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Duration 3 Days 18 CPD hours This course is intended for Cybersecurity analysts and engineers and security operations specialists, as well as administrators and product deployers. Overview Successful completion of this instructor-led course with hands-on lab activities should enable you to: Describe the architecture and components of the Cortex XDR family Use the Cortex XDR management console, including reporting Create Cortex XDR agent installation packages, endpoint groups, and policies Deploy Cortex XDR agents on endpoints Create and manage Exploit and Malware Prevention profiles Investigate alerts and prioritize them using starring and exclusion policies Tune Security profiles using Cortex XDR exceptions Perform and track response actions in the Action Center Perform basic troubleshooting related to Cortex XDR agents Deploy a Broker VM and activate the Local Agents Settings applet Understand Cortex XDR deployment concepts and activation requirements Work with the Customer Support Portal and Cortex XDR Gateway for authentication and authorization This instructor-led training enables you to prevent attacks on your endpoints. After an overview of the Cortex XDR components, the training introduces the Cortex XDR management console and demonstrates how to install agents on your endpoints and how to create Security profiles and policies. The training enables you to perform and track response actions, tune profiles, and work with Cortex XDR alerts. The training concludes with discussions about basic troubleshooting of the agent, the on-premises Broker VM component, and Cortex XDR deployment. Course Outline Module 1 - Cortex XDR Overview Module 2 - Cortex XDR Main Components Module 3 - Cortex XDR Management Console Module 4 - Profiles and Policy Rules Module 5 - Malware Protection Module 6 - Exploit Protection Module 7 - Cortex XDR Alerts Module 8 - Tuning Policies Using Exceptions Module 9 - Response Actions Module 10 - Basic Agent Troubleshooting Module 11 - Broker VM Overview Module 12 - Deployment Considerations Additional course details: Nexus Humans Palo Alto Networks : Cortex XDR 3.2: Prevention and Deployment (EDU-260) 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 Palo Alto Networks : Cortex XDR 3.2: Prevention and Deployment (EDU-260) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 0.5 Days 3 CPD hours This course is intended for This course is designed for the non-technical end user of computers, mobile devices, networks, and the Internet, to enable you to use technology more securely to minimize digital risks. This course is also designed for you to prepare for the Certified CyberSAFE credential. You can obtain your Certified CyberSAFE certificate by completing the Certified CyberSAFE credential process on the CHOICE platform following the course presentation. Overview In this course, you will identify many of the common risks involved in using conventional end-user technology, as well as ways to use it safely, to protect yourself from those risks. You will: Identify the need for security Secure devices like desktops, laptops, smartphones, and more Use the Internet securely Regardless of your computer experience, this class will help you become more aware of technology ðrelated risks and what you can do to protect yourself and your organization from them. This course will help you to: ? Understand security compliance needs and requirements ? Recognize and avoid phishing and other social engineering ? Recognize and avoid viruses, ransomware, and other malware ? Help ensure data security on computers, mobile devices, networks, the Internet, and in the cloud. In this course, you will use discussions, case studies, and the experiences of your instructor and fellow students to explore the hazards and pitfalls of technology and learn how to use that technology safely and securely. Course includes access to the CyberSAFE assessment. Upon successful completion of the assessment, learners will receive the CyberSAFE credential and digital badge. Identifying the Need for Security Identify Security Compliance Requirements Recognize Social Engineering and Avoid Phishing and other Attacks Securing Devices Maintain Physical Security of Devices Use Passwords for Security Protect Your Data Identify and Mitigate Viruses, Ransomware, and other Malware Use Wireless Devices Securely Using the Internet Securely Browse the Web Safely Use Email Securely Use Social Networking Securely Use Cloud Services Securely Additional course details: Nexus Humans CertNexus CyberSAFE Extended Edition 2019 (CBS-310) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the CertNexus CyberSAFE Extended Edition 2019 (CBS-310) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Developers responsible for developing Deep Learning applications Developers who want to understand concepts behind Deep Learning and how to implement a Deep Learning solution on AWS Overview This course is designed to teach you how to: Define machine learning (ML) and deep learning Identify the concepts in a deep learning ecosystem Use Amazon SageMaker and the MXNet programming framework for deep learning workloads Fit AWS solutions for deep learning deployments In this course, you?ll learn about AWS?s deep learning solutions, including scenarios where deep learning makes sense and how deep learning works. You?ll learn how to run deep learning models on the cloud using Amazon SageMaker and the MXNet framework. You?ll also learn to deploy your deep learning models using services like AWS Lambda while designing intelligent systems on AWS. Module 1: Machine learning overview A brief history of AI, ML, and DL The business importance of ML Common challenges in ML Different types of ML problems and tasks AI on AWS Module 2: Introduction to deep learning Introduction to DL The DL concepts A summary of how to train DL models on AWS Introduction to Amazon SageMaker Hands-on lab: Spinning up an Amazon SageMaker notebook instance and running a multi-layer perceptron neural network model Module 3: Introduction to Apache MXNet The motivation for and benefits of using MXNet and Gluon Important terms and APIs used in MXNet Convolutional neural networks (CNN) architecture Hands-on lab: Training a CNN on a CIFAR-10 dataset Module 4: ML and DL architectures on AWS AWS services for deploying DL models (AWS Lambda, AWS IoT Greengrass, Amazon ECS, AWS Elastic Beanstalk) Introduction to AWS AI services that are based on DL (Amazon Polly, Amazon Lex, Amazon Rekognition) Hands-on lab: Deploying a trained model for prediction on AWS Lambda Additional course details: Nexus Humans Deep Learning on AWS training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Deep Learning on AWS course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 4 Days 24 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 Cisco IOS XR 64-Bit software architecture and Linux system fundamentals Describe the major differences between classic Cisco IOS XR software and Cisco IOS XR 64-Bit software on the ASR 9000 Series routers Migrate an ASR 9000 Series router from classic IOS XR software to Cisco IOS XR 64-Bit software Perform and explain Cisco IOS XR 64-Bit software installations Configure and describe Cisco IOS XR 64-Bit software features The Cisco ASR 9000 Series IOS XR 64-Bit Software Migration and Operational Enhancements (IOSXR211) course covers the migration from classic 32-bit Cisco IOS© XR software to Cisco IOS XR 64-Bit software on the Cisco© ASR 9000 Series Aggregation Services Routers. This course will also examine the software architecture, boot process, and auto-provisioning of the Cisco IOS XR 64-bit software, as well as showing you how to install Cisco IOS XR and third-party software packages. In addition, it will investigate data models and show you how to implement telemetry, model-driven programmability, and application hosting services. Software Architecture and Linux Fundamentals Cisco IOS XR 64-Bit Software Fundamentals Cisco ASR 9000 Series IOS XR 64-Bit Software vs. Classic 32-Bit Software Exploring Linux Fundamentals Creating User Profiles Cisco IOS XR 64-Bit Software Installation Examining Resource Allocations and Media Mappings Migrating to Cisco IOS XR 64-Bit Software Examining the Boot Process Performing Disaster Recovery Installing Software Packages Cisco IOS XR 64-Bit Software Features Investigating Data Models Implementing Telemetry Exploring Model-Driven Programmability Employing Application Hosting Additional course details: Nexus Humans Cisco ASR9000 Series 64-bit Software Migration (IOSXR211) 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 ASR9000 Series 64-bit Software Migration (IOSXR211) 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.

Overview In the era where information is abundant and decisions are driven by data, have you ever pondered, 'what is machine learning?' or 'what is data science?' Dive into the realm of 'Data Science & Machine Learning with R from A-Z,' a comprehensive guide to unravel these complexities. This course effortlessly blends the foundational aspects of data science with the intricate depths of machine learning algorithms, all through the versatile medium of R. As the digital economy booms, the demand for machine learning jobs continues to surge. Equip yourself with the proficiency to navigate this dynamic field and transition from being an inquisitive mind to a sought-after professional in the space of data science and machine learning with R. Learning Outcomes: Understand the foundational concepts of data science and machine learning. Familiarise oneself with the R environment and its functionalities. Master data types, structures, and advanced techniques in R. Acquire proficiency in data manipulation and visual representation using R. Generate comprehensive reports using R Markdown and design web applications with R Shiny. Gain a thorough understanding of machine learning methodologies and their applications. Gain insights into initiating a successful career in the data science sector. Why buy this Data Science & Machine Learning with R from A-Z course? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Data Science & Machine Learning with R from A-Z there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Data Science & Machine Learning with R from A-Z course for? This course is ideal for Individuals keen on exploring the intricacies of machine learning and data science. Aspiring data analysts and scientists looking to specialise in Machine Learning with R. IT professionals aiming to diversify their skill set in the emerging data-driven market. Researchers seeking to harness the power of R for data representation and analysis. Academics and students aiming to bolster their understanding of modern data practices with R. Prerequisites This Data Science & Machine Learning with R from A-Z does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Data Science & Machine Learning with R from A-Z was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Data Scientist - Average salary range: £35,000 - £70,000 Per Annum Machine Learning Engineer - Average salary range: £50,000 - £80,000 Per Annum Data Analyst - Average salary range: £28,000 - £55,000 Per Annum R Developer - Average salary range: £30,000 - £60,000 Per Annum R Shiny Web Developer - Average salary range: £32,000 - £65,000 Per Annum Machine Learning Researcher - Average salary range: £40,000 - £75,000 Per Annum Course Curriculum Data Science and Machine Learning Course Intro Data Science and Machine Learning Introduction 00:03:00 What is Data Science 00:10:00 Machine Learning Overview 00:05:00 Who is This Course for 00:03:00 Data Science and Machine Learning Marketplace 00:05:00 Data Science and Machine Learning Job Opportunities 00:03:00 Getting Started with R Getting Started 00:11:00 Basics 00:06:00 Files 00:11:00 RStudio 00:07:00 Tidyverse 00:05:00 Resources 00:04:00 Data Types and Structures in R Unit Introduction 00:30:00 Basic Type 00:09:00 Vector Part One 00:20:00 Vectors Part Two 00:25:00 Vectors - Missing Values 00:16:00 Vectors - Coercion 00:14:00 Vectors - Naming 00:10:00 Vectors - Misc 00:06:00 Creating Matrics 00:31:00 List 00:32:00 Introduction to Data Frames 00:19:00 Creating Data Frames 00:20:00 Data Frames: Helper Functions 00:31:00 Data Frames Tibbles 00:39:00 Intermediate R Intermediate Introduction 00:47:00 Relational Operations 00:11:00 Conditional Statements 00:11:00 Loops 00:08:00 Functions 00:14:00 Packages 00:11:00 Factors 00:28:00 Dates and Times 00:30:00 Functional Programming 00:37:00 Data Import or Export 00:22:00 Database 00:27:00 Data Manipulation in R Data Manipulation in R Introduction 00:36:00 Tidy Data 00:11:00 The Pipe Operator 00:15:00 The Filter Verb 00:22:00 The Select Verb 00:46:00 The Mutate Verb 00:32:00 The Arrange Verb 00:10:00 The Summarize Verb 00:23:00 Data Pivoting 00:43:00 JSON Parsing 00:11:00 String Manipulation 00:33:00 Web Scraping 00:59:00 Data Visualization in R Data Visualization in R Section Intro 00:17:00 Getting Started 00:16:00 Aesthetics Mappings 00:25:00 Single Variable Plots 00:37:00 Two Variable Plots 00:21:00 Facets, Layering, and Coordinate Systems 00:18:00 Styling and Saving 00:12:00 Creating Reports with R Markdown Creating with R Markdown 00:29:00 Building Webapps with R Shiny Introduction to R Shiny 00:26:00 A Basic R Shiny App 00:31:00 Other Examples with R Shiny 00:34:00 Introduction to Machine Learning Machine Learning Part 1 00:22:00 Machine Learning Part 2 00:47:00 Starting A Career in Data Science Starting a Data Science Career Section Overview 00:03:00 Data Science Resume 00:04:00 Getting Started with Freelancing 00:05:00 Top Freelance Websites 00:05:00 Personal Branding 00:05:00 Importance of Website and Blo 00:04:00 Networking Do's and Don'ts 00:04:00 Assignment Assignment - Data Science & Machine Learning with R 00:00:00

Course Overview "Stock Trading Analysis with Volume Trading" is designed to provide learners with a comprehensive understanding of how to leverage volume analysis in stock trading. This course covers essential volume indicators, strategies, and techniques, empowering learners to make informed trading decisions. The course aims to enhance trading skills by explaining how volume trends can influence stock price movements, offering learners practical insights into market behaviour. By the end of the course, learners will have the ability to interpret volume data, use it to spot market trends, and apply it within their trading strategies, enhancing their confidence and decision-making capabilities in stock trading. Course Description This course delves into the critical aspect of volume analysis in stock trading, providing a thorough exploration of how trading volume can provide valuable market insights. Learners will study various volume indicators and their applications, uncover trading strategies that incorporate volume as a key factor, and gain the skills necessary to identify profitable market movements. The course also includes practical examples and analysis to demonstrate how volume impacts stock trends, while familiarising learners with the tools used in volume trading. By completing this course, learners will develop the expertise to utilise volume trading strategies to enhance their trading performance and make more informed decisions in real-time market scenarios. Course Modules Module 01: Volume Analysis Module 02: Volume Studies and Indicators Module 03: Volume Trading Strategies and Techniques Module 04: Examples and Analysis Module 05: Trading Platform (See full curriculum) Who is this course for? Individuals seeking to enhance their stock trading skills Professionals aiming to develop expertise in volume trading strategies Beginners with an interest in stock market analysis Anyone looking to understand the role of volume in trading decisions Career Path Stock Trader Financial Analyst Investment Advisor Trading Platform Specialist Portfolio Manager

This intensive one-day training programme has been developed to help those involved in producing specifications create high quality documents in an organised and effective way. The programme explains the primary purpose of specifications and the importance of understanding the context in which they are used. It focuses particularly on how to develop and structure content and write requirements that are clear and concise. The methods and techniques presented will provide a practical foundation course for those new to the topic whilst offering new insights to those with more experience. The objectives of the workshop are to: Review and discuss the role and purpose of specifications Present a structured approach for organising and producing specifications Explain each of the key steps involved in creating effective specifications Review some methods for assisting in defining requirements Explain how to define the scope and develop the structure for a specification Present methods to assist the writing and editing of specifications Review how specifications should be issued and controlled 1 Introduction Course objectives Review of participants' needs and objectives 2 Specifications in perspective The role and purpose of specifications The impact of specifications on commercial performance The qualities of an effective specification The five key steps of 'POWER' writing: prepare-organise-write-edit-release 3 Step 1: Preparing to write Defining the purpose the specification; integrating the specification and contract Deciding how to specify: when to specify in functional and technical terms Getting the right people involved at the right time; engaging stakeholders Applying procedures for writing, issuing and controlling specifications 4 Step 2: Organising the specification content Scoping the document: scope maps, check lists, structured brainstorming Clarifying requirements; separating needs and desires Dealing with requirements that are difficult to quantify Useful techniques: cost benefit analysis, Pareto analysis Deciding what goes where; typical contents and layout for a specification Creating and using model forms: typical sections and sub sections 5 Step 3: Writing the specification Identifying and understanding the readers needs Choosing and using the right words; dealing with jargon Important words; will, shall, must; building a glossary Using sentence structure and punctuation to best effect Understanding the impact of style, format and appearance Avoiding common causes of ambiguity; being concise and ensuring clarity 6 Step 4: Editing the specification Why editing is difficult; how to develop a personal editing strategy Key areas to review: structure, content, accuracy, clarity, style and grammar Editing tools and techniques 7 Step 5: Releasing and controlling the specification Key requirements for document issue and control Final formatting and publication issues; document approval Requirements management: managing revisions and changes 8 Course review and action planning What actions should be implemented to improve specifications? Conclusion

Duration 5 Days 30 CPD hours This course is intended for The primary audience for this course are Application Consultants, Business Analysts, Business Process Owners/Team Leads/Power Users, Program/Project Managers, and Users. Overview Learn how to create queries in BEx Query DesignerLearn how to use advanced query functionsLearn how to perform OLAP analysis In this course, students obtain the knowledge to create query definitions using the BEx Query Designer and to make them available for OLAP analysis. Data Warehousing Describing Data Warehousing Describing Data Warehouse Architecture Using Reporting Tools Navigation Options in Reports Using the Navigation Options in Reports Saving Analysis Views Simple Queries Creating Simple Queries Finding a Query Filtering Query Definition Data Configuring Query Properties Key Figures and Structures in Queries Creating Restricted Key Figures Creating Calculated Key Figures Creating a New Formula with Boolean Operators Configuring Properties of Key Figures Using Exception and Nested Exception Aggregation Queries with Multiple Structures Creating Structures Resolving Formula Collision Designing Detailed Queries with the Cell Editor Characteristics and Hierarchies in Queries Configuring the Properties of Characteristics Running Display and Navigation Attribute Queries Adding Hierarchies to Reports Adding External Hierarchies to a Report Using Hierarchies and Structures Creating External Hierarchies Variables in Queries Using Variables Creating Characteristic Value and Text Variables in Queries Creating Hierarchy and Hierarchy Node Variables in Queries Creating Formula Variables in Queries Activating Business Content Variables Exceptions and Conditions in Queries Creating Exceptions in Query Design Creating Conditions in Query Design Report-Report Interface Using the Report-Report Interface Query Performance Optimization Optimizing Query Performance Configuring Query Read Mode Use Performance Monitoring Tools Queries Management and Authorizations Overview Managing Query Objects Describing Authorizations Reporting Options Outlining Reporting Options for SAP NetWeaver BW Additional course details: Nexus Humans BW305 SAP Business Warehouse Query Design and Analysis 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 BW305 SAP Business Warehouse Query Design and Analysis 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 aimed at developers who want to build web applications using ASP.NET Core or developers who want to make a career building web applications using Microsoft technology. In the web world, the ability to build robust web applications is key. With the knowledge about ASP.NET Core MVC (that makes use of the Model-View-Controller architecture) that you will take away from this course, you will be prepared to meet this need. In today's age, it's important for you as a developer to possess the ability to separate the programming and business logic. This course covering ASP.NET Core 2 will help you develop this skillset. Setting the Stage Introduction to Web Applications Creating ASP.NET Core application Controllers Role of the Controller in ASP.NET MVC Applications Introduction to Routing Our First Controller Implementing our own IActionResult Adding Views Adding Models Passing Data from the Controller to the View Filters Writing a Custom Filter Views The View Engine and the Razor View Engine Working with Layout Generating HTML Partial View View Components Tag Helpers Models Introduction to Models Model Binding The Entity Framework Using the Entity Framework in ASP.NET MVC applications Database Migration Validation Introduction to Validation Client-Side and Server-Side Validation Server-side Validation Client-side Validation Implementation Routing Convention-Based Routing Attribute-Based Routing Route Attribute at the Controller Level Passing Routing Values in HTTP Action Verbs in the Controller Route Constraints Rest Buy Designing Rest Buy Creating the Entities for the Application Creating EF Context and Migration Adding Features, Testing, and Deployment Adding the Registration Feature Creating a Unit Test Upgrading Our Application to Bootstrap 4 Deploying Rest Buy to Azure Additional course details: Nexus Humans Beginning ASP.NET 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 Beginning ASP.NET 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 is highly recommended for everyone in a company who works in a Scrum Team or anyone who interacts with any Scrum Team. This will also be very useful for those who are interested in understanding the basics of Scrum and how this method could be used effectively. Overview To ensure that students understand the basics of Scrum To enable Scrum Team members to effectively contribute to a Scrum project. To enable Scrum Team members to apply Scrum effectively in Scrum/Agile projects. In this course, students learn to understand the basics of Scrum, effectively contribute to a Scrum project, and learn how to enable Scrum Team members to apply Scrum effectively in Scrum/Agile projects.Successful candidates will be awarded the Scrum Developer Certified (SDC?) certification by SCRUMstudy after passing the included certification exam. Introduction Agile Overview Scrum Overview Principles The Six Scrum Principles Organization Core Roles and Non-core Roles Business Justification Value-driven Delivery Factors used to Determine Business Justification Confirm Benefits Realization Quality Quality Defined Quality, Scope and Business Value Quality Management in Scrum Change Unapproved and Approved Changes Change in Scrum Risk Risks and Issues Risk Management Procedure Introduction to Scrum Project PhasesInitiate Create Project Vision Process Identify Scrum Master and Stakeholders Process Form Scrum Team and Develop Epics processes Create Prioritized Product Backlog and Conduct Release Planning Processes Plan and Estimate Create User Stories Process Estimate User Stories and Commit User Stories Processes Identify Tasks and Estimate Tasks Processes Create Sprint Backlog Process Implement Create Deliverables and Conduct Daily Stand-up processes Groom Prioritized Product Backlog Process Review and Retrospect Demonstrate and Validate Sprint Process Retrospect Sprint Process Additional course details: Nexus Humans Scrum Developer Certified (SDC) 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 Scrum Developer Certified (SDC) 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.