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The BCS Essentials Certificate in Artificial Intelligence teaches the general principles of Artificial Intelligence, an introduction to Machine Learning and understand it's potential implications and capabilities. You will learn about human and artificial intelligence, the machine learning process, the different types of agents, the types of machine learning, the benefits, challenges and risks of a machine learning project, ethics in AI and the future of humans and machines in work. This is a great course for any person or organisation who needs to gain familiarity about Artificial Intelligence and Machine Learning before they commence a project; helping ensure the project approach is correct and avoid the common and costly pitfalls of technology projects.

Master Data Science and Machine Learning with Python to transform data-driven decisions in businesses.

This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, follow a methodical workflow to develop sound solutions, use open-source, off-the-shelf tools to develop, test, and deploy those solutions, and ensure that they protect the privacy of users. This course includes hands-on activities for each topic area.

Level 3 & 5 Endorsed Diploma | QLS Hard Copy Certificate Included | Plus 5 CPD Courses | Lifetime Access

Let's learn the basic concepts for developing chatbots with machine learning models. This compact course will help you learn to use the power of Python to evaluate your chatbot datasets based on conversational notes, online resources, and websites. Garner hands-on practice in text generation with Python for chatbot development.

3 QLS Endorsed Diploma | QLS Hard Copy Certificate Included | Plus 10 CPD Courses | Lifetime Access

Description Register on the Machine Learning Model Using AWS SageMaker Canvas today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a certificate as proof of your course completion. The Machine Learning Model Using AWS SageMaker Canvas course is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablets, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With This Course Receive a digital certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment You need to attend an assessment right after the completion of this course to evaluate your progression. For passing the assessment, you need to score at least 60%. After submitting your assessment, you will get feedback from our experts immediately. Who Is This Course For The course is ideal for those who already work in this sector or are aspiring professionals. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge.   Course Content Introduction To Machine Learning What is Machine Learning? 00:04:00 Introduction To AWS What is Amazon Web Services (AWS)? 00:01:00 Signing into AWS Console 00:02:00 Introduction To SageMaker What is SageMaker, and how it is used for Machine Learning? 00:03:00 What is SageMaker Canvas? 00:03:00 Setup SageMaker Domain and User Setup 00:04:00 Setup Data in S3 Buckets for use in SageMaker 00:03:00 SageMaker Canvas Interface Walkthrough Navigating in SageMaker Canvas 00:02:00 Project 01: Banknote Authentication Adding Training Data 00:03:00 Building and Using Model for Prediction 00:03:00 Predict Single & Batch Dataset 00:07:00 Validating Accuracy of Batch Predictions 00:02:00 Project 02: Spam SMS Detection Adding Train & Test Data 00:01:00 Building and Using Model for Prediction 00:03:00 Predicting Data and Validating Accuracy 00:02:00 Project 03: Customer Churn Prediction Adding Data 00:02:00 Building Model 00:03:00 Performing & Validating Predictions 00:04:00 Project 04: Wine Quality Prediction Adding & Joining Datasets 00:04:00 Building Model 00:03:00 Predicting Test Data 00:02:00 Assignment White Wine Quality Prediction 00:02:00 Other Important Features In SageMaker Canvas Versioning 00:04:00 Congratulations & Next Steps Getting Datasets for Practice 00:04:00 Getting Help on SageMaker Canvas 00:04:00 Congratulations & Thankyou 00:01:00 Order your Certificates & Transcripts Order your Certificates & Transcripts 00:00:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.

Duration 1 Days 6 CPD hours This course is intended for This course is designed for data scientists with experience of Python who need to learn how to apply their data science and machine learning skills on Azure Databricks. Overview After completing this course, you will be able to: Provision an Azure Databricks workspace and cluster Use Azure Databricks to train a machine learning model Use MLflow to track experiments and manage machine learning models Integrate Azure Databricks with Azure Machine Learning Azure Databricks is a cloud-scale platform for data analytics and machine learning. In this course, students will learn how to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning. Introduction to Azure Databricks Getting Started with Azure Databricks Working with Data in Azure Databricks Training and Evaluating Machine Learning Models Preparing Data for Machine Learning Training a Machine Learning Model Managing Experiments and Models Using MLflow to Track Experiments Managing Models Managing Experiments and Models Using MLflow to Track Experiments Managing Models Integrating Azure Databricks and Azure Machine Learning Tracking Experiments with Azure Machine Learning Deploying Models

This Python Machine Learning online instructor led course is an excellent introduction to popular machine learning algorithms. Python Machine Learning 2-day Course Prerequisites: Basic knowledge of Python coding is a pre-requisite. Who Should Attend? This course is an overview of machine learning and machine learning algorithms in Python SciKitLearn. Practical: We cover the below listed algorithms, which is only a small collection of what is available. However, it will give you a good understanding, to plan your Machine Learning project We create, experiment and run machine learning sample code to implement a short selected but representative list of available the algorithms. Course Outline: Supervised Machine Learning: Classification Algorithms: Naive Bayes, Decision Tree, Logistic Regression, K-Nearest Neighbors, Support Vector Machine Regression Algorithms: Linear, Polynomial Unsupervised Machine Learning: Clustering Algorithms: K-means clustering, Hierarchical Clustering Dimension Reduction Algorithms: Principal Component Analysis Latent Dirichlet allocation (LDA) Association Machine Learning Algorithms: Apriori, Euclat Other machine learning Algorithms: Ensemble Methods ( Stacking, bagging, boosting ) Algorithms: Random Forest, Gradient Boosting Reinforcement learning Algorithms: Q-Learning Neural Networks and Deep Leaning Algorithms: Convolutional Network (CNN) Data Exploration and Preprocessing: The first part of a Machine Learning project understands the data and the problem at hand. Data cleaning, data transformation and data pre-processing are covered using Python functions to make data exploration and preprocessing relatively easy. What is included in this Python Machine Learning: Python Machine Learning Certificate on completion Python Machine Learning notes Practical Python Machine Learning exercises and code examples After the course, 1 free, online session for questions or revision Python Machine Learning. Max group size on this Python Machine Learning is 4. Refund Policy No Refunds

Transform your future with our stellar "Diploma in Python, Java, and Machine Learning" bundle, designed to ignite your passion for programming and data science. Dive deep into the complex world of Python and Java, two of the most versatile and widely-used programming languages of the 21st century, guided by our three QLS-endorsed courses. With this exclusive bundle, you will also receive a tangible recognition of your learning journey - hardcopy certificates that attest to your dedication and newfound skills. Continue your thrilling journey of discovery with five additional courses, all CPD QS accredited, that expose you to the riveting realms of Azure Machine Learning, AWS SageMaker Canvas, and more. Grasp the nuances of Statistics and Probability specifically for Data Science, and master the A-Z of Data Science and Machine Learning with R, a powerful tool for statistical analysis and graphics. Never has such a comprehensive package been offered. This course bundle not only imparts knowledge of leading programming languages but also goes beyond to equip you with a solid understanding of machine learning concepts and the exciting world of data science. Whether you're looking to enhance your resume, break into a new field, or simply quench your thirst for knowledge, our eight-course bundle is the key to unlocking a world of potential. Get ready to redefine your learning experience and embark on an unforgettable journey of intellectual growth. Prepare to amaze yourself with what you can achieve! Key Features of the Diploma in Python, Java and Machine Learning Bundle: 3 QLS-Endorsed Courses: We proudly offer 3 QLS-endorsed courses within our Diploma in Python, Java and Machine Learning bundle, providing you with industry-recognized qualifications. Plus, you'll receive a free hardcopy certificate for each of these courses. QLS Course 01: Diploma in Python Programming QLS Course 02: Introduction to Java QLS Course 03: Machine Learning with Python 5 CPD QS Accredited Courses: Additionally, our bundle includes 5 relevant CPD QS accredited courses, ensuring that you stay up-to-date with the latest industry standards and practices. Course 01: Azure Machine Learning Course 02: Complete Python Machine Learning & Data Science Fundamentals Course 03: Machine Learning Model Using AWS SageMaker Canvas Course 04: Statistics & Probability for Data Science & Machine Learning Course 05: 2021 Data Science & Machine Learning with R from A-Z In Addition, you'll get Five Career Boosting Courses absolutely FREE with this Bundle. Course 01: Professional CV Writing Course 02: Job Search Skills Course 03: Self-Esteem & Confidence Building Course 04: Professional Diploma in Stress Management Course 05: Complete Communication Skills Master Class Convenient Online Learning: Our Diploma in Python, Java and Machine Learning courses are accessible online, allowing you to learn at your own pace and from the comfort of your own home. Learning Outcomes: Gain an in-depth understanding of Python and Java, two powerful programming languages that underpin modern computing. Develop comprehensive knowledge of machine learning concepts, principles, and techniques using both Python and AWS SageMaker Canvas. Understand how to implement and utilise Azure Machine Learning. Grasp the fundamentals of Data Science, including crucial statistical methods and probability theory. Learn the complete range of applications of R in Data Science and Machine Learning. Build a strong theoretical foundation that enables critical thinking and problem-solving in real-world scenarios. Achieve hardcopy certificates of QLS-endorsed courses as proof of your dedication and hard-earned skills. Elevate your intellectual capabilities with our "Diploma in Python, Java, and Machine Learning" bundle. This bundle, featuring three QLS-endorsed and five CPD QS-accredited courses, is meticulously designed to bring you the best of programming languages, data science, and machine learning. It offers a deep dive into Python and Java, extends into the promising terrain of machine learning, and wraps up with a nuanced understanding of data science and related statistical methods. Unlock new doors of possibilities with this comprehensive and profound learning journey. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals interested in learning programming languages such as Python and Java. Enthusiasts wanting to gain a theoretical understanding of machine learning and data science. Professionals seeking to broaden their knowledge base and enhance their resumes. Anyone with a passion for lifelong learning and a thirst for knowledge in tech-related fields. Career path Python Developer: £30,000 - £70,000 per year. (Average Salary range in the UK) Java Developer: £70,000 per year. Machine Learning Engineer: £40,000 - £80,000 per year. Data Scientist: £35,000 - £80,000 per year. Azure/AWS Machine Learning Specialist: £40,000 - £90,000 per year. Statistician: £30,000 - £60,000 per year. Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included