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With the rise of generative artificial intelligence, there has been a growing demand to explore how to use these powerful tools not only in our work but also in our day-to-day lives. Generative AI Essentials: Overview and Impact introduces learners to large language models and generative AI tools, like ChatGPT. In this course, you’ll explore generative AI essentials, how to ethically use artificial intelligence, its implications for authorship, and what regulations for generative AI could look like. This course brings together University of Michigan experts on communication technology, the economy, artificial intelligence, natural language processing, architecture, and law to discuss the impacts of generative AI on our current society and its implications for the future. This course is licensed CC BY-SA 4.0 with the exclusion of the course image.

Launch your career in the high-demand field of SAP consulting. Build the consulting skills successful companies are looking for through tailored training and hands-on projects designed by SAP. No experience or degree required to enroll. What does an SAP consultant do? SAP consultants are problem solvers who relish getting the details right. They are experts in process management and have a deep understanding of SAP solutions. They are also outstanding communicators and excel at collaborating with all contributors and stakeholders in a project. This program has been designed specifically for learners seeking to get their first job in the SAP domain. You’ll get the inside track on how to build a consulting career beyond just having product knowledge. You’ll learn about project management methodologies and agile processes. You’ll gain core consulting skills such as requirements gathering, stakeholder interviewing, client communication, client analysis, and solution design. Plus, you’ll go through several implementation project lifecycles to build your practical experience and complete a comprehensive hands-on project using a case study to apply the skills you have learned. With SAP customers generating 87% of total global commerce, SAP consulting skills are in high demand. Through this program, you’ll build the critical skills that the largest and highly successful companies such as Accenture, Capgemini, Deloitte and KPMG, are looking for. Applied Learning Project Each course contains a client-related project that enables you to develop your skills in context. As the courses progress, the projects give you the opportunity to deepen your consulting skills as you learn. In addition to each end-of-course project, however, you’ll conduct a comprehensive hands-on project that takes you through the full SAP implementation lifecycle from start to finish. This will include carrying out the appropriate customer analysis and gap analysis, identifying business requirements, designing a solution, implementing your proposed solution, and completing QA and testing activities. Plus, you’ll build your own SAP career development plan in readiness for when you’ve successfully earned your professional certificate. Once you’ve completed the program, you will have a variety of simulated project implementations that you can refer to in interviews to evidence your hands-on experience.

This course is intended for business and technical professionals involved in strategic decision-making focused on bringing AI into their enterprises. Through the use of a conceptual model called “The AI Ladder”, participants in this course will learn the requirements, terms and concepts associated with successfully developing and deploying AI solutions in their enterprises. After completing this course you will be able to explain and describe each of the steps required to ensure success when you build and deploy AI solutions in your business enterprise.

In this course, you will learn about the technical foundations and key terminology related to generative artificial intelligence (AI). You will also learn how to evaluate the risks and benefits of using generative AI, and explore the steps to planning a generative AI project.

Human Resource professionals have a significant impact on an organization’s success. They play a vital role in hiring the right people, developing employee policies, and creating a positive work culture. By pursuing a career in Human Resources, you can contribute to the overall achievement of an organization. This program is uniquely designed to prepare aspiring Human Resource professionals. Through engaging videos, interactive activities, assessments, and peer-reviewed projects, you can enhance your professional expertise and gain a solid understanding of the fundamentals in this field. This program is mobile friendly so whether you prefer accessing the program from your mobile device or computer, you have the flexibility to shape your learning journey. By the end of this program, you will understand how to: - Effectively recruit, select, and onboard new employees - Develop and implement employee policies and procedures that align with organizational goals - Foster a positive work culture and employee engagement - Understand and navigate legal and ethical considerations in Human Resources - By completing this program, you will receive a certificate from Coursera and also gain the necessary knowledge and skills to excel in this field. You will also be prepared to undertake the HRCI Associate Professional in Human Resources (aPHR) certification exam, setting you apart as a qualified HR professional. Applied Learning Project This program has a variety of engaging and interactive self-guided activities that allow you to apply what you have learned to real-world scenarios. In addition, there are four peer-reviewed projects. These projects serve as opportunities for you to demonstrate your proficiency in various critical areas, including the talent acquisition process, designing impactful training experiences, fostering an inclusive organizational culture, and conducting thorough organization audits. By successfully completing these projects, you will amass a diverse and impressive collection of tangible examples showcasing your expertise that can be readily shared with prospective employers.

The course introduces you to cutting-edge research in the economics of AI and the implications for economic growth and labor markets. We start by analyzing the nature of intelligence and information theory. Then we connect our analysis to modeling production and technological change in economics, and how these processes are affected by AI. Next we turn to how technological change drives aggregate economic growth, covering a range of scenarios including a potential growth singularity. We also study the impact of AI-driven technological change on labor markets and workers, evaluating to what extent fears about technological unemployment are well-founded. We continue with an analysis of economic policies to deal with advanced AI. Finally, we evaluate the potential for transformative progress in AI to lead to significant disruptions and study the problem of how humans can control highly intelligent AI algorithms.

Computer science legend Donald Knuth once said “I don’t understand things unless I try to program them.” We also believe that the best way to learn an algorithm is to program it. However, many excellent books and online courses on algorithms, that excel in introducing algorithmic ideas, have not yet succeeded in teaching you how to implement algorithms, the crucial computer science skill that you have to master at your next job interview. We tried to fill this gap by forming a diverse team of instructors that includes world-leading experts in theoretical and applied algorithms at UCSD (Daniel Kane, Alexander Kulikov, and Pavel Pevzner) and a former software engineer at Google (Neil Rhodes). This unique combination of skills makes this Specialization different from other excellent MOOCs on algorithms that are all developed by theoretical computer scientists. While these MOOCs focus on theory, our Specialization is a mix of algorithmic theory/practice/applications with software engineering. You will learn algorithms by implementing nearly 100 coding problems in a programming language of your choice. To the best of knowledge, no other online course in Algorithms comes close to offering you a wealth of programming challenges (and puzzles!) that you may face at your next job interview. We invested over 3000 hours into designing our challenges as an alternative to multiple choice questions that you usually find in MOOCs. Applied Learning Project The specialization contains two real-world projects: Big Networks and Genome Assembly. You will analyze both road networks and social networks and will learn how to compute the shortest route between New York and San Francisco 1000 times faster than the shortest path algorithms you learn in the standard Algorithms 101 course! Afterwards, you will learn how to assemble genomes from millions of short fragments of DNA and how assembly algorithms fuel recent developments in personalized medicine.

This course gives you context and first-hand experience with the two major catalyzers of the computational science revolution: big data and artificial intelligence. With more than 99% of all mediated information in digital format and with 98% of the world population using digital technology, humanity produces an impressive digital footprint. In theory, this provides unprecedented opportunities to understand and shape society. In practice, the only way this information deluge can be processed is through using the same digital technologies that produced it. Data is the fuel, but machine learning it the motor to extract remarkable new knowledge from vasts amounts of data. Since an important part of this data is about ourselves, using algorithms in order to learn more about ourselves naturally leads to ethical questions. Therefore, we cannot finish this course without also talking about research ethics and about some of the old and new lines computational social scientists have to keep in mind. As hands-on labs, you will use IBM Watson’s artificial intelligence to extract the personality of people from their digital text traces, and you will experience the power and limitations of machine learning by teaching two teachable machines from Google yourself.

Generative AI skills are becoming an essential part of a cybersecurity professional’s toolkit. The US Bureau of Labor Statistics projects a 32% increase in the number of cybersecurity professionals needed through 2032, with a current median salary of $112,000. This Specialization is designed to build skills enabling you to enter this lucrative and exciting field. Begin by learning how to distinguish generative AI from discriminative AI. You’ll explore real-world generative AI use cases and discover popular generative AI models and tools for text, code, image, audio, and videos. Next, delve into generative AI prompts engineering concepts, their real-world business uses, and prompt techniques like zero-shot and few-shot, andothers. You’ll explore popular prompt engineering tools including IBM Watsonx, Prompt Lab, Spellbook, and Dust. Then dive intofundamental concepts of generative AI usefor cybersecurity. Gain valuable job job-ready skills when you apply generative AI techniques to real-world scenarios, including UBEA, threat intelligence, report summarization, and playbooks, and assess their impact and vulnerabilities. Learn how generative AI models can help mitigate attacks, analyze real-world case studies,and learn toidentify key implementation factors. Throughout your learning journey, you’ll create a project portfolio to share your provable skills with potential employers. And earn a shareable course certificate and badge that verifies your achievement. Applied Learning Project This Specialization emphasizes applied learning and includes a series of hands-on activities and projects. In these exercises, you’ll take the theory and skills you’ve gained and practice them with real-world scenarios. Projects include: - Generate Text, Images, and Code using Generative AI - Apply Prompt Engineering Techniques and Best Practices’ - Use Generative AI in Cybersecurity for content filtering, threat analysis, and automated response generation

Artificial intelligence (AI) is rapidly evolving as a multidimensional paradigm, with critical implications for individuals, communities, organizations, businesses, national and regional economies and human society at large. This unique course will help you understand AI on three dimensions: Practice, Principles & Strategy. The course is introductory in nature but will provide a reasonably rigorous learning experience towards gaining a state of the art applied and philosophical overview of AI. Course Objectives are to: 1. Impart a simplified philosophical understanding of the nature and capabilities of Artificial Intelligence 2. Improve understanding of AI-concepts, AI-ideas and AI-strategy 3. Provide a foundational explanation of AI Ethics and Risks 4. Encourage development of strategic thinking on AI, and a future with AI. Note this course is a subset of MPI program at Bloustein: - Students are encouraged to follow the instructor on Twitter / X for latest updates on AI events and news.

Imagine a world where your photos don't just capture memories, but also become intelligent assistants, helping you navigate and manage daily tasks. Welcome to "GPT Vision: Seeing the World Through Generative AI", a course designed to revolutionize how you interact with the world around you through the lens of Generative AI and photos. In this course, you will learn to how take a picture of anything and turn it into: - a recipe - a shopping list - DIY plans to make it - a plan to reorganize it - a description for a social media post - organized text for your notes or an email - an expense report or personal budget entry This course will teach you how to harness GPT Vision's power to transform ordinary photos into problem-solving tools for your job and personal life. No experience is required, just access to GPT-4(V) Vision, which is part of the ChatGPT+ subscription. Whether it's ensuring you've ticked off every item on your grocery list or creating compelling social media posts, this course offers practical, real-world applications of Generative AI Vision technology. Social Media Mastery: Learn to create compelling descriptions for your social media photos with AI, enhancing your digital storytelling. Capture Your Brainstorming: Take a picture of notes on a marker board or napkin and watch them be turned into well-organized notes and emailed to you. DIY and Culinary Creations: Explore how to use photos for DIY home projects and cooking. Discover how to generate prompts that guide you in replicating or creating dishes from images or utilizing household items for creative DIY tasks. Data Extraction and Analysis: Gain expertise in extracting and analyzing data from images for various applications, including importing information into tools like Excel. Expense Reporting Simplified: Transform the tedious task of expense reporting by learning to read receipts and other documents through GPT Vision, streamlining your financial management. Progress Tracking: Develop the ability to compare photos of the real world with plans, aiding in efficient monitoring and management of project progress, such as how your construction project is progressing. Knowledge Discovery: Learn about anything you see. Snap a picture, generate a prompt, and uncover a world of information about objects, landmarks, or any item you encounter in your daily life. Organizational Mastery: Learn how to organize your personal spaces, like closets or storage areas, by using AI to analyze photos and suggest efficient organization strategies and systems.

Introduction video: https://youtu.be/TRhwIHvehR0 This course is for a complete novice of Python coding, so no prior knowledge or experience in software coding is required. This course selects, introduces, and explains Python syntaxes, functions, and libraries that were frequently used in AI coding. In addition, this course introduces vital syntaxes, and functions often used in AI coding and explains the complementary relationship among NumPy, Pandas, and TensorFlow, so this course is helpful for even seasoned python users. This course starts with building an AI coding environment without failures on learners’ desktop or notebook computers to enable them to start AI modeling and coding with Scikit-learn, TensorFlow, and Keras upon completing this course. Because learners have an AI coding environment on their computers after taking this course, they can start AI coding and do not need to join or use the cloud-based services.