3124 Development courses delivered Live Online

Course Overview "JavaScript for Everyone" offers a comprehensive introduction to one of the most essential programming languages used in web development. This course covers the fundamental concepts of JavaScript, allowing learners to build dynamic, interactive websites. Students will gain a solid understanding of core JavaScript principles such as variables, loops, functions, and objects, as well as more advanced topics like cookies, page redirection, and error handling. By the end of the course, learners will be equipped with the skills to implement JavaScript in real-world projects, enhancing the interactivity and functionality of websites. Course Description This course provides an in-depth exploration of JavaScript, focusing on both basic and advanced topics. It begins with an introduction to key programming concepts before diving into areas such as conditional statements, functions, and events. Learners will discover how to work with JavaScript objects, arrays, and built-in objects like Number, Boolean, and String. Additionally, the course covers important aspects like page redirection, pop-up boxes, and validation techniques. By the end, students will be proficient in JavaScript debugging, error handling, and using regular expressions, with a clear understanding of how to apply JavaScript in web development projects. Course Modules Module 01: Introduction Module 02: Basic Concepts on JavaScript Module 03: Conditional and Switch Statements Module 04: JS Functions Module 05: JS Events Module 06: JS Cookies Module 07: JS Page Redirection Module 08: JS Popup Boxes Module 09: JS Void Module 10: JS Print Module 11: JS Objects Module 12: JS Number Object Module 13: JS Boolean Object Module 14: JS String Object Module 15: JS Arrays Module 16: JS Dates Module 17: JS Math and Reg Exp Module 18: JS Browsers and Summary Module 19: JS Debugging Module 20: JS Errors Module 21: JS Validations (See full curriculum) Who is this course for? Individuals seeking to develop web development skills. Professionals aiming to enhance their programming knowledge. Beginners with an interest in web development or JavaScript. Anyone looking to gain a foundational understanding of programming languages. Career Path Web Developer Front-End Developer JavaScript Developer Software Engineer Full-Stack Developer Web Application Developer

Social Media Strategy and Content workshop for professional hypnotherapists. Presented by Elle Cloke of We Do Social Media and The Social Media Gym.

Autism in Early Childhood Course Overview: This course offers an in-depth exploration of autism in early childhood, focusing on understanding its characteristics, identifying early signs, and learning effective intervention strategies. It is designed to equip learners with the knowledge needed to support children with autism and improve their developmental outcomes. By the end of the course, learners will gain a comprehensive understanding of autism spectrum disorder (ASD) in young children, the challenges they face, and the best approaches to support their learning and development. This course is valuable for anyone seeking to make a positive impact on children with autism, whether in a professional or personal context. Course Description: This course delves into the key aspects of autism in early childhood, covering the various diagnostic criteria, early signs of ASD, and its impact on development. Learners will explore evidence-based practices for supporting children with autism, focusing on communication, social skills, and behavioural development. The course also highlights the importance of early intervention and strategies to enhance learning and development in young children with ASD. Learners will gain the skills to assess needs, develop support plans, and collaborate with families and professionals. By the end of the course, participants will be equipped to support children with autism effectively and contribute to their successful integration into educational and social environments. (UK English standards are maintained throughout.) Autism in Early Childhood Curriculum: Module 01: Autism in Early Childhood (See full curriculum) Who is this course for? Individuals seeking to deepen their understanding of autism in early childhood. Professionals aiming to enhance their expertise in supporting children with autism. Beginners with an interest in autism spectrum disorder and early childhood development. Parents, caregivers, and educators wishing to provide better support to children with autism. Career Path: Special Educational Needs (SEN) Teacher Autism Specialist Educator Child Development Practitioner Early Childhood Educator Behavioural Therapist Special Needs Support Worker

Inspiring, interactive and unique 4-hour CPD certified training on Communication and Co-production with Parents/Carers

Duration 4 Days 24 CPD hours This course is intended for The primary audience for this course are Technology Consultants, System Administrators, System Architects, Database Administrators, Help Desk/COE Support, and Program/Project Managers. Overview Presentation in detail of the architecture of SAP NetWeaver Application Server (SAP NetWeaver AS).Learn effective techniques for navigating.Receive an overview of the development process in an SAP system landscape In this course, students gain knowledge about the fundamentals of SAP NetWeaver Application Server. SAP Systems Explaining the Key Capabilities of SAP NetWeaver Explaining the Architecture of an SAP System, Application Server (AS) ABAP and Application Server (AS) Java Navigation Basics Navigating with SAP Graphical User Interface (GUI) for Windows in AS ABAP Systems Navigating with a Browser in AS Java Systems System Core Explaining AS ABAP and AS Java System Architecture Identifying the Processes of an AS ABAP System Processing User Requests in AS ABAP Using Additional Processes of an AS ABAP System Explaining the Processes of an AS Java System Software Development in SAP Systems Outlining the Data Structure of an AS ABAP System Managing Transports in the ABAP Environment Explaining ABAP Workbench Tools Developing and Transporting an ABAP Repository Object Developing Applications in AS Java Developing Applications in Eclipse for ABAP Communication and Integration Technologies Describing Communication with Remote Function Call-Based (RFC) Technology Describing the Basics of Web Services Describing OData in SAP Gateway Application Lifecycle Management (ALM) Explaining Application Lifecycle Management (ALM) Describing the Installation of an SAP System Describing the Maintenance of an SAP System SAP Portfolio Overview Identifying the Platform, Database, and User Experience in the SAP Technology Portfolio Outlining Additional Components of the SAP Technology Portfolio Identifying the Components of the SAP Applications Portfolio SAP User Interfaces Accessing AS ABAP Systems with SAP GUI Accessing SAP Systems Using Other User Interfaces Additional Information Sources Accessing the SAP Service Marketplace (SMP) Accessing the SAP Community Network (SCN)

Introducing you to the basic meanings on each card, covering different reading spreads and connecting deeply with your intuition so that you can read for yourself and others with accuracy and confidence.

Duration 1 Days 6 CPD hours This course is intended for This course is intended for the following participants: Cloud professionals who intend to take the Professional Cloud Architect certification exam. Overview Candidates will be able to identify skill gaps and further areas of study. Candidates will also be directed to appropriate target learning resources. Students in this course will prepare for the Professional Cloud Architect Certification Exam. They will rehearse useful skills including exam question reasoning and case comprehension, tips and review of topics from the Infrastructure curriculum. Understanding the Professional Cloud Architect Certification Position the Professional Cloud Architect certification among the offerings Distinguish between Associate and Professional Provide guidance between Professional Cloud Architect and Associate Cloud Engineer Describe how the exam is administered and the exam rules Provide general advice about taking the exam Sample Case Studies MountKirk Games Dress4Win TerramEarth Designing and Implementing Review the layered model from Design and Process Provide exam tips focused on business and technical design Designing a solution infrastructure that meets business requirements Designing a solution infrastructure that meets technical requirements Design network, storage, and compute resources Creating a migration plan Envisioning future solution improvements Resources for learning more about designing and planning Configuring network topologies Configuring individual storage systems Configuring compute systems Resources for learning more about managing and provisioning Designing for security Designing for legal compliance Resources for learning more about security and compliance Optimizing and Operating Analyzing and defining technical processes Analyzing and defining business processes Resources for learning more about analyzing and optimizing processes Designing for security Designing for legal compliance Resources for learning more about security and compliance Advising development/operation teams to ensure successful deployment of the solution Resources for learning more about managing implementation Easy buttons Playbooks Developing a resilient culture Resources for learning more about ensuring reliability Next Steps Present Qwiklabs Challenge Quest for the Professional CA Identify Instructor Led Training courses and what they cover that will be helpful based on skills that might be on the exam Connect candidates to individual Qwiklabs, and to Coursera individual courses and specializations. Review/feedback of course Additional course details: Nexus Humans Preparing for the Professional Cloud Architect Examination 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 Preparing for the Professional Cloud Architect Examination 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 best suited to developers, engineers, and architects who want to use use Hadoop and related tools to solve real-world problems. Overview Skills learned in this course include:Creating a data set with Kite SDKDeveloping custom Flume components for data ingestionManaging a multi-stage workflow with OozieAnalyzing data with CrunchWriting user-defined functions for Hive and ImpalaWriting user-defined functions for Hive and ImpalaIndexing data with Cloudera Search Cloudera University?s four-day course for designing and building Big Data applications prepares you to analyze and solve real-world problems using Apache Hadoop and associated tools in the enterprise data hub (EDH). IntroductionApplication Architecture Scenario Explanation Understanding the Development Environment Identifying and Collecting Input Data Selecting Tools for Data Processing and Analysis Presenting Results to the Use Defining & Using Datasets Metadata Management What is Apache Avro? Avro Schemas Avro Schema Evolution Selecting a File Format Performance Considerations Using the Kite SDK Data Module What is the Kite SDK? Fundamental Data Module Concepts Creating New Data Sets Using the Kite SDK Loading, Accessing, and Deleting a Data Set Importing Relational Data with Apache Sqoop What is Apache Sqoop? Basic Imports Limiting Results Improving Sqoop?s Performance Sqoop 2 Capturing Data with Apache Flume What is Apache Flume? Basic Flume Architecture Flume Sources Flume Sinks Flume Configuration Logging Application Events to Hadoop Developing Custom Flume Components Flume Data Flow and Common Extension Points Custom Flume Sources Developing a Flume Pollable Source Developing a Flume Event-Driven Source Custom Flume Interceptors Developing a Header-Modifying Flume Interceptor Developing a Filtering Flume Interceptor Writing Avro Objects with a Custom Flume Interceptor Managing Workflows with Apache Oozie The Need for Workflow Management What is Apache Oozie? Defining an Oozie Workflow Validation, Packaging, and Deployment Running and Tracking Workflows Using the CLI Hue UI for Oozie Processing Data Pipelines with Apache Crunch What is Apache Crunch? Understanding the Crunch Pipeline Comparing Crunch to Java MapReduce Working with Crunch Projects Reading and Writing Data in Crunch Data Collection API Functions Utility Classes in the Crunch API Working with Tables in Apache Hive What is Apache Hive? Accessing Hive Basic Query Syntax Creating and Populating Hive Tables How Hive Reads Data Using the RegexSerDe in Hive Developing User-Defined Functions What are User-Defined Functions? Implementing a User-Defined Function Deploying Custom Libraries in Hive Registering a User-Defined Function in Hive Executing Interactive Queries with Impala What is Impala? Comparing Hive to Impala Running Queries in Impala Support for User-Defined Functions Data and Metadata Management Understanding Cloudera Search What is Cloudera Search? Search Architecture Supported Document Formats Indexing Data with Cloudera Search Collection and Schema Management Morphlines Indexing Data in Batch Mode Indexing Data in Near Real Time Presenting Results to Users Solr Query Syntax Building a Search UI with Hue Accessing Impala through JDBC Powering a Custom Web Application with Impala and Search

Duration 5 Days 30 CPD hours This course is intended for This course is designed for technology leaders, solution developers, project managers, organizational decision makers, and other individuals seeking to demonstrate a vendor-neutral, cross-industry understanding of ethics in emerging data-driven technologies, such as AI, robotics, IoT, and data science. This course is also designed for professionals who want to pursue the CertNexus Certification Exam CET-110: Certified Ethical Emerging Technologies. Overview In this course, you will incorporate ethics into data-driven technologies such as AI, IoT, and data science. You will: Describe general concepts, theories, and challenges related to ethics and emerging technologies. Identify ethical risks. Practice ethical reasoning. Identify and mitigate safety and security risks. Identify and mitigate privacy risks. Identify and mitigate fairness and bias risks. Identify and mitigate transparency and explainability risks. Identify and mitigate accountability risks. Build an ethical organization. Develop ethical systems in technology-focused organizations. Mutually reinforcing innovations in computing and engineering are catapulting advances in technological production. From blockchain and artificial intelligence (AI) to gene editing and the Internet of Things (IoT), these advances come with tremendous opportunities for improvement in productivity, efficiency, and human well-being. But as scandals increasingly demonstrate, these advances also introduce new and serious risks of conflict and harm.Technology professionals now face growing demands to identify and mitigate ethical risks to human rights and the environment, as well as to navigate ethical tradeoffs between qualities such as privacy and accuracy, fairness and utility, and safety and accountability. This course provides the tools to identify and manage common ethical risks in the development of emerging data-driven technologies. It distills ethical theory, public regulations, and industry best practices into concrete skills and guidelines needed for the responsible development of digital products and services. By following the course's practical, problems-based approach, learners will become adept at applying theories, principles, frameworks, and techniques in their own roles and organizations. Introduction to Ethics of Emerging Technologies Topic A: What?s at Stake Topic B: Ethics and Why It Matters Topic C: Ethical Decision-Making in Practice Topic D: Causes of Ethical Failures Identifying Ethical Risks Topic A: Ethical Reasons Topic B: Stumbling Blocks for Ethical Reasoning Topic C: Identify Ethical Risks in Product Development Topic D: Tools for Identifying Ethical Risks Topic E: Use Regulations, Standards, and Human Rights to Identify Ethical Risks Ethical Reasoning in Practice Topic A: Ethical Theories Topic B: Use Ethical Decision-Making Frameworks Topic C: Select Options for Action Topic D: Avoid Problems in Ethical Decision-Making Identifying and Mitigating Security Risks Topic A: What Is Security? Topic B: Identify Security Risks Topic C: Security Tradeoffs Topic D: Mitigate Security Risks Identifying and Mitigating Privacy Risks Topic A: What Is Privacy? Topic B: Identify Privacy Risks Topic C: Privacy Tradeoffs Topic D: Mitigate Privacy Risks Identifying and Mitigating Fairness and Bias Risks Topic A: What Are Fairness and Bias? Topic B: Identify Bias Risks Topic C: Fairness Tradeoffs Topic D: Mitigate Bias Risks Identifying and Mitigating Transparency and Explainability Risks Topic A: What Are Transparency and Explainability? Topic B: Identify Transparency and Explainability Risks Topic C: Transparency and Explainability Tradeoffs Topic D: Mitigate Transparency and Explainability Risks Identifying and Mitigating Accountability Risks Topic A: What Is Accountability? Topic B: Identify Accountability Risks Topic C: Accountability Tradeoffs Topic D: Mitigate Accountability Risks Building an Ethical Organization Topic A: What Are Ethical Organizations? Topic B: Organizational Purpose Topic C: Ethics Awareness Topic D: Develop Professional Ethics within Organizations Developing Ethical Systems in Technology-Focused Organizations Topic A: Policy and Compliance Topic B: Metrics and Monitoring Topic C: Communication and Stakeholder Engagement Topic D: Ethical Leadership

Duration 2 Days 12 CPD hours This course is intended for Data Protection Officers Data Protection Managers Auditors Legal Compliance Officers Security Manager Information Managers Anyone involved with data protection processes and programs Overview It will show the world that students know privacy laws and regulations and how to apply them, and that students know how to secure your place in the information economy. When students earn a CIPP credential, it means they've gained a foundational understanding of broad global concepts of privacy and data protection law and practice, including: jurisdictional laws, regulations and enforcement models; essential privacy concepts and principals; legal requirements for handling and transferring data and more. The Certified Information Privacy Professional/United States (CIPP/US) program, developed by the International Association of Privacy Professionals (IAPP) - the world?s largest comprehensive global information privacy community and resource, was the first professional certification ever to be offered in information privacy. The CIPP/US credential demonstrates a strong foundation in U.S. privacy laws and regulations and understanding of the legal requirements for the responsible transfer of sensitive personal data to/from the U.S., the EU and other jurisdictions.This course will provide you with a foundational understanding of broad global concepts of privacy and data protection law and practice, including: jurisdictional laws, regulations and enforcement models; essential privacy concepts and principals; legal requirements for handling and transferring data and more. Introduction to privacy Modern history of privacy Introduction to personal information Overview of data protection roles Summary of modern privacy frameworks Structure of U.S. law Structure and sources of U.S. law and relevant terms Governmental bodies having privacy and information security authority General Data Protection Regulation overview (GDPR) High-level overview of the GDPR Significance of the GDPR to U.S. organizations Roles and responsibilities outlined in the law California Consumer Privacy Act of 2018 (CCPA) High-level overview of the newly passed California Consumer Privacy Act of 2018 Scope Consumer rights Business obligations Enforcement Enforcement of U.S. privacy and security laws Distinguishing between criminal and civil liability Comparing federal and state authority Theories of legal liability Enforcement powers and responsibilities of government bodies, such as the FTC and state attorneys general Information management from a U.S. perspective Developing a privacy program Role of privacy professionals and accountability Employee training User preferences Managing vendors Data classification Federal versus state authority Differences between federal and state authority Preemption Healthcare Privacy laws in healthcare Major components of HIPAA Development of HITECH Privacy protections mandated by other significant healthcare laws Financial privacy Goals of financial privacy laws Key concepts of FCRA, FACTA and GLBA Red Flags Rule, Dodd-Frank and consumer protection laws Education Privacy rights and protections under FERPA Recent amendments provided by PPRA and NCLBA Telecommunications and marketing Rules and regulations of telecommunications entities Laws that govern marketing Addressing privacy in the digital advertising Law enforcement and privacy Privacy laws on intercepting communication Telecommunications industry and law enforcement Laws ensuring rights to financial privacy National security and privacy Rules and regulations on intercepting communication Evolution of the law Collaboration of government agencies and private companies to improve cybersecurity Civil litigation and privacy Privacy issues related to litigation Electronic discovery, redaction and protective orders U.S. discovery rules versus foreign laws Legal overview of workplace privacy Federal and state laws regulating and protecting employee privacy Federal laws prohibiting discrimination Privacy before, during and after employment Lifecycle of employee privacy Background screening Employee monitoring Investigating misconduct and termination Antidiscrimination laws ?Bring your own device? policies State data security laws State laws impacting data security Social Security number use regulation Laws governing data destruction Data breach notification laws Scope of state data breach notification law Nine elements of state data breach notification laws Major differences in state laws