duration 2 Days 12 CPD hours This course is intended for Customers and systems operators that want to learn fundamental AOS concepts and navigate Prism on AHV. Junior IT administrators and business leaders who manage Nutanix clusters in the datacenter and want a formal, hands-on, detailed introduction to Nutanix datacenter administration. The Nutanix Hybrid Cloud Fundamentals course introduces you to the products, capabilities, and technologies that serve as the foundation of Nutanix?s Hybrid Cloud solution.Begin by exploring the history of this technology space, including different types of clouds, and how on-prem and public infrastructures came together to create hybrid operating models. Then, delve deeper into essential Nutanix products ? AOS, AHV, and Prism ? while discussing how these products were designed to solve business challenges.And conclude by discussing certain fundamental aspects involved in operating the Nutanix Hybrid Cloud, such as cluster updates, managing virtual machines, reporting and performance metrics, and more Module 1: Introduction Describe course terminology, such as three-tier architecture, hyperconverged architecture, and public, private, and hybrid clouds. Module 2: Understanding AOS Concepts Describe self-healing architecture Describe replication factor Describe Nutanix multicloud solutions Module 3: Understanding Cluster Management Concepts Explain Prism Element features and benefits Explain Prism Central features and benefits Manage the Image Repository Upgrade the hypervisor and AOS on a cluster Describe Life Cycle Manager. Module 4: Understanding Storage Concepts Define a storage pool and storage container Identify components of AOS Distributed Storage Identify space-saving technologies Module 5: Managing VMs Create and manage virtual machines (VMs) Add a VM to a category Describe Acropolis Dynamic Scheduler (ADS) Describe data locality Module 6: Monitoring VMs and Cluster Health Use metrics to identify performance issues Measure VM performance using Nutanix tools: Health dashboard, Analysis dashboard, Alerts dashboard Use the Support Portal and Insights Module 7:Understanding Data Protection Concepts Describe how to enable data protection on a VM Define a retention policy Define Nutanix Mine Identify the different types of replication targets

Duration 1 Days 6 CPD hours This course is intended for This course is intended for data warehouse engineers, data platform engineers, and architects and operators who build and manage data analytics pipelines. Completed either AWS Technical Essentials or Architecting on AWS Completed Building Data Lakes on AWS Overview In this course, you will learn to: Compare the features and benefits of data warehouses, data lakes, and modern data architectures Design and implement a data warehouse analytics solution Identify and apply appropriate techniques, including compression, to optimize data storage Select and deploy appropriate options to ingest, transform, and store data Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights Secure data at rest and in transit Monitor analytics workloads to identify and remediate problems Apply cost management best practices In this course, you will build a data analytics solution using Amazon Redshift, a cloud data warehouse service. The course focuses on the data collection, ingestion, cataloging, storage, and processing components of the analytics pipeline. You will learn to integrate Amazon Redshift with a data lake to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon Redshift. Module A: Overview of Data Analytics and the Data Pipeline Data analytics use cases Using the data pipeline for analytics Module 1: Using Amazon Redshift in the Data Analytics Pipeline Why Amazon Redshift for data warehousing? Overview of Amazon Redshift Module 2: Introduction to Amazon Redshift Amazon Redshift architecture Interactive Demo 1: Touring the Amazon Redshift console Amazon Redshift features Practice Lab 1: Load and query data in an Amazon Redshift cluster Module 3: Ingestion and Storage Ingestion Interactive Demo 2: Connecting your Amazon Redshift cluster using a Jupyter notebook with Data API Data distribution and storage Interactive Demo 3: Analyzing semi-structured data using the SUPER data type Querying data in Amazon Redshift Practice Lab 2: Data analytics using Amazon Redshift Spectrum Module 4: Processing and Optimizing Data Data transformation Advanced querying Practice Lab 3: Data transformation and querying in Amazon Redshift Resource management Interactive Demo 4: Applying mixed workload management on Amazon Redshift Automation and optimization Interactive demo 5: Amazon Redshift cluster resizing from the dc2.large to ra3.xlplus cluster Module 5: Security and Monitoring of Amazon Redshift Clusters Securing the Amazon Redshift cluster Monitoring and troubleshooting Amazon Redshift clusters Module 6: Designing Data Warehouse Analytics Solutions Data warehouse use case review Activity: Designing a data warehouse analytics workflow Module B: Developing Modern Data Architectures on AWS Modern data architectures

SAP Training: Overview What is SAP? SAP is one of the largest ERP(Enterprise Resource Planning) software in the world. It provides end to end solution for Financials, Manufacturing, Logistics, Distributions etc. SAP applications, built around their latest R/3 system, provide the capability to manage financial, asset, and cost accounting, production operations and materials, personnel, plants, and archived documents. The R/3 system runs on a number of platforms including Windows and MAC and uses the client/server model. SAP Business Cases/ Live Project Our SAP training courses are designed in a way which gives the students maximum exposure of real-life scenario through no of business cases and guidance on implementation by professional SAP Consultants. You receive a certificate once you finish the course from Osborne Training. SAP Certification During the training, you get access to Sap sandbox which continues even after training finishes until the completion of the Internship. You can also do an external exam to receive certification from SAP (Optional), for details on exam booking you may visit the SAP website. SAP Training Modules Available Financial & Controlling (FICO) High-Performance Analytic Appliance (HANA) Supply Relationship Management (SRM) Customer Relationship Management (CRM)