AI is no longer a distant concept—it’s here, it’s evolving fast, and Python is the language fuelling much of its momentum. Whether you’re curious about machine learning, neural networks, or automation, this course offers a sharp and structured approach to understanding artificial intelligence using Python. From foundational concepts to intelligent algorithm design, you'll gain a clear insight into how machines simulate thought and decision-making. Ideal for those who want to stay ahead of the tech curve, this course unpacks Python-based AI with clarity and a touch of dry charm. You won’t need to decipher jargon or get tangled in theory-heavy lectures. Instead, you’ll find logic, code, and clever explanations that speak to learners who value smart learning over flashiness. AI with Python might sound complex, but once you've seen it broken down our way, it’ll feel like you’ve learned to speak the language of the future. Learning Outcomes: Develop an understanding of the principles and practices of Artificial Intelligence (AI) Learn effective strategies for detecting patterns and natural language processing Develop analytical skills for creating AI models and programs Understand Python programming language and its applications in AI Be able to make informed decisions and navigate the complex and dynamic world of AI The "Learn AI with Python" course is designed to provide a comprehensive understanding of the principles and practices that underpin successful AI programming. Through engaging modules and real-world case studies, learners will gain insights into the basics of AI, advanced techniques for detecting patterns and natural language processing, and effective strategies for creating AI models and programs using Python programming language. By the end of the course, learners will be equipped with the knowledge and skills to make informed decisions and navigate the complex and dynamic world of AI. Whether you're a beginner or an experienced programmer, this course is a must-have for anyone interested in the world of AI. Learn AI with Python Course Curriculum Section 01: Introduction Section 02: Class Imbalance and Grid Search Section 03: Adaboost Regressor Section 04: Detecting patterns with Unsupervised Learning Section 05: Affinity Propagation Model Section 06: Clustering Quality Section 07: Gaussian Mixture Model Section 08: Classifiers Section 09: Logic Programming Section 10: Heuristic Search Section 11: Natural Language Processing 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? Programmers looking to enhance their AI skills Business professionals interested in AI applications Computer science students interested in AI Entrepreneurs looking to incorporate AI into their products or services Anyone interested in gaining a comprehensive understanding of AI and its applications Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path AI Programmer: £30,000 - £70,000 per year Data Scientist: £30,000 - £80,000 per year Machine Learning Engineer: £35,000 - £90,000 per year AI Researcher: £40,000 - £100,000 per year Software Developer: £25,000 - £70,000 per year 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.
In today’s fast-moving financial world, digital banking is no longer a novelty but a necessity. This Digital Banking for Beginners Course provides a clear and engaging introduction to the essentials of managing finances online, from setting up accounts to understanding mobile payments and security protocols. Designed for newcomers, the course guides you through the digital banking landscape with simplicity and clarity, ensuring you gain confidence in navigating apps and platforms without feeling overwhelmed. Delivered entirely online, the course balances informative content with a touch of light-hearted professionalism, making the learning process both enjoyable and effective. You’ll explore how technology is reshaping banking, appreciate the benefits of digital tools, and develop the awareness needed to manage your money safely and smartly. Whether you’re looking to improve personal finance management or just want to understand the buzz around digital banking, this course offers a straightforward pathway into the digital financial world. Learning Outcomes: By the end of this course, students will be able to: Understand the evolution of digital banking and its impact on the banking sector Analyse the difference between traditional banking and new-gen banking Evaluate the role of internet banking, mobile banking, and direct banking in digital banking Assess the impact of social media on banking and the arrival of fintech firms Explore the innovative technologies used in digital banking, such as AI, ML, blockchain, and big data Digital banking has emerged as a new paradigm in the banking industry. This course covers the story of digital banking, highlighting the evolution from traditional banking to new-gen banking. It covers the proliferation of internet banking, mobile banking, and the concept of direct banking, providing an overview of the different types of digital banking services available. The course also examines the use of social media in banking and the arrival of fintech firms, exploring their impact on the banking sector. The course delves into innovative technologies, such as artificial intelligence, machine learning, blockchain, and big data, providing an understanding of their use in digital banking. It also covers the illustrative CIO wishlist, highlighting the key technologies required to complement or enable comprehensive digital banking. Students will gain a comprehensive understanding of the digital banking landscape and how it is transforming the banking sector. 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 £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? The course is ideal for highly motivated individuals or teams who want to enhance their professional skills and efficiently skilled employees. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Completion of this course can lead to a range of career opportunities in the banking industry, including: Digital Banking Consultant (£35,000 - £70,000) Digital Marketing Manager (£25,000 - £50,000) Fintech Business Analyst (£30,000 - £60,000) Data Analyst - Banking (£25,000 - £50,000) Customer Service Advisor - Digital Banking (£18,000 - £25,000) 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.
Are you looking to enhance your Healthcare Assistant skills? If yes, then you have come to the right place. Our comprehensive course on Healthcare Assistant will assist you in producing the best possible outcome by mastering the Healthcare Assistant skills. The Healthcare Assistant course is for those who want to be successful. In the Healthcare Assistant course, you will learn the essential knowledge needed to become well versed in Healthcare Assistant. Our Healthcare Assistant course starts with the basics of Healthcare Assistant and gradually progresses towards advanced topics. Therefore, each lesson of this Healthcare Assistant course is intuitive and easy to understand. Why would you choose the Healthcare Assistant course from Compliance Central: Lifetime access to Healthcare Assistant course materials Full tutor support is available from Monday to Friday with the Healthcare Assistant course Learn Healthcare Assistant skills at your own pace from the comfort of your home Gain a complete understanding of Healthcare Assistant course Accessible, informative Healthcare Assistant learning modules designed by experts Get 24/7 help or advice from our email and live chat teams with the Healthcare Assistant Study Healthcare Assistant in your own time through your computer, tablet or mobile device. A 100% learning satisfaction guarantee with your Healthcare Assistant Course Healthcare Assistant Curriculum Breakdown of the Healthcare Assistant Course Module 01: Working in Different Healthcare Settings Module 02: Understanding Legal, Professional Standards of Practice and Ethical Aspects of Health Care Part - 1 Module 03: Understanding Legal, Professional Standards of Practice and Ethical Aspects of Health Care Part - 2 Module 04: Maintaining Medical Records Module 05: Confidentiality in a Medical Environment Module 06: Health and Safety Responsibilities Module 07: Hygiene in Nursing Module 08: Infection Control Module 09: Mobility and Immobility Issues of Patients in Nursing Module 10: Rights and Responsibilities as a Health and Social Care Worker Module 11: Role as A Caregiver and Healthcare Professional Module 12: Providing Care or Treatment to People Who Lack Capacity Module 13: Managing Service Delivery in Health and Social Care Module 14: Medical Jargon and Terminology Module 15: Effects of Covid-19 on Human Life Module 16: Preventions and Social Measures to Be Taken Module 17: Information Technology in Health Care Module 18: Artificial Intelligence, Data Science and Technological Solutions against Covid-19 CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Healthcare Assistant course helps aspiring professionals who want to obtain the knowledge and familiarise themselves with the skillsets to pursue a career in Healthcare Assistant. It is also great for professionals who are already working in Healthcare Assistant and want to get promoted at work. Requirements To enrol in this Healthcare Assistant course, all you need is a basic understanding of the English Language and an internet connection. Career path The Healthcare Assistant course will enhance your knowledge and improve your confidence in exploring opportunities in various sectors related to Healthcare Assistant. Certificates CPD Accredited PDF Certificate Digital certificate - Included CPD Accredited PDF Certificate CPD Accredited Hard Copy Certificate Hard copy certificate - £10.79 CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: Free Outside of the UK: £9.99 each
Isn't it interesting that you searched for something on the internet and some relevant results appeared? Alternatively, you can enter your daily data into a health app that automatically recommends a diet and exercise routine for you. All of this would not have been possible without data science. The modern world is entirely dependent on Machine Learning, Artificial Intelligence, Neural networks or data science in one phrase. Data science is a new field with no established leaders. It's too difficult to decide which one to learn, which leads to even more frustration because you can't make any progress. It is becoming more important, but the market for skilled data scientists is limited and competitive. What if you are one of those individuals? If you have a background in maths or statistics, we have good news: you can become a data scientist with little training! Anyone can become a data scientist with the help of our Data Science courses. Whatever your background, this training will teach you how to analyse and interpret data to generate new insights that lead to better decisions and results. Our interactive materials set us apart and make us more effective for our students. So don't be late to take your place. Enrol now! Learning Outcomes Understanding of the basic concepts and techniques in data science, such as data exploration, cleaning, and preprocessing Knowledge of statistical analysis methods, including hypothesis testing, regression analysis Learn probability theory and it's use in Data science Knowledge of Advanced regression & machine learning algorithms Ability to communicate data science results effectively to a non-technical audience. Key Highlights for Data Science Course: Developed by industry experts Instant e-certificate and hard copy dispatch by the next working day Interactive course with audio voice-over 24/7 Learning Assistance Lifetime access & update without any limits Unlimited Retake Exam and premium support for life Easy Accessibility to the Course Materials- Anytime, Anywhere - From Any Smart Device (Laptop, Tablet, Smartphone Etc.) 100% Learning satisfaction guarantee Covers to explore multiple job positions One-stop solution for entrepreneurs and Jobseekers Fastest growing sector Boost your salary on program completion Learn from diligent experts Expert-verified response for quality education So, You should not wait too long. Now is the time to enrol! Learn at your own pace from the comfort of your home, as the rich learning materials of this course are accessible from any place at any time. The curriculums are divided into tiny bite-sized modules by industry specialists. And you will get answers to all your queries from our experts. So, enrol and excel in your career with Compliance Central. Curriculum Breakdown of the Course Section 01: Let's get started Section 02: Descriptive statistics Section 03: Distributions Section 04: Probability theory Section 05: Hypothesis testing Section 06: Regressions Section 07: Advanced regression & machine learning algorithms Section 08: ANOVA (Analysis of Variance) Section 09: Wrap up CPD 15 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this course. Requirements To enrol in this Data Science course, all you need is a basic understanding of the English Language and an internet connection. Career path After completing this course, you can explore trendy and in-demand jobs related to Data Science, such as- Data Analyst: £25,000 to £45,000 per year Data Scientist: £35,000 to £60,000 per year Business Intelligence (BI) Analyst: £30,000 to £50,000 per year Machine Learning Engineer: £40,000 to £70,000 per year Data Engineer: £35,000 to £60,000 per year Data Consultant: £45,000 to £75,000 per year Certificates CPD Accredited Hard Copy Certificate Hard copy certificate - Included CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: £3.99 each Outside of the UK: £9.99 each CPD Accredited PDF Certificate Digital certificate - Included CPD Accredited PDF Certificate
Stock markets move with more mystery than a magician’s deck of cards — but behind every dramatic rise and cryptic dip lies data, and data tells a story. This course dives straight into that narrative using deep learning techniques to forecast stock prices with logic, precision, and a pinch of technical finesse. Ideal for those ready to apply neural networks in finance-focused projects, the course simplifies complex theories without watering down their analytical power. From sequence modelling to time-series predictions using LSTM and beyond, you’ll explore how deep learning tools are being used to understand financial patterns and fluctuations. This course isn’t about abstract theory or vague strategies — it’s a focused look at how data science meets deep learning in the stock market sphere. Whether you’re a data enthusiast or an aspiring financial analyst, this course offers you the clarity and direction needed to interpret and anticipate stock price movement with greater confidence. Learning Outcomes: Build a deep learning model using RNN that can accurately predict stock prices. Preprocess data and perform exploratory data analysis. Scale features and make predictions on test data. Gain real-world experience in deep learning development. Contribute to the development of cutting-edge technology in the finance industry. The Hands-on Deep Learning Projects - Stock Price Prognostics course is designed to provide you with the skills and knowledge needed to develop a deep learning model using RNN that can accurately predict stock prices. In this course, you'll learn how to preprocess data, perform exploratory data analysis, scale features, and make predictions on test data. The course is perfect for aspiring data scientists, machine learning engineers, and developers interested in deep learning development. By the end of this course, you'll have a deep understanding of how to build a deep learning model that can revolutionise the world of finance. With hands-on experience in developing cutting-edge technology, you'll be well-equipped to start a career in deep learning and contribute to the development of cutting-edge technology in the finance industry. Hands on Deep Learning Projects - Stock price Prognostics Course Curriculum Section 01: Introduction Section 02: Installation of Tools and Libraries Section 03: Dataset Section 04: EDA Section 05: Feature Scaling Section 06: Building RNN Section 07: Prediction on Test Data Section 08: Output 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? Aspiring data scientists. Machine learning engineers. Developers interested in deep learning development. Anyone interested in the field of deep learning. Professionals looking to upskill in the latest technology. Career path Data Scientist: £40,000 to £80,000 per year. Machine Learning Engineer: £55,000 to £90,000 per year. Artificial Intelligence Developer: £40,000 to £80,000 per year. Quantitative Analyst: £30,000 to £80,000 per year. Financial Data Analyst: £25,000 to £60,000 per year. 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.
Dive into the fascinating world of deep learning with this expertly crafted course designed to unravel the mysteries of neural networks using R. This course guides you through the core principles of neural networks, illustrating how layers of algorithms mimic the human brain’s ability to identify patterns and make decisions. Whether you’re a data enthusiast or a professional seeking to enhance your analytical toolkit, this course offers a clear and engaging path to understanding deep learning concepts through the power of R programming. With a sharp focus on theory and application, you will explore how to build, train, and optimise neural networks effectively, while leveraging R’s rich ecosystem of libraries and tools. The course content is designed to maintain a perfect balance between depth and clarity, making complex topics accessible without oversimplification. By the end, you will be equipped with a strong conceptual foundation and the confidence to approach deep learning projects with R, all through an engaging online format that fits seamlessly into your schedule. Learning Outcomes: Understanding of single-layer and multi-layer neural networks Knowledge of R programming for neural network applications Implementation of neural networks in real-world projects Familiarity with agriculture and war datasets for neural network modelling Ability to evaluate neural network model accuracy and performance The Deep Learning Neural Network with R course is designed to provide learners with a comprehensive understanding of how to build and evaluate neural networks using R programming language. The course includes four modules that cover single-layer and multi-layer neural networks applied to agriculture and war datasets. Each module contains practical hands-on projects that allow learners to gain real-world experience in neural network development and evaluation. By the end of the course, learners will have a solid understanding of neural network concepts, R programming language, and practical experience with real-world datasets. Deep Learning Neural Network with R Course Curriculum Section 01: Single Layer Neural Networks Project - Agriculture (Part - 1) Section 02: Single Layer Neural Networks Project - Agriculture (Part - 2) Section 03: Multi-Layer Neural Networks Project - Deaths in wars (Part - 1) Section 04: Multi-Layer Neural Networks Project - Deaths in wars (Part - 2) 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? Data analysts and scientists seeking to expand their knowledge of neural networks and R programming Professionals interested in applying neural networks to agriculture or war datasets Students and researchers interested in deep learning and machine learning techniques Anyone looking to enhance their skills in data analysis and modelling using neural networks and R programming Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Data Analyst Machine Learning Engineer Data Scientist Artificial Intelligence Developer Research Scientist Entry-level positions such as Data Analysts can expect to earn between £25,000 to £35,000 per annum, whereas senior-level positions such as Machine Learning Engineers can earn upwards of £70,000 per annum. 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.
If you're fascinated by the mysteries of market movement and want to explore how machines attempt to predict tomorrow's numbers today, this Stock Price Prognostics Course will suit your curious streak perfectly. Built around deep learning models tailored for time series forecasting, the course takes a closer look at how algorithms can be trained to recognise patterns, spot trends, and occasionally raise an eyebrow at the randomness of stock data. It’s technical, structured, and surprisingly satisfying — no crystal ball involved, just code that tries its best. Focusing on stock price prognostics through real datasets, the course guides you through model building, evaluation metrics and common forecasting techniques using neural networks — all in plain English, with clear explanations and zero mystique. It’s suited to those who enjoy a challenge, appreciate a bit of data drama, and prefer graphs that actually say something. Whether you're brushing up on deep learning or building from the ground up, this course connects theory with application in a focused, jargon-light approach — and no need to wear a tie or trade a share. Learning Outcomes: Build a deep learning model using RNN that can accurately predict stock prices. Preprocess data and perform exploratory data analysis. Scale features and make predictions on test data. Gain real-world experience in deep learning development. Contribute to the development of cutting-edge technology in the finance industry. The Hands-on Deep Learning Projects - Stock Price Prognostics course is designed to provide you with the skills and knowledge needed to develop a deep learning model using RNN that can accurately predict stock prices. In this course, you'll learn how to preprocess data, perform exploratory data analysis, scale features, and make predictions on test data. The course is perfect for aspiring data scientists, machine learning engineers, and developers interested in deep learning development. By the end of this course, you'll have a deep understanding of how to build a deep learning model that can revolutionise the world of finance. With hands-on experience in developing cutting-edge technology, you'll be well-equipped to start a career in deep learning and contribute to the development of cutting-edge technology in the finance industry. â±â± Hands on Deep Learning Projects - Stock price Prognostics Course Curriculum Section 01: Introduction Section 02: Installation of Tools and Libraries Section 03: Dataset Section 04: EDA Section 05: Feature Scaling Section 06: Building RNN Section 07: Prediction on Test Data Section 08: Output 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 £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? Aspiring data scientists. Machine learning engineers. Developers interested in deep learning development. Anyone interested in the field of deep learning. Professionals looking to upskill in the latest technology. Career path Data Scientist: £40,000 to £80,000 per year. Machine Learning Engineer: £55,000 to £90,000 per year. Artificial Intelligence Developer: £40,000 to £80,000 per year. Quantitative Analyst: £30,000 to £80,000 per year. Financial Data Analyst: £25,000 to £60,000 per year. 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.
Machine learning isn’t just for self-driving cars and game-playing robots—it’s also helping identify whether someone’s wearing a mask or not. This course takes you through the full project lifecycle of building a Covid Mask Detector, using one of the most relevant applications of computer vision in recent years. Whether you're a data enthusiast or a coding hobbyist, you’ll enjoy diving into this machine learning challenge with a purpose that’s easy to relate to and timely. With clear, structured guidance, you'll explore how to prepare image data, train a neural network, and apply detection techniques—all from the comfort of your own screen. The content is delivered with clarity and a dash of wit, making the learning journey not just informative, but surprisingly enjoyable. You’ll walk away with confidence in building a full machine learning project, specifically tailored for image classification, and yes—taught in plain, human English (no jargon jungle here). Whether you're brushing up your Python skills or simply curious how AI spots face masks, this course offers an insightful experience in smart automation, delivered with a professional tone and just enough character to keep you grinning as you code. Learning Outcomes: Develop a Covid mask detector using machine learning. Master OpenCV, a popular computer vision library. Build models with TensorFlow. Design and build the app, upload files, and deploy it on AWS. Gain valuable experience in machine learning app development. The Hands-on Machine Learning Project - Covid Mask Detector course is designed to provide you with the skills and knowledge needed to develop a mask detector using deep learning. In this course, you'll learn how to master OpenCV, an open-source computer vision library used for image processing and face detection. You'll also learn how to build and train a deep learning model using Tensorflow, a popular machine learning framework. The course is perfect for aspiring data scientists, machine learning engineers, and developers who want to make a positive impact on society by contributing to public health and safety efforts. By the end of this course, you'll have a deep understanding of how to develop a mask detector app that can be used to detect whether individuals are wearing masks in public spaces. You'll be able to master OpenCV and use it to preprocess and detect faces in images. You'll also learn how to build and train a deep learning model using TensorFlow and how to deploy your mask detector app on AWS. This course provides a unique opportunity for individuals to gain real-world experience in developing cutting-edge technology that can make a positive impact on society. Hands on Machine Learning Project - Covid Mask Detector Course Curriculum Section 01: Introduction Introduction to Course Section 02: Mastering OpenCV Getting System Ready Read and Write Images Resize and Crop Working with Shapes Working with Text Section 03: Pre-Requisite for Face Detection Pre-Requisite for Face Detection Detect the Face Section 04: Deep Learning with Tensorflow Introduction to Deep Learning with Tensorflow Model Building Training the Mask Detector Saving the Best Model Basic Front End Design of App File Upload Interface for App App Prep App Build and Testing AWS Deployment AWS Deployment 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? Aspiring data scientists. Machine learning engineers. Developers interested in machine learning app development. Anyone interested in developing technology to fight the pandemic. Professionals looking to upskill in the latest technology. Career path Data Scientist: £40,000 to £80,000 per year. Machine Learning Engineer: £55,000 to £90,000 per year. Artificial Intelligence Developer: £40,000 to £80,000 per year. Computer Vision Engineer: £40,000 to £80,000 per year. Deep Learning Engineer: £55,000 to £90,000 per year. Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9.
Looking to bring your AI knowledge to life in a visually powerful way? Our Hands-on Machine Learning Project – Auto Image Captioning for Social Media Course takes you deep into the fascinating world of machine-generated descriptions. With social media driving more engagement through visuals than ever, this course helps you grasp how AI can generate captions that not only describe but also engage, contextualise, and communicate effectively. The focus is sharply tuned to image captioning technology and its role in today’s media-driven, attention-tight landscape. Expect to work your way through a structured learning journey where you’ll explore the building blocks of machine learning and how these elements are applied in automated image captioning. Whether you're aiming to polish your ML project portfolio or understand how AI is quietly shaping the way content is created and consumed online, this course gives you just the right amount of edge — no gimmicks, no fluff, just what matters. All content is delivered fully online, making it a flexible and accessible way to deepen your understanding of AI-powered communication tools used across social media platforms. Learning Outcomes: Develop an auto image captioning system using machine learning. Preprocess image and caption data. Define and evaluate the model. Deploy your machine learning app on AWS EC2 instance.Gain real-world experience in machine learning app development. The Hands-on Machine Learning Project - Auto Image Captioning for Social Media Platform course is designed to give you a comprehensive understanding of how to develop an auto image captioning system using machine learning. The course covers topics such as importing libraries, preprocessing text and image data, defining and evaluating the model, and deploying your machine learning app on AWS EC2 instance. You'll have access to the caption dataset and image dataset for training and test purposes, providing you with hands-on experience in machine learning app development. This course is perfect for aspiring data scientists, machine learning engineers, and developers who want to gain real-world experience in machine learning app development. With the skills and knowledge gained from this course, you'll be able to create your own auto image captioning system and start a career in the exciting field of machine learning. Hands on Machine Learning Project - Auto Image Captioning for Social Media Course Curriculum Section 01: Introduction Introduction to Course Section 02: Building the Auto Image Captioning Import the Libraries Accessing the Caption Dataset for Training Accessing the Image DataSet for Training Preprocessing the Text Data Pre-Process and Load Captions Data Loading the Captions for Training and Test Data Preprocessing of Image Data Loading Features for Train and Test Dataset Text Tokenization and Sequence Text Data Generators Define the Model Evaluation of Model Test the Model Section 03: Deployment of Machine Learning App Create Streamlit App Streamlit Prediction Test Streamlit App Deploy Streamlit on AWS EC2 Instance 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? Aspiring data scientists. Machine learning engineers. Developers interested in machine learning app development. Anyone interested in the field of machine learning. Professionals looking to upskill in the latest technology. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Data Scientist: £40,000 to £80,000 per year. Machine Learning Engineer: £55,000 to £90,000 per year. Software Developer: £30,000 to £60,000 per year. Artificial Intelligence Developer: £40,000 to £80,000 per year. Computer Vision Engineer: £45,000 to £85,000 per year. 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.
The Covid-19 Health Awareness and Food Safety Course is designed to give you a solid understanding of health risks, hygiene standards, and food safety measures during and beyond the pandemic era. With public health taking centre stage, knowing how viruses spread, how to manage contamination risks, and how to uphold food hygiene standards has never been more essential—whether you’re working in hospitality, food retail, or simply want to sharpen your knowledge. This course walks you through key concepts with clarity, helping you stay informed and aware without the headache of medical jargon. You’ll learn what Covid-19 is, how it behaves, and why food handling and hygiene are so closely linked to disease prevention. This is not about scaring you with science—it’s about giving you the facts, the reasoning, and the habits that matter. From safe food preparation to understanding cross-contamination, this course takes a no-nonsense approach while keeping things digestible (pun intended). Stay up to date, stay safe, and feel confident that you know what it takes to protect yourself and others—without needing a lab coat. Why People Love And Enrol in The Course From One Education Eligibility for an CPD-accredited certificate on successful completion of the course Learning materials of our course contains engaging voiceover and visual elements for your comfort Freedom to study at your own pace 24/7 access to the course materials for 12 months Full Tutor support on weekdays (Monday - Friday) This masterclass Covid 19 Health Awareness and Food Safety online training course is designed by industry experts and will give you an in-depth understanding of this topic. The course features easy-to-digest modules that break down each topic and ensure all our students receive an unrivalled and thorough learning experience. If you want to work in this rapidly growing sector and stand out from the competition, then our Covid 19 Health Awareness and Food Safety course is the perfect place to kickstart your dream career. On the Covid 19 Health Awareness and Food Safety course, we guarantee that you will gain relevant skills and acquire tremendous knowledge on the subject. The certificate you'll achieve after completing the course will help you land the job you want in a related field. Enjoy a pleasant and professional 100% online learning experience and enrol in our course today and take control of your career! Course Curriculum: Here is a curriculum breakdown of the course: Module 1: Introduction to Covid-19 Module 2: Understanding of Covid-19 as a Pandemic and How It Is Related to Zoonotic Diseases Like SARS and MERS Module 3: Effects of Covid-19 on Human Life Module 4: Diagnoses and Treatments Module 5: Preventions and Social Measures to Be Taken Module 6: Artificial Intelligence, Data Science and Technological Solutions against Covid-19 Module 7: Food Storage Module 8: Food Preparation and Processing for Food Manufacturing Module 9: Food and Temperature Control Module 10: Hazard Control Measures and Refrigeration Module 11: Physical, Chemical and Allergenic Hazards Module 12: Food Hygiene and Safety: Legislation Method of Assessment To successfully complete the Covid 19 Health Awareness and Food Safety course, students will have to take an automated multiple-choice exam. This exam will be online and you will need to score 60% or above in order to pass. After successfully passing the Covid 19 Health Awareness and Food Safety course exam, you will be able to apply for an CPD-accredited certificate. 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? The Covid 19 Health Awareness and Food Safety training course is ideal for highly motivated individuals who want to enhance their professional skills and train for the job they want! This Covid 19 Health Awareness and Food Safety course also suits people aspiring for some in-depth knowledge on this topic and keep up to date with the latest information. Study the course today and increase your professional skillset from the comfort of your home! Requirements There are no formal entry requirements for the Covid 19 Health Awareness and Food Safety course, with enrollment open to anyone! Anyone and everyone with a knack for learning can enrol on this course without any hesitation. Learn online from any internet device, including your computer, tablet or smartphone. Study when it suits you and complete the Covid 19 Health Awareness and Food Safety course at your own pace. All students must have a passion for learning and literacy, as well as being over the age of 16. Career path Studying the Covid 19 Health Awareness and Food Safety course is designed to help you get the job of your dreams, or even that promotion you've always wanted! Learn the essential skills and knowledge you need to exceed in your professional life with the help & guidance from our course.