8538 Courses

Duration 5 Days 30 CPD hours This course is intended for Software Engineers Senior Software Engineers Java Developers DevOps Engineers Software Developers .NET Developers Systems Engineers Full Stack Developers Full Stack Java Developers Data Scientists Overview By the end of the course, you should be able to meet the following objectives: Describe the software-defined data center (SDDC) Explain the vSphere components and their function in the infrastructure Install and configure VMware ESXi™ hosts Deploy and configure VMware vCenter Server Appliance™ Use VMware vSphere Client™ to manage the vCenter Server inventory and the vCenter Server configuration Manage, monitor, back up, and protect vCenter Server Appliance Create virtual networks with vSphere standard switches Describe the storage technologies supported by vSphere Configure virtual storage using iSCSI and NFS storage Create and manage VMware vSphere VMFS datastores Use the vSphere Client to create virtual machines, templates, clones, and snapshots Create a content library and deploy virtual machines from templates in the library Manage virtual machine resource use Migrate virtual machines with VMware vSphere vMotion and VMware vSphere Storage vMotion Create and manage a vSphere cluster that is enabled with VMware vSphere High Availability and VMware vSphere Distributed Resource Scheduler™ Discuss solutions for managing the vSphere life cycle Use VMware vSphere Update Manager™ to apply patches and perform upgrades to ESXi hosts and virtual machines This five-day course features intensive hands-on training that focuses on installing, configuring, and managing VMware vSphere© 7, which includes VMware ESXi? 7 and VMware vCenter Server© 7. This course prepares you to administer a vSphere infrastructure for an organization of any size. This course is the foundation for most of the other VMware technologies in the software-defined data center Course Introduction Introductions and course logistics Course objectives Introduction to vSphere and the Software-Defined Data Center Explain basic virtualization concept Describe how vSphere fits into the software-defined data center and the cloud infrastructure Explain how vSphere interacts with CPUs, memory, networks, and storage Recognize the user interfaces for accessing the vCenter Server system and ESXi hosts Use VMware Host Client? to access and manage ESXi host Virtual Machines Create and remove a virtual machine Provision a virtual machine with virtual devices Identify the files that make up a virtual machine Explain the importance of VMware Tools vCenter Server Describe the vCenter Server architecture Discuss how ESXi hosts communicate with vCenter Server Deploy and configure vCenter Server Appliance Use the vSphere Client to manage the vCenter Server inventory Add data center, organizational objects, and hosts to vCenter Server Use roles and permissions to enable users to access objects in the vCenter Server inventory Back up vCenter Server Appliance Monitor vCenter Server tasks, events, and appliance health Use vCenter Server High Availability to protect a vCenter Server Appliance Configuring and Managing Virtual Networks Create and manage standard switches Describe the virtual switch connection types Configure virtual switch security, traffic-shaping and load-balancing policies Compare vSphere distributed switches and standard switches Configuring and Managing Virtual Storage Identify storage protocols and storage device types Discuss ESXi hosts using iSCSI, NFS, and Fibre Channel storage Create and manage VMFS and NFS datastores Explain how multipathing works with iSCSI, NFS, and Fibre Channel storage Deploy virtual machines on a VMware vSAN? datastore Virtual Machine Management Use templates and cloning to deploy new virtual machines Modify and manage virtual machines Create a content library and deploy virtual machines from templates in the library Dynamically increase the size of a virtual disk Use customization specification files to customize a new virtual machine Perform vSphere vMotion and vSphere Storage vMotion migrations Create and manage virtual machine snapshots Examine the features and functions of VMware vSphere© Replication? Resource Management and Monitoring Discuss CPU and memory concepts in a virtualized environment Describe what overcommitment of a resource means Describe methods for optimizing CPU and memory usage Use various tools to monitor resource use Create and use alarms to report certain conditions or events vSphere Clusters Describe options for making a vSphere environment highly available Explain the vSphere HA architecture Configure and manage a vSphere HA cluster Examine the features and functions of VMware vSphere© Fault Tolerance Configure a vSphere cluster using ESXi Cluster Quickstart Describe the functions of a vSphere DRS cluster Create a vSphere DRS cluster vSphere Lifecycle Management Describe how VMware vSphere© Lifecycle Manager? works Use vSphere Lifecycle Manager to update ESXi hosts in a cluster Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware vSphere: Install, Configure, Manage [v7.0] 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 VMware vSphere: Install, Configure, Manage [v7.0] 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 Cloud architects, systems engineers, data center administrators, and cloud administrators with experience in a service provider or managed services environment. Overview By the end of the course, you should be able to meet the following objectives: Describe how VMware Integrated OpenStack fits into the VMware SDDC and its use cases List the deployment options and how to install VMware Integrated OpenStack Describe the architecture of VMware Integrated OpenStack and its components Configure tenancy and manage user authentication Integrate the OpenStack Neutron Networking service with VMware NSX-T™ Data Center networking platform Deploy and manage virtual machine instances Monitor VMware Integrated OpenStack with OpenStack monitoring services Design an auto-scale, multitier application using built-in automation tools Manage a VMware Integrated OpenStack control plane using Kubernetes Use the HTML5 Web UI and CLI commands to view and edit the configuration, monitor log files, and view database tables used by VMware Integrated OpenStack components This five-day course provides you with the skills to build a private cloud using VMware© Integrated OpenStack on a proven VMware SDDC. Through a combination of lecture and hands-on labs, this course builds your skills in installing, configuring, and managing VMware Integrated OpenStack. You learn how to offer IaaS and PaaS with advanced networking and security features to end users using VMware Integrated OpenStack. Course Introduction Introductions and course logistics Course objectives References and resources Introduction to VMware Integrated OpenStack Describe what an OpenStack is Describe the services that make up VMware Integrated OpenStack Describe what VMware Integrated OpenStack is Describe what is NFV and how does VIO fit in Understand the licensing model of VIO Understand the use cases of VMware Integrated OpenStack VMware Integrated OpenStack Deployment Understand the role of Kubernetes in the VIO control plane List the VMware Integrated OpenStack deployment models How to perform VIO high-availability deployment How to perform VIO compact installation Pre-requisites for installing VMware Integrated OpenStack How to use the HTML5 web UI / VIOCLI to check the deployment configurations and deployment running status Explain steps involved in patching VIO high availability setup VMware Integrated OpenStack Architecture List the VMs deployed after a VMware Integrated OpenStack high-availability installation Describe the overall architecture of the VIO HA setup List the VIO services running within Kubernetes pods Describe the role of each service Understand ssl certificates in VIO Keystone Authentication Understand keystone use cases and services List the features offered by keystone in VIO How to integrate keystone with LDAP List the configuration, view logs, and database tables related to keystone Glance Images Understand Glance use case and its services List the features offered by Glance in VIO Explain how to create flavors and images Describe how to set up metadata, for example SPBM storage policy List the custom resources/logs and database tables related to Glance Networking with Neutron Understand the Neutron use case and its services Integrate Neutron with NSX-T Data Center List the custom resources, logs, and database tables related to Neutron Managing Instances with Nova Understand Nova use cases and services Understand regions, availability zones, and host aggregates Understand the concept of tenant VDC Nova support for multiple vCenter instances How to deploy an instance using Nova How to resize an instance and view the console logs Configuration and logs related to Nova service Cinder Block Storage Understand Cinder use cases and services List the features offered by Cinder Adding a persistent volume to an instance Explain the Snapshot of a Cinder volume and attach it to another instance List the custom resources, log files, and database tables related to Cinder Monitoring with Ceilometer List the Telemetry use cases and services How to enable Ceilometer in VIO How to monitor the VIO environment using Ceilometer Configuration and log files related to Ceilometer service Automating with Heat Define Heat use cases templates and services Describe use cases of Heat Troubleshooting Concepts List common issues in VMware Integrated OpenStack Use troubleshooting tools Describe simple troubleshooting procedures List and explain Day-2 operations Advanced Features Describe Load Balancer as a Service (Octavia) Explain Firewall as a Service Describe Designate (DNS as a Service) Demonstrate automating scaling Describe selective vCPU pinning Explain SRIOV network redundancy support Describe network trunk services support Describe Live resize Describe hardware passthrough (GPU pass through) Describe external REST API Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware Integrated Openstack: Install, Configure, Manage [V7] 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 VMware Integrated Openstack: Install, Configure, Manage [V7] 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 geared for experienced skilled Java developers, software developers, data scientists, machine learning experts or others who wish to transtion their coding skills to Scala, learning how to code in Scala and apply it in a practical way. This is not a basic class. Overview Working in a hands-on learning environment led by our expert instructor you'll: Get comfortable with Scala's core principles and unique features, helping you navigate the language confidently and boosting your programming skills. Discover the power of functional programming and learn techniques that will make your code more efficient, maintainable, and enjoyable to write. Become proficient in creating dynamic web applications using the Play Framework, and easily connect to databases with the user-friendly Slick library. Master concurrency programming with Akka, empowering you to build scalable and fault-tolerant applications that excel in performance. Enhance your testing skills using ScalaTest and ScalaCheck, ensuring the reliability and quality of your Scala applications, while having fun in the process. Explore the fascinating world of generative AI and GPT technologies, and learn how to integrate them into your projects, adding a touch of innovation and intelligence to your Scala solutions. If your team requires different topics, additional skills or a custom approach, our team will collaborate with you to adjust the course to focus on your specific learning objectives and goals. Discover the power of Scala programming in our comprehensive, hands-on technical training course designed specifically for experienced object-oriented (OO) developers. Scala is a versatile programming language that combines the best of both OO and functional programming paradigms, making it ideal for a wide range of projects, from web applications to big data processing and machine learning. By mastering Scala, you'll be able to develop more efficient, scalable, and maintainable applications. Fast Track to Scala Programming for OO / Java Developers is a four day hands-on course covers the core principles of Scala, functional programming, web application development, database connectivity, concurrency programming, testing, and interoperability between Scala and Java. Additionally, you'll explore cutting-edge generative AI and GPT technologies, learning how to integrate them into your Scala applications for intelligent suggestions or automation. Throughout the course you?ll explore the latest tools and best practices in the Scala ecosystem, gaining valuable knowledge and experience that can be directly applied to your day-to-day work. With 50% of the course content dedicated to hands-on labs, you'll gain practical experience applying the concepts you've learned across various projects, such as building functional web applications, connecting to databases, designing modular components, and implementing concurrency. Upon completing the course, you'll have a solid understanding of the language and its features, empowering you to confidently apply your new skills in data science and machine learning projects. You'll exit well-prepared to create efficient, scalable, and maintainable Scala applications, regardless of the complexity of your projects. Introduction to Scala Scala features and benefits Comparing Scala with Java and other OO languages Installing Scala and setting up the development environment Object-Oriented Programming in Scala Classes and objects Traits, mixins, and inheritance Companion objects and factories Encapsulation and polymorphism Functional Programming Basics Pure functions and referential transparency Higher-order functions and currying Immutability and persistent data structures Pattern matching and recursion Having Fun with Functional Data Structures Lists, sets, and maps in Scala Folding and reducing operations Stream processing and lazy evaluation For-comprehensions Building Web Applications in Functional Style Introduction to Play Framework Functional web routing and request handling JSON handling with Play-JSON Middleware and functional composition Connecting to a Database Introduction to Slick library Database configuration and setup Querying and updating with Slick Transactions and error handling Building Scalable and Extensible Components Modular architecture and design patterns Dependency injection with MacWire Type classes and type-level programming Implicit parameters and conversions Concurrency Programming & Akka Introduction to Akka framework and Actor model Actor systems and message passing Futures and Promises Supervision and fault tolerance Building Confidence with Testing Introduction to ScalaTest and ScalaCheck Unit testing and property-based testing Test-driven development in Scala Mocking and integration testing Interoperability between Scala and Java Calling Java code from Scala Using Java libraries in Scala projects Converting Java collections to Scala collections Writing Scala code that can be called from Java Using Generative AI and GPT Technologies in Scala Programming Overview of GPT and generative AI Integrating GPT with Scala applications Use cases and practical examples Additional course details: Nexus Humans Fast Track to Scala Programming Essentials for OO / Java Developers (TTSCL2104) 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 Fast Track to Scala Programming Essentials for OO / Java Developers (TTSCL2104) 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.

Data Analysis: Data Analysis Training Have you ever wondered how companies get insights from massive volumes of data to stay competitive and make wise decisions? If so, then participate in our exclusive Data Analysis: Data Analysis Course. This Data Analysis Course describes the fundamentals of data, statistics, and an introduction to Data Analysis. How to get data and where to find it is explained in the Data Analysis Course. Moreover, this Data Analysis Course covers data cleansing, preprocessing, and exploratory data analysis (EDA). Additionally, the Data Analysis Course provides an introduction to Python and Excel for Data Analysis. This thorough Data Analysis Course includes lessons on data wrangling with Pandas (python) and data visualisation using Matplotlib and Seaborn (python). Enrol in our Data Analysis Course to study the fundamentals of statistical analysis and machine learning. Main Course: Data Analysis (Data Analytics) Training Free Courses included with Data Analysis: Data Analysis Training Course: Course 01: Minute Taking Course 02: GDPR Course 03: Cyber Security [ Note: Free PDF certificate as soon as completing the Data Analysis: Data Analysis Training Course] Data Analysis: Data Analysis Training Online This Data Analysis (Data Analytics) Training consists of 12 modules. Curriculum of Data Analysis (Data Analytics) Training Course Module 1: Introduction to Data Analytics Module 2: Basics of Data and Statistics Module 3: Data Collection and Sources Module 4: Data Cleaning and Preprocessing Module 5: Exploratory Data Analysis (EDA) Module 6: Introduction to Excel for Data Analytics Module 7: Introduction to Python for Data Analytics Module 8: Data Wrangling with Pandas (Python) Module 9: Data visualisation with Matplotlib and Seaborn (Python) Module 10: Introduction to Basic Statistical Analysis Module 11: Introduction to Machine Learning Module 12: Capstone Project - Exploratory Data Analysis Assessment Method of Data Analysis (Data Analytics) Training Course After completing Data Analysis: Data Analysis Training Course, you will get quizzes to assess your learning. You will do the later modules upon getting 60% marks on the quiz test. Apart from this, you do not need to sit for any other assessments. Certification of Data Analysis (Data Analytics) Training Course After completing the Data Analysis: Data Analysis Training Course, you can instantly download your certificate for FREE. The hard copy of the certification will also be delivered to your doorstep via post, which will cost £13.99. Who is this course for? Data Analysis: Data Analysis Training Online For business professionals, entrepreneurs, or anybody else looking to have a thorough grasp of data analysis in a commercial setting, this Data Analysis Course is ideal. Requirements Data Analysis: Data Analysis Training Online To enrol in this Data Analysis: Data Analysis Training Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Data Analysis Training Course. Be energetic and self-motivated to complete our Data Analysis Training Course. Basic computer Skill is required to complete our Data Analysis Training Course. If you want to enrol in our Data Analysis Training Course, you must be at least 15 years old. Career path Data Analysis: Data Analysis Training Online This Data Analysis Course will assist you in obtaining positions as a business analyst, marketing analyst, data analysis, and in related fields.

Floristry: Floristry Online Course Do you want to engage in a fascinating floral journey? You may improve your skills in the nuances of this intriguing area of floristry by taking our full Floristry: Floristry course. You will get crucial knowledge about floral concepts and techniques through this floral design curriculum. Giving students a firm understanding of floral methods is the main objective of this floral design course. Once this Floristry: Floristry course is over, you will have the ability to use them in a range of scenarios. The Floristry: Floristry course includes lessons in marketing, customer service, floral design, and flower arrangements. During this floral design course, you will learn how to create wreaths, bouquets, and funeral flowers. Participate in our Floristry: Floristry course to explore the endless career opportunities and learn about the intriguing field of floral design! Main Course: Floristry Course Free Courses included with Floristry: Floristry Course: Course 01: Garden Design & Landscaping Course 02: Level 2 Certificate in Understanding Climate Change and Environmental Awareness [ Note: Free PDF certificate as soon as completing the Floristry: Floristry Course] Floristry: Floristry Online This Floristry: Floristry Course consists of 13 modules. Course Curriculum of Floristry: Floristry Course Module 1: Your Introduction to Floristry Module 2: Careers in Floristry Module 3: Services Provided by Florists Module 4: Starting Your Own Business Module 5: Marketing and Getting Customers Module 6: What You Need to Know About Flowers and Plants Module 7: How to Process, Store and Maintain Plants Module 8: Popular Flowers, Greens, and Fillers Module 9: Flower Design Basics and Styles You Need to Know Module 10: How to Make Floral Arrangements Module 11: Making Other Arrangements and Bouquets Module 12: Wedding Flowers and Bouquets Module 13: Funeral Flowers and Wreaths Assessment Method of Floristry: Floristry Course After completing Floristry: Floristry Course, you will get quizzes to assess your learning. You will do the later modules upon getting 60% marks on the quiz test. Apart from this, you do not need to sit for any other assessments. Certification of Floristry: Floristry Course After completing the Floristry: Floristry Course, you can instantly download your certificate for FREE. The hard copy of the certification will also be delivered to your doorstep via post, which will cost £13.99. Who is this course for? Floristry: Floristry Online A wide range of persons who wish to advance their knowledge and skills in floristry are the target audience for the floristry course. Requirements Floristry: Floristry Course Online To enrol in this Floristry: Floristry Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Floristry: Floristry Course. Be energetic and self-motivated to complete our Floristry: Floristry Course. Basic computer Skill is required to complete our Floristry: Floristry Course. If you want to enrol in our Floristry: Floristry Course, you must be at least 15 years old. Career path Floristry: Floristry Course Online The course on floristry is designed for a broad range of individuals who wish to advance their skills and understanding in the field.

Dressmaking: Dressmaking Course Online Unlock Your Creative Potential and Master the Art of Dressmaking! Are you interested in fashion? Do you want to make your own unique patterns and breathtaking garments? If so, our Dressmaking: Dressmaking Course is the ideal way for you to transform your hobby into a profitable and rewarding profession! With our Dressmaking: Dressmaking Course, you have the freedom to learn whenever and wherever you want. You can study this extensive Dressmaking: Dressmaking Course at your own pace and revisit lessons whenever you need to. Throughout the Dressmaking: Dressmaking Course, you will work on various projects, creating your own unique designs and garments. By the end of this Dressmaking: Dressmaking Course, you will have a comprehensive portfolio that showcases your creativity and technical abilities, setting you apart in the industry. Whether you aspire to start your own fashion label, work in a prestigious design house, or become a sought-after freelance designer, our Dressmaking: Dressmaking Course will equip you with the skills and knowledge to make your dreams a reality. Don't let your passion for fashion go to waste. Enrol in our Dressmaking: Dressmaking Course today and take the first step towards a glamorous and rewarding career in the world of fashion! Main Course: Dressmaking Course Free Courses included with Physiotherapy: Physiotherapy Course: Along with Dressmaking Course you will get free Level 5 Fashion & Beauty Course Along with Dressmaking Course you will get free Salon Management Course Along with Dressmaking Course you will get free Massage Therapy Course Special Offers of this Dressmaking: Dressmaking Course This Dressmaking Course includes a FREE PDF Certificate. Lifetime access to this Dressmaking Course Instant access to this Dressmaking Course 24/7 Support Available to this Dressmaking Course Dressmaking: Dressmaking Course Online This Dressmaking: Dressmaking Course will provide you with a thorough grasp of Dress Making and Fashion Design. You will be taken through the history and concepts of the topic, the development and presentation of ideas, the design process, knowing the materials and tools you will work with, and constructing your own clothing. From the basics of sewing and garment construction to advanced design principles and trend forecasting, our Dressmaking: Dressmaking Course covers everything you need to know to excel in the world of dress making and fashion design. You will learn about fabric selection, pattern making, draping, embellishments, and more. Who is this course for? Dressmaking: Dressmaking Course Online This Dressmaking: Dressmaking Course is intended for those who enjoy fashion and want to learn how to manufacture fashionable outfits and accessories. Requirements Dressmaking: Dressmaking Course Online To enrol in this Dressmaking Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Dressmaking Course. Be energetic and self-motivated to complete our Dressmaking Course. Basic computer Skill is required to complete our Dressmaking Course. If you want to enrol in our Dressmaking Course, you must be at least 15 years old. Career path Dressmaking: Dressmaking Course Online After completing this Dressmaking: Dressmaking Course, you can pursue a variety of fascinating career choices in the fashion industry, such as fashion designer, fashion illustrator, garment technician, fashion merchandiser, stylist, or other similar occupations.

Dressmaking: Dressmaking Course Online Unlock Your Creative Potential and Master the Art of Dressmaking! Are you interested in fashion? Do you want to make your own unique patterns and breathtaking garments? If so, our Dressmaking: Dressmaking Course is the ideal way for you to transform your hobby into a profitable and rewarding profession! With our Dressmaking: Dressmaking Course, you have the freedom to learn whenever and wherever you want. You can study this extensive Dressmaking: Dressmaking Course at your own pace and revisit lessons whenever you need to. Throughout the Dressmaking: Dressmaking Course, you will work on various projects, creating your own unique designs and garments. By the end of this Dressmaking: Dressmaking Course, you will have a comprehensive portfolio that showcases your creativity and technical abilities, setting you apart in the industry. Whether you aspire to start your own fashion label, work in a prestigious design house, or become a sought-after freelance designer, our Dressmaking: Dressmaking Course will equip you with the skills and knowledge to make your dreams a reality. Don't let your passion for fashion go to waste. Enrol in our Dressmaking: Dressmaking Course today and take the first step towards a glamorous and rewarding career in the world of fashion! Main Course: Dressmaking Course Free Courses included with Physiotherapy: Physiotherapy Course: Along with Dressmaking Course you will get free Level 5 Fashion & Beauty Course Along with Dressmaking Course you will get free Salon Management Course Along with Dressmaking Course you will get free Massage Therapy Course Special Offers of this Dressmaking: Dressmaking Course This Dressmaking Course includes a FREE PDF Certificate. Lifetime access to this Dressmaking Course Instant access to this Dressmaking Course 24/7 Support Available to this Dressmaking Course Dressmaking: Dressmaking Course Online This Dressmaking: Dressmaking Course will provide you with a thorough grasp of Dress Making and Fashion Design. You will be taken through the history and concepts of the topic, the development and presentation of ideas, the design process, knowing the materials and tools you will work with, and constructing your own clothing. From the basics of sewing and garment construction to advanced design principles and trend forecasting, our Dressmaking: Dressmaking Course covers everything you need to know to excel in the world of dress making and fashion design. You will learn about fabric selection, pattern making, draping, embellishments, and more. Who is this course for? Dressmaking: Dressmaking Course Online This Dressmaking: Dressmaking Course is intended for those who enjoy fashion and want to learn how to manufacture fashionable outfits and accessories. Requirements Dressmaking: Dressmaking Course Online To enrol in this Dressmaking Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Dressmaking Course. Be energetic and self-motivated to complete our Dressmaking Course. Basic computer Skill is required to complete our Dressmaking Course. If you want to enrol in our Dressmaking Course, you must be at least 15 years old. Career path Dressmaking: Dressmaking Course Online After completing this Dressmaking: Dressmaking Course, you can pursue a variety of fascinating career choices in the fashion industry, such as fashion designer, fashion illustrator, garment technician, fashion merchandiser, stylist, or other similar occupations.

Learning Outcomes After completing this course, learners will be able to: Learn Python for data analysis using NumPy and Pandas Acquire a clear understanding of data visualisation using Matplotlib, Seaborn and Pandas Deepen your knowledge of Python for interactive and geographical potting using Plotly and Cufflinks Understand Python for data science and machine learning Get acquainted with Recommender Systems with Python Enhance your understanding of Python for Natural Language Processing (NLP) Description Whether you are from an engineering background or not you still can efficiently work in the field of data science and the machine learning sector, if you have proficient knowledge of Python. Since Python is the easiest and most used programming language, you can start learning this language now to advance your career with the Data Science And Machine Learning Using Python : A Bootcamp course. This course will give you a thorough understanding of the Python programming language. Moreover, it will show how can you use Python for data analysis and machine learning. Alongside that, from this course, you will get to learn data visualisation, and interactive and geographical plotting by using Python. The course will also provide detailed information on Python for data analysis, Natural Language Processing (NLP) and much more. Upon successful completion of this course, get a CPD- certificate of achievement which will enhance your resume and career. Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment After completing this course, you will be provided with some assessment questions. To pass that assessment, you need to score at least 60%. Our experts will check your assessment and give you feedback accordingly. Career Path After completing this course, you can explore various career options such as Web Developer Software Engineer Data Scientist Machine Learning Engineer Data Analyst In the UK professionals usually get a salary of £25,000 - £30,000 per annum for these positions. Course Content Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Machine Learning using Python : A Bootcamp 00:00:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Duration 5 Days 30 CPD hours This course is intended for This introductory-level Python course is geared for experienced users who want to use Python in web development projects, or system administrators and web site administrators who want to use Python to support their server installations, as well as anyone else who wants to automate or simplify common tasks with the use of Python scripts. Basic familiarity with any programming or scripting language would be helpful, along with a working, user-level knowledge of Unix/Linux, Mac, or Windows. Overview This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Throughout the hands-on course students, will learn to write essential Python scripts using the most current and efficient skills and techniques. Working in a hands-on learning environment, guided by our expert team, attendees will learn to: Create working Python scripts following best practices Use python data types appropriately Read and write files with both text and binary data Search and replace text with regular expressions Get familiar with the standard library and its work-saving modules Use lesser known but powerful Python data types Create 'real-world', professional Python applications Work with dates, times, and calendars Know when to use collections such as lists, dictionaries, and sets Understand Pythonic features such as comprehensions and iterators Write robust code using exception handling Mastering Python Programming is an introductory and beyond-level practical, hands-on Python training course that leads the student from the basics of writing and running Python scripts to more advanced features such as file operations, regular expressions, working with binary data, and using the extensive functionality of Python modules. Extra emphasis is placed on features unique to Python, such as tuples, array slices, and output formatting. 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. An overview of Python What is python? Python Timeline Advantages/Disadvantages of Python Getting help with pydoc The Python Environment Starting Python Using the interpreter Running a Python script Python scripts on Unix/Windows Editors and IDEs Getting Started Using variables Builtin functions Strings Numbers Converting among types Writing to the screen Command line parameters Flow Control About flow control White space Conditional expressions Relational and Boolean operators While loops Alternate loop exits Array types About array types (AKA sequences) Lists and list methods Tuples Indexing and slicing Iterating through a sequence Nested sequences Sequence functions, keywords, and operators List comprehensions Generator Expressions Working with files File overview Opening a text file Reading a text file Writing to a text file Reading and writing raw (binary) data Converting binary data with struct Dictionaries and Sets About dictionaries Creating dictionaries Iterating through a dictionary About sets Creating sets Working with sets Functions Defining functions Parameters Global and local scope Nested functions Returning values Sorting The sorted() function Alternate keys Lambda functions Sorting collections Using operator.itemgetter() Reverse sorting Errors and Exception Handling Syntax errors Exceptions Using try/catch/else/finally Handling multiple exceptions Ignoring exceptions Modules and Packages The import statement Module search path Creating Modules Using packages Function and Module aliases An Introduction to Python Classes About o-o programming Defining classes Constructors Methods Instance data Properties Class methods and data Regular Expressions RE syntax overview RE Objects Searching and matching Compilation flags Groups and special groups Replacing text Splitting strings Using the Standard Library The sys module Launching external programs Math functions Random numbers Reading CSV data Dates and Times Working with dates and times Translating timestamps Parsing dates from text Formatting dates Calendar data Working with the File System Paths, directories, and filenames Checking for existence Permissions and other file attributes Walking directory trees Creating filters with fileinput Using shutil for file operations Advanced Data Handling Defaultdict and Counter Prettyprinting data structures Compressed archives (zip, gzip, tar, etc.) Persistent data Network Programming Using requests Grabbing web content Sending email Using SSH for remote access Using FTP Writing real-life applications Reading input files a la Unix Parsing command-line options Detecting the current platform Implementing logging Additional course details: Nexus Humans Mastering Python Programming (TTPS4820) 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 Mastering Python Programming (TTPS4820) 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 audiences for this course are the following: • Operators of Juniper Networks security solutions, including network engineers, administrators, support personnel, and resellers. Overview After successfully completing this course, you should be able to: Identify security challenges in today's networks. Identify products that are incorporated into the Juniper Connected Security solution. Explain the value of implementing security solutions. Explain how Juniper Connected Security solves the cyber security challenges of the future. Explain SRX Series session management. Explain Junos ALG functions and when to use them. Describe policy logging on the SRX series device. Explain security policy scheduling. Describe application security theory. Explain application signature usage in AppID. Describe the AppTrack service. Describe the AppFW service. Describe the AppQoS service. Configure security policies using the AppSecure suite of services. Explain unified security policies. Describe IPS signatures. Configure an IPS policy using pre-defined templates. Describe how to update the IPS attack object database. Describe IPS rules and rule bases. Configure custom attack objects. Describe Junos Space and Security Director. Configure policy management using Security Director. Describe Security Director objects. Explain the different licensing options for Sky ATP List Sky ATP's features and benefits. Configure Sky ATP profiles and enroll an SRX Series device. Configure file scanning on Sky ATP. Configure Sky ATP to scan email Configure GeoIP on Sky ATP. Describe the JATP features and benefits List the JATP device options. Explain the JATP architecture. List 3rd party support options for JATP. Explain JATP SmartCore analytics processes. Describe Policy Enforcer configuration options. Describe Policy Enforcer integration with Sky ATP. Configure Policy Enforcer to block lateral malware movement. Explain Juniper Secure Analytics features and benefits. Describe JSA log collection. Describe JSA network flow collection. Describe the JSA Offense Management workspace. Explain the JSA Risk Manager features. Configure JSA to collect network and log collection. Explain the features of JIMS. Describe JIMS integration into the current AD network. Describe the Sky Enterprise service and how it can save resources. Explain the Sky Enterprise monitoring service. Explain the vSRX Series device benefits. Describe use cases for the vSRX. Explain the cSRX Series device benefits. Describe use cases for the cSRX. Describe SSL Proxy Concepts. Explain Forward and Reverse Proxy and the limitations of each. Configure both Forward and Reverse Proxy. This five-day course uses the Junos J-Web, CLI, Junos Space, and other user interfaces to introduce students to the concept of Juniper Connected Security. Chapter 1: Course Introduction Course Introduction Chapter 2: CLI Overview User Interface Options Command-Line Interface Initial Configuration Interface Configuration Lab 1: CLI Overview Chapter 3: Advanced Security Policy Session Management Junos ALGs Policy Scheduling Policy Logging Lab 2: Advanced Security Policy Chapter 4: Application Security Theory Application ID Application Signatures App Track App Firewall App QoS App QoE Chapter 5: Application Security Implementation AppTrack Implementation AppFW Implementation AppQos Implementation APBR Implementation Lab 3: Application Security Chapter 6: Intrusion Detection and Prevention IPS Overview IPS Policy Attack Objects IPS Configuration IPS Monitoring Lab 4: Implementing IPS Chapter 7: Security Director Overview Security Director Objects Security Director Policy Management Lab 5: Security Director Chapter 8: Sky ATP Implementation Architecture and Key Components Features and Benefits Configuration Compromised Hosts Command and Control File Scanning E-mail Scanning Geo IP Security Policy Integration Troubleshooting Lab 6: Sky ATP Implementation Chapter 9: Policy Enforcer Policy Enforcer Concepts Configuration Options Policy Enforcer Installation Lab 7: Policy Enforcer Chapter 10: JATP Overview Traffic Inspection Threat Detection Threat Analysis JATP Architecture Chapter 11: JATP Implementation Data Collectors Configure SmartCore Analytics Engine Log Ingestion Incident Management SRX Threat Prevention 3rd Party support for Threat Prevention Reporting Lab 8: JATP Chapter 12: Juniper Secure Analytics (JSA) JSA Overview Data Collection Log Analytics Threat Analytics Vulnerability Management Risk Management Lab 9: JSA Chapter 13: JIMS JIMS Overview JIMS Integration Lab 10: JIMS Chapter 14: vSRX and cSRX vSRX Overview vSRX Supported Features vSRX Use Cases cSRX Overview Lab 11: vSRX Installation Chapter 15: SSL Proxy SSL Proxy Overview SSL Concepts SSL Proxy Configurations Troubleshooting Lab 12: SSL Proxy Chapter 16: Cluster Concepts Chassis Cluster Concepts Chassis Cluster Operation Chapter 17: Chassis Cluster Implementation Chassis Cluster Configuration Chassis Cluster Advanced Options Lab 13: Chassis Cluster Implementation Chapter 18: Chassis Cluster Troubleshooting Chassis Cluster Case Studies Troubleshooting Examples Lab 14: Chassis Cluster Troubleshooting Additional course details: Nexus Humans JSEC - Junos Security 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 JSEC - Junos Security 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.