397 Courses

Dive into the fascinating world of Python programming where you’ll master the fundamentals of classes, methods, and object-oriented programming (OOP) with clarity and confidence. This course is tailored for those eager to deepen their coding knowledge and build robust, organised software using Python’s powerful OOP features. You’ll explore how to create your own classes, design methods that interact seamlessly, and understand key principles such as inheritance, encapsulation, and polymorphism—all explained in an accessible and engaging manner. Whether you’re a budding coder or someone aiming to refine your programming toolkit, this course delivers content in a clear, step-by-step style that makes complex concepts feel approachable. Along the way, expect a few witty explanations to keep things lively while maintaining professional precision. With each lesson, you’ll find yourself thinking more like a programmer and less like a bewildered keyboard wrangler. Perfectly suited for online learners, this course invites you to grow your Python skills at your own pace, with materials designed to enhance your understanding and fuel your curiosity. Expert Support Dedicated tutor support and 24/7 customer support are available to all students with this premium quality course. Key Benefits Learning materials of the Design course contain engaging voiceover and visual elements for your comfort. Get 24/7 access to all content for a full year. Each of our students gets full tutor support on weekdays (Monday to Friday) Course Curriculum: Here is a curriculum breakdown of the Code with Python: Learn Classes, Methods and OOP course: Section 01: Introduction Course Introduction Course Curriculum How to get Pre-requisites Getting Started on Windows, Linux or Mac Section 02: Class Introduction to Class Create a Class Calling a Class Object Class Parameters - Objects Access Modifiers(theory) Summary Section 03: Methods Introduction to methods Create a method Method with parameters Method default parameter Multiple parameters Method return keyword Method Overloading Summary Section 04: OOPs Object-Oriented Programming Introduction to OOPs Classes and Objects Class Constructors Assessment Test1 Solution for Assessment Test1 Summary Section 05: Inheritance and Polymorphism Introduction Inheritance Getter and Setter Methods Polymorphism Assessment Test2 Solution for Assessment Test2 Summary Section 06: Encapsulation and Abstraction Introduction Access Modifiers (public, protected, private) Encapsulation Abstraction Summary Section 07: Python Games for Intermediate Introduction Dice Game Card and Deck Game Playing Summary Section 08: Modules and Packages Introduction PIP command installations Modules Naming Module Built-in Modules Packages List Packages Summary Section 09: Working Files with Pandas Introduction Reading CSV files Writing CSV files Summary Section 10: Error and ExceptionHandling Introduction Errors - Types of Errors Try - ExceptExceptions Handling Creating User-Defined Message Try-Except-FinallyBlocks Summary Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). Who is this course for? This Code with Python: Learn Classes, Methods and OOP course is designed to enhance your expertise and boost your CV. Learn key skills and gain a certificate of achievement to prove your newly-acquired knowledge. Requirements This Code with Python: Learn Classes, Methods and OOP course is open to all, with no formal entry requirements. Career path Upon successful completion of the Code with Python: Learn Classes, Methods and OOP Course, learners will be equipped with many indispensable skills and have the opportunity to grab.

Step into the intricate world of artificial neural networks with a course that sheds light on one of the most dynamic branches of deep learning. Designed for those keen to explore the structure, function and logic behind intelligent systems, this course blends academic insight with a clear, structured approach to the evolving digital frontier. From perceptrons to multilayer networks, it offers a layered understanding of how machines mimic the human brain’s decision-making process — minus the caffeine and existential crises. Whether you're sharpening your knowledge or stepping into the field with curiosity, this course provides a sharp focus on the core principles that power technologies like image recognition, voice synthesis and predictive modelling. Delivered in an accessible format, it caters to learners who want depth without the fluff, logic without the waffle, and progress without the guesswork. Neural networks may be artificial — but your understanding of them won’t be. Learning Outcomes: Gain a solid understanding of artificial neural networks and their applications in deep learning. Learn how to install the necessary packages and preprocess data for neural network training. Discover how to encode data and build your own artificial neural network using Python. Understand the steps involved in making predictions using your neural network model. Learn how to deal with imbalanced data in your neural network training. The Project on Deep Learning - Artificial Neural Network course is designed to provide you with the skills and knowledge you need to build your own neural network and perform complex tasks using deep learning. You'll learn how to install the necessary packages, preprocess data, and encode data for neural network training. You'll also gain a deeper understanding of artificial neural networks and learn how to build your own model using Python. By the end of the course, you'll be able to make predictions using your neural network model and understand how to deal with imbalanced data in your training. Project on Deep Learning - Artificial Neural Network Course Curriculum Section 01: Introduction Section 02: ANN Installation Section 03: Data Preprocessing Section 04: Data Encoding Section 05: Steps to Build ANN Section 06: Predictions and Imbalance-Learn How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Data analysts who want to expand their skills in deep learning and artificial neural networks. Programmers who want to learn how to build their own neural network models for advanced tasks. Entrepreneurs who want to develop their own deep learning-based applications. Students who want to enhance their skills in deep learning and prepare for a career in the field. Anyone who wants to explore the world of artificial neural networks and deep learning projects. Career path Data Analyst: £24,000 - £45,000 Machine Learning Engineer: £28,000 - £65,000 Deep Learning Engineer: £30,000 - £75,000 Technical Lead: £40,000 - £90,000 Chief Technology Officer: £90,000 - £250,000 Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Ever wondered how to speak confidently about buildings, materials, and construction terms—in Portuguese? This course is your blueprint to building language skills tailored to the world of structural design and architecture. From concrete columns to roofing terms, you'll learn how to talk structures with precision and clarity—all in Portuguese. Whether you're a construction enthusiast, a professional working with Portuguese-speaking clients, or simply keen to expand your vocabulary, this course is structured to help you build fluency without ever picking up a hammer. Expect engaging modules that introduce you to the foundations of structural language—from everyday construction phrases to technical expressions. It's not about laying bricks; it's about laying down words that matter. Delivered entirely online, this course offers you the flexibility to learn from wherever you are, while gaining knowledge that’s both specific and linguistically sharp. If structure speaks to you, let it speak Portuguese too. Learning Outcomes: Gain a solid understanding of artificial neural networks and their applications in deep learning. Learn how to install the necessary packages and preprocess data for neural network training. Discover how to encode data and build your own artificial neural network using Python. Understand the steps involved in making predictions using your neural network model. Learn how to deal with imbalanced data in your neural network training. The Project on Deep Learning - Artificial Neural Network course is designed to provide you with the skills and knowledge you need to build your own neural network and perform complex tasks using deep learning. You'll learn how to install the necessary packages, preprocess data, and encode data for neural network training. You'll also gain a deeper understanding of artificial neural networks and learn how to build your own model using Python. By the end of the course, you'll be able to make predictions using your neural network model and understand how to deal with imbalanced data in your training. Build Structures in Portuguese Course Curriculum Introduction Section 01: Chapter 1 Section 02: Chapter 2 Section 03: Chapter 3 Section 04: Chapter 4 Section 05: Chapter 5 Section 06: Chapter 6 Section 07: Chapter 7 Section 08: Chapter 8 Section 09: Chapter 9 Section 10: Chapter 10 How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Data analysts who want to expand their skills in deep learning and artificial neural networks. Programmers who want to learn how to build their own neural network models for advanced tasks. Entrepreneurs who want to develop their own deep learning-based applications. Students who want to enhance their skills in deep learning and prepare for a career in the field. Anyone who wants to explore the world of artificial neural networks and deep learning projects. Career path Data Analyst: £24,000 - £45,000 Machine Learning Engineer: £28,000 - £65,000 Deep Learning Engineer: £30,000 - £75,000 Technical Lead: £40,000 - £90,000 Chief Technology Officer: £90,000 - £250,000 Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Python isn’t just a programming language—it’s the secret weapon behind automation, web development, data analysis, and more. Whether you're aiming to write clean, efficient code or understand how modern applications are built, this course brings the full Python ecosystem to your screen. With a clear, structured journey from the absolute basics to more advanced topics, this masterclass helps you grasp key programming concepts without fluff or filler. Forget drawn-out tech jargon. This course makes coding feel less like solving a mystery and more like connecting the dots. From syntax and loops to functions and object-oriented techniques, each topic is delivered with clarity, a hint of humour, and the kind of logic Python is famous for. Whether you’re starting fresh or polishing old skills, this course offers a solid digital foundation that’s accessible, flexible, and thoroughly built for modern learners who want Python done right. Learning Outcomes: Understand the fundamentals of Python programming and its applications in various industries. Analyse and manipulate data using lists, tuples, strings, and dictionaries in Python. Develop programming solutions using Python's standard libraries and reference files. Create and implement control flow structures using conditions, loops, and statements. Utilise advanced features of Python such as magic methods, properties, and iterators. "Ultimate Python Programming Masterclass" is a comprehensive course bundle designed to equip learners with the knowledge and skills necessary to master Python programming. This course covers a range of topics, including data manipulation, control flow structures, and advanced Python features. With a hands-on approach and real-world programming scenarios, learners will develop the ability to create powerful applications and solutions using Python. This course bundle is ideal for anyone interested in programming or seeking to enhance their programming skills. Whether you're a student, a professional looking to switch careers, or an experienced programmer seeking to learn a new language, "Ultimate Python Programming Masterclass" is the perfect way to take your skills to the next level. Ultimate Python Programming Masterclass Course Curriculum Section 01: Introduction to Python Programming Section 02: Lists & Tuples Section 03: Strings Section 04: Dictionaries Section 05: Dictionaries Methods Section 06: Conditions, Loops and Statements Section 07: Abstraction-I Section 08: Abstraction-II Section 09: Exceptions Section 10: Magic Methods, Properties and Iterators Section 11: Standard Libraries Section 12: Reference Files How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 15 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Students interested in programming and computer science. Professionals seeking to enhance their programming skills. Entrepreneurs and business owners looking to create innovative solutions. Experienced programmers seeking to learn a new language. Individuals looking to switch careers and enter the field of programming. Career path Python Developer: £35,000 - £70,000 Data Analyst: £20,000 - £60,000 Machine Learning Engineer: £40,000 - £90,000 Software Engineer: £25,000 - £80,000 Web Developer: £20,000 - £55,000 Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

If you’ve ever wondered how websites behave the way they do, JavaScript is the engine that brings them to life. This course offers a solid journey through developing interactive web applications using JavaScript—designed for learners keen to understand how functional apps are built from scratch. Whether you're a beginner with some HTML and CSS under your belt or someone looking to sharpen your scripting skills, this course walks you through structured, engaging projects that reflect how things work behind the screen. The lessons are smartly arranged to help you write better code, manage logic efficiently, and shape features that respond smoothly to user interactions. From dynamic interfaces to responsive designs, each module focuses on real applications of JavaScript, avoiding fluff and straightening out confusion with clean, sensible explanations. Think of it as coding with clarity, not chaos. You're not just learning JavaScript—you’re learning how to make it work the way developers use it to build sleek, functional web experiences. Learning outcomes: Gain a thorough understanding of the basics of event-driven programming and the property or style object Learn how to create a login page with validation and implement JavaScript functions Understand the concepts of a shopping cart and how to manage items in it Develop skills to create user-friendly interfaces using JavaScript Gain hands-on experience in creating a web app using JavaScript The JavaScript Project Development - Creating Web Apps course is designed to teach students how to create user-friendly web applications using JavaScript. The course covers a wide range of topics, including event-driven programming, managing a shopping cart, creating a login page with validation, and implementing JavaScript functions. By the end of the course, students will have gained a thorough understanding of JavaScript and how it can be used to create effective and engaging web applications. JavaScript Project Development - Creating Web Apps Course Curriculum Section 01: Introduction Introduction to Java Script Event Driven Programming Property or Style Object Section 02: Shopping Cart Creating Login Page Validation on Login Page Implementing Java Script Example of Shopping Cart Functions in Java Script Adding Items to Cart Removing Items from Cart Terms of Shopping Cart Files in Local Storage Section 03: Shopping Cart GUI Function for Display Cart Function for Deleting Cart Creating Input Id Section 04: Online Examination Developing Application Function for Return Document Function Check Answer How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Beginner web developers who want to learn how to create user-friendly web applications using JavaScript Experienced developers who want to expand their knowledge of JavaScript and its capabilities Freelancers who want to offer their clients high-quality web application development services Employees who want to improve their web development skills and become more valuable to their company Anyone interested in creating engaging and effective web applications using JavaScript. Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Junior web developer: £20,000 - £30,000 Web developer: £30,000 - £40,000 Front-end developer: £35,000 - £50,000 Full-stack developer: £40,000 - £60,000 Senior web developer: £50,000 - £70,000 Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Suitable for complete beginners Age 15 plus Join Lynne from Pots of Magic to create your own ceramic Greenman plaque . During this 3 hour workshop you will be guided through each section using basic hand building and sculpting techniques . During the first 90 minutes you will sculpt and form the face ,with the opportunity to create your own unique character . There will then be a teabreak before you add the foliage to your Greenman Foliage will be provided however if you wish to personalise your plaque using leaves from your own garden please do not hesitate to do so . (Please note leaves are rolled into the clay to leave an imprint then cut out .therefore leaves with veins give best results ) Once finished your clay creation will dry out slowly for 2 weeks before under going its first kiln firing . Once bisque fired it will then be professionally glazed by Lynne and enter the kiln again for its final firing . Your final piece will be ready for collection 4 to 5 weeks later from Ainsdale . All materials Tuition Glazing And both firings are included in the price. £60 pp Complete beginners are welcome and no experience is required We look forward to a fun creative morning!

Duration 2 Days 12 CPD hours This course is intended for The audience for B2B Commerce Developer is any individual who will participate in a new implementation who needs working knowledge and experience with B2B Commerce technical components. Attendees should have intermediate skills in: Object Oriented Programming (Apex or Java) Full-Stack Development (VisualForce, JavaScript, CSS and REST APIs, JSON, Handlebars, and jQuery) Salesforce Administration (Sharing Rules, Process Builder, and Object Relationships)This class is designed for individuals responsible for implementing the technical components of a new B2B Commerce Cloud storefront. You should have some experience with the following: Object-oriented programming (Apex or Java) Full-stack development (Visualforce, JavaScript, CSS and REST APIs, JSON, Handlebars, and jQuery) Salesforce Administration (Sharing Rules, Process Builder, and Object Relationships) Overview Identify where and what events require code extension. Effectively navigate and configure in B2B Commerce on Classic Admin. Implement UI, Logic Class, and Service Class Overrides along with Subscriber Code Integration. Create your own B2B Commerce on Classic solution and troubleshoot problem areas during the development cycle. Take the next step toward a B2B Commerce Developer Accreditation. Explore the Salesforce B2B Commerce platform on Classic and discover how and when to extend your events with code. In this 2-day class, our B2B Commerce Cloud experts will walk you through how to use code to customize the UI and extend functionality in your B2B Commerce Cloud on Classic storefront so you can deliver a buyer experience that satisfies your organization?s unique requirements. Technical Overview Review Key Terms Understand B2B Commerce on Classic Architecture and Technology Stack Take a Tour of the UI Understand B2C Commerce Cloud on Classic Admin Configuration vs. Code Extension Storefront Overview Implement B2B Commerce on Classic Create a Storefront Load Data Enable Buyers User Interface Review UI Best Practices Familiarize Yourself with Key Terms Explore UI Themes Customize UI Layouts Use Subscriber Templates Use Page Includes Manage Subscriber Pages Extensions Override Handlebars Extend My Account Extend B2B Commerce Checkout Flow Explore Global JavaScript Functions Understand B2B Commerce Event Handling Explore Handlebars Functions Explore Localization Functions Extend Utility Functions and Objects Extend Global Extension Points Core Capabilities Handle Cases Using Process Builder Configure Payment Types

Duration 1 Days 6 CPD hours This course is intended for Reporting Fundamentals in Lightning Experience is ideal for Sales Rep/Managers, Service Rep/Managers, Beginning Admin, and Business Analyst/Solution Architects. Overview When you complete this course, you will be able to:Work with standard reports.Establish a report building process.Build custom reports using different reporting formats in Lightning.Group and summarize reports in Lightning.Use field filters and filter logic.Add charts and conditional highlighting.Create dashboards in Lightning This course will teach you how to customize existing reports as well as use the Salesforce reporting toolset to create your own reports. Introducing the CourseReports Tab, Folders, and Formats Navigate the Reports Tab to Find Suitable Reports Create Custom Folders in Classic to be Used in Lightning Describe the Different Formats of Reports Run and Modify Existing Reports Using the Report Builder Establish a Report Building Process Navigate the Report Builder Create Custom Reports Using a Standard Report Type Use Filters and Filter Logic Export Your Report Summarizing Your Data Understand the Difference Between a Summary and Matrix Report Use Bucket Fields to Segment Your Data Use Custom Summary Formulas to Perform Calculations on Your Report Data Getting More Insight from Your Data Add Conditional Highlighting to a Report Create Charts to Display Summary Data Schedule and Email a Report to Run Dashboards Articulate What a Dashboard Is Understand the Benefits of Creating Dashboards in Lightning Create a Dashboard Using the Dashboard Builder Additional course details: Nexus Humans Salesforce Reporting Fundamentals in Lightning Experience (RPX101) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Salesforce Reporting Fundamentals in Lightning Experience (RPX101) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 2 Days 12 CPD hours This course is intended for This class is designed for experienced Salesforce Administrators who are responsible for setting up, configuring, and managing Service Cloud. Prior to taking this class, you should have a solid understanding of Salesforce functionality and concepts, at least 6 months of experience using Salesforce, and the Salesforce Administrator credential or equivalent knowledge. Overview Set up the case management process automating the support process with queues, assignment/escalation rules, and Process Builder. Configure Salesforce knowledge to help you manage the creation, publication, and maintenance of knowledge articles. Enable entitlements to set up service contracts. Set up the Salesforce Service Console app to help your support reps work more efficiently. Understand the capabilities of the Softphone Utility in the Lightning Console. Configure online chat with customers using Web Chats. Understand and set up communities. Leverage Service Cloud to scale your support efforts and improve customer service. In this 2-day class, Service Cloud experts will walk you through how to configure and maintain Service Cloud for your organization. Learn how to set up service contracts with milestones and entitlements, set up the Service Console application, add the Softphone Utility to your Lightning Console, and set up Web Chats to provide frictionless customer support. Learn how to configure a Customer Community so you can connect customers to knowledge articles and community members to find answers instantly. Case Escalations and Entitlements Create processes to streamline a support team?s workflow and case management. Customize fields, page layouts, and record types for different kinds of support cases. Define picklist values for each new record type. Create case assignment rules, queues, and escalation rules to push cases to the appropriate support team at the appropriate time. Create and manage entitlements to customize the level of support for each customer. Salesforce Knowledge Enable Lightning Knowledge and assign appropriate user licenses. Customize page layouts and record types to support knowledge article management. Customize access to, permissions for, and visibility of knowledge tools and processes. Create and manage articles to ensure quality of information. Manage and close cases more efficiently using knowledge articles. Lightning Service Console Create your own Service Console app. Customize the Lightning Console pages. Add Utilities to your console. Enable and utilize Chat (formerly Live Agent). Optimize the use of Omni-Channel. Salesforce Self-Service Communities Enable communities in your Salesforce org. Create a permission set for effective administration of communities. Customize the look and layout of the community. Add the Reputation component to the community. Additional course details: Nexus Humans Salesforce Administer and Maintain Service Cloud (ADX261) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Salesforce Administer and Maintain Service Cloud (ADX261) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

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