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Duration 1 Days 6 CPD hours This course is intended for This course is intended for people in a variety of roles and fields who have a basic understanding of Microsoft 365 and want to incorporate digital note taking and note collaboration by using Microsoft OneNote. Overview In this course, you will develop note-taking skills by creating, modifying, and managing OneNote notebooks that work with other Microsoft 365 applications. You will: Navigate and customize the OneNote environment and create your first notebook. Add and format various types of notes and note elements, including text, links, and drawing objects. Add images, video, audio, Excel spreadsheets, and other types of files to a notebook. Organize, categorize, and search notebook content. Finalize notebook content by checking spelling, printing copies, and password-protecting notebooks. Manage notebooks by exporting content and working with history and backups. Share notebooks using Outlook and collaborate with colleagues using OneDrive. In our fast-paced digital world, the need to capture ideas, meeting notes, and to-do items is ever present. Microsoft's OneNote app provides a way for you to efficiently create and collect your notes in an electronic notebook. This course will help you use OneNote notebooks to store a wide variety of content in an organized structure, access the content from anywhere, and also share it with others. Additionally, learning how OneNote and other applications in the Microsoft 365 suite are integrated will increase your productivity. Lesson 1: Getting Started with OneNote Topic A: Navigate the OneNote Environment Topic B: Create Notebook Pages from Page Templates Topic C: Customize the OneNote User Interface Lesson 2: Adding and Formatting Notebook Content Topic A: Format Notebook Content Topic B: Add Quick Notes and Linked Notes to a Notebook Topic C: Use Drawing Tools in a Notebook Topic D: Use Dictation in a Notebook Lesson 3: Adding Files to Notebooks Topic A: Insert Images, Video, and Audio into a Notebook Topic B: Embed Excel Spreadsheets in a Notebook Topic C: Attach Other File Types to a Notebook Lesson 4: Organizing Notebook Content Topic A: Use Tags to Categorize Notes Topic B: Organize and Search Notebooks Lesson 5: Finalizing Notebooks Topic A: Proof and Print a Notebook Topic B: Configure Password Protection and Notebook Properties Lesson 6: Managing Notebooks Topic A: Export Content from a Notebook Topic B: Manage Notebook History Lesson 7: Sharing OneNote Content Topic A: Send Notebook Pages to Others Topic B: Work with Integrated Outlook Features Topic C: Collaborate on Notebooks Additional course details: Nexus Humans Microsoft OneNote (Desktop App) 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 OneNote (Desktop App) 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 The primary audience for this course is as follows: System installers System integrators System administrators Network administrators Solutions designers Overview Upon completing this course, the learner will be able to meet these overall objectives: Describe the system architecture of Cisco WAN Automation Engine and Cisco WAE network abstraction Plan and deploy Cisco WAE Planning components, including Collector, WAE Design, and WAE Live Plan and deploy Cisco WAE Automation and explain the basics of Cisco WAE APIs Explain how to deploy changes to the network using Cisco WAE and XR Traffic Controller (XTC) Explain how to use the Cisco WAE Design application to solve problems and achieve business goals WAE200, Operating and Implementing Cisco WAN Automation Engine v3.0 is a 5-day course that gives you the basic knowledge necessary to plan, deploy, configure, and maintain the Cisco© WAN Automation Engine (WAE) solution. Extensive hands-on labs help you gain the necessary skills to install and maintain Cisco WAE systems.This course will help you:Learn to install Cisco WAN Automation EngineGain confidence with WAE configuration and basic troubleshootingPractice designing and managing bandwidth and traffic engineering WAE Solution and Architecture Overview Examining WAE Examining WAE Architecture and Design Examining WAE Applications and Use Cases WAE Solution Implementation Planning a WAE Deployment Deploying WAE Describing WAE Integration Options Network Model Configuration Describing the Collection Process Describing Network Interface Modules Creating Network Models Configuring WAE Modeling Daemon WAE Automation Bandwidth Applications Deploying Bandwidth on Demand Application Deploying Bandwidth Optimization Application WAE Design Fundamentals Getting Started with WAE Design Describing Demands and Traffic Tools Modeling Interior Gateway Protocol (IGP) and BGP Describing Failures and Simulation Analysis WAE Design Traffic Engineering and Optimization Engineering Traffic by Using Metrics Engineering Traffic by Using Resource Reservation Protocol with Traffic Engineering (RSVP-TE) Engineering Traffic by Using Segment Routing-Traffic Engineering (SR-TE) Engineering Traffic by Using Latency Constraints Modeling Quality of Service (QoS) Introduction to WAE API Introducing WAE Design Remote Procedure Call (RPC) API Introducing WAE Optimization and Prediction Module (OPM) API Introducing WAE Server Representational State Transfer Configuration Protocol (RESTCONF) and Network Configuration Protocol (NETCONF) APIs WAE Live Deployment Describing the Components of WAE Live Configuring WAE Live Explaining WAE Live Features Maintenance and Troubleshooting Maintaining WAE Troubleshooting WAE Additional course details: Nexus Humans Cisco Operating and Implementing Cisco WAN Automation Engine (WAE200) 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 Operating and Implementing Cisco WAN Automation Engine (WAE200) 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.

  The CIPT is the first and only certification of its kind worldwide. It was launched by the IAPP in 2014 and updated in early 2023 to meet the growing need that only tech pros can fill-securing data privacy at all stages of IT product and service lifecycles.  Whether you work in the public or private sector, data privacy skills are quickly becoming a must-have-and that's a great opportunity for you.  The CIPT certification also holds accreditation under ISO 17024: 2012 About This Course   What will you learn?   Critical data protection concepts and practices that impact IT Consumer data protection expectations and responsibility How to bake privacy into early stages of IT products and services for cost control, accuracy and speed-to-market How to establish data protection practices for data collection and transfer How to pre-empt data protection issues in the Internet of Things How to factor data protection into data classification and emerging tech such as cloud computing, facial recognition and surveillance How to communicate data protection issues with partners such as management, development, marketing and legal.   This course has two programmatic modules, the first four areas focus on the fundamentals of data protection. The second module takes the fundamentals and puts it into practice.   MODULE 1: Fundamentals of Information Privacy   Unit 1: Common Principles and Approaches to Privacy This unit includes a brief discussion of the modern history of privacy, an introduction to types of information, an overview of information risk management and a summary of modern privacy principles.   Unit 2: Jurisdiction and Industries This unit introduces the major privacy models employed around the globe and provides an overview of privacy and data protection regulation by jurisdictions and industry sectors.   Unit 3: Information Security: Safeguarding Personal Information This unit presents introductions to information security, including definitions, elements, standards and threats/vulnerabilities, as well as introductions to information security management and governance, including frameworks, controls, cryptography and identity and access management (IAM).   Unit 4: Online Privacy: Using Personal Information on Websites and with Other Internet-related Technologies This unit examines the web as a platform, as well as privacy considerations for sensitive online information, including policies and notices, access, security, authentication and data collection. Additional topics include children's online privacy, email, searches, online marketing and advertising, social media, online assurance, cloud computing and mobile devices.    MODULE 2: Privacy in Technology   Unit 1: Understanding the Need for Privacy in the IT Environment This unit highlights the impact that regulatory activities, security threats, advances in technology and the increasing proliferation of social networks have on IT departments.   Unit 2: Core Privacy Concepts This unit reveals how privacy compliance becomes more attainable through developing information lifecycle plans, data identification and classification systems and data flow diagrams.   Unit 3: Regulations and Standards Impacting Privacy in IT This unit introduces privacy laws, regulations and standards that can help IT professionals design better privacy programmes and systems to handle personal information throughout the data lifecycle.   Unit 4: Privacy in Systems and Applications This unit develops an understanding of the risks inherent in the IT environment and how to address them.   Unit 5: Online Privacy Issues This unit presents information about online threats, threat prevention and the role of IT professionals in ensuring proper handling of user data.   Unit 6: De-identifying and Anonymizing Personally Identifiable Information This unit reveals the importance of personally identifiable information and methods for ensuring its protection.   Unit 7: Cloud Computing This unit evaluates privacy and security concerns associated with cloud services, and standards that exist to advise on their use. Prerequisites   There are no prerequisites for this course but attendees would benefit from a review of the materials on the IAPP site. What's Included?   1 years membership of the IAPP  Refreshments & Lunch (Classroom courses only) Participant Guide Official Study Guides Official Practice Exam Official Q&A The Exam Fees Who Should Attend?   The CIPT credential shows you've got the knowledge to build your organisation's data protection structures from the ground up. With regulators worldwide calling for tech professionals to factor data protection into their products and services, the job market for privacy-trained IT pros has never been stronger. As a result, the CIPT is targeted towards; Data Protection Officers IT Managers and Administrators Records Managers System Developers IT Security specialists Accreditation Our Guarantee   We are an approved IAPP Training Partner. You can learn wherever and whenever you want with our robust classroom and interactive online training courses. Our courses are taught by qualified practitioners with a minimum of 25 years commercial experience. We strive to give our delegates the hands-on experience. Our courses are all-inclusive with no hidden extras.  The one-off cost covers the training, all course materials, and exam voucher. Our aim: To achieve a 100% first time pass rate on all our instructor-led courses. Our Promise: Pass first time or 'train' again for FREE. *FREE training offered for retakes - come back within a year and only pay for the exam.

Duration 2 Days 12 CPD hours This course is intended for Applications consultants, business analysts, business process owners, developer consultants, help desk consultants, project managers, and technology consultants. Overview This course will prepare you to: Give an overview of the S/4HANA embedded analytics architecture Explain the analytical offerings per user type Give an Introduction to SAP Best Practices for Analytics with SAP S/4HANA Explain the integration scenarios with SAP Business Warehouse In this course, students will gain an overview of the S/4HANA embedded analytics real-time operational reporting, its offerings per user type for the S/4HANA 610 and its integration with SAP Business Warehouse. Module 1 S/4HANA and S/4HANA embedded analytics introduction Module 2 S/4HANA embedded analytics architecture overview Module 3 Analytical Consumption Module 4 SAP Best Practices for Analytics with SAP S/4HANA Module 5 SAP Business Warehouse Integration Scenarios

Duration 5 Days 30 CPD hours This course is intended for This introductory-level Python course is geared for experienced web developers new to Python who want to use Python and Django for full stack web development projects. Overview Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Develop full-stack web sites based on content stored in an RDMS Use python data types appropriately Define data models Understand the architecture of a Django-based web site Create Django templates for easy-to-modify views Map views to URLs Take advantage of the built-in Admin interface Provide HTML form processing Geared for experienced web developers new to Python, Introduction to Full Stack Web Development with Python and Django is a five-day hands-on course that teaches students how to develop Web applications using the Django framework. Students will explore the basics of creating basic applications using the MVC (model-view-controller) design pattern, as well as more advanced topics such as administration, session management, authentication, and automated testing. This comprehensive, practical course provides an in-depth exploration of working with the programming language, not an academic overview of syntax and grammar. Students will immediately be able to use Python to complete tasks in the real world. The Python Environment Starting Python Using the interpreter Running a Python script Getting help Editors and IDEs Getting Started Using variables Built in functions Strings Numbers Converting among types Writing to the screen Command line parameters Flow Control About flow control Conditional expressions Relational and Boolean operators while loops Lists and Tuples About sequences Lists and list methods Tuples Indexing and slicing Iterating through a sequence Sequence functions, keywords, and operators List comprehensions Working with Files File overview The with statement Opening a file Reading/writing files Dictionaries and Sets About dictionaries Creating and using dictionaries About sets Creating and using sets Functions Returning values Function parameters Variable Scope Sorting with functions Errors and Exception Handling Exception overview Using try/catch/else/finally Handling multiple exceptions Ignoring exceptions Modules and Packages Creating Modules The import statement Module search path Creating packages Classes About OO programming Defining classes Constructors Properties Instance methods and data Class/static methods and data Inheritance Django Architecture Django overview Sites and apps Shared configuration Minimal Django layout Built in flexibility Configuring a Project Executing manage.py Starting the project Generating app files App configuration Database setup The development server Using cookiecutter Creating models Defining models Related objects SQL Migration Simplel model access Login for Nothing and Admin for Free Setting up the admin user Using the admin interface Views What is a view HttpResponse URL route configuration Shortcut: get_object_or_404() Class-based views Templates About templates Variable lookups The url tag Shortcut: render() Querying Models QuerySets Field lookups Chaining filters Slicing QuerySets Related fields Q objects Advanced Templates Use Comments Inheritance Filters Escaping HTML Custom filters Forms Forms overview GET and POST The Form class Processing the form Widgets Validation Forms in templates Automated Testing Why create tests? When to create tests Using Django's test framework Using the test client Running tests Checking code coverage

Duration 3 Days 18 CPD hours This course is intended for This course is geared for experienced Scala developers who are new to the world of machine learning and are eager to expand their skillset. Professionals such as data engineers, data scientists, and software engineers who want to harness the power of machine learning in their Scala-based projects will greatly benefit from attending. Additionally, team leads and technical managers who oversee Scala development projects and want to integrate machine learning capabilities into their workflows can gain valuable insights from this course Overview Working in a hands-on learning environment led by our expert instructor you'll: Grasp the fundamentals of machine learning and its various categories, empowering you to make informed decisions about which techniques to apply in different situations. Master the use of Scala-specific tools and libraries, such as Breeze, Saddle, and DeepLearning.scala, allowing you to efficiently process, analyze, and visualize data for machine learning projects. Develop a strong understanding of supervised and unsupervised learning algorithms, enabling you to confidently choose the right approach for your data and effectively build predictive models Gain hands-on experience with neural networks and deep learning, equipping you with the know-how to create advanced applications in areas like natural language processing and image recognition. Explore the world of generative AI and learn how to utilize GPT-Scala for creative text generation tasks, broadening your skill set and making you a more versatile developer. Conquer the realm of scalable machine learning with Scala, learning the secrets to tackling large-scale data processing and analysis challenges with ease. Sharpen your skills in model evaluation, validation, and optimization, ensuring that your machine learning models perform reliably and effectively in any situation. Machine Learning Essentials for Scala Developers is a three-day course designed to provide a solid introduction to the world of machine learning using the Scala language. Throughout the hands-on course, you?ll explore a range of machine learning algorithms and techniques, from supervised and unsupervised learning to neural networks and deep learning, all specifically crafted for Scala developers. Our expert trainer will guide you through real-world, focused hands-on labs designed to help you apply the knowledge you gain in real-world scenarios, giving you the confidence to tackle machine learning challenges in your own projects. You'll dive into innovative tools and libraries such as Breeze, Saddle, DeepLearning.scala, GPT-Scala (and Generative AI with Scala), and TensorFlow-Scala. These cutting-edge resources will enable you to build and deploy machine learning models for a wide range of projects, including data analysis, natural language processing, image recognition and more. Upon completing this course, you'll have the skills required to tackle complex projects and confidently develop intelligent applications. You?ll be able to drive business outcomes, optimize processes, and contribute to innovative projects that leverage the power of data-driven insights and predictions. Introduction to Machine Learning and Scala Learning Outcome: Understand the fundamentals of machine learning and Scala's role in this domain. What is Machine Learning? Machine Learning with Scala: Advantages and Use Cases Supervised Learning in Scala Learn the basics of supervised learning and how to apply it using Scala. Supervised Learning: Regression and Classification Linear Regression in Scala Logistic Regression in Scala Unsupervised Learning in Scala Understand unsupervised learning and how to apply it using Scala. Unsupervised Learning:Clustering and Dimensionality Reduction K-means Clustering in Scala Principal Component Analysis in Scala Neural Networks and Deep Learning in Scala Learning Outcome: Learn the basics of neural networks and deep learning with a focus on implementing them in Scala. Introduction to Neural Networks Feedforward Neural Networks in Scala Deep Learning and Convolutional Neural Networks Introduction to Generative AI and GPT in Scala Gain a basic understanding of generative AI and GPT, and how to utilize GPT-Scala for natural language tasks. Generative AI: Overview and Use Cases Introduction to GPT (Generative Pre-trained Transformer) GPT-Scala: A Library for GPT in Scala Reinforcement Learning in Scala Understand the basics of reinforcement learning and its implementation in Scala. Introduction to Reinforcement Learning Q-learning and Value Iteration Reinforcement Learning with Scala Time Series Analysis using Scala Learn time series analysis techniques and how to apply them in Scala. Introduction to Time Series Analysis Autoregressive Integrated Moving Average (ARIMA) Models Time Series Analysis in Scala Natural Language Processing (NLP) with Scala Gain an understanding of natural language processing techniques and their application in Scala. Introduction to NLP: Techniques and Applications Text Processing and Feature Extraction NLP Libraries and Tools for Scala Image Processing and Computer Vision with Scala Learn image processing techniques and computer vision concepts with a focus on implementing them in Scala. Introduction to Image Processing and Computer Vision Feature Extraction and Image Classification Image Processing Libraries for Scala Model Evaluation and Validation Understand the importance of model evaluation and validation, and how to apply these concepts using Scala. Model Evaluation Metrics Cross-Validation Techniques Model Selection and Tuning in Scala Scalable Machine Learning with Scala Learn how to handle large-scale machine learning problems using Scala. Challenges of Large-Scale Machine Learning Data Partitioning and Parallelization Distributed Machine Learning with Scala Machine Learning Deployment and Production Understand the process of deploying machine learning models into production using Scala. Deployment Challenges and Best Practices Model Serialization and Deserialization Monitoring and Updating Models in Production Ensemble Learning Techniques in Scala Discover ensemble learning techniques and their implementation in Scala. Introduction to Ensemble Learning Bagging and Boosting Techniques Implementing Ensemble Models in Scala Feature Engineering for Machine Learning in Scala Learn advanced feature engineering techniques to improve machine learning model performance in Scala. Importance of Feature Engineering in Machine Learning Feature Scaling and Normalization Techniques Handling Missing Data and Categorical Features Advanced Optimization Techniques for Machine Learning Understand advanced optimization techniques for machine learning models and their application in Scala. Gradient Descent and Variants Regularization Techniques (L1 and L2) Hyperparameter Tuning Strategies

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: IT/Senior managers Solutions architects/Enterprise architects Operations professionals Overview This course teaches you how to: Build your cloud strategy. Develop the hiring plan for your cloud team. Choose and prioritize which applications to move to AWS. Build a migration plan for moving workloads to AWS. Manage your AWS expenditures and internal chargebacks. This course teaches you how to select the right strategy, people, migration plan, and financial management methodology needed when moving your workloads to the cloud. This course provides guidance on how to build a holistic cloud adoption plan and how to hire people who will execute that plan. You will learn best practices for choosing workloads to migrate from your on-premises environment to AWS. In addition, you will also learn best practices for managing your AWS expenses and dealing with internal chargebacks. Building Your Cloud StrategyHiring Your Cloud TeamMigration PlanningCloud Expenditure Management

Duration 3 Days 18 CPD hours This course is intended for Information System Owners Analysts Ethical Hackers ISSOs Cyber Security Managers IT Engineers Overview Upon completion, the Certified Vulnerability Assessor candidate will be able to competently take the exam. This course provides a solid understanding of the tools an IT engineer needs to review an Information System. In this course, you will learn the importance of vulnerability assessments and how they are used to prevent serious cyber break-ins. Lessons include understanding malware and viruses and how they can infiltrate an organization?s network. After you take this course, you will be able to assess a company?s security posture and perform a basic vulnerability test.ÿPlus, you will be able to generate reports to guide new security implementation. Course Outline Why Vulnerability Assessment Vulnerability Types Assessing the Network Assessing Web Servers and Applications Assessing Remote and VPN Services Vulnerability Assessments & Tools of the Trade Output Analysis

Duration 3 Days 18 CPD hours This course is intended for Java Developers with a minimum of 2 years of experience and individuals who want to become application security engineers/analysts/testers Individuals involved in the role of developing, testing, managing, or protecting wide area of applications. Overview In-depth understanding of secure SDLC and secure SDLC models Knowledge of OWASP Top 10, threat modelling, SAST and DAST Capturing security requirements of an application in development Defining, maintaining, and enforcing application security best practices The Certified Application Security Engineer (CASE) training and certification program provides a comprehensive application security approach which encompasses security activities involved in all the phases of Software Development Lifecycle (SDLC). Understanding Application Security, Threats, and AttacksSecurity Requirements GatheringSecure Application Design and ArchitectureSecure Coding Practices for Input ValidationSecure Coding Practices for Authentication and AuthorizationSecure Coding Practices for CryptographySecure Coding Practices for Session ManagementSecure Coding Practices for Error HandlingStatic and Dynamic Application Security Testing (SAST & DAST)Secure Deployment and Maintenance

Expand your VBA knowledge further and learn some of the more advanced coding features. Course overview Duration: 2 days (13 hours) This course is aimed at experienced VBA users or those who have attended our Part 1 course and have started to use the language. Part 2 expands on the huge array of commands and elements of the data model that can be used and looks at building more complex VBA models Objectives  By the end of the course you will be able to: Use comparison operators and system functions Use Arrays Work with ranges Work with the worksheets and workbooks collections and objects Use application objects Use the FileSystemObject Create function procedures Import and save text files Connect to other applications Content Comparison operators Using Comparison operators and functions The LIKE function Wildcards Using SELECT Case System functions The VAL function Case functions Trim functions Text functions Date functions Excel worksheet functions Using Excel functions in VBA Arrays Creating arrays Using arrays Ubound and Lbound Single and multi dimensional arrays Static vs dynamic arrays Working with ranges Creating range objects Passing data between range objects and arrays Using Transpose The Excel object model The object browser Working with collections Collections Creating object variables Setting object variables The For Each . . . Next Loo Sheet collections The worksheets collection The worksheet object The sheets collection Using object Grouping worksheets Using Typename The Workbook collection The workbooks collection Setting workbook variables Application objects Excel default information Display/alerts Screen updating Status bar On Time Using Wait Systems dialog boxes Showing dialog boxes Using dialog boxes Working with files Searching for files and folders The DIR function The FileSystemObject Function procedures Creating functions Adding arguments Calling functions Working with text files Searching for files and folders The DIR function The FileSystemObject Using the FILE and FOLDER collections Sharing data with other applications Early vs Late Binding Setting references to other applications Creating application variables Setting application variables