4118 Computing courses in Epping delivered On Demand

Do you want to know about the secrets of electricity and learn how to work with it safely? Do you want to gain a solid foundation in electricity for both beginners and experts? Do you want to start a career as an electrician but don't know where to start? If you are looking for these answers, then enrol on our course now. Our course will teach you the most recent theories, components, and analyses so that you can understand all the key ideas behind this crucial technology. Are you looking to improve your current abilities or make a career move? Our unique Basic Electricity Training Course might help you get there! Expand your expertise with high-quality training - study the Basic Electricity Training and get an expertly designed, great value training experience. Learn from industry professionals and quickly equip yourself with the specific knowledge and skills you need to excel in your chosen career through the Basic Electricity Training online training course. Understanding the fundamentals of electricity is essential if you wish to work in the electrical industry. You will learn the fundamentals of electricity and how elements of electricity affect electric circuits. Furthermore, you will learn about the behaviour of DC and AC circuits as well as the interactions between critical electrical components in this online course. Learning outcome: After this course, you will be able to: Understand the connection between power, resistance, and current. Application of Ohm's Law to a Direct Current (DC) Circuit Analyse a DC circuit's current, voltage, and resistance. Differentiate between direct current (DC) and alternating current (AC) (DC) Explain the impact of voltage changes on circuits. Examine the importance of electrical system grounding. Explain the way that capacitors hold charges. Determine between an electromagnet and a permanent magnet. Describe the basic guidelines for electrical safety at construction sites. Why Prefer this Course? Opportunity to earn a certificate accredited by CPD after completing this Training course Student ID card with amazing discounts - completely for FREE! (£10 postal charges will be applicable for international delivery) Standards-aligned lesson planning Innovative and engaging content and activities Assessments that measure higher-level thinking and skills Complete the program in your own time, at your own pace Each of our students gets full 24/7 tutor support In this intensive online course, you will get to know how the atom's structure plays a significant role in the movement of electricity, then covers the three essential components of electricity and how a sub-particle of an atom is responsible for the passage of electricity from one substance to another. Next, you will learn about every type of measurement used in the field of electricity as well as the history behind each one. Then you will go over Ohm's Law of Electricity and how it describes the connection between three electrical variables and the behaviours of direct current (DC) and alternating current (AC) circuits. Moreover, we will demonstrate how to use Kirchhoff's principles in a DC circuit and figure out how many resistors are needed in both series and parallel circuits. Lastly, learn about the behaviour of AC circuits, and the characteristics of the sine wave of an AC circuit are reviewed, along with some useful advice and examples on computing cells or batteries linked in series or parallel. *** Course Curriculum *** Basic Electricity Training Course Module 1: Introduction and Basics This module covers the following topics: The Structure of Atoms Electrons Electric Current Resistance Electric Power Module 2: Electrical Units and Ohm's Law This module covers the following topics: The Coulomb The Ampere The Volt The Ohm The Watt Ohm's Law Module 3: Direct Current This module covers the following topics: Direct Current Circuit Basics Circuit SimplificationCurrent, Voltage and Resistance CalculationsPower CalculationResistance in Series, Parallel and Series-ParallelKirchhoff's First and Second Law Cells and Batteries Electrochemical EnergyPrimary and Secondary Cells and BatteriesCells in Series and Parallel Module 4: Alternating Current Basics This course module covers the following topics: Alternating Current Period and Frequency The Sine Wave Expressions of Amplitude The Generator Module 5: Voltage and Resistance This course module covers the following topics: Voltage Sources Voltage Rises and Voltage Drops Ground as a Voltage Reference Uses of Resistors Fixed Resistors Colour Code Power Ratings Variable Resistors Module 6: Capacitance and Capacitors This course module covers the following topics: Capacitors How Does a Capacitor Store Charge? Capacitance and Units of Capacitance Factors Affecting Capacitance Voltage Rating of a Capacitor Capacitors in Series Capacitors in Parallel Energy Stored in a Capacitor Energy Density of Electric Fields Module 7: Magnetism This course module covers the following topics: The Electron Theory of Magnetism Magnetic Materials Magnetic Lines of Force Electromagnetics Magnetic Measurement Magnetic Polarity Module 8: Safety Precautions This course module covers the following topics: General Safety Rules Effects of Electric Current on the Body On the Job Protective Clothing Ladders and Scaffolds Fires Ground-Fault Circuit Interrupters Arc-Fault Circuit Interrupters Grounding Assessment Process Once you have completed all the modules in the Basic Electricity Training course, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? College students. Electrical engineers who lack fundamental knowledge. People who want to pursue a career in the relevant field. Requirements You will not need any prior background or expertise to enrol in this course. Career path Upon completion of the course, the learner will have the potential to apply for the relevant job. Here are career options one could go for: Electricity generation worker: Salary: £19,000 to £35,000 Electrical engineer: Salary: £20,000 to £60,000 Electrician: Salary: £18,000 to £42,000 Certificates CPD Accredited Certificate Digital certificate - £10 CPD Accredited Certificate Hard copy certificate - £29 If you are an international student, then you have to pay an additional 10 GBP as an international delivery charge.

Welcome to the data manipulation in Python course. Our goal in this course is to provide you with all the tools and skills necessary to master Python, NumPy, and Pandas for data science. No previous skills or expertise are required. Only a drive to succeed!

This course covers the important topics needed to pass the AWS Certified Data Analytics-Specialty exam (AWS DAS-C01). You will learn about Kinesis, EMR, DynamoDB, and Redshift, and get ready for the exam by working through quizzes, exercises, and practice exams, along with exploring essential tips and techniques.

Getting Started The QUALIFI Level 3 Diploma in Data Science aims to offer learners a comprehensive introduction to data science. This Level 3 Diploma provides a modern and all-encompassing overview of data science, artificial intelligence, and machine learning. It covers the evolution of artificial intelligence and machine learning from their beginnings in the late 1950s to the emergence of the "big data" era in the early 2000s. It extends to the current AI and machine learning applications, including the associated challenges. In addition to covering standard machine learning models like linear and logistic regression, decision trees, and k-means clustering, this diploma introduces learners to two emerging areas of data science: synthetic data and graph data science. Moreover, the diploma familiarizes learners with the landscape of data analysis and the relevant analytical tools. It includes introducing Python programming so learners can effectively analyse, explore, and visualize data and implement fundamental data science models. Key Benefits Acquire the essential mathematical and statistical knowledge necessary for conducting fundamental data analysis. Cultivate analytical and machine learning proficiency using Python. Foster a solid grasp of data and its related processes, encompassing data cleaning, data structuring, and data preparation for analysis and visualisation. Gain insight into the expansive data science landscape and ecosystem, including relational databases, graph databases, programming languages like Python, visualisation tools, and various analytical instruments. Develop expertise in comprehending the machine learning procedures, including the ability to discern which algorithms are suited for distinct problems and to navigate the steps involved in constructing, testing, and validating a model. Attain an understanding of contemporary and emerging facets of data science and their applicability to modern challenges Key Highlights This course module prepares learners for higher-level Data science positions through personal and professional development. We will ensure your access to the first-class education needed to achieve your goals and dreams and to maximize future opportunities. Remember! The assessment for the Qualification is done based on assignments only, and you do not need to worry about writing any exam. With the School of Business and Technology London, you can complete the Qualification at your own pace, choosing online or blended learning from the comfort of your home. Learning and pathway materials and study guides developed by our qualified tutors will be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways Upon completing the QUALIFI Level 3 Diploma in Data Science, learners can advance their studies or pursue employment opportunities. Data Analyst with an estimated average salary of £39,445 per annum Business Intelligence Analyst with an estimated average salary of £40,000 per annum Data entry specialist with an estimated average salary of £22,425 per annum Database Administrator with an estimated average salary of £44,185 per annum About Awarding Body QUALIFI, recognised by Ofqual awarding organisation has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Leadership, Hospitality & Catering, Health and Social Care, Enterprise and Management, Process Outsourcing and Public Services. They are liable for awarding organisations and thereby ensuring quality assurance in Wales and Northern Ireland. What is included? Outstanding tutor support that gives you supportive guidance all through the course accomplishment through the SBTL Support Desk Portal. Access our cutting-edge learning management platform to access vital learning resources and communicate with the support desk team. Quality learning materials such as structured lecture notes, study guides, and practical applications, which include real-world examples and case studies, will enable you to apply your knowledge. Learning materials are provided in one of the three formats: PDF, PowerPoint, or Interactive Text Content on the learning portal. The tutors will provide Formative assessment feedback to improve the learners' achievements. Assessment materials are accessible through our online learning platform. Supervision for all modules. Multiplatform accessibility through an online learning platform facilitates SBTL in providing learners with course materials directly through smartphones, laptops, tablets or desktops, allowing students to study at their convenience. Live Classes (for Blended Learning Students only) Assessment Time-constrained scenario-based assignments No examinations Entry Requirements The qualification has been intentionally designed to ensure accessibility without imposing artificial barriers that limit entry. To enrol in this qualification, applicants must be 18 years of age or older. Admittance to the qualification will be managed through centre-led registration processes, which may involve interviews or other appropriate procedures. Despite the presence of advanced mathematics and statistics in higher-level data science courses, encompassing subjects such as linear algebra and differential calculus, this Level 3 Diploma only requires learners to be comfortable with mathematics at the GCSE level. The diploma's mathematical and statistical concepts are based on standard mathematical operations like addition, multiplication, and division. Before commencing the Level 3 Diploma in Data Science, learners are expected to meet the following minimum requirements: i) GCSE Mathematics with a grade of B or higher (equivalent to the new level 6 or above); and ii) GCSE English with a grade of C or higher (equivalent to the new level 4 or above). Furthermore, prior coding experience is not mandatory, although learners should be willing and comfortable with learning Python. Python has been selected for its user-friendly and easily learnable nature. In exceptional circumstances, applicants with substantial experience but lacking formal qualifications may be considered for admission, contingent upon completing an interview and demonstrating their ability to meet the demands of the capability. Progression Upon successful completion of the QUALIFI Level 3 Diploma in Data Science, learners will have several opportunities: Progress to QUALIFI Level 4 Diploma in Data Science: Graduates can advance their education and skills by enrolling in the QUALIFI Level 4 Diploma in Data Science, which offers a more advanced and comprehensive study of the field. Apply for Entry to a UK University for an Undergraduate Degree: This qualification opens doors to higher education, allowing learners to apply for entry to a UK university to pursue an undergraduate degree in a related field, such as data science, computer science, or a related discipline. Progress to Employment in an Associated Profession: Graduates of this program can enter the workforce and seek employment opportunities in professions related to data science, artificial intelligence, machine learning, data analysis, and other relevant fields. These progression options provide learners with a diverse range of opportunities for further education, career advancement, and professional development in the dynamic and rapidly evolving field of data science Why gain a QUALIFI Qualification? This suite of qualifications provides enormous opportunities to learners seeking career and professional development. The highlighting factor of this qualification is that: The learners attain career path support who wish to pursue their career in their denominated sectors; It helps provide a deep understanding of the health and social care sector and managing the organisations, which will, in turn, help enhance the learner's insight into their chosen sector. The qualification provides a real combination of disciplines and skills development opportunities. The Learners attain in-depth awareness concerning the organisation's functioning, aims and processes. They can also explore ways to respond positively to this challenging and complex health and social care environment. The learners will be introduced to managing the wide range of health and social care functions using theory, practice sessions and models that provide valuable knowledge. As a part of this suite of qualifications, the learners will be able to explore and attain hands-on training and experience in this field. Learners also acquire the ability to face and solve issues then and there by exposure to all the Units. The qualification will also help to Apply scientific and evaluative methods to develop those skills. Find out threats and opportunities. Develop knowledge in managerial, organisational and environmental issues. Develop and empower critical thinking and innovativeness to handle problems and difficulties. Practice judgement, own and take responsibility for decisions and actions. Develop the capacity to perceive and reflect on individual learning and improve their social and other transferable aptitudes and skills Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. UNIT1- The Field of Data Science Reference No : H/650/4951 Credit : 6 || TQT : 60 This unit provides learners with an introduction to the field of data science, tracing its origins from the emergence of artificial intelligence and machine learning in the late 1950s, through the advent of the "big data" era in the early 2000s, to its contemporary applications in AI, machine learning, and deep learning, along with the associated challenges. UNIT2- Python for Data Science Reference No : J/650/4952 Credit : 9 || TQT : 90 This unit offers learners an introductory approach to Python programming tailored for data science. It begins by assuming no prior coding knowledge or familiarity with Python and proceeds to elucidate Python's fundamentals, including its design philosophy, syntax, naming conventions, and coding standards. UNIT3- Creating and Interpreting Visualisations in Data Science Reference No : K/650/4953 Credit : 3 || TQT : 30 This unit initiates learners into the realm of fundamental charts and visualisations, teaching them the art of creating and comprehending these graphical representations. It commences by elucidating the significance of visualisations in data comprehension and discerns the characteristics distinguishing effective visualisations from subpar ones. UNIT4- Data and Descriptive Statistics in Data Science Reference No : L/650/4954 Credit : 6 || TQT : 60 The primary objective of this unit is to acquaint learners with the foundational concepts of descriptive statistics and essential methods crucial for data analysis and data science. UNIT5- Fundamentals of Data Analytics Reference No : M/650/4955 Credit : 3 || TQT : 30 This unit will enable learners to distinguish between the roles of a Data Analyst, Data Scientist, and Data Engineer. Additionally, learners can provide an overview of the data ecosystem, encompassing databases and data warehouses, and gain familiarity with prominent vendors and diverse tools within this data ecosystem. UNIT6- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT7- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT8- Machine Learning Methods and Models in Data Science Reference No : T/650/4957 Credit : 3 || TQT : 30 This unit explores the practical applications of various methods in addressing real-world problems. It provides a summary of the key features of these different methods and highlights the challenges associated with each of them. UNIT9- The Machine Learning Process Reference No : Y/650/4958 Credit : 3 || TQT : 30 This unit provides an introduction to the numerous steps and procedures integral to the construction and assessment of machine learning models. UNIT10- Linear Regression in Data Science Reference No : A/650/4959 Credit : 3 || TQT : 30 This unit offers a foundational understanding of simple linear regression models, a crucial concept for predicting the value of one continuous variable based on another. Learners will gain the capability to estimate the best-fit line by computing regression parameters and comprehend the accuracy associated with this line of best-fit. UNIT11- Logistic Regression in Data Science Reference No : H/650/4960 Credit : 3 || TQT : 30 This unit introduces logistic regression, emphasizing its role as a classification algorithm. It delves into the fundamentals of binary logistic regression, covering essential concepts such as the logistic function, Odds ratio, and the Logit function. UNIT12- Decision Trees in Data Science Reference No : J/650/4961 Credit : 3 || TQT : 30 This unit offers an introductory exploration of decision trees' fundamental theory and practical application. It elucidates the process of constructing basic classification trees employing the standard ID3 decision-tree construction algorithm, including the node-splitting criteria based on information theory principles such as Entropy and Information Gain. Additionally, learners will gain hands-on experience in building and assessing decision tree models using Python. UNIT13- K-means clustering in Data Science Reference No : K/650/4962 Credit : 3 || TQT : 30 This unit initiates learners into unsupervised machine learning, focusing on the k-means clustering algorithm. It aims to give learners an intuitive understanding of the k-means clustering method and equip them with the skills to determine the optimal number of clusters. UNIT14- Synthetic Data for Privacy and Security in Data Science Reference No : L/650/4963 Credit : 6 || TQT : 60 This unit is designed to introduce learners to the emerging field of data science, specifically focusing on synthetic data and its applications in enhancing data privacy and security. UNIT15- Graphs and Graph Data Science Reference No : M/650/4964 Credit : 6 || TQT : 60 This unit offers a beginner-friendly introduction to graph theory, a foundational concept that underlies modern graph databases and graph analytics. Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

Has the Computer System Validation Engineer left and you’ve been handed their responsibilities? Do the thoughts of your next audit fill you with dread? CSV can be frustrating but this program will show you how to manage electronic data in a regulated manufacturing/laboratory/clinical environment using the GAMP framework and ensure compliance with FDA’s 21 CFR Part 11, EU Annex 11 or other regulatory guidelines.

Are you fascinated with Netflix and YouTube recommendations and how they accurately recommend content that you would like to watch? Are you looking for a practical course that will teach you how to build intelligent recommendation systems? This course will show you how to build accurate recommendation systems in Python using real-world examples.

Master Python 3.10 from the experts with this course and demonstrate programming wizardry in Python. Go from a geek to a wizard in no time with this well-structured video course and write Python code like a pro. Learn about the often-forgotten basics and special features of programming and Python in general.

Accelerate Your Cloud Engineer Career: Fast-Track Program with Exams, TOTUM Card & 5-Year Support. Enrol Today! Study methodOnline Duration9 months · Self-paced Access to content5 years CertificationsCompTIA A+CompTIA Cloud+CompTIA Network+CompTIA Security+CompTIA IT Fundamentals CertificationMicrosoft Azure Data Fundamentals Certificates Official CompTIA Certification - Free Additional info Exam(s) / assessment(s) is included in price Tutor is available to students TOTUM card included in price Job guarantee programme is included in this course Overview Learn the most in-demand digital skills in the world today with the Nuyew Tech Academy If you enjoy problem solving and have good analytical skills, this could be the career for you. Cloud Network Engineers implement, maintain, support, develop and sometimes design communications networks and can work as part of an Internal Support Team or for an outsourced IT Networking Consultancy. In bigger companies, you may look after one specific area of a network or if working for smaller businesses you could be expected to troubleshoot any IT related problem. Certifications CompTIA A+ CompTIA Cloud+ CompTIA Network+ CompTIA Security+ CompTIA IT Fundamentals Certification Awarded by CompTIA Microsoft Azure Data Fundamentals Awarded by Microsoft Description With a national shortage of Cloud Network Engineers, starting salaries of up to £25,000 per annum (average UK Salary £52,500) and amazing future employed and self-employed career prospects, take the next step today with our Fast Track Cloud Network Engineer Programme. What you can expect from our Fast Track Programme: World Class Education Energetic and unlimited 24/7 Student Support Real, tangible Career Outcomes 5 Years Career Support What our programme includes: Industry Recognised Qualifications CompTIA ITF+ (IT Fundamentals) CompTIA A+ CompTIA Network+ CompTIA Security+ CompTIA Cloud+ OR CompTIA Server+ OR CompTIA Linux+ Exams Includes all Exams and Unlimited Re-Sits 5 Years Career Support Guarantee As part of our unique Support Guarantee, our Career Support Team will assist you with: CV writing Expert careers advice Interview preparation Identifying and applying for the best opportunities in your area As a student in the Nuyew Tech Academy you will also be given exclusive access to our Career Skills Academy which includes advanced courses on Employability, CV Preparation, Interview Skills and Technique and everything else you need to get ready for your new Career. Who is this course for? This course is open to anyone interested in pursuing a Career in Cloud Network Engineering. Our Foundation Level provides the flexibility for us to accommodate students with any level of previous knowledge and experience. Requirements This course is open to all and has no pre-requisites All you need is a passion for technology and a strong desire to succeed. Career path Our programme is designed to enable you to achieve an Entry Level/Helpdesk role during training (£18k-£24K) ensuring that you also have the vital work experience required to enter the Tech Industry at a higher level (Av Salary £52.5K). Our Career Support Guarantee gives you exclusive access to our dedicated Career Support Team and Advanced Career Skills Academy for 5 Years following Graduation. Certificates Official CompTIA Certification Hard copy certificate - Included We provide Official CompTIA Certificates for all courses included (ITF+, A+(2), Network+, Security+, Cloud+.

The series CompTIA A+ 900 Certification Advanced Diploma provides an extensive lesson about CompTIA A+ 900 Certification. A+ Certification is one of the leading certificates in the computer industry. It certifies the competency of PC Service Specialists. Sponsored by CompTIA - the Computing Technology Industry Association, and tests, the course is administered by Pearson VUE. The course includes more than 50 lessons related to the Computer industry. The course starts by describing firmware and BIOS configuration options. After that, the course will teach you about the motherboard basics including motherboard sizes, form factors, and AMD CPU socket types. The course also includes topics such as Expansion slots, RAM types and features, install and configure PC expansion cards, install and configure storage device, CPU's and cooling methods and PC connection interfaces. The course will also focus on power supplies, PC connectors, printing technologies, networking tools, etc. In short, the course provides all the necessary information about computer hardware and operating system. Course Highlights The price is for the whole course including final exam - no hidden fees Accredited Certificate upon successful completion Efficient exam system with instant results Track progress within own personal learning portal 24/7 customer support via live chat This valuable course is suitable for anyone interested in working in this sector or who simply wants to learn more about the topic. If you're an individual looking to excel within this field then CompTIA A+ 900 Certification Advanced Diploma is for you. We've taken this comprehensive course and broken it down into several manageable modules which we believe will assist you to easily grasp each concept - from the fundamental to the most advanced aspects of the course. It really is a sure pathway to success. All our courses offer 12 months access and are designed to be studied at your own pace so you can take as much or as little time as you need to complete and gain the accredited qualification. We pride ourselves on having friendly and experienced instructors who provide full weekday support and are ready to help with any of your queries. So, if you need help, just drop them an email and await a speedy response. Furthermore, you can check the validity of your qualification and verify your certification on our website at anytime. So, why not improve your chances of gaining professional skills and better earning potential. Assessment and Certification At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. After you have successfully passed the final exam, you will be able to order an Accredited Certificate of Achievement at an additional cost of £19 for a PDF copy and £29 for an original print copy sent to you by post or for both £39. Career Path Not only does our accredited course look good on your CV, setting you apart from the competition, it can be used as a stepping stone to greater things. Further advance your learning, launch a new career or reinvigorate an existing one. On successful completion of this course, you have the potential to achieve an estimated salary of £30,000. The sky really is the limit. Course Curriculum Configuring BIOS Firmware 00:07:00 BIOS Configuration Options 00:25:00 Motherboards Motherboard Sizes Form Factors 00:14:00 The Motherboard 00:12:00 AMD CPU Socket Types 00:11:00 Expansion Slots Expansion Cards 00:13:00 Bus Speeds 00:28:00 RAM Types and Features Memory 00:06:00 Types of RAM 00:07:00 Install and Configure PC Expansion Cards Ports 00:11:00 SCSI Connections 00:14:00 Audio Video Connections 00:26:00 Install and Configure Storage Devices Storage Devices 00:17:00 Hard Drives 00:17:00 Media Capacity 00:21:00 CPU's and Cooling Methods CPU Types and Characteristics 00:14:00 PC Connection Interfaces Physical Connections USB 00:11:00 Physical Connections VGA 00:11:00 Wireless Connections Bluetooth 00:06:00 Power Supplies Power Supply Specifications 00:16:00 Custom Computer Specifications What is a Standard Client 00:13:00 Audio Video Editing Workstations 00:08:00 Installing Displays Display Device Types 00:20:00 Backlighting 00:12:00 PC Connectors DVI to HDMI 00:13:00 Installing Peripheral Standard Input Device Types 00:16:00 Expansion Card Types 00:11:00 Multimedia Devices 00:11:00 Installing Multifunction Devices and SOHO Networks SOHO Networks 00:17:00 WPS 00:16:00 Encryption 00:14:00 Printer Technologies Printers 00:02:00 Printer Technologies Topic B Inkjet Printers 00:13:00 Printer Maintenance Technical Printer Components 00:09:00 Local and Network-Based Printers 00:22:00 Networking Network Interface Card Characteristics 00:20:00 Fiber Optic Cables 00:14:00 Properties and Characteristics of TCP/IP TCP IP 00:14:00 IP Address Classes 00:14:00 Addressing Schemes 00:17:00 TCP vs. UDP Ports 00:09:00 LDAP 00:04:00 Wi-Fi Networking Standards and Encryption Types Standards 00:03:00 Install and Configure SOHO Wireless/Wired Router Setting up your Router 00:10:00 Define Appropriate NAT Policies 00:16:00 Architecture and Internet Connection Types LANs 00:08:00 Network Topologies 00:11:00 ISPs 00:06:00 Networking Tools Cable Testers 00:13:00 Laptop Hardware Components Laptops 00:09:00 Laptop Expansion Options 00:10:00 Auto-Switching and Fixed Input Power Supplies 00:09:00 Mobile Devices What is Mobile Technology 00:09:00 Mobile Device Features 00:09:00 Bluetooth Configuration Method 00:08:00 Mobile Device Ports and Accessories Mobile Device Connection Types 00:10:00 Troubleshooting Mobile Devices 00:11:00 Troubleshooting Theory Troubleshooting Theory 00:16:00 Boot to Incorrect Device 00:16:00 PC Indicator Lights 00:10:00 Repair vs. Replace 00:10:00 Troubleshooting RAID Arrays and Hard Drives Drive and Array Troubleshooting Tools 00:06:00 Common RAID Array Issues 00:17:00 Troubleshooting Video Common Video and Display Issues 00:01:00 Troubleshooting Network Issues Common Network Issues 00:12:00 Troubleshooting Printers Common Printer Troubleshooting Tools 00:14:00 Windows Operating Systems Microsoft Windows 00:12:00 Microsoft Windows Features 00:17:00 Other Operating Systems 01:00:00 Installation Types 00:14:00 Customizing System Options 00:19:00 Command Line Tools The Command Prompt 00:12:00 Microsoft Operating System Features and Tools Administrative Tools 00:41:00 Task Manager 00:28:00 Memory Diagnostic Tool 00:46:00 Control Panel Utilities The Control Panel 00:11:00 Internet Options 00:10:00 Types of User Accounts 00:11:00 Computer My Computer 00:13:00 Permissions 00:31:00 System 00:10:00 Windows Networking on Client Desktops Workgroups 00:20:00 Network Connection Types 00:18:00 Preventative Maintenance Data Backup and Restoration 00:11:00 Scheduling Tasks 00:26:00 Features and Functionality of the Mac OS and Linux Operating Systems Patch Management in Mac OS X and Linux 00:09:00 Screen Sharing 00:06:00 Mac OS Multitouch Gestures - Touchscreen 00:09:00 Client Side Virtualization What is Virtualization 00:08:00 Virtual Desktop Infrastructure 00:12:00 Cloud-based Concepts SaaS (Software as Service) 00:09:00 Network Host Properties Server Roles 00:12:00 Mobile Operating Systems Open Source Software 00:03:00 Mobile Device Network and E-mail Mobile Device Hotspot 00:10:00 Security Malware 00:09:00 Social Engineering 00:13:00 Prevention Methods Physical Security 00:14:00 Hard Drive Sanitation 00:14:00 User Education 00:26:00 Windows Security Settings Users and Groups 00:11:00 Security Best Practices Password Best Practices 00:04:00 Securing Mobile Devices Locks 00:07:00 Troubleshooting Common PC Tools Operating System Troubleshooting Tools 00:12:00 Application Errors 00:16:00 Common Network Issues 00:12:00 Common Security Issues 00:10:00 Common PC Security Issues Browser Issues 00:06:00 Common Mobile Operating Systems Troubleshooting Dim Display 00:09:00 No Sound from Speakers 00:07:00 Common Safety Practices Static Electricity 00:14:00 Electrical Hazards 00:12:00 General Power Issues 00:10:00 Hazardous Material Disposal Procedures 00:07:00 Maintenance Tools and Techniques Professional Conduct 00:11:00 Types of Hardware Toolkits 00:11:00 Hard Drive Self-Tests 00:05:00 Computer Component Maintenance Techniques 00:10:00 Privacy and Licensing Concepts Incident Response 00:08:00 Proper Communication and Professionalism 00:07:00 Set Expectations 00:06:00 Mock Exam Mock Exam - CompTIA A+ 900 Certification Advanced Diploma 00:20:00 Final Exam Final Exam - CompTIA A+ 900 Certification Advanced Diploma 00:20:00

Accelerate Your Software Developer Career: Fast-Track Program with Exams, TOTUM Card & 5-Year Support. Enrol Today! Study methodOnline Duration9 months · Self-paced Access to content5 years CertificationsCompTIA IT Fundamentals CertificationPearson IT Specialist Software DeveloperPearson IT Specialist HTML5 Application DevelopmentPearson IT Specialist HTML and CSSPearson IT Specialist JavaPearson IT Specialist PythonPearson IT Specialist AI (Artificial Intelligence) Additional info Exam(s) / assessment(s) is included in price Tutor is available to students TOTUM card included in price Job guarantee programme is included in this course Overview Learn the most in-demand digital skills in the world today with the Nuyew Tech Academy Demand for software developers is at an all-time high worldwide. Digital transformation affects every industry and developers are required to support the change. Global shortages of coders mean that those skilled in this area command excellent salaries and have limitless opportunities around the world. Certifications CompTIA IT Fundamentals Certification Awarded by CompTIA Pearson IT Specialist Software Developer Pearson IT Specialist HTML5 Application Development Pearson IT Specialist HTML and CSS Pearson IT Specialist Java Pearson IT Specialist Python Pearson IT Specialist AI (Artificial Intelligence) Awarded by Pearson Description With a national shortage of Software Developers, starting salaries of up to £25,000 per annum (average UK Salary £52,500) and amazing future employed and self-employed career prospects, take the next step today with our Fast Track Software Developer Programme. What you can expect from our Fast Track Programme: World Class Education Energetic and unlimited 24/7 Student Support Real, tangible Career Outcomes 5 Years Career Support and Course Access What our programme includes: Foundation Awards CompTIA ITF+ (IT Fundamentals) Industry Recognised Qualifications Pearson IT Specialist Software Developer Pearson IT Specialist HTML5 Application Development Pearson IT Specialist HTML and CSS Pearson IT Specialist Java Pearson IT Specialist Python Pearson IT Specialist AI (Artificial Intelligence) Exams Includes all Exams and Unlimited Re-Sits 5 Years Career Support Guarantee As part of our unique Support Guarantee, our Career Support Team will assist you with: CV writing Expert careers advice Interview preparation Identifying and applying for the best opportunities in your area As a student in the Nuyew Tech Academy you will also be given exclusive access to our Career Skills Academy which includes advanced courses on Employability, CV Preparation, Interview Skills and Technique and everything else you need to get ready for your new Career. Who is this course for? This course is open to anyone interested in pursuing a Career in Software Development. Our Foundation Level provides the flexibility for us to accommodate students with any level of previous knowledge and experience. Requirements This course is open to all and has no pre-requisites All you need is a passion for technology and a strong desire to succeed. Career path Our programme is designed to enable you to achieve an Entry Level/Helpdesk role during training (£18k-£24K) ensuring that you also have the vital work experience required to enter the Tech Industry at a higher level (Av Salary £52.5K). Our Career Support Guarantee gives you exclusive access to our dedicated Career Support Team and Advanced Career Skills Academy for 5 Years following Graduation.