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In Course 1 of the specialization "Natural Language Processing" you will study: - a) Perform sentiment analysis on tweets using logistic regression followed by Naive Bayes; - b) Use vector space models to discover relationships between words, and use PCA to reduce the dimensionality of the vector space and visualize these relationships; - c) Write a simple English-French translation algorithm using pre-computed word embeddings and locality-sensitive hashing to relate words using approximate k-nearest neighbor search. By the end of this specialization, you will have developed NLP applications that perform question answering and sentiment analysis, built tools for language translation and text summarization, and even built a chatbot! This specialization is designed and taught by two experts in NLP, machine learning, and deep learning. Younes Bensouda Mourri is an AI instructor at Stanford University who also helped create the Deep Learning specialization. Lukasz Kaiser is a Staff Scientist at Google Brain and co-author of Tensorflow, the Tensor2Tensor and Trax libraries, and the Transformer paper.

Medical Neuroscience is the study of the functional organization and neurophysiology of the human central nervous system, providing a neurobiological basis for understanding human behavior. In this course, you will become familiar with the organization of neural systems in the brain and spinal cord that mediate sensation, motivate bodily actions, and integrate sensorimotor signals with memory, emotion, and related cognition. The overall goal of this course is to provide a foundation for understanding the disturbances in sensation, action, and cognition that accompany injury, disease, or dysfunction of the central nervous system. The course will build on previous study of cellular and molecular biology, general physiology, and human anatomy as we focus on the central nervous system. This online course is designed to include all of the core concepts of neurophysiology and clinical neuroanatomy that would be presented in most first-year medical school neuroscience courses. There are, however, some topics (e.g., biological psychiatry) and a few learning experiences (e.g., hands-on brain dissection) that we teach in the corresponding course offered at the Duke University School of Medicine on campus that we do not attempt to replicate in Medical Neuroscience Online. However, our goal is to accurately represent the scope and rigor of a medical school-level course. This course is divided into six sections over 12 weeks, with an additional week for a comprehensive final exam: - Section 1, Neuroanatomy (Weeks 1-2). This section reviews the superficial anatomy of the human brain, its internal structure, and the overall organization of the sensory and motor systems in the brainstem and spinal cord. - Section 2, Neural Signaling (Weeks 3-4). This section reviews the fundamental mechanisms of neuronal excitability, signal generation and propagation, synaptic transmission, postsynaptic mechanisms of signal integration, and neural plasticity. - Section 3 Sensory Systems (weeks 5-7). Here you will study the general organization and function of the sensory systems that contribute to our sense of self in relation to the world around us: somatic sensory systems, proprioception, vision, hearing, and balance. - Section 4 Motor Systems (weeks 8-9). In this section, we will look at the organization and function of the mechanisms in the brain and spinal cord that control body movement. - Section 5 Brain Development (week 10). Next, we will look at the neurobiological mechanisms that shape the nervous system during embryonic development and the early postnatal period; we will also look at how the brain changes throughout life. - Section 6 Cognition (weeks 11-12). The course concludes with an overview of the association systems of the cerebral hemispheres,with an emphasis on the cortical networks that integrate perception, memory, and emotion in organizing behavior and planning for the future; we will also consider the brain systems that maintain homeostasis and regulate brain state.

Prepare for a career in UX design. No experience or degree required. With professional training designed by Google you will quickly find a well-paid job. User Experience (UX) designers focus on the experience users have when using products such as websites, apps, and physical objects. They make these everyday interactions accessible, enjoyable, and user-friendly. The 7 courses in this program will provide you with highly sought-after skills and prepare you for employment. You can earn the certificate in less than 6 months with 10 hours of classes per week. You’ll create designs on paper and in digital design tools like Figma and Adobe XD. By the end of the program, you’ll have created a professional UX portfolio that includes three projects completed from start to finish and demonstrates your readiness to apply for a job. 75% of Google Career Certificate graduates reported positive career growth within 6 months, such as a new job, promotion, or raise.² Discover here all Google Career Certificates. “Coursera Learner Outcome Survey”, all time for Google IT Support Certificate. Data is collected from surveys on the platform or by email and is cumulative, from January 2018 to January 2021. Applied learning project This program includes over 200 hours of instruction and several hundred practice-based activities and assessments. The program was developed by Google employees with decades of experience in UX design. You will learn how to lead the design process from start to finish, including: Empathizing with users; Defining user challenges; Finding design solutions; Creating wireframes, mockups, and prototypes; Testing design solutions using feasibility studies; Iterating on designs based on feedback. You will study the in-demand design tools Figma and Adobe XD. You will also create a portfolio that includes three projects developed during the program that will allow you to demonstrate to a potential employer the skills you have acquired in this program.

Health care is a rapidly evolving field where new research leads to advances in medicine. Developed at Johns Hopkins University and led by leading Hopkins faculty and cancer experts, this Cancer Biology specialization focuses on the basics of cancer biology, how cancer metastasizes, and, in particular, screening guidelines for prostate cancer, the most common cancer in American men. This specialization begins with Introduction to Cancer Biology, introducing the molecular biology of cancer and the biological hallmarks of cancer. The course also covers risk factors for the major cancers worldwide, including lung cancer, breast cancer, colon cancer, prostate cancer, liver cancer, and stomach cancer. Johns Hopkins experts explain how cancer is staged, the main ways to detect cancer using imaging, and how the major cancers are treated. The specialization dives deeper into understanding cancer metastasis, explaining how cancer spreads or metastasizes. This course will cover the major theories of metastasis and then describe the biology behind the stages of metastasis. The course also covers the major organs that metastasis targets and describes how metastases harm the patient. Finally, the course focuses on understanding prostate cancer, giving you the tools to learn about how prostate cancer occurs, including risk factors, stages, and treatment options at each stage. Applied learning project Students will be able to identify the major types of cancer worldwide, describe how genes contribute to cancer risk and growth, and describe the ten cellular hallmarks of cancer. Students will also describe uncontrolled cell division, as well as mutations, neoangiogenesis, and their role in tumor formation. Based on this, students will be introduced to prostate cancer and be able to list risk factors. In particular, you will learn how prostate cancer is detected, diagnosed, diagnosed, and treated.

In this specialization, you’ll develop essential leadership skills, including how to inspire and motivate people, manage talent, influence without authority, and lead teams. In this specialization, you won’t just learn from Michigan faculty. You’ll also learn directly from accomplished leaders, including Jeff Brodsky, head of human resources at Morgan Stanley, and John Beilein, former head coach of the University of Michigan men’s basketball team. We’ll share our research on how to effectively lead people and teams, and we’ll work with you to apply this knowledge to your own teams and leadership. In each course, you’ll have the opportunity to apply your new leadership skills through a series of hands-on leadership assignments. In addition, as part of the Capstone program, you’ll have the opportunity to solve real-world leadership problems.

This course is an intuitive introduction to rocket science in our everyday lives. Modern life increasingly depends on technology provided by Earth-orbiting satellites, from detailed weather predictions to broad-band internet and GPS. How are satellites launched into orbit and how do they work once they get there? Why are rockets used to get into orbit and how are they different from airplanes? This introductory course is aimed at a wide non-technical audience and is appropriate for all ages.

Through hands-on projects and expert-led instruction, you'll learn the entire UX design process, from conducting user research and creating wireframes to designing high-fidelity mockups and prototypes. You'll also learn essential soft skills like collaboration and communication, crucial for success in any design role. This Professional Certificate is unique in its focus on: - Hands-on Learning: You'll build a professional portfolio showcasing your skills to potential employers. - AI in UX Design: Leverage AI as a powerful tool to enhance UX Design efficiency and creativity. - Industry-Relevant Tools: Learn to use Microsoft PowerPoint, Figma, and Fluent 2, popular design tools used by professionals. - Accessibility and Inclusive Design: Create designs that cater to diverse user needs. - Collaborative Design: Gain experience working with cross-functional teams. Upon completion, you'll be able to: - Conduct user research and create user personas. - Develop wireframes, mockups, and interactive prototypes. - Apply visual design principles and create high-fidelity designs. - Understand and implement accessibility guidelines. - Effectively communicate design decisions and collaborate with stakeholders. - Receive guidance on resume building, job searching, and interviewing. No prerequisites are required. Whether you're switching careers or just starting, this program will provide you with the foundation and practical skills needed to thrive in the exciting field of UX design. Applied learning project Throughout this program, you'll work on a capstone project: designing a mobile grocery shopping app for busy professionals. In a series of 12 projects, you'll conduct user research, create wireframes and prototypes, and test your designs to ensure a seamless and intuitive user experience. You’ll apply UX design skills to a real-world scenario, building a portfolio-worthy piece that demonstrates your ability to solve complex design challenges. You’ll start with user research, using different methods to uncover the pain points and the wants and needs busy professionals have when it comes to buying groceries. You’ll design the information hierarchy within the app, ensuring a logical structure that makes sense to users. Finally, you'll transform your static mockups into an interactive prototype so Grocery Shopping App users can tap, swipe, and navigate the app, and give you valuable feedback on your design.

This is the first of seven courses in the Google Advanced Data Analytics Certificate, which will help develop the skills needed to apply for more advanced data professional roles, such as an entry-level data scientist or advanced-level data analyst. Data professionals analyze data to help businesses make better decisions. To do this, they use powerful techniques like data storytelling, statistics, and machine learning. In this course, you’ll begin your learning journey by exploring the role of data professionals in the workplace. You’ll also learn about the project workflow PACE (Plan, Analyze, Construct, Execute) and how it can help you organize data projects. Google employees who currently work in the field will guide you through this course by providing hands-on activities that simulate relevant tasks, sharing examples from their day-to-day work, and helping you enhance your data analytics skills to prepare for your career. Learners who complete the seven courses in this program will have the skills needed to apply for data science and advanced data analytics jobs. This certificate assumes prior knowledge of foundational analytical principles, skills, and tools covered in the Google Data Analytics Certificate. By the end of this course, you will: - Describe the functions of data analytics and data science within an organization - Identify tools used by data professionals - Explore the value of data-based roles in organizations - Investigate career opportunities for a data professional - Explain a data project workflow - Develop effective communication skills

Are you preparing for the Oracle Database 23ai SQL Associate Exam (Exam Number: 1Z0-171)? This course is designed to help you succeed in your exam by providing thorough practice and detailed explanations for each question. With 4 comprehensive practice exams and over 240 questions, this course offers extensive coverage of the exam topics. Each practice exam is carefully crafted to reflect the format and difficulty level of the actual exam. The questions are designed to test your understanding of key concepts and your ability to apply them in various scenarios. The detailed explanations for each question will help you understand the reasoning behind the correct answers, reinforcing your knowledge and helping you identify areas for improvement. This course is not just about rote memorization; it focuses on helping you understand the underlying principles and concepts of SQL. By the end of this course, you will have a solid foundation in SQL and be well-prepared to tackle the Oracle Database 23ai SQL Associate Exam with confidence. Whether you are new to SQL or looking to validate your skills, this course is a valuable resource in your exam preparation journey. Join us and take the next step towards achieving your Oracle certification.

This course on GitHub Copilot: AI-Powered Code Generation is designed to empower developers with the knowledge and skills to leverage the capabilities of AI for code generation. GitHub Copilot is an advanced AI tool that can assist developers by automatically suggesting code snippets and completing code lines based on context and programming patterns. In this course, you will learn how to integrate GitHub Copilot into your coding workflow and harness its power to increase productivity and efficiency. You will explore various programming languages and platforms that are supported by GitHub Copilot, and understand how to make the most out of its code generation capabilities. The course will cover essential topics such as: 1. Introduction to GitHub Copilot: Discover the features and functionalities of GitHub Copilot and understand its potential for transforming your coding experience. 2. Getting Started: Learn how to set up and configure GitHub Copilot in your preferred development environment, and explore the available options and settings. 3. AI-Powered Code Suggestions: Dive into the mechanics of GitHub Copilot's AI algorithms and learn how it generates intelligent code suggestions based on context and existing code patterns. 4. Integrating Copilot in Your Workflow: Explore different ways to integrate GitHub Copilot seamlessly into your coding workflow, and discover techniques for leveraging its suggestions effectively. 5. Customizing Copilot: Understand how to personalize and customize GitHub Copilot to align with your coding preferences and optimize its code generation capabilities. 6. Best Practices and Tips: Discover best practices and practical tips for maximizing the benefits of GitHub Copilot while ensuring code quality and maintainability. 7. Advanced Features and Future Developments: Get a glimpse of advanced features and upcoming developments in GitHub Copilot, and stay ahead of the curve in AI-powered code generation. Throughout the course, you will have hands-on exercises and coding examples to reinforce your understanding and practical skills. By the end, you will have a solid foundation in utilizing GitHub Copilot effectively and integrating AI-powered code generation into your development projects, boosting your productivity and enabling you to write code faster and more efficiently.

Welcome to Mastering AI Powered Conversations! In this cutting-edge course, we will delve deep into the transformative world of artificial intelligence, showing you how it can revolutionize your lead generation efforts. By learning how to configure, test, and activate AI technology with Go HighLevel, you'll be able to harness the power of automation to drive more leads and grow your business like never before. Prepare to explore the latest AI tools and techniques for maximizing your lead generation potential. Discover how AI can provide you with a significant competitive edge in today's fast-paced digital landscape. We’ll cover everything from planning your strategy to configuring your AI chatbot, setting up diverse AI workflows, and much more—all within the Go HighLevel platform. Each lecture includes written format and video (with closed captions). Step-by-step demonstrations also include closed captions. This course is designed for anyone, whether you're fairly new to Go HighLevel or a seasoned user eager to supercharge your business. You'll be equipped with the knowledge and skills needed to elevate your lead generation strategies to new heights. Through the power of AI, you can quickly dominate your local market, outpacing your competition. Join us on this exciting journey as we unlock the full potential of AI lead generation with Go HighLevel. Get ready to supercharge your business, achieve unprecedented success, and become a leader in the world of digital marketing. Don’t miss out on the opportunity to transform your business with AI and Go HighLevel—your future success starts here!

Course Description:Are you ready to dive into the world of Artificial Intelligence and develop practical skills in Machine Learning and Deep Learning? This comprehensive course is designed to take you on an exciting journey through the realms of AI, enabling you to create real-world projects from scratch. In this hands-on course, you'll embark on a dynamic learning experience where you'll build and deploy a series of Machine Learning and Deep Learning projects, starting from the very basics and progressing to advanced applications. Whether you're a beginner looking to get started in AI or an experienced practitioner aiming to expand your project portfolio, this course caters to all levels of expertise. Key Highlights: - Project-Centric Learning: This course revolves around project-based learning. You won't just study theory; you'll apply your knowledge to solve practical problems. Each module introduces a new project, ensuring you gain practical experience. - From Fundamentals to Mastery: We begin with the fundamentals, ensuring that even beginners can grasp the concepts. As the course progresses, we delve into advanced topics, equipping you with the skills needed to tackle complex AI challenges. - Wide Range of Applications: You'll explore a diverse range of applications, including image classification, natural language processing, recommendation systems, and more. These projects mirror real-world scenarios, providing valuable insights into AI's versatility. - Deep Dive into Deep Learning: Deep Learning is a core component of modern AI. You'll work with neural networks, convolutional networks, and recurrent networks, and explore cutting-edge techniques to tackle complex tasks. - Deployment and Scaling: It's not enough to build models; you'll also learn how to deploy them, making your projects accessible to a wider audience. You'll explore cloud-based solutions and scaling strategies. - Collaborative Environment: Engage with fellow learners in a collaborative environment. Share your insights, seek assistance, and collaborate on group projects, mimicking the collaborative nature of AI development in the real world. - Mentorship and Support: Experienced AI practitioners and instructors will guide you throughout the course. You'll receive expert insights and feedback to help you refine your projects. Upon completion of this course, you'll emerge with a robust AI portfolio, showcasing your ability to create intelligent solutions from the ground up. Whether you aspire to work in AI research, and data science, or simply want to harness the power of AI for your projects, this course equips you with the skills and confidence to succeed in the world of Machine Learning and Deep Learning. Join us on this exciting journey into the realm of AI, and let's build the future together, one project at a time!