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Duration 3 Days 18 CPD hours Overview The goal of this course is to enable technical students new to Cassandra to begin working with Cassandra in an optimal manner. Throughout the course students will learn to: Understand the Big Data needs that C* addresses Be familiar with the operation and structure of C* Be able to install and set up a C* database Use the C* tools, including cqlsh, nodetool, and ccm (Cassandra Cluster Manager) Be familiar with the C* architecture, and how a C* cluster is structured Understand how data is distributed and replicated in a C* cluster Understand core C* data modeling concepts, and use them to create well-structured data models Be familiar with the C* eventual consistency model and use it intelligently Be familiar with consistency mechanisms such as read repair and hinted handoff Understand and use CQL to create tables and query for data Know and use the CQL data types (numerical, textual, uuid, etc.) Be familiar with the various kinds of primary keys available (simple, compound, and composite primary keys) Be familiar with the C* write and read paths Understand C* deletion and compaction The Cassandra (C*) database is a massively scalable NoSQL database that provides high availability and fault tolerance, as well as linear scalability when adding new nodes to a cluster. It has many powerful capabilities, such as tunable and eventual consistency, that allow it to meet the needs of modern applications, but also introduce a new paradigm for data modeling that many organizations do not have the expertise to use in the best way.Introduction to Cassandra is a hands-on course designed to teach attendees the basics of how to create good data models with Cassandra. This technical course has a focus on the practical aspects of working with C*, and introduces essential concepts needed to understand Cassandra, including enough coverage of internal architecture to make good decisions. It is hands-on, with labs that provide experience in core functionality. Students will also explore CQL (Cassandra Query Language), as well as some of the ?anti-patterns? that lead to non-optimal C* data models and be ready to work on production systems involving Cassandra. Session 1: Cassandra Overview Why We Need Cassandra - Big Data Challenges vs RDBMS High level Cassandra Overview Cassandra Features Optional: Basic Cassandra Installation and Configuration Session 2: Cassandra Architecture and CQL Overview Cassandra Architecture Overview Cassandra Clusters and Rings Nodes and Virtual Nodes Data Replication in Cassandra Introduction to CQL Defining Tables with a Single Primary Key Using cqlsh for Interactive Querying Selecting and Inserting/Upserting Data with CQL Data Replication and Distribution Basic Data Types (including uuid, timeuuid) Session 3: Data Modeling and CQL Core Concepts Defining a Compound Primary Key CQL for Compound Primary Keys Partition Keys and Data Distribution Clustering Columns Overview of Internal Data Organization Overview of Other Querying Capabilities ORDER BY, CLUSTERING ORDER BY, UPDATE , DELETE, ALLOW FILTERING Batch Queries Data Modeling Guidelines Denormalization Data Modeling Workflow Data Modeling Principles Primary Key Considerations Composite Partition Keys Defining with CQL Data Distribution with Composite Partition Key Overview of Internal Data Organization Session 4: Additional CQL Capabilities Indexing Primary/Partition Keys and Pagination with token() Secondary Indexes and Usage Guidelines Cassandra collections Collection Structure and Uses Defining and Querying Collections (set, list, and map) Materialized View Overview Usage Guidelines Session 5: Data Consistency In Cassandra Overview of Consistency in Cassandra CAP Theorem Eventual (Tunable) Consistency in C* - ONE, QUORUM, ALL Choosing CL ONE Choosing CL QUORUM Achieving Immediate Consistency Overview of Other Consistency Levels Supportive Consistency Mechanisms Writing / Hinted Handoff Read Repair Nodetool repair Session 6: Internal Mechanisms Ring Details Partitioners Gossip Protocol Snitches Write Path Overview / Commit Log Memtables and SSTables Write Failure Unavailable Nodes and Node Failure Requirements for Write Operations Read Path Overview Read Mechanism Replication and Caching Deletion/Compaction Overview Delete Mechanism Tombstones and Compaction Session 7: Working with IntelliJ Configuring JDBC Data Source for Cassandra Reading Schema Information Querying and Editing Tables. Additional course details: Nexus Humans Introduction to Cassandra (TTDS6776) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Introduction to Cassandra (TTDS6776) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 4 Days 24 CPD hours This course is intended for This class is intended for experienced developers who are responsible for managing big data transformations including: Extracting, loading, transforming, cleaning, and validating data. Designing pipelines and architectures for data processing. Creating and maintaining machine learning and statistical models. Querying datasets, visualizing query results and creating reports Overview Design and build data processing systems on Google Cloud Platform. Leverage unstructured data using Spark and ML APIs on Cloud Dataproc. Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow. Derive business insights from extremely large datasets using Google BigQuery. Train, evaluate and predict using machine learning models using TensorFlow and Cloud ML. Enable instant insights from streaming data Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hand-on labs to show you how to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning. This course covers structured, unstructured, and streaming data. Introduction to Data Engineering Explore the role of a data engineer. Analyze data engineering challenges. Intro to BigQuery. Data Lakes and Data Warehouses. Demo: Federated Queries with BigQuery. Transactional Databases vs Data Warehouses. Website Demo: Finding PII in your dataset with DLP API. Partner effectively with other data teams. Manage data access and governance. Build production-ready pipelines. Review GCP customer case study. Lab: Analyzing Data with BigQuery. Building a Data Lake Introduction to Data Lakes. Data Storage and ETL options on GCP. Building a Data Lake using Cloud Storage. Optional Demo: Optimizing cost with Google Cloud Storage classes and Cloud Functions. Securing Cloud Storage. Storing All Sorts of Data Types. Video Demo: Running federated queries on Parquet and ORC files in BigQuery. Cloud SQL as a relational Data Lake. Lab: Loading Taxi Data into Cloud SQL. Building a Data Warehouse The modern data warehouse. Intro to BigQuery. Demo: Query TB+ of data in seconds. Getting Started. Loading Data. Video Demo: Querying Cloud SQL from BigQuery. Lab: Loading Data into BigQuery. Exploring Schemas. Demo: Exploring BigQuery Public Datasets with SQL using INFORMATION_SCHEMA. Schema Design. Nested and Repeated Fields. Demo: Nested and repeated fields in BigQuery. Lab: Working with JSON and Array data in BigQuery. Optimizing with Partitioning and Clustering. Demo: Partitioned and Clustered Tables in BigQuery. Preview: Transforming Batch and Streaming Data. Introduction to Building Batch Data Pipelines EL, ELT, ETL. Quality considerations. How to carry out operations in BigQuery. Demo: ELT to improve data quality in BigQuery. Shortcomings. ETL to solve data quality issues. Executing Spark on Cloud Dataproc The Hadoop ecosystem. Running Hadoop on Cloud Dataproc. GCS instead of HDFS. Optimizing Dataproc. Lab: Running Apache Spark jobs on Cloud Dataproc. Serverless Data Processing with Cloud Dataflow Cloud Dataflow. Why customers value Dataflow. Dataflow Pipelines. Lab: A Simple Dataflow Pipeline (Python/Java). Lab: MapReduce in Dataflow (Python/Java). Lab: Side Inputs (Python/Java). Dataflow Templates. Dataflow SQL. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer Building Batch Data Pipelines visually with Cloud Data Fusion. Components. UI Overview. Building a Pipeline. Exploring Data using Wrangler. Lab: Building and executing a pipeline graph in Cloud Data Fusion. Orchestrating work between GCP services with Cloud Composer. Apache Airflow Environment. DAGs and Operators. Workflow Scheduling. Optional Long Demo: Event-triggered Loading of data with Cloud Composer, Cloud Functions, Cloud Storage, and BigQuery. Monitoring and Logging. Lab: An Introduction to Cloud Composer. Introduction to Processing Streaming Data Processing Streaming Data. Serverless Messaging with Cloud Pub/Sub Cloud Pub/Sub. Lab: Publish Streaming Data into Pub/Sub. Cloud Dataflow Streaming Features Cloud Dataflow Streaming Features. Lab: Streaming Data Pipelines. High-Throughput BigQuery and Bigtable Streaming Features BigQuery Streaming Features. Lab: Streaming Analytics and Dashboards. Cloud Bigtable. Lab: Streaming Data Pipelines into Bigtable. Advanced BigQuery Functionality and Performance Analytic Window Functions. Using With Clauses. GIS Functions. Demo: Mapping Fastest Growing Zip Codes with BigQuery GeoViz. Performance Considerations. Lab: Optimizing your BigQuery Queries for Performance. Optional Lab: Creating Date-Partitioned Tables in BigQuery. Introduction to Analytics and AI What is AI?. From Ad-hoc Data Analysis to Data Driven Decisions. Options for ML models on GCP. Prebuilt ML model APIs for Unstructured Data Unstructured Data is Hard. ML APIs for Enriching Data. Lab: Using the Natural Language API to Classify Unstructured Text. Big Data Analytics with Cloud AI Platform Notebooks What's a Notebook. BigQuery Magic and Ties to Pandas. Lab: BigQuery in Jupyter Labs on AI Platform. Production ML Pipelines with Kubeflow Ways to do ML on GCP. Kubeflow. AI Hub. Lab: Running AI models on Kubeflow. Custom Model building with SQL in BigQuery ML BigQuery ML for Quick Model Building. Demo: Train a model with BigQuery ML to predict NYC taxi fares. Supported Models. Lab Option 1: Predict Bike Trip Duration with a Regression Model in BQML. Lab Option 2: Movie Recommendations in BigQuery ML. Custom Model building with Cloud AutoML Why Auto ML? Auto ML Vision. Auto ML NLP. Auto ML Tables.

Take your Python programming knowledge several notches higher with this advanced training course designed for learners who already speak Python fluently—but want to speak it better. This course delves into deeper aspects of the language, brushing aside the basics and stepping into the more elegant, expressive, and efficient use of Python. From working confidently with decorators, generators, and closures, to understanding asynchronous programming and advanced data structures—this course is tailored for those who want their code to do more, with less. Python may be known for its simplicity, but once you scratch beneath the surface, there’s an entire world of finesse waiting to be explored. Whether you’re brushing up for senior-level roles, fine-tuning your automation skills, or aiming to make your code leaner and smarter—this course offers a structured approach to tackling the tricky bits of Python with a touch of confidence and a dash of clarity. Let’s just say, if Python had an upper crust, you’re about to join it. Learning Outcomes: Gain a deeper understanding of advanced-level Python concepts. Learn how to work with files and handle advanced file operations. Discover how to create and use Python classes to write efficient and maintainable code. Understand how to use library functions to streamline your workflow and take your Python development skills to the next level. Learn how to use Python to build real-world projects and applications. The Python Advanced Training course is designed to provide you with the skills and knowledge you need to become a proficient Python developer. Whether you're a beginner or an experienced programmer looking to enhance your Python skills, this course is perfect for you. Starting with the basics of file handling and moving on to more advanced topics, such as classes and library functions, this course covers everything you need to know to become a master Python developer. You'll learn how to handle advanced file operations, create and use Python classes to write efficient and maintainable code and use library functions to streamline your workflow and take your Python development skills to the next level. Python Advanced Training Course Curriculum Section 01: Introduction Section 02: File Handling Section 03: Python Classes Section 04: Library Functions 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? Python developers who want to expand their knowledge of advanced Python concepts. Programmers who want to enhance their Python skills and build real-world projects. Entrepreneurs who want to develop their own Python-based applications. Students who want to enhance their Python skills and prepare for a career in programming. Anyone who wants to take their Python programming skills to the next level. Career path Python Developer: £28,000 - £55,000 Data Analyst: £24,000 - £45,000 Software Engineer: £28,000 - £60,000 Technical Lead: £40,000 - £90,000 Chief Technology Officer: £90,000 - £250,000 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.

Welcome to the wonderfully witty world of ChatGPT, where your curiosity meets cutting-edge technology without needing a computer science degree or a coffee the size of your head. This crash course is your friendly, no-fluff guide to understanding what ChatGPT is, how it works, and most importantly—how you can use it without asking it “Are you conscious?” every five minutes. Whether you're a student, a professional, or someone who thinks AI only lives in sci-fi films, you'll walk away knowing how to get useful answers, craft better prompts, and avoid the common mistakes people make when chatting with this digital wordsmith. Think of this as the sat-nav for navigating the ChatGPT landscape—clear directions, a few warnings about the potholes, and no annoying robot voice. You’ll learn the what, why and how of AI-powered chat, from drafting content and brainstorming ideas to handling repetitive tasks like a pro. With jargon-free language and an engaging tone, this course is designed to bring you up to speed in less time than it takes to brew a proper cup of tea. So, pull up a chair and prepare to get acquainted with the future of communication—without the fuss. Learning Outcomes: Understand the capabilities of ChatGPT and its potential applications Learn how to sign up for an OpenAI account and set up ChatGPT Identify the benefits and limitations of using ChatGPT for business, teaching, and research Develop skills in using ChatGPT to improve customer engagement, personalised learning, and information retrieval Explore additional resources and videos to enhance your ChatGPT experience The Beginner Crash Course on ChatGPT is designed to provide learners with a comprehensive understanding of this cutting-edge technology and its potential applications. Through six modules, learners will gain an understanding of the capabilities of ChatGPT, how to sign up for an OpenAI account, and how to set up ChatGPT for business, teaching, and research purposes. Upon completing this course, learners will have the knowledge and skills to use ChatGPT to improve customer engagement, personalised learning, and information retrieval. With expert guidance and a comprehensive curriculum, this course is the key to unlocking the potential of ChatGPT and taking your interactions with technology to the next level. A Beginner Crash Course on ChatGPT Course Curriculum Sign up for an OpenAI Account What can ChatGPT do for you? ChatGPT for Business ChatGPT for Teaching ChatGPT for Research Limitations of ChatGPT 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? Business owners seeking to improve customer engagement Teachers looking to provide personalised support to their students Researchers seeking answers to complex questions Anyone interested in learning about AI-powered chatbots Individuals seeking to enhance their technology skills Career path Customer service representative Online tutor or trainer Research analyst Content writer Data analyst £20,000 - £60,000+ (depending on career path and experience) 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 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.

If you've dabbled in JavaScript but never quite built something start-to-finish, this course is your next logical step. Learn to craft an engaging online quiz using vanilla JavaScript – no libraries, no shortcuts – just you and the language itself. The project gives you the clarity and direction many tutorials skip, making it easier to actually do something with the skills you've picked up. It’s less theory, more doing, but entirely online. From setting up your questions and tracking scores to adding user interaction and smooth transitions – every bit is covered. You’ll gain the confidence to build browser-based applications with structure and purpose, while sharpening your coding logic and syntax. If JavaScript has ever felt like an unsolved puzzle, this course helps you piece it together – with no fluff, no filler, and no nonsense. Learning Outcomes: Learn how to create a quiz project using JavaScript and HTML/CSS. Gain hands-on experience with JavaScript and web development. Understand the basics of creating radio buttons, a page screen, and a question section for a quiz project. Learn how to customise your quiz project with your own questions and answers. Gain the skills and confidence to create your own web-based quiz projects. The Hands on JavaScript Project - Developing Quiz Project course is designed to provide you with hands-on experience in creating a quiz project using JavaScript and HTML/CSS. From getting started and creating radio buttons to developing a page screen and question section, this course covers everything you need to know to build your own engaging quiz project. With our step-by-step approach and hands-on exercises, you'll gain the skills and confidence to create your own web-based quiz projects that will impress your audience. Hands on JavaScript Project - Developing Quiz Project Course Curriculum Section 01: Introduction Section 02: Getting Started Section 03: Radio Buttons Section 04: Page Screen Section 05: Question Section 06: Conclusion 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? Web developers who want to gain hands-on experience with JavaScript and web development. Educators who want to engage their audience with interactive quizzes. Students who want to learn how to create quiz projects and gain experience with web development. Entrepreneurs who want to create their own quiz projects for their business. Anyone who wants to explore the world of web development and expand their knowledge of JavaScript. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Front End Developer: £24,000 - £55,000 Full Stack Developer: £30,000 - £75,000 Web Application Developer: £28,000 - £65,000 Senior Web Developer: £40,000 - £90,000 Technical Lead: £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.

Step into the fascinating world of deep learning with our Deep Learning Projects - Handwritten Digit Recognition Using Neural Network course. This course takes you through the power of neural networks by using one of the most iconic machine learning challenges—digit recognition. Whether you're brushing up on your AI knowledge or taking your first step into neural networks, this course simplifies the complexity without watering it down. Expect clear, jargon-free explanations that give neural networks a human touch. Learn how digits are recognised, how machines learn from data, and what goes on inside those layers of artificial intelligence—without sounding like a maths textbook. From data input to prediction output, the entire pipeline is broken down in a logical, structured, and thoroughly digestible way. If you're into machine learning, this project will speak your language—digitally. Learning Outcomes: Gain a solid understanding of the principles of deep learning and neural networks. Learn how to use Google Collab to import and preprocess data for deep learning projects. Discover how to create your own neural network model to recognise handwritten digits. Understand how to train your model, make predictions, and evaluate its performance. Learn how to create your own convolutional neural network model for even more advanced recognition tasks. The Deep Learning Projects - Handwritten Digit Recognition Using Neural Network course is designed to provide you with the skills and knowledge you need to build your own neural network for handwritten digit recognition. Using Google Collab, you'll learn how to import and preprocess data for deep learning projects, create your own neural network model, and train it to recognize handwritten digits with high accuracy. You'll also discover how to evaluate the performance of your model and create a convolutional neural network model for even more advanced recognition tasks. Deep Learning Projects - Handwritten Digit Recognition Using Neural Network Course Curriculum Lesson 01: Introduction to Project Lesson 02: Google Collab Lesson 03: Importing Packages and Data Lesson 04: Preprocessing and Model Creation Lesson 05: Training the Model and Prediction Lesson 06: Model Creation using CNN Lesson 07: CNN Model Prediction 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 who want to expand their skills in deep learning and neural networks. Programmers who want to learn how to build their own neural network models for advanced recognition tasks. Entrepreneurs who want to develop their own deep learning-based applications. Students who want to enhance their skills in deep learning and prepare for a career in the field. Anyone who wants to explore the world of deep learning and neural networks. Career path Data Analyst: £24,000 - £45,000 Machine Learning Engineer: £28,000 - £65,000 Software Engineer: £28,000 - £60,000 Technical Lead: £40,000 - £90,000 Chief Technology Officer: £90,000 - £250,000 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.

In today's fast-paced recruitment landscape, understanding IT terminology and digital tools is no longer optional—it's essential. The IT Training for Recruiters Course is designed to bridge the gap between recruitment expertise and technology awareness, ensuring recruiters speak the same language as hiring managers and candidates in the tech sector. This course unpacks key IT concepts, from software development cycles to common tech jargon, making your conversations sharper and more confident. Whether you're sourcing candidates for startups or established IT firms, this training equips you with the knowledge to navigate technical job descriptions and requirements with ease. This course suits recruiters eager to sharpen their IT literacy and improve their candidate selection process through better understanding of technical roles. With a focus on clarity and relevance, it ensures recruiters can confidently assess CVs, conduct informed interviews, and communicate effectively with stakeholders. Delivered entirely online, the content is structured to fit around busy schedules, allowing learning at your own pace without compromising on depth or quality. Prepare to upgrade your recruitment approach with an IT training course that speaks directly to the challenges of hiring in technology today. 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: Introduction Introduction IT Fundamentals What is hardware and software Server Project Life cycle Software Development Life Cycle IT Terms Basics Methodologies CMS API CI/CD Stacks Native and Hybrid Native Apps IT Positions CTO IT Architect Product Owner Project Manager Product Manager PO vs PM vs Product Manager PO vs Product Manager Business Analyst Business Intelligence Specialist Data Engineer Data Scientist Data Engineer vs Data Scientist Agile Coach Scrum Master Agile Coach vs Scrum Master Frontend Developer Backend Developer Fullstack Developer Frontend vs Backend vs Fullstack Developer iOS Developer Android Developer UX Designer UI Designer UX vs UI Designer QA Engineer_Tester SysAdmin DevOps SEO IT Technologies. Programming Languages and Frameworks Programming languages and frameworks. Intro Programming languages and frameworks Java JavaScript Python C C++ C# HTML PHP SWIFT Objective-C Ruby SQL Go (Golang) Databases Database Types of Databases From Recruiter to Recruiter The day of an IT Recruiter Key principles Sourcing Tipps Good Bye Video Good Bye Video Exam and Assessment MCQ based test 60% Marks to pass Instant Assessment and Feedback Certification CPD Certified PDF and Hardcopy Certificate Level 5 QLS Endorsed Hardcopy Certificate for Diploma in IT For Recruiters at QLS Level 5 CPD 150 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This IT For Recruiters 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 IT For Recruiters course is open to all, with no formal entry requirements. Career path Upon successful completion of the IT For Recruiters Course, learners will be equipped with many indispensable skills and have the opportunity to grab. Certificates Certificate of completion Digital certificate - £9 Certificate of completion Hard copy certificate - £109 QLS Endorsed Certificate Hardcopy of this certificate of achievement endorsed by the Quality Licence Scheme can be ordered and received straight to your home by post, by paying - Within the UK: £109 International: £109 + £10 (postal charge) = £119 CPD Certification Service Accredited Certification Hardcopy Certificate (within the UK): £15 Hardcopy Certificate (international): £15 + £10 (postal charge) = £25

If your dog's behaviour is causing more drama than a soap opera, or their health seems off despite all your best efforts, this course might just be the missing treat. Designed with care for both new and seasoned dog owners, this training takes a refreshing look at canine behaviour and health—focusing on natural remedies and balanced training techniques that speak your dog’s language. No gimmicks, no quick fixes—just thoughtful guidance based on proven principles that help bring harmony to the home (and fewer chewed-up slippers). From understanding behavioural triggers to easing anxiety with gentle, natural approaches, this course brings together the essentials for nurturing a well-mannered, healthy companion. Whether you're dealing with barking fits, tummy upsets, or leash pulling that could qualify as cardio, you'll learn to respond with calm confidence. It's an online journey—no leashes required—tailored for those who want their dog to be not just obedient, but genuinely content. Learning outcomes: Understand the benefits of natural remedies for dogs Identify the top 10 herbs for dogs and their uses Understand the principles of homoeopathic remedies for dogs Know how to use aromatherapy remedies for dogs Learn about Bach flowers for dogs and their uses This course is designed for dog owners who are interested in natural remedies for their pets' health and training. The curriculum includes an introduction to the power of herbs, top 10 herbs for dogs and their uses, homoeopathic remedies, aromatherapy remedies, Bach flowers, and natural first aid kits for dogs. The course also covers how to find a local homoeopathic/holistic vet near you. In the first module, you'll be introduced to the course instructor and her dogs, and learn about the course content. The second module covers the power of herbs and the top 10 herbs for dogs, including their benefits and uses. The third module covers homoeopathic remedies for dogs, including how to choose a remedy and how to administer it. The fourth module covers aromatherapy remedies, including essential oils that are safe for dogs and how to use them. The fifth module covers Bach flowers for dogs, including their uses and how to choose the right one for your dog. The sixth module covers additional goodies for dogs, including supplements and natural flea and tick prevention. The seventh module covers natural first aid kits for dogs, including what to include and how to use the remedies. The final module covers how to find a local homoeopathic/holistic vet near you. 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? 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 Pet owner/enthusiast Dog trainer Pet store employee Holistic veterinarian assistant 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.

Sustainable building isn't about hugging trees or painting everything green — it’s about structured thinking, smart planning, and knowing exactly what counts. This course offers a clear introduction to LEED v4.1 for Building Design and Construction, walking you through the credits, categories, and strategies that shape better buildings from the ground up. Whether you're looking to understand the rating system or make sense of what qualifies for what, this course keeps the explanations solid and the fluff to a minimum. Presented entirely online, the content is designed to guide learners through LEED v4.1 without making it feel like they’ve signed up for a second job. You’ll explore energy use, material choices, water efficiency, and more — all tailored to help you grasp the essentials in plain language. Ideal for those involved in design, construction, or simply curious about how green building decisions are made, this course helps you get to grips with the framework behind the certification — minus the buzzwords and the building-site metaphors. Why People Love And Enrol The LEED V4.1 - Building Design and Construction 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 LEED V4.1 - Building Design and Construction online training course is designed by industry experts and will give you an in-depth understanding of this topic. The LEED V4.1 - Building Design and Construction course feature 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 LEED V4.1 - Building Design and Construction is the perfect place to kickstart your dream career. On the LEED V4.1 - Building Design and Construction 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 LEED V4.1 - Building Design and Construction today and take control of your career! 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? This course is designed for professionals in the building and construction industry, including architects, engineers, builders, contractors, and facility managers. It is also suitable for anyone interested in learning about sustainable building design and construction. Construction labourer Construction plant hire adviser Construction contracts manager Road worker Requirements There are no formal entry requirements for the LEED V4.1 - Building Design and Construction 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 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 Construction Manager (£27,000 to £65,000) Architect (£30,000 to £60,000) Engineering Construction Technician (£19,000 to £36,000) Construction Plant Operator (£19,000 to £36,000) Construction Site Supervisor (£25,000 to £45,000)