5522 Courses

Microsoft Project 2021 is a complete lifecycle project management tool that manages complex projects efficiently. This all-encompassing course molds you into an expert in project management with fundamentals to advanced techniques to handle projects of all sizes and gain confidence and proficiency in project planning, execution, and reporting.

Supporting and engaging with different parts of the organisation and interact with internal or external customer.

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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

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.

Duration 1 Days 6 CPD hours This course is intended for This course is designed for a non-technical audience and doesn't require any prior coding or technical experience. The handson exercises will be done using pre-built OpenAI tools and interfaces that are user-friendly and easy to use. Overview Working in an interactive learning environment, led by our engaging expert, you will: Get comfortable with the basics of prompt engineering and discover how it can make a difference in various business tasks, such as enhancing customer support, creating content, and fine-tuning sales pitches. Develop the knack for crafting, refining, and perfecting prompts suited to specific business situations by understanding context, user intent, and what makes a prompt great. Learn how to smoothly incorporate prompt engineering solutions into your existing business workflows, including pinpointing the right processes, integrating with your current software, and keeping data privacy and security in check. Become proficient in advanced techniques and best practices in prompt engineering, like making use of APIs, customizing language models, and collaborating with your teammates across different departments. Keep up with the latest developments in prompt engineering and be ready to adapt to changing business needs and trends, ensuring that you stay relevant and continue to grow in the dynamic business world. Prompt engineering is the process of designing and refining input prompts to get desired output from advanced language models, such as OpenAI Codex or GPT-4. It involves creating effective questions or statements that guide the AI model to generate useful responses for a specific task or purpose, like enhancing customer support, generating content, and fine-tuning sales pitches, making it an essential skill set for a wide range of business applications. Quick Start to Prompt Engineering for Everyday Business Users is a one-day, workshop style hands-on course that where you'll learn how to create effective prompts, integrate prompt engineering solutions into existing workflows, and uncover advanced techniques and best practices. Guided by our engaging, expert instructor, you?ll experiment with innovative tools and develop practical skills that can be immediately applied to a variety of projects. Whether you're aiming to enhance customer interactions, simplify content creation, or refine internal communication, this immersive learning experience will equip you with the knowledge to make a meaningful impact on your organization. Introduction to Prompt Engineering Understand the fundamentals of prompt engineering and its applications in the business world. What is prompt engineering? Importance of prompt engineering in business Key concepts and terminology Examples of prompt engineering in business scenarios Overview of popular prompt engineering tools (e.g., OpenAI Codex, GPT-4) Activity: Hands-on exploration of prompt engineering tools: Participants will engage in a fun scavenger hunt activity, where they will experiment with different prompt engineering tools to answer a set of questions. Developing Effective Prompts Learn how to create and refine prompts for a variety of business applications. Anatomy of a good prompt Understanding context and user intent Techniques for prompt iteration and optimization Generating specific and creative responses Handling sensitive information and biases Activity: Prompt development workshop: Participants will practice developing and refining prompts in a collaborative, game-like environment, where they will compete to create the most effective prompts for given business scenarios. Integrating Prompt Engineering into Business Processes Discover how to incorporate prompt engineering solutions into existing workflows. Identifying business processes that can benefit from prompt engineering Integrating prompt engineering with existing software and tools Evaluating the success and impact of prompt engineering solutions Ensuring data privacy and security Scaling prompt engineering solutions across an organization Activity: Business process integration simulation: Participants will work in teams to create a plan for integrating a prompt engineering solution into a simulated business process, with a focus on creativity and practicality. Advanced Techniques and Best Practices Gain insights into advanced techniques and best practices for prompt engineering in a business context. Leveraging APIs for prompt engineering Customizing and fine-tuning language models Adapting to changing business requirements and trends Collaborating with cross-functional teams Staying up-to-date with prompt engineering advancements Activity: Advanced prompt engineering challenge: Participants will take part in a friendly competition, using advanced techniques to solve complex business-related prompt engineering challenges. Additional course details: Nexus Humans QuickStart to Prompt Engineering for Everyday Business Users (TTAI2009) 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 QuickStart to Prompt Engineering for Everyday Business Users (TTAI2009) 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.

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Starting your Mindfulness Journey offers a guide full of useful information, explaining what mindfulness is, the benefits of meditation, journal prompts and guided meditations to get you started on your journey.

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