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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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    Build job-relevant skills in under 2 hours with hands-on tutorials.
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    Learn a new tool or skill in an interactive, hands-on environment.
    Get in-depth knowledge of a subject by completing a series of courses and projects.
    Earn career credentials from industry leaders that demonstrate your expertise.
    Earn career credentials while taking courses that count towards your Master’s degree.
    Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.
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    Explore the GenAI Course Catalog

    • G

      Google Cloud

      Vertex AI Tabular Data: Qwik Start

      Skills you'll gain: Google Cloud Platform, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Machine Learning Methods, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Data Manipulation

      Intermediate · Project · Less Than 2 Hours

    • C

      Coursera Instructor Network

      GenAI for Customer Service Representatives

      Skills you'll gain: AI Personalization, Generative AI, User Feedback, Customer Analysis, Customer Service, Customer experience improvement, Customer Engagement, Self Service Technologies, Artificial Intelligence, Business Ethics, Natural Language Processing

      Beginner · Course · 1 - 4 Weeks

    • B

      Board Infinity

      Introduction to Replit and Ghostwriter

      Skills you'll gain: Collaborative Software, Integrated Development Environments, Program Development, Debugging, Development Environment, Technical Writing, Computer Programming, Software Development Tools, Generative AI

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      B

      Board Infinity

      DeepSeek Essentials: From Foundations to Real-World Use

      Skills you'll gain: Open Source Technology, Large Language Modeling, AI Personalization, Prompt Engineering, Generative AI, Artificial Intelligence, Applied Machine Learning, Application Programming Interface (API), Natural Language Processing, Data Security

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Data Engineer, Big Data and ML on Google Cloud auf Deutsch

      Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Real Time Data, Dashboard, Tensorflow, Apache Spark, Big Data, Applied Machine Learning, PySpark, Cloud Storage, Data Processing, Data Analysis, Apache Hadoop, Feature Engineering, MLOps (Machine Learning Operations), Apache Hive, Artificial Intelligence and Machine Learning (AI/ML), Unstructured Data, Scalability

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      D

      DeepLearning.AI

      Building Applications with Vector Databases

      Skills you'll gain: Anomaly Detection, Database Application, Large Language Modeling, Semantic Web, Application Development, Natural Language Processing, Image Analysis, AI Personalization, Information Architecture

      4.2
      Rating, 4.2 out of 5 stars
      ·
      6 reviews

      Beginner · Project · Less Than 2 Hours

    • P

      Packt

      No-Code Machine Learning Using Amazon AWS SageMaker Canvas

      Skills you'll gain: AWS SageMaker, Applied Machine Learning, Machine Learning, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Data Processing, Version Control, Amazon S3, Data Validation, Cloud Services

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Identifying the Right Role for Yourself

      Skills you'll gain: Artificial Intelligence, Machine Learning, Data Science, Data Analysis, Data Architecture, Big Data, Analytical Skills, Business Analysis, Business Analytics, Cloud Computing Architecture, Cloud Engineering

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      W

      Whizlabs

      NVIDIA: Fundamentals of NLP and Transformers

      Skills you'll gain: Natural Language Processing, Text Mining, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Deep Learning, Data Processing, Machine Learning Methods, Data Cleansing

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Responsible AI for Developers: Interpretability & Transparency

      Skills you'll gain: Applied Machine Learning, Testability, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Artificial Intelligence, Interoperability, Data Ethics, Data-Driven Decision-Making, Technical Communication, Visualization (Computer Graphics)

      4.9
      Rating, 4.9 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 4 Weeks

    • N

      Northeastern University

      Aligning Business Strategy for AI Integration

      Skills you'll gain: Competitive Analysis, Machine Learning, Business Strategy, Business Intelligence, Business Ethics, Organizational Strategy, Business, Business Analytics, Strategic Thinking, Market Analysis, Artificial Intelligence, Process Analysis, Value Engineering, Artificial Intelligence and Machine Learning (AI/ML), Analytics, Risk Analysis, Resource Management

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Web Scraping With GPT: Translate Foreign News Headlines

      Skills you'll gain: Web Scraping, Real Time Data, OpenAI, Natural Language Processing, Python Programming, Web Applications, Generative AI, Application Development

      Intermediate · Guided Project · Less Than 2 Hours

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

    • Vertex AI Tabular Data: Qwik Start: Google Cloud
    • GenAI for Customer Service Representatives: Coursera Instructor Network
    • Introduction to Replit and Ghostwriter: Board Infinity
    • DeepSeek Essentials: From Foundations to Real-World Use: Board Infinity
    • Data Engineer, Big Data and ML on Google Cloud auf Deutsch: Google Cloud
    • Building Applications with Vector Databases: DeepLearning.AI
    • No-Code Machine Learning Using Amazon AWS SageMaker Canvas: Packt
    • Identifying the Right Role for Yourself: University of California, Irvine
    • NVIDIA: Fundamentals of NLP and Transformers : Whizlabs
    • Responsible AI for Developers: Interpretability & Transparency: 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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