15160 AI courses

This course first equips you with the fundamentals of Python and then progresses to teach you how to use various libraries such as NumPy, Pandas, Seaborn, Bokeh, and so on. This course contains several mini projects so that, by the end of this course, you will be equipped with the essential tools you need to become a visualization expert.

Who is this course for? Twinmotion Training Course. The Twinmotion course is designed for architects, interior designers and urban planners. Learn how to create architectural visualizations and real-time animations. Students interested in exploring the world of architectural rendering and visualization using Twinmotion software. Click here for more info: Website Duration: 10 hours Approach: 1-on-1 training with tailored content. Schedule: Book a time that suits you, Mon to Sat, from 9 am to 7 pm, and create your own schedule. Course Outline for Twinmotion Real-time 3D Architecture Visualization: Module 1: Twinmotion Introduction Explore the real-time 3D visualization capabilities of Twinmotion Master efficient scene manipulation through the Twinmotion interface Prepare 3D files for import and manage the workflow effectively Module 2: Materials and Realism Enhancement Enhance scenes with realistic materials and elevate visual quality Utilize videos as materials and apply glowing effects Create grunge materials to add texture and realism Employ the X-ray material for specific visualization needs Module 3: Landscape and Vegetation Integration Integrate vegetation using Twinmotion's scatter, HQ trees, and growth features Customize grass and utilize HQ vegetation assets for realistic landscapes Create time-lapse effects for dynamic vegetation growth Module 4: Library and Object Management Access the Twinmotion library for furniture and objects Seamlessly import external 3D objects into your scenes Obtain high-quality 3D assets from the internet and add them to your user library Utilize BIM-objects for additional assets Module 5: Lighting and Animation Techniques Work with various lighting options, including area light and volumetric light, to enhance scenes Add animated characters and vehicles to infuse dynamism into your visuals Incorporate construction vehicles and aircraft for realistic scenes Module 6: Volumes and Interactive Elements Utilize volumes and the animator feature to create dynamic scenes Implement urban elements and measurement tools for precision and accuracy Module 7: Nature and Weather Effects Utilization Harness Twinmotion's nature features, such as physical sky and weather effects, to create lifelike outdoor scenes Establish realistic lighting for outdoor environments Add ocean effects to enhance water elements in your scenes Module 8: Advanced Rendering Techniques Master rendering processes, from creating images to exporting panoramas and animations Implement depth of field improvements to create visually captivating scenes Create BIM motion virtual reality phases for immersive experiences Utilize the Twinmotion presenter feature for seamless presentations Module 9: Final Project Apply acquired knowledge and skills to complete a final rendering project in Twinmotion Download Twinmotion https://www.twinmotion.com â€º download Learn how to download and install Twinmotion, the fast, easy real-time archvis tool. Learning Outcomes of Real-Time Rendering: Efficient Scene Creation: Rapid development of immersive 3D environments using essential tools and techniques. Realistic Material Application: Expertise in applying authentic textures and shaders for visually convincing scenes. Dynamic Lighting: Understanding dynamic lighting effects for visually compelling, realistic scenes. Interactive Elements: Integration of animations and dynamic objects for engaging user experiences. Performance Optimization: Optimizing assets and scenes for smooth real-time rendering across diverse hardware. Library Utilization: Efficient use of asset libraries to enhance scene complexity without compromising performance. Visual Effects: Application of weather conditions, particle systems, and post-processing effects for stunning environments. Collaborative Rendering: Mastering real-time collaborative rendering techniques for teamwork and live interactions. Future Trends in Real-Time Rendering: Ray Tracing Advancements: Real-time ray tracing for realistic lighting, shadows, and reflections. AI-Powered Rendering: AI-driven predictive rendering for faster, high-quality outcomes. Immersive Experiences: Real-time rendering enabling immersive simulations in gaming, education, and architecture. Cross-Platform Compatibility: Seamless experiences across devices, from gaming consoles to VR headsets. Blockchain Integration: Blockchain tech ensuring asset authenticity and ownership verification. Real-Time Cinematography: Revolutionizing film and animation with efficient real-time visual effects. Environmental Sustainability: Focus on energy-efficient algorithms for reduced environmental impact. Collaborative Design: Real-time rendering facilitating interactive design reviews and creative collaboration. Twinmotion Course: Expertise in Real-Time Visualization: Develop mastery in Twinmotion, enabling the creation of captivating architectural environments in real-time. Improved Design Communication: Enhance concept communication by utilizing dynamic visualizations, elevating the quality of design presentations. Access to High-Quality Assets: Utilize an extensive library of premium assets to enrich scenes, adding realism and creativity to your projects. Crafting Lifelike Environments: Learn to create realistic landscapes, water effects, weather conditions, and special effects, providing immersive and lifelike experiences. Flexible Learning Options: Choose between in-person or live online sessions, ensuring a personalized and convenient learning experience tailored to your needs. Lifetime Access and Support: Benefit from perpetual access to lesson recordings and receive continuous support through lifetime email assistance, allowing you to stay connected with knowledgeable instructors for ongoing guidance. Course Advantages: Mastery of Real-Time Visualization: Acquire expertise in Twinmotion for creating captivating architectural environments. Enhanced Design Communication: Improve concept communication through dynamic visualizations, elevating design presentations. Abundant High-Quality Assets: Utilize an extensive library of top-notch assets, enriching scenes with realism and creativity. Creation of Lifelike Environments: Craft realistic landscapes, water effects, weather conditions, and special effects for immersive experiences. Flexible Learning Options: Choose between in-person or live online sessions, ensuring a personalized and convenient learning experience. Lifetime Access and Support: Enjoy perpetual access to lesson recordings and receive continuous support through lifetime email assistance, staying connected with knowledgeable instructors.

Unleash the Power of ChatGPT: Your Complete Guide to Expertise Embark on a captivating journey into the realm of artificial intelligence with our 'ChatGPT Complete Guide with Expertise.' This course isn't just an exploration; it's a profound odyssey that unveils the foundation, role, and significance of ChatGPT. From statistical verification to understanding the tools that complement ChatGPT, every unit is a key to unlocking the potential of this revolutionary technology. Delve into the drawbacks and limitations, demystifying the enigma surrounding ChatGPT. Wondering about its applicability? Unit 10 and 11 unravel how ChatGPT can elevate digital marketing and revolutionize e-commerce. But it doesn't stop there-explore its benefits for business, uncovering its potential for entrepreneurs. Through case studies and interactive units, witness the prowess of ChatGPT, gaining expertise that extends beyond the ordinary. Learning Outcomes Establish a robust foundation in the principles of ChatGPT. Comprehend the diverse roles and significance of ChatGPT in the digital landscape. Explore tools that enhance and amplify the capabilities of ChatGPT. Evaluate the statistical verification and understand the limitations of ChatGPT. Uncover the practical applications of ChatGPT in digital marketing, e-commerce, and business. Why choose this ChatGPT Complete Guide with Expertise course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the 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. Unlock career resources for CV improvement, interview readiness, and job success. Who is this ChatGPT Complete Guide with Expertise course for? Enthusiasts eager to understand the foundations of ChatGPT. Digital marketers looking to leverage ChatGPT for enhanced strategies. Business owners seeking innovative solutions for customer engagement. Students exploring the realms of artificial intelligence and chatbots. Entrepreneurs interested in the practical applications of ChatGPT. Career path AI Solutions Architect: £60,000 - £90,000 Digital Marketing Strategist: £45,000 - £70,000 Chatbot Developer: £40,000 - £60,000 E-commerce Innovator: £50,000 - £75,000 Business Intelligence Analyst: £45,000 - £65,000 AI Consultant: £55,000 - £80,000 Prerequisites This ChatGPT Complete Guide with Expertise does not require you to have any prior qualifications or experience. You can just enrol and start learning.This ChatGPT Complete Guide with Expertise 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 ChatGPT Complete Guide with Expertise Unit 01: Introduction 00:02:00 Unit 02: Foundation of ChatGPT 00:04:00 Unit 03: Role of ChatGPT 00:04:00 Unit 04: Tools to Use with ChatGPT 00:04:00 Unit 05: Statistical Verification of ChatGPT 00:05:00 Unit 06: Drawbacks/Limitations of ChatGPT 00:05:00 Unit 07: Significance of ChatGPT 00:03:00 Unit 08: Is ChatGPT Capable of Generating Pictures? 00:04:00 Unit 09: How OpenAI is Associated with ChatGPT? 00:06:00 Unit 10: How can ChatGPT Contribute to Digital Marketing? 00:05:00 Unit 11: How can ChatGPT Contribute to E-Commerce? 00:05:00 Unit 12: Will ChatGPT be Beneficial for Business People? 00:04:00 Unit 13: Pros of Using ChatBots 00:05:00 Unit 14: Use of Various ChatBots in Daily Life 00:06:00 Unit 15: Case Study on ChatGPT Expertise 00:03:00

Building and Scaling a Data Science Culture As your data and AI teams scale from one to thousands of employees, you will encounter roadblocks along the way. From handling messy data to productionization and customer adoption, these obstacles can delay or even derail otherwise strong teams. Drawing on experiences gleaned from hundreds of clients, Michael Li presents a framework that successful companies have embraced to build and scale their data teams. The talk goes over how organizations progress along three maturity curves: Analytical, Operational, and Organizational. As enterprises strive to move along each of these maturity curves, they must solve various organizational challenges and develop new capabilities and skills in order to become data-driven organizations. We will provide key takeaways for managers and executives for each step of the maturity curves. 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.

Building and Scaling a Data Science Culture As your data and AI teams scale from one to thousands of employees, you will encounter roadblocks along the way. From handling messy data to productionization and customer adoption, these obstacles can delay or even derail otherwise strong teams. Drawing on experiences gleaned from hundreds of clients, Michael Li presents a framework that successful companies have embraced to build and scale their data teams. The talk goes over how organizations progress along three maturity curves: Analytical, Operational, and Organizational. As enterprises strive to move along each of these maturity curves, they must solve various organizational challenges and develop new capabilities and skills in order to become data-driven organizations. We will provide key takeaways for managers and executives for each step of the maturity curves. 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.

An online or onsite Camtasia course covering the major aspects of the software.

In this self-paced course, you will learn how to use TensorFlow 2 to build convolutional neural networks (CNNs). You will learn how to apply CNNs to several practical image recognition datasets and learn about techniques that help improve performance, such as batch normalization, data augmentation, and transfer learning.

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

Register on the Digital Banking today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion. The Digital Banking course is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! Why Choose this Course? Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Mock exams Multiple-choice assessment Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Course Content Story of Digital Banking -- An overview section Introduction 00:02:00 Moving from Traditional Banking to New-gen Banking Moving from Traditional Banking to New-gen Banking 00:08:00 Proliferation of Internet Banking, Mobile Banking and 'direct Banking' concept Proliferation of Internet Banking, Mobile Banking and 'direct Banking' concept 00:07:00 Use of Social media in Banking and arrival of Fintech Firms Use of Social media in Banking and arrival of Fintech Firms 00:09:00 Innovative technologies IOT, AI, ML, Block-chain,, Big data etc Innovative technologies IOT, AI, ML, Blockchain,, Big data etc 00:10:00 Illustrative 'CIO Wishlist' to complement or enable comprehensive digital Bank Illustrative 'CIO Wishlist' to complement or enable comprehensive digital Bank 00:11:00 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.

Get started with Neural networks and understand the underlying concepts of Neural Networks, Convolutional Neural Networks, and Recurrent Neural Networks. This hands-on course will help you understand deep learning in detail with no prior coding or programming experience required.