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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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    Get in-depth knowledge of a subject by completing a series of courses and projects.
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    Explore the GenAI Course Catalog

    • Status: New
      New
      U

      University of California, Davis

      AI Agents: From Prompts to Multi-Agent Systems

      Skills you'll gain: Prompt Engineering, Generative AI Agents, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), OpenAI, Artificial Intelligence, ChatGPT, Automation, Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      16 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      OpenAI for Beginners: AI Assistants for Project Managers

      Skills you'll gain: Generative AI, Application Deployment, OpenAI, Workflow Management, Artificial Intelligence, ChatGPT, Project Management, Prompt Engineering, Automation

      3.5
      Rating, 3.5 out of 5 stars
      ·
      12 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      Coding and Automation for Data Analysis with Generative AI

      Skills you'll gain: Prompt Engineering, Excel Formulas, Generative AI, Data Pipelines, Data Ethics, Data Processing, Teradata SQL, Debugging, Microsoft Excel, Automation, Artificial Intelligence, Data Analysis, Integrated Development Environments

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      M

      Microsoft

      Microsoft Cloud Support Associate

      Skills you'll gain: Microsoft 365, Network Security, Cloud Management, Microsoft Azure, Business Software, Computer Hardware, Virtual Machines, Identity and Access Management, Cybersecurity, Network Troubleshooting, Desktop Support, Virtual Private Networks (VPN), Azure Active Directory, Technical Support, Hardware Troubleshooting, Hardware Architecture, Generative AI, System Monitoring, Virtualization and Virtual Machines, Disaster Recovery

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • K

      Kennesaw State University

      AI for Education (Basic)

      Skills you'll gain: Prompt Engineering, Generative AI Agents, Generative AI, Data Ethics, Education Software and Technology, ChatGPT, Artificial Intelligence, End User Training and Support, Natural Language Processing

      4.9
      Rating, 4.9 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Sequences, Time Series and Prediction

      Skills you'll gain: Tensorflow, Time Series Analysis and Forecasting, Applied Machine Learning, Deep Learning, Predictive Modeling, Artificial Neural Networks, Forecasting, Data Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      5.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Introduction to Generative AI - בעברית

      Skills you'll gain: Generative AI, Google Cloud Platform, Application Development, Artificial Intelligence, Machine Learning Methods, Machine Learning

      Beginner · Course · 1 - 4 Weeks

    • 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
      D

      DeepLearning.AI

      TensorFlow: Advanced Techniques

      Skills you'll gain: Generative AI, Tensorflow, Computer Vision, Image Analysis, Deep Learning, Keras (Neural Network Library), Applied Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Feature Engineering, Distributed Computing, Computer Graphics, Unsupervised Learning, Network Model, Visualization (Computer Graphics), Network Architecture, Performance Tuning, Machine Learning Methods, API Design, Object Oriented Programming (OOP)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.7K reviews

      Intermediate · Specialization · 3 - 6 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, Marketing Strategies, Content Performance Analysis, Content Creation, Artificial Intelligence, User Experience

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

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      J

      Johns Hopkins University

      Managing AI Projects: From Strategy to Delivery

      Skills you'll gain: Stakeholder Engagement, Stakeholder Management, Project Management, Project Risk Management, Data Ethics, Workforce Management, Risk Mitigation, Human Resources Management and Planning, Project Management Life Cycle, Agile Methodology, Artificial Intelligence, Team Management, Risk Management, Talent Management, Team Building, Scalability, Performance Appraisal, Diversity Training, Budget Management, Business Ethics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      21 reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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

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

    • AI Agents: From Prompts to Multi-Agent Systems: University of California, Davis
    • OpenAI for Beginners: AI Assistants for Project Managers: Coursera Project Network
    • Coding and Automation for Data Analysis with Generative AI: Microsoft
    • Microsoft Cloud Support Associate: Microsoft
    • AI for Education (Basic): Kennesaw State University
    • Sequences, Time Series and Prediction: DeepLearning.AI
    • Introduction to Generative AI - בעברית: Google Cloud
    • Evaluating and Debugging Generative AI: DeepLearning.AI
    • TensorFlow: Advanced Techniques: DeepLearning.AI
    • Google SEO Fundamentals: University of California, Davis

    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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