Explore Courses

Welcome to the "Generative AI for .NET Developers with Google AI" course! Are you a .NET developer looking to harness the power of Generative AI in your applications without diving too deep into the complexities of Machine Learning and Data Science? If so, this course is tailor-made for you! In this comprehensive course, you'll discover how to seamlessly integrate Google's advanced Generative AI capabilities into your C# code through the Vertex AI API. Designed by a developer, for developers, no prior knowledge of Machine Learning (ML) or Data Science is needed. It focuses on practically, giving you just enough of the what and why, and then a lot of the how. Throughout the course, you'll gain a strong foundation in Generative AI, understand the mechanics of how generative AI generates new content, and explore the driving force behind it all—the Google Gemini and PaLM2 Large Language Models. You'll also learn the art of prompt engineering, using Vertex AI Studio, you will engineer prompts that yield impressive results tailored to your specific use cases. The core of the course focuses on practicality. You'll be guided through the process of seamlessly integrating the Google Vertex AI API into your .NET applications. And the best part? You'll build your very own generative AI application to practice your newly acquired Gen AI skills. Course Highlights: - Learn how to integrate the Google Vertex AI API into your C# code - Develop a GenAI Bot in C# with ASP .NET Core MVC - Understand the fundamental concepts of Generative AI from a Developer's perspective - Learn how to use Vertex AI Studio to design prompts - Learn about Prompt Engineering best practices - Understand how LLM model parameters affect creativity in responses Don't miss this unique opportunity to expand your .NET development toolkit with the creative possibilities of Generative AI. Enroll today and unlock a new dimension of software development!

Welcome to "Machine Learning: Modern Computer Vision & Generative AI," a cutting-edge course that explores the exciting realms of computer vision and generative artificial intelligence using the KerasCV library in Python. This course is designed for aspiring machine learning practitioners who wish to explore the fusion of image analysis and generative modeling in a streamlined and efficient manner. Course Highlights: KerasCV Library: We start by harnessing the power of the KerasCV library, which seamlessly integrates with popular deep learning backends like Tensorflow, PyTorch, and JAX. KerasCV simplifies the process of writing deep learning code, making it accessible and user-friendly. Image Classification: Gain proficiency in image classification techniques. Learn how to leverage pre-trained models with just one line of code, and discover the art of fine-tuning these models to suit your specific datasets and applications. Object Detection: Dive into the fascinating world of object detection. Master the art of using pre-trained models for object detection tasks with minimal effort. Moreover, explore the process of fine-tuning these models and learn how to create custom object detection datasets using the LabelImg GUI program. Generative AI with Stable Diffusion: Unleash the creative potential of generative artificial intelligence with Stable Diffusion, a powerful text-to-image model developed by Stability AI. Explore its capabilities in generating images from textual prompts and understand the advantages of KerasCV's implementation, such as XLA compilation and mixed precision support, which push the boundaries of generation speed and quality. Course Objectives: - Develop a strong foundation in modern computer vision techniques, including image classification and object detection. - Acquire hands-on experience in using pre-trained models and fine-tuning them for specific tasks. - Learn to create custom object detection datasets to tackle real-world problems effectively. - Unlock the world of generative AI with Stable Diffusion, enabling you to generate images from text with state-of-the-art speed and precision. - Enhance your machine learning skills and add valuable tools to your toolkit for various applications, from computer vision projects to generative art and content generation. Join us on this captivating journey into the realms of modern computer vision and generative AI. Whether you're a seasoned machine learning practitioner or just starting, this course will equip you with the knowledge and skills to tackle complex image analysis and creative AI projects with confidence. Explore the cutting-edge possibilities that KerasCV and Stable Diffusion offer, and bring your AI aspirations to life. Prerequisites: Basic knowledge of machine learning and Python programming. Familiarity with deep learning concepts is beneficial but not mandatory.

This is the course based on latest syllabus , by attending this course you will be gaining the fundamental knowledge on Artificial Intelligence. Even if you are planning to write the exam later then also you can go through this course it will help you to understand and clear your basic for AI. If you are looking to start your journey into the Azure then this course is for you too. You can start your journey into the cloud with Artificial Intelligence. There is no need to write any code. You need to understand the basics. You will be taught below Skills Measured Describe Artificial Intelligence workloads and considerations (15-20%) Identify features of common AI workloads · identify prediction/forecasting workloads · identify features of anomaly detection workloads · identify computer vision workloads · identify natural language processing or knowledge mining workloads · identify conversational AI workloads Identify guiding principles for responsible AI · describe considerations for fairness in an AI solution · describe considerations for reliability and safety in an AI solution · describe considerations for privacy and security in an AI solution · describe considerations for inclusiveness in an AI solution · describe considerations for transparency in an AI solution · describe considerations for accountability in an AI solution Describe fundamental principles of machine learning on Azure (30- 35%) Identify common machine learning types · identify regression machine learning scenarios · identify classification machine learning scenarios · identify clustering machine learning scenarios Describe core machine learning concepts · identify features and labels in a dataset for machine learning · describe how training and validation datasets are used in machine learning · describe how machine learning algorithms are used for model training · select and interpret model evaluation metrics for classification and regression Identify core tasks in creating a machine learning solution · describe common features of data ingestion and preparation · describe common features of feature selection and engineering · describe common features of model training and evaluation · describe common features of model deployment and management Describe capabilities of no-code machine learning with Azure Machine Learning: · automated Machine Learning tool · azure Machine Learning designer Describe features of computer vision workloads on Azure (15-20%) Identify common types of computer vision solution: · identify features of image classification solutions · identify features of object detection solutions · identify features of semantic segmentation solutions · identify features of optical character recognition solutions · identify features of facial detection, recognition, and analysis solutions Identify Azure tools and services for computer vision tasks · identify capabilities of the Computer Vision service · identify capabilities of the Custom Vision service · identify capabilities of the Face service · identify capabilities of the Form Recognizer service Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%) Identify features of common NLP Workload Scenarios · identify features and uses for key phrase extraction · identify features and uses for entity recognition · identify features and uses for sentiment analysis · identify features and uses for language modeling · identify features and uses for speech recognition and synthesis · identify features and uses for translation Identify Azure tools and services for NLP workloads · identify capabilities of the Text Analytics service · identify capabilities of the Language Understanding Intelligence Service (LUIS) · identify capabilities of the Speech service · identify capabilities of the Text Translator service Describe features of conversational AI workloads on Azure (15-20%) Identify common use cases for conversational AI · identify features and uses for webchat bots · identify features and uses for telephone voice menus · identify features and uses for personal digital assistants Identify Azure services for conversational AI · identify capabilities of the QnA Maker service · identify capabilities of the Bot Framework

How To Generate PASSIVE Income With Midjourney By Making and Selling AI Arts With Proven Methods WITHOUT Any Skills or Experience! (This works EVEN IF you’ve never created any AI Art before in your career, and never sold any digital product online.) Did you know that 40% of adults in America could not cover an unexpected $400 expense? The problem is that everyone is LYING to you about earning money online with AI Art and most don’t even know it! In this course you will gain: - PROVEN METHODS to GENERATE Passive Income: Simply create, sell, and make sales WHILE YOU SLEEP in 2024! - SECRET to effortlessly find the winning type of AI Art to sell on Etsy WITHOUT any creative skills! - AI Art Creation Process - #1 guide to creating the best images with the help of AI & making sales WHILE YOU SLEEP in 2024! - 8 FREE DOWNLOADS including EXTREMELY useful +35 Pages Digital Product E-book! - Midjourney Version 6.0 Guide, to learn how to use Midjourney from start to finish, including all of the recent versions 6.0, 5.2, and 5.1. - Etsy and Gumroad SEO to make your products stand out from the crowds and generate sales - And so much more! Now, what gives me, a single ounce of credibility to teach you this topic? From the beginning, I have been following this technology, and because of that, I have created more than 10000 graphics using artificial intelligence and published 4 best-rated courses about Midjourney. I have created over +100 different digital products online constantly earning passive income from it. I'm here to help you do the same but don’t just take my word for it! Read just a few of the student reviews for yourself... "I am very impressed with this course. This course holds your hand throughout the whole process. It goes over EVERYTHING. Once you are done, you will have everything you need and then some to make money with AI. I definitely recommend this course if you want to learn step by step. You’ll how exactly how to make money online. Very well thought out and I learned a lot. Very comprehensive. I loved this course I will be watching it over and over. One of the best courses I ever taken." - Leah S. "The course was amazing! It genuinely exceeded my expectations, Krystian wastes no time and get to the point very quickly while still managing to get all those extra but important tips in. I feel very confident after this course, I learnt some real life skills that I am already putting into practice. This course does exactly what is promised, thank you." - Julia Susan V. "The instructor's expertise and engaging teaching style make complex concepts easy to understand, with several ways to achieve your goals. This course is a must for anyone seeking financial freedom through passive income. Highly recommended!" - Sarea D. "I really learn a lot from this course. I feel totally confident to start a shop on Etsy with the tips given by the instructor. Thank you so much for providing such invaluable information. Your course was enjoyable to follow, the rhythm is good and the topic are in logical order" - Geni D. "Krystian is an excellent teacher! It is very professional and practical stuff from the beginning to the end of the material. If you're new to Etsy and familiarizing yourself with Midjourney, you'll definitely find it helpful. It was totally worth the investment for me, both in money and time!" - Peter V. 30-DAY GUARANTEE: If this course doesn’t meet your requirements, Udemy will refund your entire purchase within 30 days within minutes! You have nothing to lose and so much to gain! ADD TO CART now and get closer to a happier life than ever before. So what are you waiting for? Join our journey now and experience a thrilling adventure!

Nowadays, you may have heard of many keywords like Embedded AI /Embedded ML /Edge AI, the meaning behind them is the same, I.e. To make an AI algorithm or model run on embedded devices. Due to a massive gap between both technologies, techies don't know where to start with it. So we thought to share our engineer's experience with you via this course. We have created an application to recognize the fault of a motor based on the vibration pattern. An Edge AI node developed to perform the analysis on the data captured from the accelerometer sensor to recognize the fault. We have created detailed videos with animation to give our students an engaging experience while learning this stunning technology. We assure you will love this course after getting this hands-on experience. The Motivation behind this course One and half years back, It was surprising when techies heard of the embedded systems running standalone Deep learning model. We thought to design an application using this concept and share the same with you via this platform. How to start the course? There are two possible ways to start this course. We have divided this course into Conceptual Learning and Practical Learning. You can either jump directly to the Practical videos to keep the motivation to learn and later can go to fundamental concepts. Or you can start with the basic concepts first then can start building the application. What you will get after enrolling in the course 1. You will get Conceptual + Practical clarity on Embedded AI 2. After this course you will be able to build similar kind of applications in Embedded AI 3. You will get all the Python scripts and C code(stm32) for Data capturing ,Data Labeling and Inference. 4.You will be able to know in depth working behind the neural networks Note - All the concepts are interlinked to each other may not possible to cover in one video. For more conceptual clarity keep on watching videos till the end. The doubt you will get in any video may get clear in another video. We tried to explain the same concept iteratively in different ways to make you familiar with the terminology. If you have any question or doubt, at any point, please message us immediately. We are eagerly ready to help you out and will try to solve your doubt or problem asap.

Welcome to "AI Applications in Civil Engineering" Course! In the dynamic landscape of civil engineering, the integration of Artificial Intelligence (AI) is reshaping how we conceive, design, and build our infrastructure. This course serves as your gateway to the innovative intersection of AI and civil engineering, offering a comprehensive exploration of how cutting-edge technologies are transforming the way we approach construction, design, and maintenance. Course Overview: As we embark on this educational journey, we will delve into the fundamental concepts of AI and unravel its diverse applications within the realm of civil engineering. From revolutionizing structural design to optimizing resource allocation, our course will provide you with a holistic understanding of AI's impact on the various facets of civil engineering projects.

Hi guys, Welcome to Create Amazon KDP EBooks with AI Tools course. This is basically an extensive project based course where you will be fully guided step by step on how to create and publish high quality EBooks where you can build your sustainable passive income business from digital based products, the beauty of this business model is the fact that you only need to create it once however it can be sold many times. This course will concentrate mainly on how AI tools can significantly help you to speed up and optimize your EBook creation process starting from conducting market research, generating title and EBook main outline, generating content, all the way to designing beautiful EBook cover. In addition, this course will also come with a project where you will be shown how to utilize several different AI tools to create an EBook from scratch and full step by step tutorial on how to publish it on Amazon KDP. Before publishing the EBook you will also extensively learn how to ensure that your EBook is in compliance with Amazon KDP formatting requirements in order to prevent your EBook getting rejected after being published. Last but not least, you will also learn how to implement efficient marketing strategies to promote your EBooks, how to target the right audience, and generate more sales. First of all, before getting into the project, let’s ask ourselves this question: why should you start an Amazon KDP business? Well there might be many different answers available out there but my main answer is pretty simple, Amazon KDP has a huge marketplace with over 13.6 Millions traffic every month, therefore, due to the size of the marketplace, there are a lot of potentials that you can take advantage of and one of them is to utilize AI to create EBook in high demand niche and generate your passive income for the work that you only need to do once. The following question might be, if that’s too easy, does it mean that there are a lot of competitions and the market is oversaturated, well, it might be surprising but the answer is not, your success on Amazon KDP highly relies upon your creativity and ability to do market research to identify opportunities within the market. Below are things that you will learn in this course: - Learn how to conduct market research to identify high demand genre - Learn how identify your target audiences for your EBook - Learn how to generate title for your EBook using AI - Learn how to generate outline for your EBook using AI - Full step by step tutorial on how to create EBook forms scratch using several different AI tools - Learn how to comply with Amazon KDP formatting requirements - Learn how to create and design interesting EBook cover - Full step by step tutorial on how to self publish your EBook on Amazon KDP marketplace - Learn efficient marketing strategies to generate your Amazon KDP business more sales Lastly, as what most people said, the most effective way to learn is actually to learn by doing and that is exactly what you are going to get since this course also comes with a fully guided project where you will create an EBook from historical fiction and alternative history genre using several different AI tools and create the design for the EBook cover using AI text to image generator.

Welcome to "AI Driven Cybersecurity: Leveraging the power of ChatGPT and Generative AI." This course will guide you through the powerful combination of artificial intelligence and cybersecurity, highlighting what ChatGPT and Generative AI can do. We'll discuss the details of these technologies while emphasizing the importance of ethical use. Throughout the course, we will navigate the evolving landscape of AI-enhanced cybersecurity, focusing on both the opportunities and challenges that emerge. We'll address concerns about security, privacy, and risks. We'll also touch on rules and regulations, giving insights into the laws that govern artificial intelligence. To ensure a comprehensive understanding, we have incorporated real-world examples. These practical examples are tailored to give you firsthand experience, preparing you for real-world scenarios that you can demonstrate as you deploy this technology. As we move through the course, we'll share industry insights, ending with a discussion about Generative AI's impact on cybersecurity and the potential use of security co-pilots to enhance productivity and efficiency. Through this course, you'll not only grasp the basics of Generative AI but will also see its potential for personal and business growth. By the end, you will be equipped with the knowledge and tools to be at the forefront of AI-driven cybersecurity.

Welcome to "The Future is Now: Master Generative AI for Leaders," a cutting-edge course designed to equip business leaders with the knowledge and skills to harness the transformative power of generative AI. Whether you're a seasoned leader aiming to integrate AI into your organization or an emerging leader eager to understand the potential of AI, this course is tailored for you. About the Instructor: Hello, I'm Boomy Tokan, and I'm excited to guide you through this innovative journey. With a Master's degree in Social Entrepreneurship and over a decade as a Business Planning lecturer at City University, I bring a wealth of experience and practical knowledge. Over my 20 years as a business advisor, I've raised over £5 million in small funds for various ventures and mentored numerous entrepreneurs. My courses have reached over 280,000 students globally, with 8 million views on Quora, reflecting the impact of my insights and strategies. Course Overview: This course delves into the core concepts, applications, and strategic integration of generative AI, empowering leaders to leverage this technology for innovation and competitive advantage. Key Areas Covered: 1. Core Concepts of Generative AI: - Understanding the fundamentals of generative AI and its distinction from traditional AI. - Exploring key concepts such as data generation, learning patterns, and applications in various fields. 2. Applications in Business: - Marketing & Sales: Discover how AI can create personalized content, optimize advertising strategies, and enhance customer engagement. - Product Development & Innovation: Learn how AI accelerates design processes, generates prototypes, and fosters creative solutions. - Operations & Finance: Understand how AI improves data analysis, forecasting, risk management, and operational efficiency. 3. AI Integration Strategy: - Developing a strategic AI roadmap that aligns with your business goals. - Implementing AI projects with a phased approach, starting with pilot projects and scaling up based on success metrics. - Managing change effectively and fostering an AI-ready culture within your organization. 4. Ethical AI Deployment: - Addressing ethical considerations, such as bias, fairness, transparency, and data privacy. - Establishing frameworks and guidelines to ensure responsible AI use. Interactive Learning: Engage with practical exercises, real-world case studies, and interactive discussions to solidify your understanding and apply AI concepts to your context. Participate in quizzes and group activities that foster collaboration and practical application. Student Testimonials: Here's what some of our enthusiastic students have to say about my other courses: - Munalula L.: "This course has changed my perspective immediately. I now see the world through an entrepreneur's eyes. The content is actionable, and the instructor's logical approach makes it easy to understand." - Edie W.: "Turning ideas into action is a breeze with this instructor's guidance. The Business Model Canvas walk-through is an absolute gem." - Robert S.: "This course is a treasure trove of information. It's incredibly useful for anyone seeking advice. I've learned a lot and feel empowered." Tokan's course is a goldmine of information. It has empowered me to lead AI initiatives confidently in my organization." Visuals and Resources: Experience a visually engaging learning journey with high-quality images, and video content that enriches your understanding. Clear Benefits: By enrolling in this course, you will gain actionable skills to integrate generative AI into your leadership practice, enhancing your ability to drive innovation and achieve strategic goals. You will be equipped with the knowledge to navigate the complexities of AI, ensuring ethical deployment and fostering a culture of continuous improvement. Are You Ready? Join me on this transformative journey and unlock the potential of generative AI for your organization. Enroll now and let's embark on this exciting adventure together!

Harness the power of ChatGPT and OpenAI API to perform a variety of language tasks, including summarization, translation, chat completion, and categorization. This comprehensive course will guide you from beginner to expert, empowering you to leverage these cutting-edge tools for real-world applications. Key Course Takeaways: - Unravel the Fundamentals of OpenAI API: Delve into the intricacies of OpenAI API, understanding its architecture and mastering its capabilities for text generation. - Empower ChatGPT with OpenAI API: Seamlessly integrate ChatGPT with OpenAI API, enabling you to seamlessly interact with chatbots and execute code - Build Projects with ChatGPT, OpenAI API, and Google Cloud APIs: Embark on practical projects that showcase the power of these tools, including: 1. Summarization Tool: Automatically condense text documents into concise summaries. 2. Translation Tool: Bridge language barriers by translating text seamlessly 3. Chat Completion Tool: Enhance chatbot interactions with context-aware responses. 4. Categorization Tool: Automate sentiment analysis and classify text effectively 5. Food Calorie Counter: Analyze images to estimate food calories accurately. 6. Prompt Engineering: Generate captivating phone wallpapers from text descriptions. 7. Fine-Tuning GPT 3.5 Turbo Model: Unleash the full potential of GPT 3.5 Turbo Model with OpenAI API. 8. RAG (Retrieval Augmented Generation): Learn how AI Applications are architectured and how to use RAG Comprehensive Learning Experience: - Foundations of Transformers: Grasp the core concepts of Transformers, the revolutionary architecture behind ChatGPT. - OpenAI API Mastery: Develop a thorough understanding of OpenAI API, enabling you to perform complex language tasks with ease. - Practical Language Processing Applications: Master summarization, translation, chat completion, and categorization using ChatGPT and OpenAI API - Google Cloud API Integration: Leverage Google Cloud APIs, including Text-to-Speech, GPT4-Vision, and Image Generation, to enhance your projects. - Prompt Engineering Expertise: Command the art of prompt engineering, controlling ChatGPT's output for tailored results - API Cost Management: Understand and optimize API usage to minimize costs and maximize efficiency. - Project-Based Learning: Immerse yourself in hands-on projects, applying your knowledge to real-world scenarios, such as calorie counting, sentiment analysis, blog writing, phone wallpaper generation, and text summarization. Ideal for: - Developers seeking to harness ChatGPT and OpenAI API for language processing tasks. - Beginners with no prior experience in ChatGPT or OpenAI API. Prerequisites: - Basic Python programming knowledge - Computer with internet access - Access to a Unix terminal Enroll Now and Unleash the Power of Language Processing

If you are interested in a career in cybersecurity but don't know where to start, you've come to the right place! This course is part of a series of courses that provide a good starting point for a career in cybersecurity. It will help you gain knowledge and skills related to computers and operating systems, enterprise systems, and security, including the application of business systems. This course takes you one step closer to earning the Microsoft Cybersecurity Analyst professional certification, which does not require an advanced degree or previous experience. After completing this course, you will be able to: - Identify the various components of a computer system - Explain how the various components of a computer system interact with the operating system - Describe the fundamentals of cybersecurity - Describe the various business computing environments This is also a great way to prepare for the Microsoft SC-900 exam. By passing the SC-900 exam, you will receive the Microsoft Security, Compliance, and Identity Fundamentals certification.

The Health Care Tetralogy specialization is designed for anyone interested in health care organization as it is practiced in the United States. A wide range of health care organizations (e.g., medical, dental, pharmacy, and public health) are considered. This specialization is especially useful for anyone who works in health care and either: 1) has an interest in the issues important to the administration of health care organizations; or 2) has some experience but would like an overview or refresher on these issues. However, those who do not work in health care but who interact with health care organizations of any type as patients/consumers will also find this specialization useful. Over the specialization’s four courses, you will examine many aspects of health care organization operations, including the relationships between health care organizations and the health care system, as well as health care delivery, business process management, and quality improvement in health care organizations. Upon completion of the specialization, those who interact with health care organizations as patients/consumers will have a better understanding of the issues involved in effectively managing health care organizations and their operations. Those working in the healthcare sector will be able to contribute to the effective management of a healthcare organization upon completion of the specialization. Applied learning project The capstone project for each course requires students to critically synthesize course material to create a healthcare organization and present aspects of that organization to their peers. Each project is presented to their peers using a peer review feature, with each student evaluating the projects of two peers. The peer review feature was chosen because each project is presented from the perspective of the chief executive officer (CEO) of the organization. One skill that all CEOs need is the ability to present their thoughts and findings to others and expect their evaluation and feedback. Another skill that all CEOs need is the ability to critically evaluate the presentation, thinking, and findings of others. The communication/presentation format is different for each course and reflects the communication/presentation strategies that are important to healthcare CEOs.