442 Algorithm courses

🌟 Unlock the Secrets to Thriving on YouTube in Today's Dynamic Landscape! 🌟 🚀 Are you ready to conquer the digital realm and skyrocket your presence on YouTube? Introducing our groundbreaking online course: 'Succeeding in YouTube in the Current Landscape.' In a constantly evolving digital world, standing out on YouTube demands more than just uploading videos. It requires a strategic approach, insider know-how, and cutting-edge techniques. This comprehensive course is your ultimate guide to navigate the ever-changing landscape of YouTube and emerge as a content creator extraordinaire.   🔥 What You'll Gain from Our Course: ✅ In-depth Insights: Learn the latest algorithms, trends, and best practices crucial for YouTube success in today's competitive market. ✅ Channel Optimization: Master the art of crafting compelling channel content, optimizing keywords, and enhancing visibility. ✅ Audience Engagement: Uncover the secrets to captivate your audience, increase watch time, and foster a loyal subscriber base. ✅ Monetization Mastery: Discover diverse monetization strategies and turn your passion into a lucrative income stream. ✅ Algorithmic Advantage: Decode YouTube's algorithm to amplify your content's reach and boost discoverability.   🎓 Taught by industry experts with proven track records, this course amalgamates real-world insights, actionable strategies, and practical tips to empower you on your YouTube journey. 🌈 Join thousands of successful content creators who have transformed their YouTube presence with our guidance. Whether you're a beginner or a seasoned creator, this course is tailored to elevate your YouTube game and lead you toward exponential growth. 🚨 Limited Time Offer: Enroll now and gain access to exclusive bonuses, live Q&A sessions, and a vibrant community of like-minded creators eager to support your success! Don't let the ever-changing YouTube landscape intimidate you. Embrace the challenge, adapt, and thrive with our 'Succeeding in YouTube in the Current Landscape' course. Start your journey to YouTube stardom today! Course Curriculum Module 1: Discover The Complete Youtube Course For 2020!(Used When Combined With All Yt Courses) Discover The Complete Youtube Course For 2020!(Used When Combined With All Yt Courses) 00:00 Module 2: A Vision For Your Youtube! A Vision For Your Youtube! 00:00 Module 3: Remembering My First Video On Youtube Remembering My First Video On Youtube 00:00 Modue 4: Mrbeast Vs Me Mrbeast Vs Me 00:00 Module 5: Hardware For Filming Youtube Videos Hardware For Filming Youtube Videos 00:00 Module 6: Obs Vs Screenflow Vs Camtasia And Final Cut Pro X For Filming, Editing, And Rendering Videos! Obs Vs Screenflow Vs Camtasia And Final Cut Pro X For Filming, Editing, And Rendering Videos! 00:00 Module 7: Select Sensational Titles That Help Videos Go Viral And Or Optimize For Youtube Search! Select Sensational Titles That Help Videos Go Viral And Or Optimize For Youtube Search! 00:00 Module 8: How To Title Your Youtube Videos To Get More Views Secret Seo Strategy How To Title Your Youtube Videos To Get More Views Secret Seo Strategy 00:00 Module 9: Make Great Thumbnails Fast With Canva Even With No Graphic Design Experience! Make Great Thumbnails Fast With Canva Even With No Graphic Design Experience! 00:00 Module 10: How To Use The Youtube Creator Studio To Upload Videos In 2020 How To Use The Youtube Creator Studio To Upload Videos In 2020 00:00 Module 11: Publishing Schedule, Long-Term Viability, And Burn Out! Publishing Schedule, Long-Term Viability, And Burn Out! 00:00 Module 12: How To Make Money On Youtube With Ads, Memberships, Merchandise, And Super Chat How To Make Money On Youtube With Ads, Memberships, Merchandise, And Super Chat 00:00 Module 13: Sell Online Courses On Youtube With WordPress, Learndash, And Woocommerce Sell Online Courses On Youtube With WordPress, Learndash, And Woocommerce 00:00 Module 14: Get More Youtube Views And Make Sales With Google Ads! Get More Youtube Views And Make Sales With Google Ads! 00:00 Module 15: Being Grateful For Every Viewer! Being Grateful For Every Viewer! 00:00 Module 16: Coppa Everything You Need To Know - New Youtube Updates Make Compliance Easy Coppa Everything You Need To Know - New Youtube Updates Make Compliance Easy 00:00 Module 17: $10,000 A Day On Youtube $10,000 A Day On Youtube 00:00 Module 18: How To Grow With 288K Subscribers And 17,261,855 Youtube Views How To Grow With 288K Subscribers And 17,261,855 Youtube Views 00:00 Module 19: My 2019 Youtube Paycheck! How Much I Made On 1.3 Million Views + Secrets To Earn More Ad Revenue! My 2019 Youtube Paycheck! How Much I Made On 1.3 Million Views + Secrets To Earn More Ad Revenue! 00:00 Module 20: Easy Unique Content Idea Generation System For Bloggers And Youtubers Using Google Search Easy Unique Content Idea Generation System For Bloggers And Youtubers Using Google Search 00:00 Module 21: $53,802.38 Youtube Ad Revenue Earnings 2016 To 2019! See My Top 49 Videos! $53,802.38 Youtube Ad Revenue Earnings 2016 To 2019! See My Top 49 Videos! 00:00

Overview This comprehensive course on Data Structures Complete Course will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Structures Complete Course comes with accredited certification, 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 Data Structures Complete Course. It is available to all students, of all academic backgrounds. Requirements Our Data Structures Complete Course 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 Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 14 sections • 55 lectures • 09:02:00 total length •Module 01: Promo Video: 00:02:00 •Module 02: Data Structure Introduction: 00:05:00 •Module 03: Computational Complexity Analysis: 00:13:00 •Module 01: Static and Dynamic Arrays: 00:12:00 •Module 02: Dynamic Arrays Source Code: 00:07:00 •Module 01: Singly and Doubly Linked Lists: 00:15:00 •Module 02: Doubly Linked Lists Source Code: 00:10:00 •Module 01: Stack: 00:12:00 •Module 02: Stack Implementation: 00:04:00 •Module 03: Stack Source Code: 00:04:00 •Module 01: Queues (Part-1): 00:06:00 •Module 02: Queues (Part-2): 00:06:00 •Module 03: Queue Source Code: 00:04:00 •Module 01: Priority Queues (PQs) with an interlude on heaps: 00:13:00 •Module 02: Turning Min PQ into Max PQ: 00:06:00 •Module 03: Adding Elements to Binary Heap: 00:10:00 •Module 04: Removing Elements from Binary Heap: 00:14:00 •Module 05: Priority Queue Binary Heap Source Code: 00:16:00 •Module 01: Disjoint Set: 00:06:00 •Module 02: Kruskal's Algorithm: 00:06:00 •Module 03: Union and Find Operations: 00:11:00 •Module 04: Path Compression Union Find: 00:07:00 •Module 05: Union Find Source Code: 00:08:00 •Module 01: Binary Trees and Binary Search Trees (BST): 00:13:00 •Module 02: Inserting Element into a Binary Search Tree (BST): 00:06:00 •Module 03: Removing Element from a Binary Search Tree (BST): 00:14:00 •Module 04: Tree Traversals: 00:12:00 •Module 05: Binary Search Source Code: 00:13:00 •Module 01: Fenwick Tree Construction: 00:06:00 •Module 02: Point Updates: 00:06:00 •Module 03: Binary Indexed Tree: 00:14:00 •Module 04: Fenwick Tree Source Code: 00:06:00 •Module 01: Hash Table: 00:17:00 •Module 02: Separate Chaining: 00:08:00 •Module 03: Separate Chaining Source Code: 00:12:00 •Module 04: Open Addressing: 00:11:00 •Module 05: Linear Probing: 00:14:00 •Module 06: Quadratic Probing: 00:09:00 •Module 07: Double Hashing: 00:15:00 •Module 08: Removing Element Open Addressing: 00:08:00 •Module 09: Open Addressing Code: 00:15:00 •Module 01: Introduction: 00:03:00 •Module 02: The Longest Common Prefix (LCP) Array: 00:03:00 •Module 03: Using SA/LCP Array to Find Unique Substrings: 00:05:00 •Module 04: Longest Common Substring (LCS): 00:11:00 •Module 05: Longest Common Substring (LCS) Full Example: 00:07:00 •Module 06: Longest Repeated Substring (LRS): 00:05:00 •Module 01: Balanced Binary Search Trees (BBSTs): 00:09:00 •Module 02: Inserting Elements into an AVL Tree: 00:10:00 •Module 03: Removing an AVL Tree: 00:09:00 •Module 04: AVL Tree Source Code: 00:17:00 •Module 01: Indexed Priority Queue (Part-1): 00:25:00 •Module 02: Indexed Priority Queue Source Code: 00:09:00 •Module 01: Sparse Table: 00:26:00 •Module 02: Sparse Table Source Code: 00:07:00

This course Affiliate Marketing Business Essentials provides a comprehensive guide to setting up and running a successful affiliate marketing business. It covers essential topics such as Facebook organic strategies, identifying and targeting ideal buyers, building a brand, organic audience building, offer creation, and additional bonuses on FB group creation and email marketing. Learning Outcomes: Understand the process of setting up a successful affiliate marketing business. Identify and target the ideal buyers for your affiliate products. Build a brand and effectively use Facebook as a marketing platform. Create compelling offers and effectively present them to your audience. Learn strategies for organic audience building and lead generation on Facebook. Bonus learning: Create and grow a Facebook group to foster community engagement. Bonus learning: Utilize email marketing techniques, including broadcasting emails and setting up an autoresponder for better engagement. Why buy this Affiliate Marketing Business Essentials? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Affiliate Marketing Business Essentials there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Affiliate Marketing Business Essentials course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Affiliate Marketing Business Essentials does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Affiliate Marketing Business Essentials was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Affiliate Marketing Business Essentials is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Section 01 - Setup for success Unit 01: Facebook organic strategy funnel 00:05:00 Unit 02: Niche and product selection 00:03:00 Unit 03: Exclusive Access to affiliate program paying up to 80% commission 00:10:00 Unit 04: Invite to my private FB group 00:01:00 Section 02 - Identifying and targeting dream buyer Module 01: Customer Service Basics 00:15:00 Unit 02: Identify dream buyer 00:04:00 Unit 03: Targeting dream buyer 00:07:00 Section 03 - Building a brand Unit 01: Setting up FB profile 00:05:00 Unit 02: RVL content strategy 00:13:00 Unit 03: Content topics 00:03:00 Unit 04: FB algorithm 00:03:00 Section 03 - Building a brand Unit 01: Lead generation strategy 00:19:00 Unit 02: Sales script 00:18:00 Unit 03: Strategy session 00:27:00 Unit 04: 7 figure marketer phone call 00:56:00 Section 04 - FB organic audience building Unit 01: Lead generation strategy 00:19:00 Unit 02: Sales script 00:18:00 Unit 03: Strategy session 00:27:00 Unit 04: 7 figure marketer phone call 00:56:00 Section 05 - Offer creation Unit 01: Offer creation 00:06:00 Unit 02: Offer presentation 00:11:00 Unit 03: Daily action plan 00:03:00 BONUS1 - FB group creation Unit 01: FB group setup 00:09:00 Unit 02: Group growth 00:09:00 BONUS2 - Email Marketing Unit 01: Broadcasting emails 00:07:00 Unit 02: Email tips and tricks 00:05:00 Unit 03: Email autoresponder 00:01:00 Conclusion Unit 01: Deleting Inactive friends 00:01:00 Unit 02: Recap enrol 00:03:00

A Computer Maintenance Specialist keeps computers in a good state of repair. They may run diagnostic programs to determine the causes of and help to resolve problems. The Start Your Career as Web Developer - Complete Training course is designed for the people who want to pursue the lucrative career of computer maintenance specialists. Topics included in the course are the types of computer, computer basics, the anatomy of a PC, how a PC works, input and output devices, and more. In short, the course covers almost everything that you need to know about becoming a computer specialist. Why choose this course Earn an e-certificate upon successful completion. Accessible, informative modules taught by expert instructors Study in your own time, at your own pace, through your computer tablet or mobile device Benefit from instant feedback through mock exams and multiple-choice assessments Get 24/7 help or advice from our email and live chat teams Full Tutor Support on Weekdays 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 Mock exams Multiple-choice assessment 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. Course Content Introduction Introduction 00:03:00 How to Get Course requirements 00:02:00 Getting Started on Windows, Linux or Mac 00:02:00 How to ask a Great Questions 00:01:00 FAQ's 00:01:00 HTML Introduction HTML 00:05:00 Choosing Code Editor 00:06:00 Installing Code Editor (Sublime Text) 00:04:00 Overview of a Webpage 00:05:00 Structure of a Full HTML Webpage 00:07:00 First Hello World! Webpage 00:09:00 HTML Basic Heading tags 00:09:00 Paragraph 00:08:00 Formatting Text 00:12:00 List Items Unordered 00:05:00 Classes 00:09:00 IDs 00:06:00 Comments 00:04:00 HTML Intermediate Images 00:12:00 Forms 00:05:00 Marquee 00:06:00 Text area 00:06:00 Tables 00:06:00 Links 00:07:00 Navbar - Menu 00:04:00 HTML Entities 00:05:00 Div tag 00:06:00 Google Maps 00:07:00 HTML Advanced HTML Audio 00:07:00 HTML Video 00:05:00 Canvas 00:06:00 Iframes 00:05:00 Input Types 00:04:00 Input Attributes 00:06:00 Registration Form 00:04:00 Contact Us Form 00:10:00 Coding Exercise 00:01:00 Solution for Coding Exercise 00:01:00 JavaScript Introduction What is JavaScript 00:09:00 Hello World Program 00:06:00 Getting Output 00:11:00 Internal JavaScript 00:13:00 External JavaScript 00:09:00 Inline JavaScript 00:04:00 Async and defer 00:06:00 JavaScript Basics Variables 00:16:00 Data Types 00:11:00 Numbers 00:06:00 Strings 00:04:00 String Formatting 00:05:00 JavaScript Operators Arithmetic operators 00:03:00 Assignment operators 00:02:00 Comparison operators 00:05:00 Logical operators 00:06:00 JavaScript Conditional Statements If-else statement 00:05:00 If-else-if statement 00:04:00 JavaScript Control Flow Statements While loop 00:09:00 Do-while loop 00:04:00 For loop 00:15:00 Coding Exercise 00:01:00 Solution for Coding Exercise 00:01:00 JavaScript Functions Creating a Function 00:08:00 Function Call() 00:07:00 Function with parameters 00:05:00 JavaScript Error Handling Try-catch 00:05:00 Try-catch-finally 00:17:00 JavaScript Client-Side Validations On Submit Validation 00:09:00 Input Numeric Validation 00:12:00 PHP Introduction What is PHP 00:08:00 Installing XAMPP for PHP, MySQL and Apache 00:12:00 Installing Code Editor(Visual Studio Code) 00:07:00 Creating PHP Project on XAMPP 00:03:00 Hello World Program 00:06:00 PHP Basic Variables 00:16:00 Echo and Print 00:08:00 Data Types 00:11:00 Numbers 00:06:00 Boolean 00:04:00 Arrays 00:06:00 Multi-Dimensional Array 00:07:00 Sorting Arrays 00:04:00 Constants 00:05:00 PHP Strings Strings 00:04:00 String Formatting 00:05:00 String Methods 00:08:00 Coding Exercise 00:01:00 Solution for Coding Exercise 00:01:00 PHP Operators Arithmetic operators 00:03:00 Assignment operators 00:02:00 Comparison operators 00:05:00 Increment - decrement operators 00:03:00 Logical operators 00:06:00 Ternary operator 00:03:00 PHP Decision-Making System If statement 00:05:00 If-else statement 00:02:00 If-else-if-else statement 00:03:00 Switch-case statement 00:05:00 PHP Control Flow Statements Flow Chart 00:06:00 While loop 00:09:00 Do-while loop 00:03:00 For loop 00:15:00 Foreach loop 00:04:00 Coding Exercise 00:01:00 Solution for Coding Exercise 00:01:00 PHP Functions Creating a Function 00:08:00 Function with Arguments 00:08:00 Default Argument 00:03:00 Function return values 00:06:00 Call-by-value 00:02:00 Call-By-Reference 00:02:00 PHP Super Globals $_POST Method 00:06:00 $_GET Method 00:02:00 PHP Advanced Form Handling 00:08:00 Date and Time 00:08:00 Include 00:06:00 Require 00:02:00 Sessions 00:08:00 File Reading 00:02:00 File Upload 00:06:00 PHP Object-Oriented Programming[OOPs] What is OOP 00:03:00 Class and Objects 00:11:00 Constructor 00:04:00 Destructor 00:03:00 Access Modifiers 00:10:00 Inheritance 00:12:00 Method overriding 00:06:00 Abstract Class 00:03:00 Interface 00:08:00 PHP - MySQL Application [CRUD] MySQL Basic PhpMyAdmin 00:04:00 Creating Database and Table 00:07:00 Database Connection 00:05:00 PHP Form Create records 00:16:00 PHP Form Reading records 00:11:00 PHP Form Update Data 00:15:00 PHP Form Delete records 00:04:00 PHP Real-World Code Forms Registration Form 00:04:00 MD5 Algorithm for Encrypting 00:03:00 Sha Algorithm 00:02:00 Login Form 00:12:00 PHP Validations On Submit Validation 00:09:00 Input Numeric Validation 00:12:00 Login Form Validation 00:05:00 Form Server-side all Data Validation 00:06:00 Form Server-side Validation 00:06:00 PHP Error Handling Try-throw-catch 00:06:00 Try-throw-catch-finally 00:02:00 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.

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

Duration 4 Days 24 CPD hours This course is intended for This course is intended for: Developers Solutions Architects Data Engineers Anyone with little to no experience with ML and wants to learn about the ML pipeline using Amazon SageMaker Overview In this course, you will learn to: Select and justify the appropriate ML approach for a given business problem Use the ML pipeline to solve a specific business problem Train, evaluate, deploy, and tune an ML model using Amazon SageMaker Describe some of the best practices for designing scalable, cost-optimized, and secure ML pipelines in AWS Apply machine learning to a real-life business problem after the course is complete This course explores how to use the machine learning (ML) pipeline to solve a real business problem in a project-based learning environment. Students will learn about each phase of the pipeline from instructor presentations and demonstrations and then apply that knowledge to complete a project solving one of three business problems: fraud detection, recommendation engines, or flight delays. By the end of the course, students will have successfully built, trained, evaluated, tuned, and deployed an ML model using Amazon SageMaker that solves their selected business problem. Module 0: Introduction Pre-assessment Module 1: Introduction to Machine Learning and the ML Pipeline Overview of machine learning, including use cases, types of machine learning, and key concepts Overview of the ML pipeline Introduction to course projects and approach Module 2: Introduction to Amazon SageMaker Introduction to Amazon SageMaker Demo: Amazon SageMaker and Jupyter notebooks Hands-on: Amazon SageMaker and Jupyter notebooks Module 3: Problem Formulation Overview of problem formulation and deciding if ML is the right solution Converting a business problem into an ML problem Demo: Amazon SageMaker Ground Truth Hands-on: Amazon SageMaker Ground Truth Practice problem formulation Formulate problems for projects Module 4: Preprocessing Overview of data collection and integration, and techniques for data preprocessing and visualization Practice preprocessing Preprocess project data Class discussion about projects Module 5: Model Training Choosing the right algorithm Formatting and splitting your data for training Loss functions and gradient descent for improving your model Demo: Create a training job in Amazon SageMaker Module 6: Model Evaluation How to evaluate classification models How to evaluate regression models Practice model training and evaluation Train and evaluate project models Initial project presentations Module 7: Feature Engineering and Model Tuning Feature extraction, selection, creation, and transformation Hyperparameter tuning Demo: SageMaker hyperparameter optimization Practice feature engineering and model tuning Apply feature engineering and model tuning to projects Final project presentations Module 8: Deployment How to deploy, inference, and monitor your model on Amazon SageMaker Deploying ML at the edge Demo: Creating an Amazon SageMaker endpoint Post-assessment Course wrap-up Additional course details: Nexus Humans The Machine Learning Pipeline on AWS 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 The Machine Learning Pipeline on AWS 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.

Embarking on a journey into the digital realm? Dive deep into the vast ocean of web development with our course: 'Start Your Career as Web Developer - Complete Training'. This comprehensive programme unfolds the mysteries of HTML, revealing its foundational to advanced layers. As you delve further, JavaScript beckons, introducing you to its core elements, from basic operations to error handling. But that's not all. PHP emerges on the horizon, offering an exploration from rudimentary concepts to intricate object-oriented programming and real-world applications. Equip yourself with the essence of web development and illuminate the pathways of the digital world. Learning Outcomes Grasp the foundational to advanced principles of HTML. Understand and apply JavaScript concepts from introductory to advanced error handling techniques. Master PHP from its fundamental aspects to advanced object-oriented programming and database integration. Develop and implement web applications integrating PHP with MySQL. Implement client-side and server-side validations using JavaScript and PHP. Why choose this Start Your Career as Web Developer - Complete Training? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Start Your Career as Web Developer - Complete Training Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Who is this Start Your Career as Web Developer - Complete Training for? Aspiring web developers seeking a structured pathway into the field. Current web designers looking to expand their skills into development. IT students aiming to bolster their academic understanding with applied knowledge. Entrepreneurs aiming to manage or understand their website's backend. Tech enthusiasts with a curiosity about the workings of web development. Career path Web Developer: £28,000 - £50,000 Front-End Developer: £30,000 - £50,000 Back-End Developer: £35,000 - £55,000 Full Stack Developer: £40,000 - £60,000 PHP Developer: £30,000 - £52,000 JavaScript Developer: £35,000 - £57,000 Prerequisites This Start Your Career as Web Developer - Complete Training does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Start Your Career as Web Developer - Complete Training was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Introduction Introduction 00:03:00 How to Get Course requirements 00:02:00 Getting Started on Windows, Linux or Mac 00:02:00 How to ask Great Questions 00:01:00 FAQ's 00:01:00 HTML Introduction HTML 00:05:00 Choosing Code Editor 00:06:00 Installing Code Editor (Sublime Text) 00:04:00 Overview of a Webpage 00:05:00 Structure of a Full HTML Webpage 00:07:00 First Hello World! Webpage 00:09:00 HTML Basic Heading tags 00:09:00 Paragraph 00:08:00 Formatting Text 00:12:00 List Items Unordered 00:05:00 List Items Ordered 00:04:00 Classes 00:09:00 IDs 00:06:00 Comments 00:04:00 HTML Intermediate Images 00:12:00 Forms 00:05:00 Marquee 00:06:00 Text area 00:06:00 Tables 00:06:00 Links 00:07:00 Navbar - Menu 00:04:00 HTML Entities 00:05:00 Div tag 00:06:00 Google Maps 00:07:00 HTML Advanced HTML Audio 00:07:00 HTML Video 00:05:00 Canvas 00:06:00 Iframes 00:05:00 Input Types 00:04:00 Input Attributes 00:06:00 Registration Form 00:04:00 Contact Us Form 00:10:00 Coding Exercise 00:01:00 Solution for Coding Exercise 00:02:00 JavaScript Introduction What is JavaScript 00:09:00 Hello World Program 00:14:00 Getting Output 00:11:00 Internal JavaScript 00:13:00 External JavaScript 00:09:00 Inline JavaScript 00:04:00 Async and defer 00:06:00 JavaScript Basics Variables 00:13:00 Data Types 00:10:00 Numbers 00:06:00 Strings 00:07:00 String Formatting 00:05:00 JavaScript Operators Arithmetic operators 00:07:00 Assignment operators 00:03:00 Comparison operators 00:06:00 Logical operators 00:08:00 JavaScript Conditional Statements If-else statement 00:05:00 If-else-if statemen 00:04:00 JavaScript Control Flow Statements While loop 00:09:00 Do-while loop 00:03:00 For loop 00:08:00 Coding Exercise 00:02:00 Solution for Coding Exercise 00:02:00 JavaScript Functions Creating a Function 00:07:00 Function Call() 00:07:00 Function with parameters 00:05:00 JavaScript Error Handling Try-catch 00:05:00 Try-catch-finally 00:17:00 JavaScript Client-Side Validations On Submit Validation 00:09:00 Input Numeric Validation 00:12:00 PHP Introduction What is PHP 00:08:00 Installing XAMPP for PHP, MySQL and Apache 00:12:00 Installing Code Editor(Visual Studio Code) 00:07:00 Creating PHP Project on XAMPP 00:03:00 Hello World Program 00:06:00 PHP Basic Variables 00:16:00 Echo and Print 00:08:00 Data Types 00:11:00 Numbers 00:06:00 Boolean 00:04:00 Arrays 00:06:00 Multi-Dimensional Array 00:07:00 Sorting Arrays 00:04:00 Constants 00:05:00 PHP Strings Strings 00:04:00 String Formatting 00:05:00 String Methods 00:08:00 Coding Exercise 00:01:00 Solution for Coding Exercise 00:01:00 PHP Operators Arithmetic operators 00:03:00 Assignment operators 00:02:00 Comparison operators 00:05:00 Increment - decrement operators 00:03:00 Logical operators 00:06:00 Ternary operator 00:03:00 PHP Decision-making System If statement 00:05:00 If-else statement 00:02:00 If-else-if-else statement 00:03:00 Switch-case statement 00:05:00 PHP Control flow statements Flow Chart 00:06:00 While loop 00:09:00 Do-while loop 00:04:00 For loop 00:15:00 Foreach loop 00:04:00 Coding Exercise 00:01:00 Solution for Coding Exercise 00:01:00 PHP Functions Creating a Function 00:08:00 Function with Arguments 00:08:00 Default Argument 00:03:00 Function return values 00:06:00 Call-by-value 00:02:00 Call-by-reference 00:03:00 PHP Super globals $_POST Method 00:06:00 $_GET Method 00:02:00 PHP Advanced Form Handling 00:08:00 Date and Time 00:08:00 Include 00:06:00 Require 00:02:00 Sessions 00:08:00 File Reading 00:02:00 File Upload 00:06:00 PHP Object-oriented programming[OOPs] What is OOP 00:03:00 Class and Objects 00:11:00 Constructor 00:04:00 Destructor 00:03:00 Access Modifiers 00:10:00 Inheritance 00:12:00 Method overriding 00:06:00 Abstract Class 00:03:00 Interface 00:08:00 PHP - MySQL Application [CRUD] MySQL Basic PhpMyAdmin 00:04:00 Creating Database and Table 00:07:00 Database Connection 00:05:00 PHP Form Create records 00:16:00 PHP Form Reading records 00:11:00 PHP Form Update Data 00:15:00 PHP Form Delete record 00:04:00 PHP Real-world code forms Registration Form 00:04:00 MD5 Algorithm for Encrypting 00:03:00 Sha Algorithm 00:02:00 Login Form 00:12:00 PHP Validations On Submit Validation 00:09:00 Input Numeric Validation 00:12:00 Login Form Validation 00:05:00 Form Server-side all Data Validation 00:06:00 Form Server-side Validation 00:06:00 PHP Error handling Try-throw-catch 00:06:00 Try-throw-catch-finally 00:02:00

This comprehensive course will help you learn how to use the power of Python to evaluate your deep learning-based recommender system data sets based on user ratings and choices with a practical approach to building a deep learning-based recommender system by adopting a retrieval-based approach based on a two-tower model.

CPD Accredited | Career Oriented Learning Modules | 24x7 Tutor Support | Lifetime Access