Name: Presentation Skills 1 Day Workshop in Sheffield
Price: 595 GBP
Availability: InStock

Liverpool

<h1 dir="ltr" id="isPasted" fr-original-style="" style="box-sizing: border-box;">Course Overview:</h1>This training based on leading teams will help you to develop anyone that leads a team or is involved in a leadership role. It is also useful for those that are about to embark on a position of leadership or need to develop their leadership skills.Course Contents:Having an effective team around you is crucial. However, it is an area that is often left to chance, which can lead to de-motivated individuals that do not feel part of the business and consequently do not perform. This course looks at what it takes to lead an effective team and how you can get the best out of the people in it by understanding the role of the leader, both personally and from the point of view of the team.Course Topics:<ul fr-original-style="" style="box-sizing: border-box;"><li dir="ltr" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Qualities of an Effective Leader&nbsp;&ndash; Identifying the key characteristics of effective leaders, rating themselves against them and establishing key actions to develop the skills.</li><li dir="ltr" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Leader or Manager?&nbsp;&ndash; Establishing the difference between the two and comparing themselves to those qualities.</li><li dir="ltr" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">That Vision Thing&nbsp;&ndash; Making the business vision &lsquo;live&rsquo; for the team by answering key questions.</li><li dir="ltr" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Developing Your Team Goals&nbsp;&ndash; Reviewing an action plan that develops clear goals for their team based on the business vision.</li><li dir="ltr" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Motivation&nbsp;&ndash; Determining the &lsquo;Why&rsquo; for their staff and developing an understanding of emotions in a business context.</li><li dir="ltr" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">What Motivates?&nbsp;&ndash; Looking at specific motivators for individuals and understanding that everyone is motivated by different things.</li><li dir="ltr" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Being Consistently Different&nbsp;&ndash; Going against popular leadership theory and identifying that each staff member needs to be treated differently.</li><li dir="ltr" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Dealing With Difficult Team Members&nbsp;&ndash; Understanding why team members are difficult. Looking at different behavior types and strategies for responding to them. Also, realizing that &lsquo;difficult&rsquo; behavior sometimes has its benefits.</li><li dir="ltr" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Coaching&nbsp;&ndash; Using a simple method of coaching, including action plans.</li><li dir="ltr" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Three Key Skills of Coaching&nbsp;&ndash; Looking at the skills required to be an effective coach.</li><li dir="ltr" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Instant Results Coaching&nbsp;&ndash; Coaching in a hurry!</li><li dir="ltr" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Can Do Coaching Practice&nbsp;&ndash; Putting the learning into practice</li></ul>Course Feature:By the end of this training you will be able to:<ul fr-original-style="" style="box-sizing: border-box;"><li dir="ltr" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Explain the qualities of an effective leader</li><li dir="ltr" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Benchmark themselves against those qualities and develop actions to improve</li><li dir="ltr" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Explain the difference between leading and managing</li><li dir="ltr" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Explain the value of sharing the business vision with the team</li><li dir="ltr" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Develop team goals based on the business vision</li><li dir="ltr" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Motivate their staff by understanding their drivers and developing actions to support them</li><li dir="ltr" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Deal with difficult staff members</li><li dir="ltr" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Challenge staff in a meaningful and effective way</li><li dir="ltr" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Coach staff effectively using a simple process</li></ul>Certification:Once after the training you receive course completion certificate from MangatesWho can Attend?Anybody who is interested in learning Effective Skills to Lead a Team.

Certificate: Course Completion Certificate | Language: English
Duration: 1 Day | Credits: 8 PDUs
Course Delivery: Classroom | Virtual Live
Lunch and Beverages are included in a classroom session
Course Overview:
According to a 1973 survey by the Sunday Times of London, 41% of people list public speaking as their biggest fear. Forget small spaces, darkness, and spiders, standing up in front of a crowd and talking is far more terrifying for most people. Through this workshop you will become more confident and relaxed in front of an audience which will translate into a successful speaking event.
However, mastering this fear and getting comfortable speaking in public can be a great ego booster, not to mention a huge benefit to your career. The Public Speaking workshop will give participants some public speaking skills, including in-depth information on developing an engaging program and delivering their presentation with power.
Learning Objectives:
Inside This Training, You'll Learn
Completely remove your stage fear and become a dynamic speaker
Raise your confidence up to a level you never thought to be possible!
Deeper insights into group dynamics
Presentation design, skills & styles
Tools to get your audience to say yes to you
Advanced new behavior patterns required for public speaking
Control time for effective training
Secrets of mind control techniques
Develop your personal winning style
Agenda:
Module One: Identifying Your Audience
Performing a Needs Analysis
Creating an Audience Profile
Identifying Key Questions and Concerns
Module Two: Creating a Basic Outline
Outlining the Situation
Identifying the Task That Had to Be Performed
Listing the Actions You Took
Revealing the Results
Module Three: Organizing the Program
Making Organization Easy
Organizational Methods
Classifying and Categorizing
Module Four: Fleshing It Out
Identifying Appropriate Sources
Establishing Credibility
The Importance of Citations
Module Five: Putting It All Together
 Writing Your Presentation
Adding a Plan B
Reviewing, Editing, and Rewriting
Module Six: Being Prepared
Checking Out the Venue
Gathering Materials
A 24 Hour Checklist
Module Seven: Overcoming Nervousness
A Visit from the Boss
Preparing Mentally
Physical Relaxation Techniques
Appearing Confident in Front of the Crowd (Even If You Donâ€™t Feel That Way)
Module Eight: Delivering Your Speech (I)
Starting Off on the Right Foot
Using Visual Aids
Checking the Volume of Your Voice
Module Nine: Delivering Your Speech (II)
Adjusting on the Fly
Gauging Whether Breaks Are Required
Wrapping Up and Winding Down
Module Ten: Questions and Answers
Ground Rules
Answering Questions That Sound Like an Attack
Dealing with Complex Questions
Module Eleven: Wrapping Up
Words from the Wise
Review of Parking Lot
Lessons Learned
Completion of Action Plans and Evaluations
Target Audience:
Anybody who is interested in Public Speaking Skills

Mangates

Public Speaking 1 Day Training in Liverpool

The sale ends 5 days before the event starts.

Early Bird Fee

The sale ends 10 days before the event starts.

Standard Fee

Dumfries

Public Speaking 1 Day Training in Dumfries

Caernarfon

Public Speaking 1 Day Training in Caernarfon

Preston

Public Speaking 1 Day Training in Preston

Go from Beginner to Super Advance Level in Machine Learning Algorithms using Python and Mathematical Insights
Want to become a good Data Scientist? Then this is a right course for you.
This course has been designed by IIT professionals who have mastered in Mathematics and Data Science. We will be covering complex theory, algorithms and coding libraries in a very simple way which can be easily grasped by any beginner as well.
We will walk you step-by-step into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science from beginner to advance level.
We have solved few Kaggle problems during this course and provided complete solutions so that students can easily compete in real world competition websites.
All the codes and supporting files for this course are available at: https://github.com/PacktPublishing/Machine-Learning-with-Real-World-Projects
What You Will Learn
Master Machine Learning in Python
Learn to use MatplotLib for Python Plotting
Learn to use Numpy and Pandas for Data Analysis
Learn to use Seaborn for Statistical Plots
Learn All the Mathematics Required to understand Machine Learning Algorithms
Implement Machine Learning Algorithms along with Mathematic intuitions
Projects of Kaggle Level are included with Complete Solutions
Learning End to End Data Science Solutions
All Advanced Level Machine Learning Algorithms and Techniques like Regularisations, Boosting, Bagging and many more included
Learn All Statistical concepts To Make You Ninza in Machine Learning
Real-World Case Studies
Model Performance Metrics
Deep Learning
Model Selection
Audience
Anyone who wants to build his career in Data Science / Machine Learning
Approach
An exhaustive course packed with step-by-step instructions, working examples, and helpful advice. This course is divided into clear chunks so you can learn at your own pace and focus on your own area of interest.
Key Features
Learn Machine Learning with real-world case studies * Learn complex theory, algorithms and coding libraries in a very simple way
Github Repo
https://github.com/packtpublishing/machine-learning-with-real-world-projects
About the Author
Geekshub Pvt. Ltd.
Geekshub is an online education company in the field of big data and analytics. Their aim as a team is to provide the best skill-set to their customers to make them job-ready and prepare them to crack any challenge. They have the best trainers for cutting-edge technologies such as machine learning, deep learning, Natural Language Processing (NLP), reinforcement learning, and data science. Their instructors are people who graduated from IIT, MIT and Standford. They are passionate about teaching the topics using curated real-world case studies that calibrate the learning experience of students.
Course Outline
1. Simple Linear Regression

1. Installing Anaconda & using Jupyter Notebook
Simple Linear Regression: Installing Anaconda & using Jupyter Notebook
2. Introduction to Machine Learning
Simple Linear Regression: Introduction to Machine Learning
3. Types Of Machine Learning
Simple Linear Regression: Types Of Machine Learning
4. Introduction to Linear Regression (LR)
Simple Linear Regression: Introduction to Linear Regression (LR)
5. How LR Works
Simple Linear Regression: How LR Works
6. Some Fun with Maths Behind LR
Simple Linear Regression: Some Fun with Maths Behind LR
7. R Square
Simple Linear Regression: R Square
8. LR Case Study Part1
Simple Linear Regression: LR Case Study Part1
9. LR Case Study Part2
Simple Linear Regression: LR Case Study Part2
10. LR Case Study Part3
Simple Linear Regression: LR Case Study Part3
11. Residual Square Error (RSE)
Simple Linear Regression: Residual Square Error (RSE)
2. Multiple Linear Regression

1. Introduction
Multiple Linear Regression: Introduction
2. Case study Part1
Multiple Linear Regression: Case study Part1
3. Case study Part2
Multiple Linear Regression: Case study Part2
4. Case study Part3
Multiple Linear Regression: Case study Part3
5. Adjusted R Square
Multiple Linear Regression: Adjusted R Square
6. Case Study Part1
Multiple Linear Regression: Case Study Part1
7. Case Study Part2
Multiple Linear Regression: Case Study Part2
8. Case Study Part3
Multiple Linear Regression: Case Study Part3
9. Case Study Part4
Multiple Linear Regression: Case Study Part4
10. Case Study Part5
Multiple Linear Regression: Case Study Part5
11. Case study Part6 (RFE)
Multiple Linear Regression: Case study Part6 (RFE)
3. Hotstar, Netflix Real world Case Study for Multiple Linear Regression

1. Introduction to The Problem Statement
Hotstar, Netflix Real world Case Study for Multiple Linear Regression: Introduction to The Problem Statement
2. Playing with Data
Hotstar, Netflix Real world Case Study for Multiple Linear Regression: Playing with Data
3. Building Model Part1
Hotstar, Netflix Real world Case Study for Multiple Linear Regression: Building Model Part1
4. Building Model Part2
Hotstar, Netflix Real world Case Study for Multiple Linear Regression: Building Model Part2
5. Building Model Part3
Hotstar, Netflix Real world Case Study for Multiple Linear Regression: Building Model Part3
6. Verification of Model
Hotstar, Netflix Real world Case Study for Multiple Linear Regression: Verification of Model
4. Gradient Descent

1. Pre-req for Gradient Descent part1
Gradient Descent: Pre-req for Gradient Descent part1
2. Pre-req for Gradient Descent part2
Gradient Descent: Pre-req for Gradient Descent part2
3. Cost Functions
Gradient Descent: Cost Functions
4. Defining Cost Functions more formally
Gradient Descent: Defining Cost Functions more formally
5. Gradient Descent
Gradient Descent: Gradient Descent
6. Optimisation
Gradient Descent: Optimisation
7. Closed Form Vs Gradient Descent
Gradient Descent: Closed Form Vs Gradient Descent
8. Gradient Descent Case Study
Gradient Descent: Gradient Descent Case Study
5. KNN

1. Introduction to Classification
KNN: Introduction to Classification
2. Defining Classification Mathematically
KNN: Defining Classification Mathematically
3. Introduction To KNN
KNN: Introduction To KNN
4. Accuracy of KNN
KNN: Accuracy of KNN
5. Effectiveness of KNN
KNN: Effectiveness of KNN
6. Distance Metrics
KNN: Distance Metrics
7. Distance Metrics Part2
KNN: Distance Metrics Part2
8. Finding K
KNN: Finding K
9. KNN on Regression
KNN: KNN on Regression
10. Case Study
KNN: Case Study
11. Classification Case1
KNN: Classification Case1
12. Classification Case2
KNN: Classification Case2
13. Classification Case3
KNN: Classification Case3
14. Classification Case4
KNN: Classification Case4
6. Model Performance Metrics

1. Performance Metrics Part1
Model Performance Metrics: Performance Metrics Part1
2. Performance Metrics Part2
Model Performance Metrics: Performance Metrics Part2
3. Performance Metrics Part3
Model Performance Metrics: Performance Metrics Part3
7. Model Selection Part1

1. Model Creation Case1
Model Selection Part1: Model Creation Case1
2. Model Creation Case2
Model Selection Part1: Model Creation Case2
3. Grid Search Case Study Part1
Model Selection Part1: Grid Search Case Study Part1
4. Grid Search Case Study Part2
Model Selection Part1: Grid Search Case Study Part2
8. Naive Bayes

1. Introduction to Naive Bayes
Naive Bayes: Introduction to Naive Bayes
2. Bayes Theorem
Naive Bayes: Bayes Theorem
3. Practical Example from NB with One Column
Naive Bayes: Practical Example from NB with One Column
4. Practical Example from NB with Multiple Column
Naive Bayes: Practical Example from NB with Multiple Column
5. Naive Bayes on Text Data Part1
Naive Bayes: Naive Bayes on Text Data Part1
6. Naive Bayes on Text Data Part2
Naive Bayes: Naive Bayes on Text Data Part2
7. Laplace Smoothing
Naive Bayes: Laplace Smoothing
8. Bernoulli Naive Bayes
Naive Bayes: Bernoulli Naive Bayes
9. Case Study 1
Naive Bayes: Case Study 1
10. Case Study 2 Part1
Naive Bayes: Case Study 2 Part1
11. Case Study 2 Part2
Naive Bayes: Case Study 2 Part2
9. Logistic Regression

1. Introduction
Logistic Regression: Introduction
2. Sigmoid Function
Logistic Regression: Sigmoid Function
3. Log Odds
Logistic Regression: Log Odds
4. Case Study
Logistic Regression: Case Study
10. Support Vector Machine (SVM)

1. Introduction
Support Vector Machine (SVM): Introduction
2. Hyperplane Part1
Support Vector Machine (SVM): Hyperplane Part1
3. Hyperplane Part2
Support Vector Machine (SVM): Hyperplane Part2
4. Maths Behind SVM
Support Vector Machine (SVM): Maths Behind SVM
5. Support Vectors
Support Vector Machine (SVM): Support Vectors
6. Slack Variables
Support Vector Machine (SVM): Slack Variables
7. SVM Case Study Part1
Support Vector Machine (SVM): SVM Case Study Part1
8. SVM Case Study Part2
Support Vector Machine (SVM): SVM Case Study Part2
9. Kernel Part1
Support Vector Machine (SVM): Kernel Part1
10. Kernel Part2
Support Vector Machine (SVM): Kernel Part2
11. Case Study 2
Support Vector Machine (SVM): Case Study 2
12. Case Study 3: Part1
Support Vector Machine (SVM): Case Study 3: Part1
13. Case Study 3: Part2
Support Vector Machine (SVM): Case Study 3: Part2
14. Case Study 4
Support Vector Machine (SVM): Case Study 4
11. Decision Tree

1. Introduction
Decision Tree: Introduction
2. Example Of DT
Decision Tree: Example Of DT
3. Homogenity
Decision Tree: Homogenity
4. Gini Index
Decision Tree: Gini Index
5. Information Gain Part1
Decision Tree: Information Gain Part1
6. Information Gain Part2
Decision Tree: Information Gain Part2
7. Advantages and Disadvantages Of DT
Decision Tree: Advantages and Disadvantages Of DT
8. Preventing Overlifting Issues in DT
Decision Tree: Preventing Overlifting Issues in DT
9. DT Case Study Part1
Decision Tree: DT Case Study Part1
10. DT Case Study Part2
Decision Tree: DT Case Study Part2
12. Ensembling

1. Introduction to Ensembles
Ensembling: Introduction to Ensembles
2. Bagging
Ensembling: Bagging
3. Advantages
Ensembling: Advantages
4. Runtime
Ensembling: Runtime
5. Case study
Ensembling: Case study
6. Introduction to Boosting
Ensembling: Introduction to Boosting
7. Weak Learners
Ensembling: Weak Learners
8. Shallow Decision Tree
Ensembling: Shallow Decision Tree
9. Adaboost Part1
Ensembling: Adaboost Part1
10. Adaboost Part2
Ensembling: Adaboost Part2
11. Adaboost Case Study
Ensembling: Adaboost Case Study
12. XGboost
Ensembling: XGboost
13. Boosting Part1
Ensembling: Boosting Part1
14. Boosting Part2
Ensembling: Boosting Part2
15. Xgboost Algorithm
Ensembling: Xgboost Algorithm
16. Case Study Part1
Ensembling: Case Study Part1
17. Case Study Part2
Ensembling: Case Study Part2
18. Case Study Part3
Ensembling: Case Study Part3
13. Model Selection Part2

1. Model Selection Part1
Model Selection Part2: Model Selection Part1
2. Model Selection Part2
Model Selection Part2: Model Selection Part2
3. Model Selection Part3
Model Selection Part2: Model Selection Part3
14. Unsupervised Learning

1. Introduction to Clustering
Unsupervised Learning: Introduction to Clustering
2. Segmentation
Unsupervised Learning: Segmentation
3. Kmeans
Unsupervised Learning: Kmeans
4. Maths Behind Kmeans
Unsupervised Learning: Maths Behind Kmeans
5. More Maths
Unsupervised Learning: More Maths
6. Kmeans Plus
Unsupervised Learning: Kmeans Plus
7. Value of K
Unsupervised Learning: Value of K
8. Hopkins Test
Unsupervised Learning: Hopkins Test
9. Case Study Part1
Unsupervised Learning: Case Study Part1
10. Case Study Part2
Unsupervised Learning: Case Study Part2
11. More on Segmentation
Unsupervised Learning: More on Segmentation
12. Heirarchical Clustering
Unsupervised Learning: Heirarchical Clustering
13. Case Study
Unsupervised Learning: Case Study
15. Dimension Reduction

1. Introduction
Dimension Reduction: Introduction
2. PCA
Dimension Reduction: PCA
3. Maths Behind PCA
Dimension Reduction: Maths Behind PCA
4. Case Study Part1
Dimension Reduction: Case Study Part1
5. Case Study Part2
Dimension Reduction: Case Study Part2
16. Advanced Machine Learning Algorithms

1. Introduction
Advanced Machine Learning Algorithms: Introduction
2. Example Part1
Advanced Machine Learning Algorithms: Example Part1
3. Example Part2
Advanced Machine Learning Algorithms: Example Part2
4. Optimal Solution
Advanced Machine Learning Algorithms: Optimal Solution
5. Case Study
Advanced Machine Learning Algorithms: Case Study
6. Regularization
Advanced Machine Learning Algorithms: Regularization
7. Ridge and Lasso
Advanced Machine Learning Algorithms: Ridge and Lasso
8. Case Study
Advanced Machine Learning Algorithms: Case Study
9. Model Selection
Advanced Machine Learning Algorithms: Model Selection
10. Adjusted R Square
Advanced Machine Learning Algorithms: Adjusted R Square
17. Deep Learning

1. Expectations
Deep Learning: Expectations
2. Introduction
Deep Learning: Introduction
3. History
Deep Learning: History
4. Perceptron
Deep Learning: Perceptron
5. Multi Layered Perceptron
Deep Learning: Multi Layered Perceptron
6. Neural Network Playground
Deep Learning: Neural Network Playground
18. Project - Medical Treatment

1. Introduction to Problem Statement
Project - Medical Treatment: Introduction to Problem Statement
2. Playing with Data
Project - Medical Treatment: Playing with Data
3. Translating the Problem into Machine Learning World
Project - Medical Treatment: Translating the Problem into Machine Learning World
4. Dealing with Text Data
Project - Medical Treatment: Dealing with Text Data
5. Train, Test and Cross Validation Split
Project - Medical Treatment: Train, Test and Cross Validation Split
6. Understanding Evaluation Matrix: Log Loss
Project - Medical Treatment: Understanding Evaluation Matrix: Log Loss
7. Building a Worst Model
Project - Medical Treatment: Building a Worst Model
8. Evaluating a Worst ML Model
Project - Medical Treatment: Evaluating a Worst ML Model
9. First Categorical column Analysis
Project - Medical Treatment: First Categorical column Analysis
10. Response Encoding and One Hot Encoder
Project - Medical Treatment: Response Encoding and One Hot Encoder
11. Laplace Smoothing and Calibrated classifier
Project - Medical Treatment: Laplace Smoothing and Calibrated classifier
12. Significance of first categorical column
Project - Medical Treatment: Significance of first categorical column
13. Second Categorical column
Project - Medical Treatment: Second Categorical column
14. Third Categorical column
Project - Medical Treatment: Third Categorical column
15. Data pre-processing before building machine learning model
Project - Medical Treatment: Data pre-processing before building machine learning model
16. Building Machine Learning model Part1
Project - Medical Treatment: Building Machine Learning model Part1
17. Building Machine Learning model Part2
Project - Medical Treatment: Building Machine Learning model Part2
18. Building Machine Learning model Part3
Project - Medical Treatment: Building Machine Learning model Part3
19. Building Machine Learning model Part4
Project - Medical Treatment: Building Machine Learning model Part4
20. Building Machine Learning model Part5
Project - Medical Treatment: Building Machine Learning model Part5
21. Building Machine Learning model Part6
Project - Medical Treatment: Building Machine Learning model Part6
19. Project - Quora Project

1. Quora Introduction
Project - Quora Project: Quora Introduction
2. Quora Data
Project - Quora Project: Quora Data
3. Quora Understanding ML
Project - Quora Project: Quora Understanding ML
4. Quora Data Distribution
Project - Quora Project: Quora Data Distribution
5. Quora Datalist
Project - Quora Project: Quora Datalist
6. Quora Basic Feature Engineering
Project - Quora Project: Quora Basic Feature Engineering
7. Quora Text
Project - Quora Project: Quora Text
8. Advanced Feature Engineering Part1
Project - Quora Project: Advanced Feature Engineering Part1
9. Advanced Feature Engineering Part2
Project - Quora Project: Advanced Feature Engineering Part2
10. Advanced Feature Engineering Part3
Project - Quora Project: Advanced Feature Engineering Part3
11. Advanced Feature Engineering Part4
Project - Quora Project: Advanced Feature Engineering Part4
12. Quora Advance Feature Analysis
Project - Quora Project: Quora Advance Feature Analysis
13. Featuring Text Data with TF-IDF Weighted Word2Vec
Project - Quora Project: Featuring Text Data with TF-IDF Weighted Word2Vec
14. Building Machine Learning Models - Part 1
Project - Quora Project: Building Machine Learning Models - Part 1
15. Building Machine Learning Models - Part 2
Project - Quora Project: Building Machine Learning Models - Part 2
20. Real World Problem - Investment Requirement Analysis for a Company

1. Investment Project Brief
Real World Problem - Investment Requirement Analysis for a Company: Investment Project Brief
2. Investment Project_Data Cleaning Part 1
Real World Problem - Investment Requirement Analysis for a Company: Investment Project_Data Cleaning Part 1
3. Investment Project_Data Cleaning - II Part 2
Real World Problem - Investment Requirement Analysis for a Company: Investment Project_Data Cleaning - II Part 2
4. Investment Project_Funding_Country_Sector Analysis Part 1
Real World Problem - Investment Requirement Analysis for a Company: Investment Project_Funding_Country_Sector Analysis Part 1
5. Investment Project_Funding_Country_Sector Analysis Part 2
Real World Problem - Investment Requirement Analysis for a Company: Investment Project_Funding_Country_Sector Analysis Part 2
21. Loan Analysis Project

1. Problem Statement
Loan Analysis Project: Problem Statement
2. Lending Club Default Analysis - Data Understanding and Data Cleaning
Loan Analysis Project: Lending Club Default Analysis - Data Understanding and Data Cleaning
3. Data Analysis - Univariate & Bivariate Analysis
Loan Analysis Project: Data Analysis - Univariate & Bivariate Analysis
4. Segmented Univariate Analysis
Loan Analysis Project: Segmented Univariate Analysis
22. Car Project

1. Problem Statement
Car Project: Problem Statement
2. Data Understanding and Exploration
Car Project: Data Understanding and Exploration
3. Data Cleaning & Data Preparation
Car Project: Data Cleaning & Data Preparation
4. Model Building and Evaluation
Car Project: Model Building and Evaluation
5. Final Model Evaluation
Car Project: Final Model Evaluation
23. Stack Overflow Project - Facebook Recruitment

1. Problem Statement
Stack Overflow Project - Facebook Recruitment: Problem Statement
2. Performance Metric
Stack Overflow Project - Facebook Recruitment: Performance Metric
3. Hamming Loss
Stack Overflow Project - Facebook Recruitment: Hamming Loss
4. Analysis of Tags
Stack Overflow Project - Facebook Recruitment: Analysis of Tags
5. Problem - Multi Label Part1
Stack Overflow Project - Facebook Recruitment: Problem - Multi Label Part1
6. Problem - Multi Label Part2
Stack Overflow Project - Facebook Recruitment: Problem - Multi Label Part2
7. Problem_Apply Logistic Regression with OnevsRest Classifier
Stack Overflow Project - Facebook Recruitment: Problem_Apply Logistic Regression with OnevsRest Classifier
8. Problem_Final
Stack Overflow Project - Facebook Recruitment: Problem_Final

Packt

Python

Go from Beginner to Super Advance Level in Machine Learning Algorithms using Python and Mathematical Insights

Machine Learning with Real World Projects

General Admission

This accredited seminar provides an introduction for employers, HR managers and supervisors to learn how domestic abuse can impact in the workplace.<div style="color: rgb(119, 119, 119); box-sizing: border-box;" fr-original-style=" color: rgb(119, 119, 119);">Did you know&hellip;. Domestic Abuse costs UK businesses &pound;14 billion per year. (Home Office &ndash; July 2021)This training seminar provides an opportunity for employers, HR managers, supervisors, and team leaders to learn how domestic abuse can impact in the business as well as the next steps to support your staff and protect your business.By attending this event you will gain an&bull; Increased understanding of domestic abuse&bull; Increased understanding of the legal and safety implications for employers&bull; Next steps on how your workplace can become accredited as a &lsquo;Safe Space to Work&rsquo;This on-line training workshop will introduce the social, health and legal context, employers&rsquo; responsibilities and awareness of the economic impact of domestic abuse. By the end of the session attendees will feel confident in taking the next steps to ensure their workplace is a Safe Space.This training workshop will provide the first step towards understanding a many layered and complex subject.CPD credits are awarded with this workshop.Attendees will receive handouts and a certificate (if required).This event is hosted by Julie Johns MBE. The workshop will be delivered as a 1 hour live Zoom event and is being offered at &pound;30 per person. </div>

This accredited seminar provides an introduction for employers, HR managers and supervisors to learn how domestic abuse can impact in the workplace.

Did you know…. Domestic Abuse costs UK businesses £14 billion per year. (Home Office – July 2021)

This training seminar provides an opportunity for employers, HR managers, supervisors, and team leaders to learn how domestic abuse can impact in the business as well as the next steps to support your staff and protect your business.

By attending this event you will gain an
• Increased understanding of domestic abuse
• Increased understanding of the legal and safety implications for employers
• Next steps on how your workplace can become accredited as a ‘Safe Space to Work’

This on-line training workshop will introduce the social, health and legal context, employers’ responsibilities and awareness of the economic impact of domestic abuse. By the end of the session attendees will feel confident in taking the next steps to ensure their workplace is a Safe Space.

This training workshop will provide the first step towards understanding a many layered and complex subject.

CPD credits are awarded with this workshop.
Attendees will receive handouts and a certificate (if required).

This event is hosted by Julie Johns MBE. 

The workshop will be delivered as a 1 hour live Zoom event and is being offered at £35 per person. 

Safe Space Consultancy

Safeguarding

Domestic Abuse

Workplace Health & Safety

Mental Health At Work

Health & Safety At Work

Domestic Violence

Continuous Professional Development (CPD)

This 1 hour on-line training seminar provides an opportunity for employers, HR managers, supervisors, and team leaders to learn how domestic abuse can impact on an employee and the business as well as the next steps to support your staff and protect your business.

An Introduction to Workplace Domestic Abuse Training (CPD Accredited)

Early Bird

This course will take you through the fundamental concepts of machine learning (ML) and artificial intelligence (AI). By the end of this course, you will be ready to dive into the advanced concepts of ML.
 Instead of using hard-coded rules for performing something, artificial intelligence (AI) and machine learning (ML) prepare the machines to learn things from data to decipher the complex patterns automatically and then use it for building multiple use cases. If you too want to make applications and solve complex problems using AI and ML, then this course will help you to get started with the basics.

The course starts by highlighting the learning objectives and explains the rise of AI in today's world. Next, you will be introduced to the concepts of ML. You will learn to understand ML terminologies and learn how to train a model. Towards the end, you will become familiar with the classification of ML systems, including the topics of supervised and unsupervised learning, regression, clustering, and reinforcement.

By the end of this course, you will have a fundamental knowledge of AI and ML.

All the resource for this course are available at https://github.com/PacktPublishing/Machine-Learning-for-Absolute-Beginners---Level-1
 <h2>What You Will Learn</h2>Find out why machine learning (ML) is called a black box Get to grips with the features and labels of ML Uncover techniques for training ML models Find out the differences between supervised and unsupervised learning Understand regression, clustering, and dimension reduction
 <h2>Audience</h2>If you are a developer, product or project manager, engineer, or a data science enthusiast, who is looking to learn the fundamentals of artificial intelligence (AI) and machine learning (ML), this course is for you. There is no prerequisite to start this course as it is specially designed for absolute beginners.
 <h2>Approach</h2>With the help of simple narration, interesting examples, and practical tips, this course helps you to get started with artificial intelligence (AI) and machine learning (ML).
 <h2>Key Features</h2>Learn the basics of artificial intelligence (AI), machine learning (ML), and deep learning * Find out how ML helps in training a model * Discover how ML systems are classified
 <h2>Github Repo</h2>https://github.com/PacktPublishing/Machine-Learning-for-Absolute-Beginners---Level-1
 <h2>About the Author</h2><h3>Idan Gabrieli</h3>Idan Gabrieli has worked in various engineering positions in Israel's high-tech industry. Idan has gained extensive experience with hundreds of business companies, transforming their challenges and opportunities into practical use cases and leveraging cutting-edge technologies.

Idan's expertise spans multiple domains, including cloud computing, machine learning, data science, and electronics. Since 2014, Idan has created and published online courses on various topics worldwide. Idan is recognized as a high-rated instructor by leading educational providers.

Idan simplifies complex technology and provides high-quality educational content with specific learning objectives that are well-structured, combining various multimedia teaching options.
 <h2>Course Outline</h2><h4>1. Getting Started with Level 1!</h4> <h4>2. The Rise of Artificial Intelligence</h4> <h4>3. Introduction to Machine Learning</h4> <h4>4. Classification of ML Systems</h4> <h4>5. Course Summary</h4>

This course will take you through the fundamental concepts of machine learning (ML) and artificial intelligence (AI). By the end of this course, you will be ready to dive into the advanced concepts of ML.
Instead of using hard-coded rules for performing something, artificial intelligence (AI) and machine learning (ML) prepare the machines to learn things from data to decipher the complex patterns automatically and then use it for building multiple use cases. If you too want to make applications and solve complex problems using AI and ML, then this course will help you to get started with the basics. The course starts by highlighting the learning objectives and explains the rise of AI in today's world. Next, you will be introduced to the concepts of ML. You will learn to understand ML terminologies and learn how to train a model. Towards the end, you will become familiar with the classification of ML systems, including the topics of supervised and unsupervised learning, regression, clustering, and reinforcement. By the end of this course, you will have a fundamental knowledge of AI and ML. All the resource for this course are available at https://github.com/PacktPublishing/Machine-Learning-for-Absolute-Beginners---Level-1
What You Will Learn
Find out why machine learning (ML) is called a black box
Get to grips with the features and labels of ML
Uncover techniques for training ML models
Find out the differences between supervised and unsupervised learning
Understand regression, clustering, and dimension reduction
Audience
If you are a developer, product or project manager, engineer, or a data science enthusiast, who is looking to learn the fundamentals of artificial intelligence (AI) and machine learning (ML), this course is for you. There is no prerequisite to start this course as it is specially designed for absolute beginners.
Approach
With the help of simple narration, interesting examples, and practical tips, this course helps you to get started with artificial intelligence (AI) and machine learning (ML).
Key Features
Learn the basics of artificial intelligence (AI), machine learning (ML), and deep learning * Find out how ML helps in training a model * Discover how ML systems are classified
Github Repo
https://github.com/PacktPublishing/Machine-Learning-for-Absolute-Beginners---Level-1
About the Author
Idan Gabrieli
Idan Gabrieli has worked in various engineering positions in Israel's high-tech industry. Idan has gained extensive experience with hundreds of business companies, transforming their challenges and opportunities into practical use cases and leveraging cutting-edge technologies. Idan's expertise spans multiple domains, including cloud computing, machine learning, data science, and electronics. Since 2014, Idan has created and published online courses on various topics worldwide. Idan is recognized as a high-rated instructor by leading educational providers. Idan simplifies complex technology and provides high-quality educational content with specific learning objectives that are well-structured, combining various multimedia teaching options.
Course Outline
1. Getting Started with Level 1!

2. The Rise of Artificial Intelligence

3. Introduction to Machine Learning

4. Classification of ML Systems

5. Course Summary


Deep Learning

This course will take you through the fundamental concepts of machine learning (ML) and artificial intelligence (AI). By the end of this course, you will be ready to dive into the advanced concepts of ML.

Machine Learning for Absolute Beginners - Level 1

Learn to build highly sophisticated deep learning and Computer Vision applications with PyTorch
PyTorch has rapidly become one of the most transformative frameworks in the field of deep learning. Since its release, PyTorch has completely changed the landscape of the deep learning domain with its flexibility and has made building deep learning models easier. The development world offers some of the highest paying jobs in deep learning. In this exciting course, instructor Rayan Slim will help you learn and master deep learning with PyTorch. Having taught over 44,000 students, Rayan is a highly rated and experienced instructor who has followed a learning-by-doing style to create this course. You'll go from a beginner to deep learning expert with your instructor completing each step of the task with you. By the end of this course, you will have built state-of-the-art deep learning and Computer Vision applications with PyTorch. The projects built in this course will impress even the most senior developers and ensure you have hands-on skills that you can bring to any project or organization.
All the code and supporting files for this course are available at https://github.com/PacktPublishing/PyTorch-for-Deep-Learning-and-Computer-Vision
What You Will Learn
Work with the tensor data structure
Implement machine and deep learning applications with PyTorch
Build neural networks from scratch
Build complex models through the applied theme of advanced imagery and Computer Vision
Solve complex problems in Computer Vision by harnessing highly sophisticated pre-trained models
Use style transfer to build sophisticated AI applications
Audience
This course is for you if you're interested in deep learning and Computer Vision. Anyone (no matter the skill level) who wants to transition into the field of artificial intelligence and entrepreneurs with an interest in working on some of the most cutting-edge technologies will find this course useful.
Approach
This course will take you right from the basics to building state-of-the-art deep learning and Computer Vision applications with PyTorch.
Key Features
This course is designed to help you become an accomplished deep learning developer even with no experience in programming or mathematics
Github Repo
https://github.com/packtpublishing/pytorch-for-deep-learning-and-computer-vision
Course Outline
1. Introduction
In this section, we are introduced to build state-of-the art Deep Learning and Computer Vision applications with PyTorch.
1. Introduction
Introduction: Introduction
2. Getting Started
In this section, we look into where can access the code files and projects.
1. Finding the codes (Github)
Getting Started: Finding the codes (Github)
2. (Free Preview): A Look at the Projects
Getting Started: A Look at the Projects
3. Intro to Tensors - PyTorch
In this section, we learn how to work with the tensor data structure.
1. Intro
Intro to Tensors - PyTorch: Intro
2. (Free Preview): 1 Dimensional Tensors
Intro to Tensors - PyTorch: 1 Dimensional Tensors
3. Vector Operations
Intro to Tensors - PyTorch: Vector Operations
4. 2 Dimensional Tensors
Intro to Tensors - PyTorch: 2 Dimensional Tensors
5. Slicing 3D Tensors
Intro to Tensors - PyTorch: Slicing 3D Tensors
6. Matrix Multiplication
Intro to Tensors - PyTorch: Matrix Multiplication
7. Gradient with PyTorch
Intro to Tensors - PyTorch: Gradient with PyTorch
8. Outro
Intro to Tensors - PyTorch: Outro
4. Linear Regression - PyTorch
This section is for you to get familiar with Machine Learning algorithm and trailing in linear model to properly fit a set of data points.
1. Intro
Linear Regression - PyTorch: Intro
2. Making Predictions
Linear Regression - PyTorch: Making Predictions
3. Linear Class
Linear Regression - PyTorch: Linear Class
4. Custom Modules
Linear Regression - PyTorch: Custom Modules
5. Creating Dataset
Linear Regression - PyTorch: Creating Dataset
6. Loss Function
Linear Regression - PyTorch: Loss Function
7. Gradient Descent
Linear Regression - PyTorch: Gradient Descent
8. Mean Squared Error
Linear Regression - PyTorch: Mean Squared Error
9. Training - Code Implementation
Linear Regression - PyTorch: Training - Code Implementation
10. Outro
Linear Regression - PyTorch: Outro
5. Perceptrons - PyTorch
We will make use of this section to cover any concepts of Perceptron's in great depth.
1. Intro
Perceptrons - PyTorch: Intro
2. What is Deep Learning
Perceptrons - PyTorch: What is Deep Learning
3. Creating Dataset
Perceptrons - PyTorch: Creating Dataset
4. Perceptron Model
Perceptrons - PyTorch: Perceptron Model
5. Model Setup
Perceptrons - PyTorch: Model Setup
6. Model Training
Perceptrons - PyTorch: Model Training
7. Model Testing
Perceptrons - PyTorch: Model Testing
8. Outro
Perceptrons - PyTorch: Outro
6. Deep Neural Networks - PyTorch
In this section, we learn to build deep Neural Networks from scratch.
1. Intro
Deep Neural Networks - PyTorch: Intro
2. Non-Linear Boundaries
Deep Neural Networks - PyTorch: Non-Linear Boundaries
3. Architecture
Deep Neural Networks - PyTorch: Architecture
4. Feedforward Process
Deep Neural Networks - PyTorch: Feedforward Process
5. Error Function
Deep Neural Networks - PyTorch: Error Function
6. Backpropagation
Deep Neural Networks - PyTorch: Backpropagation
7. Code Implementation
Deep Neural Networks - PyTorch: Code Implementation
8. Testing Model
Deep Neural Networks - PyTorch: Testing Model
9. Outro
Deep Neural Networks - PyTorch: Outro
7. Image Recognition - PyTorch
In this section, we are going to explore image datasets, talk about how we are going to use deep neural networks to have a model fit image data, we also extent our discussion to validation sets to validate neural nets.
1. Intro
Image Recognition - PyTorch: Intro
2. MNIST Dataset
Image Recognition - PyTorch: MNIST Dataset
3. Training and Test Datasets
Image Recognition - PyTorch: Training and Test Datasets
4. Image Transforms
Image Recognition - PyTorch: Image Transforms
5. Neural Network Implementation
Image Recognition - PyTorch: Neural Network Implementation
6. Neural Network Validation
Image Recognition - PyTorch: Neural Network Validation
7. Final Tests
Image Recognition - PyTorch: Final Tests
8. A note on adjusting batch size
Image Recognition - PyTorch: A note on adjusting batch size
9. Outro
Image Recognition - PyTorch: Outro
8. Convolutional Neural Networks - PyTorch
In this section, this type of neural network will change the way how we classify neural networks which classifies data with known grid like topology.
1. Convolutions and MNIST
Convolutional Neural Networks - PyTorch: Convolutions and MNIST
2. Convolutional Layer
Convolutional Neural Networks - PyTorch: Convolutional Layer
3. Convolutions II
Convolutional Neural Networks - PyTorch: Convolutions II
4. Pooling
Convolutional Neural Networks - PyTorch: Pooling
5. Fully Connected Network
Convolutional Neural Networks - PyTorch: Fully Connected Network
6. Neural Network Implementation with PyTorch
Convolutional Neural Networks - PyTorch: Neural Network Implementation with PyTorch
7. Model Training with PyTorch
Convolutional Neural Networks - PyTorch: Model Training with PyTorch
9. CIFAR 10 Classification - PyTorch
In this section, we look into CIFAR dataset and learn more about data augmentation.
1. The CIFAR 10 Dataset
CIFAR 10 Classification - PyTorch: The CIFAR 10 Dataset
2. Testing LeNet
CIFAR 10 Classification - PyTorch: Testing LeNet
3. Hyperparameter Tuning
CIFAR 10 Classification - PyTorch: Hyperparameter Tuning
4. Data Augmentation
CIFAR 10 Classification - PyTorch: Data Augmentation
10. Transfer Learning - PyTorch
In this section, we look into AlexNet and VGG16.
1. Pre-trained Sophisticated Models
Transfer Learning - PyTorch: Pre-trained Sophisticated Models
2. AlexNet and VGG16
Transfer Learning - PyTorch: AlexNet and VGG16
11. Style Transfer - PyTorch
In this section, use style transfer to build sophisticated AI applications.
1. VGG 19
Style Transfer - PyTorch: VGG 19
2. Image Transforms
Style Transfer - PyTorch: Image Transforms
3. Feature Extraction
Style Transfer - PyTorch: Feature Extraction
4. The Gram Matrix
Style Transfer - PyTorch: The Gram Matrix
5. Optimization
Style Transfer - PyTorch: Optimization
6. Style Transfer with Video
Style Transfer - PyTorch: Style Transfer with Video
12. Appendix A - Python Crash Course
This is bonus optional section for Python crash course.
1. Overview
Appendix A - Python Crash Course: Overview
2. Anaconda Installation (Mac)
Appendix A - Python Crash Course: Anaconda Installation (Mac)
3. Anaconda Installation Windows
Appendix A - Python Crash Course: Anaconda Installation Windows
4. Jupyter Notebooks
Appendix A - Python Crash Course: Jupyter Notebooks
5. Arithmetic Operators
Appendix A - Python Crash Course: Arithmetic Operators
6. Variables
Appendix A - Python Crash Course: Variables
7. Numeric Data Types
Appendix A - Python Crash Course: Numeric Data Types
8. String
Appendix A - Python Crash Course: String
9. Booleans
Appendix A - Python Crash Course: Booleans
10. Methods
Appendix A - Python Crash Course: Methods
11. Lists
Appendix A - Python Crash Course: Lists
12. Slicing
Appendix A - Python Crash Course: Slicing
13. Membership Operator
Appendix A - Python Crash Course: Membership Operator
14. Mutability
Appendix A - Python Crash Course: Mutability
15. Mutability II
Appendix A - Python Crash Course: Mutability II
16. Common Functions & Methods
Appendix A - Python Crash Course: Common Functions & Methods
17. Tuples
Appendix A - Python Crash Course: Tuples
18. Sets
Appendix A - Python Crash Course: Sets
19. Dictionaries
Appendix A - Python Crash Course: Dictionaries
20. Compound Data Structures
Appendix A - Python Crash Course: Compound Data Structures
21. Part 1 - Outro
Appendix A - Python Crash Course: Part 1 - Outro
22. Part 2 - Control Flow
Appendix A - Python Crash Course: Part 2 - Control Flow
23. If, else
Appendix A - Python Crash Course: If, else
24. elseif
Appendix A - Python Crash Course: elseif
25. Complex Comparisons
Appendix A - Python Crash Course: Complex Comparisons
26. For Loops
Appendix A - Python Crash Course: For Loops
27. For Loops II
Appendix A - Python Crash Course: For Loops II
28. While Loops
Appendix A - Python Crash Course: While Loops
29. Break
Appendix A - Python Crash Course: Break
30. Part 2 - Outro
Appendix A - Python Crash Course: Part 2 - Outro
31. Part 3 - Functions
Appendix A - Python Crash Course: Part 3 - Functions
32. Functions
Appendix A - Python Crash Course: Functions
33. Scope
Appendix A - Python Crash Course: Scope
34. Doc Strings
Appendix A - Python Crash Course: Doc Strings
35. Lambda and Higher Order Functions
Appendix A - Python Crash Course: Lambda and Higher Order Functions
36. Part 3 - Outro
Appendix A - Python Crash Course: Part 3 - Outro
13. Appendix B - NumPy Crash Course
This is bonus section on NumPy crash course.
1. Overview
Appendix B - NumPy Crash Course: Overview
2. Arrays vs Lists
Appendix B - NumPy Crash Course: Arrays vs Lists
3. Multidimensional Arrays
Appendix B - NumPy Crash Course: Multidimensional Arrays
4. One Dimensional Slicing
Appendix B - NumPy Crash Course: One Dimensional Slicing
5. Reshaping
Appendix B - NumPy Crash Course: Reshaping
6. Multidimensional Slicing
Appendix B - NumPy Crash Course: Multidimensional Slicing
7. Manipulating Array Shapes
Appendix B - NumPy Crash Course: Manipulating Array Shapes
8. Matrix Multiplication
Appendix B - NumPy Crash Course: Matrix Multiplication
9. Stacking
Appendix B - NumPy Crash Course: Stacking
10. Outro
Appendix B - NumPy Crash Course: Outro
14. Appendix C - Softmax Explanation
In this section, the author provides explanation on Softmax and cross entropy.
1. Softmax
Appendix C - Softmax Explanation: Softmax
2. Cross Entropy
Appendix C - Softmax Explanation: Cross Entropy

Computer Vision

Learn to build highly sophisticated deep learning and Computer Vision applications with PyTorch

PyTorch for Deep Learning and Computer Vision

Cambridge 

Certificate: Course Completion Certificate | Language: English

Duration: 1 Day | Credits: 8 PDUs

Course Delivery: Classroom | Virtual Live

Lunch and Beverages are included in a classroom session

Course Contents:

In a survey carried out amongst experienced, middle and senior executives, designed to determine the things that they feared most, public speaking came out as number one. Death was eighth on the list! So, most of us would rather die than stand up and present!
This session will provide you with the ideas and techniques to help them feel more confident about presenting, and will help you to become an effective presenter.

Course Topics:

Problems and fears with Presentations – Looking at the past problems delegates have felt and seen with presentations. What their fears are and their likes and dislikes of presenting.

Qualities of an Effective Presenter – Identifying what makes a presenter good and analysing the skills required.

Planning a Presentation – Key considerations when planning a presentation and planning around the audience.

Structuring Your Presentation – Considering the attention span of an audience and structuring the session around this. Using the ‘Communicating to Convince’ model to structure the presentation.

Opening Attention Grabbers – How to start a session with a bang.

Using Visual Aids – The do’s and don’ts regarding visual aids and making them effective.

Presentation Models and Tools – Identifying alternatives to PowerPoint.

Presentation style – Considering their style, including; mannerisms, gestures, eye contact, voice and nerves.

Presentation Practice – A chance to test their presenting skills and provide feedback in a safe environment.

Course Feature:

At the end of this presentation skills training course you will be able to:

Plan a presentation keeping the audience in mind
Develop clear objectives for their presentation
Use ‘attention grabbers’ to enhance their opening
Develop effective visual aids
Use several different methods and tools for presenting
Use positive presentation style behaviours
Practice their skills of presenting

Certification:

Once after the training you receive course completion certificate from Mangates

Who can Attend?

Anybody who is interested in learning Presentation Skills.

Presentation Skills 1 Day Workshop in Cambridge

Sheffield

Presentation Skills 1 Day Workshop in Sheffield

Peer supervision for clinical hypnotherapists offers several benefits that contribute to their professional growth and development. Here are some key advantages: Enhanced Reflective Practice:&nbsp;Peer supervision provides an opportunity for hypnotherapists to reflect on their own practice and gain insight into their strengths, weaknesses, and areas for improvement. Through discussions with peers, they can explore different perspectives and approaches, deepening their understanding of their therapeutic work. Continuous Learning:&nbsp;Engaging in peer supervision allows hypnotherapists to expand their knowledge base by learning from the experiences and expertise of their peers. They can share innovative techniques, new research findings, and emerging trends in the field, fostering a culture of continuous learning and professional development. Emotional Support:&nbsp;The nature of clinical hypnotherapy can be emotionally demanding, and hypnotherapists may encounter challenging situations or difficult clients. Peer supervision provides a safe and supportive space for therapists to share their experiences, express their concerns, and receive emotional support from others who understand the unique demands of their work. Feedback and Validation:&nbsp;Peer supervision offers a valuable platform for receiving feedback and validation from fellow professionals. Colleagues can provide constructive criticism, offer fresh perspectives, and help identify blind spots or areas for improvement. This feedback helps hypnotherapists refine their skills and approaches, ultimately enhancing the quality of their clinical practice. Ethical Guidance:&nbsp;Ethical considerations are crucial in the field of hypnotherapy. Peer supervision provides an opportunity for hypnotherapists to discuss ethical dilemmas they may face and seek guidance from their peers. Collaborative discussions around ethical issues help hypnotherapists maintain professional standards and navigate complex situations. Networking and Collaboration:&nbsp;Engaging in peer supervision allows hypnotherapists to build a network of professional contacts. This network can lead to collaborative opportunities, referrals, and potential partnerships, enhancing their professional growth and expanding their practice. Professional Accountability:&nbsp;Peer supervision establishes a sense of accountability among hypnotherapists. When therapists know they will be discussing their work with peers, they are more likely to maintain high standards and engage in self-reflection to ensure the quality of their practice.

Peer supervision for clinical hypnotherapists offers several benefits that contribute to their professional growth and development. Here are some key advantages:

Enhanced Reflective Practice: Peer supervision provides an opportunity for hypnotherapists to reflect on their own practice and gain insight into their strengths, weaknesses, and areas for improvement. Through discussions with peers, they can explore different perspectives and approaches, deepening their understanding of their therapeutic work.

Continuous Learning: Engaging in peer supervision allows hypnotherapists to expand their knowledge base by learning from the experiences and expertise of their peers. They can share innovative techniques, new research findings, and emerging trends in the field, fostering a culture of continuous learning and professional development.

Emotional Support: The nature of clinical hypnotherapy can be emotionally demanding, and hypnotherapists may encounter challenging situations or difficult clients. Peer supervision provides a safe and supportive space for therapists to share their experiences, express their concerns, and receive emotional support from others who understand the unique demands of their work.

Feedback and Validation: Peer supervision offers a valuable platform for receiving feedback and validation from fellow professionals. Colleagues can provide constructive criticism, offer fresh perspectives, and help identify blind spots or areas for improvement. This feedback helps hypnotherapists refine their skills and approaches, ultimately enhancing the quality of their clinical practice.

Ethical Guidance: Ethical considerations are crucial in the field of hypnotherapy. Peer supervision provides an opportunity for hypnotherapists to discuss ethical dilemmas they may face and seek guidance from their peers. Collaborative discussions around ethical issues help hypnotherapists maintain professional standards and navigate complex situations.

Networking and Collaboration: Engaging in peer supervision allows hypnotherapists to build a network of professional contacts. This network can lead to collaborative opportunities, referrals, and potential partnerships, enhancing their professional growth and expanding their practice.

Professional Accountability: Peer supervision establishes a sense of accountability among hypnotherapists. When therapists know they will be discussing their work with peers, they are more likely to maintain high standards and engage in self-reflection to ensure the quality of their practice.
Friday peer supervision and practice:* 
Join Zoom Meeting
https://us02web.zoom.us/j/82126559112?pwd=lOsloH5uxTEfYswtgAW0sRzCXg2iv0.1
Meeting ID: 821 2655 9112
Passcode: 086596

The Northern College Of Clinical Hypnotherapy

Clinical Supervision

Hypnotherapist

Professional Development

Peer Supervision for Clinical Hypnotherapists:

Peer supervision for clinical hypnotherapists fosters professional growth through enhanced reflective practice, continuous learning, emotional support, feedback and validation, ethical guidance, networking, and professional accountability.

- **Enhanced Reflective Practice**: Facilitates self-reflection, helping hypnotherapists identify strengths, weaknesses, and areas for improvement through peer discussions.
- **Continuous Learning**: Expands knowledge by sharing innovative techniques, research findings, and emerging trends, promoting ongoing professional development.
- **Emotional Support**: Provides a supportive space for therapists to share experiences and receive emotional support, addressing the emotional demands of the profession.
- **Feedback and Validation**: Offers constructive criticism and fresh perspectives, aiding in skill refinement and improved clinical practice.
- **Ethical Guidance**: Allows discussion of ethical dilemmas and collaborative solutions, ensuring adherence to professional standards.
- **Networking and Collaboration**: Builds professional networks, leading to collaboration, referrals, and partnerships.
- **Professional Accountability**: Encourages high standards and self-reflection through peer discussions, enhancing practice quality.

Peer Supervision.

Bournemouth

Our Virtual (via Zoom) course provide the same high-quality tuition as our classroom-based sessions. Quarterly meetings will take place at the Academy



Dental Nursing Diploma with National Examining Board for Dental Nurses (NEBDN) is an internationally recognised qualification that will allow you to work as a Dental Nurse in hospitals, NHS and private dental practices.

Successful completion of Dental Nursing Diploma course will enable you to register as a Dental Care Professional with the General Dental Council (GDC) and practice as a qualified Dental Nurse.


Discover the exciting world of dental nursing and be a part of a growing field that offers endless opportunities for growth and development.
How will you learn?
In addition to our traditional class-based tuition, we also offer Virtual (via Zoom) Learning courses to cater to different learning preferences. Our Virtual Learning courses provide the same high-quality tuition as our classroom-based sessions. To participate, you will need a laptop, PC, smart phone or tablet with a built-in or external camera and microphone. From the comfort of your own home, you will have the opportunity to communicate with your tutor and classmates through video chat, using your phone or computer camera. This allows for seamless interaction, discussions, and collaborative learning.

Quarterly meetings at the Academy
To ensure a well-rounded learning experience, you will be required to attend face-to-face lessons at the Academy on a quarterly basis, which means every three months. These sessions serve several important purposes:

Practical Units: Some aspects of the course require hands-on practical training. The face-to-face lessons will cover these practical units, allowing you to gain valuable experience and apply the knowledge you have acquired during the virtual learning sessions.

Tests and Mock Exams: These assessments are important for evaluating your progress, identifying areas for improvement, and preparing you for the final exams. The Academy will provide a controlled and supervised environment to ensure the integrity and fairness of these assessments.
Attending quarterly face-to-face lessons provides a balanced approach to your learning journey. It combines the convenience and flexibility of virtual learning with the benefits of in-person interactions, practical training, and assessments. By participating in these sessions, you will have the opportunity to reinforce your knowledge, receive personalized feedback, and build a stronger connection with your tutor and classmates.
The Academy is dedicated to supporting your growth and success in dental nursing field, and the face-to-face lessons are an integral part of that commitment.



Being a Dental Nurse can be an exciting and fulfilling career that allows you to make a positive impact on people’s lives while enjoying a variety of work and opportunities to learn and grow. You’ll get to work with an amazing dental team and get to know patients, helping them to feel at ease and comfortable during their visit. You’ll be the one behind the scene making sure everything runs smoothly, and you’ll be the one that patients will turn to for assistance. You’ll also get to be a part of the latest advancements in dental technology and treatment. And on top of all that, you get to have a flexible schedule and a good earning potential, with the potential to advance in your career. All in all, being a dental nurse is one of the most exciting and fulfilling career that you can have, and you’ll get to leave work every day knowing you’ve made a real difference in the lives of others.


The course is delivered by Team of Dental Professionals who are examiners, dentists and experienced Dental tutors with years of experience in teaching Dentistry.
Dental Nurses are involved in a wide range of procedures, from routine check-ups to complex surgeries, which can make the job interesting and varied.

Patient-centered care: Dental Nurses have a direct impact on the patient’s experience and can make a positive difference in people’s lives by providing them with quality care.

Professional development: Dental Nurses have the opportunity to continue their education and expand their skills, leading to advancement and new opportunities in the field.
No previous experience required – we will teach you from A to Z.
Do you need a job?
Yes, you will have 3 months’ time from the start of your course to find a placement.
The Academy provides a list of Private and NHS Dental Surgeries, who are regularly contacting us when looking for more Trainee Dental Nurses, so you can contact them directly as a registered student at the Academy. This is a paid job, unless you would like to work voluntary for personal reasons. We also provide a reference letter to the employee in case you need it.
The course is ideal for you if:
You are looking for a qualification that leads to employment
You intend to participate within dentistry and make a positive contribution to the dental health
You wish to learn how to maintain high standards of hygiene, cleanliness, health & safety
You enjoy interacting with multidisciplinary team and different people


The curriculum is based on the GDC (General Dental Council) registration requirements for dental nurses. It sets out the knowledge, skills and behavioural requirements that should be developed and demonstrated. These are set out in terms of professional competencies, with the assessment method clearly outlined (e.g. how the skills and knowledge will be assessed in the final examinations – via written questions such as multiple choice (MCQ) or extended matching questions (EMQ) or via Objective Structured Clinical Examinations – OSCEs). We are proud to announce that our Dental Nursing students has the highest examination pass rate in OSCE examinations!
Free services– workshops, mock exams, eRoE marking and internal moderation.


Earn while you learn could be another benefit for doing this course. We provide a list of Private Surgeries who have been working with us for the last 14 years and looking to recruit more Trainee Dental Nurses.
Working together – At our Dental Department, we prioritise working together with our learners every step of the way. We firmly believe in providing unwavering support, equipping you with the necessary tools, skills, and assistance to ensure your success. We take immense pride in the achievements of our students, with a long list of graduates boasting remarkable success stories. Our commitment to your success serves as the foundation for our own accomplishments
What Can You Expect to Earn as a Dental Nurse? Compared to other caring professions, Dental Nursing is well paid and offers plenty of opportunity for continued training and development. This is great for those looking on a the long-term plan for their career and those who wish to work their way up the ladder through continued learning, experience & hard work. Trainee Dental Nurse salary for standard working week will be around £23,000 per annum. Average wage for a qualified Dental Nurses between £40,417 to £42,350 p.a.
When are the exams?
There are two exams:
1. Multiple choice theory exam. November and March.
2. Practical exam. January and June. 
Record of Experience (eROE)
To be eligible to sit your first exam, you have to complete your electronic Record of Experience (eROE). The eROE has to be submitted to your tutor by 31st Jan for March exam, and 31st August for November exam. 
London Waterloo Academy supports Mouth Cancer Research Foundation and encouraging learners to raise the awareness and participate in annual 10k walk.



Study mode – virtual (via Zoom) live stream lessons combined with a quarterly meetings Saturday/Sunday at the Academy
Duration – 1 year (part time)
Virtual (via Zoom) classes – once a week
Quarterly meetings at the Academy – date are discussed with the group in advance
Next Intake/start dates (please choose one for your course to start):
21 September 2024, Saturday classes from 9am to 11am
Registration fee – £300 (includes: administration, workshops, mock exams, RoE marking, internal moderation of RoE)
Tuition Fees – £1,400 (we offer payment plan, and accept instalments)
Exam fee – £510 will be charged at the point of candidate registration with NEBDN
One day introduction course – for those who are considering/not sure whether to step up into the Dental Industry £50.00
Call us +44 (0) 7484 014980 or email to info@waterlooacademy.co.uk or Facebook – London Waterloo Academy
Office location: The Foundry, 156 Blackfriars Rd, London SE1 8EN (Southwark Station (2-3 min walk) and Waterloo/Blackfriars Station (10 min walk))

London Waterloo Academy

Dental Nurse

Dental Assistant

VIRTUAL DENTAL NURSING DIPLOMA

Registration Fee

Tuition Fee

Exam Fee

One Day Introduction Course

Chelmsford

Stratford

This two-day course is a must for anyone who is considering or already working in a role with supervisory responsibilities. This course provides an understanding of health, safety, welfare, and environmental issues. It highlights legal responsibilities and the need to promote health and safety to supervise effectively.
It is endorsed by Build UK as the standard training for all supervisors working on Build UK sites.
Aims
To give a clear understanding of health, safety, welfare, and environmental legislation that affects your supervisory role. To help you fulfil your responsibilities regarding health, safety, welfare, and the environment. To help you implement new guidance and industry best practice affected by changes.
Course Content
• Health and safety law and how it will apply to supervisors.
• Your supervisory responsibilities in controlling site safety.
• Risk assessments and the need for method statements.
• Effective site inductions, toolbox talks and method statement briefings.
• Monitoring site activities effectively.
• Timely intervention when bad practice is identified.
Prerequisites
This course is for you if you are considering, or already have, supervisory responsibilities.
Assessment
At the end of this course, all delegates will have a clear understanding of controlling health and safety on site from a supervisor’s role.
Certificate
This certification for this course is valid for 5 years and is endorsed by Build UK as a standard training for all supervisors.
To remain certified in this area, you will need to take a refresher course before the expiry date on your certificate, otherwise the full course will need to be retaken.
Instructions
Please note all Site Supervisor Training courses with the venue “Remote Learning” will be delivered by a tutor over a video call.
This training will be delivered and assessed in English language; therefore, a good standard is required to complete the course.
Further attendee information will be sent in a separate email, please check your inbox

SMC Safety Solutions

Site Supervisor Training Scheme (SSSTS) - 2 Day Course

Southampton

Portsmouth

Rotherham

Manchester

Leeds

Kingston upon Hull

Newport

Peterborough

Milton Keynes 

Dartford

Paisley

Derby

Birmingham

Luton

Hull

Northampton

Berkshire

Bedford

Liverpool 

Swansea

Essex

BASIC to ADVANCED COURSE PACKAGE

Complete 3 courses over 2 full days and receive three qualifications:

Introduction to Phlebotomy Certificate (Nationally Recognised Level 3, Ireland Level 5)
Days 1 and 2: 9.30am – 5.00pm

Advanced Phlebotomy Certificate (Nationally Recognised Level 4, Ireland Level 6)
Day 1: 5.30pm - 8.30pm

Geopace Certificate of Competency (Nationally Recognised Accredited, CPD Practical Skills)
Day 2: 5.30pm - 8.30pm

Please make sure you verify the precise dates and timings of your course when you receive your booking confirmation, as it may vary from the information provided above.






Key Facts & Summary:


COURSE 1: INTRODUCTION TO PHLEBOTOMY COURSE - NATIONALLY RECOGNISED AND ACCREDITED VENEPUCTURE COURSE
UK Level Three (Ireland Level Five)
DUALLY ACCREDITED - Open College Network (OCN) and The CPD Certification Service (21 CPD Points)

PART 1 (DAY 1) - 9.30am to 5.00pm
PART 2 (DAY 2) - 9.30am to 5.00pm

Adheres to World Health Organisation guidelines (meets or exceeds all guidelines) and Skills for Health Directive HSC376

A TWO DAY venepuncture course at Level 3. Trains up to the point of live blood draws.

On completion awards a Nationally Recognised and Accredited Certificate in Phlebotomy.

DAY ONE (PART 1) - THEORY
Attend the course location of your choice – starts at 9.30am and finishes approx. 5.00pm

DAY TWO (PART 2) - CLASSROOM
Your classroom tutor will recap on the theory element (above) after which you will begin your practical sessions learning and developing the skills required up to the point of Live Blood Draws.

DOWNLOAD A COURSE ITINERARY HERE



COURSE 2: ADVANCED PHLEBOTOMY COURSE - NATIONALLY RECOGNISED AND ACCREDITED VENEPUCTURE COURSE
UK Level Four (Ireland Level 6)
DUALLY ACCREDITED - Open College Network (OCN) and The CPD Certification Service (14 CPD Points)

PART 1 - THEORY
Complete your theory training online in the comfort of your own home or at work.

PART 2 - CLASSROOM
Follow on from your Day One Theory training, in the evening, from 5.30pm - 8.30pm

Adheres to World Health Organisation guidelines (meets or exceeds all guidelines) and Skills for Health Directive HSC376

Skills and Practical Development:
Covers advanced specialised phlebotomy techniques to give you the leading edge as a phlebotomist. Learn to use a wide range of non-routine equipment.

On completion awards a Nationally Recognised and Accredited Certificate in Advanced Phlebotomy.

DOWNLOAD A COURSE ITINERARY HERE



COURSE 3: ROUTE TO COMPETENCY MASTERCLASS
CPD ACCREDITED - The CPD Certification Service

CLASSROOM
Follow on from your Day Two practical training, in the evening, from 5.30pm - 8.30pm

Adheres to World Health Organisation guidelines (meets or exceeds all guidelines) and Skills for Health Directive HSC376

GEOPACE LIVE BLOOD SESSIONS enabling you to draw human blood under 1-to-1 supervision of your tutor. You will follow a Competency Checklist, signed off by your tutor on completion.

On completion awards a Geopace Certificate of Competency - Nationally Recognised and Accredited Route to Competency - Live Blood Draws Certificate

DOWNLOAD A COURSE ITINERARY HERE




How do I attend?

EITHER -
CLASSROOM OPTION - Attend one of our scheduled classroom locations, completing your Introduction to Phlebotomy Course over 2 days. You will also complete your Advanced Training at the end of the first day and your Competency Training at the end of the second day.

Our Introduction to Phlebotomy and Advanced Phlebotomy Training Kits are supplied at no charge when booking our virtual classroom training option.
If you would like to add one or both of these kits to your classroom training option then these are available to add at time of booking. Our comprehensive training kits each mirror the same equipment and supplies used in the classroom and both include detailed video tutorials, allowing you to continue to practice and "hone" your skills after you have completed your practical training.

OR -

VIRTUAL CLASSROOM OPTION- Complete your theory training online at home or work, then join us for a one day Zoom session to complete your Introduction to Phlebotomy virtual classroom training, followed by your Advanced Training in the evening of the same day. You have the option to add a classroom-based competency session, awarding a CPD Accredited Geopace Certificate of Competency, at time of booking.

Our Virtual Classroom option includes two very comprehensive training kits - one for your introductory course and one for your advanced course. Kits are included at no charge (normally £79.95 each) and are yours to keep and to continue to practice with after you have finished your courses. The equipment and supplies included in your kits are the same as those used if you choose the classroom option.

How do I book?

Choose whether you would like to attend in a classroom or if you would like to complete your training by virtual classroom.
Click on the Classroom - Booking Options or Virtual Classroom - Booking Options buttons below to see all upcoming dates and locations.

Please note - Competency Training
Our Route to Competency Masterclass - Live Blood Sessions can only be completed in a classroom environment. This is included when you book a classroom option. When booking the virtual classroom option you can choose to add this at time of booking. You will receive a voucher code to enable you to book onto any upcoming dates or locations. For most of our two day course we run our competency training at the end of the second day and therefore you should be able to complete your full training programme with us over two days.

If you are completing your training by virtual classroom please see our list of competency training locations here.

If you would like to "mix and match" your training dates and/or locations then please call our admin team on 01525 713377 who will be more than happy to put a training package together for you on dates and / or locations that suit you.

All courses are accredited and are Skills for Health & WHO compliant.

Geopace Training

Allied Health

Allied Health Professions (AHP)

Blood Taking

Healthcare Workers

Venepuncture

Phlebotomist

Phlebotomy

Accredited Phlebotomy

Healthcare

THIS COURSE PACKAGE INCLUDES:
1: INTRODUCTION TO PHLEBOTOMY COURSE (GPT003) - Level 3 (Ireland Level 5)
2: ADVANCED PHLEBOTOMY COURSE (GPT005) - Level 4 (Ireland Level 6)
3: GEOPACE COMPETENCY CERTIFICATE - CPD Certified (optional with Virtual Classroom)

Learn how to take blood ... train as a Phlebotomist

FAST-TRACK YOUR PHLEBOTOMY TRAINING

WITH OUR

COMPLETE TRAINING PACKAGE

20% off -  Multi-Course Discount

    Cover all stages from beginner through to Level 4

    Available as Classroom or Virtual Classroom

    Complete your beginner to advanced training in 2 days

    Awards 2 accredited qualifications - Introduction to Phlebotomy and Advanced Phlebotomy qualifications

    Both courses are dually accredited (OCN & CPD)

    Geopace Certificate of Competency included with classroom attendance or available as an option when booking virtual classroom

    Covers all steps up to live blood draw

    Learn advanced skills and techniques

    Virtual Classroom options include comprehensive Practise@Home Training Kits (yours to keep)

    Basic understanding of English language required

    OPEN TO ALL APPLICANTS


Phlebotomy Training - Beginner to Advanced PACKAGE

<div data-testid="richTextElement" style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(0, 0, 0);">ONLINE STUDY - In your own time (approx. 6 hours study time) +CLASSROOM SESSION - Morning, Afternoon or Evening session (approx. 3 hours) Awarding Body:&nbsp;Open College Network (OCN) Credit for LearningAward Level:&nbsp;Level 3 (Advanced Level) - Ireland Level 5CPD Certified:&nbsp;Yes (CPD Accreditation)Minimum Age:&nbsp;18 (16 with parental consent)Entry requirements:&nbsp;None. (English Level 2 desirable)Training Locations:&nbsp;Study online + Classroom&nbsp;OCN Accredited at UK Level 3 (Ireland Level 5) &nbsp;PART 1 - Theory:&nbsp;Complete this part of your course online at home or work in your own time (stop and start learning when it suits you). Can be completed on multiple devices - smart phones, kindle, laptop, tablet etc. PART 2 - Skills and Practical Development: Safely and competently set up and maintain a Peripheral IV Infusion. Attend a classroom location to complete your practical training. <div style="color: rgb(0, 0, 0); box-sizing: border-box;" id="isPasted" fr-original-style=" color: rgb(0, 0, 0);"> Please make sure you verify the precise dates and timings of your course when you receive your booking confirmation, as it may vary from the information provided above. </div><div style="color: rgb(85, 85, 85); box-sizing: border-box;" fr-original-style=" color: rgb(85, 85, 85);">Course Itinerary:</div><div style="color: rgb(85, 85, 85); box-sizing: border-box;" fr-original-style=" color: rgb(85, 85, 85);"> </div>PART 1 - THEORY (ONLINE) M1 - Peripheral IV Cannulation - Introduction: Definitions - understanding terminology relating to PIVC. IV Therapy and NMC guidelines. M2 - Legal &amp; Professional Responsibilities: Legal Obligations and Accountability. Criminal, Civil and Contractual law in Healthcare. Vicarious Liability and your Duty of Care. M3 - Anatomy &amp; Physiology: Sites appropriate to IV cannulation. Hand vs. arm. Advantages and disadvantages of relevant veins. An overview of Homeostasis and Fluid Balance. M4 - Hygiene and Infection Prevention &amp; Control (IPC): Reducing healthcare-associated infections. Keeping Safe. Bloodborne Pathogens and Work Practice Controls. Standard Precautions. Waste Disposal. Needle-stick injuries. M5 - Indications and Advantages: When to cannulate, infusion types and benefits over alternative infusion routes. Continuous and intermittent infusion. Prophylactic use before procedures and in unstable patients. Contraindications. M6 - Equipment: Cannula types, sizes and colour coding. How to select appropriate size. Equipment overview for total procedure. M7 - Vein Choice for Cannulation: Correct vein selection. Which veins to avoid. How to manage an unsuccessful cannulation. M8 - Procedures: Full procedure for cannulation including correct documentation. M8: Guide to Cannulation - revision M8: Video - Recap with full procedure M9 - Contraindications: When inappropriate to cannulate including patients with specific health conditions. M10 - Complications: A detailed look at potential complications during and after cannulation, including phlebitis, infections, petechiae and haematomas. Clinical signs and corrective actions. PLEASE NOTE THAT PART 1 SHOULD BE COMPLETED BEFORE JOINING US FOR YOUR PRACTICAL TRAINING PART 2 (CLASSROOM: 1 - Welcome, introductions and overview: Classroom - registration and introductions. Virtual Classroom - audio/visual checks and registration. 2 - Legal &amp; Professional Responsibilities: Overview and discussion. 3 - Anatomy - key points (appropriate to PIVC): Arteries and veins. Selecting an approprate site. Sites to avoid and &ldquo;first choice&rdquo; sites. 4 - Cannulae - selection and types: A detailed look at different types of cannulas, respective benefits and attributes. Selectinng an appropriate pVAD. 5 - Complications: Complications of pVAD insertion including examples of infiltration, haematoma, extravasation and transfixation. 6 - VIP Score: Understanding and using the Visual Infusion Phlebitis score. 7 - Equipment - overview: We take a look at all essential equipment required for PIVC. 8 - PRACTICAL SESSIONS: Multiple practical sessions throughout the session. 9 - Fluids: The importance of understanding fluids. Includes detailed overview of: maintenance fluids, Hartmann&rsquo;s solution, Colloids (and risks), blood products. 10 - Infusion Rates: Calculating infusion rates and drops per minute. This course is supported with downloadable resources and may include extra video segments to reinforce your practical training.&nbsp;<div style="color: rgb(85, 85, 85); box-sizing: border-box;" fr-original-style=" color: rgb(85, 85, 85);">(THE COURSE DELIVERY AWARDS SAME NATIONALLY RECOGNISED AND DUALLY ACCREDITED QUALIFICATION AS OUR VIRTUAL CLASSROOM COURSE VERSION)</div></div>

ONLINE STUDY - In your own time (approx. 6 hours study time) +
CLASSROOM SESSION - Morning, Afternoon or Evening session (approx. 3 hours)



Awarding Body: Open College Network (OCN) Credit for Learning
Award Level: Level 3 (Advanced Level) - Ireland Level 5
CPD Certified: Yes (CPD Accreditation)
Minimum Age: 18 (16 with parental consent)
Entry requirements: None. (English Level 2 desirable)
Training Locations: Study online + Classroom
 
OCN Accredited at UK Level 3 (Ireland Level 5)

 
PART 1 - Theory: Complete this part of your course online at home or work in your own time (stop and start learning when it suits you). Can be completed on multiple devices - smart phones, kindle, laptop, tablet etc.

PART 2 - Skills and Practical Development:
Safely and competently set up and maintain a Peripheral IV Infusion.


Attend a classroom location to complete your practical training.


Please make sure you verify the precise dates and timings of your course when you receive your booking confirmation, as it may vary from the information provided above.


Course Itinerary:
PART 1 - THEORY (ONLINE)
M1 - Peripheral IV Cannulation - Introduction:
Definitions - understanding terminology relating to PIVC.
IV Therapy and NMC guidelines.
M2 - Legal & Professional Responsibilities:
Legal Obligations and Accountability. Criminal, Civil and
Contractual law in Healthcare. Vicarious Liability and your
Duty of Care.
M3 - Anatomy & Physiology:
Sites appropriate to IV cannulation. Hand vs. arm.
Advantages and disadvantages of relevant veins.
An overview of Homeostasis and Fluid Balance.
M4 - Hygiene and Infection Prevention & Control (IPC):
Reducing healthcare-associated infections. Keeping Safe.
Bloodborne Pathogens and Work Practice Controls.
Standard Precautions. Waste Disposal. Needle-stick injuries.
M5 - Indications and Advantages:
When to cannulate, infusion types and benefits over
alternative infusion routes. Continuous and intermittent infusion.
Prophylactic use before procedures and in unstable patients.
Contraindications.
M6 - Equipment:
Cannula types, sizes and colour coding. How to select
appropriate size. Equipment overview for total procedure.
M7 - Vein Choice for Cannulation:
Correct vein selection. Which veins to avoid.
How to manage an unsuccessful cannulation.
M8 - Procedures:
Full procedure for cannulation including correct documentation.
M8: Guide to Cannulation - revision
M8: Video - Recap with full procedure
M9 - Contraindications:
When inappropriate to cannulate including patients with specific health conditions.
M10 - Complications:
A detailed look at potential complications during and after
cannulation, including phlebitis, infections, petechiae and haematomas. Clinical signs and corrective actions.

PLEASE NOTE THAT PART 1 SHOULD BE COMPLETED
BEFORE JOINING US FOR YOUR PRACTICAL TRAINING

PART 2 (CLASSROOM:
1 - Welcome, introductions and overview:
Classroom - registration and introductions.
Virtual Classroom - audio/visual checks and registration.
2 - Legal & Professional Responsibilities:
Overview and discussion.
3 - Anatomy - key points (appropriate to PIVC):
Arteries and veins. Selecting an approprate site. Sites to avoid and “first choice” sites.
4 - Cannulae - selection and types:
A detailed look at different types of cannulas, respective benefits and attributes. Selectinng an appropriate pVAD.
5 - Complications:
Complications of pVAD insertion including examples of
infiltration, haematoma, extravasation and transfixation.
6 - VIP Score:
Understanding and using the Visual Infusion Phlebitis score.
7 - Equipment - overview:
We take a look at all essential equipment required for PIVC.
8 - PRACTICAL SESSIONS:
Multiple practical sessions throughout the session.
9 - Fluids:
The importance of understanding fluids. Includes detailed overview of: maintenance fluids, Hartmann’s solution, Colloids (and risks), blood products.
10 - Infusion Rates:
Calculating infusion rates and drops per minute.

This course is supported with downloadable resources and may include extra video segments to reinforce your practical training.
 
(THE COURSE DELIVERY AWARDS SAME NATIONALLY RECOGNISED AND DUALLY ACCREDITED QUALIFICATION AS OUR VIRTUAL CLASSROOM COURSE VERSION)



Intravenous Cannulation

Aesthetics

Medicine & Nursing

Venepuncture & Cannulation

Learn how to cannulate ...

    Nationally Recognised Qualification

    OCN Accredited - Level 3 (advanced) - Ireland Level 5

    CPD Accredited - The CPD Certification Service

    Classroom or Virtual Classroom options

    Covers all steps for cannulating in arm or hand

    Practise on artificial arms and fake blood!

    Essential qualification for all IV therapies

    Phlebotomy training desirable but not essential

    Basic understanding of English language required

    OPEN TO ALL APPLICANTS


Peripheral I.V. Cannulation Course (GPT008)

Droitwich Spa

ONLINE STUDY - In your own time (approx. 6 hours study time) +
CLASSROOM SESSION - Morning, Afternoon or Evening session (approx. 3 hours)



Awarding Body: Open College Network (OCN) Credit for Learning
Award Level: Level 4 (Foundation Degree Level) - Ireland Level 6
CPD Certified: Yes (CPD Accreditation)
Minimum Age: 18 (16 with parental consent)
Entry requirements: None. (English Level 2 desirable)
Training Locations: Study online + Classroom
 
OCN Accredited at UK Level 4 (Ireland Level 6)

 
PART 1 - Theory: Complete this part of your course online at home or work in your own time (stop and start learning when it suits you). Can be completed on multiple devices - smart phones, kindle, laptop, tablet etc.

PART 2 - Skills and Practical Development:
Covers advanced specialised phlebotomy techniques to give you the leading edge as a phlebotomist. Learn to use a wide range of non-routine equipment.


Attend a classroom location to complete your practical training.


Please make sure you verify the precise dates and timings of your course when you receive your booking confirmation, as it may vary from the information provided above.


Course Itinerary:
PART 1 - THEORY (ONLINE)
M00 - Introduction:
Learning outcomes, Assumptions and Overview.
M01 - Basic Phlebotomy - revision:
Recap of basic phlebotomy theory and practice - precursor to
the advanced course.
M02 - Aspirated and Vacuated Systems:
Open systems (Syringe & Needle), closed systems (Vacutainer & Monovette), Alternative closed systems, Using Monovette - aspiration and evacuated techniques, monovette adapter systems.
M03 - Specialised and Advanced Phlebotomy Equipment:
The centrifuge - overview. Safe operation and use. Managing a centrifuge breakage or spillage.
Equipment and practices in unusual situations.
Patients with special needs and requiring specific attention.
Equipment preparation for blood samples that are collected at
0 degrees, 37 degrees C and other non-standard conditions.
A look at advances in technology and how to use the latest devices.
M04 - Point of Care Testing:
What is POC Testing? Advantages, Disadvantages and Clinical
Outcomes. Comparison of POC with lab testing. 10 common POC tests. Roles for phlebotomists performing POC Tests.
M05 - Neonates and Children:
Sample collection from new-born to pre-adult. A detailed overview of legal principles of law including child consent and child protection for phlebotomists. Neonatal and child blood collection equipment.
A comprehensive look at heel and finger-prick procedures including
microtainers, lancets and capillary tube collection. Detailed heel prick procedure. Paediatric finger prick collection. The life-threatening hazard of over-collecting. Communication techniques in differing age bands.
Consent and the law. Basic principles of lawful consent for neonates and paediatric patients. Child protection.
Detailed analysis of neonatal and paediatric blood collection including Guthrie card collection. Neonatal bottles - colours and tests. Paediatric blood gases collection.
Butterfly needles - when to use. Blood tests during pregnancy. Neonatal blood screening - nine conditions covered. Bilirubin in neonates.
M06 - Geriatric Patients:
The challenges of phlebotomy in older people. Understanding skin changes and venepuncture implications. A profile of common
geriatric blood tests. Age related problems. Procedural precautions.
M07 - Special Procedures:
Drawing blood from back of hand. Drawing blood from lower limb veins. Managing the unwilling or difficult patient. Managing the psychiatric patient. Managing the isolated patient. Non-routine blood tests. Managing the latex allergy patient (type 1 and type 4 reactions). Latex indicators. Sample handling - non-routine procedures. Drug trials and research projects.
M08 - Special Tests and Sample Handling Procedures:
A look at sample collection at specific times of day and night,
samples that are protected from light, collected on ice and
collected at body temperature. Procedures for each group - collection notes, analytic time, optimal collection time and notes for each group.
M09 - Advanced Phlebotomy Tasks:
Additional procedures. Maintaining POC equipment. Stock control and stock rotation. Quality control. Data entry. Product evaluation. Training and competency evaluation.
M10 - Alternative Environments:
A step-by-step look at non-clinical phlebotomy environments including private testing, DEFRA, forensic and police, cord blood collection, DNA analysis, veterinary services, overseas and volunteering.

PLEASE NOTE THAT PART 1 SHOULD BE COMPLETED
BEFORE JOINING US FOR YOUR PRACTICAL TRAINING

PART 2 (CLASSROOM)
MORNING , AFTERNOON OR EVENING SESSION:

1 - Welcome, introductions and overview:
- Classroom - health & safety briefing, schedule overview.
- Virtual Classroom - audio/visual checks and registration. Unpacking and overview of your training kit.
2 - Syringe and Needle (open system): Correct use and applications.
3 - Monovette (open and closed systems):
Using the Monovette system in aspiration mode - correct use and applications.
Using the Monovette system in evacuated mode - correct use and applications.
4 - IR Vein Detector:
Demonstration of the IR vein detector for assisting in detection of difficult veins.
5 - Veins in back of hand:
Detecting suitable veins in the back of the hand.
6 - POC testing:
Point of Care Testing - use of glucose meter to demonstrate a typical POC test procedure. Correct use and overview of other POC test devices.
7 - Using lancets (finger collection)
We look at the correct use of lancets for POC testing and whole blood micro-collection.
8 - Using lancets (heel collection)
We look at the correct use of lancets for neonatal blood spot tests (Guthrie Test).
9 - Capillary collection
Using glass capillary tubes for micro-collection. Correct use and handling.
10 - Microtube collection
Correct use of BD Microtainers (and similar micro-collection bottles) - collection and handling.

This course is supported with downloadable resources and may include extra video segments to reinforce your practical training.
 
(THE COURSE DELIVERY AWARDS SAME NATIONALLY RECOGNISED AND DUALLY ACCREDITED QUALIFICATION AS OUR VIRTUAL CLASSROOM COURSE VERSION)



The UK's first and only Level 4 qualification in Phlebotomy (equivalent to Ireland Level 6)

    FDSc (Foundation Degree Level) qualification

    Nationally Recognised certificate

    Dually accredited: Open College Network  and CPD

    Covers both aspirated and evacuated systems

    Covers specialised blood collection systems & methods

    Classroom or Virtual Classroom learning options

    Comprehensive Training Kit is provided when booking our Virtual Classroom option (yours to keep)

    Complete your training from beginner to advanced level

    This course either follows on from our Introduction to Phlebotomy Course  or can be combined with our introductory course as part of a course package (see below)

    Available to candidates who have completed (or are currently enrolled to complete) our Introduction to Phlebotomy Course or have previous phlebotomy practical experience.


Advanced Phlebotomy - Skills & Techniques (GPT005)

Overview
This 2 day course provides a practical introduction to Interest Rate Derivatives, equipping participants with the skills to price, trade, and manage risk across financial markets. Participants will explore key pricing concepts like bootstrapping, zero-coupon curves, and forward curves, while developing risk management techniques to navigate various market scenarios. The course also covers using derivatives to express macroeconomic views, bridging theory with real-world applications. By the end, participants will have the tools and insight to confidently engage with Interest Rate Derivatives in professional settings

Learning Objectives
Understand how to use Interest Rate Derivatives in different roles
Grasp major pricing concepts like bootstrapping, zero-coupon curve, forward curve
Develop risk management techniques to manage multiple scenarios
Express Macro views using derivatives

Who the course is for
Anyone seeking practical insights into interest rate derivatives which include:
Bank traders, market makers, sales, structurers, market risk
Portfolio managers, execution traders
Corporate treasurers, private bankers
Operations, mid and back office personnel, brokers
Graduate students and aspiring professionals aiming for careers in financial markets

Course Content
To learn more about the day by day course content please click here
To you are interested in speaking with a course specialist, you can book a meeting here

Finex Learning

Global Macro & Interest Rate Derivatives. G10, Emerging Markets and Beyond

This engaging and dynamic advanced CPD-certified course is an extension to the Born at the Right Time Essentials in Communication and Co-production with Parents/Carers. We recommend that you have completed the &#39;Essentials&#39; course before booking this course (please see our booking page or contact admin@bornattherighttime.com to find out more).&nbsp;Founded on lived experience, this course looks at the key factors which lead to a break down in relationships between parents/carers and practitioners, how this understanding can inform next steps and what meaningful connections between professionals and families might look like. Practitioners should come ready to be interactive and reflective as well as learning from psychology, sociology and research into trauma informed care. Content<ul fr-original-style="" style="box-sizing: border-box;"><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Using lived experience to understand what can lead to conflict and relationship breakdown&nbsp;</li><li style="font-size: 16px; box-sizing: border-box;" id="isPasted" fr-original-style="font-size: 16px;">Relationship building and avoiding conflict and the factors underpinning challenging situations and difficult conversations&nbsp;&nbsp;</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">System structures which negatively affect effective communication and collaboration&nbsp;</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">The impact of trauma and use of trauma informed practice&nbsp;</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">BRAVING inventory (Brene Brown) and creating healthy boundaries&nbsp;</li><li style="font-size: 16px; box-sizing: border-box;" fr-original-style="font-size: 16px;">Ways to create professional, meaningful connection with parents/carers in the current context. </li></ul>Delivery<ul fr-original-style="" style="box-sizing: border-box;"><li fr-original-style="" style="box-sizing: border-box;">2 x 3.5 hours virtual live event (7 hour CPD) on 10th and 17th October 2024</li></ul>

This engaging and dynamic advanced CPD-certified course is an extension to the Born at the Right Time Bridging the Gap: Reimagining Communication and Co-production with Parents/Caregivers. We recommend that you have completed the above course before booking this course (please see our booking page or contact admin@bornattherighttime.com to find out more). 
Founded on lived experience, this course looks at the key factors which lead to a break down in relationships between parents/carers and practitioners, how this understanding can inform next steps and what meaningful connections between professionals and families might look like. Practitioners should come ready to be interactive and reflective as well as learning from psychology, sociology and research into trauma informed care.

Content
Using lived experience to understand what can lead to conflict and relationship breakdown
Relationship building and avoiding conflict and the factors underpinning challenging situations and difficult conversations
System structures which negatively affect effective communication and collaboration
The impact of trauma and use of trauma informed practice
BRAVING inventory (Brene Brown) and creating healthy boundaries
Ways to create professional, meaningful connection with parents/carers in the current context.
Delivery
2 x 3.5 hours virtual live event (7 hour CPD) on 2nd and 9th June 2025

Born at the Right Time

Learning Disability Nurse

SENCO

Midwifery

Sen Teaching Assistant

Speech & Language Therapist

Social Worker

Occupational Therapist

Disability Awareness

Speech & Language Therapy (SLT)

Social Care

Learning Disability

Physiotherapist

Inspiring, interactive and unique 4-hour CPD certified Communication and Co-production training. 

From Conflict to Connection: Transforming Difficult Conversations with Parents/Caregivers (Jun 25)

Brightcore Consultancy delivers Senior Mental Health Lead training in schools and colleges which meets the Department for Education&rsquo;s quality criteria, and our course is in fact the highest rated of all the nationally DfE approved Senior Mental Health Lead training courses, scoring a perfect 5/5 in each of the 9 DfE quality assurance standards during the quality assurance process. It also has an incredible average delegate rating of 4.97 out of 5 for overall quality, with 100% of former delegates recommending the course (please see our many fantastic testimonials&nbsp;<a href="https://www.brightcoreconsultancy.com/brightcore-testimonials" target="_self" style="color: inherit; user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: inherit;">here</a>).The highly acclaimed Senior Mental Health Lead Training and Certificate is an extensive and authoritative training course that ensures schools/colleges have the most comprehensive, effective and financially viable whole-school/college approach to mental health and wellbeing in place. Since September 2021, this course has been fully funded by the DfE for eligible schools&nbsp;and colleges. Schools and Colleges that are ineligible for the grant are, of course, more than welcome to enrol on the course but will need to self-fund their place.Working with an&nbsp;expert trainer and a highly experienced Senior Mental Health Lead, who has&nbsp;trained Senior Mental Health Leads in over 1000 schools and colleges nationwide, you will be introduced to the DfE&rsquo;s requirements for the role of the DSMHL, and learn proven, long-term, evidence-based strategies to create, lead and promote a dynamic, bespoke mental health and wellbeing approach for your setting.<ul style="color: rgb(62, 62, 62); box-sizing: border-box;" fr-original-style=" color: rgb(62, 62, 62);"><li fr-original-style="" style="box-sizing: border-box;">Our course consists of three days of live instructor-led training as well as an additional 1-2-1 review and coaching session, and costs&nbsp;&pound;520+VAT per delegate.&nbsp;(For schools and colleges who have already completed the training with us and now wish to train further colleagues, we offer a&nbsp;subsidised rate for additional delegates of &pound;390+VAT&nbsp;- please just email us if this is an offer you would like to take up.)</li><li fr-original-style="" style="box-sizing: border-box;">Places are limited to a maximum of 15 delegates per course to ensure high quality, bespoke training.</li><li fr-original-style="" style="box-sizing: border-box;">An overview of the course structure can be found&nbsp;<a href="https://www.brightcoreconsultancy.com/_files/ugd/5bc70a_c7b3efd99188442fa7d20449bb8fd0ec.pdf" target="_blank" style="color: inherit; user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: inherit;">here.</a></li></ul>Our Course is suitable for those who are new to the role of Senior Mental Health Lead or those who are looking to take on this role in the near future, and is designed to meet the DfE&rsquo;s&nbsp;<a href="https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/995681/Learning_outcomes_for_senior_mental_health_leads_in_schools_and_colleges.pdf" target="_blank" rel="noreferrer noopener" style="color: inherit; user-select: auto; font-size: var(--font-size); box-sizing: border-box; cursor: pointer; text-decoration: inherit;" fr-original-style=" color: inherit;">Learning Outcomes for Senior Mental Health Leads</a>&nbsp;by developing and supporting their knowledge and understanding of how to design, implement and sustain an effective whole school/college approach in accordance with the eight key principles as set out by Public Health England.<a href="https://www.brightcoreconsultancy.com/brightcore-testimonials" target="_blank" style="font-size: 14px; font-family: Helvetica, Arial, sans-serif; color: rgb(255, 255, 255); font-weight: bold; text-decoration: none; border-radius: 5px; background-color: rgb(61, 86, 224); border-width: 12px 18px; border-style: solid; border-color: rgb(61, 86, 224); display: inline-block; user-select: auto; box-sizing: border-box; cursor: pointer;" rel="noopener noreferrer" fr-original-style="font-size: 14px; font-family: Helvetica, Arial, sans-serif; color: #ffffff; font-weight: bold; text-decoration: none; border-radius: 5px; background-color: #3D56E0; border-top: 12px solid #3D56E0; border-bottom: 12px solid #3D56E0; border-right: 18px solid #3D56E0; border-left: 18px solid #3D56E0; display: inline-block;" fr-original-class="wysiwyg_bold_link_cls">View all testimonials </a>

Brightcore Consultancy delivers Senior Mental Health Lead training in schools and colleges which meets the Department for Education’s quality criteria, and our course is in fact the highest rated of all the nationally DfE approved Senior Mental Health Lead training courses, scoring a perfect 5/5 in each of the 9 DfE quality assurance standards during the quality assurance process. It also has an incredible average delegate rating of 4.97 out of 5 for overall quality, with 100% of former delegates recommending the course (please see our many fantastic testimonials here).
The highly acclaimed Senior Mental Health Lead Training and Certificate is an extensive and authoritative training course that ensures schools/colleges have the most comprehensive, effective and financially viable whole-school/college approach to mental health and wellbeing in place. 
Working with an expert trainer and a highly experienced Senior Mental Health Lead, who has trained Senior Mental Health Leads in over 1000 schools and colleges nationwide, you will be introduced to the DfE’s requirements for the role of the DSMHL, and learn proven, long-term, evidence-based strategies to create, lead and promote a dynamic, bespoke mental health and wellbeing approach for your setting.
Our course consists of three days of live instructor-led training as well as an additional 1-2-1 review and coaching session, and costs £520+VAT per delegate. (For schools and colleges who have already completed the training with us and now wish to train further colleagues, we offer a subsidised rate for additional delegates of £390+VAT - please just email us if this is an offer you would like to take up.)
Places are limited to a maximum of 15 delegates per course to ensure high quality, bespoke training.
An overview of the course structure can be found here.
Our Course is suitable for those who are new to the role of Senior Mental Health Lead or those who are looking to take on this role in the near future, and is designed to meet the DfE’s Learning Outcomes for Senior Mental Health Leads by developing and supporting their knowledge and understanding of how to design, implement and sustain an effective whole school/college approach in accordance with the eight key principles as set out by Public Health England.
View all testimonials



Brightcore Consultancy

Mental Health

Brightcore Consultancy delivers Senior Mental Health Lead training in schools and colleges which meets the Department for Education’s quality criteria, and our course is in fact the highest rated of all the nationally DfE approved Senior Mental Health Lead training courses, scoring a perfect 5/5 in each of the 9 DfE quality assurance standards during the quality assurance process.

Designated Senior Mental Health Lead Course (Three full days plus 1-2-1 session)

The Temporary Works Coordinator course will provide you with knowledge of the role. You will also gain a good understanding of risk management on a temporary works site.
Course Objectives:
By the end of the course, the delegate will gain knowledge of:
The need for a temporary works co-ordinator
The day-to-day roles of others involved in the temporary works procedures
Risk assessments and method statements
Best procedures as stated in BS 5975:2019
Course Content:
The content covered by the CITB course includes:
Various groups and types of Temporary Works
Case studies, procedures and policies of Temporary Works
BS5975:2019
CDM Regulations
Legislation and relevant Codes of Practice
Register for Temporary Works, design requirements and checks
Standard solutions and guidance design documents
Temporary works Co-ordinator – job role and responsibilities
Assessment:
To successfully complete the course, you will need to get 72% or above in the final exam. The trainer encourages the delegates to be interactive and involved throughout the training.
Certificate:
The certificate for this course is valid for 5 years.
Instructions
Please note all Temporary Works Coordinator courses with the venue “Remote Learning” will be delivered by a tutor over a video call.
This training will be delivered and assessed in English language; therefore, a good standard is required to complete the course.
Further attendee information will be sent in a separate email, please check your inbox.

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