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Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Solutions architects, security DevOps, and security engineers Overview In this course, you will learn to: Establish a landing zone with AWS Control Tower Configure AWS Organizations to create a multi-account environment Implement identity management using AWS Single Sign-On users and groups Federate access using AWS SSO Enforce policies using prepackaged guardrails Centralize logging using AWS CloudTrail and AWS Config Enable cross-account security audits using AWS Identity and Access Management (IAM) Define workflows for provisioning accounts using AWS Service Catalog and AWS Security Hub Security is foundational to AWS. Governance at scale is a new concept for automating cloud governance that can help companies retire manual processes in account management, budget enforcement, and security and compliance. By automating common challenges, companies can scale without inhibiting agility, speed, or innovation. In addition, they can provide decision makers with the visibility, control, and governance necessary to protect sensitive data and systems.In this course, you will learn how to facilitate developer speed and agility, and incorporate preventive and detective controls. By the end of this course, you will be able to apply governance best practices. Course Introduction Instructor introduction Learning objectives Course structure and objectives Course logistics and agenda Module 1: Governance at Scale Governance at scale focal points Business and Technical Challenges Module 2: Governance Automation Multi-account strategies, guidance, and architecture Environments for agility and governance at scale Governance with AWS Control Tower Use cases for governance at scale Module 3: Preventive Controls Enterprise environment challenges for developers AWS Service Catalog Resource creation Workflows for provisioning accounts Preventive cost and security governance Self-service with existing IT service management (ITSM) tools Module 4: Detective Controls Operations aspect of governance at scale Resource monitoring Configuration rules for auditing Operational insights Remediation Clean up accounts Module 5: Resources Explore additional resources for security governance at scale Additional course details: Nexus Humans AWS Security Governance at Scale 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 AWS Security Governance at Scale 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 Consultants, Support, System Administrators Overview Upon completion of the course, students will be able to: Run a business process. Create a business process using the Graphical Process Modeler. Explain how to create a service configuration. Explain how to track an executable business process. Discuss the basics of Sterling B2B Integrator. This course teaches students techniques, tools, and recommended practices that can be used to run a business process, create a business process using the Graphical Process Modeler, explain how to create a service configuration, explain how to track an executable business process, and discuss the basics of Sterling B2B Integrator through a combination of lecture and hands-on labs. About IBM Sterling B2B Integrator High level overview of the Admin Console with an exercise to start the application XML and XPath Basics Review the basics of XML and XPath which is heavily used in the application Basic Business Process Concepts Reviewing what XML and XPath components are used to build business processes Reviewing how to manually execute a business process within the application Tracking and Troubleshooting Business Processes Exercises to demonstrate how to work with business process instances Graphical Process Modeler (GPM) Overview of the Graphical Process Modeler Exercises to walk through the development of a business process in the GPM Exercises for checking in, executing, and modifying business processes Introduction to Service Management Several exercises showcasing specific services/adapters and other functionality Best Practices Covers specific business process development methods that are best practice Mapping Introduction to the Map Editor and Standards Exercises to build and use an XML Encoder Map Typing Map Exercises to build and use a Typing Map Case Study Exercise to build an end-to-end solution using what was learned in previous exercises Tracking System Health Review of archiving, migrating, and deleting business processes Additional course details: Nexus Humans IBM Sterling B2B Integrator Fundamentals 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 IBM Sterling B2B Integrator Fundamentals 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 designed for data analysts, business intelligence specialists, developers, system architects, and database administrators. Overview Skills gained in this training include:The features that Pig, Hive, and Impala offer for data acquisition, storage, and analysisThe fundamentals of Apache Hadoop and data ETL (extract, transform, load), ingestion, and processing with HadoopHow Pig, Hive, and Impala improve productivity for typical analysis tasksJoining diverse datasets to gain valuable business insightPerforming real-time, complex queries on datasets Cloudera University?s four-day data analyst training course focusing on Apache Pig and Hive and Cloudera Impala will teach you to apply traditional data analytics and business intelligence skills to big data. Hadoop Fundamentals The Motivation for Hadoop Hadoop Overview Data Storage: HDFS Distributed Data Processing: YARN, MapReduce, and Spark Data Processing and Analysis: Pig, Hive, and Impala Data Integration: Sqoop Other Hadoop Data Tools Exercise Scenarios Explanation Introduction to Pig What Is Pig? Pig?s Features Pig Use Cases Interacting with Pig Basic Data Analysis with Pig Pig Latin Syntax Loading Data Simple Data Types Field Definitions Data Output Viewing the Schema Filtering and Sorting Data Commonly-Used Functions Processing Complex Data with Pig Storage Formats Complex/Nested Data Types Grouping Built-In Functions for Complex Data Iterating Grouped Data Multi-Dataset Operations with Pig Techniques for Combining Data Sets Joining Data Sets in Pig Set Operations Splitting Data Sets Pig Troubleshoot & Optimization Troubleshooting Pig Logging Using Hadoop?s Web UI Data Sampling and Debugging Performance Overview Understanding the Execution Plan Tips for Improving the Performance of Your Pig Jobs Introduction to Hive & Impala What Is Hive? What Is Impala? Schema and Data Storage Comparing Hive to Traditional Databases Hive Use Cases Querying with Hive & Impala Databases and Tables Basic Hive and Impala Query Language Syntax Data Types Differences Between Hive and Impala Query Syntax Using Hue to Execute Queries Using the Impala Shell Data Management Data Storage Creating Databases and Tables Loading Data Altering Databases and Tables Simplifying Queries with Views Storing Query Results Data Storage & Performance Partitioning Tables Choosing a File Format Managing Metadata Controlling Access to Data Relational Data Analysis with Hive & Impala Joining Datasets Common Built-In Functions Aggregation and Windowing Working with Impala How Impala Executes Queries Extending Impala with User-Defined Functions Improving Impala Performance Analyzing Text and Complex Data with Hive Complex Values in Hive Using Regular Expressions in Hive Sentiment Analysis and N-Grams Conclusion Hive Optimization Understanding Query Performance Controlling Job Execution Plan Bucketing Indexing Data Extending Hive SerDes Data Transformation with Custom Scripts User-Defined Functions Parameterized Queries Choosing the Best Tool for the Job Comparing MapReduce, Pig, Hive, Impala, and Relational Databases Which to Choose?

Diploma in Python Programming Course Overview The Diploma in Python Programming offers an in-depth exploration of Python, one of the most versatile and in-demand programming languages. This course is designed to provide learners with a strong foundation in Python, covering essential concepts such as data structures, functions, libraries, and file handling. Learners will gain the skills necessary to write Python code to solve real-world problems, enabling them to create applications, automate tasks, and perform data analysis. By the end of the course, learners will have the practical knowledge to use Python effectively for various programming tasks in both professional and personal settings. Course Description This comprehensive course begins with the basics of Python programming, guiding learners through essential concepts such as syntax, data types, and conditional statements. Learners will progress to more advanced topics, including file handling, data storage structures, and error handling. Key modules like the creation of user functions, working with external libraries, and implementing Python in database management provide valuable skills that can be directly applied in the workplace. This course also covers essential tools such as command prompt usage, Jupyter notebooks, and package management in Python. By the end of the course, learners will have developed the confidence and competence to apply Python across various domains, including software development, data analysis, and system automation. Diploma in Python Programming Curriculum Module 01: Introduction to Python Programming Module 02: Getting Started with Python Module 03: Conditional Branching with Python Module 04: Importing External/Internal Library in Python Module 05: Project Rock Paper and Scissors Module 06: Strings Operation in Python Module 07: Date and Time in Python Module 08: File Handling, Read and Write Using Python Module 09: Data Storage Structures: Tuple, List, and Dictionary Module 10: Writing User Functions in Python Module 11: Sending Mail Module 12: Import Tricks in Python Module 13: Import Operating System and Platform Module 14: Exceptions Handling in Python Module 15: Installing Packages and Scheduling in Python Module 16: Database in Python Using SQLite Module 17: Running Programs from Command Prompt and Jupyter Notebook Module 18: Conclusion (See full curriculum) Who is this course for? Individuals seeking to develop a foundational understanding of Python programming. Professionals aiming to enhance their programming skills for career advancement. Beginners with an interest in software development, data analysis, or automation. Anyone looking to pursue a career in programming or technology. Career Path Software Developer Data Analyst Automation Engineer Python Programmer Database Administrator IT Specialist

IELTS Exam Preparation Course Overview This IELTS Exam Preparation course is designed to equip learners with the essential skills needed to excel in the IELTS exam. Covering all four sections of the test—listening, reading, writing, and speaking—the course provides in-depth insights into the format and structure of the test. Learners will develop strong English language skills, ensuring they are well-prepared for each section of the exam. By the end of the course, learners will gain confidence in their ability to manage time, understand test requirements, and perform under exam conditions. With expert guidance and structured content, this course aims to help learners achieve their desired IELTS band score. Course Description This course delves into each component of the IELTS exam, helping learners understand its format and assess their strengths and weaknesses. The grammar modules focus on essential areas such as sentence structure, punctuation, and capitalisation to ensure learners can effectively communicate their ideas. The listening, reading, writing, and speaking modules are tailored to build specific skills required for each section of the exam, guiding learners through practice exercises and strategies for optimal performance. Through engaging lessons and mock tests, learners will gain a clear understanding of what is expected in the IELTS exam and how to approach each section with confidence. The course also includes practical advice on preparing for the test, managing exam stress, and performing well under timed conditions. IELTS Exam Preparation Curriculum Module 01: Introduction to IELTS Module 02: IELTS Test Format Module 03: Grammar for IELTS: Basics of Grammar Module 04: Grammar for IELTS: The Basics of Sentence Module 05: Grammar for IELTS: Structure of Sentence Module 06: Grammar for IELTS: Punctuation & Capitalisation Module 07: The Listening Section Module 08: The Reading Section [Academic] Module 09: The Writing Section [Academic] Module 10: The Speaking Section Module 11: IELTS [General Training] Module 12: IELTS Life Skills Module 13: What To Do Before The IELTS Test? Module 14: IELTS Full-length Practice Tests (See full curriculum) Who is this course for? Individuals seeking to achieve a high band score in the IELTS exam. Professionals aiming to meet English language proficiency requirements for work or study. Beginners with an interest in pursuing international education or career opportunities. Those preparing for the IELTS exam as part of their visa application process. Career Path International student in higher education. Migration consultant or advisor. Professional in need of an English language proficiency qualification. Candidate for job roles requiring IELTS certification for global organisations.

Google Ads Training: Turn Profit with PPC Course Overview This Google Ads Training course provides learners with comprehensive insights into running successful Pay-Per-Click (PPC) campaigns using Google Ads. From creating your first Google Ads account to mastering advanced strategies like remarketing and conversion tracking, this course equips you with the essential skills to optimise your campaigns and maximise profitability. With a clear focus on understanding Google Ads’ dynamic system, learners will gain the confidence to structure and refine their ads to attract the right audience, control costs, and drive measurable results. Upon completion, you will be ready to launch, optimise, and scale your own Google Ads campaigns. Course Description The course covers every aspect of Google Ads, starting from the basics, such as account creation and setting up billing, to advanced techniques, including optimising ad structure and bidding strategies. You'll learn how to identify effective keywords, write compelling ads, and use ad extensions to boost visibility. The course delves into account structure, the Google Ads auction dynamics, negative keywords, and remarketing strategies, all crucial for increasing conversion rates. You’ll also explore conversion tracking, ad optimisation, and automated tools like AdWords scripts to speed up performance enhancements. By the end, you'll be proficient in managing Google Ads campaigns that deliver high returns. Google Ads Training: Turn Profit with PPC Curriculum Module 01: Introduction to Google Ads Module 02: Creating and Setting Up Our First Google Ads Account Module 03: Structuring Your Ad Groups Like A Professional Module 04: How To Write Killer Ads in Google Ads! Module 05: Setting Up Your AdWords Billing Module 06: Keywords in Depth - The Heartbeat of Your Account Module 07: Account Structure - How To Structure Ad Groups Like A Pro Module 08: The Incredible Dynamics of the AdWords Auction Module 09: Expanding And Refining Your Campaigns Module 10: Negative Keywords - Your Greatest Ally Module 11: Making Your Ads Unstoppable With Multiple Ad Extensions Module 12: Remarketing – Your Secret Weapon To Converting Like A Boss Module 13: Keeping Track of Profits With Conversion Tracking Module 14: Profitable Bidding Strategies Module 15: Using AdWords Scripts To Enhance Performance and Increase Optimisation Speed Module 16: Conclusion ... Goodbye For Now! Module 17: Bonus Material! (See full curriculum) Who is this course for? Individuals seeking to master Google Ads for business or personal use. Professionals aiming to advance their digital marketing skills. Beginners with an interest in online advertising. Entrepreneurs looking to optimise their ad campaigns. Career Path Digital Marketing Specialist PPC Campaign Manager Google Ads Strategist E-commerce Marketing Manager Paid Media Analyst Online Advertising Consultant

Course Overview: The Adult Nursing course offers a comprehensive foundation for those seeking a career in nursing, providing learners with essential knowledge and skills for adult healthcare. Covering a wide range of topics, from the legal and ethical aspects of nursing practice to practical issues like pain management and infection control, this course ensures that learners gain the expertise needed to excel in various healthcare environments. Through detailed modules, learners will explore the roles and responsibilities of nurses, the complexities of adult care, and key nursing principles. Upon completion, learners will be well-prepared to contribute effectively to patient care, enhancing their capabilities in diverse healthcare settings. Course Description: This course covers critical topics necessary for the competent practice of adult nursing. Learners will explore healthcare settings, legal frameworks, and ethical considerations in nursing, building a solid understanding of professional standards. The curriculum includes comprehensive modules on infection control, pain management, fluid balance, and more, providing essential knowledge for a well-rounded nursing career. Learners will engage with the core concepts of communication, health and safety, hygiene, and mobility, ensuring they are prepared to meet the challenges of adult care. By the end of the course, learners will possess the skills required to manage patient care in a variety of contexts, making them valuable assets in the healthcare workforce. Course Modules: Module 01: Introduction to Nursing Module 02: Working in Different Healthcare Settings Module 03: Understanding Legal, Professional Standards of Practice and Ethical Aspects of Health Care - Part 1 Module 04: Understanding Legal, Professional Standards of Practice and Ethical Aspects of Health Care - Part 2 Module 05: Effective Communication in Nursing Module 06: Health and Safety in Nursing Module 07: Hygiene in Nursing Module 08: Infection Control Module 09: Asepsis in Nursing Module 10: Medication Administration in Nursing Module 11: Adult Care in Different Life Stages Module 12: Understanding Immune System in Nursing Module 13: Rest and Sleep Management in Nursing Module 14: Mobility and Immobility Issues of Patients in Nursing Module 15: Pain Management for Nurses Module 16: Nutrition in Nursing Module 17: Fluid and Electrolyte Balance Module 18: Assisting with Elimination Module 19: Oxygenation in Nursing (See full curriculum) Who is this course for? Individuals seeking to enter the nursing profession. Professionals aiming to expand their expertise in adult healthcare. Beginners with an interest in healthcare and nursing. Those looking to understand essential nursing concepts for career development. Career Path Registered Nurse (RN) Healthcare Assistant Nurse Practitioner Adult Care Specialist Medical/Surgical Nurse Community Health Nurse Healthcare Administrator Clinical Nurse Educator

Mindfulness Meditation for Daily Life Course Overview: This course introduces mindfulness meditation techniques that can be integrated into daily life to cultivate a deeper sense of peace, awareness, and presence. Learners will explore a series of meditative practices, each designed to enhance mental clarity, emotional resilience, and physical well-being. By applying mindfulness to everyday activities, participants can expect to improve their ability to manage stress, enhance focus, and foster a deeper connection to themselves and others. This course provides a valuable toolkit for anyone seeking to live more mindfully and in tune with the present moment. Course Description: "Mindfulness Meditation for Daily Life" offers a comprehensive guide to incorporating mindfulness practices into everyday routines. This course covers a range of meditative exercises, from breathwork to sensation tracking, each designed to deepen awareness and increase emotional and mental clarity. Learners will be guided through a series of exercises that encourage self-reflection, self-love, and inner peace. The course also includes practical techniques for aligning speech with integrity, cultivating mindfulness in relationships, and embracing the present moment. Upon completion, participants will have developed skills to manage stress, enhance focus, and live with greater emotional balance and awareness. Mindfulness Meditation for Daily Life Curriculum: Module 01: Introduction: Let’s begin the journey to true love! Module 02: Mindfulness Practice 01: Breath – a doorway to freedom! Module 03: Meditation 02: Are you ready to fall in love with your body as a sacred temple? Module 04: Practice 03: Discover the mystery of the present through sensation tracking Module 05: Practice 04: If you like freedom this practice is for you! Module 06: Practice 05: Opening to the Secret of the Magical Pause Module 07: Practice 06: Lining Up Your Speech with Integrity Module 08: Practice 07: Dropping Down Into the Mystery of the Golden Realms Module 09: Practice 08: A Return to the Bliss of Self-Love Module 10: Now You’re Ready to Dive Into Practice – A Review of it All Module 11: Bonus – Relating to Family In Present Time – Yes you can do it! Module 12: Guided Meditation: ‘Open Your Heart & Experience Unconditional Love’ Module 13: Guided Meditation: ‘The Awakened Body’ (See full curriculum) Who is this course for? Individuals seeking to cultivate mindfulness in their daily lives. Professionals aiming to enhance focus and emotional well-being. Beginners with an interest in meditation and mindfulness. Anyone interested in managing stress and improving mental clarity. Career Path: Mindfulness Coach Meditation Practitioner Wellness Consultant Stress Management Specialist Personal Development Coach Corporate Wellness Coordinator

Duration 3 Days 18 CPD hours This course is intended for Project team members & Consultants In this course, students become familiar with logistics invoice verification as the final stage in the external procurement process. Students also learn how to enter invoices relating to purchase orders, block them, and release them for payment. Course Outline Introduction to invoice verification Invoice entry and parking Taxes, cash discounts, and foreign currency Invoices for purchase orders with account assignment Variances with and without reference to an item, invoice blocking reasons Invoice reduction, releasing blocked invoices Delivery costs Subsequent debits and credits Credit memos and cancellations Invoice verification in the background Automated processing GR/IR clearing account maintenance Customizing for invoice verification

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Data platform engineers Architects and operators who build and manage data analytics pipelines Overview In this course, you will learn to: Compare the features and benefits of data warehouses, data lakes, and modern data architectures Design and implement a batch data analytics solution Identify and apply appropriate techniques, including compression, to optimize data storage Select and deploy appropriate options to ingest, transform, and store data Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights Secure data at rest and in transit Monitor analytics workloads to identify and remediate problems Apply cost management best practices In this course, you will learn to build batch data analytics solutions using Amazon EMR, an enterprise-grade Apache Spark and Apache Hadoop managed service. You will learn how Amazon EMR integrates with open-source projects such as Apache Hive, Hue, and HBase, and with AWS services such as AWS Glue and AWS Lake Formation. The course addresses data collection, ingestion, cataloging, storage, and processing components in the context of Spark and Hadoop. You will learn to use EMR Notebooks to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon EMR. Module A: Overview of Data Analytics and the Data Pipeline Data analytics use cases Using the data pipeline for analytics Module 1: Introduction to Amazon EMR Using Amazon EMR in analytics solutions Amazon EMR cluster architecture Interactive Demo 1: Launching an Amazon EMR cluster Cost management strategies Module 2: Data Analytics Pipeline Using Amazon EMR: Ingestion and Storage Storage optimization with Amazon EMR Data ingestion techniques Module 3: High-Performance Batch Data Analytics Using Apache Spark on Amazon EMR Apache Spark on Amazon EMR use cases Why Apache Spark on Amazon EMR Spark concepts Interactive Demo 2: Connect to an EMR cluster and perform Scala commands using the Spark shell Transformation, processing, and analytics Using notebooks with Amazon EMR Practice Lab 1: Low-latency data analytics using Apache Spark on Amazon EMR Module 4: Processing and Analyzing Batch Data with Amazon EMR and Apache Hive Using Amazon EMR with Hive to process batch data Transformation, processing, and analytics Practice Lab 2: Batch data processing using Amazon EMR with Hive Introduction to Apache HBase on Amazon EMR Module 5: Serverless Data Processing Serverless data processing, transformation, and analytics Using AWS Glue with Amazon EMR workloads Practice Lab 3: Orchestrate data processing in Spark using AWS Step Functions Module 6: Security and Monitoring of Amazon EMR Clusters Securing EMR clusters Interactive Demo 3: Client-side encryption with EMRFS Monitoring and troubleshooting Amazon EMR clusters Demo: Reviewing Apache Spark cluster history Module 7: Designing Batch Data Analytics Solutions Batch data analytics use cases Activity: Designing a batch data analytics workflow Module B: Developing Modern Data Architectures on AWS Modern data architectures