144 Deep Learning courses delivered Online

Duration 1 Days 6 CPD hours This course is intended for The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don?t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful. This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. Prerequisites Prerequisite certification is not required before taking this course. Successful Azure AI Fundamental students start with some basic awareness of computing and internet concepts, and an interest in using Azure AI services. Specifically: Experience using computers and the internet. Interest in use cases for AI applications and machine learning models. A willingness to learn through hands-on exp... 1 - Fundamental AI Concepts Understand machine learning Understand computer vision Understand natural language processing Understand document intelligence and knowledge mining Understand generative AI Challenges and risks with AI Understand Responsible AI 2 - Fundamentals of machine learning What is machine learning? Types of machine learning Regression Binary classification Multiclass classification Clustering Deep learning Azure Machine Learning 3 - Fundamentals of Azure AI services AI services on the Azure platform Create Azure AI service resources Use Azure AI services Understand authentication for Azure AI services 4 - Fundamentals of Computer Vision Images and image processing Machine learning for computer vision Azure AI Vision 5 - Fundamentals of Facial Recognition Understand Face analysis Get started with Face analysis on Azure 6 - Fundamentals of optical character recognition Get started with Vision Studio on Azure 7 - Fundamentals of Text Analysis with the Language Service Understand Text Analytics Get started with text analysis 8 - Fundamentals of question answering with the Language Service Understand question answering Get started with the Language service and Azure Bot Service 9 - Fundamentals of conversational language understanding Describe conversational language understanding Get started with conversational language understanding in Azure 10 - Fundamentals of Azure AI Speech Understand speech recognition and synthesis Get started with speech on Azure 11 - Fundamentals of Azure AI Document Intelligence Explore capabilities of document intelligence Get started with receipt analysis on Azure 12 - Fundamentals of Knowledge Mining with Azure Cognitive Search What is Azure Cognitive Search? Identify elements of a search solution Use a skillset to define an enrichment pipeline Understand indexes Use an indexer to build an index Persist enriched data in a knowledge store Create an index in the Azure portal Query data in an Azure Cognitive Search index 13 - Fundamentals of Generative AI What is generative AI? Large language models What is Azure OpenAI? What are copilots? Improve generative AI responses with prompt engineering 14 - Fundamentals of Azure OpenAI Service What is generative AI Describe Azure OpenAI How to use Azure OpenAI Understand OpenAI's natural language capabilities Understand OpenAI code generation capabilities Understand OpenAI's image generation capabilities Describe Azure OpenAI's access and responsible AI policies 15 - Fundamentals of Responsible Generative AI Plan a responsible generative AI solution Identify potential harms Measure potential harms Mitigate potential harms Operate a responsible generative AI solution Additional course details: Nexus Humans AI-900T00 - Microsoft Azure AI Fundamentals 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 AI-900T00 - Microsoft Azure AI Fundamentals 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

This course is your guide to deep learning in Python with Keras. You will discover the Keras Python library for deep learning and learn how to use it to develop and evaluate deep learning models.

Step confidently into a rewarding UK career with our transformative "Python Bootcamp: JavaScript, HTML & CSS Coding" bundle. This bundle covers everything from honing your Python proficiency to crafting interactive web designs with HTML and CSS and developing dynamic applications using JavaScript. Uncover the secrets of Python's application in data science, machine learning, and neural networks. Establish a strong foundation in C# coding and exploring networking, GUI development, XML handling, and more. Delve into eight immersive CPD Accredited courses, each a standalone course: Course 01: The Complete Python 3 Course: Beginner to Advanced! Course 02: JavaScript for Everyone Course 03: HTML and CSS Coding: Beginner to Advanced Course 04: Basic C# Coding Course 05: Python Data Science with Numpy, Pandas and Matplotlib Course 06: Deep Learning & Neural Networks Python - Keras Course 07: Complete Python Machine Learning & Data Science Fundamentals Course 08: Python Programming Bible | Networking, GUI, Email, XML, CGI Our comprehensive Python Bootcamp: JavaScript, HTML & CSS Coding bundle ensure you're well-prepared for diverse tech challenges. Elevate your UK career prospects with hands-on learning and real-world applications. Embrace the "Python Bootcamp: JavaScript, HTML & CSS Coding" bundle for an all-encompassing skill set bound to make you a standout in the dynamic UK job landscape. Learning Outcomes Progress from beginner to advanced Python proficiency. Craft dynamic websites using HTML and CSS. Develop user-friendly web applications with JavaScript. Analyze data using Numpy, Pandas, and Matplotlib. Explore neural networks with Python's Keras. Gain practical machine learning expertise. Unleash your potential with our comprehensive Python Bootcamp: JavaScript, HTML & CSS Coding bundle that promises to transform your career trajectory. In the rapidly evolving tech landscape, Python proficiency stands as a cornerstone of success. From web development to data analysis and machine learning, Python is the language that opens doors to countless opportunities. Our Python Bootcamp: JavaScript, HTML & CSS Coding bundle ensures you learn and master Python, securing your place at the forefront of innovation. Harness the expertise of excellent instructors who unravel the complexities of Python in a relatable and engaging manner. Dive into dynamic web design, crafting seamless interfaces with HTML and CSS, and building interactive web applications using JavaScript.Take the plunge into deep learning, understanding the intricacies of neural networks through Python's Keras library. As you progress, embrace the fundamental principles of machine learning, propelling your career to new heights. The time to seize the moment is now. The "Python Bootcamp: JavaScript, HTML & CSS Coding" bundle equips you with indispensable skills, empowering you to stand out in a competitive job market. Whether a newcomer or a seasoned professional, this Python Bootcamp: JavaScript, HTML & CSS Coding bundle ensures you're ready to conquer challenges and grasp opportunities. Embrace the power of Python today, and let it shape a future of endless possibilities. CPD 80 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Beginners to advanced learners. HTML, CSS, and JavaScript skills. Master Python programming. Numpy, Pandas, and data science. Diverse tech skill acquisition. Deep learning and machine learning Requirements Without any formal requirements, you can delightfully enrol in this course. Career path Web Developer: £25,000 - £50,000 Python Programmer: £30,000 - £60,000 Data Analyst: £25,000 - £45,000 Front-End Developer: £25,000 - £50,000 UI/UX Designer: £30,000 - £50,000 Machine Learning Engineer: £40,000 - £70,000 Full-Stack Developer: £35,000 - £60,000 Certificates CPD Certificate Of Completion Digital certificate - Included 8 Digital Certificates Are Included With This Bundle CPD Quality Standard Hardcopy Certificate (FREE UK Delivery) Hard copy certificate - £9.99 Hardcopy Transcript - £9.99

This extensive course for beginners provides the basics of chatbots with machine learning, deep learning, AWS, and its applications, building it from scratch with hands-on practice for chatbot development. This course will help you learn basic to advanced mechanisms of developing chatbots using machine learning, deep learning, and AWS with Python.

Get involved in a learning adventure, mastering R from foundational basics to advanced techniques. This course is a gateway to the realm of data science. Explore statistical machine learning models and intricacies of deep learning and create interactive Shiny apps. Unleash the power of R and elevate your proficiency in data-driven decision-making.

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Courses Are Included In This Artificial Intelligence, Open AI & ChatGPT Bundle: Course 01: Project on Deep Learning - Artificial Neural Network Course 02: Deep Learning & Neural Networks Python - Keras Course 03: Machine Learning Basics Course 04: Hands on Machine Learning Project - Auto Image Captioning for Social Media Course 05: Statistics & Probability for Data Science & Machine Learning Course 06: Hands on Deep Learning Projects - Stock price Prognostics Course 07: Deep Learning Projects - Convolutional Neural Network Course 08: Deep Learning Projects - Handwritten Digit Recognition Using Neural Network Course 09: Essential Training on Deep Learning Heuristic using R Course 10: Project on Deep Learning - Artificial Neural Network Course 11: Machine Learning with Python Course Course 12: Python Data Science Course 13: Quick Data Science Approach from Scratch Course 14: Data Science & Machine Learning with R Training Course 15: Azure Machine Learning Course 16: A Beginner Crash Course on ChatGPT Course 17: ChatGPT Complete Guide with Expertise Course 18: ChatGPT Masterclass: A Complete ChatGPT Zero to Hero! 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Our expert trainers will assess your assignment and give you feedback after you submit the assignment. After passing the Artificial Intelligence, Open AI & ChatGPT exam You will be entitled to claim a PDF & Hardcopy certificate accredited by CPD Quality standards completely free. CPD 200 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Artificial Intelligence, Open AI & ChatGPT course is ideal for: Students seeking mastery in Artificial Intelligence, Open AI & ChatGPT Professionals seeking to enhance Artificial Intelligence, Open AI & ChatGPT skills Individuals looking for a Artificial Intelligence, Open AI & ChatGPT-related career. Anyone passionate about Artificial Intelligence, Open AI & ChatGPT Requirements This Artificial Intelligence, Open AI & ChatGPT doesn't require prior experience and is suitable for diverse learners. 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This comprehensive course will guide you to use the power of Python to evaluate recommender system datasets based on user ratings, user choices, music genres, categories of movies, and their years of release with a practical approach to build content-based and collaborative filtering techniques for recommender systems with hands-on experience.

Implement machine learning-based clustering and classification in Python for pattern recognition and data analysis

This course is a quick starter for anyone looking to delve into optical character recognition, image recognition, object detection, and object recognition using Python without having to deal with all the complexities and mathematics associated with a typical deep learning process.