Deaf Awareness Training Overview 1 to 1 Live Tutor Support Included | Accredited by CPD | Interactive One Day Training Deaf Awareness Training: a powerful tool that promotes inclusion and improves access for deaf people and those with hearing loss. Deaf Awareness Training Course Description: This Deaf Awareness programme is a general introduction to deafness. Its purpose is to provide information and strategies that will enable individuals to understand a range of deaf issues and use the knowledge gained to communicate more effectively with those from the hard of hearing through to the profoundly deaf. It is designed for anyone in a work or social capacity who has the potential to come into contact with deaf people, for example, banks and retail staff, care workers, education and training bodies, emergency services, hospital and health centre staff, housing associations, legal services, public sector workers, support organisations, theatre and cinema staff, transport bodies and breakdown services, friends, family members and partners, whilst also being a valuable first step for people planning on becoming a communication professional. The programme will equip the reader with awareness skills that when applied will reduce the barriers arising from the communication difficulties between hearing and deaf people. **This course is distributed under the Lead Academy licence.** In Deaf Awareness Training you'll learn about: The importance of deaf awareness, being deaf, different experiences of deafness and hearing loss: you'll experience different perspectives of deafness to enable you to understand how it affects individuals. A history of deafness: we look back through history and consider how attitudes and policies impact on deaf people, then and now. Deaf culture and sign language: you'll gain an insight into unique communities who identify not as a group with a disability but as cultural minorities with their own languages. Equal access: we look at why equal access is important, the effectiveness of lipreading, guidance on good communication and adjustments related to deafness. Some commonly available communication aids and support - from qualified communication-support professionals to technology such as real-time speech-to-text. Accredited by CPD CPD is Recognised by Employers Areas for discussion: Understand how to remove communication barriers A personal experience; how it is to live with a hearing loss Strategies for improved communication Managing your environment and improve accessibility to your services Understand the current hearing technologies to help you understand how hearing loss impacts 11 million people who are affected in the UK Meet the Trainer Adam Linsdell Hello. My name is Adam and I am a British Sign Language Teacher. I am Deaf and have been using British Sign Language since I was a teenager. My personal experience of Deafness was my primary reason for learning BSL and why I have such a deep passion for this beautiful and expressive language. I have studied BSL to NVQ Level 6 and trained to become a teacher, enabling me to achieve my dream of teaching BSL in my local community. This opportunity has enabled me to work with the local Deaf community, building strong relationships and links. I have taught sign language throughout Cambridge, teaching at Anglia Ruskin University, Cambridge Regional College, Cambridgeshire Deaf Association and Cottenham Village College. Usually, I teach face to face but due to the COVID pandemic, my classes moved online - this has been a new experience and a great opportunity for me and my learners. Deaf Awareness Training, Winter 2021 Class starts 4th December 2021 Weekly via Zoom with face to face session Duration: 3 Hours Day & Time: Saturday Mornings, 10.00am - 01.00pm Deaf Awareness Training Full Specification Venue: Zoom Online Teacher: Adam Landsdell Who this course is for: The course is aimed at anyone who interacts with deaf people, or those with a hearing loss, who wishes to have a deeper understanding of the issues they face and Deaf culture. Progression Routes: Further courses are available which cover British Sign Language in more depth: BSL Taster (6 to 12 hours) Level 1 Award in British Sign Language BSL at Work (up to 12 hours) **This course is distributed under the Lead Academy licence.** Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Types of Deafness Statistics Differing Abilities Language Barriers Communication Tactics and Tips (Communication Professionals) Communication Support and How to Use it Modifying Documents and Plain English Use Interpreting Technology / Assistive Aids Legislation Deaf History and Deaf Culture Basic British Sign Language (BSL syntax & grammar) Gesture & Expression Obtain Your Certificate
Certification After successfully completing the course, you will be able to get the UK and internationally accepted certificate to share your achievement with potential employers or include it in your CV. The PDF Certificate + Transcript is available at £6.99 (Special Offer - 50% OFF). In addition, you can get a hard copy of your certificate for £12 (Shipping cost inside the UK is free, and outside the UK is £9.99).
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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.
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