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This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will use BigQuery for data processing and exploratory data analysis, and the Vertex AI platform to train and deploy a custom TensorFlow Regressor model to predict customer lifetime value (CLV). The goal of the lab is to introduce to Vertex AI through a high value real world use case - predictive CLV. Starting with a local BigQuery and TensorFlow workflow, you will progress toward training and deploying your model in the cloud with Vertex AI.

"Streamlined Project Management with Trello: AI Integration" is ideal for professionals keen on integrating AI with project management. In this 1-hour course, you'll learn to structure a Go-To-Market plan using AI tools in Trello, optimize project workflows, and create effective marketing strategies with ChatGPT and Atlassian Intelligence. The project involves practical tasks like building a GTM plan in Trello, using AI for content and planning, and implementing Trello automations. It’s unique in blending Trello's organizational prowess with advanced AI tools for a dynamic project management experience. To ensure successful participation in this project, learners will need: - Basic Understanding of Project Management Principles: Familiarity with fundamental concepts of Kanban project management, including task organisation, deadline management, and teamwork coordination. - Experience with Digital Marketing: Comfort with developing marketing strategies, familiarity with campaign planning, and understanding audience targeting. - Basic understanding of Trello: Prior experience with Trello’s interface will be beneficial. - Trello Standard or Trello Premium Subscription: This project requires features that are not available in the Trello Free Plan. - Access to ChatGPT: Ability to use ChatGPT for brainstorming and strategy development.

This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production. Learners will get hands-on practice using Vertex AI Feature Store's streaming ingestion at the SDK layer.

With the advent of Generative AI, data engineering processes have undergone amazing changes. In this course you will explore the impact of Generative AI on data engineering. As a data engineer, you will be able to use Generative AI to improve productivity by innovating ways to deliver projects. Data engineering is responsible for building powerful data pipelines, managing data infrastructure, and providing high-quality data insights. This course is suitable for existing and aspiring data engineers, data warehousing specialists and other data professionals such as data analysts, data scientists and BI analysts. You will learn how to use and apply generative models to solve problems such as architectural design, database querying, data warehouse design, data augmentation, data pipelines, ETL workflows, data analytics and mining, data lakes, and data warehouses. . You will also explore the challenges and ethical considerations associated with the use of Generative AI. Showcase your new Generative AI skills with a hands-on data engineering project that you can apply in your real life. Then take the final test to receive your certificate. You will be able to tell your current or future employers about your project and certificate.

Discover the fascinating world of human physiology and learn about the body's organ systems, their functions, and how they support health. In this comprehensive course, you will: - Master key concepts of human physiology and homeostasis - Explore the nervous, endocrine, cardiovascular, respiratory, and urinary systems - Explore the roles of the senses, muscles, gastrointestinal tract, and reproductive system - Apply knowledge to real-world situations and medical conditions This course is ideal for students, healthcare professionals, and anyone interested in human physiology and biology, building on a basic understanding of human anatomy. This course is great for MCAT preparation or continuing education for healthcare professionals. As a bonus, you'll be able to enhance your learning with a unique immersive virtual reality (VR) experience, available on both VR and desktop platforms, that will take you on an incredible journey inside the human body. This course offers a fun way to learn and understand complex physiological concepts as you virtually shrink in size as you move through blood vessels and then return to normal size to measure your blood pressure. The course comes to life as an educational adventure.

Amazon CodeWhisperer is an artificial intelligence (AI) coding assistant that can generate code suggestions in real time based on your comments and your existing code set. CodeWhisperer, running in a variety of Integrated Development Environments (IDEs), helps you reduce the time it takes to complete coding tasks and create more secure code. Additionally, CodeWhisperer helps you create projects faster when using the Amazon Web Services (AWS) API. In this course you will learn about the benefits and technical concepts of CodeWhisperer. If you're new to the service, you'll learn how to get started interacting with CodeWhisperer through Visual Studio Code, JetBrains PyCharm, and AWS Lambda. You'll also learn how built-in functions can help you optimize your coding.

Welcome to The Future of Copywriting: Creating Ad Copy & Video with AI course. This is a comprehensive project based course where you will be guided step by step on how to create high quality and compelling ad copies and ad videos for Google Ads, Facebook Ads, Instagram Ads, Tiktok Ads, and Youtube Ads utilising AI text to ads generator. This course will give you a whole new perspective about the future of copywriting and you will be fascinated by how far AI has advanced in the past few years to the point where you can automate copywriting works using AI and save a lot of your time and energy. The course will concentrate mainly on three different aspects, the first one is how AI can be utilised to convert text to ad copies, the second one is how AI can be utilised to convert text to ad videos, and the third one is how to monetise your copywriting skills and potentially turn it into a sustainable business. In the introduction session, you will learn about which part of the ad creation process can be automated and sped up by AI, then followed by getting to know more about criteria of successful ad copies and videos, such as value proposition and emotional appeal. Afterward, you will also learn how to design compelling CTA or calls to action using interactive and action oriented language. Once you learned all necessary basics about automating copywriting using AI, the course will be continued by entering the main section which is a full step by step tutorial on how to create ad copies for Google Ads, Facebook Ads, and Instagram Ads as well as create ad videos for Youtube Ads and Tiktok Ads. In that section, you will utilise variety of AI tools, such as ChatGPT, Copy AI, Write Sonic, Write Cream, Snazzy AI for generating ad copies, Kreateable and Magic Brief for generating ad images, also InVideo, Steve AI, and Deep Brain for generating ad videos. At the end of the course, you will also learn several strategies that you can implement to monetise your copywriting skills like starting a social media marketing agency and selling fully customisable ad copy templates. First of all, before getting into the course, we need to ask ourselves this question, why should we learn to automate copywriting using AI. Well, let’s talk about the copywriting perspective first, as the market moves toward the digital economy, more and more businesses are selling their products online and in order to increase their sales, obviously, they need high quality ad copies that will convince their potential customers to purchase their product. Therefore, the demand for copywriters in today’s market has also increased significantly. Meanwhile, if we are talking from AI perspective, anything can be easily automated using AI nowadays and that included copywriting, can you imagine how long it will take to create ad copies or ad videos, well it might take a while since you need to come up with creative ideas, then integrate those ideas with the market trends, as well as create the ad copies and videos from scratch, however, AI can generate you the ad copy and ad video in less than a minute, all you need to do is simply just tell AI about the product that you are selling. Therefore, you will be able to save a lot of your time and energy which will enable you to focus on other things that are actually more relevant. Below are things that you can expect to learn from this course: - Learn how AI can be utilised to automate copywriting, such as generating ad copies, ad images, and ad videos - Getting to know several criteria of successful and converting ad copy such as value proposition, emotional appeal, and scarcity - Learn how to design compelling CTA or Call to Action - Learn how to create ad copy for Google Ads using ChatGPT, Copy AI, Write Sonic, and Write Cream - Learn how to create ad copy and ad image for Facebook & Instagram Ads using Snazzy AI, Kreateable, and Magic Brief - Learn how to create ad video for Tiktok & Youtube Ads using Invideo, Steve AI, and Deep Brain - Learn how to monetise your copywriting skills and get to know several copywriting business models like starting social media marketing agency and selling customisable ad copy templates

Hey There! Give a moment of your thought to following questions. - Want to automate your Home? - Want to control your Home Electronics remotely? - Want to build Android Apps for doing your simple tasks? - Want to build your own JARVIS AI Assistant? That can do your biding for you just like in movies. - Are you inspired by the cool technology used in the movies? - Do you love the AI Assistant used in spy and superhero movies? If your answer to all of these questions is a big "YESSS!", then this course is right for you and you are in the right place. After completion of this course, you will learn: - Learn basics of Arduino - How to convert your Home into a Smart Home? - Learn Basic to Intermediate level python. - How to build chat-bots? - How to build an AI Assistant? - How to transform your Computer into JARVIS? - How to make the Computer do your work? - How to control your Home Electronics using JARVIS from your Computer? - How to build Android Apps easily without any complex programming logics? - How to build a Switch App to Control your Home from Smart Phone? - How to build a Voice Recognition App to Control your Home from Smart Phone? Note: If you have any questions related to the course then ask them away in the Discussion Section below. I believe that "One must get knowledge whenever he is given the opportunity." Knowledge must be shared as It is our sacred duty. Till next time, Happy learning!

Welcome to these practice tests for the AI-900 Microsoft Azure AI Fundamentals! This set of practice tests will help you to practice and learn concepts quickly with questions asked in the actual exam certification. The questions are updated monthly. About the Microsoft Azure AI Fundamentals certification Candidates for this exam should have the foundational knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services. This exam is an opportunity to demonstrate knowledge of common ML and AI workloads and how to implement them on Azure. This exam is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience are not required; however, some general programming knowledge or experience would be beneficial. Why Microsoft azure AI? Microsoft's market share in cloud services has increased exponentially in the last couple of years and many enterprises have started their journey on the cloud. Hence, not only coveted, but Azure certifications are very well respected certifications in the job market too. Topics covered in these practice exams - Describe AI workloads and considerations (15-20%) - Describe fundamental principles of machine learning on Azure (30-35%) - Describe features of computer vision workloads on Azure (15-20%) - Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%) - Describe features of conversational AI workloads on Azure (15-20%)

In this course, you will dive into the fundamentals of AI and its applications in software development. You will learn about the various AI techniques and algorithms that are commonly used in the field, such as machine learning, natural language processing, computer vision, and deep learning. Through hands-on projects and coding exercises, you will gain practical experience in implementing AI algorithms and integrating them into software applications. One of the key aspects of this course is understanding how AI can enhance software development processes. You will explore how AI can automate repetitive tasks, improve code quality, and optimize software performance. Additionally, you will learn about AI-driven testing and debugging techniques that can help identify and fix software bugs more efficiently. As part of the course, you will also explore the ethical considerations and challenges associated with AI in software development. You will discuss topics such as bias in AI algorithms, privacy concerns, and the responsible use of AI in software applications. By the end of the course, you will have a solid foundation in AI concepts and how they can be applied to software development. You will be able to leverage AI-powered platforms and tools to create innovative software applications that can analyze data, understand natural language, recognize images, and make intelligent decisions. Whether you're interested in building AI-powered applications from scratch or integrating AI capabilities into existing software projects, this course will provide you with the necessary skills and knowledge to succeed in the rapidly evolving field of AI-driven software development.

Looking to take your business to the next level with Stunning Graphic Designs? Look no further than the all-new AI-Powered Canva course - the ultimate course for anyone looking to create beautiful designs with ease. In this comprehensive course, you'll learn everything you need to know about Canva, from the absolute basics to the most advanced features. Whether you're a complete beginner or an experienced designer, this course is designed to help you become a Canva pro in no time. With over 17+ hands-on projects included, you'll have plenty of opportunities to practice your skills and create stunning designs for your business. From creating Social Media Graphics to promotional materials and presentations, this course covers it all. What sets this course apart is our focus on real-world applications for businesses. We understand that as an SME business owner, you don't have time to waste on complicated design software. That's why I've designed this course with your needs in mind, so you can create professional-looking designs quickly and easily. And with the power of AI at your fingertips, you'll be able to create stunning designs that are sure to impress your customers and clients.

[FREE] Deep Learning Pro: Advanced AI Interview Prep Dive into the advanced realm of AI with our meticulously crafted course, "[FREE] Deep Learning Pro: Advanced AI Interview Prep." This course is a wellspring of deep learning insights, offering over 100 in-depth questions and answers to prepare you for high-caliber tech interviews. Why Choose Our Course? - Comprehensive Coverage: Grasp complex deep learning concepts without getting lost in technical jargon. No advanced degree necessary – just a keen interest in AI. - Interview-Focused Learning: Stand out in interviews with top tech companies by mastering intricate AI topics that give you a competitive edge. - Practical Learning Approach: Benefit from real-world examples and clear explanations that enhance your understanding and retention of deep learning concepts. - Collaborative Learning Community: Join a vibrant community of learners and experts, fostering peer learning and professional growth. Course Outcomes: - Deep Learning Expertise: Develop a profound understanding of deep learning, bolstering your credibility for AI-centric roles. - Operational Knowledge of Neural Networks: Enhance your problem-solving prowess with hands-on knowledge of how neural networks function. - Confident Discussion of AI Principles: Gain the ability to discuss deep learning principles confidently with potential employers. - Advanced AI Insight: Lay the groundwork for ongoing career advancement with insights into the latest advancements in AI. Ideal For: - Aspiring AI Experts: Tailored for those aspiring to excel in AI job interviews and eager to make a mark in the field. - Clear & Concise Learning Enthusiasts: Perfect for individuals seeking a straightforward and focused deep learning education. - Tech Professionals in Transition: A gateway for professionals pivoting into the tech world, aiming to make a significant impact with AI skills. - Career Integrators: For anyone driven to infuse AI expertise into their career, transforming curiosity into professional excellence. Ready to Advance in AI? Enroll now in "[FREE] Deep Learning Pro: Advanced AI Interview Prep." Transform your curiosity into expertise and position yourself as the AI expert that leading tech firms are searching for. Who This Course Is For: This course is a beacon for tech professionals looking to transition into AI, offering the essential deep learning interview knowledge needed to elevate your career.