587 Machine Learning (ML) courses

Course Overview: The "FinTech and Big Data Analytics" course provides an in-depth exploration of the dynamic intersection between financial technology (FinTech) and big data. Learners will gain essential knowledge about the innovative solutions disrupting the financial services industry, such as cryptocurrencies, insurtech, and regtech. The course offers insights into the tools, technologies, and trends shaping the future of finance, with a specific focus on how big data analytics is transforming business models and decision-making. By the end of the course, learners will have a comprehensive understanding of FinTech's growth and its applications, enabling them to make informed decisions in this rapidly evolving field. Course Description: This course delves deeper into the core concepts of financial technology and big data, exploring the impact of FinTech innovations on traditional financial systems. Topics covered include the rise of cryptocurrencies, regulatory technology (RegTech), the development of insurance technologies (InsurTech), and the use of big data in reshaping business strategies. Learners will explore the key technologies that drive FinTech, such as blockchain, artificial intelligence (AI), and machine learning, and learn how they enable data-driven decision-making in finance. The course prepares learners for the evolving future of FinTech, equipping them with the necessary skills to understand and navigate this transformative landscape. Course Modules: Module 01: Introduction to Financial Technology – FinTech Module 02: Exploring Cryptocurrencies Module 03: RegTech Module 04: Rise of InsurTechs Module 05: Big Data Basics: Understanding Big Data Module 06: The Future of FinTech (See full curriculum) Who is this course for? Individuals seeking to understand the financial technology landscape. Professionals aiming to advance their careers in the rapidly evolving FinTech sector. Beginners with an interest in emerging financial technologies and data analytics. Entrepreneurs looking to innovate within the financial services industry. Career Path: Financial Analyst FinTech Specialist Data Analyst in Financial Services Blockchain Developer RegTech Consultant InsurTech Specialist Big Data Analyst in Finance

Data Analysis: Data Analysis Course Would you like to acquire the skills and self-assurance necessary to make wise choices and successfully traverse the intricate and ever-changing realm of data analysis? Enrol in our Data Analysis Course. The fundamentals of data, statistics, and an introduction to data analysis are all covered in this data analysis course. The how-to of data collection and its sources are explained in the Data Analysis Course. This Data Analysis Course teaches preprocessing, data cleansing, and exploratory data analysis (EDA). An overview of Excel and Python for data analysis is explained in this Data Analysis Course. This extensive Data Analysis course includes lessons on data wrangling with Pandas (Python) and data visualisation using Matplotlib and Seaborn (Python). So, quickly join our Data Analysis Course to learn the fundamentals of machine learning and statistical analysis! Special Offers with free gifts for this Data Analysis: Data Analysis Course This Data Analysis Course course includes a FREE PDF Certificate. Lifetime access to this Data Analysis Course course Instant access to this Data Analysis Course course Get FREE Tutor Support to this Data Analysis Course Course Learning Outcome of Data Analysis Course This Data Analysis Course will help you learn about: Introduction to data analysis, basics of data, and statistics. Data Analysis Course explains how to collect data and its sources. Data cleaning, processing, and exploratory data analysis (EDA) are included in this Data Analysis Course. This Data Analysis Course describes an introduction to Excel for Data Analysis and Python for Data Analysis. Data Wrangling with Pandas (Python) and Data Visualisation with Matplotlib and Seaborn (Python) are parts of this comprehensive Data Analysis Course. With the help of this Data Analysis Course, you will learn the basics of statistical analysis and machine learning. Data Analysis: Data Analysis Course Embark on a transformative journey with our Data Analysis course, designed for beginners. Dive deep into the world of data analysis, mastering essential techniques and tools. Gain practical skills in Data Analysis, empowering you to unlock insights and drive informed decisions. Start your Data Analysis journey today! Who is this course for? Data Analysis: Data Analysis Course Anyone looking to have a thorough grasp of data analysis in a commercial setting should take this Data Analysis: Data Analysis Course. Requirements Data Analysis: Data Analysis Course To enrol in this Data Analysis: Data Analysis Course, students must fulfil the following requirements. To join in our Data Analysis: Data Analysis Course, you must have a strong command of the English language. To successfully complete our Data Analysis: Data Analysis Course, you must be vivacious and self driven. To complete our Data Analysis: Data Analysis Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this Data Analysis: Data Analysis Course. Career path Data Analysis: Data Analysis Course With the assistance of this Data Analysis Course, you can obtain work as a data analyst, business analyst, marketing analyst, or in related fields.

🚀 Unleash Your Potential with the Information Enterprise Launchpad Course! 🚀 Are you ready to soar to new heights in the digital landscape? Introducing the Information Enterprise Launchpad, your ultimate guide to transforming information into success! 🌐   In today's fast-paced world, information is power. Imagine having the skills and knowledge to harness that power and turn it into a thriving enterprise. Whether you're a seasoned entrepreneur or a budding business enthusiast, this course is designed to propel you forward.   Key Features: Strategic Information Management: Learn to sift through the digital noise and extract valuable insights that can shape your business strategy. We'll guide you through the art of data analysis and interpretation. Innovative Business Models: Discover cutting-edge business models that leverage information as a core asset. From data monetization to creating a digital ecosystem, we'll explore diverse approaches that fit your unique vision. Digital Marketing Mastery: Gain a competitive edge in the digital landscape with our in-depth digital marketing modules. Learn to optimize your online presence, create compelling content, and engage with your audience effectively. Technology Integration: Stay ahead of the curve by understanding how to integrate the latest technologies into your enterprise. From AI and machine learning to blockchain, we'll demystify complex concepts and show you practical applications. Entrepreneurial Mindset Development: Cultivate the mindset of a successful entrepreneur. Overcome challenges, embrace innovation, and develop resilience in the face of uncertainty. Expert-Led Sessions: Benefit from insights shared by industry experts and successful entrepreneurs who have mastered the art of leveraging information for business growth.   What You'll Gain: ✅ Actionable Strategies: Walk away with actionable strategies that you can implement immediately to enhance your business. ✅ Networking Opportunities: Connect with like-minded individuals and industry experts through our exclusive community forums and networking events. ✅ Lifetime Access: Enjoy lifetime access to course materials and updates, ensuring that you stay at the forefront of the ever-evolving digital landscape. ✅ Certificate of Completion: Receive a prestigious certificate upon successfully completing the course, showcasing your expertise in information enterprise.   Don't miss your chance to revolutionize your approach to business in the digital age. The Information Enterprise Launchpad is your ticket to success!   🔥 Enroll now and embark on a journey to transform information into enterprise excellence! 🔥 Course Curriculum

Title: Mastering the Future: Digital Electrical Circuits and Intelligence Electrical Devices Course   Overview: Welcome to a transformative journey into the cutting-edge realm of 'Digital Electrical Circuits and Intelligence Electrical Devices.' In today's rapidly evolving technological landscape, the demand for skilled professionals who can navigate the complexities of digital circuits and intelligent devices is greater than ever. This comprehensive course is designed to equip you with the knowledge and skills needed to not only understand but also master the intricacies of digital electrical circuits and harness the power of intelligent electrical devices.   Key Features: Comprehensive Curriculum: Our course covers a wide spectrum of topics, from the fundamentals of digital electrical circuits to the advanced principles behind intelligent electrical devices. You'll delve into topics such as digital signal processing, microcontrollers, embedded systems, and more. Hands-On Learning: Theory comes to life through hands-on projects and practical exercises. You'll have the opportunity to apply your knowledge in real-world scenarios, ensuring that you not only understand the concepts but can also implement them effectively. Cutting-Edge Technologies: Stay ahead of the curve by learning about the latest advancements in digital circuits and intelligent devices. Explore the world of artificial intelligence, machine learning, and the Internet of Things (IoT) to understand how they intersect with electrical engineering. Expert Instruction: Benefit from the guidance of experienced instructors who bring a wealth of industry knowledge to the classroom. Our instructors are dedicated to your success, providing support and insights throughout the course. Industry-Relevant Projects: Gain practical experience by working on projects that mirror real-world challenges faced by professionals in the field. Build a portfolio that showcases your abilities and sets you apart in a competitive job market. Networking Opportunities: Connect with like-minded individuals and industry experts through networking events, forums, and collaborative projects. Expand your professional network and open doors to new opportunities. Flexible Learning: Designed to accommodate various schedules, our course offers flexibility through online lectures and resources. Access course materials at your own pace, allowing you to balance your learning with other commitments. Certification: Upon successful completion of the course, receive a recognized certification that validates your expertise in digital electrical circuits and intelligent electrical devices, enhancing your credibility in the job market.   Whether you're a seasoned professional looking to upskill or a student aspiring to enter the field of electrical engineering, our 'Digital Electrical Circuits and Intelligence Electrical Devices' course provides the knowledge and practical experience needed to thrive in the dynamic world of technology. Enroll now to embark on a journey towards mastering the future of electrical engineering! Course Curriculum Introduction To Digital Electric Circuits Introduction To Digital Electric Circuits 00:00 Numbering Systems Numbering Systems 00:00 Binary Arithmetic Binary Arithmetic 00:00 Logic Gates Logic Gates 00:00 Flip-Flops Flip-Flops 00:00 Counters Shift Registers Counters Shift Registers 00:00 Adders Adders 00:00

Let’s face it—no one enjoys spending hours battling stubborn weeds that just keep coming back. Whether you're managing a garden, farm, or green space, knowing your enemy is half the battle. This Weed Recognition and Management Course gives you the upper hand, helping you spot the troublemakers before they spread and take over. You'll learn how to identify common (and not-so-common) weeds by their features, growth habits, and seasonal patterns—saving you time, effort, and a good bit of frustration. This course goes beyond pulling up dandelions and hoping for the best. It offers smart strategies for weed control, covering chemical, biological, and cultural methods used across the UK. Whether you're new to plant care or already knee-deep in the gardening game, the course is clear, informative, and easy to follow. Everything is online, meaning you can learn at your own pace without muddy boots or sunburn. Key Features CPD Accredited FREE PDF + Hardcopy certificate Fully online, interactive course Self-paced learning and laptop, tablet and smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum Module 01: Introduction to Weeds and Their Impact Module 02: Weed Identification Module 03: Weed Biology and Ecology Module 04: Physical and Cultural Weed Control Methods Module 05: Chemical Weed Control Methods Module 06: Integrated Weed Management Learning Outcomes Recognize diverse weed species through advanced identification techniques. Understand the intricate biology and ecology of weeds for effective management. Apply physical and cultural methods to control weeds in various environments. Implement chemical weed control strategies with precision and environmental consciousness. Master integrated weed management for a holistic and sustainable approach. Develop expertise in weed recognition and management for practical application. Accreditation This course is CPD Quality Standards (CPD QS) accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certificate After completing this course, you will get a FREE Digital Certificate from Training Express. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Agriculture professionals seeking advanced weed management knowledge. Environmentalists aiming to contribute to ecosystem preservation. Farmers looking to enhance crop yield through effective weed control. Horticulturists interested in sustainable and integrated weed management. Landscapers desiring in-depth knowledge of weed dynamics. Conservationists striving to protect native flora and fauna. Botanists keen on understanding the ecological impact of different weed species. Individuals passionate about sustainable agriculture and environmental stewardship. Career path Agricultural Consultant Environmental Scientist Crop Protection Specialist Ecological Restoration Technician Horticulture Manager Conservation Officer Certificates Digital certificate Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. Hard copy certificate Hard copy certificate - Included Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK). For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

Fraud isn’t just a threat—it’s a costly nuisance that keeps evolving. The Fraud Detection and Prevention Insights Course offers a sharp and timely perspective into how fraud manifests across various sectors, and what can be done to stop it in its tracks. Learners are guided through emerging patterns, warning signs, and the strategic thinking used to analyse suspicious activity with precision. It’s not about ticking off tasks—it’s about understanding the game fraudsters play. Whether you’re responsible for protecting sensitive data or you're simply tired of second-guessing red flags, this course delivers clarity without fluff. With focused insights into fraudulent tactics, digital security weaknesses, and decision-making techniques, you’ll build confidence in identifying problems before they snowball. No drama, no jargon—just straight-talking knowledge from experts who’ve seen it all. Key Features CPD Accredited FREE PDF + Hardcopy certificate Fully online, interactive course Self-paced learning and laptop, tablet and smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum Module 01: An Overview of Fraud Module 02: Types of Fraud Module 03: Banking Frauds Module 04: Fraud Prevention Module 05: Fraud Detection Module 06: Fraud Evidence Module 07: Fraud Response Module 08: Fraud Investigations Module 09: Bribery Module 10: Laws & Legislation and Court Room Learning Outcomes: Identify various fraud types for proactive prevention. Implement effective strategies to detect and investigate banking frauds. Analyse and present compelling fraud evidence in legal contexts. Develop a robust response plan to mitigate the impact of fraud. Navigate bribery challenges through informed decision-making. Demonstrate a comprehensive understanding of relevant laws and legislation. Accreditation This course is CPD Quality Standards (CPD QS) accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certificate After completing this course, you will get a FREE Digital Certificate from Training Express. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Finance professionals seeking fraud expertise. Law enforcement personnel focusing on financial crimes. Risk management specialists enhancing fraud prevention skills. Legal professionals involved in fraud-related cases. Auditors aiming to strengthen fraud detection capabilities. Compliance officers ensuring adherence to anti-fraud measures. Corporate investigators tackling internal fraud challenges. Students pursuing a career in fraud detection and prevention. Career path Fraud Analyst Financial Investigator Compliance Officer Forensic Accountant Risk Management Specialist Banking Security Consultant Certificates Digital certificate Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. Hard copy certificate Hard copy certificate - Included Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK). For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

Do you want to learn to use a sewing machine but don’t know where to start? YOUR SEWING JOURNEY STARTS HERE I’ve been teaching complete beginners to sew since 2009 LEARN A LIFE-SKILL, SAVE MONEY & BOOST FEELINGS OF WELLBEING I’ve created an online video course based on my successful classes running since 2009 using the easiest-to-follow methods. It’s been tried & tested by children as young as 8 years old for a whole year….They LOVED it & we guarantee you will too! THIS COURSE IS FOR ANYONE AGED 10-100 YEARS If you’re a beginner your age doesn’t matter! Both children & adults have used this course with ease. In fact the kids are often quicker learners! ✂️ THINKING ABOUT BUYING A SEWING MACHINE? My advice is to buy BASIC. No whistles & bells!  As long as the machine can do a straight stitch & a zig zag stitch that’s all you’ll need. Most machines have a few embroidery stitches too.  Avoid toy machines & go for the most basic version of a good brand.   USING OUR HANDS CREATIVELY IS PROVEN TO MAKE US 🖐✂️🧵😃 FEEL HAPPY 😃🧵✂️🖐 You can do everything you need on a basic machine including free style embroyery Amanda Recommends… WHAT YOU’LL LEARN BLOCK 1 - FIRST THINGS FIRST ✔️Let’s look at a sewing machine ✔️Speed control & turning corners ✔️How to sew a seam ✔️How to pin, cut & place a template BLOCK 2 - THREADING UP ✔️Winding a bobbin ✔️The top thread-up ✔️Inserting a bobbin on top loaders  ✔️Inserting a bobbin on front loaders BLOCK 3 - SEW A SUNGLASSES CASE ✔️Practise what you’ve learned & achieve your first little project make ✔️Learn all about backstitch & why it’s important BLOCK 4 - ALL THE HELP YOU'LL NEED ✔️How to solve stitching issues ✔️Choosing & changing needles ✔️Getting unstuck ✔️Looking after your machine LEARNING TO SEW HAS COUNTLESS BENEFITS….. Sewing helps to extend focus & concentration. As we must concentrate for longer periods of time. It’s great for those who struggle to stay focused. It reduces time spent on social media. Instead of scrolling we use our hands creatively making. Sewing promotes good mental health. It increases self-esteem through empowerment & creativity. It makes us happy! Dexterity & hand strength improve. Cutting, pinning & making are ways of strengthening hands our tools for life! We help to save the planet by extending the life of clothes. Clothing won’t end up in landfill if we upcycle it. Extending the life of clothes by 9 months reduces their carbon footprint by 20-30% It teaches us how to save money. It’s a useful life-skill we can use to alter, update, customise, remake or repair instead of buying new things. It’s such a great feeling to be able to say “ I made it myself” WHAT DO I NEED? Not that much!  You’ve probably got most things at home already. ✂️🧵📍✏️🎧👖📄📏 You can learn at your own speed at home or sew with your friends It’s much cheaper than attending classes MEET YOUR INSTRUCTOR…..AMANDA RILEY  Amanda Riley is a Fashion Designer & environmentalist. She has been teaching complete beginners the art of diy fashion and eco-sewing since 2009. After realising the horrendous environmental impact of fashion she started her masterclass workshops at The Fashion Factory, for 8-16 year olds as an antidote to fast fashion.  “ I saw an increase in social media use & the reduction of practical & creative subjects in schools. Many children are missing out on life skills, creativity, dexterity & the ability to focus. I felt I had to do something”  “My eco-sewing programme focuses on learning via upcycling unwanted textiles into cool new stuff. The products & video lessons are designed to keep young people engaged and coming back for more. I’ve ripped up the sewing rule books and introduced a new way of learning this hugely rewarding life skill.”  Her students have appeared in Vogue, in the Fashion Factory book (Amazon) & many have gone on to study for creative careers. She was selected as a top 100 changemaker in 2021 by the Big Issue.

Develop Big Data Pipelines with R, Sparklyr & Power BI Course Overview: This course offers a comprehensive exploration of building and managing big data pipelines using R, Sparklyr, and Power BI. Learners will gain valuable insight into the entire process, from setting up and installing the necessary tools to creating effective ETL pipelines, implementing machine learning techniques, and visualising data with Power BI. The course is designed to provide a strong foundation in data engineering, enabling learners to handle large datasets, optimise data workflows, and communicate insights clearly using visual tools. By the end of this course, learners will have the expertise to work with big data, manage ETL pipelines, and use Sparklyr and Power BI to drive data-driven decisions in various professional settings. Course Description: This course delves into the core concepts and techniques for managing big data using R, Sparklyr, and Power BI. It covers a range of topics including the setup and installation of necessary tools, building ETL pipelines with Sparklyr, applying machine learning models to big data, and using Power BI for creating powerful visualisations. Learners will explore how to extract, transform, and load large datasets, and will develop a strong understanding of big data architecture. They will also gain proficiency in visualising complex data and presenting findings effectively. The course is structured to enhance learners' problem-solving abilities and their competence in big data environments, equipping them with the skills needed to manage and interpret vast amounts of information. Develop Big Data Pipelines with R, Sparklyr & Power BI Curriculum: Module 01: Introduction Module 02: Setup and Installations Module 03: Building the Big Data ETL Pipeline with Sparklyr Module 04: Big Data Machine Learning with Sparklyr Module 05: Data Visualisation with Power BI (See full curriculum) Who is this course for? Individuals seeking to understand big data pipelines. Professionals aiming to expand their data engineering skills. Beginners with an interest in data analytics and big data tools. Anyone looking to enhance their ability to analyse and visualise data. Career Path: Data Engineer Data Analyst Data Scientist Business Intelligence Analyst Machine Learning Engineer Big Data Consultant

If data is the new oil, then coding is your refinery. Whether you're exploring the depths of machine learning or navigating databases with ease, this course sharpens your edge in the competitive world of data science. With a sharp focus on three industry-leading languages—Python, JavaScript, and Microsoft SQL—you’ll build the solid foundations needed to analyse, automate, and query data confidently. From writing clean scripts to crafting smart SQL queries, you’ll develop the mindset to speak fluently in the language of data. Delivered entirely online, the course keeps your learning agile and accessible. Python lays the groundwork for analysis and automation, JavaScript helps in data visualisation and interaction, and SQL ensures you can command databases without blinking. It's not about ticking boxes—it’s about building fluency in what matters. Whether you're upskilling or aiming for a sharper digital edge, this course speaks directly to future-focused learners ready to code with purpose. Expert Support Dedicated tutor support and 24/7 customer support are available to all students with this premium quality course. Key Benefits Learning materials of the Design course contain engaging voiceover and visual elements for your comfort. Get 24/7 access to all content for a full year. Each of our students gets full tutor support on weekdays (Monday to Friday) Course Curriculum: JavaScript Section 01: Introduction Section 02: Basics Section 03: Operators Section 04: Conditional Statements Section 05: Control Flow Statements Section 06: Functions Section 07: Error Handling Section 08: Client-Side Validations Python Section 09: Introduction Section 10: Basic Section 11: Strings Section 12: Operators Section 13: Data Structures Section 14: Conditional Statements Section 15: control flow statements Section 16: core games Section 17: functions Section 18: args, KW args for Data Science Section 19: project Section 20: Object oriented programming [OOPs] Section 21: Methods Section 22: Class and Objects Section 23: Inheritance and Polymorphism Section 24: Encapsulation and Abstraction Section 25: OOPs Games Section 26: Modules and Packages Section 27: Error Handling Microsoft SQL Section 28: Introduction Section 29: Statements Section 30: Filtering Data Section 31: Functions Section 32: Joins Section 33: Advanced commands Section 34: Structure and Keys Section 35: Queries Section 36: Structure queries Section 37: Constraints Section 38: Backup and Restore Course Assessment To simplify the procedure of evaluation and accreditation for learners, we provide an automated assessment system. Upon completion of an online module, you will immediately be given access to a specifically crafted MCQ test. The results will be evaluated instantly, and the score will be displayed for your perusal. For each test, the pass mark will be set to 60%. When all tests have been successfully passed, you will be able to order a certificate endorsed by the Quality Licence Scheme. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). Who is this course for? This Learn Python, JavaScript, and Microsoft SQL for Data science course is designed to enhance your expertise and boost your CV. Learn key skills and gain a certificate of achievement to prove your newly-acquired knowledge. Requirements This Learn Python, JavaScript, and Microsoft SQL for Data science course is open to all, with no formal entry requirements. Career path Upon successful completion of the Learn Python, JavaScript, and Microsoft SQL for Data science Course, learners will be equipped with many indispensable skills and have the opportunity to grab.

Amazon Web Services (AWS) has reshaped the way businesses operate in the digital space. From cloud computing and secure data storage to scalable infrastructure and machine learning tools, AWS provides a reliable platform that meets the evolving demands of organisations across industries. Whether you’re an aspiring cloud architect or simply looking to sharpen your knowledge of cloud systems, this course is your go-to guide for understanding the core services and capabilities of AWS. In this online course, you’ll be introduced to the key features of AWS and how they are used in professional environments—from managing resources to automating processes with cloud-native tools. The content is structured to deliver clarity without the jargon, giving you the insights needed to navigate the AWS landscape with confidence. It’s an ideal choice for anyone aiming to build their cloud knowledge efficiently, without the extra fluff. Let AWS speak for itself—because once you understand how it works, it’s easy to see why it’s become the global leader in cloud technology. Learning outcomes: Understanding the basics of AWS infrastructure and services Learning how to launch a server on AWS Knowledge of data storage options and how to use them in AWS Understanding AWS security and how to implement it in your projects Learning deployment techniques and how to deploy a project on AWS This course is designed for individuals who want to learn about Amazon Web Services (AWS) and how to use its features to host and deploy applications. The course covers the fundamentals of AWS, including launching a server, data storage, security, and deployment. The course includes hands-on activities that allow learners to practice using AWS services and tools. By the end of the course, learners will have the knowledge and skills needed to build and deploy applications on AWS. Amazon Web Services (AWS) Course Curriculum Section 01: Introduction Section 02: Launching a Server Section 03: AWS - Data Storage Section 04: AWS - Java API Section 05: AWS - CLI Section 06: AWS - S3 Static Website Section 07: AWS - Security Section 08: AWS - Deployment Section 09: AWS - Security Continued How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Developers who want to learn how to host and deploy applications on AWS IT professionals who want to learn how to use AWS for infrastructure management Anyone who wants to learn about cloud computing and AWS services Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path AWS Developer: £40,000 - £85,000 AWS Solutions Architect: £60,000 - £110,000 AWS DevOps Engineer: £50,000 - £95,000 Cloud Infrastructure Engineer: £40,000 - £90,000 IT Manager - Cloud Services: £50,000 - £100,000 Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.