32422 Courses delivered Online

Duration 2.75 Days 16.5 CPD hours This course is intended for This course is designed for a person with an understanding of project management concepts, as well as general desktop computer skills, and who will be responsible for creating and maintaining project plans. This course will give you the fundamental understanding as well as acquiring the advanced knowledge and skills needed to update a project plan in Microsoft Project during the execution, monitoring, and controlling phases of a project. Overview Identify project management concepts and navigate Microsoft 2. 2. Project Professional. Create a new project plan. Add tasks to a project. Manage task relationships within a project. Manage project resources. fnalize a project plan. Update a project plan. Generate project views to manage a project. Create project reports to share a project's status. Reuse project plan information. Work with multiple projects. This course will familiarize the user with the basic features and functions of MS Project so that it can be used effectively and efficiently in a real-world environment. MS project will give the ability to project managers to update a project plan in Project during the execution, monitoring, and controlling phases of a project GETTING STARTED WITH MICROSOFT PROJECT Topic A: Identify Project Management Concepts Topic B: Navigate in the Microsoft Project Desktop environment DEFINING A PROJECT Topic A: Create a New Project Plan File Topic B: Set Project Plan Options Topic C: Assign a Project Calendar ADDING PROJECT TASKS Topic A: Add Tasks to a Project Plan Topic B: Enter Task Duration Estimates MANAGING TASKS Topic A: Create a Work Breakdown Structure Topic B: Define Task Relationships Topic C: Schedule Tasks MANAGING PROJECT RESOURCES Topic A: Add Resources to a Project Topic B: Create a Resource Calendar Topic C: Enter Costs for Resources Topic D: Assign Resources to Tasks Topic E: Resolve Resource Conflicts FINALIZING A PROJECT PLAN Topic A: Optimize a Project Plan Topic B: Set a Baseline Topic C: Share a Project Plan UPDATING A PROJECT PLAN Topic A: Enter Task Progress Topic B: Enter Overtime Work Topic C: Edit Tasks Topic D: Update Cost Rate Tables Topic E: Update a Baseline VIEWING PROJECT PROGRESS Topic A: Use View Commands Topic B: Add a Custom Field Topic C: Create Custom Views Topic D: Format and Share the Timeline View REPORTING ON PROJECT PROGRESS Topic A: View Built-in Reports Topic B: Create Custom Reports Topic C: Create a Visual Report REUSING PROJECT PLAN INFORMATION Topic A: Create a Project Plan Template Topic B: Share Project Plan Elements with Other Plans WORKING WITH MULTIPLE PROJECTS Topic A: Share Resources Topic B: Link Project Plans Additional course details: Nexus Humans Microsoft Project 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 Microsoft Project 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 2 Days 12 CPD hours This course is intended for This course is designed for post-sales audiences and is aimed at channel partners, customer network engineers and administrators whose interest is focused around designing a scalable infrastructure with the FlexPod. Overview Upon completing this course, you will be able to meet these overall objectives: Describe the FlexPod data center solutions and architecture Identify FlexPod workload sizing and technical specifications Describe the FlexPod deployment and management strategies The goal of this course is to evaluate the FlexPod solution design process in regards to the contemporary data center challenges. The course provides a comprehensive understanding of the reconnaissance and analytics to assess computing solution performance characteristics and requirements. In addition this course will describe the hardware components of the FlexPod and the process for selecting proper hardware for a given set of requirements. FlexPod Data Center Solutions and Architecture Describe data center elements Identify data center business challenges Identify data center environmental challenges Identify data center technical challenges Describe the data center consolidation trend Describe the FlexPod solution Identify the benefits of FlexPod Describe FlexPod platforms Describe FlexPod validated and supported designs Identify the supported Cisco UCS components Identify the supported Cisco Nexus switch components Identify the supported NetApp storage components FlexPod Workload Sizing and Technical Specifications Describe FlexPod performance characteristics Describe server virtualization performance characteristics Describe desktop virtualization performance characteristics Describe reconnaissance and analysis tools Describe the process for deploying analysis tools Configure the Microsoft MAP Toolkit Identify FlexPod Design components Describe FlexPod Sizing considerations Employ Cisco UCS Application Sizer Employ Cisco UCS VXI Resource Comparison tool Describe NetApp Solution Builder Sizing tool FlexPod Deployment and Management Strategies Describe key FlexPod LAN features Describe key FlexPod SAN features Identify FlexPod server provisioning features List FlexPod high availability features Describe supported FlexPod SAN features Describe FlexPod virtual storage tiering features Identify Cisco FlexPod validated designs Identify FlexPod data center with VMware vSphere 5.1 Identify FlexPod data center with VMware vSphere 5.1 with Cisco Nexus 7000 Identify FlexPod data center with Microsoft Private Cloud Enterprise Design Guide Identify FlexPod Select with Cloudera's Distribution including Apache Hadoop (CDH) Identify FlexPod Cisco Nexus 7000 and NetApp MetroCluster for multisite deployment Identify data center operations and management challenges Describe FlexPod validated management solutions Describe Cisco UCS Director turnkey solutions Identify Cisco UCS Director management types Describe Cisco UCS Director automation Describe self-service provisioning and reporting Identify the customer challenges and goals Describe the workload analysis Describe the component selection process Review the selected component Analyze the solution Additional course details: Nexus Humans Cisco Designing the FlexPod Solution (FPDESIGN) 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 Designing the FlexPod Solution (FPDESIGN) 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.

Duration 5 Days 30 CPD hours This course is intended for This beginning DB2 basic course is for z/OS database administrators who need to acquire the basic skills required to administer a DB2 database in a z/OS environment. Overview Describe several services provided in a z/OS environmentExplain workloads in the batch environmentExplain workloads in the online environmentDescribe job roles in a z/OS environmentLog On to TSO/ENavigate TSO/E and ISPFUse TSO commandsSetup and utilize JCL (Job Control Language)Utilize SDSFDescribe the different types of data sets in a z/OS environmentAllocate data sets and list data set information and contentCreate and modify data set contentGive an overview of the DB2 9 environmentDescribe and utilize DB2 ObjectsDescribe and utilize several DB2 UtilitiesDescribe the DB2I (DB2 Interactive Facility) environmentUse SPUFI (SQL Processing Using File Input) to compose and execute SQLSetup and execute DB2 CommandsUnderstand DB2 LoggingDescribe DB2 program preparation processUnderstand DB2 startup and shutdownUnderstand and utilize DB2 recovery strategies This course is intended for students looking to develop fundamental skills or recognition through lectures and hands-on exercises of TSO/E and ISPF, data sets, DB2 objects, Structured Query Language, DB2 commands, JCL and SDSF. Day 1 Welcome Unit 1: Introduction Unit 2: TSO/E and ISPF Exercise 1: TSO and ISPF Exercise 1 Review Unit 3: Data Sets (Data Sets and Sequential Data Sets) Exercise 2: Sequential Data Sets Exercise 2 Review Day 2 Unit 3: Data Sets (Partitioned Data Sets) Exercise 3: Partitioned Data Sets Exercise 3 Review Unit 3: Data Sets (VSAM Data Sets) Exercise 4: VSAM Data Sets Exercise 4 Review Unit 4: JCL and SDSF Exercise 5: JCL and SDSF Exercise 5 Review Day 3 Unit 5: DB2 Relational Database Concepts Unit 6: Structured Query Language (SQL) and SPUFI Exercise 6: SQL and SPUFI Exercise 6 Review Unit 7: DB2 Objects (Databases and Table Spaces) Exercise 7: Databases and Table Spaces Exercise 7 Review Unit 7: DB2 Objects (Tables, Indexes, and Views) Exercise 8: Tables, Indexes, and Views Exercise 8 Review Day 4 Unit 7: DB2 Objects (Qualified Names, Implicit Object Creation, and SQL Statements) Exercise 9: Qualified Names, Implicit Object Creation, and SQL Statements Exercise 9 Review Unit 8: The DB2 System Exercise 10: The DB2 System Exercise 10 Review Unit 9: DB2 Commands and Program Preparation Exercise 11: DB2 Commands Exercise 11 Review Day 5 Unit 10: DB2 Utilities Exercise 12: DB2 Utilities Exercise 12 Review Unit 11: DB2 Shutdown, Startup, and Recovery Exercise 13: DB2 Recovery Exercise 13 Review Unit 12: Course Summary Additional course details: Nexus Humans CV041 IBM z/OS and DB2 Basics for DB2 for z/OS DBA Beginners 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 CV041 IBM z/OS and DB2 Basics for DB2 for z/OS DBA Beginners 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 geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brandnew version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative dversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions

Duration 4 Days 24 CPD hours This course is intended for This course is intended for: Developers Solutions Architects Data Engineers Anyone with little to no experience with ML and wants to learn about the ML pipeline using Amazon SageMaker Overview In this course, you will learn to: Select and justify the appropriate ML approach for a given business problem Use the ML pipeline to solve a specific business problem Train, evaluate, deploy, and tune an ML model using Amazon SageMaker Describe some of the best practices for designing scalable, cost-optimized, and secure ML pipelines in AWS Apply machine learning to a real-life business problem after the course is complete This course explores how to use the machine learning (ML) pipeline to solve a real business problem in a project-based learning environment. Students will learn about each phase of the pipeline from instructor presentations and demonstrations and then apply that knowledge to complete a project solving one of three business problems: fraud detection, recommendation engines, or flight delays. By the end of the course, students will have successfully built, trained, evaluated, tuned, and deployed an ML model using Amazon SageMaker that solves their selected business problem. Module 0: Introduction Pre-assessment Module 1: Introduction to Machine Learning and the ML Pipeline Overview of machine learning, including use cases, types of machine learning, and key concepts Overview of the ML pipeline Introduction to course projects and approach Module 2: Introduction to Amazon SageMaker Introduction to Amazon SageMaker Demo: Amazon SageMaker and Jupyter notebooks Hands-on: Amazon SageMaker and Jupyter notebooks Module 3: Problem Formulation Overview of problem formulation and deciding if ML is the right solution Converting a business problem into an ML problem Demo: Amazon SageMaker Ground Truth Hands-on: Amazon SageMaker Ground Truth Practice problem formulation Formulate problems for projects Module 4: Preprocessing Overview of data collection and integration, and techniques for data preprocessing and visualization Practice preprocessing Preprocess project data Class discussion about projects Module 5: Model Training Choosing the right algorithm Formatting and splitting your data for training Loss functions and gradient descent for improving your model Demo: Create a training job in Amazon SageMaker Module 6: Model Evaluation How to evaluate classification models How to evaluate regression models Practice model training and evaluation Train and evaluate project models Initial project presentations Module 7: Feature Engineering and Model Tuning Feature extraction, selection, creation, and transformation Hyperparameter tuning Demo: SageMaker hyperparameter optimization Practice feature engineering and model tuning Apply feature engineering and model tuning to projects Final project presentations Module 8: Deployment How to deploy, inference, and monitor your model on Amazon SageMaker Deploying ML at the edge Demo: Creating an Amazon SageMaker endpoint Post-assessment Course wrap-up Additional course details: Nexus Humans The Machine Learning Pipeline 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 The Machine Learning Pipeline 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 primarily for professionals in the following job roles: Collaboration engineers Collaboration administrators Overview After taking this course, you should be able to: Configure Cisco Unity Connection integration Configure and troubleshoot Cisco Unity Connection and Cisco Unity Connection call handlers Configure and troubleshoot Cisco Unity Express Describe SSO for Cisco Unified Communications applications Describe how Cisco Jabber and Cisco Unified Communications Manager IM and Presence are integrated with other Cisco or third-party applications Customize the Cisco Unified Communications Manager IM and Presence and Cisco Jabber functionality Configure and troubleshoot chat rooms and message archiving Troubleshoot Cisco Jabber and Cisco Unified Communications Manager IM and Presence Integrate Cisco Unified Attendant Console Advanced with Cisco Unified Communications Manager and Cisco Unified Communications Manager IM and Presence server Configure call recording and monitoring This course provides you with the knowledge and skills to streamline communication procedures, strengthen compliance measures, and enhance your communication systems and devices with knowledge about Single Sign-On (SSO), Cisco© Unified IM and Presence, Cisco Unity© Connection and Cisco Unity Express. This course will prepare you for certification exam 300-810 Implementing Cisco Collaboration Applications (CLICA). Course Outline Configuring and Troubleshooting Cisco Unity Connection Integration Configuring and Troubleshooting Cisco Unity Connection Call Handlers Troubleshooting Cisco Unity Connection Configuring and Troubleshooting Cisco Unity Express Configuring Single Sign-On (SSO) for Cisco Unified Communications Applications Integrating Cisco Unified Communications Manager IM and Presence and Cisco Jabber Customizing Cisco Unified Communications Manager IM and Presence and Cisco Jabber Functionality Configuring Cisco Unified Communications Manager IM and Presence Service Compliance and Message Archiving Troubleshooting Cisco Unified Communications Manager IM and Presence Service Integrating Cisco Unified Attendant Console Advanced Implementing Call Recording and Monitoring Lab outline Integrate and Set Up Cisco Unity Connection Configure Cisco Unity Connection Call Handlers Implement Toll Fraud Prevention Troubleshoot Cisco Unity Connection Call Handlers Troubleshoot Cisco Unity Connection Configure Cisco Unity Express Troubleshoot Cisco Unity Express Configure Cisco Unified Communications Manager IM and Presence High Availability Implement Cisco Jabber Configure Centralized Cisco Unified Communications Manager IM and Presence Configure Cisco Unified Communications Manager IM and Presence Service Functionality Enable Message Archiving and Chat Rooms Troubleshoot the Cisco Unified Communications IM and Presence Database Connection Troubleshoot Cisco Unified Communications Manager IM and Presence High Availability Troubleshoot Cisco Unified Communications Manager IM and Presence Service Integrate Cisco Unified Attendant Console Advanced Implement Call Recording and Monitoring Using a Switched Port Analyzer (SPAN)-based Solution Implement Cisco Unified Communications Manager Call Recording and Monitoring Additional course details: Nexus Humans Cisco Implementing Cisco Collaboration Applications v1.0 (CLICA) 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 Implementing Cisco Collaboration Applications v1.0 (CLICA) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 4 Days 24 CPD hours This course is intended for This course is geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brand-new version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative adversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts. Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm ? YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions

Duration 2 Days 12 CPD hours This course is intended for Experienced system administrators, system integrators, and developers responsible for designing and implementing vRealize Log Insight Overview By the end of the course, you should be able to meet the following objectives: Identify features and benefits of vRealize Log Insight Determine the vRealize Log Insight cluster that meets your monitoring requirements Describe the vRealize Log Insight architecture and use cases Deploy and configure a vRealize Log Insight cluster Use the Interactive Analytics tab to get a deep understanding of log data Create and manage queries Managing vRealize Agents and Agent Groups Create various custom dashboards Describe and use the vRealize Log Insight widgets Extend the capabilities of vRealize Log Insight by adding content packs and configuring solutions This two-day course focuses on deploying, using, and managing VMware vRealize© Log Insight? product. It provides you with the knowledge and skills to deploy a vRealize Log Insight cluster that meets the monitoring requirements of your environment. This course covers the configuration and use of vRealize Log Insight to collect and manage logs from a variety of VMware and third-party products. This course discusses interfacing vRealize Log Insight with other systems to monitor, troubleshoot, and secure a data center. Course Introduction Introductions and course logistics Course objectives Introduction to vRealize Log Insight Describe a cloud management platform Explain the importance of efficient log management Describe the requirements for a log analytics solution Describe the key benefits of vRealize Log Insight Describe the key features of vRealize Log Insight Describe the various stages of log processing vRealize Log Insight Architecture and Deployment Identify the minimum requirements for deploying vRealize Log Insight Using vRealize Log Insight Sizing Calculator Describe vRealize Log Insight compatibility with other VMware products Describe the vRealize Log Insight architecture Determine the correct vRealize Log Insight deployment for an environment Install the vRealize Log Insight virtual appliance vRealize Log Insight Queries and Dashboards Describe the primary functions of the vRealize Log Insight UI Use the Interactive Analytics tab to get a deep understanding of log data Create and Manage queries Create vRealize Log Insight custom dashboards Describe and use the vRealize Log Insight widgets Administering vRealize Log Insight Describe User Access Control in vRealize Log Insight Describe User Management Access the vRealize Log Insight Administration page Configure vRealize Log Insight settings Manage certificates Configure system notifications Upgrade vRealize Log Insight Describe the vRealize Log Insight Importer vRealize Log Insight Integrations Describe how to integrate vRealize Operations with vRealize Log Insight Describe the advantages of integrating vRealize Operations with vRealize Log Insight Describe the advantages of using the vSAN content pack Install NSX content packs Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware vRealize Log Insight: Deploy and Manage [V8.4] 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 VMware vRealize Log Insight: Deploy and Manage [V8.4] 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 students looking to establish a foundational understanding of Access, including the skills necessary to create a new database, construct data tables, design forms and reports, and create queries. Overview In this course, you will create and manage an Access database. You will: Navigate within the Access application environment, create a simple database, and customize Access configuration options. Organize and manage data stored within Access tables. Use queries to join, sort, and filter data from different tables. Use forms to make it easier to view, access, and input data. Create and format custom reports. Data is everywhere. Most job roles today involve some form of data management. Virtually everyone is affected in some way by the need to manage data. A relational database application such as Microsoft© Access© can help you and your organization with this task. This course is the first part of a three-course series that covers the skills needed to perform database design and development in Access. Microsoft© Access© for Office 365?: Part 1 (this course): Focuses on the design and construction of an Access database?viewing, navigating, searching, and entering data in a database, as well as basic relational database design and creating simple tables, queries, forms, and reports. Microsoft© Access© for Office 365?: Part 2 : Focuses on optimization of an Access database, including optimizing performance and normalizing data, data validation, usability, and advanced queries, forms, and reports. Microsoft© Access© for Office 365?: Part 3 : Focuses on managing the database and supporting complex database designs, including import and export of data, using action queries to manage data, creating complex forms and reports, macros and VBA, and tools and strategies to manage, distribute, and secure a database. This course may be a useful component in your preparation for the Microsoft Access Expert (Microsoft 365 Apps and Office 2019): Exam MO-500 certification exam. Lesson 1: Working with an Access Database Topic A: Launch Access and Open a Database Topic B: Use Tables to Store Data Topic C: Use Queries to Combine, Find, Filter, and Sort Data Topic D: Use Forms to View, Add, and Update Data Topic E: Use Reports to Present Data Topic F: Get Help and Configure Options in Access Lesson 2: Creating Tables Topic A: Plan an Access Database Topic B: Start a New Access Database Topic C: Create a New Table Topic D: Establish Table Relationships Lesson 3: Creating Queries Topic A: Create Basic Queries Topic B: Add Calculated Columns in a Query Topic C: Sort and Filter Data in a Query Lesson 4: Creating Forms Topic A: Start a New Form Topic B: Enhance a Form Lesson 5: Creating Reports Topic A: Start a New Report Topic B: Enhance Report Layout Additional course details: Nexus Humans Microsoft Access for Office 365: Part 1 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 Microsoft Access for Office 365: Part 1 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.