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    • Generative Ai

    Generative AI Courses Online

    Explore generative AI for creating new content. Learn about GANs, creative applications, and AI-generated media.

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    Explore the GenAI Course Catalog

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Copilot Best Practices, Ethics and Regulatory Implications

      Skills you'll gain: Microsoft Copilot, Regulation and Legal Compliance, Data Ethics, Data Governance, Compliance Training, Compliance Management, Information Privacy, Prompt Engineering, Ethical Standards And Conduct, Artificial Intelligence, Intellectual Property, Business Ethics, Generative AI Agents, Process Optimization, Accountability, Diversity and Inclusion

      4.6
      Rating, 4.6 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Mining Quality Prediction Using Machine & Deep Learning

      Skills you'll gain: Regression Analysis, Predictive Modeling, Exploratory Data Analysis, Scikit Learn (Machine Learning Library), Supervised Learning, Applied Machine Learning, Decision Tree Learning, Statistical Analysis, Data Analysis, Test Data, Artificial Neural Networks, Data Import/Export, Pandas (Python Package), Software Visualization

      4.8
      Rating, 4.8 out of 5 stars
      ·
      66 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      G

      Google Cloud

      Create Engaging Video with Google Vids

      Skills you'll gain: Storytelling, Video Production, Photo/Video Production and Technology, Video Editing, Generative AI, Multimedia, Media Production, Google Workspace

      4.4
      Rating, 4.4 out of 5 stars
      ·
      15 reviews

      Beginner · Course · 1 - 4 Weeks

    • B

      Board Infinity

      Security for Artificial Intelligence Software and Services

      Skills you'll gain: Secure Coding, Data Ethics, Vulnerability Assessments, Security Strategy, Security Engineering, Threat Modeling, Data Security, Penetration Testing, Security Controls, Artificial Intelligence, Cybersecurity, Continuous Monitoring, Encryption, Information Privacy

      3.5
      Rating, 3.5 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Instructor Network

      GenAI for Financial Data Analysis

      Skills you'll gain: Generative AI, Financial Data, Complex Problem Solving, Microsoft Copilot, Data Ethics, ChatGPT, Data-Driven Decision-Making, Data Analysis, Financial Modeling, Financial Analysis, Artificial Intelligence, Business Ethics

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Architecting with Google Kubernetes Engine en Français

      Skills you'll gain: Kubernetes, Prompt Engineering, Cloud Infrastructure, Google Cloud Platform, Cloud Applications, Cloud-Native Computing, CI/CD, Identity and Access Management, Infrastructure As A Service (IaaS), Continuous Delivery, Containerization, Application Performance Management, Cloud Computing, Continuous Integration, Network Infrastructure, Cloud Computing Architecture, Generative AI, Scalability, Cloud Storage, Application Deployment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      92 reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Perplexity.AI for Beginners: AI-Powered Search

      Skills you'll gain: Prompt Engineering, Artificial Intelligence, Information Architecture, Data Compilation, Data Presentation, Generative AI

      3.3
      Rating, 3.3 out of 5 stars
      ·
      12 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      S

      SAS

      Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls

      Skills you'll gain: Predictive Modeling, Machine Learning, Data Ethics, Predictive Analytics, Statistical Modeling, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Decision Tree Learning, Business Metrics, Data Analysis, Performance Measurement, Regression Analysis, Ethical Standards And Conduct, Deep Learning, Artificial Neural Networks

      4.9
      Rating, 4.9 out of 5 stars
      ·
      64 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Build your first Machine Learning Pipeline using Dataiku

      Skills you'll gain: Data Import/Export, Exploratory Data Analysis, Predictive Modeling, Applied Machine Learning, Data Pipelines, Data Manipulation, Data Analysis, Time Series Analysis and Forecasting

      4.5
      Rating, 4.5 out of 5 stars
      ·
      58 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      GitHub Copilot for Project Management

      Skills you'll gain: Microsoft Copilot, Microsoft Visual Studio, GitHub, Code Review, Continuous Integration, Program Development, Software Documentation, Maintainability, Test Automation, Web Development Tools, Technical Documentation, Generative AI, Artificial Intelligence, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Maryland, College Park

      Advanced Digital Marketing

      Skills you'll gain: Customer Retention, Loyalty Programs, Marketing Budgets, Brand Loyalty, Customer Acquisition Management, Competitive Analysis, Customer Analysis, Customer Relationship Management, Customer Insights, Marketing Channel, Online Advertising, Marketing Effectiveness, Digital Marketing, Social Media Campaigns, Business-To-Consumer, Cross-Channel Marketing, AI Personalization, Marketing Strategies, Customer Engagement, Marketing Analytics

      4.2
      Rating, 4.2 out of 5 stars
      ·
      14 reviews

      Intermediate · Specialization · 1 - 3 Months

    • C

      Coursera Project Network

      Robot Localization with Python and Particle Filters

      Skills you'll gain: Spatial Data Analysis, Artificial Intelligence, Data Manipulation, Simulations, NumPy, Computer Vision

      4.5
      Rating, 4.5 out of 5 stars
      ·
      24 reviews

      Advanced · Guided Project · Less Than 2 Hours

    Generative AI learners also search

    Beginner Generative AI
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    In summary, here are 10 of our most popular generative ai courses

    • Copilot Best Practices, Ethics and Regulatory Implications: Microsoft
    • Mining Quality Prediction Using Machine & Deep Learning: Coursera Project Network
    • Create Engaging Video with Google Vids: Google Cloud
    • Security for Artificial Intelligence Software and Services: Board Infinity
    • GenAI for Financial Data Analysis: Coursera Instructor Network
    • Architecting with Google Kubernetes Engine en Français: Google Cloud
    • Perplexity.AI for Beginners: AI-Powered Search: Coursera Project Network
    • Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls: SAS
    • Build your first Machine Learning Pipeline using Dataiku : Coursera Project Network
    • GitHub Copilot for Project Management: Microsoft

    Frequently Asked Questions about Generative Ai

    Understanding why you want to learn generative AI, whether for research, creative projects, or enhancing AI skills, will guide your efforts. Regular practice with AI models and relevant data is essential. Join AI communities like GitHub or Reddit’s r/MachineLearning for resources and support. Work on real projects like building generative models or experimenting with neural networks. Coursera’s Generative AI Fundamentals Specialization by IBM is an excellent series of courses to start with.‎

    Generative AI courses on Coursera provide learners with the skills to engage with one of the most innovative areas of artificial intelligence:

    • Understanding the principles behind generative models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders).
    • Techniques for creating synthetic data, artworks, and realistic simulations.
    • Application of generative AI in various domains such as music, video, and text.
    • Programming skills to develop generative models using TensorFlow and PyTorch.
    • Ethical considerations in deploying generative AI technologies.
    • Best practices for training and optimizing generative models to ensure quality and efficiency.‎

    Generative AI courses on Coursera are structured to accommodate learners with different levels of expertise:

    • Beginners can start with introductory courses that cover basic AI concepts and foundational machine learning knowledge.
    • Intermediate learners can improve their understanding of deep learning and start working with generative models.
    • Advanced participants can explore cutting-edge applications and techniques in generative AI.‎

    Upon completing Generative AI courses on Coursera, learners can obtain credentials that may assist in their professional and academic pursuits:

    • Professional certificates that signify a foundational understanding and practical skills in generative AI.
    • Specializations that focus on specific aspects of generative AI, such as neural networks or creative applications.
    • Certificates that can be showcased to employers and academic institutions as evidence of specialized knowledge in a rapidly advancing field.‎

    Skills in Generative AI open the door to a range of cutting-edge career opportunities:

    • AI Research Scientist, developing new methods and technologies in generative AI.
    • Creative Technologist, integrating AI into digital art, marketing, and entertainment.
    • Machine Learning Engineer, specializing in building and training generative models.
    • Product Developer, using generative AI to innovate product designs and features.
    • Data Scientist, employing generative models for data augmentation and complex analyses.‎

    Yes, Coursera offers a variety of free courses across many topics, including generative AI. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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