1543 Testing courses in Cardiff delivered On Demand

24-Hour Flash Sale! Prices Reduced Like Never Before!! Ensuring quality stands as the cornerstone of success for businesses, and that's the reason the demand for professionals skilled in Quality Assurance (QA) and Quality Management has seen a significant rise across the UK. With industries facing tighter regulations and higher consumer expectations, nearly 60% of UK businesses are now investing more in quality management systems. This Level 3 Diploma in Quality Assurance & Quality Management course is tailored to equip you with the expertise needed to meet the required standards. The curriculum is designed to offer a thorough understanding of the principles of Quality Assurance and Quality Management. Starting with the basics of QA, it progresses to more complex topics such as Material Management, Strategic Planning aligned with ISO 9001 standards, and the application of Quality Tools for Problem-solving. You'll get into Lean Process and Six Sigma, methodologies for Process Improvement, understand the essentials of Facilities Management, and navigate through Compliance, Business Risk Management, Commercial Law, and GDPR Data Protection. This blend of coursework prepares you to implement and oversee quality management systems effectively. This Certificate in Quality Assurance (QA) Manager at QLS Level 3 course is endorsed by The Quality Licence Scheme and accredited by CPDQS (with 120 CPD points) to make your skill development & career progression more accessible than ever! This Quality Assurance (QA) Manager bundle consists of 11 essential courses related to Quality Assurance (QA) Course 01: Quality Assurance (QA) Manager at QLS Level 3 Course 02: Quality Management Course 03: Material Management Course 04: Quality Management and Strategic Training - ISO 9001 Course 05: Quality Tools and Problem Solving Methods Course 06: Diploma in Lean Process and Six Sigma Course 07: Process Improvement: Reduce Waste Course 08: Facilities Management Level 3 Course 09: Compliance & Business Risk Management Course 10: Commercial Law Course 11: GDPR Data Protection Level 5 Stepping into the Quality Assurance and Quality Management field with this diploma under your belt not only boosts your career prospects but also places you at the forefront of industry standards and excellence. Whether you're aiming to enhance your current role or pivot to a career dedicated to upholding quality and compliance, this course provides the knowledge and skills necessary to make a significant impact. Join in on this journey to become a key player within your organisation or industry and showcase your skills! Learning Outcomes of Quality Assurance (QA) Manager at QLS Level 3 course: Master the principles of quality assurance and quality management. Apply ISO 9001 standards for quality management and strategic planning. Utilise quality tools and problem-solving methods effectively. Implement Lean Process and Six Sigma for process improvement. Oversee compliance and risk management within a business context. Understand GDPR data protection and its application in QA. This Quality Assurance (QA) Manager at QLS Level 3 training can help you to accomplish your ambitions and prepare you for a meaningful career. So, join us today and gear up for excellence! Why Prefer This Quality Assurance (QA) Manager at QLS Level 3 Course? Get a free QLS Endorsed and CPD Accredited Certificate upon completion of the course Get a Free Student ID Card with this training program The course is Affordable and Simple to understand Lifetime Access to the course materials The course comes with 24/7 Tutor Support Take a step toward a brighter future! Course Curriculum Course 01: Quality Assurance (QA) Manager at QLS Level 3 Module 01: Concept of Quality Module 02: Key Terms Module 03: Categories Module 04: Customer Input Module 05: Plan Quality Module 06: Design of Experiments Module 07: Quality Control Module 08: Control Charts Module 09: Sampling Module 10: Six Sigma Module 11: The Steps Module 12: The 6 Six Sigma Challenges Course 02: Quality Management Module 01: Introduction to Quality Management Module 02: Total Quality Management Module 03: Quality Measurement and Improvement Module 04: Quality Control Module 05: Understanding Customer Expectations and Needs Module 06: Six Sigma Module 07: Supply Chain Management Module 08: Quality Audits Course 03: Material Management Module 01: Introduction to Material Management Module 02: Purchasing and Supply Chain Management Module 03: Inventory Management Module 04: Planning and Control Module 05: Stores Management and Control Module 06: Forecasting Module 07: Material Requirements Planning Module 08: Materials Handling Assessment Process After completing an online module, you will be given immediate access to a specially designed MCQ test. The results will be immediately analysed, and the score will be shown for your review. The passing score for each test will be set at 60%. You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you have completed all of the Certificate in Quality Assurance (QA) Manager at QLS Level 3 exams. How will I get my Certificate? After successfully completing the course, you will be able to order your Certificates as proof of your achievement. PDF Certificate: Free (Previously it was £12.99*11 = £143) CPD Hard Copy Certificate: Free (For The First Course: Previously it was £29.99) QLS Endorsed Hard Copy Certificate: Free (For The Title Course: Previously it was £89) CPD 120 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this bundle. This bundle is ideal for: QA Professionals Career Changers Aspiring Managers Industry Enthusiasts Requirements You will not need any prior background or expertise to enrol in this bundle. Career path After completing this bundle, you are to start your career or begin the next phase of your career. Quality Assurance Manager - £35,000 to £60,000 Quality Management Specialist - £30,000 to £50,000 Lean Six Sigma Consultant - £40,000 to £70,000 Compliance Officer - £25,000 to £45,000 Facilities Manager - £28,000 to £55,000 Data Protection Officer - £30,000 to £60,000 . Certificates Certificate in Quality Assurance (QA) Manager at QLS Level 3 Hard copy certificate - Included Show off Your New Skills with a Certificate of Completion After successfully completing the Certificate in Quality Assurance (QA) Manager at QLS Level 3, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme, and also you can order CPDQS Accredited Certificate that is recognised all over the UK and also internationally. Please note that international students have to pay an additional £10 as a shipment fee. CPD Accredited Digital Certificate Digital certificate - Included Upon passing the Course, you need to order a Digital Certificate for each of the courses inside this bundle as proof of your new skills that are accredited by CPD QS for Free.

Register on the Basic to Advanced UX Design today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion. The Basic to Advanced UX Design course is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With This Course Receive a digital certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of- Video lessons Online study supplies Assignment Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post. Method of Assessment In order to ensure the Quality Licensing scheme endorsed and CPD acknowledged certificate, learners need to score at least 60% pass marks on the assessment process. After submitting assignments, our expert tutors will evaluate the assignments and give feedback based on the performance. After passing the assessment, one can apply for a certificate. Who is this course for? The course is ideal for those who already work in this sector or are aspiring professionals. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge.   Course Content Unit 01: UX/UI Course Introduction Learn UX/UI Course Overview 00:05:00 Section Overview 00:04:00 UX vs UI 00:04:00 UX/UI Designer Marketplace 00:05:00 Overview of UX Roles 00:06:00 Unit 02: Introduction to the Web Industry Web Industry Section Overview 00:03:00 The Phases of Web Development 00:13:00 Designer Responsibilities (working in a team) 00:09:00 Roles & Descriptions (working in a team) 00:05:00 Agile Approach To Project Management 00:12:00 Scrum - Flexible Framework 00:06:00 Project Management Apps 00:13:00 XD Lesson - Introduction 00:13:00 Unit 03: Foundations of Graphic Design Graphic Design Section Overview 00:02:00 The Psychology of Color 00:13:00 Color Wheel & Color Schemes 00:06:00 Working with Fonts 00:10:00 Working With Icons 00:04:00 XD Lesson - Tools, Object Manipulation and Components 00:13:00 XD Lesson - Font Styles and Artboard Settings 00:07:00 Graphic Design Software Tools 00:03:00 Adobe XD lesson 4 - Icons & Vector Graphics 00:14:00 Unit 04: UX Design (User Experience Design) UX Design Section Overview 00:04:00 What is User Experience Design? (UX) 00:09:00 UX Design Process 00:03:00 The UX Analysis Process 00:08:00 Working with User Profiles 00:03:00 Understanding User Pain Points 00:03:00 XD Lesson 5 Class Project: Сompetitive Analysis 00:10:00 Developing a Persona Part 1 00:05:00 Developing a Persona Part 2 00:05:00 Customer Journey 00:04:00 Customer Journey vs Sales Funnel 00:04:00 3 Phases of a Sales Funnel 00:07:00 4 Stages of a Sales Funnel 00:06:00 Macro/Micro Conversions 00:05:00 Stages of Market Sophistication 00:06:00 Lead Generation Funnel 00:06:00 Digital Product Sales Funnel 00:05:00 7 Principles of Influence 00:12:00 Age Based Influence Triggers 00:06:00 Gender Influence Triggers 00:06:00 Interest Based Marketing 00:04:00 Understanding User Flow 00:08:00 XD Lesson 6 Class Project: Userflow - Your first UX deliverable 00:07:00 Working with Story Boards 00:05:00 XD Lesson 7 Class Project: Crafting a Story board 00:09:00 Working with Moodboards 00:04:00 XD Lesson 8 Class Project: Creating Moodboard 00:11:00 Sitemap & Information Architecture 00:07:00 XD Lesson - Class Project: App Architecture 00:09:00 Low and Hi Fidelity Wireframes 00:03:00 XD Lesson - Class Project: Login Screen Wireframe Using Material Design 00:08:00 Working with Prototypes 00:04:00 XD Lesson - Class Project: Home Screen Wireframe and Linking 00:07:00 XD Lesson - Class Project: Adding Interaction to Wireframes 00:10:00 Testing and Evaluating 00:11:00 UX Deliverables 00:03:00 UX Design Conclusion 00:01:00 Unit 05: UI Design (User Interface Design) UI Design Section Overview 00:03:00 UI Design Overview 00:03:00 Types of Interfaces 00:10:00 Landing Pages Overview 00:10:00 XD Lesson - Using Grids in XD 00:08:00 XD Lesson - Single Card design 00:13:00 UI Controls 00:07:00 UI Navigational Components 00:12:00 Header Design Overview 00:07:00 XD Lesson - Mobile & Desktop: Header Design 00:10:00 XD Lesson - Mobile & Desktop: Dropdown Design 00:06:00 Common Layouts Overview 00:08:00 XD Lesson - Common Layouts 00:07:00 Mobile & Desktop Footer Design Overview 00:07:00 XD Lesson - Mobile & Desktop: Footer Design 00:06:00 Mobile & Desktop Button Design Overview 00:05:00 XD Lesson - Mobile & Desktop: Button Design 00:10:00 XD Lesson - Mobile & Desktop: Input Design 00:07:00 Mobile & Desktop Filter Search Bar Design Overview 00:06:00 Adobe XD Lesson - Mobile & Desktop: Filter Design 00:07:00 Adobe XD Lesson - Mobile & Desktop: Search Design 00:03:00 UI Kit Overview 00:05:00 Adobe XD Lesson - Desktop and Mobile: UI Kit 00:06:00 Microinteractions Overview 00:05:00 Adobe XD lesson - Microinteractions 00:07:00 Unit 06: Optimization Optimization Section Overview 00:02:00 Feedback Review & Getting Referrals 00:04:00 'Above the Fold' Rule 00:04:00 Adobe XD lesson - Designing a Powerful Above the Fold 00:08:00 Using Analytics For Optimization 00:05:00 Heat Maps & Element Placements 00:04:00 Crafting A Usability Report Overview 00:08:00 Adobe XD lesson - Crafting Reports in XD 00:20:00 Unit 07: Starting a Career in UX/UI Design Careers in UX/UI Section Overview 00:06:00 Your Daily Productivity Hub 00:14:00 How To Start Freelancing 00:08:00 Client Consulting 00:04:00 Building a Brand 00:10:00 Personal Branding 00:07:00 The Importance of Having a Website 00:08:00 Creating a Logo 00:05:00 Step by Step Website Setup 00:17:00 UI Templates 00:06:00 Logo Templates 00:04:00 Creating a Business Email 00:06:00 Networking Do's and Don'ts 00:04:00 Top Freelance Websites 00:05:00 UX/UI Project Scope Questions 00:10:00 Laser Focus & Productivity Tools 00:06:00 The Places to Find UX Jobs 00:05:00

Overview Mastering data science skills and expertise can open new doors of opportunities for you in a wide range of fields. Learn the fundamentals and develop a solid grasp of Python data science with the comprehensive Data Science with Python course. This course is designed to assist you in securing a valuable skill set and boosting your career. This course will provide you with quality training on the fundamentals of data analysis with Python. From the step-by-step learning process, you will learn the techniques of setting up the system. Then the course will teach you Python data structure and functions. You will receive detailed lessons on NumPy, Matplotlib, and Pandas. Furthermore, you will develop the skills for Algorithm Evaluation Techniques, visualising datasets and much more. After completing the course you will receive a certificate of achievement. This certificate will help you create an impressive resume. So join today! How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? This course Data Science with Python course is ideal for beginners in data science. It will help them develop a solid grasp of Python and help them pursue their dream career in the field of data science. Requirements The students will not require any formal qualifications or previous experience to enrol in this course. Anyone can learn from the course anytime from anywhere through smart devices like laptops, tabs, PC, and smartphones with stable internet connections. They can complete the course according to their preferable pace so, there is no need to rush. Career Path This course will equip you with valuable knowledge and effective skills in this area. After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst And much more! Course Curriculum 90 sections • 90 lectures • 10:19:00 total length •Course Overview & Table of Contents: 00:09:00 •Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types: 00:05:00 •Introduction to Machine Learning - Part 2 - Classifications and Applications: 00:06:00 •System and Environment preparation - Part 1: 00:04:00 •System and Environment preparation - Part 2: 00:06:00 •Learn Basics of python - Assignment 1: 00:10:00 •Learn Basics of python - Assignment 2: 00:09:00 •Learn Basics of python - Functions: 00:04:00 •Learn Basics of python - Data Structures: 00:12:00 •Learn Basics of NumPy - NumPy Array: 00:06:00 •Learn Basics of NumPy - NumPy Data: 00:08:00 •Learn Basics of NumPy - NumPy Arithmetic: 00:04:00 •Learn Basics of Matplotlib: 00:07:00 •Learn Basics of Pandas - Part 1: 00:06:00 •Learn Basics of Pandas - Part 2: 00:07:00 •Understanding the CSV data file: 00:09:00 •Load and Read CSV data file using Python Standard Library: 00:09:00 •Load and Read CSV data file using NumPy: 00:04:00 •Load and Read CSV data file using Pandas: 00:05:00 •Dataset Summary - Peek, Dimensions and Data Types: 00:09:00 •Dataset Summary - Class Distribution and Data Summary: 00:09:00 •Dataset Summary - Explaining Correlation: 00:11:00 •Dataset Summary - Explaining Skewness - Gaussian and Normal Curve: 00:07:00 •Dataset Visualization - Using Histograms: 00:07:00 •Dataset Visualization - Using Density Plots: 00:06:00 •Dataset Visualization - Box and Whisker Plots: 00:05:00 •Multivariate Dataset Visualization - Correlation Plots: 00:08:00 •Multivariate Dataset Visualization - Scatter Plots: 00:05:00 •Data Preparation (Pre-Processing) - Introduction: 00:09:00 •Data Preparation - Re-scaling Data - Part 1: 00:09:00 •Data Preparation - Re-scaling Data - Part 2: 00:09:00 •Data Preparation - Standardizing Data - Part 1: 00:07:00 •Data Preparation - Standardizing Data - Part 2: 00:04:00 •Data Preparation - Normalizing Data: 00:08:00 •Data Preparation - Binarizing Data: 00:06:00 •Feature Selection - Introduction: 00:07:00 •Feature Selection - Uni-variate Part 1 - Chi-Squared Test: 00:09:00 •Feature Selection - Uni-variate Part 2 - Chi-Squared Test: 00:10:00 •Feature Selection - Recursive Feature Elimination: 00:11:00 •Feature Selection - Principal Component Analysis (PCA): 00:09:00 •Feature Selection - Feature Importance: 00:06:00 •Refresher Session - The Mechanism of Re-sampling, Training and Testing: 00:12:00 •Algorithm Evaluation Techniques - Introduction: 00:07:00 •Algorithm Evaluation Techniques - Train and Test Set: 00:11:00 •Algorithm Evaluation Techniques - K-Fold Cross Validation: 00:09:00 •Algorithm Evaluation Techniques - Leave One Out Cross Validation: 00:05:00 •Algorithm Evaluation Techniques - Repeated Random Test-Train Splits: 00:07:00 •Algorithm Evaluation Metrics - Introduction: 00:09:00 •Algorithm Evaluation Metrics - Classification Accuracy: 00:08:00 •Algorithm Evaluation Metrics - Log Loss: 00:03:00 •Algorithm Evaluation Metrics - Area Under ROC Curve: 00:06:00 •Algorithm Evaluation Metrics - Confusion Matrix: 00:10:00 •Algorithm Evaluation Metrics - Classification Report: 00:04:00 •Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction: 00:06:00 •Algorithm Evaluation Metrics - Mean Absolute Error: 00:07:00 •Algorithm Evaluation Metrics - Mean Square Error: 00:03:00 •Algorithm Evaluation Metrics - R Squared: 00:04:00 •Classification Algorithm Spot Check - Logistic Regression: 00:12:00 •Classification Algorithm Spot Check - Linear Discriminant Analysis: 00:04:00 •Classification Algorithm Spot Check - K-Nearest Neighbors: 00:05:00 •Classification Algorithm Spot Check - Naive Bayes: 00:04:00 •Classification Algorithm Spot Check - CART: 00:04:00 •Classification Algorithm Spot Check - Support Vector Machines: 00:05:00 •Regression Algorithm Spot Check - Linear Regression: 00:08:00 •Regression Algorithm Spot Check - Ridge Regression: 00:03:00 •Regression Algorithm Spot Check - Lasso Linear Regression: 00:03:00 •Regression Algorithm Spot Check - Elastic Net Regression: 00:02:00 •Regression Algorithm Spot Check - K-Nearest Neighbors: 00:06:00 •Regression Algorithm Spot Check - CART: 00:04:00 •Regression Algorithm Spot Check - Support Vector Machines (SVM): 00:04:00 •Compare Algorithms - Part 1 : Choosing the best Machine Learning Model: 00:09:00 •Compare Algorithms - Part 2 : Choosing the best Machine Learning Model: 00:05:00 •Pipelines : Data Preparation and Data Modelling: 00:11:00 •Pipelines : Feature Selection and Data Modelling: 00:10:00 •Performance Improvement: Ensembles - Voting: 00:07:00 •Performance Improvement: Ensembles - Bagging: 00:08:00 •Performance Improvement: Ensembles - Boosting: 00:05:00 •Performance Improvement: Parameter Tuning using Grid Search: 00:08:00 •Performance Improvement: Parameter Tuning using Random Search: 00:06:00 •Export, Save and Load Machine Learning Models : Pickle: 00:10:00 •Export, Save and Load Machine Learning Models : Joblib: 00:06:00 •Finalizing a Model - Introduction and Steps: 00:07:00 •Finalizing a Classification Model - The Pima Indian Diabetes Dataset: 00:07:00 •Quick Session: Imbalanced Data Set - Issue Overview and Steps: 00:09:00 •Iris Dataset : Finalizing Multi-Class Dataset: 00:09:00 •Finalizing a Regression Model - The Boston Housing Price Dataset: 00:08:00 •Real-time Predictions: Using the Pima Indian Diabetes Classification Model: 00:07:00 •Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset: 00:03:00 •Real-time Predictions: Using the Boston Housing Regression Model: 00:08:00 •Resources - Data Science & Machine Learning with Python: 00:00:00

Overview This Child Psychologist Training Course will unlock your full potential and will show you how to excel in a career in Child Psychologist Training Course. So upskill now and reach your full potential. Everything you need to get started in Child Psychologist Training Course is available in this course. Learning and progressing are the hallmarks of personal development. This Child Psychologist Training Course will quickly teach you the must-have skills needed to start in the relevant industry. In This Child Psychologist Training Course, You Will: Learn strategies to boost your workplace efficiency. Hone your Child Psychologist Training Course skills to help you advance your career. Acquire a comprehensive understanding of various Child Psychologist Training Course topics and tips from industry experts. Learn in-demand Child Psychologist Training Course skills that are in high demand among UK employers, which will help you to kickstart your career. This Child Psychologist Training Course covers everything you must know to stand against the tough competition in the Child Psychologist Training Course field.  The future is truly yours to seize with this Child Psychologist Training Course. Enrol today and complete the course to achieve a Child Psychologist Training Course certificate that can change your professional career forever. Additional Perks of Buying a Course From Institute of Mental Health Study online - whenever and wherever you want. One-to-one support from a dedicated tutor throughout your course. Certificate immediately upon course completion 100% Money back guarantee Exclusive discounts on your next course purchase from Institute of Mental Health Enrolling in the Child Psychologist Training Course can assist you in getting into your desired career quicker than you ever imagined. So without further ado, start now. Process of Evaluation After studying the Child Psychologist Training Course, your skills and knowledge will be tested with a MCQ exam or assignment. You must get a score of 60% to pass the test and get your certificate.  Certificate of Achievement Upon successfully completing the Child Psychologist Training Course, you will get your CPD accredited digital certificate immediately. And you can also claim the hardcopy certificate completely free of charge. All you have to do is pay a shipping charge of just £3.99. Who Is This Course for? This Child Psychologist Training Course is suitable for anyone aspiring to start a career in Child Psychologist Training Course; even if you are new to this and have no prior knowledge on Child Psychologist Training Course, this course is going to be very easy for you to understand.  And if you are already working in the Child Psychologist Training Course field, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level.  Taking this Child Psychologist Training Course is a win-win for you in all aspects.  This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements This Child Psychologist Training Course has no prerequisite.  You don't need any educational qualification or experience to enrol in the Child Psychologist Training Course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online Child Psychologist Training Course. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. Course Curriculum Babies from Birth to One Year About the Course and your Tutor FREE 00:02:00 The Importance of Bonding 00:08:00 The Social and Emotional development: from birth to 1 yr 00:06:00 The Innate Reflexes of Newborn Babies 00:07:00 The Benefits of Testing at 'Milestones' 00:07:00 Stages and Sequences of Social and Emotional Development The Importance of Social and Emotional Development 00:06:00 The Ages and Stages that Children go through 00:12:00 The Main theories in Developmental Psychology 00:07:00 The Importance of Positive Role Models 00:08:00 The Barriers to Achieving the 'Milestones' 00:07:00 The Importance of Unconditional Love 00:06:00 Language and Linguistic Skills Development Forms of communication 00:05:00 What is 'Pre-linguistic' form of communication 00:05:00 The Active and the Passive Communication 00:06:00 The Importance of Opportunities in Development of the Skills 00:05:00 The Importance of Body Language 00:06:00 Cognitive Development The Importance of Cognitive Development 00:04:00 The Main Psychological Theories in Cognitive Development 00:07:00 The Appropriate Opportunities for Cognitive Development 00:04:00 The Unconscious Mind: Id, Ego and Superego. Psychoanalytical Theory 00:06:00 Thank You and Good Bye! 00:02:00 Resources Resources - Child Psychologist Training Course 00:00:00

a masterclass designed to explore and master the Scrambling Technique, a powerful Neuro-Linguistic Programming (NLP) method that helps individuals disrupt negative emotional and behavioral patterns. This engaging session will equip you with the tools and insights to transform how you and your clients respond to challenging situations, ultimately fostering emotional resilience and well-being.

Register on the SQL NoSQL Big Data and Hadoop today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion. The SQL NoSQL Big Data and Hadoop is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The SQL NoSQL Big Data and Hadoop Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the SQL NoSQL Big Data and Hadoop, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Section 01: Introduction Introduction 00:07:00 Building a Data-driven Organization - Introduction 00:04:00 Data Engineering 00:06:00 Learning Environment & Course Material 00:04:00 Movielens Dataset 00:03:00 Section 02: Relational Database Systems Introduction to Relational Databases 00:09:00 SQL 00:05:00 Movielens Relational Model 00:15:00 Movielens Relational Model: Normalization vs Denormalization 00:16:00 MySQL 00:05:00 Movielens in MySQL: Database import 00:06:00 OLTP in RDBMS: CRUD Applications 00:17:00 Indexes 00:16:00 Data Warehousing 00:15:00 Analytical Processing 00:17:00 Transaction Logs 00:06:00 Relational Databases - Wrap Up 00:03:00 Section 03: Database Classification Distributed Databases 00:07:00 CAP Theorem 00:10:00 BASE 00:07:00 Other Classifications 00:07:00 Section 04: Key-Value Store Introduction to KV Stores 00:02:00 Redis 00:04:00 Install Redis 00:07:00 Time Complexity of Algorithm 00:05:00 Data Structures in Redis : Key & String 00:20:00 Data Structures in Redis II : Hash & List 00:18:00 Data structures in Redis III : Set & Sorted Set 00:21:00 Data structures in Redis IV : Geo & HyperLogLog 00:11:00 Data structures in Redis V : Pubsub & Transaction 00:08:00 Modelling Movielens in Redis 00:11:00 Redis Example in Application 00:29:00 KV Stores: Wrap Up 00:02:00 Section 05: Document-Oriented Databases Introduction to Document-Oriented Databases 00:05:00 MongoDB 00:04:00 MongoDB Installation 00:02:00 Movielens in MongoDB 00:13:00 Movielens in MongoDB: Normalization vs Denormalization 00:11:00 Movielens in MongoDB: Implementation 00:10:00 CRUD Operations in MongoDB 00:13:00 Indexes 00:16:00 MongoDB Aggregation Query - MapReduce function 00:09:00 MongoDB Aggregation Query - Aggregation Framework 00:16:00 Demo: MySQL vs MongoDB. Modeling with Spark 00:02:00 Document Stores: Wrap Up 00:03:00 Section 06: Search Engines Introduction to Search Engine Stores 00:05:00 Elasticsearch 00:09:00 Basic Terms Concepts and Description 00:13:00 Movielens in Elastisearch 00:12:00 CRUD in Elasticsearch 00:15:00 Search Queries in Elasticsearch 00:23:00 Aggregation Queries in Elasticsearch 00:23:00 The Elastic Stack (ELK) 00:12:00 Use case: UFO Sighting in ElasticSearch 00:29:00 Search Engines: Wrap Up 00:04:00 Section 07: Wide Column Store Introduction to Columnar databases 00:06:00 HBase 00:07:00 HBase Architecture 00:09:00 HBase Installation 00:09:00 Apache Zookeeper 00:06:00 Movielens Data in HBase 00:17:00 Performing CRUD in HBase 00:24:00 SQL on HBase - Apache Phoenix 00:14:00 SQL on HBase - Apache Phoenix - Movielens 00:10:00 Demo : GeoLife GPS Trajectories 00:02:00 Wide Column Store: Wrap Up 00:04:00 Section 08: Time Series Databases Introduction to Time Series 00:09:00 InfluxDB 00:03:00 InfluxDB Installation 00:07:00 InfluxDB Data Model 00:07:00 Data manipulation in InfluxDB 00:17:00 TICK Stack I 00:12:00 TICK Stack II 00:23:00 Time Series Databases: Wrap Up 00:04:00 Section 09: Graph Databases Introduction to Graph Databases 00:05:00 Modelling in Graph 00:14:00 Modelling Movielens as a Graph 00:10:00 Neo4J 00:04:00 Neo4J installation 00:08:00 Cypher 00:12:00 Cypher II 00:19:00 Movielens in Neo4J: Data Import 00:17:00 Movielens in Neo4J: Spring Application 00:12:00 Data Analysis in Graph Databases 00:05:00 Examples of Graph Algorithms in Neo4J 00:18:00 Graph Databases: Wrap Up 00:07:00 Section 10: Hadoop Platform Introduction to Big Data With Apache Hadoop 00:06:00 Big Data Storage in Hadoop (HDFS) 00:16:00 Big Data Processing : YARN 00:11:00 Installation 00:13:00 Data Processing in Hadoop (MapReduce) 00:14:00 Examples in MapReduce 00:25:00 Data Processing in Hadoop (Pig) 00:12:00 Examples in Pig 00:21:00 Data Processing in Hadoop (Spark) 00:23:00 Examples in Spark 00:23:00 Data Analytics with Apache Spark 00:09:00 Data Compression 00:06:00 Data serialization and storage formats 00:20:00 Hadoop: Wrap Up 00:07:00 Section 11: Big Data SQL Engines Introduction Big Data SQL Engines 00:03:00 Apache Hive 00:10:00 Apache Hive : Demonstration 00:20:00 MPP SQL-on-Hadoop: Introduction 00:03:00 Impala 00:06:00 Impala : Demonstration 00:18:00 PrestoDB 00:13:00 PrestoDB : Demonstration 00:14:00 SQL-on-Hadoop: Wrap Up 00:02:00 Section 12: Distributed Commit Log Data Architectures 00:05:00 Introduction to Distributed Commit Logs 00:07:00 Apache Kafka 00:03:00 Confluent Platform Installation 00:10:00 Data Modeling in Kafka I 00:13:00 Data Modeling in Kafka II 00:15:00 Data Generation for Testing 00:09:00 Use case: Toll fee Collection 00:04:00 Stream processing 00:11:00 Stream Processing II with Stream + Connect APIs 00:19:00 Example: Kafka Streams 00:15:00 KSQL : Streaming Processing in SQL 00:04:00 KSQL: Example 00:14:00 Demonstration: NYC Taxi and Fares 00:01:00 Streaming: Wrap Up 00:02:00 Section 13: Summary Database Polyglot 00:04:00 Extending your knowledge 00:08:00 Data Visualization 00:11:00 Building a Data-driven Organization - Conclusion 00:07:00 Conclusion 00:03:00 Resources Resources - SQL NoSQL Big Data And Hadoop 00:00:00

This comprehensive course is designed to transform individuals into skilled chefs, equipping them not only with culinary expertise but also management proficiency in the kitchen and restaurant settings. Covering a wide range of topics from fundamental cooking skills and recipe creation to kitchen management, food business basics, and restaurant management, participants will gain a holistic understanding of the culinary world. The course also includes a bonus of 20 diverse recipes to enhance practical cooking skills. Learning Outcomes: Master essential cooking and food preparation skills. Develop a deep understanding of kitchen equipment and tools. Learn about different cooking styles and cuisines. Understand the qualities and traits of successful chefs. Gain proficiency in outdoor cooking, baking, and vegetarian cooking. Acquire knowledge in managing restaurant operations effectively. Learn marketing strategies and quality control in the food business. Enhance culinary creativity through a variety of recipes. Why buy this Professional Chef Training, Cooking, Kitchen & Restaurant Management with 20 Bonus Recipes?  Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Professional Chef Training, Cooking, Kitchen & Restaurant Management with 20 Bonus Recipes you will be able to take the MCQ test that will assess your knowledge. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Professional Chef Training, Cooking, Kitchen & Restaurant Management with 20 Bonus Recipes course is ideal for Aspiring chefs looking to establish a strong culinary foundation. Individuals interested in pursuing a career in restaurant management. Cooks and food enthusiasts aiming to refine their skills. Culinary professionals seeking to expand their expertise. Prerequisites This Professional Chef Training, Cooking, Kitchen & Restaurant Management with 20 Bonus Recipes 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. Career path Line Cook - Average Salary: £18,000 - £24,000 per year. Sous Chef - Average Salary: £25,000 - £35,000 per year. Head Chef - Average Salary: £30,000 - £45,000 per year. Executive Chef - Average Salary: £40,000 - £60,000 per year. Restaurant Manager - Average Salary: £25,000 - £40,000 per year. Course Curriculum Becoming a Chef Can TV Chefs Teach You To Cook? 00:30:00 Improving Cooking And Food Preparation Skills 00:15:00 Catering To Unique Tastes 00:30:00 Qualities Of A Successful Chef 00:30:00 Achieve Perfection As A Saucier 00:30:00 Becoming The Perfect Chef 01:00:00 Equipment For Perfect Chefs 00:30:00 How To Become The Perfect Chef: Attending School 00:30:00 The Keys To Getting and Using Feedback 00:30:00 What Can You Do With A Culinary Degree 01:00:00 Knife Skills For The Perfect Chef 00:30:00 Making Meals Easy to Eat Healthy 00:30:00 Plating for the At Home Chef 00:30:00 Perfect Chefs Choose A Speciality 00:30:00 Finding Local Cooking Classes 00:30:00 How Can You Become a Professional Chef 00:30:00 The Physical Qualities of the Perfect Chef 00:15:00 The Importance of Testing Recipes 00:15:00 The Chefs Important Baking Tools 01:00:00 The Learning Curve To Becoming The Perfect Chef 00:15:00 The Job of a Professional Chef 00:30:00 The Mix of Sweet, Spicy and Savory 00:30:00 The Perfect At Home Chef 00:30:00 The Perfect Chef Opens A Restaurant 00:15:00 The Physical Demand of Being a Chef 00:15:00 Kitchen Management Buying Kitchen Equipment: Tips And Tricks To Save Money 01:00:00 The Well Equipped Kitchen 00:15:00 Take Inventory 01:00:00 Be Wary Of The Latest Trends 01:00:00 Inexpensive Vs. Cheap 00:15:00 Needing Vs. Wanting 01:00:00 Comparison Shopping 01:00:00 How To Find The Best Deals 01:00:00 Secrets Of Outdoor Cooking Recipes 01:00:00 Once A Month Cooking Recipes 00:15:00 Mother's Day Cooking Made Easy 01:00:00 Mardi Gras Cooking Cajun Style 00:30:00 Learn To Cook Italian Food On Vacation 01:00:00 Cooking With A Dutch Oven 01:00:00 Recipes Of Italian Vegetarian Cooking 01:00:00 Home Cooking Network: An Array Of Recipes 00:30:00 America's Home Cooking: The Television Program 01:00:00 A Wonderful Experience With Outdoor Cooking Burners 00:30:00 Cooking For Sunday Dinner 01:00:00 Healthy Cooking Oils 01:00:00 Cooking Cajun Food 01:00:00 Paula's Home Cooking Recipes 00:30:00 The Importance Of Eating A Healthful Vegetarian Diet 01:00:00 Italian Food On A Date 00:30:00 The History Of Pasta In Italian Food 01:00:00 Review Of Different Vegetarian Cooking Shows 00:30:00 Italian Cooking Brochutto 01:00:00 Cooking Christmas Cookies 01:00:00 Back To Beginning For President's Day Cooking 00:30:00 Microwave Bacon Cooking Equipment 00:30:00 Cheap Italian Food In Milan 01:00:00 Chinese Cooking Wok 01:00:00 7 Useful Cooking Tips And Hints 01:00:00 Down Home Cooking 00:30:00 Italian Cooking School 00:30:00 Cooking Games 00:30:00 Italian Cooking Recipes 00:30:00 French Cooking Holidays 00:30:00 Managing Restaurant Food Business Basics 01:00:00 Put Together Your Business Concept 00:30:00 Identify your Target Market 00:30:00 Identify Your Competition 00:30:00 Write A Mission Statement 00:30:00 Downline Basics 00:30:00 Equipment And Supplies 00:30:00 Marketing And Quality Control 00:30:00 Wrapping Up 00:15:00 Recipes Recipe - I 01:00:00 Recipe - II 01:00:00 Recipe - III 01:00:00 Recipe - IV 01:00:00 Recipe - V 01:00:00 Recipe - VI 00:10:00 Recipe - VII 00:10:00 Recipe - VIII 00:12:00 Recipe - IX 00:10:00 Recipe - X 00:15:00 Recipe - XI 00:30:00 Recipe - XII 00:30:00 Recipe - XIII 00:15:00 Recipe - XIV 00:30:00 Recipe - XV 00:30:00 Recipe - XVI 00:10:00 Recipe -XVII 00:15:00 Recipe -XVIII 00:15:00 Recipe -XIX 00:13:00 Recipe -XX 00:10:00 Recommended Reading Recommended Reading: Professional Cooking, Kitchen and Restaurant Management 00:00:00 Mock Exam Mock Exam- Professional Cooking, Kitchen and Restaurant Management 00:20:00 Final Exam Final Exam- Professional Cooking, Kitchen and Restaurant Management 00:20:00

jQuery is a very powerful framework used by all the big companies like Microsoft, Apple, Google etc. It is cross-platform.

Course Overview Find the ultimate guide for learning Django framework by taking this Django REST Framework - Full Stack Python APIs using Python course. In this course, you will learn the techniques to build Python Rest APIs using the Django framework. This Django REST Framework - Full Stack Python APIs using Python course breaks tools and techniques to enhance your understanding of the Django framework and its features. The project-based course provides step-by-step instructions on how to create a Rest API from scratch. You will start the course by learning how to set up a Django development environment and proceed towards the fundamental steps in creating a Rest API project. You will gain the knowledge to develop Rest APIs using function-based views and class-based views. You will also learn the best practices to secure your Rest APIs. Learning Outcomes Gain in-depth knowledge Rest API Learn hope to configure the Rest API Identify the importance of Django Framework Deepen your understanding of mixins and generic views Know how to create Rest APIs using function based views Learn how to create viewset Be able to create Rest APIs with class based views Who Is This Course For? The Django REST Framework - Full Stack Python APIs using Python course is incredibly beneficial for professionals interested in learning how to create Python Rest APIs in Django Framework.  Entry Requirement This course is available to all learners of all academic backgrounds. Learners should be aged 16 or over. Good understanding of English language, numeracy and ICT skills are required to take this course. Certification After you have successfully completed the course, you will obtain an Accredited Certificate of Achievement. And, you will also receive a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy for £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why Choose Us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos and materials from the industry-leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; United Kingdom & internationally recognized accredited qualification; Access to course content on mobile, tablet and desktop from anywhere, anytime; Substantial career advancement opportunities; 24/7 student support via email. Career Path Django REST Framework - Full Stack Python APIs using Python provides essential skills that will make you more effective in your role. It would be beneficial for any related profession in the industry, such as Full Stack- Lead Software Developer Python/Django Developer Backend Developer Software Engineer-Python Unit 01: Start Here Module 01: Course and Instructor Introduction 00:03:00 Module 02: How to make the best of this course 00:02:00 Unit 02: Introduction Module 01: What is REST? 00:06:00 Module 02: Why REST 00:08:00 Module 03: What and Why DJango REST Framework 00:06:00 Unit 03: Software Setup Module 01: Install DJango 00:03:00 Module 02: Install DJango REST Framework 00:01:00 Module 03: Install MySql and MySql workbench 00:03:00 Module 04: Launch MySql workbench 00:02:00 Module 05: Install python mysqlclient 00:01:00 Module 06: Install ATOM 00:03:00 Module 07: Install Postman 00:01:00 Unit 04: REST in Action Module 01: Create the Project 00:03:00 Module 02: Create a view 00:02:00 Module 03: Configure the URL and TEST 00:03:00 Module 04: Create app level urls 00:02:00 Module 05: Create a model class 00:03:00 Module 06: Configure the database and run migrations 00:03:00 Module 07: Use the model in the view and test 00:03:00 Unit 05: Function Based Views and Serializers Module 01: DRF Components 00:06:00 Module 02: Function Based Views 00:05:00 Module 03: Serializers 00:04:00 Module 04: Create the Project 00:02:00 Module 05: Create the Model 00:02:00 Module 06: Create the Serializer 00:02:00 Module 07: GET single student 00:04:00 Module 08: Create Student 00:04:00 Module 09: Implement Non Primary Key Based Operations 00:07:00 Module 10: Use @api_view 00:01:00 Module 11: Configure the URLs 00:02:00 Module 12: Test 00:07:00 Module 13: Test Using Postman 00:04:00 Unit 06: Class Based Views Module 01: Introduction 00:03:00 Module 02: Create the Project 00:03:00 Module 03: Implement Non Primary Key Based Operations 00:06:00 Module 04: Implement Primary Key Based Operations 00:07:00 Module 05: Configure the URLs and TEST 00:04:00 Unit 07: Mixins Module 01: Introduction 00:05:00 Module 02: Non Primary Key based operations 00:04:00 Module 03: Primary Key based operations 00:02:00 Module 04: Configure the URLs and TEST 00:02:00 Unit 08: Generic Views Module 01: Generics 00:03:00 Module 02: Generics in action 00:03:00 Unit 09: ViewSets Module 01: Introduction 00:03:00 Module 02: Create ViewSet 00:02:00 Module 03: Configure URLs and Test 00:04:00 Unit 10: Nested Serializers Module 01: Create the project 00:02:00 Module 02: Create model 00:03:00 Module 03: Create Serializers 00:04:00 Module 04: Create REST endpoints 00:03:00 Module 05: Configure URLs 00:02:00 Module 06: Test 00:03:00 Unit 11: Pagination Module 01: Introduction 00:06:00 Module 02: Pagination in action 00:05:00 Module 03: Pagination at class level 00:03:00 Module 04: Using LimitOffsetPagination 00:01:00 Unit 12: Security Module 01: Introduction 00:04:00 Module 02: Authentication in action 00:03:00 Module 03: Authorization in action 00:06:00 Module 04: Global Security 00:04:00 Unit 13: Flight Reservation API Module 01: Usecase 00:01:00 Module 02: Create the Project 00:01:00 Module 03: Create Model Classes 00:03:00 Module 04: Create Reservation Model 00:01:00 Module 05: Create Serializers 00:01:00 Module 06: Create ViewSets 00:02:00 Module 07: Configure the Router 00:02:00 Module 08: Run Migrations 00:01:00 Module 09: Initial round of testing 00:04:00 Module 10: Implement findFlights endpoint 00:03:00 Module 11: Test findFlights 00:05:00 Module 12: Implement Save Reservation 00:06:00 Module 13: Test Save Reservation 00:04:00 Unit 14: Validations Module 01: In-Built Validations 00:04:00 Module 02: Allowing Blank and Null Values 00:02:00 Module 03: Create Custom Validator 00:05:00 Module 04: Two more ways 00:07:00 Unit 15: Token Auth Module 01: Introduction 00:03:00 Module 02: Configure Token Auth 00:05:00 Module 03: Create Users and Token 00:04:00 Module 04: Token Auth in action 00:03:00 Module 05: Automate Token Creation 00:09:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Description Register on the Deep Learning & Neural Networks Python - Keras today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a certificate as proof of your course completion. The Deep Learning & Neural Networks Python - Keras course is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablets, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With This Course Receive a digital certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment You need to attend an assessment right after the completion of this course to evaluate your progression. For passing the assessment, you need to score at least 60%. After submitting your assessment, you will get feedback from our experts immediately. Who Is This Course For The course is ideal for those who already work in this sector or are aspiring professionals. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge.   Course Content Course Introduction And Table Of Contents Course Introduction and Table of Contents 00:11:00 Deep Learning Overview Deep Learning Overview - Theory Session - Part 1 00:06:00 Deep Learning Overview - Theory Session - Part 2 00:07:00 Choosing Between ML Or DL For The Next AI Project - Quick Theory Session Choosing Between ML or DL for the next AI project - Quick Theory Session 00:09:00 Preparing Your Computer Preparing Your Computer - Part 1 00:07:00 Preparing Your Computer - Part 2 00:06:00 Python Basics Python Basics - Assignment 00:09:00 Python Basics - Flow Control 00:09:00 Python Basics - Functions 00:04:00 Python Basics - Data Structures 00:12:00 Theano Library Installation And Sample Program To Test Theano Library Installation and Sample Program to Test 00:11:00 TensorFlow Library Installation And Sample Program To Test TensorFlow library Installation and Sample Program to Test 00:09:00 Keras Installation And Switching Theano And TensorFlow Backends Keras Installation and Switching Theano and TensorFlow Backends 00:10:00 Explaining Multi-Layer Perceptron Concepts Explaining Multi-Layer Perceptron Concepts 00:03:00 Explaining Neural Networks Steps And Terminology Explaining Neural Networks Steps and Terminology 00:10:00 First Neural Network With Keras - Understanding Pima Indian Diabetes Dataset First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset 00:07:00 Explaining Training And Evaluation Concepts Explaining Training and Evaluation Concepts 00:11:00 Pima Indian Model - Steps Explained Pima Indian Model - Steps Explained - Part 1 00:09:00 Pima Indian Model - Steps Explained - Part 2 00:07:00 Coding The Pima Indian Model Coding the Pima Indian Model - Part 1 00:11:00 Coding the Pima Indian Model - Part 2 00:09:00 Pima Indian Model - Performance Evaluation Pima Indian Model - Performance Evaluation - Automatic Verification 00:06:00 Pima Indian Model - Performance Evaluation - Manual Verification 00:08:00 Pima Indian Model - Performance Evaluation - K-Fold Validation - Keras Pima Indian Model - Performance Evaluation - k-fold Validation - Keras 00:10:00 Pima Indian Model - Performance Evaluation - Hyper Parameters Pima Indian Model - Performance Evaluation - Hyper Parameters 00:12:00 Understanding Iris Flower Multi-Class Dataset Understanding Iris Flower Multi-Class Dataset 00:08:00 Developing The Iris Flower Multi-Class Model Developing the Iris Flower Multi-Class Model - Part 1 00:09:00 Developing the Iris Flower Multi-Class Model - Part 2 00:06:00 Developing the Iris Flower Multi-Class Model - Part 3 00:09:00 Understanding The Sonar Returns Dataset Understanding the Sonar Returns Dataset 00:07:00 Developing The Sonar Returns Model Developing the Sonar Returns Model 00:10:00 Sonar Performance Improvement - Data Preparation - Standardization Sonar Performance Improvement - Data Preparation - Standardization 00:15:00 Sonar Performance Improvement - Data Preparation - Standardization Sonar Performance Improvement - Layer Tuning for Smaller Network 00:07:00 Sonar Performance Improvement - Layer Tuning For Larger Network Sonar Performance Improvement - Layer Tuning for Larger Network 00:06:00 Understanding The Boston Housing Regression Dataset Understanding the Boston Housing Regression Dataset 00:07:00 Developing The Boston Housing Baseline Model Developing the Boston Housing Baseline Model 00:08:00 Boston Performance Improvement By Standardization Boston Performance Improvement by Standardization 00:07:00 Boston Performance Improvement By Deeper Network Tuning Boston Performance Improvement by Deeper Network Tuning 00:05:00 Boston Performance Improvement By Wider Network Tuning Boston Performance Improvement by Wider Network Tuning 00:04:00 Save & Load The Trained Model As JSON File (Pima Indian Dataset) Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 1 00:09:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 2 00:08:00 Save And Load Model As YAML File - Pima Indian Dataset Save and Load Model as YAML File - Pima Indian Dataset 00:05:00 Load And Predict Using The Pima Indian Diabetes Model Load and Predict using the Pima Indian Diabetes Model 00:09:00 Load And Predict Using The Iris Flower Multi-Class Model Load and Predict using the Iris Flower Multi-Class Model 00:08:00 Load And Predict Using The Sonar Returns Model Load and Predict using the Sonar Returns Model 00:10:00 Load And Predict Using The Boston Housing Regression Model Load and Predict using the Boston Housing Regression Model 00:08:00 An Introduction To Checkpointing An Introduction to Checkpointing 00:06:00 Checkpoint Neural Network Model Improvements Checkpoint Neural Network Model Improvements 00:10:00 Checkpoint Neural Network Best Model Checkpoint Neural Network Best Model 00:04:00 Loading The Saved Checkpoint Loading the Saved Checkpoint 00:05:00 Plotting Model Behavior History Plotting Model Behavior History - Introduction 00:06:00 Plotting Model Behavior History - Coding 00:08:00 Dropout Regularization - Visible Layer Dropout Regularization - Visible Layer - Part 1 00:11:00 Dropout Regularization - Visible Layer - Part 2 00:06:00 Dropout Regularization - Hidden Layer Dropout Regularization - Hidden Layer 00:06:00 Learning Rate Schedule Using Ionosphere Dataset - Intro Learning Rate Schedule using Ionosphere Dataset 00:06:00 Time Based Learning Rate Schedule Time Based Learning Rate Schedule - Part 1 00:07:00 Time Based Learning Rate Schedule - Part 2 00:12:00 Drop Based Learning Rate Schedule Drop Based Learning Rate Schedule - Part 1 00:07:00 Drop Based Learning Rate Schedule - Part 2 00:08:00 Convolutional Neural Networks - Introduction Convolutional Neural Networks - Part 1 00:11:00 Convolutional Neural Networks - Part 2 00:06:00 MNIST Handwritten Digit Recognition Dataset Introduction to MNIST Handwritten Digit Recognition Dataset 00:06:00 Downloading and Testing MNIST Handwritten Digit Recognition Dataset 00:10:00 MNIST Handwritten Digit Recognition Dataset MNIST Multi-Layer Perceptron Model Development - Part 1 00:11:00 MNIST Multi-Layer Perceptron Model Development - Part 2 00:06:00 Convolutional Neural Network Model Using MNIST Convolutional Neural Network Model using MNIST - Part 1 00:13:00 Convolutional Neural Network Model using MNIST - Part 2 00:12:00 Large CNN Using MNIST Large CNN using MNIST 00:09:00 Load And Predict Using The MNIST CNN Model Load and Predict using the MNIST CNN Model 00:14:00 Introduction To Image Augmentation Using Keras Introduction to Image Augmentation using Keras 00:11:00 Augmentation Using Sample Wise Standardization Augmentation using Sample Wise Standardization 00:10:00 Augmentation Using Feature Wise Standardization & ZCA Whitening Augmentation using Feature Wise Standardization & ZCA Whitening 00:04:00 Augmentation Using Rotation And Flipping Augmentation using Rotation and Flipping 00:04:00 Saving Augmentation Saving Augmentation 00:05:00 CIFAR-10 Object Recognition Dataset - Understanding And Loading CIFAR-10 Object Recognition Dataset - Understanding and Loading 00:12:00 Simple CNN Using CIFAR-10 Dataset Simple CNN using CIFAR-10 Dataset - Part 1 00:09:00 Simple CNN using CIFAR-10 Dataset - Part 2 00:06:00 Simple CNN using CIFAR-10 Dataset - Part 3 00:08:00 Train And Save CIFAR-10 Model Train and Save CIFAR-10 Model 00:08:00 Load And Predict Using CIFAR-10 CNN Model Load and Predict using CIFAR-10 CNN Model 00:16:00 RECOMENDED READINGS Recomended Readings 00:00:00