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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.

Looking for an perfect job interview preparation? Searching in the web brings you only partial information? Congrats! You found what you are looking for! Do you have a job interview related to AI? If you can answer this question with a yes, you are in the absolute perfect place. This course provides you 3 different kinds of job interview preparation tests. As we have deep insides in different industries, we know exactly what matters contentwise. We made some surveys to find out what fields are connected to each other and on top of that we found out which topics are important. It is clear to everyone, that job interviews differ based on your experience. If you are a Senior AI Engineer you know exactly what matters. The practice tests in this course brings you up to date in the different topics covered in this course. Our focus is on the knowledge. The tests inlcudes questions from beginner level up to advanced level. We boost your know-how, not your behaviour in this course, as every job interview will be helt in a different way. But the content will be almost the same per knowledge area. As you now know what you can expect, lets go a bit deeper in the content of this course. The following big topics will challenge you: - Job Interview questions - Multiple Choice questions There are 4 practice tests: - Test 1: - 50 Questions First you will get asked General Interview questions which come up very often. The questions vary in difficulty and contentwise. - Test 2 - 100 Questions: The second part consists of Multiple Choice for general Job Interview questions which are designed to boost you knowledge even more. - Test 3 and 4 : - 100 Questions each- This test is about AI. You will get asked all kinds of questions related to different topics also about ChatGPT. This test contains questions and answers like the first test. The amount of questions are the start of this course, we will continously improve and enhance the practice tests. After you finished this course and its practice tests, you will be sure in knowledge and this will give you a boost in confidence. The most important step to land a job is being prepared for your interviews. By doing some preparation you'll feel more in control, and will appear cool, calm and confident. You will be able to fully concentrate on your behaviour – be aware to talk slow and clear, keep an eye on your body language and your facial expressions. With our course as preparation – you can trust in you , as we trust in you of course! To pass a test you need a passing score of 75% for the multiple choice tests and 100% for the job interview test. In the job interview test you have to select all ginven answers, the answers represent good answers if you get asked the given question. It is completely up to you which tests you go for as preparation for your job interview. The tests can be done independently from each other, which is really nice! We wish you a lot of gains in your knowledge and very much success in your next job interview! Please be aware that we are working on this course on an ongoing basis. We always want to deliver highest quality to you and we try our best to do so. If you find any issue let us know and we will correct it immediatelly :)

Would you like to learn how to Create Super-Fast and Amazing WordPress Websites using Elementor and manage their backend and development using 10Web web hosting to manage the Website's Security and Performance? Here in this course, you will learn how you can design responsive and amazing business and personal websites using Elementor Page Builder and 10Web's AI builder without any coding or programming knowledge. Even you don't need any WordPress Technical knowledge or any specific design knowledge to design these awesome Websites. Not only design but you will also learn how you can develop and manage the backend of these websites using 10Web hosting with any networking or programming knowledge very easy to make your websites super fast and secure with almost everything from SEO to Performance and Security with AI and Automation. If you are a Freelance Web Designer or a Web Design Agency owner or if you are looking to start a Web Design Business or your Freelance WordPress Web Design carrier, this course would help you with Managing Multiple Websites at one dashboard with automated backups and security options and not only that but you will get to know about Whitelabeling and branding options to help you be more professional secure and hassle-free because AI will be taking care of everything. You will learn: - How to create Responsive Websites using Elementor? - How to Clone Other Websites using AI Builder? - How to Convert HTML website into Elementor/WordPress? - How to use Free Pre-made Templates to design the website in minutes? - How to use the best themes to design websites? - How to add multiple functionalities to your websites? - How to make your website super-fast? - How to set up automatic backup and security on your website? - How to manage multiple clients and websites in a single dashboard? - How to manage multiple users and roles in a single dashboard? - How to build a team with Team Management Guide? - How to Hire Experts effectively? So, Enroll in the course right now and Learn How to use Elementor & 10Web's AI Builder to become an Expert No-code Web Designer!