1267 Courses

Voiceover Artist Training Course Overview: The "Voiceover Artist Training" course is designed to introduce aspiring voiceover professionals to the industry. This comprehensive course covers the essential skills and techniques necessary for success in voice acting, from understanding the basics to building a career. Learners will gain a deep insight into how the voice works, methods to improve vocal performance, and how to create a professional demo. The course provides a structured approach to learning, enabling students to develop the skills required to confidently navigate auditions, recordings, and studio environments. With a strong focus on industry-specific knowledge and personal branding, learners will be well-equipped to start their voiceover careers. Course Description: This course delves into the core elements of voiceover work, including voice technique, vocal exercises, and how to find and refine your unique voice. Learners will explore how to plan and produce a professional voiceover demo, essential audition strategies, and the importance of self-promotion. The course also covers the technical aspects of voiceover, such as recording and studio etiquette, along with insights into the UK voice acting industry. By the end of the course, learners will possess the foundational knowledge to enter the competitive world of voiceover acting, equipped with practical skills that enhance both their performances and career prospects. Voiceover Artist Training Curriculum: Module 01: Introduction to Voiceover Module 02: Voiceover Basics Module 03: Finding Your Voice Module 04: Using Your Instrument Module 05: Exercising Your Voice Module 06: Useful Tips Module 07: Plan Your Demo Module 08: The Audition Module 09: Record Your Voice Module 10: The Studio Module 11: Promoting Your Voice Module 12: UK Voice Acting Industry (See full curriculum) Who is this course for? Individuals seeking to enter the voiceover industry. Professionals aiming to expand their skill set in voice acting. Beginners with an interest in voiceover and acting. Those interested in a career in audio production or media. Career Path: Voiceover Artist Narrator for audiobooks and e-learning Commercial Voiceover Talent Character Voice Actor for animations or video games Radio and TV voice talent Voice Coach or Instructor Audio Producer

This comprehensive course is designed to take you on a journey of mastering React, the popular JavaScript library for building dynamic user interfaces, and combining it with the power of .NET API for seamless back-end integration. This course will provide you with a solid foundation and hands-on experience in building full-stack applications.

Learn to use circular needles and the magic loop technique - make a baby hat while you learn new skills to add to your knitting skills

Refund Policy About this event 1 hour 30 minutes Mobile eTicket Full Moon Candle Lit Sound Journey & Gong Bath. FRIDAY 4th of August 7.30pm - 9.00pm Come and join us for a deeply meditative and immersive sound journey and gong bath experience with Robin Freeman. These sessions provide a safe space where you can come to relax, unwind, and just let go… An opportunity for self-healing, and for restoration of mind, body, and soul. Every session is a unique experience, and each week we work with different themes, directions, and intentions. As this particular session falls within the magical full moon phase, we will be focusing upon this. The full moon is a perfect opportunity to let go of anything that no longer serves us. It is a time for release. Together we can let go of any unwanted burdens that we are carrying, to make way for exciting new opportunities and experiences to emerge. ABOUT MY SOUND JOURNEY & GONG BATH SESSIONS. I work with a wide variety of healing instruments and tools that have been very carefully selected from many different countries around the world. When combined, these can directly and positively affect mood, brain waves, the nervous system, and body chemistry, with fantastic and profound results. The sounds and vibrations that are created in these sessions stimulate the body to recreate its own harmonic frequency and help produce the alpha waves that are present within our brains whilst in a state of deep relaxation. All you need to do is come along, lay down, and relax, as I guide you along a deeply meditative journey. These sessions can help with issues such as stress, anxiety, sleep disorders, depression, digestion, chakra realignment and energy flow. They also create a perfect opportunity to set new intentions or release any burdens that you no longer wish to carry. The average Human being consists of approximately 60 – 70% water. Water serves to conduct sound waves. During a sound journey these sound waves and vibrations create ripples that gently reverberate over and over. These circulate around and through-out the entire body to calm, relax and soothe. As a result of this it is common for the heart rate to slow down, the blood pressure to drop, and the breath to become calm, peaceful, and return to its natural rhythm. Once the session ends, it is common for attendees to feel very relaxed and then enjoy a lovely deep sleep that night, followed by a feeling of refreshment once you awaken the next day. During these sessions I use several very special gongs. These have been carefully chosen and induce a holistic resonance in the body and a spontaneous meditative state in the mind, resulting in a sense of expanded awareness and wholeness. This is both restorative and healing. It is just what our body, mind and soul needs to restore, refresh and revitalise. VENUE. Namrata Yoga Studio (Inside the large Bad Hand Coffee building), 7 Norwich Road, Bournemouth , BH2 5QZ. (Google maps). Come along and enjoy a warm welcome within our beautifully warm, cosy, candle lit venue, and treat yourself to some well-deserved 'you time'. ADVANCED BOOKING IS ESSENTIAL. IMPORTANT DETAILS. *** Please arrive by 7.25pm (just 5 minutes before we are due to begin). This is when we open our doors to welcome everyone in. Please try to avoid arriving excessively early as you will have to wait outside until the doors open. This is because we will be busy preparing the venue for the session and are unable to let anyone inside until we are ready. Once we start our session at 7.30pm the door must be closed and locked to prevent any disturbances. We are unable to let people enter after the session has begun. This is only fair to everyone already inside. Thank-you for understanding. *** WHAT TO BRING. Comfy clothing, a pillow or something nice and comfy to rest your head upon, and some water to drink. You are also welcomed to bring anything else with you so that you are as comfortable as possible during our session. We provide yoga mats, blankets, and weighted eye masks for everyone attending. Please feel free to bring an extra yoga mat or blanket to lay on top of if you would like some extra comfort (we do supply yoga mats, but you are welcome to bring your own along too if you like). It is important that you are as comfortable as possible during this session, so please do feel free to bring whatever you need. Anyone who is unable to lay at floor level is welcome to bring a folding recliner chair or similar. ADVISORY INFORMATION & DISCLAIMER. - Gong baths are not advised for pregnant women during the first trimester. - It is not advised to attend if you have ever had a stroke. - It is not advised to attend if you have any psychological or psychiatric conditions. - It is not advised to attend if you have ever had brain injuries or brain surgery. - It is not advised to attend if you suffer from severe osteoporosis. - Please do not attend if you are under the influence of any recreational or psychoactive drugs or alcohol. - We will be laying on yoga mats placed on the floor, so if you want any extra comfort, please do feel free to bring your own yoga mat or anything else to double up with (or anything else that is soft that you would like to lay upon). - If you are unable to lay upon a yoga mat at floor level, you are welcome to bring a reclining camping chair or similar. - It is advised to bring a pillow or comfortable cushion to rest your head upon, a blanket, and some water to drink. Bring whatever you need for maximum comfort during the session. - It is advised to wear comfortable clothing. - If in any doubt about attending these sessions, please consult your doctor or health care professional in advance.. - We do not accept any legal responsibility for any personal injury or other loss arising from the attendance of this session and the use of sound healing, Gongs, vocal or any other form of instrument being used by ourselves. If you have reason to believe that these objects and the sounds that they make may cause any discomfort, pain, or injury, please do not attend. By attending this session you agree to have understood the information provided to you. By attending this session you hereby release the listed business (Sacred Sound Healing and Robin Freeman) from any and all liability, negligence, or any other claims arising from or in any way connected with your participation. REFUNDS & CANCELLATIONS. We are unable to offer a refund for your booking or transfer it to an alternative date unless you contact us via email at least 48hrs prior to the event date. Email: info@sacredsoundhealing.co.uk If you are unable to attend, you are welcome to pass your booking on to someone else. Please ask this person to notify us that this has happened when they arrive.

Learn the power of coding with this Master JavaScript with Data Visualization course. With JavaScript being the focus, this program offers comprehensive insights into the heart of web development. The course begins with the basics, setting up your local development environment, and quickly moves on to exploring JavaScript fundamentals like strings, operators, and control flow statements, preparing you for a deep dive into the world of coding.   Unlock your potential as we guide you through JavaScript's crucial aspects, including functions, error handling, and client-side validations. Each module is designed by industry experts, ensuring your understanding aligns with real-world scenarios. The course offers practical examples, and quizzes, fostering a rich learning environment that stimulates engagement and helps to master the topics.   But what sets this course apart is its emphasis on Data Visualization using Google Chart. The integration of JavaScript with Data Visualization introduces you to new and innovative methods to present data in a more interactive and user-friendly format. By the end of the course, you should be proficient in JavaScript and able to design and implement complex data visualisations. Sign up today for a learning journey combining tech knowledge with creative visualisation skills! Learning Outcomes: After completing the JavaScript with Data Visualization course, you should be able to:   Develop a comprehensive understanding of JavaScript fundamentals. Acquire the ability to write and manipulate JavaScript strings and operators. Gain mastery over JavaScript control flow and conditional statements. Learn to implement robust JavaScript functions for diverse applications. Understand JavaScript error handling and client-side validations. Learn to visualise data using Google Chart tools effectively. Gain the ability to create interactive, data-driven web applications. Who is this course for: This JavaScript with Data Visualization course is ideal for:   Aspiring web developers seeking to learn JavaScript. Data analysts interested in expanding their skillset. Web designers aiming to enhance their interactivity skills. Software engineers looking to broaden their coding repertoire. Any tech enthusiast wanting to harness the power of Data Visualization. Certification After studying the course materials of the JavaScript with Data Visualization course, there will be a written assignment test which you can take either during or at the end of the course. After passing the test, you will have a range of certification options. A CPD Accredited PDF Certificate costs £4.99, while a CPD Accredited Hardcopy Certificate is £8.00. Also, a PDF Transcript costs £4.99, and a Hardcopy Transcript is £9.99. Select according to your needs, and we assure timely delivery of your chosen certificate. Requirements This professionally designed JavaScript with Data Visualization course does not require you to have any prior qualifications or experience. It is open to everyone, and you can access the course from anywhere at any time. Just enrol and start learning! Career Path: Upon completion of this JavaScript with Data Visualization course, you can gain the knowledge and skills required to pursue many career paths, such as:   JavaScript Developer: £35,000 - £55,000 Per year. Front-end Developer: £40,000 - £60,000 Per year. Full-Stack Developer: £45,000 - £70,000 Per year. Data Visualization Engineer: £45,000 - £65,000 Per year. Web Application Developer: £40,000 - £60,000 Per year. Software Engineer: £50,000 - £80,000 Per year. Course Curriculum Introduction Getting Started Introduction to Getting Started 00:02:00 Course Curriculum 00:05:00 How to Get Pre-Requisites 00:02:00 Getting Started on Windows, Linux or Mac 00:01:00 How to ask a Great Questions 00:02:00 FAQ's 00:01:00 Setting up Local Development Environment What is JavaScript 00:09:00 Choosing Code Editor 00:03:00 Installing Code Editor (Sublime Text) 00:04:00 Installing Code Editor(Visual Studio Code) 00:07:00 Hello World Program 00:14:00 Getting Output 00:11:00 Summary 00:02:00 JavaScript Fundamentals Introduction 00:02:00 Internal JavaScript 00:13:00 External JavaScript 00:09:00 Inline JavaScript 00:04:00 Async and defer 00:06:00 Variables 00:13:00 Data Types 00:10:00 Numbers 00:06:00 Boolean 00:04:00 Arrays() 00:12:00 Objects 00:06:00 Comments 00:05:00 Summary 00:01:00 JavaScript Strings Introduction 00:02:00 Strings 00:06:00 String Formatting 00:05:00 String Methods 00:12:00 Summary 00:02:00 JavaScript Operators Introduction 00:02:00 Arithmetic operators 00:07:00 Assignment operators 00:03:00 Comparison operators 00:06:00 Logical operators 00:08:00 Summary 00:02:00 JavaScript Conditional Statements Introduction 00:02:00 If-else-if statement 00:04:00 If-else statement 00:05:00 If-else-if statement 00:04:00 Switch-case statement 00:09:00 Summary 00:01:00 JavaScript Control Flow Statements Introduction 00:02:00 While loop 00:09:00 Do-while loop 00:03:00 For loop 00:08:00 Break 00:02:00 Continue 00:03:00 Coding Exercise 00:02:00 Solution for Coding Exercise 00:02:00 Summary 00:02:00 JavaScript Functions Introduction 00:02:00 Creating a Function 00:07:00 Function Call() 00:07:00 Function with parameters 00:05:00 Function Bind() 00:06:00 Summary 00:01:00 Data Visualization (Google Chart) Introduction 00:01:00 How to Use Google chart script 00:04:00 Line Graph chart 00:14:00 Scatter plots chart 00:02:00 Bar chart 00:04:00 3D Pie chart 00:02:00 3D Pie chart 00:02:00 Summary 00:01:00 JavaScript Error Handling Introduction 00:01:00 Try-catch 00:05:00 Try-catch-finally 00:17:00 Summary 00:01:00 JavaScript Client-side Validations Introduction 00:01:00 On Submit Validation 00:09:00 Input Numeric Validation 00:12:00 Login Form Validation 00:05:00 Password Strength Check Validation 00:04:00 Summary 00:01:00

Duration 2 Days 12 CPD hours This course is intended for Audience: Data Scientists, Software Developers, IT Architects, and Technical Managers. Participants should have the general knowledge of statistics and programming Also familiar with Python Overview ? NumPy, pandas, Matplotlib, scikit-learn ? Python REPLs ? Jupyter Notebooks ? Data analytics life-cycle phases ? Data repairing and normalizing ? Data aggregation and grouping ? Data visualization ? Data science algorithms for supervised and unsupervised machine learning Covers theoretical and technical aspects of using Python in Applied Data Science projects and Data Logistics use cases. Python for Data Science ? Using Modules ? Listing Methods in a Module ? Creating Your Own Modules ? List Comprehension ? Dictionary Comprehension ? String Comprehension ? Python 2 vs Python 3 ? Sets (Python 3+) ? Python Idioms ? Python Data Science ?Ecosystem? ? NumPy ? NumPy Arrays ? NumPy Idioms ? pandas ? Data Wrangling with pandas' DataFrame ? SciPy ? Scikit-learn ? SciPy or scikit-learn? ? Matplotlib ? Python vs R ? Python on Apache Spark ? Python Dev Tools and REPLs ? Anaconda ? IPython ? Visual Studio Code ? Jupyter ? Jupyter Basic Commands ? Summary Applied Data Science ? What is Data Science? ? Data Science Ecosystem ? Data Mining vs. Data Science ? Business Analytics vs. Data Science ? Data Science, Machine Learning, AI? ? Who is a Data Scientist? ? Data Science Skill Sets Venn Diagram ? Data Scientists at Work ? Examples of Data Science Projects ? An Example of a Data Product ? Applied Data Science at Google ? Data Science Gotchas ? Summary Data Analytics Life-cycle Phases ? Big Data Analytics Pipeline ? Data Discovery Phase ? Data Harvesting Phase ? Data Priming Phase ? Data Logistics and Data Governance ? Exploratory Data Analysis ? Model Planning Phase ? Model Building Phase ? Communicating the Results ? Production Roll-out ? Summary Repairing and Normalizing Data ? Repairing and Normalizing Data ? Dealing with the Missing Data ? Sample Data Set ? Getting Info on Null Data ? Dropping a Column ? Interpolating Missing Data in pandas ? Replacing the Missing Values with the Mean Value ? Scaling (Normalizing) the Data ? Data Preprocessing with scikit-learn ? Scaling with the scale() Function ? The MinMaxScaler Object ? Summary Descriptive Statistics Computing Features in Python ? Descriptive Statistics ? Non-uniformity of a Probability Distribution ? Using NumPy for Calculating Descriptive Statistics Measures ? Finding Min and Max in NumPy ? Using pandas for Calculating Descriptive Statistics Measures ? Correlation ? Regression and Correlation ? Covariance ? Getting Pairwise Correlation and Covariance Measures ? Finding Min and Max in pandas DataFrame ? Summary Data Aggregation and Grouping ? Data Aggregation and Grouping ? Sample Data Set ? The pandas.core.groupby.SeriesGroupBy Object ? Grouping by Two or More Columns ? Emulating the SQL's WHERE Clause ? The Pivot Tables ? Cross-Tabulation ? Summary Data Visualization with matplotlib ? Data Visualization ? What is matplotlib? ? Getting Started with matplotlib ? The Plotting Window ? The Figure Options ? The matplotlib.pyplot.plot() Function ? The matplotlib.pyplot.bar() Function ? The matplotlib.pyplot.pie () Function ? Subplots ? Using the matplotlib.gridspec.GridSpec Object ? The matplotlib.pyplot.subplot() Function ? Hands-on Exercise ? Figures ? Saving Figures to File ? Visualization with pandas ? Working with matplotlib in Jupyter Notebooks ? Summary Data Science and ML Algorithms in scikit-learn ? Data Science, Machine Learning, AI? ? Types of Machine Learning ? Terminology: Features and Observations ? Continuous and Categorical Features (Variables) ? Terminology: Axis ? The scikit-learn Package ? scikit-learn Estimators ? Models, Estimators, and Predictors ? Common Distance Metrics ? The Euclidean Metric ? The LIBSVM format ? Scaling of the Features ? The Curse of Dimensionality ? Supervised vs Unsupervised Machine Learning ? Supervised Machine Learning Algorithms ? Unsupervised Machine Learning Algorithms ? Choose the Right Algorithm ? Life-cycles of Machine Learning Development ? Data Split for Training and Test Data Sets ? Data Splitting in scikit-learn ? Hands-on Exercise ? Classification Examples ? Classifying with k-Nearest Neighbors (SL) ? k-Nearest Neighbors Algorithm ? k-Nearest Neighbors Algorithm ? The Error Rate ? Hands-on Exercise ? Dimensionality Reduction ? The Advantages of Dimensionality Reduction ? Principal component analysis (PCA) ? Hands-on Exercise ? Data Blending ? Decision Trees (SL) ? Decision Tree Terminology ? Decision Tree Classification in Context of Information Theory ? Information Entropy Defined ? The Shannon Entropy Formula ? The Simplified Decision Tree Algorithm ? Using Decision Trees ? Random Forests ? SVM ? Naive Bayes Classifier (SL) ? Naive Bayesian Probabilistic Model in a Nutshell ? Bayes Formula ? Classification of Documents with Naive Bayes ? Unsupervised Learning Type: Clustering ? Clustering Examples ? k-Means Clustering (UL) ? k-Means Clustering in a Nutshell ? k-Means Characteristics ? Regression Analysis ? Simple Linear Regression Model ? Linear vs Non-Linear Regression ? Linear Regression Illustration ? Major Underlying Assumptions for Regression Analysis ? Least-Squares Method (LSM) ? Locally Weighted Linear Regression ? Regression Models in Excel ? Multiple Regression Analysis ? Logistic Regression ? Regression vs Classification ? Time-Series Analysis ? Decomposing Time-Series ? Summary Lab Exercises Lab 1 - Learning the Lab Environment Lab 2 - Using Jupyter Notebook Lab 3 - Repairing and Normalizing Data Lab 4 - Computing Descriptive Statistics Lab 5 - Data Grouping and Aggregation Lab 6 - Data Visualization with matplotlib Lab 7 - Data Splitting Lab 8 - k-Nearest Neighbors Algorithm Lab 9 - The k-means Algorithm Lab 10 - The Random Forest Algorithm

Join the crafty fun at Stitching Kitchen for a machine Applique workshop, we will use a range of fabrics and embellishments to create a textured picture using a house as inspiration.

In this course, we will understand the absolute basic concepts of programming. Learn essential C# scripting for game development by building 20+ mini projects. We will also build 2D games with Unity and C#, and master C# by building these games with Unity.

Experience the Rhythm of Reggaeton! Get ready to heat up your week with our dynamic Reggaeton classes, part of our exciting weekly dance program. Whether you're joining online or in-person, we've got the perfect vibe for you.

Overview This comprehensive course on NodeJS made easy for MEAN or MERN Stack Level 4 will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This NodeJS made easy for MEAN or MERN Stack Level 4 comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. 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? There is no experience or previous qualifications required for enrolment on this NodeJS made easy for MEAN or MERN Stack Level 4. It is available to all students, of all academic backgrounds. Requirements Our NodeJS made easy for MEAN or MERN Stack Level 4 is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 14 sections • 116 lectures • 06:46:00 total length •Module 01: Course and Instructor Introduction: 00:03:00 •Module 02: GITHub URL: 00:01:00 •Module 01: What is Node?: 00:05:00 •Module 02: Why Node?: 00:04:00 •Module 03: NodeJS package manager NPM: 00:02:00 •Module 04: Install Node and Visual Studio Code: 00:02:00 •Module 01: Create a simple node application: 00:04:00 •Module 02: Adding Dependencies: 00:04:00 •Module 03: OS Module: 00:05:00 •Module 04: Write a file sync and async: 00:07:00 •Module 05: Use Arrow Functions: 00:02:00 •Module 06: Append and Rename: 00:03:00 •Module 07: Read and Delete: 00:04:00 •Module 08: HTTP module in action: 00:03:00 •Module 09: Return JSON Response: 00:04:00 •Module 10: Use nodemon: 00:02:00 •Module 11: Scripts block: 00:04:00 •Module 01: Introduction 04: 00:04:00 •Module 02: What is REST?: 00:06:00 •Module 03: Create an Express App: 00:02:00 •Module 04: Express In Action: 00:05:00 •Module 05: Handle other HTTP Methods: 00:06:00 •Module 06: Use Router: 00:05:00 •Module 07: Create Customer Endpoint: 00:05:00 •Module 01: Introduction 05: 00:02:00 •Module 02: Mongo Command Line: 00:07:00 •Module 03: Steps: 00:03:00 •Module 04: Use Mongo Client: 00:04:00 •Module 05: Implement Find All: 00:04:00 •Module 06: GET single product: 00:04:00 •Module 07: What is body-parser?: 00:03:00 •Module 08: Configure body-parser: 00:02:00 •Module 09: Create Product: 00:04:00 •Module 10: Update Product: 00:06:00 •Module 11: Delete Product: 00:02:00 •Module 01: Introduction 06: 00:04:00 •Module 02: Steps: 00:01:00 •Module 03: Create Project: 00:06:00 •Module 04: Create Server JS: 00:02:00 •Module 05: Create and Configure Product Controller: 00:02:00 •Module 06: Create Mongoose Schema and Model: 00:02:00 •Module 07: Create: 00:04:00 •Module 08: Test and Flow: 00:03:00 •Module 09: Read: 00:03:00 •Module 10: Update: 00:04:00 •Module 11: Delete: 00:02:00 •Module 01: Introduction 07: 00:01:00 •Module 02: Steps 7: 00:01:00 •Module 03: Create the Project 7: 00:02:00 •Module 04: Get All: 00:02:00 •Module 05: Create and Update: 00:04:00 •Module 06: Get and Delete: 00:03:00 •Module 01: Mocha and Chai: 00:03:00 •Module 02: Steps 8: 00:02:00 •Module 03: Install Dependencies: 00:01:00 •Module 04: First Test: 00:06:00 •Module 05: Handle Failures: 00:02:00 •Module 06: Test Create and Get: 00:02:00 •Module 07: Before and after methods: 00:03:00 •Module 01: Introduction 09: 00:03:00 •Module 02: Steps 09: 00:03:00 •Module 03: Create DB Connection: 00:04:00 •Module 04: Mongoose Static Methods: 00:03:00 •Module 05: Create the Model and DAO: 00:07:00 •Module 06: Create the Controller: 00:08:00 •Module 07: Map Routes: 00:05:00 •Module 08: Test: 00:02:00 •Module 09: Use src folder: 00:02:00 •Module 10: Use Babel and ES6 Syntax: 00:06:00 •Module 01: Usecase: 00:01:00 •Module 02: Create the Project: 00:03:00 •Module 03: Setup Configuration: 00:04:00 •Module 04: Create Model: 00:05:00 •Module 05: Implement Patient DAO: 00:03:00 •Module 06: Create Patient Controller: 00:04:00 •Module 07: Create and Configure Routes: 00:03:00 •Module 08: Create Clinical DAO and Controller: 00:07:00 •Module 09: Run and Test: 00:06:00 •Module 10: Fix Bug and Test: 00:02:00 •Module 01: Introduction 11: 00:02:00 •Module 02: Install Docker Desktop: 00:01:00 •Module 03: Steps: 00:03:00 •Module 04: Create Dockerfile: 00:07:00 •Module 05: Create docker-compose.yml: 00:05:00 •Module 06: docker compose up: 00:05:00 •Module 01: Introduction 12: 00:01:00 •Module 02: AWS EC2 Introduction: 00:03:00 •Module 03: Launch an EC2 Instance: 00:05:00 •Module 04: Windows - Use MobaXterm and connect: 00:04:00 •Module 05: Install Mongo: 00:04:00 •Module 06: Install Node and Git: 00:02:00 •Module 07: Push Project to Github: 00:04:00 •Module 08: Run the APP on EC2 and Test: 00:04:00 •Module 01: Introduction 13: 00:01:00 •Module 02: Install React CLI: 00:01:00 •Module 03: Create Project: 00:06:00 •Module 04: Create Components: 00:03:00 •Module 05: Configure Routing: 00:04:00 •Module 06: Home Component: 00:03:00 •Module 07: Use State and React Hook: 00:04:00 •Module 08: Render Rows: 00:03:00 •Module 09: Enable CORS on the Node Project: 00:04:00 •Module 10: Test Home Page: 00:03:00 •Module 11: Add Patient - Create Form: 00:05:00 •Module 12: Handle Submit: 00:04:00 •Module 13: Add Clinical's - Create Form: 00:07:00 •Module 14: Add Clinical's - Handle Submit: 00:04:00 •Module 01: Introduction 14: 00:02:00 •Module 02: Steps 14: 00:01:00 •Module 03: Setup the database: 00:03:00 •Module 04: Setup Project: 00:02:00 •Module 05: Get All: 00:05:00 •Module 06: Get One: 00:03:00 •Module 07: Create: 00:04:00 •Module 08: Return after Insert: 00:02:00 •Module 09: Update: 00:03:00