Duration 2 Days 12 CPD hours This course is intended for The intended audience for this comprehensive course on Information Assurance and STIGs includes professionals with roles such as: IT professionals - System administrators, network engineers, and security analysts who are responsible for maintaining and securing IT infrastructure and web applications. Developers - Software engineers and web developers who design, implement, and maintain web applications, and need to integrate security best practices throughout the development process. Project teams - Cross-functional teams that collaborate on application development projects, including members from development, testing, and deployment teams. Technical leads - Senior software engineers or architects who oversee technical aspects of projects and ensure the implementation of secure design and coding practices. Project managers - Professionals responsible for planning, executing, and closing projects, ensuring that security requirements are met throughout the project lifecycle. Overview Working in an interactive learning environment, guided by our application security expert, you'll explore: The concepts and terminology behind defensive coding Threat Modeling as a tool in identifying software vulnerabilities based on realistic threats against meaningful assets The entire spectrum of threats and attacks that take place against software applications in today's world The role that static code reviews and dynamic application testing to uncover vulnerabilities in applications The vulnerabilities of programming languages as well as how to harden installations The basics of Cryptography and Encryption and where they fit in the overall security picture The requirements and best practices for program management as specified in the STIGS The processes and measures associated with the Secure Software Development (SSD) The basics of security testing and planning Understand the concepts and terminology behind defensive coding Understand Threat Modeling as a tool in identifying software vulnerabilities based on realistic threats against meaningful assets Learn the entire spectrum of threats and attacks that take place against software applications in today's world Discuss the role that static code reviews and dynamic application testing to uncover vulnerabilities in applications Understand the vulnerabilities of programming language as well as how to harden installations Understand the basics of Cryptography and Encryption and where they fit in the overall security picture Understand the fundamentals of XML Digital Signature and XML Encryption as well as how they are used within the web services arena Understand the requirements and best practices for program management as specified in the STIGS Understand the processes and measures associated with the Secure Software Development (SSD) Understand the basics of security testing and planning The Information Assurance (STIG) Overview is a comprehensive two-day course that delves into the realm of Information Assurance, empowering you to enhance your cybersecurity skills, understand the essentials of STIGs, and discover cutting-edge web application security practices. This immersive experience is tailored for IT professionals, developers, project teams, technical leads, project managers, testing/QA personnel, and other key stakeholders who seek to expand their knowledge and expertise in the evolving cybersecurity landscape. The course focuses on the intricacies of best practices for design, implementation, and deployment, inspired by the diverse and powerful STIGs, ultimately helping participants become more proficient in application security.The first half of the course covers the foundations of DISA's Security Technical Implementation Guides (STIGs) and learn the ethical approach to bug hunting, while exploring the language of cybersecurity and dissecting real-life case studies. Our expert instrtors will guide you through the importance of respecting privacy, working with bug bounty programs, and avoiding common mistakes in the field.The next half delves into the core principles of information security and application protection, as you learn how to identify and mitigate authentication failures, SQL injections, and cryptographic vulnerabilities. You?ll gain experience with STIG walkthroughs and discover the crucial steps for securing web applications.Throughout the course, you'll also explore the fundamentals of application security and development, including checklists, common practices, and secure development lifecycle (SDL) processes. You?ll learn from recent incidents and acquire actionable strategies to strengthen your project teams and IT organizations. You'll also have the opportunity to explore asset analysis and design review methodologies to ensure your organization is prepared to face future cybersecurity challenges. DISA's Security Technical Implementation Guides (STIGs) The motivations behind STIGs Requirements that the various software development roles must meet Implementing STIG requirements and guidelines Why Hunt Bugs? The Language of CyberSecurity The Changing Cybersecurity Landscape AppSec Dissection of SolarWinds The Human Perimeter Interpreting the 2021 Verizon Data Breach Investigation Report First Axiom in Web Application Security Analysis First Axiom in Addressing ALL Security Concerns Lab: Case Study in Failure Safe and Appropriate Bug Hunting/Hacking Working Ethically Respecting Privacy Bug/Defect Notification Bug Bounty Programs Bug Hunting Mistakes to Avoid Principles of Information Security Secuity Is a Lifecycle Issue Minimize Attack Surface Area Layers of Defense: Tenacious D Compartmentalize Consider All Application States Do NOT Trust the Untrusted Identification and Authentication Failures Applicable STIGs Quality and Protection of Authentication Data Proper hashing of passwords Handling Passwords on Server Side Session Management HttpOnly and Security Headers Lab: STIG Walk-Throughs Injection Applicable STIGs Injection Flaws SQL Injection Attacks Evolve Drill Down on Stored Procedures Other Forms of Server-Side Injection Minimizing Injection Flaws Client-side Injection: XSS Persistent, Reflective, and DOM-Based XSS Best Practices for Untrusted Data Lab: STIG Walk-Throughs Applications: What Next? Common Vulnerabilities and Exposures CWE/SANS Top 25 Most Dangerous SW Errors Strength Training: Project Teams/Developers Strength Training: IT Organizations Cryptographic Failures Applicable STIGs Identifying Protection Needs Evolving Privacy Considerations Options for Protecting Data Transport/Message Level Security Weak Cryptographic Processing Keys and Key Management Threats of Quantum Computing Steal Now, Crack Later Threat Lab: STIG Walk-Throughs Application Security and Development Checklists Checklist Overview, Conventions, and Best Practices Leveraging Common AppSec Practices and Control Actionable Application Security Additional Tools for the Toolbox Strength Training: Project Teams/Developers Strength Training: IT Organizations Lab: Recent Incidents SDL Overview Attack Phases: Offensive Actions and Defensive Controls Secure Software Development Processes Shifting Left Actionable Items Moving Forward Lab: Design Study Review Asset Analysis Asset Analysis Process Types of Application-Related Assets Adding Risk Escalators Discovery and Recon Design Review Asset Inventory and Design Assets, Dataflows, and Trust Boundaries Risk Escalators in Designs Risk Mitigation Options
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Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights. Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00
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Level 1 Business Management Would you like to be a proficient professional or an acceptable novice? This Level 1 Business Management course will provide you with everything you need to start or improve your Business Management career to the next level. This Level 1 Business Management course can help you increase your technical abilities and understanding of company management. In the Level 1 Business Management course, you will study operational management and risk management. Furthermore, project management, succession planning, and other issues are included in Level 1 Business Management. You may also learn a number of strategic techniques and business management planning with this Level 1 Business Management course. This step-by-step Level 1 Business Management course also explains several difficulties and answers to aid you in making sound management decisions. Enrol in this Level 1 Business Management course right immediately to take the next step towards your personal and professional goals. Special Offers of this Business Management: Business Management Course This Business Management: Business Management Course includes a FREE PDF Certificate Lifetime access to this Business Management: Business Management Course Instant access to this Business Management: Business Management Course Get FREE Tutor Support to this Business Management: Business Management Course Level 1 Business Management Take your career to new heights with our Business Management Level 1 course! Whether you’re a beginner or looking to enhance your skills, this Business Management course equips you with the essential knowledge to excel. Learn operational and risk management, along with project management and succession planning, through our Business Management course. You’ll also explore strategic techniques and Business Management planning to make informed decisions. This step-by-step Business Management course provides practical solutions to real-world challenges. Enrol in our Business Management Level 1 course today and take the next step toward achieving your professional and personal goals! Who is this course for? Level 1 Business Management This Level 1 Business Management course should be taken by everyone, including students, business owners or entrepreneurs. Requirements Business Management: Business Management To enrol in this Business Management Course, students must fulfil the following requirements. To join in our Business Management Course, you must have a strong command of the English language. To successfully complete our Business Management Course, you must be vivacious and self driven. To complete our Business Management: Business Process Management Course, you must have a basic understanding of computers. A minimum age limit of 15 is required to enrol in this Business Management: Business Process Management Course. Career path Level 1 Business Management A Level 1 Business Management degree is suggested for careers in corporate and strategic business domains.
Overview Education and training can significantly influence one's ability to flourish. This Focus Awards Level 4 Certificate in Education and Training (RQF) qualification will encourage you to think strategically and critically, allowing you to perform successfully.This 36-credit Level 4 Certificate in Education and Training (RQF) qualification is offered by Focus Awards. This honourable awarding organisation is regulated by Ofqual and assures competence and recognition of your qualifications.The remarkable course is crafted into mandatory and optional units so you can acknowledge the concepts better. It starts with the basic insights and proceeds towards advanced levels to encourage you to focus. It covers almost every aspect of education and training. You will discover ingenious ways to teach, learn, and assess alongside other professional practices. You'll become a useful employee capable of innovating, tackling challenges, and progressing on your own. So what are you waiting for? Roll up your sleeves and get yourself enrolled in this thriving certification! Benefits You Will Gain Top-notch e-learning materials Modules availability 24/7 An easy-to-use online learning platform Flexible learning hours Recognised qualification Exquisite customer service Qualification Focus Awards Level 4 Certificate in Education and Training (RQF) Description Learners must complete all mandatory units totalling 21 credits along with 15 credits from the remaining optional units to create a total credit value of 36.From this qualification, you will: Know the roles, responsibilities and relationships in education and training. Understand how to assess learners in education and training. Develop and prepare resources for learning and development. Meet the needs of learners. Qualification Purpose The Focus Awards Level 4 Certificate in Education and Training (RQF) qualification is designed to provide students with knowledge and understanding of delivering education and training, assessing learners, using resources, and understanding the roles and responsibilities in relevant fields. Who is this course for? Individuals interested in pursuing a career as an Education and Training Specialist, Teacher or other related fields. Requirements This qualification has no specific entry requirements. However, the learners must be at least 18 or above. Progression Upon successfully completing this qualification, learners may wish to continue their development by undertaking the following qualification. Level 5 Diploma in Education and Training (RQF) Total Qualifications Time Total Qualification Time is comprised of GLH and an estimate of the number of hours a learner is likely to spend in preparation, study or any other learning, including assessment, which takes place as directed by, but not under the supervision of a lecturer, supervisor or tutor. Total Qualification Time for this qualification is 360 hours.The credit for this qualification is 36. Guided Learning Hours These hours are made up of all contact time, guidance or supervision of a learner by a lecturer, supervisor, tutor, trainer or other appropriate providers of education or training. Guided Learning Hours for this qualification is 140. Method of Assessment The Focus Awards Level 4 Certificate in Education and Training (RQF) is internally assessed, and each student must construct a portfolio of evidence demonstrating the achievement of all learning outcomes and assessment criteria linked with each unit, like- Assessor observation - completed observational checklists on related action plans. Witness testimony Learner product Worksheets Assignments / projects / reports Record of oral and written questioning Learner and peer reports Recognition of prior learning (RPL) Career Path Education and Training Specialist Child and Youth Program Assistant Academic Advisor English Educator Teacher Professional Trainer Course Curriculum 42 sections • 187 lectures • 00:00:00 total length •Induction Form: 00:00:00 •Registration Entry Form: 00:00:00 •0 - Certificate Units - Information for Delivery: 00:00:00 •0 - Resource Information and Terms and Conditions of Use: 00:00:00 •At018c - Pre Course Assessment Certificate: 00:00:00 •At050c - Sample Action Plan for the Certificate in Education and Training: 00:00:00 •Pgu1c - Guidance for Evidencing Achievement - Understanding Roles , Responsibilities and Relationships: 00:00:00 •Sau1c - Self Assessment Grid - Understanding Roles, Responsibilities and Relationships: 00:00:00 •G9001C - Information leaflet - An introduction to the Certificate in Education and Training: 00:00:00 •G9002C - Information leaflet - Teaching Roles, Responsibilites, Relationships and Boundaries: 00:00:00 •G9003C - Information leaflet - Legislation, Regulatory Requirements, Codes of Practice: 00:00:00 •G9007C - Information leaflet - Promoting Equality and Valuing Diversity: 00:00:00 •G9008C - Information leaflet - Promoting Appropriate Behaviour and Respect: 00:00:00 •I0001A - PP - Learner Needs and Points of Referral: 00:00:00 •I9001C - Information leaflet - Learner Needs and Points of Referral: 00:00:00 •M9063a - Information Leaflet - Beginners Guide to Referencing: 00:00:00 •G0001C - PP - An Introduction to the Certificate in Education and Training: 00:00:00 •G0002A - PP - Teaching Roles, Responsibilities, Relationships and Boundaries: 00:00:00 •G0003A - PP - Legislation, Regulatory Requirements and Codes of Practice: 00:00:00 •G0007A - PP - Promoting Equality and Valuing Diversity: 00:00:00 •G0008A - PP - Promoting Appropriate Behaviour and Respect: 00:00:00 •H9001 - Handout - Identifying Inequality: 00:00:00 •H9002 - Handout - Learner Differences: 00:00:00 •H9003 - Handout - Ways to promote and advance equality: 00:00:00 •H9004 - Glossary of educational terms: 00:00:00 •H9005 - Educational abbreviations and acronyms: 00:00:00 •H9007 - Demonstrating good practice to promote inclusion: 00:00:00 •H9008 - Handout - Safeguarding Prevent British Values: 00:00:00 •H9010 - Handout - Table of examples of teaching roles and responsibilities: 00:00:00 •H9011a - Handout - Boundaries of Teaching: 00:00:00 •H9014C - Verbs used in the Certificate in Education and Training units: 00:00:00 •H9015 - Handout - the Teaching and Learning Cycle: 00:00:00 •H9020a - Handout - Table of Examples of Potential Needs and Points of Referral: 00:00:00 •H9051 - Handout - Tips for New Teachers and Trainers: 00:00:00 •HC004 - Checklist for Equality and Diversity: 00:00:00 •Hc012 - Checklist for Teaching: 00:00:00 •I9011- Handout - Equality and Diversity - Glossary of Terms: 00:00:00 •0 - Certificate Units - Information for Delivery: 00:00:00 •0 - Resource Information and Terms and Conditions of Use: 00:00:00 •Pgu2c - Guidance for Evidencing Achievement - Planning to Meet the Needs of Learners: 00:00:00 •Sau2c - Self Assessment Grid - Planning to Meet the Needs of Learners: 00:00:00 •Atmc01 - Checklist - Minimum Core Personal Skills: 00:00:00 •Hc012 - Checklist for Teaching: 00:00:00 •Hc014 - Checklist for Reviewing Own Practice - Planning: 00:00:00 •AT005 - Template - Reflective Learning Journal: 00:00:00 •At007 - Template - Session Plan Pro-forma: 00:00:00 •At013 - Template - Scheme of Work Rationale: 00:00:00 •At014 - Template - Scheme of Work: 00:00:00 •At022 - Template - Initial and Diagnostic Assessment: 00:00:00 •At023 - Template - Individual Learning Plan: 00:00:00 •At024 - Template - Group Profile: 00:00:00 •At025 - Template - Workshop Plan: 00:00:00 •C9007 - Information leaflet - Initial and Diagnostic Assessment: 00:00:00 •C9008 - Information leaflet - Devising a Scheme of Work: 00:00:00 •C9009 - Information Leaflet - Designing a Session Plan: 00:00:00 •C9010 - Information Leaflet - the Minimum Core Planning: 00:00:00 •C9011 - Information Leaflet - Reviewing Own Practice Planning: 00:00:00 •C0007 - Pp - Initial and Diagnostic Assessment: 00:00:00 •C0008 - Pp - Devising a Scheme of Work: 00:00:00 •C0009 - Pp - Designing a Session Plan: 00:00:00 •C0010 - PP - The Minimum Core Planning: 00:00:00 •C0011 - PP - Reviewing own Practice Planning: 00:00:00 •C9054 - Group Profile Completed Example: 00:00:00 •A9051a - Handout - Table of Assessment Methods, Approaches and Activities: 00:00:00 •A9058 - Handout - Table of Strengths and Limitations of Teaching and Learning Approaches: 00:00:00 •H9012 - Handout - Table of Resources: 00:00:00 •I9015A - Handout - Example Completed Reflective Learning Journal: 00:00:00 •M9060 - Handout - Example Completed Scheme of Work: 00:00:00 •M9061 - Handout - Completed Example Scheme of Work Rationale: 00:00:00 •M9062 - Handout - Example Completed Session Plan: 00:00:00 •M9064 - Handout - Five Minute Session Plan: 00:00:00 •M9065 - Handout - Example Three Stage Session Plan: 00:00:00 •U9053a - Handout - Table of Objectives at Different Levels: 00:00:00 •0 - Certificate Units - Information for Delivery: 00:00:00 •0 - Resource Information and Terms and Conditions of Use: 00:00:00 •Pgu3c - Guidance for Evidencing Achievement - Delivering Education and Training: 00:00:00 •Sau3c - Self Assessment Grid - Delivering Education and Training: 00:00:00 •Atmc01 - Checklist - Minimum Core Personal Skills: 00:00:00 •Hc003 - Checklist for Verbal, Listening, Non Verbal and Written Communication: 00:00:00 •Hc004 - Checklist for Equality and Diversity: 00:00:00 •Hc005 - Checklist for Demonstrating a Task: 00:00:00 •Hc012 - Checklist for Teaching: 00:00:00 •Hc013 - Observation Checklist - Certificate Units: 00:00:00 •Hc015 - Checklist for Reviewing Own Practice - Delivery: 00:00:00 •AT003 - Template - Personal Development Plan: 00:00:00 •AT005 - Template - Reflective Learning Journal: 00:00:00 •At009 - Template - Self Evaluation of a Delivered Session Pro-forma: 00:00:00 •At021 - Template - Teaching Practice Log: 00:00:00 •At026 - Template - Tutorial Review: 00:00:00 •C9006 - Information Leaflet - Reviewing Own Practice Delivering: 00:00:00 •C9012 - Information Leaflet - Observations and Teaching Practice: 00:00:00 •C9016 - Information Leaflet - Communication With Learners and Others: 00:00:00 •C9022 - Information Leaflet - the Minimum Core Delivering: 00:00:00 •C9023 - Information Leaflet - Teaching and Learning Approaches: 00:00:00 •C9024 - Information Leaflet - an Inclusive Teaching and Learning Environment: 00:00:00 •C9025 - Information Leaflet - Teaching and Learning Theories: 00:00:00 •C9026 - Information Leaflet - Using Technologies in Teaching and Learning: 00:00:00 •C0006 - Pp - Reviewing Own Practice Delivering: 00:00:00 •C0012 - Pp - Observations and Teaching Practice: 00:00:00 •C0016 - Pp - Communication With Learners and Others: 00:00:00 •C0022 - Pp - the Minimum Core Delivering Education and Training: 00:00:00 •C0023 - Pp - Teaching and Learning Approaches: 00:00:00 •C0024 - Pp - an Inclusive Teaching and Learning Environment: 00:00:00 •C0025- Pp - Teaching and Learning Theories: 00:00:00 •C0026 - Pp - Using Technologies in Teaching and Learning: 00:00:00 •A9058 - Handout - Table of Strengths and Limitations of Teaching and Learning Approaches: 00:00:00 •A9060 - Handout - Example Completed Personal Development Plan: 00:00:00 •H9006 - the Environment - Examples of Physical, Social and Learning Aspects: 00:00:00 •H9012 - Handout - Table of Resources: 00:00:00 •H9016 - Handout - Teaching Practice Log Information: 00:00:00 •H9019 - Handout - List of Technologies: 00:00:00 •H9021 - Handout - Advantages and Disadvantages of Using Technology: 00:00:00 •H9022 - Handout - Online Safety: 00:00:00 •H9025 - Examples of Verbal and Non Verbal Communication: 00:00:00 •H9026 - Handout Examples of CPD activities: 00:00:00 •H9027 - Handout Working with an LSA: 00:00:00 •H9031 - Handout Starter and closing activities: 00:00:00 •H9032 - Handout Reviewing Learner Progress: 00:00:00 •H9033 - Handout Individual and Group Tutorials: 00:00:00 •H9034 - Handout Facilitating Group Learning: 00:00:00 •H9035 - Handout Facilitating Individual Learning: 00:00:00 •H9036 - Handout Extension Activities: 00:00:00 •I9015a - Handout - Example Completed Reflective Learning Journal: 00:00:00 •M9057 - Handout - Example Completed Self Evaluation Form: 00:00:00 •0 - Certificate Units - Information for Delivery: 00:00:00 •0 - Resource Information and Terms and Conditions of Use: 00:00:00 •Pgu4c - Guidance for Evidencing Achievement - Assessing Learners in Education and Training: 00:00:00 •Sau4c - Self Assessment Grid - Assessing Learners in Education and Training: 00:00:00 •Atmc01 - Checklist - Minimum Core Personal Skills: 00:00:00 •Hc012 - Checklist for Teaching: 00:00:00 •Hc013 - Observation Checklist - Certificate Units: 00:00:00 •Hc016 - Checklist for Reviewing Own Practice - Assessment: 00:00:00 •AT001 - Templates - Assessment Records: 00:00:00 •AT005 - Template - Reflective Learning Journal: 00:00:00 •At021 - Template - Teaching Practice Log: 00:00:00 •C9012 - Information Leaflet - Observations and Teaching Practice: 00:00:00 •C9017 - Information Leaflet - the Minimum Core Assessing: 00:00:00 •C9018 - Information Leaflet - Reviewing Own Practice Assessment: 00:00:00 •C9019 - Information leaflet - Types of Assessment: 00:00:00 •C9020 - Information Leaflet - Assessment Methods: 00:00:00 •C9021 - Information Leaflet - Making Decisions Giving Feedback and Keeping Records: 00:00:00 •C0012 - Pp - Observations and Teaching Practice: 00:00:00 •C0017 - Pp - The Minimum Core Assessment: 00:00:00 •C0018 - Pp - Reviewing Own Practice Assessment: 00:00:00 •C0019 - Pp - Types of Assessment: 00:00:00 •C0020 - PP - Assessment Methods: 00:00:00 •C0021 - Pp - Making Assessment Decisions, Giving Feedback and Keeping Records: 00:00:00 •A9050 - Handout - Table of Assessment Types: 00:00:00 •A9051a - Handout - Table of Assessment Methods, Approaches and Activities: 00:00:00 •A9053 - Handout - Table of Assessment Requirements: 00:00:00 •A9057 - Handout - Assessor Roles and Responsibilities: 00:00:00 •A9059 - Handout - Completed Example of Assessment Records: 00:00:00 •G9052 - Handout - Table of Advantages and Limitations of Peer and Self Assessment: 00:00:00 •H9016 - Handout - Teaching Practice Log Information: 00:00:00 •H9050 - Handout - Table of Example Teaching Records: 00:00:00 •I9015a - Handout - Example Completed Reflective Learning Journal: 00:00:00 •0 - Certificate Units - Information for Delivery: 00:00:00 •0 - Resource Information and Terms and Conditions of Use: 00:00:00 •Pgu5c - Guidance for Evidencing Achievement - Using Resources for Education and Training: 00:00:00 •Sau5c - Self Assessment Grid - Using Resources for Education and Training: 00:00:00 •Atmc01 - Checklist - Minimum Core Personal Skills: 00:00:00 •Hc012 - Checklist for Teaching: 00:00:00 •Hc013 - Observation Checklist - Certificate Units: 00:00:00 •Hc017 - Checklist for Reviewing Own Practice - Resources: 00:00:00 •AT005 - Template - Reflective Learning Journal: 00:00:00 •At021 - Template - Teaching Practice Log: 00:00:00 •C9012 - Information Leaflet - Observations and Teaching Practice: 00:00:00 •C9013 - Information Leaflet - Using Resources: 00:00:00 •C9014 - Information Leaflet - the Minimum Core Resources: 00:00:00 •C9015 - Information Leaflet - Reviewing Own Practice Resources: 00:00:00 •C0012 - Pp - Observations and Teaching Practice: 00:00:00 •C0013 - PP - Using Resources: 00:00:00 •C0014 - PP - The Minimum Core Resources: 00:00:00 •C0015 - Pp - Reviewing Own Practice Resources: 00:00:00 •H9012 - Handout - Table of Resources: 00:00:00 •H9016 - Handout - Teaching Practice Log Information: 00:00:00 •H9018 - Handout - Hints and Tips for Creating and Using Handouts and Visual Presentations: 00:00:00 •H9023 - Handout - Resource Box: 00:00:00 •H9024 - Handout - Assistive Resources: 00:00:00 •I9015a - Handout - Example Completed Reflective Learning Journal: 00:00:00 •Policy and Regulatory Frameworks on Inclusive Practice: 00:00:00 •Maintaining Inclusive Learning Environment: 00:00:00 •Inclusive Practice Roles and Responsibilities: 00:00:00 •Factors-Influencing-Learning: 00:00:00 •Evaluating Own Inclusive Practice: 00:00:00 •Assignment: Optional Unit 34 - Inclusive Practice: 00:00:00 •Submit Your Assignments: 00:00:00
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