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Are you ready to demystify the world of artificial intelligence without getting tangled in complex code? Do you want to be empowered with the knowledge and skills to make the most of the rapidly expanding field of AI? Want to be prepared for this next digitized industrial revolution? Then unlock the future now, with our AI Made Accessible course! This course is designed for curious minds and non-techies alike, offering a friendly and accessible introduction to AI. Say goodbye to the fear and confusion surrounding this transformative technology. Our expert AI instructor, Dr Penny de Byl with her thirty-year depth of knowledge in this field, will guide you through the fundamentals, helping you harness the power of AI tools in your everyday life. In this course, you will learn - the breadth of the field of AI from genetic algorithms to image processing - the mechanics that make AI work including clear and easy-to-understand explanations as to what makes AI work - the similarities between AI structures and processing algorithms and how the human brain operates - how to talk to AI and devise prompts that get you the information you want - how AI can streamline your work practices and make you a more valuable employee - which business models are available to integrate AI to improve existing business practices - how AI can be used to analyze data and reveal new insights - about the ethical considerations surrounding the development and use of AI You will also obtain hands-on practice with - popular online AI tools including image generation, language processing, and video production - large language models (LLMs) and prompt engineering to generate the content you need - curating AI-generated content for your own purposes Get ready to embrace AI with confidence and turn it into a valuable ally. Join us and embark on a journey to discover the limitless possibilities of AI, making it work for you, not against you. What others are saying about Penny's courses: - Penny always sounds like a teacher that wants people to succeed, I am in my 40s and feel like a kid learning from her. I can say this about all her courses. She has the "it" factor of disseminating information and principles. - This course is absolute gold! I am a Software Engineering Teacher as well as a solo game developer, and of all the courses I have taken on Udemy, this is has been the most useful and eye opening by far. - 5 stars does no justice to this course!! I learned so much it's beyond anything I could've hoped for.

Topics: In this course we will study the new frontiers of artificial intelligence (AI) used in the 3D field for the creation of three-dimensional models. First part The course is aimed at everyone, as it is not necessary to have artistic modeling skills; the program used in a free version within everyone's reach will allow you to generate 3D objects with a strong visual impact useful in multiple fields, gaming, architectural, illustrative, advertising, medical, cultural historical, fashion, weapons, food and drink, nature and plants, sports, vehicles, furniture and furnishings, art, electronics and characters. In this course we will study how AI and text prompts are now able to generate three-dimensional shapes including classic or PBR materials for a variety of applications. We will learn how to download the generated files in different formats to our computer and how to integrate them into our favorite 3D programs or simply share them with friends and the social community. This AI is also able to create three-dimensional objects simply starting from 2D images, in a few minutes it will be possible to create a vast library of objects for our purposes. In addition to the 3D generation tools, we will study together how it is possible to create AI textures for our 3D models created in other programs, so that we can generate different versions of our model very quickly without long manual texturing sessions. We will also learn how to refine 3D models and their textures for sale. We will study a new program always Ai for the generation of 3D Models and their Animation including Automatic Rig, always managed through text prompts and artificial intelligence. This course opens the frontiers in the new 3D Ai and as we have seen for 2D the news and quality will increase rapidly over the next few months. In the second part of the course we will study another AI software MasterPiece X, dedicated to the creation of 3D models and their Rig and Automatic Animation. In the third part of the course we will study another AI 3D software Aily, dedicated to the creation and customization of 3D characters. In the fourth part of the course we will study another Luma Ai software dedicated to the creation of 3D AI models and their export, to be then imported into our favorite 3D programs. In the fifth part of the course we will use Miaxo a useful program for the rig and animations of characters to be imported later into our favorite 3D programs. In the sixth part of the course we will study the updates of Meshy 3.0 As always we try to have the broadest possible overview by illustrating more software dedicated to the topic. Note : Exercise files are attached to the lessons: - 217_MeshyAI Discover - 224BNuova Image to Prompt - 240_Masterpiece X Bonus Crediti - 246_3DAily Introduction - 254_Luma Presentation - 259_Mixao Presentation - 265_Preset Prompt Note: the video lessons were recorded in HD 1920 X 1080, udemy at its discretion can set them to 720 resolution, the more subscribers there are the more likely they will be set to the original resolution of 1920 X 1080. Note: We recommend viewing videos on Edge browser, please note that Google Chrome may experience interruptions, thank you. Note: It is recommended to view videos on Edge browser, we have noticed that interruptions may occur on Google Chrome , thank you.

Airtable is a cloud collaboration service that combines the features of databases and spreadsheets. In this 1.5 hour guided project, you will learn the basics of relational database and get up to speed with Airtable and create a project tracker. No prior experience is required. Although experience with spreadsheets is helpful. A free account with Airtable is required. Signing up before starting the class is recommended.

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you use convolutions to recognize features in an image where the subject can be anywhere in the image!

Improve your digital content creation skills with this two-hour, project-based course where you’ll use Jasper AI to create a professional product review for a pair of wireless noise-cancelling headphones. We’ll start by reviewing the product’s technical specifications and using Jasper AI to create a compelling headline. We’ll then continue the process by developing an outline and engaging introduction. Finally, we’ll detail the product’s features using Jasper AI features to complete a blog post and incorporate customer feedback to add depth to your review. By the end of this project, you’ll have a well-structured, compelling product review that demonstrates your ability to create high-quality content using Jasper AI. Note: This course is best suited for learners located in the North America region. We’re currently working to bring the same experience to other regions.

Practice TensorFlow Learn best practices for TensorFlow. We recommend taking Andrew Ng's "The Machine Learning" and "Deep Learning Specialization."

This lesson will introduce students to artificial intelligence (AI) and explain how large language models and generative AI tools like ChatGPT work. Explore the ethical implications of using AI, the implications of authorship, and how these tools may be used and regulated in the future. Generative AI has evolved rapidly over the past year, with demand for various AI tools such as chatbots and visual media generators growing. For example, ChatGPT was launched in November 2022 in an attempt to improve natural language processing tasks such as translation, text summarization, and text generation. Five days after its release, ChatGPT surpassed 1 million users. Within two months, it had surpassed 100 million users. Concerns are emerging about the ethical implications of using generative AI, especially in business and education. This Teach-Out brings together University of Michigan experts in communications technology, economics, artificial intelligence, natural language processing, health care, architecture, and law to discuss the impact of generative AI now and in the future. In this Teach-Out you will get answers to the following questions: - What is generative AI and how does it work? - What are the advantages and disadvantages of using generative AI? - What are the ethical and legal implications of using generative AI? - How have society, the economy and education responded to generative AI? - How can generative AI be integrated into society in the future? - How can students use generative AI in their lives? All content in this lesson is licensed under CC BY-SA, except for the course image.

In this course, we introduce AI and machine learning (ML) capabilities in Google Cloud that create generative and predictive AI projects. We will learn about the technologies, products and tools available across the entire AI data lifecycle, which includes the fundamentals of this technology, its development and solutions. The goal is to help data scientists, AI developers, and ML engineers advance skills and knowledge with engaging learning experiences and hands-on exercises.

This is a self-paced lab that takes place in the Google Cloud console. In this lab you analyze a large (137 million rows) natality dataset using Google BigQuery and Cloud Datalab. This lab is part of a series of labs on processing scientific data.

Incorporating machine learning into data pipelines increases the ability of companies to extract statistics from their data. In this course, we'll cover numerous ways to include machine learning in your Google Cloud data pipelines depending on the level of customization needed. For little or no customization, AutoML is covered in the course. For more tailored machine learning capabilities, the course introduces Notebooks and BigQuery Machine Learning (BigQuery ML). Additionally, this course covers how to bring machine learning solutions to production with Kubeflow. Students will gain hands-on experience building machine learning models on Google Cloud with Qwiklabs.

Many organizations with websites are using chatbots to engage with customers. While this strategy has proved profitable and efficient, there are ethical issues that can arise if users are unaware that their interaction is with an AI bot and not a human. This course will take the learner through the evolution of chatbots, so they are equipped with an appropriate sense of incremental improvements. Next, the course will guide the learners to recognize the ethical implications of chatbot usage from the perspectives of bias, fairness, data privacy, and consent. Through a blend of theory, real-world examples, and opportunities for thought and reflection, learners will examine the AI-powered world in which we live and prepare for the current and future ethical challenges they present. Upon completing this course, learners will confidently navigate complex ethical issues surrounding AI-powered chatbots; learners will be able to make meaningful choices in both their personal and professional lives when interacting with AI or choosing AI-powered business solutions. This program is designed for anyone interested in AI-powered chatbots and their ability to appraise their interactions with this technology. Learners should ideally possess the following prerequisite skills: basic technological proficiency; critical thinking; open-mindedness; and an active learning mindset.

This guided project course is part of the "Tensorflow for AI" series, and this series presents material that builds on the first course of DeepLearning.AI TensorFlow Developer Professional Certificate, which will help learners reinforce their skills and build more projects with Tensorflow. In this 1.5-hour long project-based course, you will discover convolutions, apply filters to images, apply pooling layers, and try out the convolution and pooling techniques on real images to learn about how convolutions work. At the end of the project, you will get a bonus deep learning project implemented with Tensorflow. By the end of this project, you will have learned how convolutions work and how to create convolutional layers to prepare for your own deep learning projects using convolutional neural networks. This class is for learners who want to use Python for building convolutional neural networks with TensorFlow, and for learners who are currently taking a basic deep learning course or have already finished a deep learning course and are searching for a knowledge-based course about convolutions in images with TensorFlow. Also, this project provides learners with needed knowledge about building convolutional neural networks and improves their skills in applying filters to images which helps them in fulfilling their career goals by adding this project to their portfolios.