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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
      Free
      D

      DeepLearning.AI

      Evaluating and Debugging Generative AI

      Skills you'll gain: MLOps (Machine Learning Operations), Large Language Modeling, Jupyter, Generative AI, Data Store, Version Control, System Monitoring, Development Environment

      Intermediate · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Fundamentals of Reinforcement Learning

      Skills you'll gain: Reinforcement Learning, Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Markov Model, Algorithms, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.8K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Microsoft 365 Copilot for Leaders

      Skills you'll gain: Prompt Engineering, Microsoft Copilot, ChatGPT, Ideation, Verification And Validation, Data Validation, Succession Planning, Microsoft 365, Target Audience, Business Writing, Generative AI, Microsoft Teams, Leadership, Meeting Facilitation, Organizational Leadership, Productivity Software, Complex Problem Solving, Strategic Communication, Business Leadership, Proposal Writing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Google SEO Fundamentals

      Skills you'll gain: Search Engine Optimization, Web Analytics and SEO, Keyword Research, Content Strategy, Digital Marketing, Content Performance Analysis, Content Creation, Artificial Intelligence, Information Architecture, User Experience

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.7K reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of London

      Machine Learning for All

      Skills you'll gain: Feature Engineering, Machine Learning, Data Processing, Artificial Intelligence, Supervised Learning, Data Analysis, Computer Vision, Data Collection

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      A

      Amazon Web Services

      DevOps and AI on AWS: CI/CD for Generative AI Applications

      Skills you'll gain: Infrastructure as Code (IaC), Amazon CloudWatch, CI/CD, AWS CloudFormation, Application Deployment, Continuous Deployment, Amazon Web Services, Continuous Integration, DevOps, Generative AI, Cloud Applications, System Monitoring, Automation, Continuous Monitoring, Release Management

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      A

      Amazon Web Services

      Fundamentals of Machine Learning and Artificial Intelligence

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Deep Learning, Artificial Intelligence, AWS SageMaker, Amazon Web Services, Applied Machine Learning, Machine Learning, Digital Transformation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      496 reviews

      Mixed · Course · 1 - 4 Weeks

    • P

      Politecnico di Milano

      Trustworthy AI for Healthcare Management

      Skills you'll gain: Data Ethics, Artificial Intelligence, Health Care Procedure and Regulation, Health Assessment, Healthcare Ethics, Health Care, Health Informatics, Verification And Validation, Health Technology, Information Privacy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      61 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      From Data to Insights with Google Cloud

      Skills you'll gain: Looker (Software), Dashboard, SQL, Data Transformation, Big Data, Google Cloud Platform, Applied Machine Learning, Data Cleansing, Machine Learning, Cloud Infrastructure, Data Import/Export, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Data Access, Data Warehousing, Supervised Learning, Database Architecture and Administration, Data Visualization Software, Predictive Modeling, Deep Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Introduction to Large Language Models

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Generative AI, Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      988 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Snowflake

      Building Generative AI Apps to Talk to Your Data

      Skills you'll gain: Generative AI, Snowflake Schema, Large Language Modeling, Natural Language Processing, Unstructured Data, Artificial Intelligence, Application Development, Data Pipelines, User Interface (UI), Semantic Web, Data Processing, Real Time Data, SQL, Query Languages

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      M

      Microsoft

      Build a computer vision app with Azure Cognitive Services

      Skills you'll gain: Application Programming Interface (API), Microsoft Azure, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), User Accounts, Image Analysis, Artificial Intelligence, Cloud Solutions

      4.4
      Rating, 4.4 out of 5 stars
      ·
      300 reviews

      Intermediate · Guided Project · Less Than 2 Hours

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

    • Evaluating and Debugging Generative AI: DeepLearning.AI
    • Fundamentals of Reinforcement Learning: University of Alberta
    • Microsoft 365 Copilot for Leaders: Vanderbilt University
    • Google SEO Fundamentals: University of California, Davis
    • Machine Learning for All: University of London
    • DevOps and AI on AWS: CI/CD for Generative AI Applications: Amazon Web Services
    • Fundamentals of Machine Learning and Artificial Intelligence: Amazon Web Services
    • Trustworthy AI for Healthcare Management: Politecnico di Milano
    • From Data to Insights with Google Cloud: Google Cloud
    • Introduction to Large Language Models: Google Cloud

    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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