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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 4 Days 24 CPD hours This course is intended for Primary target audiences for this training are developers and development consultants but also other roles involved with implementing or reviewing program code to optimize ABAP based applications for SAP HANA. This course will prepare students to develop and optimize ABAP applications that access data stored in the SAP HANA Database. Course Outline Technical concepts of SAP HANA Introduction to HANA Studio Introduction to ADT (ABAP Development Tools, also known as ABAP in Eclipse) Tools to detect potential functional and performance issues when migrating to SAP HANA: Code Inspector and ABAP Test Cockpit, ABAP Trace and ABAP Profiler, SQL Trace Tools to prioritize performance issues: SQL Monitor, SQL Performance Tuning Worklist Performance Rules and Guidelines for ABAP in the context of SAP HANA Optimizing ABAP by accessing SAP HANA as a Secondary Database Optimizing ABAP using SAP HANA as Primary Database Using SAP HANA Fuzzy Search in ABAP Enabling input fields for Type-Ahead search. SAP List Viewer (ALV) for SAP HANA Additional course details: Nexus Humans HA400 SAP ABAP Programming for SAP HANA 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 HA400 SAP ABAP Programming for SAP HANA 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 for consultants, project team members, and administrators who want to learn how to implement data provisioning and data transformation for their SAP HANA project. In this course, students will learn the essential techniques and tools of data provisioning and data transformation for SAP HANA. This course will help students identify the most effective data provisioning solutions for their SAP HANA project. Course Outline Trigger-based replication with SAP Landscape Transformation ETL based data provisioning using SAP Data Services Connecting SAP HANA to data sources using SAP HANA Smart Data Access Real-time data loading using Smart Data Streaming ETL based loading using Smart Data Integration and Smart Data Quality SAP HANA Direct Extractor Connection Fundamentals of SAP Replication Server Additional course details: Nexus Humans HA350 SAP HANA - Data Management 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 HA350 SAP HANA - Data Management 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 Support Consultant System Administrator Technology Consultant Overview The objective of this course is to enable students to use the one-step migration procedure (DMO - Database Migration Option) to SAP HANA autonomously. This course covers the most important tasks for an SAP HANA administrator for the combined update & migration of an SAP system to the SAP HANA database. Furthermore, it provides details about the procedure and technical details of the process. Getting Familiar with Database Migration Option (DMO) Listing DMO Benefits Explaining DMO Basics Preparing Database Migration Option (DMO) Procedure Ensuring DMO Prerequisites are Fulfilled on the Host Configuring SAP Host Agent for DMO Examining the SUM UI Configuration of Database Migration Option (DMO) Procedure Starting the DMO Run Continuing DMO with Roadmap Steps Configuration and Checks Continuing DMO with Roadmap Steps Preprocessing Listing DMO Procedure Steps Monitoring the Migration Resetting the DMO Procedure Tuning the DMO Downtime Listing the DMO Steps After Roadmap Step Preprocessing Explaining the DMO Release Schedule Listing Migration Options to SAP HANA

Duration 3 Days 18 CPD hours This course is intended for Networking and security professionals involved in the management, configuration, administration, and monitoring of FortiGate devices used to secure their organizations' networks. Overview Deploy the appropriate operation mode for your network. Use the GUI and CLI for administration. Identify the characteristics of the Fortinet security fabric. Control network access to configured networks using firewall policies. Apply port forwarding, source NAT, and destination NAT. Authenticate users using firewall policies. Understand encryption functions and certificates. Inspect SSL/TLS-secured traffic to prevent encryption used to bypass security policies. Configure security profiles to neutralize threats and misuse, including viruses, torrents, and inappropriate websites. Apply application control techniques to monitor and control network applications that might use standard or non-standard protocols and ports. Fight hacking and denial of service (DoS). Defend against data leaks by identifying files with sensitive data, and block them from leaving your private network. Offer an SSL VPN for secure access to your private network. Implement a dial-up IPsec VPN tunnel between FortiGate and FortiClient. Collect and interpret log entries. In this three-day course, you will learn how to use basic FortiGate features, including security profiles. Course Outline Module 1. Introduction to FortiGate and the Security Fabric Module 2. Firewall Policies Module 3. Network Address Translation (NAT) Module 4. Firewall Authentication Module 5. Logging and Monitoring Module 6. Certificate Operations Module 7. Web Filtering Module 8. Application Control Module 9. Antivirus Module 10. Intrusion Prevention and Denial of Service Module 11. SSL VPN Module 12. Dial-Up IPsec VPN Module 13. Data Leak Prevention (DLP)

Duration 3 Days 18 CPD hours This course is intended for This course is intended for network administrators, operators, and engineers responsible for managing the normal day-to-day operation and administration of BIG-IP Access Policy Manager Overview This course provides the skills to create and manage BIG-IP APM system. This course covers three typical deployment scenarios for BIG-IP Access Policy Manager (APM) and is broken into three individual lessons. In lesson one, you learn how to configure BIG-IP APM to provide Active Directory-based authentication for a load-balanced pool of web servers. In lesson two, you learn how to create a policy that provides an SSL VPN (Network Access) resource to users, but only when they log into BIG-IP APM using a corporate-issued PC. Finally, lesson three builds on the first two lessons to create a policy that provides a dynamic landing page with both SSL VPN as well as an OWA (Portal Access) resource, but only to users with special authorization. Setting Up the BIG-IP System Introducing the BIG-IP System Initially Setting Up the BIG-IP System Archiving the BIG-IP Configuration Leveraging F5 Support Resources and Tools Configuring Web Application Access Review of BIG-IP LTM Introduction to the Access Policy Web Access Application Configuration Overview Web Application Access Configuration in Detail Exploring the Access Policy Navigating the Access Policy Managing BIG-IP APM BIG-IP APM Sessions and Access Licenses Session Variables and sessiondump Session Cookies Access Policy General Purpose Agents List Using Authentication Introduction to Access Policy Authentication Active Directory AAA Server RADIUS One-Time Password Local User Database Understanding Assignment Agents List of Assignment Agents Configuring Portal Access Introduction to Portal Access Portal Access Configuration Overview Portal Access Configuration Portal Access in Action Configuring Network Access Concurrent User Licensing VPN Concepts Network Access Configuration Overview Network Access Configuration Network Access in Action Deploying Macros Access Policy Macros Configuring Macros An Access Policy is a Flowchart Access Policy Logon Agents Configuring Logon Agents Exploring Client-Side Checks Client-Side Endpoint Security Exploring Server-Side Checks Server-Side Endpoint Security Agents List Server-Side and Client-Side Checks Differences Using Authorization Active Directory Query Active Directory Nested Groups Configuration in Detail Configuring AppTunnels Application Access Remote Desktop Network Access Optimized Tunnels Landing Page Bookmarks Deploying Access Control Lists Introduction to Access Control Lists Configuration Overview Dynamic ACLs Portal Access ACLs Signing On with SSO Remote Desktop Single Sign-On Portal Access Single Sign-On Using iRules iRules Introduction Basic TCL Syntax iRules and Advanced Access Policy Rules Customizing BIG-IP APM Customization Overview BIG-IP Edge Client Advanced Edit Mode Customization Landing Page Sections Deploying SAML SAML Conceptual Overview SAML Configuration Overview Exploring Webtops and Wizards Webtops Wizards Using BIG-IP Edge Client BIG-IP Edge Client for Windows Installation BIG-IP Edge Client in Action Lesson Configuration Project Additional Training and Certification Getting Started Series Web-Based Training F5 Instructor Led Training Curriculum F5 Professional Certification Program F5 Instructor Led Training Curriculum F5 Professional Certification Program Additional course details: Nexus Humans F5 Configuring BIG-IP APM - Access Policy Manager v13.x 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 F5 Configuring BIG-IP APM - Access Policy Manager v13.x 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 The EXIN BCS Artificial Intelligence Foundation certification is focused on individuals with an interest in, (or need to implement) AI in an organization, especially those working in areas such as science, engineering, knowledge engineering, finance, education or IT services. Overview You will be able to Describe how Artificial (AI) is Part of 'Universal Design', and 'The Fourth Industrial Revolution' Demonstrate Understanding of the Artificial Intelligence (AI) Intelligen Agent Description Explain the Benefits of Artificial Intelligence (AI) Describe how we Learn from Data - Functionality, Software and Hardware Demonstrate an Understanding that Artificial Intelligence (AI) (in Particular, Machine Learning (ML)) will Drive Humans and Machines to Work Together Describe a ''Learning from Experience'' Agile Approach to Projects Candidates should be able to demonstrate a knowledge and understanding in the application of ethical and sustainable Artificial Intelligence (AI):- Human-centric Ethical and Sustainable Human and Artificial Intelligence (AI) Ethical and Sustainable Human and Artificial Intelligence (AI) Recall the General Definition of Human and Artificial Intelligence (AI) Describe what are Ethics and Trustworthy Artificial Intelligence (AI) Describe the Three Fundamental Areas of Sustainability and the United Nationïs Seventeen Sustainability Goals Describe how Artificial Intelligence (AI) is Part of 'Universal Design', and 'The Fourth Industrial Revolution' Understand that Machine Learning (ML) is a Significant Contribution to the Growth of Artificial Intelligence (AI) Artificial Intelligence (AI) and Robotics Demonstrate Understanding of the Artificial Intelligence (AI) Intelligent Agent Description Describe what a Robot is Describe what an intelligent Robot is Applying the Benefits of Artificial Intelligence (AI) ? Challenges and Risks Describe how Sustainability Relates to Human-Centric Ethical Artificial Intelligence (AI) and how our Values will Drive our use of Artificial Intelligence (AI) and will Change Humans, Society and Organizations Explain the Benefits of Artifical Intelligence (AI) Describe the Challenges of Artificial Intelligence (AI) Projects Demonstrate Understanding of the Risks of Artificial Intelligence (AI) Projects List Opportunities for Artificial Intelligence (AI) Identify a Typical Funding Source for Artificial Intelligence (AI) Projects and Relate to the NASA Technology Readiness Levels (TRLs) Starting Artificial Intelligence (AI): how to Build a Machine Learning (ML) Toolbox ? Theory and Practice Describe how we Learn from Data - Functionality, Software and Hardware Recall which Rypical, Narrow Artificial Intelligence (AI) Capability is Useful in Machine Learning (ML9 and Artificial Intelligence (AI) AgentsïFunctionality The Management, Roles and Responsibilities of Humans and Machines Demonstrate an Understanding that Artificial Intelligence (AI) (in Particular, Machine Learning (ML)) will Drive Humans and Machines to Work Together List Future Directions of Humans and Machines Working Together Describe a ''Learning from Experience'' Agile Approach to Projects

Duration 5 Days 30 CPD hours This course is intended for Application Consultants, Business Analysts, Program/Project Managers, System Architects Overview At the end of this course, students will be able to explain and use major features of SAP Extended Warehouse Management. This course will give you a solid fundamental and comprehensive overview of SAP Extended Warehouse Management and is a mandatory prerequisite for all other EWM courses. Warehousing Structures and Master Data Differentiating the SAP Solutions for Warehouse Management Outlining Organizational Structures Maintaining Master Data for SAP EWM Warehouse Monitoring & Processing with Mobile Devices Managing the Warehouse Outlining the Radio Frequency (RF) Framework Additional Functions in SAP EWM Applying Storage Control Employing Serial Numbers Processing Batches Mapping Quality Inspection Processes Applying Value-Added Services Warehouse Organization Performing Slotting Applying Replenishment Methods Performing a Physical Inventory Optimization of Resources Applying Wave Management Applying Labor Management Executing the Production Supply Process Executing Expected Goods Receipts Processes Applying Cross Docking Warehouse Extensions Planning the Shipping and Receiving of Products Controlling the Material Flow System (MFS) SAP EWM Rapid Deployment Solution Accelerating Implementation Processes Combined Inbound and Outbound Processes Executing an End-to-End Process with SAP EWM

Duration 2 Days 12 CPD hours This course is intended for This course is aimed at anyone currently working with data who is interested in using data visualisation to more effectively communicate their results. Overview At completion, delegates will understand how data visualisations can be best used to communicate actionable insights from data and be competent with the tools required to do it. Visualising data, and analytics results, is one of the most effective ways to achieve this. This course will cover the theory of data visualisation along with practical skills for creating compelling visualisations from data. Course Outline The use of analytics, statistics and data science in business has grown massively in recent years. Harnessing the power of data is opening actionable insights in diverse industries from banking to horse breeding. The companies doing this most successfully understand that using sophisticated analytics approaches to unlock insights from data is only half the job. Communicating these insights to all of the different parts of an organisation is just as important as doing the actual analysis. Visualising data, and analytics results, is one of the most effective ways to achieve this. This course will cover the theory of data visualisation along with practical skills for creating compelling visualisations from data. To attend this course delegates should be competent in the use of data analysis tools such as reporting tools, spreadsheet software or business intelligence tools. The course will explore the following topics through a series of interactive workshop sessions: Fundamentals of data visualisation Data characteristics & dimensions Mapping visual encodings to data dimensions Colour theory Graphical perception & communication Interaction design Visualisation different characteristics of data: trends, comparisons, correlations, maps, networks, hierarchies, text Designing effective dashboards

Duration 1 Days 6 CPD hours This course is intended for This course is intended for both organizations that would like to improve the corporate communications of their employees and individuals, who take the role of Project Managers, Business Analysts, Team Leaders, Scrum Masters, Product Owners, Managers, Employees, and anyone who would like to improve their communications skills both in the personal and professional aspects. Overview Upon successful completion of this course, students will learn: what effective communications are. why they are important. how by improving communications you will be able to improve the overall execution of projects and your results in general. the specifics of online remote teamwork communications. Your employees will be equipped with knowledge of different communication techniques and styles, which will save them time to adapt to the communication style of the interlocutor and allow them to have more effective conversations both with business partners and customers, and with colleagues at work. Also, they will master the art of active listening and thus win more customers and partners. This course can be adapted to the specific needs of your organization. This course represents highly effective training on developing communication skills and teaches students how to ask correct questions and get the most from one discussion. Also, students will learn how to resolve and/or avoid conflict situations. Course Outline What is the process of effective communications? How to ask good questions and reach clear agreements? Why is listening important and how to listen actively? How to give and receive feedback? How to prepare and conduct effective meetings? Each topic includes discussions and exercises.