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Mastering 3ds Max and Photoshop Training Course. earn 3D design, modeling, and rendering with 3ds Max, and seamlessly integrate Photoshop skills. Expert instructors guide you in enhancing images and creating stunning renderings. Our 3ds Max course is designed to help you learn basic and advanced architectural visualisation. Click here for more info: Website Duration: 20 hours Approach: 1-on-1, Customized and Flexible pacing. Session Flexibility: Design your own timetable at your convenient hour between 9 am and 7 pm, Mon to Sat. 20-Hour Comprehensive Training in 3ds Max and Photoshop. Course Breakdown: Module 1: Introduction to 3ds Max (6 hours) Familiarization with 3ds Max's interface and workspace Navigation and basic modeling tools usage Creation and manipulation of primitive objects Object modification with modifiers for specific effects Materials, textures, and basic lighting techniques Introduction to rendering 3D scenes Module 2: Intermediate 3ds Max Techniques (6 hours) Advanced modeling with splines and polygons Camera creation and animation for realistic perspectives Character rigging and animation using bones Particle systems for visual effects and dynamic simulations Designing landscapes and outdoor scenes Exploration of advanced lighting and rendering methods Module 3: Introduction to Photoshop for 3D Artists (4 hours) Understanding Photoshop interface and essential editing tools Seamless integration of 3D models and textures between 3ds Max and Photoshop Creation and editing of textures and materials for realistic surfaces Post-production and compositing techniques to enhance 3D renders Module 4: Advanced Photoshop Techniques for 3D Artists (4 hours) Custom brush and texture creation for artistic elements Non-destructive editing using layer masks and adjustment layers Advanced compositing for seamless 3D element integration Crafting photorealistic textures and materials for impressive visuals Module 5: Project-Based Learning (4 hours) Application of learned techniques to a real-world project 3D modeling, texturing in Photoshop, and final image rendering Instructor feedback for project refinement Presentation of completed projects, showcasing acquired skills. Attendees will learn to craft intricate 3D models using Autodesk 3ds Max, mastering primitive objects, splines, and polygons for complex designs. Advanced Rendering Techniques: Participants will acquire skills in texturing, material application, lighting strategies, and rendering tools, crafting visually striking and lifelike 3D environments. Animation Prowess: Students will delve into object and character animation, simulation of perspectives with cameras, and the dynamic use of particle systems for visual effects and simulations. Essential Photoshop Proficiency: Attendees will gain vital Photoshop skills for post-processing, compositing 3D renders, and creating realistic textures, enhancing the quality of their 3D projects. Hands-On Project Engagement: Through practical projects, participants will receive expert feedback, honing their skills and demonstrating their expertise in real-world applications. Creative Problem-Solving Abilities: Attendees will cultivate creative thinking and problem-solving skills, enabling them to manifest their unique artistic visions in their 3D projects. Skills Acquired: Participants in the Mastering 3ds Max and Photoshop Training Course will gain advanced proficiency in 3D modeling, texturing, lighting, and rendering using 3ds Max. Additionally, they will master digital image manipulation, graphic design, and photo editing techniques using Photoshop. Key skills include: Advanced 3D Modeling and Rendering in 3ds Max Expert Texturing and Lighting Techniques Digital Image Manipulation and Retouching in Photoshop Graphic Design and Visual Communication Skills Job Opportunities: Upon completion, individuals can pursue a range of exciting career opportunities, including: Senior 3D Artist Game Developer Architectural Visualization Specialist Graphic Designer Visual Effects Artist This course equips participants with the expertise needed for roles in animation studios, game development companies, architectural firms, advertising agencies, and more, providing a pathway to thriving careers in the creative industry. Advantages of joining this program: Thorough education: Excel in 3ds Max and Photoshop for high-quality visual effects and motion graphics at a professional level. Certified mentors and industry specialists: Receive instruction from seasoned professionals for expert direction. Interactive online sessions: Engage from any location; no need for travel. Lesson recordings: Access recorded sessions for revision and reinforcement. Long-term email assistance: Receive ongoing support even after the course completion. Complimentary career guidance: Gain valuable industry insights to boost your career prospects. Download Adobe Photoshop Download Autodesk 3dsmax

Arbitration and Dispute Resolution Why Attend Effective dispute resolution helps minimize the costs and adverse effects to relationships that often arise from commercial disputes. If informal negotiation fails to resolve a dispute, mediation or arbitration can often be the next best option in order to avoid litigation in court. This course will give participants an insight into dispute resolution from the perspective of a lawyer. Participants will gain an in-depth understanding of the main differences between the various dispute resolution techniques with a particular focus on arbitration, in order to reduce the likelihood of disputes leading to court cases. Course Methodology In this interactive training course participants will frequently work in pairs as well as in larger groups to complete exercises as well as regional and international case studies. Course Objectives By the end of the course, participants will be able to: Identify the right course of action to resolve a legal dispute Reduce the possibility of disputes leading to legal action Apply national and international legal requirements for dispute resolution Employ arbitration knowledge to negotiate terms Use case law to achieve a favorable outcome for their organization Target Audience This course is suitable for professionals within all industries who are involved in contract management and resolving disputes including, but not limited to, project managers, contract managers, procurement managers, supply chain managers, contractors, architects, developers and engineers. This course would also highly benefit in-house council and legal advisors new to the region who require the fundamentals of dispute resolution in the GCC. Target Competencies Litigation Arbitration Mediation Negotiation GCC Dispute Resolution Frameworks Note The Dubai Government Legal Affairs Department has introduced a Continuing Legal Professional Development (CLPD) programme to legal consultants authorised to practise through a licensed firm in the Emirate of Dubai. We are proud to announce that the Dubai Government Legal Affairs Department has accredited EMG Associates as a CLPD provider. In addition, all our legal programmes have been approved. This PLUS Specialty Training Legal course qualifies for 4 elective CLPD points. Fundamentals of dispute resolution Overview of the dispute resolution process Adjudicative process Consensual process Introduction to the English High Court litigation processes Why do international businesses take their dispute to the English High Court? English civil courts Legal practitioners who are involved in resolving disputes  Importance of jurisdiction clause How do you decide? Exclusive or non-exclusive? Differences between the Civil law system and the Common law system Principles of the common law system Principles of the civil law system The importance of these systems in dispute resolution Importance of Alternative Dispute Resolution ( ADR) Types of ADR Arbitration Mediations Conciliation Negotiation Arbitration - the best form of ADR The object of Arbitration The role of an Arbitrator Advantages and disadvantages of Arbitration Requirement of an Arbitration agreement The importance of the New York convention The role of UNCITRAL in dispute resolution Preparing for an arbitration hearing Types of Arbitration Institutional arbitration v Ad hoc arbitration Advantages and disadvantages of Institutional arbitration Advantages and disadvantages of Ad hoc arbitration Drafting international Arbitration agreement Checklist for drafting an Arbitration agreement Practical consideration with 'Seat' of Arbitration Model Arbitration clauses ICC LCIA Arbitral awards Enforcement of an Arbitral awards Grounds for challenging Arbitral awards Recent international case law Arbitration terms and terminology Other ADR methods: Advantages and disadvantages of each method: Mediation Conciliation Negotiation Ambiguity in an Arbitration clause What to avoid Importance of the language used in an Arbitration clause Dubai International Arbitration Centre (DIAC) Examining the rules of DIAC

This updated course helps you to grasp the core concepts of the Cucumber behavior-driven development (BDD) framework from scratch. You will learn various automation terminologies, the process to integrate the Cucumber framework with Maven, Jenkins, and Selenium, and a lot of interesting topics that will help you to develop high-class automation test cases.

This course is perfect for quality assurance professionals who want to step into automation testing with Cypress. You will learn Cypress from scratch and become a specialist in building a solid Cypress automation framework to test any real-world web application.

HTML5 development training course description This three-day MTA Training course helps you prepare for Microsoft Technology Associate Exam 98-375, and build an understanding of these topics: Manage the Application Life Cycle, Build the User Interface by Using HTML5, Format the User Interface by Using CSS, Code by Using JavaScript. This course leverages the same content as found in the Microsoft Official Academic Course (MOAC) for this exam. What will you learn Manage the Application Life Cycle. Build the User Interface by Using HTML5. Format the User Interface by Using CSS. Code by Using JavaScript. HTML5 development training course details Who will benefit: Anyone working with HTML5. Prerequisites: None. Duration 3 days HTML5 development training course contents Managing the Application Life Cycle Platform fundamentals Packaging and the runtime environment: app package, app container, credentials/permission sets, host process, leverage existing HTML5 skills and content for slate/tablet applications. Manage the state of an application Manage session state, app state and persist state information; understand states of an application; understand the differences between local and session storage. Debug and test a HTML5 touch-enabled application Touch gestures; gestures you test on a device. HTML5 UI: Text, Graphics, and Media HTML5 tags for text content and graphics. When, why and how to use Canvas; when, why and how to use scalable vector graphics (SVG). HTML5 tags to play media. Video and audio tags. HTML5 UI: Organization, Input, and Validation HTML5 tags to organise content and forms Tables, lists, sections; semantic HTML. HTML5 tags for input and validation CSS Essentials: Content Flow, Positioning, styling Core CSS concepts Separate presentation from content (create content with HTML and style content with CSS); manage content flow (inline versus block flow); manage positioning of individual elements( float versus absolute positioning); manage content overflow (scrolling, visible and hidden); basic CSS styling. CSS Essentials: Layouts Arrange UI content by using CSS Use flexible box and grid layouts to establish content alignment, direction and orientation; proportional scaling and use of "free scale" for elements within a flexible box or grid; order and arrange content; concepts for using flex box for simple layouts and grid for complex layouts; grid content properties for rows and columns; use application templates. Managing Text Flow by Using CSS Regions and using regions to flow text content between multiple sections (content source, content container, dynamic flow, flow-into, flow-from, msRegionUpdate, msRegionOverflow, msGetRegionContent); columns and hyphenation and using these CSS settings to optimise the readability of text; use "positioned floats" to create text flow around a floating object Managing the Graphical Interface by Using CSS Graphics effects (rounded edges, shadows, transparency, background gradients, typography and Web Open Font Format); 2-D 3-D transformations (translate, scale, rotate, skew and 3-D perspective transitions and animations); SVG filter effects; Canvas. JavaScript and coding essentials Manage and maintain JavaScript, Create and use functions; jQuery and other third-party libraries. Update the UI by using JavaScript Locate/access elements; listen and respond to events; show and hide elements; update the content of elements. Animations, Graphics, and Accessing Data Code animations with JavaScript animation; manipulate the canvas; work with images, shapes and other graphics. Access data access by using JavaScript Send and receive data; transmit complex objects and parsing; load and save files; App Cache; datatypes; forms; cookies; localStorage JavaScript coding for Touch Interface, Device and Operating System Resources, and More Respond to the touch interface, Gestures, how to capture and respond to gestures, Code additional HTML5 APIs, GeoLocation, Web Workers, WebSocket; File API, Access device and operating system resources, In- memory resources, such as contact lists and calendar; hardware capabilities, such as GPS, accelerometer and camera.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brandnew version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative dversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions

Duration 4 Days 24 CPD hours This course is intended for This course is geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brand-new version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative adversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts. Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm ? YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions

Overview This comprehensive course on Typescript 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 Typescript 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? After successfully completing the course you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this Typescript Level 4. It is available to all students, of all academic backgrounds. Requirements Our Typescript 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 • 90 lectures • 04:07:00 total length •Module 01: What and why TypeScript: 00:02:00 •Module 02: TypeScript Playground: 00:04:00 •Module 03: Install TypeScript: 00:02:00 •Module 04: Install Visual Studio Code: 00:01:00 •Module 01: Introduction: 00:03:00 •Module 02: First Program Using Visual Studio Code: 00:04:00 •Module 03: Use JS in a HTML: 00:02:00 •Module 04: Strings: 00:02:00 •Module 05: Boolean: 00:01:00 •Module 06: Any Type: 00:01:00 •Module 07: Homogenous Arrays: 00:03:00 •Module 08: Heterogeneous Arrays: 00:01:00 •Module 09: Using alert confirm and prompt: 00:03:00 •Module 10: Comments: 00:02:00 •Module 11: Enum Type: 00:05:00 •Module 01: Arithmetic: 00:03:00 •Module 02: Assignment: 00:04:00 •Module 03: Comparison: 00:04:00 •Module 04: Logical: 00:04:00 •Module 05: Ternary: 00:03:00 •Module 01: Introduction: 00:01:00 •Module 02: IF Else Ladder: 00:06:00 •Module 03: Switch: 00:04:00 •Module 04: Break and Case Flow: 00:03:00 •Module 05: While loop: 00:03:00 •Module 01: Introduction: 00:02:00 •Module 02: Object Literal: 00:03:00 •Module 03: For-In Loop: 00:02:00 •Module 04: Arrays: 00:04:00 •Module 05: De-Structuring Arrays: 00:02:00 •Module 06: De-Structuring Objects: 00:02:00 •Module 01: Introduction: 00:02:00 •Module 02: First Function: 00:03:00 •Module 03: Passing a parameter: 00:01:00 •Module 04: Passing Multiple Parameters: 00:02:00 •Module 05: Optional Parameters: 00:04:00 •Module 06: Default Values: 00:01:00 •Module 07: Function as parameter: 00:02:00 •Module 08: Returning a function: 00:03:00 •Module 09: Anonymous Functions: 00:02:00 •Module 10: Overloading: 00:05:00 •Module 11: REST PARAMS: 00:05:00 •Module 12: Using a Type on REST PARAM: 00:01:00 •Module 01: Introduction: 00:02:00 •Module 02: First arrow function: 00:03:00 •Module 03: Passing Parameters: 00:03:00 •Module 04: Array of Arrow Functions: 00:03:00 •Module 01: let: 00:03:00 •Module 02: const: 00:02:00 •Module 02: const functions: 00:02:00 •Module 04: declare: 00:01:00 •Module 01: Introduction: 00:02:00 •Module 02: Define an Object Interface: 00:03:00 •Module 03: Create and object: 00:03:00 •Module 04: Defining optional properties: 00:01:00 •Module 05: Interfaces are only compile time: 00:01:00 •Module 06: Function Interfaces: 00:04:00 •Module 07: Return Types in Functional interfaces: 00:02:00 •Module 08: Adding methods to Object Interfaces: 00:02:00 •Module 09: Array Interfaces: 00:03:00 •Module 10: String indexed Array Interfaces: 00:03:00 •Module 11: Extending interfaces: 00:06:00 •Module 01: Introduction: 00:01:00 •Module 02: Create a class: 00:03:00 •Module 03: Add a constructor: 00:04:00 •Module 04: Add Function properties: 00:02:00 •Module 05: Power of TypeScript: 00:01:00 •Module 06: Using for-in and instanceof: 00:04:00 •Module 07: Implementing an interface: 00:06:00 •Module 01: Introduction: 00:03:00 •Module 02: Extending a class: 00:05:00 •Module 03: Create Child Objects: 00:07:00 •Module 04: Inheriting Functionality: 00:04:00 •Module 05: Overriding: 00:03:00 •Module 01: Public and readonly: 00:02:00 •Module 02: Encapsulation: 00:01:00 •Module 03: Private properties: 00:04:00 •Module 04: Accessor methods: 00:02:00 •Module 05: Using Static Properties: 00:04:00 •Module 06: More about static: 00:01:00 •Module 07: Static Methods: 00:03:00 •Module 01: String to numeric: 00:04:00 •Module 02: Using the toString method: 00:03:00 •Module 03: Object Casting: 00:02:00 •Module 01: Introduction: 00:01:00 •Module 02: Using Function Modules: 00:04:00 •Module 03: Import Aliasing and Alternate Export Syntax: 00:02:00 •Module 04: Default Exports: 00:02:00 •Module 05: Class Modules: 00:01:00 •Module 06: Aliasing class modules: 00:02:00

Register on the Machine Learning in Flutter 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 Machine Learning in Flutter 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 The Machine Learning in Flutter Course 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 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 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. 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 Machine Learning in Flutter course, 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 Unit 01: Introduction Module 01: Course Curriculum 00:02:00 Unit 02: Image Picker and Camera Libraries Module 01: Image Picker Library for Flutter App Development 00:13:00 Module 02: Flutter Image Picker Application Testing 00:01:00 Module 03: Camera Package Setup for Flutter 00:04:00 Module 04: Flutter Camera Package Code 00:08:00 Unit 03: Firebase ML Kit Module 01: Firebase ML kit section Introduction 00:01:00 Module 02: Firebase ML Kit introduction 00:02:00 Unit 04: Image Labeling using ML Kit Module 01: Flutter Image Labeling Section Introduction 00:02:00 Module 02: Importing Starter code for image labeling 00:03:00 Module 03: Image labeling starter code explanation 00:06:00 Module 04: Creating firebase project for image labeling 00:06:00 Module 05: Adding Firebase ML Vision library in Flutter Application 00:10:00 Module 06: Testing Firebase Image labeling application 00:01:00 Module 07: Importing Image Labeling live feed application starter code 00:03:00 Module 08: Flutter Camera Package Code 00:06:00 Module 09: Flutter Image Labeling live feed application code 00:08:00 Module 10: Flutter Image labeling live feed application testing 00:01:00 Unit 05: Section Barcode Scanning Module 01: Flutter Barcode Scanning Section Introduction 00:02:00 Module 02: Importing Starter code for Flutter Barcode Scanning 00:03:00 Module 03: Flutter Barcode Scanning code 00:11:00 Module 04: Flutter Barcode Scanning Application Testing 00:01:00 Module 05: Flutter Barcode Scanning Live Feed Application code 00:08:00 Module 06: Flutter Barcode Scanning Live feed Application Testing 00:01:00 Unit 06: Section Text Recognition Module 01: Flutter Text Recognition Section Introduction 00:01:00 Module 02: Importing Starter code for Flutter Text Recognition 00:03:00 Module 03: Writing Flutter Text Recognition Code 00:09:00 Module 04: Testing Flutter Text Recognition Application 00:01:00 Unit 07: Section Face Detection Module 01: Flutter Face Detection Section Introduction 00:02:00 Module 02: Flutter Face Detection Application Flow 00:01:00 Module 03: Flutter Face Detection code 00:06:00 Module 04: Flutter drawing rectangles around detected faces 00:05:00 Unit 08: Pretrained Tensorflow lite models Module 01: Pretrained Tensorflow lite models Section Introduction 00:02:00 Unit 09: Section Image Classification Module 01: Flutter Image classification Section introduction 00:02:00 Module 02: Importing Starter code for Flutter Image classification application 00:03:00 Module 03: Starter code explanation for Flutter Image classification 00:06:00 Module 04: Writing flutter image classification code 00:13:00 Module 05: Testing flutter image classification application 00:02:00 Module 06: Importing Flutter live feed Image classification application starter code 00:03:00 Module 07: Starter code explanation of Flutter Live feed Image classification application 00:05:00 Module 08: Writing Flutter Image classification code 00:11:00 Module 09: Testing live feed image classification flutter application 00:01:00 Unit 10: Section object detection Module 01: Flutter Object detection section introduction 00:02:00 Module 02: Importing Application code object detection flutter 00:05:00 Module 03: Flutter Object detection code 00:13:00 Module 04: Flutter Drawing Rectangles around detected objects 00:04:00 Module 05: Importing the code for live feed object detection flutter application 00:02:00 Module 06: Testing object detection live feed flutter application 00:01:00 Module 07: Flutter Live feed object detection application code 00:10:00 Unit 11: Section human pose estimation Module 01: Flutter Pose estimation section introduction 00:02:00 Module 02: Importing Flutter Pose estimation Application code 00:04:00 Module 03: Flutter Pose estimation code 00:10:00 Module 04: Importing pose estimation live feed flutter application code 00:02:00 Module 05: Flutter Live feed pose estimation application demo 00:09:00 Module 06: Using PoseNet model for Flutter Live feed pose estimation application 00:08:00 Unit 12: Image segmentation section Module 01: Flutter Image Segmentation Section Introduction 00:02:00 Module 02: Importing Flutter Image Segmentation Application code 00:03:00 Module 03: Flutter using DeepLab model for image segmentation 00:09:00 Unit 13: Section Training Image Classification Models Module 01: Section Introduction 00:02:00 Module 02: Machine Learning and Image classification 00:02:00 Unit 14: Dog Breed Classification Module 01: Flutter getting the dataset for model training 00:05:00 Module 02: Flutter Training the model 00:06:00 Module 03: Flutter Dog Breed Classification Application 00:18:00 Module 04: Flutter Live feed dog breed classification application 00:03:00 Module 05: Testing live feed dog breed classification application 00:01:00 Unit 15: Fruits Recognition using Transfer Learning Module 01: Transfer learning introduction 00:02:00 Module 02: Flutter getting the dataset for model training 00:05:00 Module 03: Flutter Training fruit recognition model 00:09:00 Module 04: Flutter Testing Live feed fruits recognition application 00:01:00 Frequently Asked Questions Are there any prerequisites for taking the course? There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course. Can I access the course at any time, or is there a set schedule? You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience. How long will I have access to the course? For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime. Is there a certificate of completion provided after completing the course? Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks. Can I switch courses or get a refund if I'm not satisfied with the course? We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase. How do I track my progress in the course? Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course. What if I have technical issues or difficulties with the course? If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.