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Would you like to know how you can use generative AI to visualize your creative concepts faster and better? Then you've come to the right place! I'll show you how to integrate the latest AI tools from Adobe Photoshop and Firefly into your workflow. This also includes the new features of the 2024 update! Artificial intelligence has experienced a huge boom in recent years and has been implemented in many of the software we use every day. The use of AI holds great potential, especially for creatives, as it offers us completely new opportunities to work faster, better and more accurately if you know how to use it correctly. I'll show you how to understand and apply the AI functions in Adobe Photoshop so that you can use it in your own workflow. It doesn't matter if you're just starting out in image editing or if you've been at it for a few years. This course should be for everyone. I will use practical examples to show you the wide range of possible applications and encourage you to experiment for yourself. This is what you get in this course: - easy-to-understand video tutorials and examples - Premium support for all your questions - New videos for Adobe Photoshop CC updates

Welcome to the immersive journey of the "Salesforce Certified AI Associate Exam Practice Tests" course, designed to elevate your expertise in harnessing the power of Artificial Intelligence (AI) within Salesforce CRM. In this comprehensive course, delve into the intricate realms of AI principles and applications, specifically tailored for Salesforce professionals seeking certification advancement. Through meticulously crafted modules and hands-on exercises, you'll navigate the multifaceted landscape of AI integration within the Salesforce ecosystem. Experience an unparalleled learning adventure where theory meets practicality. Explore the ethical considerations, data quality essentials, and AI capabilities that define cutting-edge CRM solutions. Engage with curated materials designed to fortify your understanding of CRM AI, enabling you to differentiate between various AI types and their impact on Salesforce operations. Immerse yourself in the complexities of AI-driven customer relationship management, mastering customer segmentation, sentiment analysis, and predictive analytics techniques. Gain proficiency in leveraging AI to streamline sales forecasting, automate workflows, and bolster customer service strategies. Our course doesn't just prepare you for the Salesforce Certified AI Associate Exam; it empowers you to revolutionize CRM practices. With expert guidance and real-world scenarios, you'll confidently navigate the exam's challenges, armed with a robust understanding of AI's transformative potential within Salesforce. Join us on this transformative learning expedition, where AI meets CRM excellence. Elevate your skills, unlock the true potential of Salesforce AI, and emerge ready to conquer the complexities of the AI Associate Exam with finesse and expertise. Your journey to AI mastery within Salesforce starts here!

Learn How to Leverage AI Tools to Increase Profits. The Ai Designer Course Helps Interior Designers & Architects Integrate Ai Tools In their Business & Workflow So they Can Make More Money, Save More Time, and Build A More Sustainable Business. In this comprehensive course, you'll learn not only how to create captivating designs but also how to integrate AI applications into your business and existing design tools. Save time, maximize profits, and boost your cash flow, all while staying ahead of industry trends. Inside The Course You'll Learn: - Leverage AI Image Generation Tools: Focuses on using tools like Midjourney for creating realistic portfolios based on specific styles and client niches. - Develop Your Productized Services: Discusses creating service packages for streamlined sales, like consultations and design concepts. - Use Text Generation Tools: Highlights using ChatGPT for refining marketing copy and content creation. - Design Your Workflow: Outlines steps from client onboarding to project completion, emphasizing consistency in service delivery. - App Integration: Covers integrating AI tools with existing design software for enhanced functionality. - AI Interior Design Business Models: Explores various business models leveraging AI, like the ChatGPT/Midjourney Designer, Portfolio Designer, Mood Board Designer, and others. - Best Practices: Suggests ethical guidelines and strategies for brand authenticity and client communication. - Benefits of Using AI: Emphasizes increased efficiency, quality, and new revenue streams from AI integration. - The Future of AI in Interior Design: Discusses the evolving role of AI, potential market disruptions, and opportunities for designers.

This is a complete course on how to do SEO (search engine optimisation) for beginners. In this training you’ll learn everything you need to know to rank a site on top of search engines. It doesn’t matter if you’re just getting started with SEO. This is a complete step-by-step, over the shoulder, training course that will help you learn and master SEO This SEO training course will teach you: ► What is SEO and why it is important ► How to create an SEO strategy with traffic monetization in mind ► SEO vs Paid Advertisements ► The principles of SEO ► How to acquire clients ► How to do On-page SEO ► How to do Off-page SEO ► What is Technical SEO ► SEO Keyword Research ► Practical SEO site setup ► SEO Link Building ► Anchor Text Best Practices ► White Hat SEO ► Penalties and how to avoid them ► How to optimize a page for targeted keywords This is a full course on how to do SEO from A to Z. I cover every single aspect of SEO in this in-depth course. By completing this course, you should be able to understand what SEO is, how you can leverage it to grow your business, how to use it as a long term marketing strategy.

You’re not just interested in making money. You’re also interested in making a difference in the world. Put your career and your business on a path to success by learning science-based strategies for achieving sustainable social impact: Profit with Purpose. This specialization was designed to give you the tools and strategies you need to create measurable social impact around the world—whether your impact goal is creating jobs, reducing malnutrition, expanding access to clean, affordable housing, or making a difference in some other way. In these four courses, taught by renowned Wharton professors, you’ll learn to apply effective business strategies to solve real-world problems through a deep understanding of the global practices and trends shaping the world today. By the end of this specialization, you’ll be able to: - ● Lead, invest and make business decisions aimed at social impact - ● Analyze global trend information to make more informed strategic business decisions - ● Understand the role of corruption in society to make more effective business decisions - ● Develop, launch, test and scale entrepreneurial projects with high potential for significant positive social impact Applied learning project Attendees will discover the tools and strategies needed to lead, invest, and make business decisions for social impact, analyze global trends to make strategic business decisions, understand how corruption impacts society, and design, launch, test, and scale entrepreneurial projects for social impact. These courses will help you create better business strategies that drive positive social change.

This specialization develops a strong programming foundation for those who want to solve complex problems by writing computer programs. Over four courses, you will learn to systematically design algorithms and read and write C code to implement them. This will prepare you for a career in software development or other computing fields. Successful completion of this specialization will be viewed by the admissions committee as a demonstration of your excellence and will enhance your application for admission to a graduate program at Duke's Pratt School of Engineering. Applied learning project Projects include writing a sorting algorithm and writing a program that uses Monte Carlo simulation to calculate the probabilities of poker hands. The poker project is divided into three courses, so you can write more complex parts of the program as you gain more advanced skills.

Imagine yourself as a digital guardian, a cyber sentinel at the frontlines of Google Cloud security, safeguarding valuable assets from the world of cybercrime. This certificate program is your training ground, a thrilling mix of expert-led courses and immersive Google Cloud challenges through interactive labs. You'll analyze threats, build defenses, and complete a final mission that'll impress future employers. Grab your cape, hero-in-training, this is where your journey into the exciting realm of Cloud Cybersecurity begins!

Get ready to dive into the world of Machine Learning (ML) using Python! This course is for you, whether you want to advance your career in Data Science or start learning Machine Learning and Deep Learning. This course will start with a light introduction to Machine Learning and what it is all about, covering topics like supervised and unsupervised learning, linear and nonlinear regression, simple regression, and more. You will then dive into classification methods using different classification algorithms, namely K-Nearest Neighbors (KNN), decision trees, and logistic regression. You will also learn about the importance and different types of clustering, such as k-means, hierarchical clustering, and DBSCAN. With all the variety of concepts you will learn, there will be a strong focus on hands-on learning. You will work with Python libraries like SciPy and scikit-learn, and apply your knowledge in labs. In the final project, you will demonstrate your skills by building, evaluating, and comparing several machine learning models using different algorithms. By the end of the course, you will have job-ready skills to add to your resume and a machine learning certificate to prove your expertise.

This specialisation is for anyone who wants to improve their health, protect our planet and build a stronger, more positive relationship with food. The aim of the courses is to increase knowledge of the connections between our health, food, food production and the environment, and to inspire us to make decisions that protect our health and the health of the environment. Upon completion of the specialisation, without previous training in food, dietetics, nutrition, mindful eating or cooking, students will be able to: 1. evaluate contemporary food choices in terms of their impact on human health and the sustainability of the planet; 2. achieve step-by-step changes in personal behaviour towards healthier and more sustainable eating; 3. prepare healthy and delicious meals using simple techniques and readily available ingredients; 4. implement practices of mindfulness, moderation, food variety and self-compassion in relation to their eating behaviour and food choices. Together, these skills and abilities will help to develop lifelong positive and healthy relationships with food for each learner and their loved ones. Special thanks to : Lucas Oliver Oswald, Desiree Labeau, Christopher Gardner, William Bottini, Sejal Parekh, Ariel Venocour, Janine Van Schoor, Ann Doerr, Bonnie Maldonado, Perry Pickert and the fantastic team at Friday Films. Applied learning project In this specialization, you will be asked to apply the principles of sustainable, smart eating, and healthy cooking to plan and prepare a meal that will delight eaters and protect our planet. You will be asked to write about your decision-making process and how you applied the principles learned in this specialization to planning and preparing your planet-friendly, delicious, and healthy meal. Online learning has never tasted so good!

Updated for 2024! Mathematics for Machine Learning and Data Science is an online foundational program created by DeepLearning.AI and taught by Luis Serrano. In machine learning, you apply mathematical concepts through programming. And in this specialization, you will apply the mathematical concepts you learn using Python programming in hands-on labs. To succeed in this program, you will need basic to intermediate Python programming skills. After completing this course, students will be able to: - Analytically optimize various types of functions used in machine learning using properties of derivatives and gradients - Approximately optimize various types of functions used in machine learning using first-order (gradient descent) and second-order (Newton's method) iterative methods - Visually interpret differentiation of various types of functions used in machine learning - Perform gradient descent on neural networks with different activation and cost functions Many machine learning engineers and data scientists need help with mathematics, and even seasoned practitioners can feel held back by a lack of mathematical skills. This specialization uses innovative pedagogy in mathematics to help you learn quickly and intuitively, with courses that use simple visualizations to help you see how the mathematics behind machine learning actually works. We recommend that you have a high school level of math (functions, basic algebra) and familiarity with programming (data structures, loops, functions, conditionals, debugging). The assignments and labs are written in Python, but the course covers all the machine learning libraries you will use.

Reducing Gun Violence in America: Evidence for Change is a course designed to provide students with the best science and opinions from the nation’s leading researchers and the skills to understand which interventions are most effective in providing a path to reducing gun violence in our homes, schools, and communities. In this course, you will learn to: 1. Assess the scope of gun violence and the importance of addressing the issue in a variety of contexts. 2. Describe the role of law and policy in addressing gun violence at the federal, state, and local levels. 3. 4. Describe government standards for civilian carry and use of guns and how these standards affect crime and violence. 5. Describe how firearms design is regulated, effective and fair enforcement of firearms laws, and strategies for reducing police-involved shootings. 6. Identify and explain evidence-based programs to reduce gun violence and understand public opinion about gun policy. As a student in this course, you should understand that you are part of an international learning community. We understand that gun violence can be a complex topic to discuss and that we all have our own opinions and beliefs. However, we ask that you remember that gun violence is something that affects each person differently. It is important to understand that this course is intended to spark productive and meaningful conversation. We ask that students in this course adhere to the rules outlined in the Coursera Code of Conduct and what we expect of you. Please help us create a healthy, productive, and sustainable learning environment for everyone by adhering to the following principles: Be polite.  Treat your peers with respect.  Harassing, condescending, or obscene language is not tolerated.  Do not harass other students.  Civil debate is encouraged as long as you discuss ideas or evidence rather than attacking an individual. Be tactful.  Remember that Coursera is a global forum for learners from many cultures and backgrounds.  Be kind, considerate, and open-minded when discussing race, religion, gender, sexual orientation, or controversial topics, as others will likely have different perspectives. Keep content appropriate.  No content that violates the Honor Code or Terms of Service will be tolerated.  You may not post inappropriate (e.g.  Do not post copyrighted material.  Do not advertise or promote third-party products or organizations.  Do not spam the forums with duplicate content. Please note that violations of the Coursera Code of Conduct, Honor Code, or Terms of Service will not be tolerated and may result in:  Removal of posted content.  Removal from the course.  Loss of access to the Coursera website. *It is also important to note that some of the policies and laws referenced in this course may change and evolve over time. As such, we recognize that the course content may need to be updated to reflect such changes. While we will endeavor to do so as quickly as possible, we appreciate your patience. All information included in the course is accurate as of the time of recording, and we intend to update lectures as quickly as possible and to the best of our ability. The development of this course was made possible by the generous financial support of, provided by the David and Lucile Packard Foundation, an organization that seeks to improve the lives of children, enable creative science, improve reproductive health, and preserve and restore the Earth's natural systems.

This course introduces you to the fundamental data structures of the Python programming language. We'll move from the basics of procedural programming to learning how you can use Python's built-in data structures, such as lists, dictionaries, and tuples, to perform increasingly complex data analysis. This course covers Chapters 6-10 of the Python for Everyone textbook. This course covers Python 3.