3216 Design courses in Reigate delivered Live Online

Duration 5 Days 30 CPD hours This course is intended for This course is designed for network and software engineers and hold job roles such as: Network administrator Network engineer Network manager System engineer Project manager Network designer Overview After taking this course, you should be able to: Describe network architectures, devices, and software used by service providers Describe the various Internet governance organizations, their roles, and tools available for governance information verification Configure Cisco Internetwork Operating System (Cisco IOS) and Cisco IOS XE routers Describe Cisco IOS XR software, perform initial configuration, and explain platform daily tasks Describe various access and core technologies used by service providers Describe various major switching technologies used by service providers Describe major overlay technologies and their usage, and configure Virtual Extensible LAN I (VxLAN) Describe various major routing protocols used by service providers Configure Layer 3 services used by service providers Describe Multiprotocol Label Switching (MPLS), components, protocols, and MPLS usage Describe usage of various services used and maintained by service providers Introduce Linux networking, Bourne Again Shell (BASH) scripting, and their usage within Cisco IOS XR software This course is designed to provide you with the foundational knowledge for the suite of Cisco© CCNP© Service Provider courses. The course expands what you learned from the Cisco CCNA© course with a focus on theoretical and practical knowledge needed for the Service Provider environment. Through a combination of lessons and hands-on practice, you will learn about architectures, protocols, software and hardware platforms, and solutions within the Service Provider realm. While this course does not lead directly to a certification exam, it does cover foundational knowledge critical to the success in the Service Provider Technology track. Course Outline Introducing Service Provider Architectures Describing Internet Governance Organizations Configuring the Cisco IOS and Cisco IOS XE Router Configuring Cisco IOS XR Router Introducing Access and Core Technologies in the Service Provider Environment Introducing Routing Technologies in the Service Provider Environment Describing MPLS Implementing Layer 3 Services Introducing Switching Technologies in the Service Provider Environment Introducing Overlay Technologies Implementing Service Provider Services Introducing Programmability on Cisco IOS XR Routers Lab outline Review Lab Environment Examine Governance Data Perform an Initial Cisco Internetworking Operating System (IOS XE) Configuration Configure Connectivity and Connectivity Verification on Cisco IOS XE Devices Perform Initial Cisco IOS XR Configuration Configure and Verify Connectivity on Cisco IOS XR Configure Intermediate System to Intermediate System (IS-IS) Configure Routing Information Protocol (RIPv2) and RIP extension (RIPng) Configure Basic Border Gateway Protocol (BGP) Configure MPLS Configure Internet Protocol Service Level Agreement (IP SLA) Configure Hot Standby Router Protocol (HSRP) with Object Tracking Configure Virtual Routing and Forwarding (VRFs) Configure Network Time Protocol (NTP) Use Linux Command Line Interface Configure IOS XR Using a Bash Script

Duration 1 Days 6 CPD hours This course is intended for This course is designed for business leaders and decision makers, including C-level executives, project and product managers, HR leaders, Marketing and Sales leaders, and technical sales consultants, who have a vested interest in the representation of ethical values in technology solutions. Other individuals who want to know more about data ethics are also candidates for this course. This course is also designed to assist learners in preparing for the CertNexus DEBIZ™ (Exam DEB-110) credential. The power of extracting value from data utilizing Artificial Intelligence, Data Science and Machine Learning exposes the learning differences between humans and machines. Humans can apply ethical principles throughout the decision-making process to avoid discrimination, societal harm, and marginalization to maintain and even enhance acceptable norms. Machines make decisions autonomously. So how do we train them to apply ethical principles as they learn from decisions they make? This course provides business professionals and consumers of technology core concepts of ethical principles, how they can be applied to emerging data driven technologies and the impact to an organization which ignores ethical use of technology. Introduction to Data Ethics Defining Data Ethics The Case for Data Ethics Identifying Ethical Issues Improving Ethical Data Practices Ethical Principles Ethical Frameworks Data Privacy Accountability Transparency and Explainability Human-Centered Values and Fairness Inclusive Growth, Sustainable Development, and Well-Being Applying Ethical Principles to Emerging Technology Improving Ethical Data Practices Sources of Ethical Risk Mitigating Bias Mitigating Discrimination Safety and Security Mitigating Negative Outputs Data Surveillance Assessing Risk Ethical Risks in sharing data Applying professional critical judgement Business Considerations Data Legislation Impact of Social and Behavioral Effects Trustworthiness Impact on Business Reputation Organizational Values and the Data Value Chain Building a Data Ethics Culture/Code of Ethics Balancing organizational goals with Ethical Practice Additional course details: Nexus Humans CertNexus Data Ethics for Business Professionals (DEBIZ) 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 CertNexus Data Ethics for Business Professionals (DEBIZ) 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 0.5 Days 3 CPD hours This course is intended for This course is designed for the non-technical end user of computers, mobile devices, networks, and the Internet, to enable you to use technology more securely to minimize digital risks. This course is also designed for you to prepare for the Certified CyberSAFE credential. You can obtain your Certified CyberSAFE certificate by completing the Certified CyberSAFE credential process on the CHOICE platform following the course presentation. Overview In this course, you will identify many of the common risks involved in using conventional end-user technology, as well as ways to use it safely, to protect yourself from those risks. You will: Identify the need for security Secure devices like desktops, laptops, smartphones, and more Use the Internet securely Regardless of your computer experience, this class will help you become more aware of technology ðrelated risks and what you can do to protect yourself and your organization from them. This course will help you to: ? Understand security compliance needs and requirements ? Recognize and avoid phishing and other social engineering ? Recognize and avoid viruses, ransomware, and other malware ? Help ensure data security on computers, mobile devices, networks, the Internet, and in the cloud. In this course, you will use discussions, case studies, and the experiences of your instructor and fellow students to explore the hazards and pitfalls of technology and learn how to use that technology safely and securely. Course includes access to the CyberSAFE assessment. Upon successful completion of the assessment, learners will receive the CyberSAFE credential and digital badge. Identifying the Need for Security Identify Security Compliance Requirements Recognize Social Engineering and Avoid Phishing and other Attacks Securing Devices Maintain Physical Security of Devices Use Passwords for Security Protect Your Data Identify and Mitigate Viruses, Ransomware, and other Malware Use Wireless Devices Securely Using the Internet Securely Browse the Web Safely Use Email Securely Use Social Networking Securely Use Cloud Services Securely Additional course details: Nexus Humans CertNexus CyberSAFE Extended Edition 2019 (CBS-310) 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 CertNexus CyberSAFE Extended Edition 2019 (CBS-310) 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 intended for: Developers responsible for developing Deep Learning applications Developers who want to understand concepts behind Deep Learning and how to implement a Deep Learning solution on AWS Overview This course is designed to teach you how to: Define machine learning (ML) and deep learning Identify the concepts in a deep learning ecosystem Use Amazon SageMaker and the MXNet programming framework for deep learning workloads Fit AWS solutions for deep learning deployments In this course, you?ll learn about AWS?s deep learning solutions, including scenarios where deep learning makes sense and how deep learning works. You?ll learn how to run deep learning models on the cloud using Amazon SageMaker and the MXNet framework. You?ll also learn to deploy your deep learning models using services like AWS Lambda while designing intelligent systems on AWS. Module 1: Machine learning overview A brief history of AI, ML, and DL The business importance of ML Common challenges in ML Different types of ML problems and tasks AI on AWS Module 2: Introduction to deep learning Introduction to DL The DL concepts A summary of how to train DL models on AWS Introduction to Amazon SageMaker Hands-on lab: Spinning up an Amazon SageMaker notebook instance and running a multi-layer perceptron neural network model Module 3: Introduction to Apache MXNet The motivation for and benefits of using MXNet and Gluon Important terms and APIs used in MXNet Convolutional neural networks (CNN) architecture Hands-on lab: Training a CNN on a CIFAR-10 dataset Module 4: ML and DL architectures on AWS AWS services for deploying DL models (AWS Lambda, AWS IoT Greengrass, Amazon ECS, AWS Elastic Beanstalk) Introduction to AWS AI services that are based on DL (Amazon Polly, Amazon Lex, Amazon Rekognition) Hands-on lab: Deploying a trained model for prediction on AWS Lambda Additional course details: Nexus Humans Deep Learning on AWS 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 Deep Learning on AWS 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 5 Days 30 CPD hours This course is intended for This course is designed for: IT Professionals in the BC/DR or system administration domain, business continuity and disaster recovery consultants, individuals wanting to establish themselves in the field of IT business, continuity and disaster recovery, IT risk managers and consultants, and CISOs and IT directors. Before taking this course, some experience in the IT BC/DR domain is recommended. More info can be found here: https://www.eccouncil.org/wp-content/uploads/2017/05/edrpv3-brochure.pdf Overview EC-Council Disaster Recovery Professional (EDRP) is a comprehensive professional course that teaches students how to develop enterprise-wide business continuity and disaster recovery plans. EDRP provides the professionals with a strong understanding of business continuity and disaster recovery principles, including conducting business impact analysis, assessing of risks, developing policies and procedures, and implementing a plan. EDRP teaches professionals how to secure data by putting policies and procedures in place, and how to recover and restore their organization's critical data in the aftermath of a disaster. EDRP provides the professionals with a strong understanding of business continuity and disaster recovery principles, including conducting business impact analysis, assessing of risks, developing policies and procedures, and implementing a plan. It also teaches professionals how to secure data by putting policies and procedures in place, and how to recover and restore their organization?s critical data in the aftermath of a disaster. The program is designed to provide much needed step-by-step guidance to attendees and then tests their knowledge through case studies. EDRPv3 addresses gaps in other BC/DR programs by providing helpful templates that are applied to BC/DR efforts in an enterprise. Course Outline Introduction to Disaster Recovery and Business Continuity Business Continuity Management (BCM) Risk Assessment Business Impact Analysis (BIA) Business Continuity Planning (BCP) Disaster Recovery Planning Process Data Backup Strategies Data Recovery Strategies Virtualization-Based Disaster Recovery System Recovery Centralized and Decentralized System Recovery BCP Testing, Maintenance, and Training Additional course details: Nexus Humans EC-Council Disaster Recovery Professional (EDRP) 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 EC-Council Disaster Recovery Professional (EDRP) 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 62.5 Days 375 CPD hours Cisco Learning Library: Data Center offers a subscription to Cisco online data center training, including certifications, products, and technologies.This comprehensive technical training library offers full-length, interactive certification courses, additional product and technology training with labs, and thousands of reference materials Data Center Library Certification Courses CCNP Data Center Implementing and Operating Cisco Data Center Core Technologies (DCCOR) v1.0 Designing Cisco Data Center Infrastructure (DCID) v7.0 Troubleshooting Cisco Data Center Infrastructure (DCIT) v7.0 Implementing Cisco Application Centric Infrastructure (DCACI) v1.0 Configuring Cisco MDS 9000 Series Switches (DCMDS) Implementing Automation for Cisco Data Center Solutions (DCAUI) CCIE Data Center Implementing and Operating Cisco Data Center Core Technologies (DCCOR) v1.0 Product and Technology Training Implementing and Operating Cisco Data Center Core Technologies (DCCOR) v1.0 Understanding Cisco Data Center Foundations (DCFNDU) v1.0 Implementing Cisco Application Centric Infrastructure (DCACI) v1.0 Introducing Cisco NX-OS Switches and Fabrics in the Data Center (DCINX) v1.0 Configuring Cisco NX-OS Switches and Fabrics in the Data Center (DCCNX) v1.0 Designing Cisco Data Center Infrastructure (DCID) v7.0 Troubleshooting Cisco Data Center Infrastructure (DCIT) v7.0 Implementing Cisco Application Centric Infrastructure?Advanced (DCACIA) v1.0 Introducing Cisco Unified Computing System (DCIUCS) v1.0 Configuring Cisco Unified Computing System (DCCUCS) v1.0 Implementing Cisco Tetration Analytics (DCITET) v1.0 Cisco MDS 9000 Series Switches Overview (DCMDSO) v1.0 Configuring Cisco Nexus 9000 in NX-OS Mode (C9KNX) v1.2 Configuring Cisco Nexus 9000 Series Switches in ACI Mode (DCAC9K) v3.0 Introducing Cisco Nexus 9000 Switches in NX-OS Mode (DCINX9K) v2.1 Configuring VXLANs on Cisco Nexus 9000 Series Switches (DCVX9K) v1.0 Cisco Application Centric Infrastructure Operations and Troubleshooting (DCACIO) v4.1 Configuring Cisco MDS 9000 Series Switches (DCMDS) v3.1 Introducing Cisco MDS 9000 Series Switches (DCIMDS) v1.0 Implementing Automation for Cisco Data Center Solutions (DCAUI) v1.0 Introducing Automation for Cisco Solutions (CSAU) v1.0 Implementing Cisco HyperFlex (DCIHX) v1.2 Configuring the Cisco Nexus Data Center Transport (CCNDC-T) v2.0 Configuring the Cisco Nexus Data Center Virtual Machines (CCNDC-V) v2.0 Additional course details: Nexus Humans Cisco Digital Learning Data Center 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 Digital Learning Data Center 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 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 The content is appropriate for test automation engineering roles, test manager roles, test lead roles, test architect roles, as well as developer roles. This course assumes you have a foundational understanding of testing and the purpose of automation. This course will be beneficial to anyone who is accountable for assessing, planning, designing, and implementing an integrated set of technology (testing infrastructure) that supports development, testing, and deployment. Overview Working in an interactive learning environment, led by our expert facilitator, attendees will learn to: Document the current state of test automation in your organization Define a custom test automation plan and architecture to fit their situation Create an initial implementation plan Identify initial key measures Develop a metrics dashboard for tracking the value of test automation Lay out a future strategy and roadmap to get there Introduction to Test Automation is a one-day, hands-on event designed to provide participants with the skills required to develop a custom test automation plan and architecture for their organization. Throughout the course, students will examine and work through various practical examples, learning how to create an integrated test automation plan and develop a test automation architecture. Participants will also learn about the possible real-world challenges they may face while trying to accomplish their goals, exploring the practical positive aspects of engaging their technical team, along with the possible frustrations of experiencing too much isolation between test automators and test designers. Getting Started Automation beginnings Software as a series of imperfect translations The Compelling Business Needs for Automation Automation the next opportunity Islands of Automation Getting products to market more quickly, at the right costs and quality Automation Challenges and Requirements Automation Challenges Test Automation Key Requirements Foundational material for your automation plan Templates Questions Examples Virtual Consulting included with this course Automation plan vision and strategy Vision, Strategy, Approach Example Defining your end in mind Deciding where to start Engaging Others Conducting a current state tools inventory Assessing your current state - tools and processes Tools inventory example and template Radar Chart as a means of presenting current state information Consider the best automation approach Waterfall vs. agile cycles of work Aligning tools with your methodologies Strategies for Automating The Test Automation Pyramid Developing your test automation architecture Blocks of automation capabilities Islands of Automation Integrated Tools Architecture Template Integrated Tools Architecture Examples Test automation architecture examples Examples of different test automation architectures and frameworks Selenium Key Test Automation Architecture Characteristics Acceptance test-driven and behavior-driven testing overview Test automation approaches FitNesse Cucumber Gherkin script overview Tool workflow Considerations for what to automate and when Categories of tests that might be automated We have many tool choices Key points in Test Tool Architecture Planning Piloting and Implementing automation Selecting and evaluating tools and rolling them out Selling Automation - qualitative questions Selling Automation - quantitative questions Measuring automation benefits Measures in technical terms Measures in business terms Measures of testing vs. measures of test automation Next Steps A few keys to success

Duration 2 Days 12 CPD hours This course is intended for This is an advanced course for DBAs and technical individuals who plan, implement, and maintain Db2 11.1 databases Overview This course is designed to teach you how to: Perform advanced monitoring using the Db2 administrative views and routines in SQL queries. Manage the disk space assigned in Database Managed Storage (DMS) and Automatic Storage table spaces, including the activities of the rebalancer. Use SQL queries and Db2 commands to check the high water mark on table spaces and to monitor the rebalance operation. Utilize the REBUILD option of RESTORE, which can build a database copy with a subset of the tablespaces using database or tablespace backup images. Plan and execute the TRANSPORT option of RESTORE to copy schemas of objects between two Db2 databases. Create incremental database or tablespace level backups to reduce backup processing and backup image storage requirements. Implement automatic storage management for table spaces and storage groups or enable automatic resize options for DMS managed table spaces to reduce administration requirements and complexity. Describe the various types of database memory including buffer pools, sort memory, lock memory and utility processing memory. Adjust database or Db2 instance configuration options to improve application performance or processing efficiency. Implement Db2 Self Tuning Memory management for specific database memory areas. This course is designed to teach you how to Perform advanced monitoring using the Db2 administrative views and routines in SQL queries. Manage the disk space assigned in Database Managed Storage (DMS) and Automatic Storage table spaces, including the activities of the rebalancer. Use SQL queries and Db2 commands to check the high water mark on table spaces and to monitor the rebalance operation. Utilize the REBUILD option of RESTORE, which can build a database copy with a subset of the tablespaces using database or tablespace backup images. Plan and execute the TRANSPORT option of RESTORE to copy schemas of objects between two Db2 databases. Create incremental database or tablespace level backups to reduce backup processing and backup image storage requirements. Implement automatic storage management for table spaces and storage groups or enable automatic resize options for DMS managed table spaces to reduce administration requirements and complexity. Describe the various types of database memory including buffer pools, sort memory, lock memory and utility processing memory. Adjust database or Db2 instance configuration options to improve application performance or processing efficiency. Implement Db2 Self Tuning Memory management for specific database memory areas. Course Outline Advanced Monitoring Db2 Table Space Management Db2 Database Memory Management Database rebuild supportDb2 database and tablespace relocation Db2 Incremental Backup Additional course details: Nexus Humans CL464G IBM Db2 11.1 Advanced Database Administration 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 CL464G IBM Db2 11.1 Advanced Database Administration 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 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.