Course Overview Launch a successful career in the ICT industry with this complete introductory training course. The Understanding ICT: Information and Communication Technology course will teach you everything you need to know to kickstart a promising career in the ICT industry. It covers key topics such as computer systems, networks and databases, hardware and software, and input devices. You will also explore how ICT is applied in the banking and retail sectors, and delve into the world of artificial intelligence. This course is ideal for anyone looking to start a career in this field, including aspiring ICT technicians, data business analysts and service desk engineers. There are no specific entry requirements for this course, which can be studied on a part-time or full-time basis. This best selling Understanding ICT: Information and Communication Technology has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Understanding ICT: Information and Communication Technology is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Understanding ICT: Information and Communication Technology is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Understanding ICT: Information and Communication Technology is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Understanding ICT: Information and Communication Technology, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Understanding ICT: Information and Communication Technology will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Understanding ICT: Information and Communication Technology to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device. Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.
Reinventing Project Management Now! Projects are taking up a more and more prominent role within organizations and the economy as a whole. Simultaneously, the skill set demanded of project management professionals is changing, too. Recently, Gartner claimed that 80% of today's project management tasks will be eliminated by 2030 as Artificial Intelligence takes over. This statistic alone is an indicator that the project management profession will undergo profound changes in the next decade, if not earlier, and we should see this as a call for action to redefine the future of our profession. This session, founded upon some of the latest research conducted in collaboration with HBR, will explore the challenges that the project management profession is facing both from a methodological point of view, as well as the disruptions that are already impacting us, such as AI, robots, and blockchain. If we act now, project management will become one of the most sought-after competencies by organizations in the new world. Understand the disruption that the project management profession is about to face Learn new and simpler project management concepts that will help us become the profession of the future Understand the skills and competencies needed to be successful in the project economy This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs.
Artificial neural networks (ANNs) are the most powerful machine learning algorithms available today. They are capable of learning complex relationships in data, and they have been used to achieve state-of-the-art results in a wide variety of fields, including image recognition, natural language processing, and speech recognition. The Future of Machine Learning is Here! This Project on Deep Learning - Artificial Neural Network course will teach you how to build and train ANNs from scratch. You will learn about the different components of an ANN, such as the input layer, hidden layers, and output layer. You will also learn about the different activation functions that can be used in ANNs, and you will see how to optimise ANNs for different tasks. In addition to the theoretical concepts, you will also get experience with ANNs. You will work on a project where you will build an ANN to classify images. You will use the TensorFlow library to build your ANN, and you will see how to train your ANN on a dataset of images. By the end of this Project on Deep Learning - Artificial Neural Network course, you will have a deep understanding of ANNs and how to use them. You will be able to build your own ANNs to solve a variety of problems. You will also be able to use the TensorFlow library to build and train ANNs. So what are you waiting for? Enrol in this course today and start learning about the future of machine learning! Learning Outcomes: Through this comprehensive course, you should be able to: Understand the fundamental concepts of deep learning and artificial neural networks. Install and configure an artificial neural network framework. Preprocess and structure data for optimal model performance. Encode data effectively for neural network training and predictions. Build and deploy artificial neural networks for real-world applications. Address data imbalance challenges and optimise model accuracy. Who is this course for? This Project on Deep Learning - Artificial Neural Network course is ideal for: Data scientists and machine learning practitioners seeking to expand their knowledge. Software engineers interested in leveraging deep learning techniques. Students pursuing a career in artificial intelligence and machine learning. Professionals looking to enhance their skills in neural network development. Individuals with a passion for exploring advanced machine learning techniques. Career Path Our course will prepare you for a range of careers, including: Deep Learning Engineer: £40,000 - £100,000 per year. Machine Learning Researcher: £45,000 - £120,000 per year. Data Scientist: £50,000 - £110,000 per year. Artificial Intelligence Specialist: £55,000 - £130,000 per year. Software Engineer (specialising in AI): £45,000 - £100,000 per year. Research Scientist (Machine Learning): £50,000 - £120,000 per year. AI Consultant: £60,000 - £150,000 per year. Certification After studying the course materials of the Project on Deep Learning - Artificial Neural Network (ANNs) 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. Prerequisites This Project on Deep Learning - Artificial Neural Network (ANNs) does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Project on Deep Learning - Artificial Neural Network (ANNs) 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. Course Curriculum Section 01: Introduction Introduction of Project 00:03:00 Section 02: ANN Installation Setup Environment for ANN 00:11:00 ANN Installation 00:09:00 Section 03: Data Preprocessing Import Libraries and Data Preprocessing 00:11:00 Data Preprocessing 00:07:00 Data Preprocessing Continue 00:10:00 Section 04: Data Encoding Data Exploration 00:10:00 Encoding 00:07:00 Encoding Continue 00:06:00 Preparation of Dataset for Training 00:04:00 Section 05: Steps to Build ANN Steps to Build ANN Part 1 00:06:00 Steps to Build ANN Part 2 00:06:00 Steps to Build ANN Part 3 00:06:00 Steps to Build ANN Part 4 00:09:00 Section 06: Predictions and Imbalance-Learn Predictions 00:11:00 Predictions Continue 00:08:00 Resampling Data with Imbalance-Learn 00:09:00 Resampling Data with Imbalance-Learn Continue 00:08:00
The complete guide to creating your own Pose Estimation apps: Learn the full workflow and get up to speed with developing 5 AI apps
Career Agility in a Changing World A host of global issues such as the growth of artificial intelligence and automation are causing workers in every industry to ask the same question: ""Will my job exist tomorrow?""Workers today need to be equipped with a broad set of skills so they can adapt to an ever-evolving landscape. This session will explore Agile's broad applicability to the world of work and the increasingly influential role it will play across the business spectrum, as well as how practitioners can set themselves apart by embarking on an Agile journey that equips them with the mindset and tools they need to succeed. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies. Fractions of PDUs may also be reported. The smallest increment of a PDU that can be reported is 0.25. This means that if you spent 15 minutes participating in a qualifying PDU activity, you may report 0.25 PDU. If you spend 30 minutes in a qualifying PDU activity, you may report 0.50 PDU.
Re-imaging the World´s Economic Data Remember the "Kodak Moment?' It was a term in photography popularized by Kodak to capture important moments. Well, right now there is a Kodak Moment going on in healthcare information sciences. It is associated with the attribute-based data structures that are the basis for the revolution in genetic diagnostics, clinical risk management, and personalized medicine. It is also the foundation and source of the advances in Big Data and Artificial Intelligence in healthcare. In this session, you will learn about a new innovation in business information management called the Locus Model and a new type of business information system called the Functional Information System (FIS). These important innovations have the potential to impact all data management in business, finance, and economics by introducing a universal standard that can unify the disparate systems in disparate countries that we currently use to classify and organize business, finance, products or job information. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies.
Re-imaging the World´s Economic Data Remember the "Kodak Moment?' It was a term in photography popularized by Kodak to capture important moments. Well, right now there is a Kodak Moment going on in healthcare information sciences. It is associated with the attribute-based data structures that are the basis for the revolution in genetic diagnostics, clinical risk management, and personalized medicine. It is also the foundation and source of the advances in Big Data and Artificial Intelligence in healthcare. In this session, you will learn about a new innovation in business information management called the Locus Model and a new type of business information system called the Functional Information System (FIS). These important innovations have the potential to impact all data management in business, finance, and economics by introducing a universal standard that can unify the disparate systems in disparate countries that we currently use to classify and organize business, finance, products or job information. This and other IIL Learning in Minutes presentations qualify for PDUs. Some titles, such as Agile-related topics may qualify for other continuing education credits such as SEUs, or CEUs. Each professional development activity yields one PDU for one hour spent engaged in the activity. Some limitations apply and can be found in the Ways to Earn PDUs section that discusses PDU activities and associated policies.
Let's learn the basic concepts for developing chatbots with machine learning models. This compact course will help you learn to use the power of Python to evaluate your chatbot datasets based on conversational notes, online resources, and websites. Garner hands-on practice in text generation with Python for chatbot development.
Are you focusing on e-commerce or your organization's digital transformation? If you aren't, you could be putting the future of your company at risk. Actively upgrading along with the rest of the world not only gives you a competitive edge, it retains the customers and clients you already have. Yet it is easy for some companies to not realize they are being left behind and to not fully grasp the ways that not staying up to date can cost them opportunities for growth or survival. This video clearly outlines the challenges that organizations face when they fail to keep up with the digital transformation. It is great for stakeholders and upper management. Length: 5:00 Learning Objectives Evaluate the significance of digital transformation for organizations and their long-term viability. Analyze the impact of maintaining a digital presence on consumer connections and the potential consequences of being perceived as outdated and irrelevant.;Examine the competitive advantages that digital technology offers in today's market and explore how digital transformation can position a company to compete effectively and respond to evolving consumer preferences, ultimately influencing business success.;Measure the role of Artificial Intelligence and Big Data in collecting and harnessing valuable consumer data.;Recognize the limitations and challenges organizations face when operating without digital analytics and how it can impact their ability to stay competitive and relevant in the market.
This comprehensive course will help you learn the basics to advanced mechanisms of chatbot development using deep learning with Python. This course is a complete package for beginners to learn chatbot fundamentals with deep learning and its applications and build it from scratch using deep learning (RNNs) with Python.