Explore Courses

Deep Learning is a cutting-edge technique for many applications, from natural language processing to biomedicine. Deep Learning can handle many different types of data, such as images, text, voice/sound, graphs, etc. This course covers the fundamentals of Deep Learning, including building and training multilayer perceptrons, convolutional neural networks (CNNs), recurrent neural networks (RNNs), autoencoders (AEs), and generative adversarial networks (GANs). The course includes several hands-on projects, including detecting cancer with a CNN, using RNNs on disaster tweets, and generating dog images with a GAN. Prior knowledge of coding or scripting is required. We will use Python extensively throughout the course. We recommend reading the two previous courses in this specialization, Introduction to Machine Learning: Supervised Learning and Unsupervised Algorithms in Machine Learning, but they are not required. College-level math skills are required, including Calculus and Linear Algebra. Some portions of the course will be relatively math intensive. This course may be taken for academic credit toward CU Boulder’s MS in Data Science or MS in Computer Science programs, both offered on Coursera. These fully accredited degrees offer focused courses, short 8-week sessions, and tuition-based programs. Admission is based on three prerequisite courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder Course logo image by Ryan Wallace on Unsplash.

One of the most useful areas of machine learning is discovering hidden patterns from unlabeled data. Add the basics of this in-demand skill to your data science toolbox. In this course, we’ll explore select unsupervised learning methods for dimensionality reduction, clustering, and latent feature learning. We’ll also focus on real-world applications like recommender systems, with practical examples of product recommendation algorithms. Prior knowledge of coding or scripting is required. We’ll use Python extensively throughout the course. College-level math skills are required, including Calculus and linear algebra. It’s recommended, but not required, that you take the first course in the specialization, Introduction to Machine Learning: Supervised Learning. This course can be taken for credit toward CU Boulder’s MS in Data Science or MS in Computer Science programs, both offered on Coursera. These fully accredited degrees offer focused courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on three prerequisite courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder Course logo image by Ryan Wallace on Unsplash.

In Introduction to Statistical Learning, we'll cover statistical modeling concepts, such as when to use certain models, how to tune those models, and whether other options might make certain tradeoffs. We'll cover regression, classification, trees, sampling, unsupervised methods, and more! This course can be taken for credit toward the CU Boulder Master of Science in Data Science (MS-DS) program offered on Coursera. The MS-DS is an interdisciplinary degree with faculty from CU Boulder's Applied Mathematics, Computer Science, Information Science, and other departments. Based on learning outcomes and requiring no application, the MS-DS program is ideal for individuals with a broad educational background and/or professional experience in computer science, computer science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.

Marketing data is often so big that humans cannot read or analyze a representative sample of it to understand what insights might lie within. In this course, learners use unsupervised deep learning to train algorithms to extract topics and insights from text data. Learners walk through a conceptual overview of unsupervised machine learning and dive into real-world datasets through instructor-led tutorials in Python. The course concludes with a major project. This course uses Jupyter Notebooks and the coding environment Google Colab, a browser-based Jupyter notebook environment. Files are stored in Google Drive. This course can be taken for academic credit as part of CU Boulder's Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder's departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder

Project Management: Fundamentals and Initiation provides students with a foundational understanding of how engineering projects are managed and initiated. Project managers are responsible for project scope, stakeholder management, effective communication, and team leadership. In this course, you will gain the entry-level skills needed to manage traditional engineering projects, as well as the tools needed to engage stakeholders and build diverse teams. This course can be taken for credit toward CU Boulder’s Master of Engineering in Engineering Management (ME-EM) program, offered on Coursera. The ME-EM program is designed to help engineers, scientists, and technical professionals move into leadership and management positions in the engineering and technical industries. An outcome-based program with no application requirement, the ME-EM program is ideal for individuals with a wide range of educational and/or professional backgrounds. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder Logo image courtesy of Jehyun Sung, available on Unsplash at https://unsplash.com/photos/6U5AEmQIajg?utmsource=email&utmmedium=referral&utm_content=photos-page-share

Before we can lead others well, we must first learn to lead ourselves well. Knowing your why is an important part of this journey. In this course, you will identify your core purpose and recognize meaning in your life, explore the power of spirituality and embracing our mortality, create a lasting impact by serving a greater good, describe your character and practice personal excellence. This course can be taken for academic credit as part of CU Boulder's Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.

Before we can lead others well, we must first learn to lead ourselves well. The culmination of this journey is personal excellence. In this course, you will learn how and why to set goals and make action plans, increase focus and reduce distractibility, use motivation and flow to achieve results, increase self-efficacy and autonomy, and redefine your relationship with stress, anxiety, fear, and adversity. This course can be taken for academic credit toward CU Boulder’s Master of Engineering in Engineering Management (ME-EM) program, offered on Coursera. The ME-EM program is designed to help engineers, scientists, and technical professionals move into leadership and management positions in the engineering and technical industries. An outcomes-based program with no application requirement, the ME-EM program is ideal for individuals with a wide range of educational and/or professional backgrounds. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.Happiness

Explore how artists have come to understand their identities over time, through creative media and scholarly discussions. You will connect with your own sources of creative inspiration, and revisit a major moment in your life that has shaped who you are and how you understand yourself, with the invitation to engage with this story through literary analysis and creative expression. Discover how these themes and theories help leaders understand their own and others' identities across the full range of human diversity, as they show up in workplaces and relationships.

The AI for Small Business Sales course is designed to help small business owners unlock the power of artificial intelligence and use it to improve their sales. In this course, you will learn why you should use AI. How to leverage AI tools and techniques to automate tasks, personalize sales experiences, predict customer behavior, improve customer support, and analyze sales data. You will start by learning the basics of AI, how it can be applied in sales, and the various AI-powered sales tools available for small businesses. You will then dive deeper into the practical applications of AI in sales, including lead generation, customer engagement, and marketing. The course will also cover data analysis, customer behavior prediction, and chatbots for customer support. You will learn how to use AI to gain insights into your sales data and make informed decisions about your sales strategy. By the end of the course, you will have a thorough understanding of how to use AI to improve your sales processes and grow your small business. You will be equipped with the knowledge and skills needed to implement AI-powered sales tools and techniques and gain a competitive edge in your industry. Are you ready to take your sales to the next level using tools that will make things easier?

After completing this course, all your colleagues will look at you in awe because you are a true master and expert in using AI. Generative AI might be the most powerful tool of our era, but if you don’t know AI's best practices and how to use them, you might end up frustrated - because even the most powerful tool needs to be used correctly.

"Capcut & ChatGPT & Generative AI Video Editing Masterclass" Embark on a transformative journey into the world of AI-powered video editing with our comprehensive "Capcut & ChatGPT & Generative AI Video Editing Masterclass". This meticulously designed course is your gateway to mastering the art of creating high-quality trailers and videos, a skill highly sought after by influencers, online course creators, and business owners. Course Overview: - Introduction to Capcut: Dive into the world of professional video editing with Capcut, understanding its interface and capabilities. - AI Content Creation: Explore how AI tools like ChatGPT, with a library of over 4600 prompts, revolutionize content creation. - Advanced ChatGPT Techniques: Learn to customize ChatGPT's responses, styles, and tones for unique content. - AI Comparisons: Get insights into ChatGPT 3.5, GPT-4, and Google BARD, understanding their unique features and applications. - Integrations and Plugins: Discover how ChatGPT can browse the web, process various file formats, and integrate with tools like DALL-E3 for image generation. - Building Custom GPT Models: Step into the advanced territory of creating your personalized GPT models for specific tasks. - Exploring Midjourney: Understand Midjourney's settings, styles, and its use in prompt engineering for creative outputs. - Image to Video Transformation: Learn techniques like face swapping, AI image generation, and converting images to videos using tools like Leonardo AI, Kaiber AI, and Genmo AI. - Style Transformation and Voice Cloning: Transform video styles with Runway ML, create talking pictures with D-ID, and clone voices for multilingual dubbing using Eleven Labs. - Canva Hacks and Scriptwriting with ChatGPT: Uncover Canva hacks for effective scene creation and use ChatGPT for scripting. - Comprehensive Capcut Tutorials: Gain proficiency in Capcut with detailed tutorials covering media, audio, effects, transitions, and more. What You'll Gain: - Practical Skills: Hands-on experience in AI video editing, scene creation, and asset organization. - Creative Flexibility: Learn to blend AI tools like Midjourney, D-ID, Leonardo AI, and others for unique video effects. - Market-Ready Expertise: Equip yourself with the skills to create and sell high-quality videos in today's digital marketplace.

Introducing the Revolutionary AI Human Avatar: A Cutting-Edge Approach to Video Creation and Passive Income! Step into the future of content creation with our AI Human Avatar technology. This groundbreaking platform leverages the power of artificial intelligence to bring your ideas to life like never before. Say goodbye to conventional video creation processes - our AI Human Avatar effortlessly transforms your scripts into captivating, lifelike videos, eliminating the need for costly production teams and hours of editing. With our user-friendly interface, you become the director, controlling the appearance, voice, and gestures of your avatar. Unleash your creativity and produce high-quality videos in a fraction of the time. Whether you're a content creator, marketer, or educator, the AI Human Avatar offers unlimited possibilities. But that's not all - our platform opens doors to passive income opportunities. Share your AI-generated videos on popular platforms and watch your audience grow. Monetize your content effortlessly and turn your passion into a lucrative venture. Embrace the future of video creation and passive income with the AI Human Avatar. Start crafting compelling, engaging videos today and unlock the potential for financial freedom. Don't miss your chance to be part of this revolutionary wave of innovation! But the benefits don't stop there. Embrace the power of passive income through these avatars.