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Led by GP, a distinguished AI researcher with 11 PubMed publications and a rich academic background from Cornell, UCSF, NIH, and Amherst College, this course spans the essentials of web development to the frontiers of AI technology. Dive into a learning experience with LIVE HELP available Monday to Friday, 9-5, plus additional online support. Our curriculum is in constant evolution, tailored to your feedback and the dynamic landscape of machine learning and AI. This isn't just another bootcamp; it's a bridge from foundational HTML to pioneering in Python 3, Machine Learning, TensorFlow, and beyond into Artificial Intelligence and Recurrent Neural Networks. Designed for rapid learning, we break down complex concepts into manageable steps. Starting from HTML and CSS to Bootstrap and JavaScript, and advancing through Python 3 to data science, machine learning, and AI, we cover ground rapidly but solidly. Expect to delve into: - Frontend web technologies: HTML, CSS, Bootstrap, JavaScript, jQuery - Python programming essentials and advanced concepts - Data Science, including Machine Learning and AI with TensorFlow - Practical applications with projects in sentiment analysis, regression, clustering, and neural networks - An exploration of both traditional statistics and machine learning techniques With over 170 lectures and 30+ hours of video content, this course is your most comprehensive guide to becoming a proficient Python developer and an AI specialist. You'll get lifetime access to all materials, including lecture Notebooks. This course is perfect for beginners with no prior programming experience, bootcamp graduates looking to tackle real-world projects, and intermediate Python programmers eager to master AI programming. With a 30-day money-back guarantee, there's no risk in taking the leap. Transform your career with the skills to thrive in the era of AI.

Embark on an enlightening odyssey with the all-encompassing "DALL·E A to Z Course" by Leonardo AI, the revolutionary text-to-image AI tool. This transformative program is meticulously crafted to not only elevate your expertise but also supercharge your online presence. By embarking on this journey, you're poised to discover a world of knowledge, recognition, and limitless possibilities – all at your fingertips. Course Highlights: DALL·E Mastery: Unveiling the Secrets of Creative AI Delve deep into the intricate facets of DALL·E, from fundamental principles to advanced techniques. Unlock the enchanting magic of text-to-image conversion and explore the applications of creative AI across various domains. Get ready to be astounded as you take your skills to new heights. Leonardo AI Insights: Crafting Engaging Conversations with AI Venture into the captivating universe of conversational AI with Leonardo AI. Acquire the knowledge and skills needed to craft compelling interactions with AI, resulting in profound conversations. Unleash the potential of AI-driven dialogues and leave your mark in this emerging field. AI Tools Expertise: Expanding Horizons with Artificial Intelligence Elevate your understanding to encompass an extensive array of AI tools, each offering unique capabilities and applications. Explore the vast horizons of AI across multiple domains, from creative endeavors to practical solutions. What Sets Our Course Apart: Hands-On Experience: Our course revolves around hands-on projects, empowering you to not just learn but to effectively apply your newfound knowledge. With this practical experience, you can assemble a robust portfolio showcasing your AI expertise, creating a lasting impact in the online landscape. Community Collaboration: Join a vibrant community of fellow learners who share your passion for AI. Through collaboration, the exchange of innovative ideas, and the support of like-minded individuals, you will find the camaraderie that fuels your journey to success. Who Should Enroll: This course is tailor-made for: - Creative visionaries and innovators eager to explore the limitless world of DALL·E and Leonardo AI. - Content creators, digital marketers, and professionals seeking to harness the full potential of AI tools. - Enthusiasts and curious minds, captivated by the boundless possibilities of AI. Upon successfully completing this course, you won't just comprehend AI; you will wield it with confidence. You'll craft striking visuals, engage in meaningful conversations with AI, and traverse the expansive terrain of AI tools. Enroll today and position yourself as an AI expert, dominating the landscape in DALL·E, Leonardo AI, and AI tools. Seize the opportunity to flourish in the realm of AI courses, asserting your authority in the ever-evolving world of technology. Don't let this transformative journey pass you by; it's time to grasp the future of AI. Join us and embark on this remarkable odyssey with Leonardo AI's "DALL·E A to Z Course."

During this course, we will explore the fascinating world of AI models in depth, with a particular focus on image generation. We will start by building a strong foundation of knowledge around the basics of AI models, including their history, development, and applications. From there, we will dive deeper into the specifics of AI image generation, learning how to use different publicly available models to create stunning pieces of art. But that's not all! We will also delve into the exciting process of building your own model using Stable Diffusion. Whether you want to create a model that mimics your unique art style or generates images based on your personal photos, we will guide you through the process of bringing your vision to life. You will have the opportunity to work on several projects that will allow you to put your new skills into practice. These projects will range from basic image generation to more complex tasks, such as creating a model that generates images based on a particular theme or style. A major aspect of this course is that everything used in the course will be on your personal accounts and personal workspaces. You will build the workflows in google colab, store the trained models in your google drive and be able to use them from there. This give you much more freedom and control than trying to use something based on subscriptions or payments. This is critical if you plan to use your personal photos in order to generate the art. Finally, we will connect you with the larger digital art community, allowing you to share your work, get feedback from others, and discover new artists and techniques. By the end of this course, you will have developed a deep understanding of AI models and their applications, as well as a newfound appreciation for the beauty and power of digital art. All Music Used In This Course Is Music by ComaStudio from Pixabay

ChatGPT is a revolutionary AI chatbot based on OpenAI’s GPT-3.5 architecture. This chatbot has the ability to understand and produce natural language , meaning it can mimic human conversations and answer questions in a way that mimics the way humans talk to each other. This course is designed for beginners who are interested in learning how to use ChatGPT and exploring the possibilities of this groundbreaking technology. This course is divided into several modules that are presented step by step. In the first module, you will learn the basics of ChatGPT and how it works . You will learn how to use ChatGPT to generate conversations and how to train it to perform specific tasks. You will also be introduced to some of the applications of ChatGPT in different industries such as customer service, marketing, and education. Next, you will dive deeper into the technology behind ChatGPT and learn how to customize and optimize it for specific applications. You will learn how to collect and use datasets to train the model, and how to measure and improve the model's performance. You will also learn how to integrate ChatGPT with other technologies and platforms to create advanced applications.

This comprehensive Rust Specialization from Coursera and Duke University, a leading data science and AI program, gives software engineers, data scientists, and technical professionals the applied skills to leverage the speed, safety, and versatility of the Rust language to program robust systems. Over five courses, covering everything from fundamental syntax to advanced machine learning integrations, you’ll master Rust programming through hands-on lessons and 20+ coding projects, then tackle real-world challenges like building a database migration tool, optimizing an ML pipeline, or creating a Linux automation script. By the end of the course, you’ll have a ready-made portfolio of Rust knowledge that will enable you to apply for roles such as Platform Engineer, MLOps Engineer, Data Engineer, Embedding Engineer, or Backend Developer. Applied learning project With over 20 hands-on coding projects, such as building a Rust chatbot, containerizing a web service, developing a Linux automation script, or optimizing a machine learning pipeline, students will gain authentic, portfolio-ready experience applying their Rust skills to real-world systems programming problems, developed by Duke University experts.

This course shows you how to treat the web as a data source. We'll scrape, parse, and read web data, and access data using web APIs. We'll work with HTML, XML, and JSON data formats in Python. This course covers Chapters 11-13 of Python for Everyone. To successfully complete this course, you should be familiar with the material covered in Chapters 1-10 of the book and the first two courses in this specialization. These topics include variables and expressions, conditional execution (loops, branching, and try/except), functions, Python data structures (strings, lists, dictionaries, and tuples), and working with files. This course covers Python 3.

This specialization is designed to introduce students to a broad range of financial technologies. Although finance has always been at the forefront of technological innovation, the financial industry is rapidly changing as new technologies impact it. In the past, central governments and financial institutions were at the forefront of innovation in finance. Today, information technology firms and professionals are leading innovation in the financial industry. Our goal is to show students the genesis and use cases of the technology. We hope to familiarize professionals with the technology enough that they can use and adapt it in their careers. Applied learning project Stories are part of the human experience. We all have stories to tell, but they are also great learning tools. These courses will use a storytelling approach that will ask you to role-play a character in a context that directly relates to the content you will be working with. This approach will help you relate to the information being presented, challenge you to apply your knowledge and skills in a new context, and give you and others an opportunity to reflect on a shared experience.

This MOOC aims to demystify research and research methods. It will set out the basics of conducting research, aimed primarily, but not exclusively, at postgraduate students. Our focus is on working with students, who will be engaged in active and challenging discussions and exercises, befitting the research-intensive status of SOAS, the University of London, and its rich research heritage. The course will be of interest to those of you who require an understanding of research approaches and skills and, importantly, the ability to apply these in your studies or professional work. In particular, this course will help those of you who are required to undertake research as part of your postgraduate studies but may not have access to research methods courses, or those of you who feel you would like additional support to improve yourself. No prior knowledge or experience of research is required to take this course, so it is suitable for everyone. This MOOC draws on a wealth of existing course material designed to support research learning at SOAS, University of London, and in particular from the Centre for International Studies and Diplomacy (CISD). In 2015, the course was nominated for the university’s prestigious Guardian Award for its innovative approach to online learning. Participation in or completion of this online course does not provide credit towards any University of London degree.

The modern professional environment is highly competitive, constant changes and management complexity. Employees rarely reach management positions without managing one or more projects or a segment of projects early in their careers. The purpose of this specialization, brought to you by the Rice Center for Engineering Leadership and the team that created Master's program in Engineering Management, - to give you the tools to manage projects more effectively and successfully; to give you a solid foundation of knowledge, skills and confidence that will set you apart from others and give you a competitive advantage as you move into management positions. This Project Management for Engineering specialization is designed as an introduction to project management. It is intended for engineers who are interested in improving their project management skills in new management position or approaching your first management position. In this specialization, you will prepare key Project Execution Plan documents based on available templates. Applied learning project In this specialization, students will examine a specific engineering case study and prepare a project charter, stakeholder engagement matrix, statement of work, work breakdown structure, project schedule, project estimate, project risk matrix, and project cause and effect diagram based on the facts in the case study. Students will also be asked to calculate project progress using the Earned Value method.

In this course, you will learn the foundations on which modern ESG was built, how market forces respond to ESG, and how to create and maintain value through ESG investment strategies. You will also learn about the five pathways to materiality and how they interact with ESG metrics. You will explore the many challenges that corporations face when using ESG investing in their portfolios, and how the changing ESG landscape makes this an untapped area when it comes to the financial performance of modern companies. You will also learn from real-world examples how to assess risk, create better risk management policies, and build a map to identify valuable areas of opportunity and create better decision-making approaches. Finally, you will look at portfolio optimization and using ESG factors to maximize returns, and examine different funds, their fee structures, and how investors can incorporate ESG into their investment portfolio. By the end of this course, you will know the best practices for creating a robust risk management plan and how to build an ESG-sensitive culture. You will gain a better understanding of the history and fundamentals of ESG, and how to create a path forward using smarter methods to identify risk, address ESG issues, and achieve ESG investing goals.

This course provides health professions educators with an asynchronous, interdisciplinary, and interactive way to gain, extend, and improve their teaching skills. These skills can then be applied in their own professional contexts, with a variety of learners, at many stages. Upon completion of this course, students will: 1. Understand educational theory as it applies to health professions education 2. Relate teaching methods to desired learning outcomes 3. Explore a variety of applied teaching methodologies 4. Share successful teaching strategies Resources provided will include instructional videos, individual readings, recommended references, and peer-reviewed recommendations. All students must have reliable internet access with the ability to view streaming video. Some students may require the ability to use online video conferencing.

This is the fourth of seven courses in the Google Advanced Data Analytics Certificate. In this course, you'll discover how data professionals use statistics to analyze data and gain important insights. You'll explore key concepts such as descriptive and inferential statistics, probability, sampling, confidence intervals, and hypothesis testing. You'll also learn how to use Python for statistical analysis and practice communicating your findings like a data professional. 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 fundamental analytical principles, skills, and tools covered in the Google Data Analytics Certificate. By the end of this course, you will: -Describe the use of statistics in data science -Use descriptive statistics to summarize and explore data -Calculate probability using basic rules -Model data with probability distributions -Describe the applications of different sampling methods -Calculate sampling distributions -Construct and interpret confidence intervals -Conduct hypothesis tests