2685 Code courses delivered Online

Server Load Balancing course description This two-day Server Load Balancing course introduces the concepts of SLB from the reasons to implement, through the basics and then onto details studies of load distribution, health checks, layer 7 switching and Global SLB. What will you learn Explain packet paths when implementing SLB. Recognise the impact of different topologies. Evaluate SLB load distribution methods. Describe how load balancers can improve security. Explain how GSLB works. Server Load Balancing course details Who will benefit: Anyone working with SLB. Prerequisites: None. Duration 2 days Server Load Balancing course contents Introduction Concept, reasons, benefits, alternatives. Other features: Security, Caching. SLB concepts Architectures, Virtual servers, real servers, Virtual IP address, health checks. DNS load balancing. Packet walk using SLB. Load balancing 6 modes of bonding and load balancing without SLB. ISP load balancing. Health. Distribution policies: Round Robin, least connections, weighted distributions, response time, other variations. Persistent versus concurrent. Layer 4 switching L2 SLB, L3 SLB, single arm SLB, DSR, more packet walking, TCP versus UDP, Port numbers. Layer 7 switching Persistence. Cookie switching, Cookie hashing, Cookie insertion, URL switching, URL Hashing, SSL. Health checks Layer 3: ARP, ping. Layer 4: SYN, UDP. Layer 7: HTTP GET, Status codes, HTTP keepalives, content verification, SSL. Other application keepalives. What to do after failure and recovery. Security DOS attack protection, SYN attack protection, Rate limiting: connections, transactions. SSL offload. Redundancy Hot standby, Active standby, Active active. Stateful, stateless. VRRP, STP. GSLB Anycasting. DNS, TTL, DNS load balancing, problems with DNS load balancing,. HTTP redirect, health, thresholds, round trip times, location.

Level 3 Award in Education and Training | Previously PTLLS Level 3 Award in Education and Training - AET, previously PTLLS, is the mandatory minimum qualification if you want to be a FE teacher or trainer in your chosen field in the UK. If you are thinking about getting into teaching, this Level 3 Award in Education and Training (AET), previously known as the PTLLS course, is a great way to start. As a teacher, you can play a significant role in society and positively impact your students' lives. Currently, there is a huge demand for teaching jobs across the globe, and you know how satisfying it could be! So, if you aspire to be a changemaker, this is the ultimate course we can offer you. This course is designed so that both freshers and those working in an educational setting can get the benefit. Further, through this course, the current teachers can achieve formal recognition of their skills. Awarding Body The Level 3 Award in Education and Training course is accredited by TQUK. A certificate from this renowned awarding body will bring you out as a highly marketable candidate within the desired industry. There is Something More for You with This Level 3 Award in Education and Training | Previously PTLLS Course As a course provider, we highly value our learners' needs. That is why we are giving you some relevant courses for teaching and training for free to benefit you. With these courses, you can further enrich your knowledge and employability skills. Here are those - Diploma in Special Education Needs (SEN) EYFS Teaching Diploma Early Years Level 4 Primary Teaching Diploma Level 2 Diploma for the Early Years Practitioner Learning Outcomes of the Level 3 Award in Education and Training | Previously PTLLS Course By the end of this course, you will be able to: Identify and perform the roles of a teacher. Explain and apply the teaching and learning approaches. Plan a training session for your learners of different backgrounds. Describe the teachers' attributes and expectations. Prepare inclusive lessons and training sessions for your students. Analyse the role, responsibilities and relationships in education and training. Prepare and administer necessary assessments for your students. Why Choose Level 3 Award in Education and Training | Previously PTLLS from Us Self-paced course, access available from anywhere. Easy to understand, high-quality study materials. Dedicated tutor support during office hour (Monday to Friday) PTLLS Course developed by industry experts. 24/7 support via live chat, phone call or email. Free PDF certificate as soon as completing the Gift Courses. Special Note: Please be informed that apart from the initial fee, you have to pay GBP 169 when submitting assignments. Level 3 Award in Education and Training | Previously PTLLS Course Curriculum PTLLS : Module 01: Understanding Roles, Responsibilities and Relationships in Education and Training Understand the Teaching Role and Responsibilities in Education and Training Understand Ways to Maintain a Safe and Supportive Learning Environment Understand the Relationships between Teachers and Other Professionals in Education and Training PTLLS : Module 02: Understanding and Using Inclusive Teaching and Learning Approaches in Education and Training Understand Inclusive Teaching and Learning Approaches in Education and Training Understand Ways to Create an Inclusive Teaching and Learning Environment Be Able to Plan Inclusive Teaching and Learning Be Able to Deliver Inclusive Teaching and Learning Be Able to Evaluate the Delivery of Inclusive Teaching and Learning PTLLS : Module 03: Understanding Assessment Understand Types and Methods of Assessment Used in Education and Training Understand How to Involve Learners and Others in the Assessment Process Understand the Role and Use of Constructive Feedback in the Assessment Process Understand Requirements for Keeping Records of Assessment in Education and Training -------------------------------------------------------- ** [Free Courses] ** [Course 02 ] ** Level 2 Diploma for the Early Years Practitioner ** Module 1: Roles and Responsibilities of the Early Years Practitioner Module 2: Health and Safety of Babies and Young Children in the Early Years Module 3: Equality, Diversity and Inclusive Practice in Early Years Settings Module 4: Safeguarding, Protection and Welfare of Babies and Young Children in Early Years Settings Module 5: Understand How to Support Children's Development Module 6: Support Care Routines for Babies and Young Children Module 7: Support the Planning and Delivery of Activities, Purposeful Play Opportunities and Educational Programmes Module 8: Promote Play in an Early Years Setting Module 9: Support Well-being of Babies and Young Children for Healthy Lifestyles Module 10: Support Babies and Young Children to be Physically Active Module 11: Support the Needs of Babies and Young Children with Special Educational Needs and Disability Module 12: Promote Positive Behaviour in Early Years Settings Module 13: Partnership Working in the Early Years Module 14: Support Children's Transition to School [Course 03 ] ** Primary Teaching Diploma ** Module 01: Primary Education in the UK Module 02: Responsibilities, Qualifications and Skills Module 03: Initial Teacher Training Module 04: Types of Schools in the UK Module 05: Importance of Early Years in Development Module 06: EYFS Teaching Techniques Module 07: Teaching Primary English Module 08: Teaching Primary Mathematicsv Module 09: Teaching Primary Science, Design and Technology Module 10: Teaching Other Primary Subjects Module 11: Children Having Special Education Needs or Disabilities Module 12: EYFS Framework in 2021 Module 13: Self-Management and Dealing with Stress [Course 04] ** Early Years Level 4 ** Module 1: Supporting the Emotional and Physical Well-being of Children Module 2: Equality, Diversity and Professional Partnerships Module 3: Health and Safety Legislation Module 4: Observations, Assessments and Planning Module 5: Safeguarding Children Module 6: The Early Years Foundation Stage Module 7: Managing in a Nursery Environment Module 8: Engaging in Professional Development [Course 05 ] ** EYFS Teaching Diploma ** Module 1: An Overview of EYFS Module 2: Significance of Early Years in Development Module 3: Teaching Techniques Focusing EYFS Module 4: Curriculum for EYFS Teaching Module 5: EYFS Teaching Career Module 6: Fostering Learning and Development Module 7: Children Having Special Education Needs or Disabilities Module 8: Guiding Parents to the Early Years Foundation Stage Module 9: Safety Requirements Module 10: The EYFS Educational Philosophies and Privileges Module 11: The Process of Registration, Inspection, and Quality Improvement Module 12: EYFS Framework in 2021 Module 13: Finding Work as an EYFS Teacher [ Course 06 ] ** Diploma in Special Education Needs (SEN) ** Module 1: Introduction Module 2: A Quick Overview of the New SEND Code of Practice Module 3: Legislation Related to SEN Module 4: SEN Assessments and Descriptors Module 5: Education for Children with Disabilities Module 6: Common SEN Conditions Found Within Mainstream Schools Module 7: Assessment and Planning for Children with Special Educational Needs Module 8: The Broader Children's Workforce Associated with Special Education Needs Provisions Module 9: Working with Other Professionals and Other Sources of Support and Information ------------------------------------------------------- Level 3 Award in Education and Training | Previously PTLLS Qualification at a Glance Total Qualification Time (TQT - 120 Hours Guided Learning Hours (GLH) - 48 Hours Credit Value - 12 Minimum Age - 19 Purpose of the Level 3 Award in Education and Training | Previously PTLLS Qualification This Level 3 Award in Education and Training | Previously PTLLS qualification is designed to prepare learners for employment and support them to progress to a teaching role within the workplace. It has been developed for those intending to work in the post-16 education and training sector. What Skills You Will Gain from this Level 3 Award in Education and Training | Previously PTLLS Course You will gain the following marketable qualities through the Level 3 Award in Education and Training course. Different hiring managers are looking for these below-mentioned qualities. Become an expert in education and training. Learn about the teacher's role. Master the learning and teaching approaches. Increase your session planning skills. Gain knowledge in teacher expectations & attributions. Understand how to deliver inclusive sessions which engage and motivate learners. Explain roles, responsibilities, and relationships in education and training. Identify how to create assessments in education and training. Level 3 Award in Education and Training | Previously PTLLS Assessment Method In order to be eligible for the certification, you need to complete the following assessments. Three written assignments One microteaching session - 60 Minutes (Which can be submitted as a recorded video) Please note that you will be given precise instruction in the course material about writing the assignments and performing the micro-teach session. Moreover, if you face any difficulty, your tutor will be there to support you. You must submit all assignments via the online portal with full tutor support. Certification As soon as you submit your assignments and micro-teaching video, your tutor will assess those. Based on the assessor's evaluation, you will be graded either achieved/not achieved yet. If you are in the achieved category, you will receive an accredited certificate from the renowned awarding body TQUK. Progression If you achieve this Level 3 Award in Education and Training | Previously PTLLS qualification, you could progress to: Level 3 Award in Assessing Vocationally Related Achievement Level 3 Certificate in Assessing Vocational Achievement Level 3 Award in Assessing Competence in the Work Environment Level 4 Certificate in Education and Training Level 4 Certificate for the Advanced Practitioner in Schools and Colleges Level 4 Award for Technology Enabled Educators Level 5 Diploma in Education and Training Who is this course for? Wherever you work, this Level 3 Award in Education and Training | Previously PTLLS course is a must for you if you want to become a trainer. Besides, this course is also appropriate for the following. Teacher & Trainer Consultant Job Hunters & School Leavers College or University Students & Graduates Tutors & Instructors Headmasters Education Consultants Education Providers Office Clerk & Administration Assistant Educational Psychologist Lecturer or Classroom Assistant Requirements Level 3 Award in Education and Training There are no fixed entry requirements for attending the Level 3 Award in Education and Training course. However, you must be 19 years old or over upon certification. An interest in teaching adults and E-learning will be beneficial. Moreover, you must have basic ICT and time management skills. It will help you complete online written assignments. Since this is a Level 3 course, you must be ready to read through various texts, cross-reference, research theories or principles or practises of effective teaching. Finally, you need to demonstrate practical teaching skills via assessment work. Career path You can choose from a variety of professions either in teaching or training upon completion of the Level 3 Award in Education and Training | Previously PTLLS course. These include - Primary School Teacher Secondary School Teacher Further Education Teacher Private Tutor Freelance Trainer Trainer at Your Workplace

HTTP streaming training course description This course looks at the delivery of video streams using HTTP adaptive streaming. Both MPEG DASH and HLS are investigated. Hands on sessions primarily involve using Wireshark to analyse streams. What will you learn Use Wireshark to analyse and troubleshoot HTTP video streams. Explain HTTP adaptive streaming works. Evaluate and compare MPEG DASH and HLS. Use tools to create HTTP adaptive streams. HTTP streaming training course details Who will benefit: Anyone working in the broadcast industry. Prerequisites: TCP/IP foundation for engineers Duration 2 days HTTP streaming training course contents What is HTTP streaming? The old way. Progressive downloads versus streaming. Why not UDP and RTP for delivery? Adaptive bit rate streaming. Standards. Hands on Base network setup. Using WireShark for HTTP streams. HTTP protocol stack IP, TCP, IPv6. HTTP. HTTP 1.0, HTTP 1.1, HTTP 2.0, HTTP header fields. HTML 5. Hands on Analysing HTTP. Adaptive bitrate streaming principles Chunks, fragments, segments. Manifest files. Encoding, resolution, bitrates. Addressing, relative and absolute URLs, redirection. When does the client switch streams? Switch points. Hands on Walk through of client behaviours on a stream. HTTP streaming architecture Server components, distribution components, client software. CDN, caching, multiple servers. Hands on Analysing CDN and Internet delivery. TCP and HTTP streaming interactions TCP ACK, TCP connections, unicast only. TCP flow control, TCP and performance. Hands on TCP window sizes. MPEG DASH Stakeholders, DASH architecture and model, codec agnostic, XML, Media Presentation Description, Media Presentation, segment formats. Hands on MPEG DASH analysis. HTTP Live Streaming and others Stakeholders. Media segments, media playlists, master playlists. Adobe HTTP dynamic streaming, Microsoft smooth streaming. Hands on Analysing HLS. Tools mp4dash, mp4fragment, libdash. Apple developer tools for HLS. Hands on Creating segmented content. Security HTTPS, encryption, content protection. Hands on Encryption analysis. Summary Choosing a streaming method. Impact of live versus VoD. Web sockets.

OTT TV for engineers course description This course covers OTT TV by primarily looking at the delivery of video streams using HTTP adaptive streaming. Both MPEG DASH and HLS are investigated. Hands on sessions involve using Wireshark to analyse streams as well as crafting segmented content. What will you learn Explain what OTT TV is, and how it works. Describe the OTT TV architecture. Use Wireshark to analyse and troubleshoot OTT video streams. Explain how HTTP adaptive streaming works. Evaluate and compare MPEG DASH and HLS. Use tools to create OTT TV adaptive streams. OTT TV for engineers course details Who will benefit: Anyone working in the broadcast industry. Prerequisites: TCP/IP foundation for engineers. Duration 2 days OTT TV for engineers course contents What is OTT TV? Brodeo providers vs ISPs. Progressive downloads versus streaming. Why not UDP and RTP for delivery? Adaptive bit rate streaming. Standards. Hands on: Base network setup. Using WireShark for HTTP streams. HTTP protocol stack IP, TCP, IPv6. HTTP. HTTP 1.0, HTTP 1.1, HTTP 2.0, HTTP header fields. HTML 5. Hands on: Analysing HTTP. Adaptive bitrate streaming principles Chunks, fragments, segments. Manifest files. Encoding, resolution, bitrates. Addressing, relative and absolute URLs, redirection. When does the client switch streams? Switch points. Hands on: Walk through of client behaviours on a stream. OTT TV streaming architecture Server components, distribution components, client software. CDN, caching, multiple servers. Hands on: Analysing CDN and Internet delivery. TCP and HTTP streaming interactions TCP ACK, TCP connections, unicast only. TCP flow control, TCP and performance. Hands on: TCP window sizes. MPEG DASH Stakeholders, DASH architecture and model, codec agnostic, XML, Media Presentation Description, Media Presentation, segment formats. Hands on: MPEG DASH analysis. HTTP Live Streaming and others Stakeholders. Media segments, media playlists, master playlists. Adobe HTTP dynamic streaming, Microsoft smooth streaming. Hands on: Analysing HLS. Tools mp4dash, mp4fragment, libdash. Apple developer tools for HLS. Hands on: Creating segmented content. Security HTTPS, encryption, content protection. Hands on: Encryption analysis. Summary Choosing a streaming method. Impact of live versus VoD. Web sockets.

Signalling training course description An intensive course that defines and explores the signalling methods that are to be found in today's telecommunications services. What will you learn Describe the Functionality and Features of Signalling. Describe the Functionality of Analogue & Digital Subscriber Signalling. Describe the various types of signalling used on different network types. Describe the Functionality of Private Network Signalling. Describe the Functionality of Public Network Signalling. Signalling training course details Who will benefit: Personnel involved with systems design, implementation and support. Prerequisites: Telecommunications Introduction Duration 2 days Signalling training course contents Introduction What is Signalling?, Standards, ITU-T Recommendations, Signalling Categories - Supervisory Addressing, E.164, Call Information, Network Management, Network Components, Inband/Outband Switch Signalling, Analogue Vs Digital Signalling. Analogue Subscriber Signalling Analogue Local Loops/Switches/Trunks, Digital Switches/Local Loops, Telephone Handset, Accessing the Local Exchange, Pulse/Tone Dialling. Digital Subscriber Signalling Integrated Digital Access, DASS2 & DPNSS, DASS2 - Call, IMUX, Euro ISDN, Q.931 Call Control, Message Identification, Message Types, Call Establishment Messages, Call Clearing. Network Types Service Types, Circuit Switched, Packet Switched, Signalling Terminology, In-Channel Signalling, G.704, Performance and Quality, Digital Signalling, CAS, CAS Applications, Foreign Exchange, CCS, Break-In/Out Private Network Signalling Types Networking PABXs, Inter PABX Analogue Signalling Methods, E & M, Tone-On-Idle, Inter PABX Digital Signalling Methods, DPNSS, DPNSS Deployment, PABX Support for DPNSS, DPNSS Call, Q.Sig, Q.Sig support/functionality/protocol, Message Overview, Call Establishment. Public Network Signalling SS7, SS7 Operations, SS7 Topology, SSP, STP, SCP, Database Types - CMSDB NP LIDB HLR VLR, Signalling Modes, Link Types, Further Redundancy, Linksets, SS7 addressing, Point Codes, Sub-System, Global Title Addressing and Translation, ANSI PCs, ITU-T PCs, SS7 Protocol Stack, MTP Level 1, MTP Level 2, Flow Control, FISU, LSSU, MSU, MSU SIF, MTP Level 3, SCCP, TCAP, TUP, Facility Format, Main Facilities, Flow Control Negotiation, Closed User Groups, Reverse Charging, Fast Select Facility, Throughput Class Negotiation, Call Barring, On-Line Facility Registration. BTUP, ISDN ISUP, Supplementary Services, ISUP Call - IAM, Progress/Answer/Suspend/ Resume/Release Messages, Intelligent Network (IN) Introduction, IN Evolution, IN Conceptual Model, IN Target Services & Service Features, Service Independent Building Blocks

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

🌟 Unlock Your Website's Full Potential with 'Masterful WordPress 5.0 Editing Techniques'! 🌟   Are you ready to elevate your WordPress editing skills to the next level? Welcome to the ultimate online course designed to empower you with the mastery of WordPress 5.0 editing techniques!   🚀 What You'll Learn: Harness the power of the latest WordPress 5.0 features to create stunning and responsive websites effortlessly. Dive deep into the Gutenberg editor and learn advanced techniques to craft visually captivating and user-friendly content. Discover insider tips and tricks to streamline your editing process, saving you time and frustration. Customize themes and layouts like a pro, ensuring your website stands out in today's competitive online landscape. Optimize your site for SEO, speed, and user experience, boosting your online presence and visitor engagement.   💡 Course Highlights: Comprehensive modules led by industry experts, breaking down complex concepts into easy-to-follow lessons. Hands-on exercises and practical tutorials that reinforce your learning and ensure immediate application. Access to exclusive resources, templates, and tools to enhance your WordPress editing journey. Interactive community forums for networking, collaboration, and ongoing support from fellow learners and instructors. Lifetime access to updated content, ensuring you stay ahead in the ever-evolving world of WordPress.   🎓 Who Is This Course For? WordPress enthusiasts eager to sharpen their editing skills and unlock the full potential of WordPress 5.0. Content creators, bloggers, freelancers, and website owners seeking to enhance their online presence. Beginners looking to establish a solid foundation in WordPress editing and experienced users aiming to refine their expertise.   🌟 Join thousands of satisfied learners who have transformed their websites with the 'Masterful WordPress 5.0 Editing Techniques' course. Don't miss this opportunity to revolutionize your web editing skills and create impactful online experiences! 🔥 Enroll today and embark on your journey towards becoming a WordPress editing virtuoso! 🔥 Course Curriculum Basic Overview 00:00 Installing WordPress 00:00 Basics of Worpress 00:00 Backing Up Your WordPress Site 00:00 Upgrading to WordPress 5.0 00:00 Finding Compatible Themes 00:00 Using the Default Theme 00:00 The Editor Layout-Part-1 00:00 The Editor Layout-Part-2 00:00 Adding Blocks 00:00 Customizing Blocks 00:00 Maniupulating Blocks 00:00 Manipulating Blocks - Part 2 00:00 Adding and Customizing Text 00:00 Adding Images 00:00 Adding Lists 00:00 Adding Videos 00:00 Adding Audio 00:00 Image Overlay 00:00 Conclusion 00:00 Advanced Overview 00:00 Quotes and Pull Quotes 00:00 Media and Text Blocks 00:00 Uploading Files 00:00 Tables 00:00 Poetry Verse Block 00:00 Adding Buttons 00:00 Adding Columns 00:00 Seperators and Spaces 00:00 Widgets 00:00 General Embed Element 00:00 Video Embeds - YouTube and Vimeo 00:00 Video Embeds - Screencast 00:00 Image Based Embeds - Imgur and Flickr 00:00 Slideshare - Speaker Desk and Presentation Based Embeds 00:00 Scrbd Embeds 00:00 Social Embeds - Facebook - Instagram - Twitter 00:00 Spotify and Soundcloud Embeds 00:00 Specialty Embeds - Meetup, Ted and Kickstarter 00:00 Conclusion - Switching To the Classic Editor 00:00

Supporting and engaging with different parts of the organisation and interact with internal or external customer.

Welcome to 'Python Programming for Non Programmers Level 5,' a course specially designed for those new to the world of coding. This program starts with a comprehensive introduction to Python, a versatile programming language favored in numerous fields. Progressing to the second unit, participants will familiarize themselves with the initial steps of Python programming, setting a strong foundation for future learning. The course then advances to conditional branching in Python, an essential skill for logical problem-solving in coding. A highlight of this course is the practical project: building the game 'Rock Paper Scissors'. This engaging task not only consolidates learning but also adds a fun element to the process. The curriculum further includes critical topics like string operations, date and time functionalities, and the nuances of file handling in Python. Learners will navigate through the complexities of Python data structures-tuples, lists, and dictionaries-and learn to craft user functions, enhancing their coding capabilities. The course also covers email automation, ingenious import tactics, interfacing with operating systems, and handling exceptions with finesse. Furthermore, learners will get hands-on experience with package installation, scheduling tasks in Python, and managing databases using SQLite. The course wraps up with insights on running Python programs via command prompt and Jupyter Notebook, ensuring learners are well-equipped for real-world applications. Learning Outcomes Acquire foundational knowledge and setup skills in Python programming. Master conditional branching for effective problem-solving in code. Complete a practical coding project to solidify Python skills. Learn essential Python operations, including string handling and file management. Explore and apply advanced Python concepts for real-world applications. Why choose this Python Programming for Non Programmers Level 5 course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Python Programming for Non Programmers Level 5 course for? Beginners eager to learn Python from scratch. Non-technical professionals desiring to add coding skills to their portfolio. Educators keen to integrate Python into their teaching methodologies. Businesspersons interested in understanding coding fundamentals for tech-based solutions. Enthusiasts exploring programming as a new hobby or career path. Career path Entry-Level Python Programmer: £25,000 - £40,000 Python-Enabled Data Analyst: £28,000 - £45,000 Python Automation Engineer: £30,000 - £50,000 Technical Support Analyst with Python Skills: £22,000 - £35,000 Python Web Developer: £26,000 - £42,000 Quality Assurance Analyst with Python Expertise: £24,000 - £38,000 Prerequisites This Python Programming for Non Programmers Level 5 does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Python Programming for Non Programmers Level 5 was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Unit 01: Introduction to Python Programming Section 01: Course Introduction 00:02:00 Unit 02: Getting Started with Python Section 01: Software Installation 00:02:00 Section 02: Hello World Program 00:06:00 Section 03: Input and Output 00:07:00 Section 04: Calculating Average of 5 Numbers 00:03:00 Unit 03: Conditional Branching with Python Section 01: If Loop In Python 00:06:00 Section 02: Program Using If Else part 1 00:03:00 Section 03: Program Using If Else part 2 00:08:00 Section 04: Program for Calculator 00:02:00 Section 05: Program Using For Loop 00:08:00 Section 06: For Table 00:05:00 Section 07: For loop and Mathematical Operator in Python 00:04:00 Section 08: Factorial of Number Using Python 00:06:00 Section 09: Program Using While 00:05:00 Section 10: While Loop Example 00:07:00 Section 11: Tasks for Practice 00:02:00 Unit 04: Importing external/internal library in python Section 01: Importing Library in Python 00:07:00 Unit 05: Project Rock Paper and Scissors Section 01: Rock Paper and Scissor Game 00:06:00 Unit 06: Strings Operation in Python Section 01: Program Using String part 1 00:05:00 Section 02: Program using String 2 00:06:00 Section 03: Program Using String 3 00:06:00 Section 04: Program Using String part 4 00:03:00 Unit 07: Date and time in Python Section 01: Use of Date and Time part 1 00:05:00 Section 02: Use of Date and Time part 2 00:05:00 Unit 08: File Handling, read and write using Python Section 01: File Handling Part 1 00:08:00 Section 02: File Handling Part 2 00:07:00 Unit 09: Data Storage Structures, Tuple, List and Dictionary Section 01: Tuple in Python Part 1 00:10:00 Section 02: Tuple in Python Part 2 00:07:00 Section 03: Using Lists part 1 00:07:00 Section 04: Using List part 2 00:12:00 Section 05: Using Lists part 3 00:06:00 Section 06: Using Lists part 4 00:08:00 Section 07: Using Lists part 5 00:02:00 Section 08: Use of Dictionary Part 1 00:04:00 Section 09: Use of Dictionary Part 2 00:05:00 Section 10: Use of Dictionary Part 3 00:08:00 Section 11: Use of Dictionary Part 4 00:07:00 Unit 10: Writing user functions in Python Section 01: Function in Python Part 1 00:06:00 Section 02: Function in Python Part 2 00:05:00 Section 03: Function in Python Part 3 00:04:00 Section 04: Function in Python Part 4 00:07:00 Section 05: Function in Python Part 5 00:08:00 Unit 11: Sending mail Section 01: Send Email 00:09:00 Unit 12: Import Tricks in Python Section 01: Import Study part 1 00:07:00 Section 02: Import Study part 2 00:03:00 Unit 13: Import Operating System and Platform Section 01: Importing OS 00:06:00 Section 02: Import Platform 00:05:00 Unit 14: Exceptions handling in python Section 01: Exception in Python part 1 00:11:00 Section 02: Exception in Python part 2 00:07:00 Section 03: Exception in Python part 3 00:05:00 Unit 15: Installing Packages and Scheduling In Python Section 01: Installing Packages using built in package manager 00:08:00 Section 02: Scheduler in Python 00:05:00 Unit 16: Data Base In Python using sqlite Section 01: Data Base 1 00:08:00 Section 02: Data Base 2 00:09:00 Section 03: Data Base 3 00:08:00 Section 04: Data base 4 00:07:00 Section 05: Data Base 5 00:06:00 Unit 17: Running Program from Command Prompt and jupyter Notebook Section 01: IDE_1 00:05:00 Section 02: IDE_2 00:07:00 Unit 18: Conclusion Section 01: Conclusion 00:02:00 Resources Resources - Diploma in Python Programming 00:00:00 Assignment Assignment - Diploma in Python Programming 00:00:00 Recommended Materials Workbook - Diploma in Python Programming 00:00:00

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Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Internet of Things (IoT) there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Internet of Things (IoT) course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Internet of Things (IoT) does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Internet of Things (IoT) was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Internet of Things (IoT) is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Course Agenda Module 01: Introduction 00:02:00 Module 02: Course Agenda 00:03:00 Unit 01: Introduction Module 01: Introduction to Internet of Things 00:13:00 Module 02: Choosing Cloud Services for IoT 00:05:00 Module 03: What is Raspberry Pi Part 1? 00:09:00 Module 04: What is Raspberry Pi Part 2? 00:06:00 Unit 02: Raspberry Pi Installation Module 01: Downloading OS for Raspberry Pi Noobs-Raspbian 00:07:00 Module 02: Install OS using NOOBS 00:11:00 Module 03: Remote Control of Raspberry Pi Using VNC Viewer 00:10:00 Module 04: Install OS using Raspbian Image part 1 00:06:00 Module 05: Install OS using Raspbian Image part 2 00:02:00 Unit 03: Getting Around Raspberry Pi Module 01: Getting Around Raspbian Operating System part 1 00:10:00 Module 02: Getting around Raspbian Operating System part 2 00:08:00 Module 03: Getting around Raspbian Operating System part 3 00:06:00 Module 04: How To Run Python program On Raspberry Pi 00:09:00 Unit 04: Raspberry Pi GPIO Output Module 01: Raspberry PI GPIO Concepts 00:07:00 Module 02: Raspberry Pi GPIO Interfacing Single LED 00:17:00 Module 03: Raspberry Pi GPIO Interfacing Multiple LED's 00:09:00 Module 04: Rapberry Pi GPIO Interfacing Buzzer 00:03:00 Unit 05: Output from Raspberry Pi Module 01: Raspberry Pi and Transistorized Switching 00:09:00 Module 02: Raspberry Pi and Relay part 1 00:13:00 Module 03: Raspberry Pi and Relay part 2 00:08:00 Unit 06: Inputs to Raspberry Pi Module 01: Accepting Digital Input on Raspberry Pi Part 1 00:13:00 Module 02: Accepting Digital Inputs on Raspberry Pi Part 2 00:07:00 Unit 07: Sensor Interfacing Module 01: Sensor Interfacing With Raspberry Pi LDR1 00:05:00 Module 02: Sensor Interfacing With Raspberry Pi LDR 2 00:10:00 Module 03: Sensor Interfacing With Raspberry Pi LDR 3 00:07:00 Module 04: Sensor Interfacing with Rapberry Pi DHTT11 part 1 00:10:00 Module 05: Sensor Interfacing with Rapberry Pi DHTT11 part 2 00:10:00 Module 06: Sensor Interfacing with Raspberry pi Using SenseHAT 00:11:00 Module 07: Ultrasonic Sensor Interfacing with Raspberry Pi 00:14:00 Unit 08: Interfacing of I2C Based BMP180 Sensor with Raspberry Pi Module 01: BMP180 with Raspberry Pi 00:07:00 Module 02: Enabling I2C on Raspberry Pi 00:05:00 Module 03: BMP180 Python Code 00:06:00 Unit 09: Internet of Things with Microsoft Azure Module 01: Getting Started With IoT 00:11:00 Module 02: Getting Started with Microsoft Azure IoT Hub Part 1 00:04:00 Module 03: Getting Started with Microsoft Azure IoT Hub Part 2 00:05:00 Module 04: Getting Started with Microsoft Azure IoT Hub Part 3 00:09:00 Module 05: Create Device inside Azure IoT Hub 00:06:00 Module 06: Enable Azure Cloud Shell and enable IoT Extension 00:08:00 Module 07: Send Data to Azure IoT Hub Using Python Program 00:09:00 Module 08: Send Actual Temperature and Humidity Values to Azure IoT hub 00:03:00 Module 09: Storing the Data on Microsoft Azure Using Custom Gateway 00:13:00 Module 10: Save data to blob storage using Stream Analytics Job 00:12:00 Module 11: Data Visualization with Power BI Part 1 00:07:00 Module 12: Data Visualization with Power BI Part 2 00:12:00 Module 13: Creating Custom web app with azure for data visualization Part 1 00:10:00 Module 14: Creating Custom web app with azure for data visualization Part 2 00:14:00 Module 15: Creating Custom web app with azure for data visualization Part 3 00:12:00 Module 16: Dealing with password error while pushing your webapp to azure 00:01:00 Module 17: Cleaning up Azure Resources 00:02:00 Module 18: Remote Monitoring using Azure Logic App Part 1 00:12:00 Module 19: Remote Monitoring using Azure Logic App Part 2 00:10:00 Unit 10: IoT with Thingspeak Module 01: Introduction to Thingspeak 00:06:00 Module 02: Create an account and send data to Thingspeak 00:08:00 Unit 11: Learn a new platform, Adafruit IO Module 01: Getting started with SaaS IoT Platform io.adafruit.com 00:08:00 Module 02: What is MQTT? 00:10:00 Module 03: Sending Data to Adafruit Io Using MQTT Part 1 00:17:00 Module 04: Sending Data to Adafruit io Using MQTT part 2 00:14:00 Module 05: Home automation project with adafruit IO Part 1 00:15:00 Module 06: Home Automation Project with Adafruit IO Part 2 00:02:00 Unit 12: IOT Security Module 01: IoT Security 00:14:00 Module 02: Conclusion 00:01:00 Assignment Assignment - Internet of Things (IoT) 00:00:00