14344 Environment courses

Duration 4 Days 24 CPD hours This course is intended for This course is intended for: Developers Solutions Architects Data Engineers Anyone with little to no experience with ML and wants to learn about the ML pipeline using Amazon SageMaker Overview In this course, you will learn to: Select and justify the appropriate ML approach for a given business problem Use the ML pipeline to solve a specific business problem Train, evaluate, deploy, and tune an ML model using Amazon SageMaker Describe some of the best practices for designing scalable, cost-optimized, and secure ML pipelines in AWS Apply machine learning to a real-life business problem after the course is complete This course explores how to use the machine learning (ML) pipeline to solve a real business problem in a project-based learning environment. Students will learn about each phase of the pipeline from instructor presentations and demonstrations and then apply that knowledge to complete a project solving one of three business problems: fraud detection, recommendation engines, or flight delays. By the end of the course, students will have successfully built, trained, evaluated, tuned, and deployed an ML model using Amazon SageMaker that solves their selected business problem. Module 0: Introduction Pre-assessment Module 1: Introduction to Machine Learning and the ML Pipeline Overview of machine learning, including use cases, types of machine learning, and key concepts Overview of the ML pipeline Introduction to course projects and approach Module 2: Introduction to Amazon SageMaker Introduction to Amazon SageMaker Demo: Amazon SageMaker and Jupyter notebooks Hands-on: Amazon SageMaker and Jupyter notebooks Module 3: Problem Formulation Overview of problem formulation and deciding if ML is the right solution Converting a business problem into an ML problem Demo: Amazon SageMaker Ground Truth Hands-on: Amazon SageMaker Ground Truth Practice problem formulation Formulate problems for projects Module 4: Preprocessing Overview of data collection and integration, and techniques for data preprocessing and visualization Practice preprocessing Preprocess project data Class discussion about projects Module 5: Model Training Choosing the right algorithm Formatting and splitting your data for training Loss functions and gradient descent for improving your model Demo: Create a training job in Amazon SageMaker Module 6: Model Evaluation How to evaluate classification models How to evaluate regression models Practice model training and evaluation Train and evaluate project models Initial project presentations Module 7: Feature Engineering and Model Tuning Feature extraction, selection, creation, and transformation Hyperparameter tuning Demo: SageMaker hyperparameter optimization Practice feature engineering and model tuning Apply feature engineering and model tuning to projects Final project presentations Module 8: Deployment How to deploy, inference, and monitor your model on Amazon SageMaker Deploying ML at the edge Demo: Creating an Amazon SageMaker endpoint Post-assessment Course wrap-up Additional course details: Nexus Humans The Machine Learning Pipeline on AWS 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 The Machine Learning Pipeline on AWS 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 1 Days 6 CPD hours This course is intended for This course is designed for students looking to establish a foundational understanding of Access, including the skills necessary to create a new database, construct data tables, design forms and reports, and create queries. Overview In this course, you will create and manage an Access database. You will: Navigate within the Access application environment, create a simple database, and customize Access configuration options. Organize and manage data stored within Access tables. Use queries to join, sort, and filter data from different tables. Use forms to make it easier to view, access, and input data. Create and format custom reports. Data is everywhere. Most job roles today involve some form of data management. Virtually everyone is affected in some way by the need to manage data. A relational database application such as Microsoft© Access© can help you and your organization with this task. This course is the first part of a three-course series that covers the skills needed to perform database design and development in Access. Microsoft© Access© for Office 365?: Part 1 (this course): Focuses on the design and construction of an Access database?viewing, navigating, searching, and entering data in a database, as well as basic relational database design and creating simple tables, queries, forms, and reports. Microsoft© Access© for Office 365?: Part 2 : Focuses on optimization of an Access database, including optimizing performance and normalizing data, data validation, usability, and advanced queries, forms, and reports. Microsoft© Access© for Office 365?: Part 3 : Focuses on managing the database and supporting complex database designs, including import and export of data, using action queries to manage data, creating complex forms and reports, macros and VBA, and tools and strategies to manage, distribute, and secure a database. This course may be a useful component in your preparation for the Microsoft Access Expert (Microsoft 365 Apps and Office 2019): Exam MO-500 certification exam. Lesson 1: Working with an Access Database Topic A: Launch Access and Open a Database Topic B: Use Tables to Store Data Topic C: Use Queries to Combine, Find, Filter, and Sort Data Topic D: Use Forms to View, Add, and Update Data Topic E: Use Reports to Present Data Topic F: Get Help and Configure Options in Access Lesson 2: Creating Tables Topic A: Plan an Access Database Topic B: Start a New Access Database Topic C: Create a New Table Topic D: Establish Table Relationships Lesson 3: Creating Queries Topic A: Create Basic Queries Topic B: Add Calculated Columns in a Query Topic C: Sort and Filter Data in a Query Lesson 4: Creating Forms Topic A: Start a New Form Topic B: Enhance a Form Lesson 5: Creating Reports Topic A: Start a New Report Topic B: Enhance Report Layout Additional course details: Nexus Humans Microsoft Access for Office 365: Part 1 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 Microsoft Access for Office 365: Part 1 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 The workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful. Overview Overview of data science and machine learning at scale Overview of the Hadoop ecosystem Working with HDFS data and Hive tables using Hue Introduction to Cloudera Data Science Workbench Overview of Apache Spark 2 Reading and writing data Inspecting data quality Cleansing and transforming data Summarizing and grouping data Combining, splitting, and reshaping data Exploring data Configuring, monitoring, and troubleshooting Spark applications Overview of machine learning in Spark MLlib Extracting, transforming, and selecting features Building and evaluating regression models Building and evaluating classification models Building and evaluating clustering models Cross-validating models and tuning hyperparameters Building machine learning pipelines Deploying machine learning models Spark, Spark SQL, and Spark MLlib PySpark and sparklyr Cloudera Data Science Workbench (CDSW) Hue This workshop covers data science and machine learning workflows at scale using Apache Spark 2 and other key components of the Hadoop ecosystem. The workshop emphasizes the use of data science and machine learning methods to address real-world business challenges. Using scenarios and datasets from a fictional technology company, students discover insights to support critical business decisions and develop data products to transform the business. The material is presented through a sequence of brief lectures, interactive demonstrations, extensive hands-on exercises, and discussions. The Apache Spark demonstrations and exercises are conducted in Python (with PySpark) and R (with sparklyr) using the Cloudera Data Science Workbench (CDSW) environment. The workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful. Overview of data science and machine learning at scaleOverview of the Hadoop ecosystemWorking with HDFS data and Hive tables using HueIntroduction to Cloudera Data Science WorkbenchOverview of Apache Spark 2Reading and writing dataInspecting data qualityCleansing and transforming dataSummarizing and grouping dataCombining, splitting, and reshaping dataExploring dataConfiguring, monitoring, and troubleshooting Spark applicationsOverview of machine learning in Spark MLlibExtracting, transforming, and selecting featuresBuilding and evauating regression modelsBuilding and evaluating classification modelsBuilding and evaluating clustering modelsCross-validating models and tuning hyperparametersBuilding machine learning pipelinesDeploying machine learning models Additional course details: Nexus Humans Cloudera Data Scientist Training 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 Cloudera Data Scientist Training 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 course is geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brand-new version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative adversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts. Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm ? YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions

Duration 2 Days 12 CPD hours This course is intended for This is an intermediate and beyond level SQL course geared for experienced end users, data scientists, business analysts, application developers and database administrators. Students should have recently attended a basic SQL class or have equivalent experience. Overview This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working in a hands-on learning environment led by our expert practitioner, attendees will learn advanced skills needed to: Advanced Query Techniques Manipulating Table Data Using SQL's Data Manipulation Language (DML) User-Defined Functions Stored Procedures Triggers A company?s success hinges on responsible, accurate database management. Organizations rely on highly available data to complete all sorts of tasks, from creating marketing reports and invoicing customers to setting financial goals. Data professionals like analysts, developers and architects are tasked with creating, optimizing, managing and analyzing data from databases ? with little room for error. When databases aren?t built or maintained correctly, it?s easy to mishandle or lose valuable data. Our SQL Programming and Database Training Series provides students with the skills they require to develop, analyze and maintain data and in correctly structured, modern and secure databases. Next Level SQL explores how to identify and use advanced querying techniques to manipulate and index tables. All hands-on work in this course is ANSI SQL compliant and should work with most SQL databases such as Oracle, SQL Server, MySQL, MS Access, Informix, Sybase, or any other ANSI SQL compliant database. Advanced Query Techniques Join inner outer (Left, Right, Full) Subqueries Simple Correlated Using the Exists Operator Tips for Developing Complex Queries Performing Set Operations Aggregating Results Using Group by Creating Temporary Tables Manipulating Table Data Using SQL's Data Manipulation Language (DML) Inserting Data into Tables Updating Existing Data Deleting Records Truncating Tables Implementing Data Integrity with Transactions Beginning Explicit Transactions Committing Transactions Rolling Back Transactions User-Defined Functions Definition and Benefits of Use CREATE FUNCTION Syntax RETURN Clause and the RETURNS Statement Scalar vs. Table Functions Comparison with Stored Procedures Returning Scalar Values and Tables ALTER and DROP FUNCTION Stored Procedures Definition and Benefits of Use CREATE PROCEDURE Syntax Variables and Parameters Control of Program Flow ALTER and DROP PROCEDURE Implementation Differences Triggers Definition and Benefits of Use Alternatives (e.g., Constraints) CREATE TRIGGER Syntax Trigger Types 'Inserted' (or 'NEW') and 'Deleted' (or 'OLD') Tables Event Handling and Trigger Execution ALTER and DROP TRIGGER Additional course details: Nexus Humans Advanced SQL Programming (TTSQL005) 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 Advanced SQL Programming (TTSQL005) 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 3 Days 18 CPD hours This course is intended for This intermediate course is for application programmers who need to write embedded SQL COBOL or PL/I programs in either a DB2 9 or DB2 10 for z/OS environment. Overview Incorporate static SQL statements in an application program Prepare the program for execution Validate execution results are correct Produce code to support multiple rows being returned from the database manager using cursors Identify considerations regarding units of work, concurrency, and restart of programs Identify differences between static and dynamic SQL Provide test data for applications Discuss program and DB2 options relative to performance of static SQL This course enables you to acquire the skills necessary to produce application programs that manipulate DB2 databases. Emphasis is on embedding Structured Query Language (SQL) statements and preparing programs for execution. CV720G;CF82G;DB2 Concepts Identify DB2 family products Explain DB2 workstation component functions Identify DB2 objects Identify the key differences between static SQL and other application alternatives for accessing DB2 data Program Structure I Embed INSERT, UPDATE, DELETE and single-row SELECT statements in application programs Effectively communicate with DB2 when processing NULL values and determining success of statement execution Demonstrate use of DB2 coding aids Code CONNECT statements within an application program Identify connection types and impacts on a unit of work Program for the Call Attach Facility (CAF) Program Preparation Identify the additional steps necessary to prepare a program that contains embedded SQL for execution Describe the functions of the DB2 PRECOMPILE and BIND processes Describe factors relevant to the BIND process, including RUNSTATS positioning, package status, parameters, and authorization requirements Program Structure II Use DECLARE, OPEN, FETCH, and CLOSE CURSOR statements to handle select criteria that may return multiple rows in application programs Issue positioned UPDATE and DELETE statements Identify how scrollable cursors can be used Recovery and Locking Concepts Define a unit of recovery Identify the basic locking strategies used by DB2 Dynamic SQL Introduction Describe the difference between static and dynamic SQL List the types of dynamic statements Code dynamic SQL in a program Managing Test Data Identify methods to insert data into a table Use the LOAD or IMPORT utility Identify the purpose of the RUNSTATS utility Identify the purpose of the REORG utility Performance Considerations Use programming techniques that enhance DB2 application performance by following general guidelines, using indexable predicates, and avoiding unnecessary sorts Identify the access paths available to DB2 List common causes of deadlocks and avoid such causes when possible Use the EXPLAIN tools as aids to develop applications that emphasize performance Additional course details: Nexus Humans CV722 IBM DB2 11 for z/OS Application Programming Workshop 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 CV722 IBM DB2 11 for z/OS Application Programming Workshop 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.

Give feedback that helps your team to grow

Do you struggle with assessing vocational skills and competence effectively? The Level 3 Certificate in Assessing Vocational Achievement (RQF) is your key to unlocking expertise in this field. Recognised and regulated by Ofqual, and awarded by Focus Awards, this course doesn't just educate; it transforms your educational profile. This qualification equips you with the skills and knowledge to excel in this pivotal role. It solves the problem of uncertainty in assessment by providing you with a comprehensive toolkit for making informed judgments. As a result, you'll ensure the success and industry relevance of your learners. Elevate your career and gain a competitive edge with a qualification that adds tangible value to your educational profile. Join us on this journey. Learning Outcomes Develop proficiency in assessing vocational skills and competence effectively. Understand diverse assessment methods and their appropriate application. Demonstrate legal and ethical compliance in assessment practices. Acquire skills for planning, conducting, and documenting assessments. Cultivate quality assurance techniques for enhancing assessment processes. Why Choose Focus Awards? Choosing Focus Awards for your educational and training programs provides several significant benefits. As an accrediting body overseen by Ofqual, their certifications are widely recognized internationally and globally, guaranteeing you are held to the highest educational standards. Focus Awards is a dynamic choice for a relevant and unique learning experience because of its commitment to professionalism, rapid expansion, and numerous qualification offerings. Choosing Focus Awards improves your professional chances, personal development, and educational accomplishments. Benefits you will gain Benefits you will enjoy include: Exceptional customer service. Recognised qualification. Compliance with standards. User-friendly online platform. 24/7 module access. High-quality virtual learning materials. Guided Learning Hours "Guided Learning Hours" includes all direct teaching and support given to a learner by educators, trainers, or supervisors. For this qualification, there are a total of 84 Guided Learning Hours provided. Total Qualification Time Total Qualification Time (TQT) combines guided learning hours (GLH) and the hours students are expected to spend on independent learning, study, and assessments, all under the guidance of educational staff but without direct supervision. Qualification credit values are based on TQT, where one credit equals 10 learning hours. This particular qualification has a Total Qualification Time of 150 hours. Method of Assessment Assessment tasks involve a series of concise assignments that you need to finish to demonstrate your understanding of the material and include references in your work. Unit 2 and Unit 3 require mandatory observation videos that should each last at least 30 minutes. Unit 1 involves a written assessment. You're required to submit all assignments through the online portal. To pass, you must fulfil all the learning objectives; there are no grades assigned. Progression After completing the Level 3 Certificate in Assessing Vocational Achievement (CAVA), learners often have several course progression options to further their education and career development: Level 4 Award in the Internal Quality Assurance of Assessment Processes and Practice (IQA): This qualification is suitable for those who wish to become internal quality assurers, ensuring that assessment processes and practices meet industry standards. Level 4 Certificate in Education and Training (CET): For those interested in becoming educators or trainers, this qualification focuses on the skills and knowledge required to teach in various learning environments. Level 4 Certificate in Leading the Internal Quality Assurance of Assessment Processes and Practice (IQA): This qualification is designed for individuals who want to take on leadership roles in quality assurance within assessment processes. Level 5 Diploma in Education and Training (DET): This advanced qualification is suitable for educators and trainers looking to enhance their teaching skills and knowledge Progression to higher education: Completing CAVA can also be a stepping stone for individuals interested in pursuing a higher education degree in education, training, or related fields. Specialised training courses: Depending on career goals, learners can choose from a variety of specialised training courses in areas such as leadership, management, or specific vocational subjects. Qualification Purpose The main goal of this certification is to confirm an individual's competence in a specific job role, in accordance with industry standards. This in-depth Level 3 Certificate in Assessing Vocational Achievement (RQF) course equips learners with the necessary knowledge and abilities to accurately assess occupational competence, whether in a workplace or other contexts. Who is this course for? Aspiring vocational assessors Educators and trainers HR professionals seeking assessment expertise Career changers entering the education sector Requirements This qualification has no specific entry requirements and is accredited for learners aged 19 years and above, including those with a minimum of a high school education and Level 3 AET (Award in Education and Training). Career path Vocational Assessor: £20,000 - £40,000 per year Educational Trainer: £25,000 - £50,000 per year HR Learning and Development Specialist: £30,000 - £60,000 per year Further Education Lecturer: £24,000 - £50,000 per year Quality Assurance Officer: £25,000 - £45,000 per year Training Coordinator: £22,000 - £40,000 per year Note: Registration, Assessment, Certification fee included with this price.

Overview of Level 3 Diploma in Health & Social Care If you are thinking about a career in Healthcare, you have the right mindset. In the UK, professionals in the health and social care sector enjoy the fulfilment of making a difference in people's lives but also benefit from competitive salaries. Our Level 3 Diploma in Health & Social Care provides a comprehensive understanding of the field and is designed to enhance your career prospects. Care Assistants and Healthcare Assistants can earn between £22,000 to £30,000 annually, while specialised roles like Social Workers may earn between £28,000 and £38,000. This sector offers both financial stability and significant growth potential. In this Level 3 Diploma in Health & Social Care, you'll learn about the fundamentals of health and social care. You will also learn effective communication tailored for care settings, understand the rights and responsibilities of healthcare workers, and explore the roles of caregivers and healthcare professionals. The course also covers promoting equality, diversity, and rights in care, understanding legal and ethical aspects of healthcare, safeguarding vulnerable individuals, risk management in health and social care and much more. By taking this course, you'll improve your job prospects and be equipped to make a real difference in the lives of others. The curriculum ensures that upon completion, you will be an attractive candidate for various roles in this sector and a more effective, empathetic, and informed professional. So what are you waiting for? Enrol today and start your success journey! Fast-Track Your Learning: Watch the Course Trailer Get a Quick Look at The Course Content: This Level 3 Diploma in Health & Social Care Course will help you to learn: Fundamentals of Health and Social Care, including core responsibilities and ethics. Effective Communication skills tailored for health and social care settings. Understanding and upholding the Rights and Responsibilities in care environments. The Role and Skills of a Caregiver and Healthcare Professional. Promoting Equality, Diversity, and Rights in Health and Social Care. Principles and Policies governing Health and Social Care work. Legal and Professional Standards of Practice in Health Care, in two comprehensive parts. Techniques for Safeguarding Vulnerable Individuals. Comprehensive knowledge of Health and Safety Responsibilities. Effective Risk Management strategies in Health and Social Care. Preparation for real-world scenarios through Mock and Final Exams. Details Perks of Learning with IOMH One-to-one support from a dedicated tutor throughout your course. Study online - whenever and wherever you want. Instant Digital/ PDF certificate 100% money back guarantee 12 months access Process of Evaluation After studying the course, an MCQ exam or assignment will test your skills and knowledge. You have to get a score of 60% to pass the test and get your certificate. Certificate of Achievement   Certificate of Completion - Digital/PDF Certificate After completing the Level 3 Diploma in Health & Social Care course, you can order your CPD-accredited Digital/PDF Certificate for £5.99.  Certificate of Completion - Hard copy Certificate You can get the CPD Accredited Hard Copy Certificate for £12.99. (Each) Shipping Charges: Inside the UK: £3.99 International: £10.99 Who Is This Course for? Individuals aspiring to enter the health and social care sector. Existing care workers seeking formal qualifications. Nurses and healthcare assistants aiming for career advancement. Support workers in residential or community settings. Anyone interested in understanding the complexities of health and social care. Requirements You don't need any educational qualification or experience to enrol in the Level 3 Diploma in Health & Social Care course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online course. Career Path This Level 3 Diploma in Health & Social Care isn't just an investment in your education; it's a step towards a rewarding and impactful career where you make a difference every day. Some potential career paths are: Care Assistant: £20,000 - £30,000 annually Healthcare Assistant: £22,000 - £32,000 annually Support Worker: £22,000 - £30,000 annually Senior Care Worker: £25,000 - £35,000 annually Nursing Assistant: £24,000 - £35,000 annually Residential Care Home Manager: £28,000 - £40,000 annually Level 3 Diploma in Health & Social Care FAQs Q: What is health care and social care? Healthcare is more easily understood. It is the care that professionals or pharmaceutical companies provide for well-defined illnesses, injuries, or diseases or to prevent such conditions. It also includes care for pregnant women, who may be healthy and may have healthy fetuses but need facilitation to give birth. Social care addresses a wide range of needs beyond healthcare, although the two are interrelated. It helps individuals better adapt to a social and family environment. The term and its boundaries need to be more well-defined. Q. What is level 3 of health and social care? A level 3 Health and social care qualification is equivalent to A-levels. It is usually done as a BTEC (however, if you're 19+, it's usually an NVQ or an Access course). You do one year for a Subsidiary Diploma, and after completing the second year, you get an Extended Diploma worth three A-levels. It's basically the go-to qualification if you want to go to university to study Nursing, midwifery, SALT (speech and Language), OT (occupational therapist), social work, etc. However, because it is so broad in modules you learn, you can work in some areas of schools. Q. Why do you want to study health and social care? Health and social care is an amazing learning field where you will learn how issues like mental health, poverty and the use of recreational drugs impact individuals. You will also learn different aspects of this arena.  You will learn- - Fundamentals of Health and Social Care. - Effective Communication skills tailored for health and social care. - Understanding and upholding the Rights and Responsibilities in care environments. - The Role and Skills of a Caregiver and Healthcare Professional. - Promoting Equality, Diversity, and Rights in Health and Social Care. - Principles and Policies governing Health and Social Care work. - Effective Risk Management Strategies in Health and Social Care. Q. What's the best career choice for health and social care? The best career choices in health and social care include:   - Nursing: Providing direct patient care and working in diverse healthcare settings. - Medicine: Diagnosing, treating illnesses, and leading healthcare teams. - Allied Health Professions: Specialised assessments and therapeutic interventions in physiotherapy, occupational therapy, and radiography. - Social Work: Supporting individuals and families facing challenging circumstances. - Counselling and Psychotherapy: Helping individuals navigate mental health challenges and providing therapy. - Public Health: Improving population health, developing policies, and promoting disease prevention. - Health Administration and Management: Overseeing healthcare facilities and ensuring efficient delivery of services. - Caregiving and Support Roles: Directly providing care and support to needy individuals. Q. What do you do for health and social care GCSE? To make an outstanding result, you have to cover these topics - - Personal Development and Relationships - Health, Social Care and Early Years Provision - Health and Wellbeing - Health, Social Care and Early Years in Practice Q. What is RQF Health and Social Care? The RQF Health and Social Care or RFQ Level 2 Diploma in Health & Social Care is a suitable qualification for those who are just starting employment in the social care industry or those who are already working as a social care assistant/worker. Q. Why I will study NVQ Health and Social Care? The NVQ Health and Social Care or Level 2/ Level 3/ Level/ Level 5 NVQ Health and social care programme will help you reach your fullest potential and make a more significant impact on the lives of the most vulnerable community members. You will look at equality and diversity, growth, and development, as well as the role of safeguarding and protection in health and social care.  Course Curriculum Module 1: Introduction to Health and Social Care Module 1: Introduction to Health and Social Care 00:19:00 Module 2: Communication and its Relevance Module 2: Communication and its Relevance 00:42:00 Module 3: Rights and Responsibilities as a Health and Social Care Worker Module 3: Rights and Responsibilities as a Health and Social Care Worker 00:38:00 Module 4: Role as A Caregiver and Healthcare Professional Module 4: Role as A Caregiver and Healthcare Professional 00:26:00 Module 5: Working in Health and Social Care: Promoting Equality, Diversity and Rights Module 5: Working in Health and Social Care: Promoting Equality, Diversity and Rights 00:49:00 Module 6: Important Principles and Policies in Health and Social Care Work Module 6: Important Principles and Policies in Health and Social Care Work 00:23:00 Module 7: Understanding Legal, Professional Standards of Practice and Ethical Aspects of Health Care Part - 1 Module 7: Understanding Legal, Professional Standards of Practice and Ethical Aspects of Health Care (Part - 1) 00:50:00 Module 8: Understanding Legal, Professional Standards of Practice and Ethical Aspects of Health Care (Part - 2) Module 8: Understanding Legal, Professional Standards of Practice and Ethical Aspects of Health Care (Part - 2) 00:48:00 Module 9: Safeguarding Vulnerable Individuals Module 9: Safeguarding Vulnerable Individuals 00:52:00 Module 10: Health and Safety Responsibilities Module 10: Health and Safety Responsibilities 00:51:00 Module 11: Risk Management in Health and Social Care Module 11: Risk Management in Health and Social Care 00:03:00 Mock Exam Mock Exam - Level 3 Diploma in Health & Social Care 00:20:00 Final Exam Final Exam - Level 3 Diploma in Health & Social Care 00:20:00

Are you ready to take your teaching career to the next level with a government-regulated qualification? The Focus Awards Level 3 Award in Education and Training (RQF) is your pathway to success. Delivered by Focus, the UK's rapidly growing awarding organisation, this qualification is designed to meet the highest standards. Backed by the UK government and governed by Ofqual, Focus ensures the utmost professionalism and recognition of your educational achievements. This course addresses the core challenges faced by educators and empowers you with the skills and knowledge needed to excel in the dynamic field of education and training. This comprehensive course comprises units that cover roles, responsibilities, relationships, inclusive teaching, and assessment in the education and training sector. With engaging content and interactive resources, you'll gain the expertise needed to thrive as an educator. Learning Outcomes Develop effective communication skills with children, young people, and adults. Understand the organisational structure and functions of schools. Gain insights into child and young person development. Learn how to safeguard the well-being of children and young people. Why Choose Focus Awards? Choosing Focus Awards for your educational and training programs provides several significant benefits. As an accrediting body overseen by Ofqual, their certifications are widely recognised both nationally and globally, guaranteeing you are held to the highest educational standards. Focus Awards is a dynamic choice for a relevant and unique learning experience because of its commitment to professionalism, rapid expansion, and numerous qualification offerings. Choosing Focus Awards improves your professional chances, personal development, and educational accomplishments. Benefits you will gain Benefits you will enjoy include: Access to top-notch virtual learning resources. Round-the-clock availability of course modules. An intuitive and user-friendly online platform. Adherence to established standards. A qualification that holds recognized value. Outstanding customer service support. Guided Learning Hours Guided Learning Hours (GLH) encompass all instances of direct interaction, support, or supervision provided to learners by educators, tutors, trainers, or accredited education/training providers. For this qualification, the specified Guided Learning Hours total 48 hours. Total Qualification Time The Total Qualification Time (TQT) encompasses both guided learning hours (GLH) and an estimate of the hours a student is anticipated to commit to independent preparation, study, and other-directed learning activities, including assessments not under direct supervision. Qualification credit values are based on TQT, where one credit corresponds to 10 hours of learning. For this particular qualification, the Total Qualification Time is established at 120 hours. Method of Assessment The method of assessment for this course comprises written assignments and microteaching sessions. Specifically, in Unit 2, learners are required to engage in a one-hour micro teaching activity. Within this session, each learner must deliver a 15-minute teaching session, which will be observed and assessed by a tutor. Following their own presentation, learners have the option to either conduct additional microteaching sessions or observe their peers for the remaining 45 minutes. It's important to note that all assignments must be submitted through an online platform, and simulating the qualification is strictly prohibited. Progression Upon successful completion of the qualification, learners can explore various pathways for advancement: Level 4 Certificate in Education and Training (CET): This program builds on the foundation of Level 3 AET and is crucial for those aspiring to take on more advanced teaching roles. Level 5 Diploma in Education and Training (DET): Equivalent to a foundation degree, this diploma offers a more profound insight into the nuances of teaching and learning. Specialised Teaching Qualifications: Tailor your expertise with options in areas such as literacy, numeracy, ESOL, or teaching learners with disabilities. Assessor and IQA Qualifications: Unlock assessment roles by acquiring Level 3 CAVA or Level 4 IQA qualifications. Continuous Professional Development (CPD): Stay current and improve your skills through workshops, conferences, and training opportunities. Higher Education: Consider pursuing a bachelor's degree or higher education for expanded career prospects in the field. Employment Opportunities: Apply for teaching positions within adult education settings after completing the Level 3 AET. Personalised Career Goals: Your progression path depends on your individual aspirations, subject interests, and preferred educational environments. Qualification Purpose The purpose of the Focus Awards Level 3 Award in Education and Training (RQF) is to enable learners to acquire a comprehensive understanding of the roles, responsibilities, and dynamics involved in the field of education and training. Who is this course for? Aspiring educators seeking formal training and certification. Practising teachers looking to enhance their teaching methodologies. Professionals transitioning into teaching roles. Educational support staff eager to broaden their skills. Requirements No specific qualifications or prior experience are necessary to enrol in the Focus Awards Level 3 Award in Education and Training (RQF) course. This course does not mandate a teaching placement and is accessible to individuals aged 19 years and above, provided they possess a minimum high school qualification. Career path Adult Education Teacher: £30,000 to £40,000 per year Corporate Trainer: £30,000 to £45,000 per year Community College Instructor: £35,000 to £50,000 per year Training Coordinator: £25,000 to £35,000 per year ESL (English as a Second Language) Instructor: £25,000 to £40,000 per year Assessor or Verifier: £25,000 to £35,000 per year Career Counsellor: £30,000 to £45,000 per year Note: Registration, Assessment, Certification fee included within this price.