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This guided project, Personalized Content Creation: Campaign Creation, is designed for marketers who want to master AI. In this project-based course, you will learn how to use suggestion engineering to synthesize data, create suggestion chains to create content specific to your goals, and how to use AI-generated content in a marketing campaign. To do this, we will work with customer survey results, synthesizing the data, creating a customer persona, a marketing email, and a social post. This project is a unique experience to dive into a use case you will encounter in the near future and develop your skills in the effective use of AI for marketing purposes. To successfully complete this project, you will need to have some understanding of marketing emails, Google Suite, and access to GPT Chat.

Take a look at artificial intelligence through philosophical and scientific fiction lenses, and review Python basics. Then explore AI algorithms through studying rational agents and common search algorithms like A* search. Complete short coding assignments in Python.

This course examines the various risks and issues associated with Generative AI, including business model risks, inaccuracies in AI-generated content, data security, and privacy concerns. The course highlights the importance of the CEO in understanding and addressing these risks. A significant portion of this course is dedicated to exploring the ethical implications of using GenAI. It highlights the importance of developing responsible AI principles and practices, helping CEOs create responsible AI ethical principles tailored specifically to their companies. The course also focuses on critical data security and privacy issues when using GenAI. The course concludes with an overview of the legal and regulatory landscape of GenAI, offering guidance on how to effectively navigate this landscape and ensure legal and regulatory compliance when using GenAI.

This is the first course of a six part specialization. You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones. This first course in the IBM AI Enterprise Workflow Certification specialization introduces you to the scope of the specialization and prerequisites. Specifically, the courses in this specialization are meant for practicing data scientists who are knowledgeable about probability, statistics, linear algebra, and Python tooling for data science and machine learning. A hypothetical streaming media company will be introduced as your new client. You will be introduced to the concept of design thinking, IBMs framework for organizing large enterprise AI projects. You will also be introduced to the basics of scientific thinking, because the quality that distinguishes a seasoned data scientist from a beginner is creative, scientific thinking. Finally you will start your work for the hypothetical media company by understanding the data they have, and by building a data ingestion pipeline using Python and Jupyter notebooks. By the end of this course you should be able to: - 1. Know the advantages of carrying out data science using a structured process - 2. Describe how the stages of design thinking correspond to the AI enterprise workflow - 3. Discuss several strategies used to prioritize business opportunities - 4. Explain where data science and data engineering have the most overlap in the AI workflow -5. Explain the purpose of testing in data ingestion - 6. Describe the use case for sparse matrices as a target destination for data ingestion - 7. Know the initial steps that can be taken towards automation of data ingestion pipelines Who should take this course? This course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises. If you are an aspiring Data Scientist, this course is NOT for you as you need real world expertise to benefit from the content of these courses. What skills should you have? It is assumed you have a solid understanding of the following topics prior to starting this course: Fundamental understanding of Linear Algebra; Understand sampling, probability theory, and probability distributions; Knowledge of descriptive and inferential statistical concepts; General understanding of machine learning techniques and best practices; Practiced understanding of Python and the packages commonly used in data science: NumPy, Pandas, matplotlib, scikit-learn; Familiarity with IBM Watson Studio; Familiarity with the design thinking process.

This project "AI Powered Content Creation with DALL-E: Visual SEO Strategy" is designed for marketing managers, web designers and content creators who want to develop their AI skills to up their SEO game and stay ahead in the ever-changing world of SEO and AI. In this project-based course, you will learn how to use DALL-E to create visually appealing images using an iterative suggestion approach, then optimize these AI-generated images for search engines, and finally align the images with specific SEO goals and content themes to integrate AI-generated visual content into blog posts. The result will improve both the aesthetic appeal of your content and its SEO effectiveness. To achieve this, we will complete a series of tasks, starting with learning how to use DALL-E to create basic AI-generated images, focusing on rapid design to create initial image concepts. You will gain insight into choosing suitable images for blogs, highlighting the importance of image properties for SEO. Master the use of suggestions in DALL-E to create images that yield high SEO results, paying special attention to SEO optimizations such as file sizes, formats, and alt text. Practice creating SEO-optimized images for a specific blog topic using DALL-E with basic SEO enhancements. Learn to embed SEO-optimized AI-generated images into blog posts, enhancing visual storytelling and improving SEO performance. Use ChatGPT to create a blog content plan that includes AI-generated images, aligning them with the blog narrative and SEO topics. Finally, you will apply all of the skills you have learned to create a blog post that includes multiple AI-generated images that are effectively optimized and integrated. Prerequisites: chat.openai.com - Paid ChatGPT4 Plus www.notion.so - Free Notion Account Students should understand basic SEO principles, including keyword usage, keyword research, meta tags, meta descriptions, and image optimization. Students should also understand the basics of artificial intelligence, including how to navigate and use ChatGPT to get answers.

In this course, we will explore the potential impact of GenAI on various aspects of business, with a focus on customer value creation and productivity. We will review research from leaders in academia and industry to gain new insights into the impact of GenAI on business. Imagine a future where GenAI not only drives business growth, but also changes the very structure of industrial operations. This is the transformative power of GenAI. Guest expert Robert Brenner (University of Illinois) will share his thoughts on what comes next and what implications it may have for business. From this foundation, we will build a foundation for developing your Generative AI strategy. You’ll begin putting the Business Model Canvas into practice in the Coursera Playground, a private environment where you can use the power of Large Language Models as a strategic partner. Prompts will guide you through the development of your GenAI strategy. This hands-on learning approach will enable you to develop an actionable generative AI strategy and deeply understand the power of generative AI as a thought partner. Finally, the course will provide you with examples of how Coursera has used genAI to drive customer value and productivity. You’ll learn about the teams we’ve used to respond quickly and the research that guides our work. These examples serve as the foundation for the work that follows to bring your new strategy to life.

The AI ​​software industry has long been a leader in the field of computer science and engineering, and has been working on AI for a long time. The AI ​​software industry has been working on AI for a long time, and TensorFlow in Practice This article is about a computer science project that uses TensorFlow to run on a computer. Machine Learning (ML) or Deep Learning Specialization (Programming language)」This article is about a computer science project that has been developed by the Chinese company TensorFlow for a long time. Deeplearning.ai is a professional computer scientist who specializes in TensorFlow in Practice The TensorFlow algorithm is used by software developers to analyze data and is currently under development by the Chinese government. The project is currently underway in the United States and Canada.

What is a course of microlearning by lively introduction to the field of AI generation, which is used and in which different traditional machine learning methods are used. Find out in Google tools that you can use to quickly download this Gen AI app.

Rapidly evolving landscape of generative artificial intelligence (AI) means that both novice and skilled users alike should be aware of the proper applications and challenges of these powerful tools. In “Generative AI: Fundamentals, Applications, and Challenges,” you’ll discuss the potential benefits, uses, and challenges of a variety of applications for generative AI. Explore the impact these tools could have on business, operations, consumers, society, and the environment. Aspects of the course also dive into the general risks associated with this technology, including issues such as copyright infringement, outdated data, malicious attack surfaces, bias, and more. By participating in this course, you'll gain a strong baseline of knowledge for generative AI, one that will allow you to explore further considerations about its impact on businesses and society.

The AI-102: Designing and Implementing a Microsoft Azure AI Solution certification exam tests the candidate’s experience and knowledge of the AI solutions that make the most of Azure Cognitive Services and Azure services. In addition, the exam also tests the candidate's ability to implement this knowledge by participating in all phases of AI solutions development—from defining requirements, and design to development, deployment, integration, maintenance, performance tuning, and monitoring. Take this Designing and Implementing a Microsoft Azure AI Solution: AI-102 exam and become a part of the futuristic world of Artificial Intelligence and grow your career by attaining Azure AI-102 certification. Azure AI engineers have experience developing solutions that use languages such as Python or C# and should be able to use REST-based APIs and software development kits (SDKs) to build secure image processing, video processing, natural language processing (NLP), knowledge mining, and conversational AI solutions on Azure. They should be familiar with all methods of implementing AI solutions. Plus, they understand the components that make up the Azure AI portfolio and the available data storage options. Azure AI engineers also need to understand and be able to apply responsible AI principles. This course contains 5+ hours of training videos. Learners could find a total of 90+ lectures in the training course with comprehensive coverage of all topics regarding the exam AI-102: Designing and Implementing a Microsoft Azure AI Solution. These lectures are divided into 5 Modules and each module is further split into lessons. The entire course includes Assessments to validate knowledge checks of learners. Also, a set of Graded Questions is available at the end of every module. - Module 1: Azure AI Solutions: Planning and Management - Module 2: Image & Video Processing Solutions - Module 3: Natural Language Processing (NLP) Solutions - Module 4: Knowledge Mining Solutions - Module 5: Conversational AI Solutions Enroll in Exam Prep AI-102: Microsoft Azure AI Engineer Associate Course and advance your Azure AI Solution Workload skills with Microsoft Azure. This training course helps you develop your skills and knowledge in AI-102. You can start with fundamental certifications such as the AI-900 exam. Once you gain command over all phases of AI solutions development, you are ready to start preparing for the AI-102 exam. This AI-102 course is mainly for those who need opportunities in various job roles such as Cloud Developers, Cloud Engineers, Solutions Architects, and Cloud Architects. By the end of this course, you will be able to pass the AI-102 exam on the first attempt and master Designing and Implementing a Microsoft Azure AI Solution.

Please buy this course don't see the enrolment numbers i promise you you will see the newest high quality lesson in here. The course is designed to provide a comprehensive overview of AI in both theory and practice with a focus on modern computational techniques for representing task-relevant information and making intelligent decisions> The course is 871 Minutes long and is conducted online. The program fee very low to earn the top newest education just one time. The course is aimed at software developers, data science professionals, and other professionals aiming to advance their technical AI skills, allowing them to solve more complex challenges and add more value to their organization. Participants who complete the program will be prepared to: - 1: Translate a problem from an English statement into something an AI-based system can understand - 2: also can program the (Self Driving Cars) - 3: how to build autonomous vehicles. The course also covers topics such as robot behavior planning, object motion models, robot motion planning - 4:and is designed to teach you how to optimize performance of self-driving car perception applications such as lane navigation and pedestrian detection. You’ll learn to build and train a semantic segmentation neural network to identify objects such as roads, pedestrians, and other vehicle - 5:Auto recognizing the dieses of human - 6: Modeling the computer to auto Cal cute the finance of large companies - 7: Auto Recognizing The pregnant women's baby is male/or/female and taking care of them Learn techniques that search for solutions in high-dimensional spaces, including randomized approaches to search. Formulate a problem as a set of constraints and an objective, and apply the most appropriate algorithms to find an efficient solution. Evaluate the implementation of recommender systems, search engines, personal assistants, and other AI technologies. Analyze common approaches for integrating human feedback into AI systems and next-level thinking around human-computer interactions. Evaluate the ethical and societal implications of the field of AI. All in One Place Please Help Us With Your Enrolment And Buying This Course It Mean You Are Donating For Me Please Donate Me

Are you tired of prompt engineering going in the same old direction? Well, buckle up, because we're about to take a wild ride in reverse! Welcome to the wacky world of Reverse Prompt Engineering! In this offbeat and innovative course, we flip the script and turn traditional prompt engineering on its head. No more following the same old patterns—let's break free from the constraints and think outside the box! Get ready to unleash your creativity and stretch your mental muscles like never before. Have you ever wondered how to turn answers into questions? Well, look no further because this course is here to unravel the secret art of thinking backwards. In this hilariously informative journey, we'll dive deep into the mystical realm of reversing prompts, where the questions tremble in fear and the answers tremble with anticipation. Buckle up as we explore the unconventional techniques that will leave you questioning the very nature of questions! Through interactive exercises, mind-bending puzzles, and lots of laughter, you'll learn to think like a reverse prompt pro. By the end of this course, you'll have the power to astonish your friends, confuse your enemies, and rewrite the rules of conversation. Don't miss out on this extraordinary adventure into the upside-down world of reverse prompt engineering. Join us now and discover the limitless possibilities of thinking in reverse!"