2379 Programming courses in Chigwell delivered Online

Duration 5 Days 30 CPD hours This course is intended for Data center administrators Data center engineers Systems engineers Server administrators Network managers Cisco integrators and partners Data center designers Technical solutions architects Network architects Overview After taking this course, you should be able to: Describe the foundations of data center networking Describe Cisco Nexus products and explain the basic Cisco NX-OS functionalities and tools Describe Layer 3 first-hop redundancy Describe Cisco FEX connectivity Describe Ethernet port channels and vPCs Introduce switch virtualization, machine virtualization, and describe network virtualization Compare storage connectivity options in the data center Describe Fibre Channel communication between the initiator server and the target storage Describe Fibre Channel zone types and their uses Describe NPV and NPIV Describe data center Ethernet enhancements that provide a lossless fabric Describe FCoE Describe data center server connectivity Describe Cisco UCS Manager Describe the purpose and advantages of APIs Describe Cisco ACI Describe the basic concepts of cloud computing The Understanding Cisco Data Center Foundations (DCFNDU) v1.1 course helps you prepare for entry-level data center roles. In this course, you will learn the foundational knowledge and skills you need to configure Cisco© data center technologies including networking, virtualization, storage area networking, and unified computing. You will get an introduction to Cisco Application Centric Infrastructure (Cisco ACI), automation and cloud computing. You will get hands-on experience with configuring features on Cisco Nexus Operating System (Cisco NX-OS) and Cisco Unified Computing System (Cisco UCS). This course does not lead directly to a certification exam, but it does cover foundational knowledge that can help you prepare for several CCNP and other professional-level data center courses and exams. Describing the Data Center Network Architectures Cisco Data Center Architecture Overview Three-Tier Network: Core, Aggregation, and Access Spine-and-Leaf Network Two-Tier Storage Network Describing the Cisco Nexus Family and Cisco NX-OS Software Cisco Nexus Data Center Product Overview Cisco NX-OS Software Architecture Cisco NX-OS Software CLI Tools Cisco NX-OS Virtual Routing and Forwarding Describing Layer 3 First-Hop Redundancy Default Gateway Redundancy Hot Standby Router Protocol Virtual Router Redundancy Protocol Gateway Load Balancing Protocol Describing Cisco FEX Server Deployment Models Cisco FEX Technology Cisco FEX Traffic Forwarding Cisco Adapter FEX Describing Port Channels and vPCs Ethernet Port Channels Virtual Port Channels Supported vPC Topologies Describing Switch Virtualization Cisco Nexus Switch Basic Components Virtual Routing and Forwarding Cisco Nexus 7000 VDCs VDC Types VDC Resource Allocation VDC Management Describing Machine Virtualization Virtual Machines Hypervisor VM Manager Describing Network Virtualization Overlay Network Protocols VXLAN Overlay VXLAN BGP EVPN Control Plane VXLAN Data Plane Cisco Nexus 1000VE Series Virtual Switch VMware vSphere Virtual Switches Introducing Basic Data Center Storage Concepts Storage Connectivity Options in the Data Center Fibre Channel Storage Networking VSAN Configuration and Verification Describing Fibre Channel Communication Between the Initiator Server and the Target Storage Fibre Channel Layered Model FLOGI Process Fibre Channel Flow Control Describing Fibre Channel Zone Types and Their Uses Fibre Channel Zoning Zoning Configuration Zoning Management Describing Cisco NPV Mode and NPIV Cisco NPV Mode NPIV Mode Describing Data Center Ethernet Enhancements IEEE Data Center Bridging Priority Flow Control Enhanced Transmission Selection DCBX Protocol Congestion Notification Describing FCoE Cisco Unified Fabric FCoE Architecture FCoE Initialization Protocol FCoE Adapters Describing Cisco UCS Components Physical Cisco UCS Components Cisco Fabric Interconnect Product Overview Cisco IOM Product Overview Cisco UCS Mini Cisco IMC Supervisor Cisco Intersight Describing Cisco UCS Manager Cisco UCS Manager Overview Identity and Resource Pools for Hardware Abstraction Service Profiles and Service Profile Templates Cisco UCS Central Overview Cisco HyperFlex Overview Using APIs Common Programmability Protocols and Methods How to Choose Models and Processes Describing Cisco ACI Cisco ACI Overview Multitier Applications in Cisco ACI Cisco ACI Features VXLAN in Cisco ACI Unicast Traffic in Cisco ACI Multicast Traffic in Cisco ACI Cisco ACI Programmability Common Programming Tools and Orchestration Options Describing Cloud Computing Cloud Computing Overview Cloud Deployment Models Cloud Computing Services Lab outline Explore the Cisco NX-OS CLI Explore Topology Discovery Configure HSRP Configure vPCs Configure VRF Explore the VDC Elements Install ESXi and vCenter Configure VSANs Validate FLOGI and FCNS Configure Zoning Configure Unified Ports on a Cisco Nexus Switch and Implement FCoE Explore the Cisco UCS Server Environment Configure a Cisco UCS Service Profile Configure Cisco NX-OS with APIs Explore the Cisco UCS Manager XML API Management Information Tree Explore Cisco ACI

Duration 2 Days 12 CPD hours This course is intended for Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm

Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. Course Curriculum Introduction Introduction 00:02:00 Who We Are. 00:05:00 Memory Card What is Memory Card 00:02:00 Different Memory Cards Types And Sizes 00:03:00 Technical Properties of Memory Cards 00:04:00 SD Card Pin Configuration 00:04:00 SD Card Wiring Explained 00:09:00 SD Card Power Consumption 00:01:00 Hardware and Software Requirements Hardware and Software Requirements 00:00:00 SD Card MikroC Library Introduction to SD Card MikroC Library 00:05:00 SD Library Functions Explained 00:13:00 Circuit Design Circuit Design and Wiring 00:09:00 Coding Coding 00:11:00 Library and Functions 00:19:00 Downloading And Installing Software Download and Install Proteus Software 00:11:00 Download and Install MikroC Software 00:11:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. Course Curriculum Introduction Introduction 00:01:00 Who We Are 00:05:00 Hardware and Software Requirements Hardware and Software Requirements 00:00:00 SD Card Module SD Card Module 00:02:00 Where to Buy SD Card Module 00:03:00 Pin Wiring for SD Card Module 00:03:00 Preparing SD Card 00:01:00 How to Format SD Card 00:01:00 Testing SD Card Module 00:06:00 Code for Testing SD Card Code for Testing SD Card 00:05:00 Reading and Writing to and From SD Card Module 00:12:00 Downloading and Installing Software Download and Install Arduino Software 00:09:00 Download and Install Circuit Design and Wiring Software 00:06:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

Master DeepSeek AI with this CPD-accredited course! Learn automation, coding, and business solutions to boost productivity and career growth.

This course is a mix of theory and coding to give you experience in building Kafka applications using AVRO and Schema Registry. You will code and build a coffee order service using Spring Boot and Schema Registry. Anyone interested in learning about Schema Registry and how to build Kafka Producer and Consumer applications that interact with Schema Registry can take up the course.

A Computer Maintenance Specialist keeps computers in a good state of repair. They may run diagnostic programs to determine the causes of and help to resolve problems. The Start Your Career as Web Developer - Complete Training course is designed for the people who want to pursue the lucrative career of computer maintenance specialists. Topics included in the course are the types of computer, computer basics, the anatomy of a PC, how a PC works, input and output devices, and more. In short, the course covers almost everything that you need to know about becoming a computer specialist. Why choose this course Earn an e-certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Mock exams Multiple-choice assessment Certification 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. Course Content Introduction Introduction 00:03:00 How to Get Course requirements 00:02:00 Getting Started on Windows, Linux or Mac 00:02:00 How to ask a Great Questions 00:01:00 FAQ's 00:01:00 HTML Introduction HTML 00:05:00 Choosing Code Editor 00:06:00 Installing Code Editor (Sublime Text) 00:04:00 Overview of a Webpage 00:05:00 Structure of a Full HTML Webpage 00:07:00 First Hello World! Webpage 00:09:00 HTML Basic Heading tags 00:09:00 Paragraph 00:08:00 Formatting Text 00:12:00 List Items Unordered 00:05:00 Classes 00:09:00 IDs 00:06:00 Comments 00:04:00 HTML Intermediate Images 00:12:00 Forms 00:05:00 Marquee 00:06:00 Text area 00:06:00 Tables 00:06:00 Links 00:07:00 Navbar - Menu 00:04:00 HTML Entities 00:05:00 Div tag 00:06:00 Google Maps 00:07:00 HTML Advanced HTML Audio 00:07:00 HTML Video 00:05:00 Canvas 00:06:00 Iframes 00:05:00 Input Types 00:04:00 Input Attributes 00:06:00 Registration Form 00:04:00 Contact Us Form 00:10:00 Coding Exercise 00:01:00 Solution for Coding Exercise 00:01:00 JavaScript Introduction What is JavaScript 00:09:00 Hello World Program 00:06:00 Getting Output 00:11:00 Internal JavaScript 00:13:00 External JavaScript 00:09:00 Inline JavaScript 00:04:00 Async and defer 00:06:00 JavaScript Basics Variables 00:16:00 Data Types 00:11:00 Numbers 00:06:00 Strings 00:04:00 String Formatting 00:05:00 JavaScript Operators Arithmetic operators 00:03:00 Assignment operators 00:02:00 Comparison operators 00:05:00 Logical operators 00:06:00 JavaScript Conditional Statements If-else statement 00:05:00 If-else-if statement 00:04:00 JavaScript Control Flow Statements While loop 00:09:00 Do-while loop 00:04:00 For loop 00:15:00 Coding Exercise 00:01:00 Solution for Coding Exercise 00:01:00 JavaScript Functions Creating a Function 00:08:00 Function Call() 00:07:00 Function with parameters 00:05:00 JavaScript Error Handling Try-catch 00:05:00 Try-catch-finally 00:17:00 JavaScript Client-Side Validations On Submit Validation 00:09:00 Input Numeric Validation 00:12:00 PHP Introduction What is PHP 00:08:00 Installing XAMPP for PHP, MySQL and Apache 00:12:00 Installing Code Editor(Visual Studio Code) 00:07:00 Creating PHP Project on XAMPP 00:03:00 Hello World Program 00:06:00 PHP Basic Variables 00:16:00 Echo and Print 00:08:00 Data Types 00:11:00 Numbers 00:06:00 Boolean 00:04:00 Arrays 00:06:00 Multi-Dimensional Array 00:07:00 Sorting Arrays 00:04:00 Constants 00:05:00 PHP Strings Strings 00:04:00 String Formatting 00:05:00 String Methods 00:08:00 Coding Exercise 00:01:00 Solution for Coding Exercise 00:01:00 PHP Operators Arithmetic operators 00:03:00 Assignment operators 00:02:00 Comparison operators 00:05:00 Increment - decrement operators 00:03:00 Logical operators 00:06:00 Ternary operator 00:03:00 PHP Decision-Making System If statement 00:05:00 If-else statement 00:02:00 If-else-if-else statement 00:03:00 Switch-case statement 00:05:00 PHP Control Flow Statements Flow Chart 00:06:00 While loop 00:09:00 Do-while loop 00:03:00 For loop 00:15:00 Foreach loop 00:04:00 Coding Exercise 00:01:00 Solution for Coding Exercise 00:01:00 PHP Functions Creating a Function 00:08:00 Function with Arguments 00:08:00 Default Argument 00:03:00 Function return values 00:06:00 Call-by-value 00:02:00 Call-By-Reference 00:02:00 PHP Super Globals $_POST Method 00:06:00 $_GET Method 00:02:00 PHP Advanced Form Handling 00:08:00 Date and Time 00:08:00 Include 00:06:00 Require 00:02:00 Sessions 00:08:00 File Reading 00:02:00 File Upload 00:06:00 PHP Object-Oriented Programming[OOPs] What is OOP 00:03:00 Class and Objects 00:11:00 Constructor 00:04:00 Destructor 00:03:00 Access Modifiers 00:10:00 Inheritance 00:12:00 Method overriding 00:06:00 Abstract Class 00:03:00 Interface 00:08:00 PHP - MySQL Application [CRUD] MySQL Basic PhpMyAdmin 00:04:00 Creating Database and Table 00:07:00 Database Connection 00:05:00 PHP Form Create records 00:16:00 PHP Form Reading records 00:11:00 PHP Form Update Data 00:15:00 PHP Form Delete records 00:04:00 PHP Real-World Code Forms Registration Form 00:04:00 MD5 Algorithm for Encrypting 00:03:00 Sha Algorithm 00:02:00 Login Form 00:12:00 PHP Validations On Submit Validation 00:09:00 Input Numeric Validation 00:12:00 Login Form Validation 00:05:00 Form Server-side all Data Validation 00:06:00 Form Server-side Validation 00:06:00 PHP Error Handling Try-throw-catch 00:06:00 Try-throw-catch-finally 00:02:00 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.

Learn to build a complete Internet of Things solution with Arduino, a SQL Database, and a web server

Embark on this course in web development with HTML, CSS, JS, and React for a comprehensive training program designed to empower beginners and experienced designers alike with the essential skills needed to create captivating and dynamic websites. Explore the power of React.js, HTML5, CSS3, JavaScript, and build scalable components with React.

Following on from the Macros course look at how you can write your own Visual Basic code within Excel to fully automate tasks and save time. Course overview Duration: 2 days (13 hours) Our VBA in Excel course is an introduction to using the Visual Basic for Applications language for programming in Excel. It looks at structures, syntax and coding standards. This course is designed for existing experienced users of Excel who can record and run macros and those who have dabbled in VBA but would like some formal training and help to put some structure to their code. Objectives  By the end of the course you will be able to: Write visual basic procedures Create event and general procedures Use commands from the Excel data model Use statements and functions Use a selection of debugging tools Create and use variables and constants Use different types of loops Create an Excel user form Content The VBA environment Project explorer Excel objects Modules Properties window Code window Code structure Code structure Navigating within your code Adding comments Using WITH Steps to creating a VBA procedure Procedures Sub procedures Event procedures Calling procedures The Excel data model Workbook commands Worksheet commands Excel selection methods Data manipulation commands Debugging Using breakpoints Stepping through code The immediate window The watch window The locals window points Variables and Constants Declaring variables Declaring multiple variables Variable data types Concatenation Scope of variables Constants Declaring constants Using constants Scope of constants Looping Do while loops Do until loops For next loops Conditional Statements IF statement SELECT CASE statement Comparison statements Logical operators Creating a User Form Form layout The control toolbox Naming conventions Adding objects Naming objects Captions Displaying the form Object properties Object properties Setting properties at design time Setting properties at run time Interconnectivity between the user form and Excel Comparing values Transferring information Running code