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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
      U

      University of Michigan

      GenAI in Business: Strategies for Successful Execution

      Skills you'll gain: Generative AI, Customer experience strategy (CX), Solution Delivery, Innovation, Performance Analysis, Performance Measurement, Project Risk Management, Project Performance, Solution Design, Risk Management, Business Process, Experience Design, Communication Strategies, Business Metrics, Stakeholder Communications, Business Risk Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      16 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Applied Machine Learning

      Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Computer Vision, Machine Learning Algorithms, Applied Machine Learning, Image Analysis, Dimensionality Reduction, Supervised Learning, Reinforcement Learning, Feature Engineering, Regression Analysis, Data Cleansing, Machine Learning, Data Mining, Scikit Learn (Machine Learning Library), Statistical Machine Learning, Advanced Analytics, Deep Learning, Artificial Neural Networks, Decision Tree Learning

      3.6
      Rating, 3.6 out of 5 stars
      ·
      9 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Data Engineer, Big Data and ML on Google Cloud em Português

      Skills you'll gain: Data Pipelines, Looker (Software), Google Cloud Platform, Dataflow, Data Lakes, Data Visualization, Extract, Transform, Load, Tensorflow, Data Presentation, Data Integration, MLOps (Machine Learning Operations), Big Data, Data Warehousing, Real Time Data, Cloud Storage, Data Infrastructure, Cloud Solutions, Data Processing, Data Transformation, Artificial Intelligence and Machine Learning (AI/ML)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      123 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IIMA - IIM Ahmedabad

      How to Transform Digitally?

      Skills you'll gain: Digital Transformation, Business Transformation, Stakeholder Engagement, Organizational Change, Change Management, Business Modeling, Technology Strategies, Enterprise Architecture, Cloud Computing Architecture, Governance, Business Technologies, Operational Excellence, Workforce Development, Cybersecurity

      4.8
      Rating, 4.8 out of 5 stars
      ·
      29 reviews

      Beginner · Course · 1 - 3 Months

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

      SkillUp EdTech

      Product Owner: Essential Skills and Tools for Innovation

      Skills you'll gain: Backlogs, Agile Product Development, Product Roadmaps, Product Strategy, Product Planning, Sprint Planning, Product Management, User Story, Strategic Planning, Agile Methodology, Scaled Agile Framework, Lean Methodologies, Product Development, Prioritization, Release Management

      5
      Rating, 5 out of 5 stars
      ·
      20 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Instructor Network

      GenAI for Computer Support Specialists (IT Support)

      Skills you'll gain: Desktop Support, Generative AI, Technical Support and Services, End User Training and Support, System Support, Prompt Engineering, Help Desk Support, Network Support, IT Automation, Product Support, Data Ethics, Artificial Intelligence, Automation

      3.9
      Rating, 3.9 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      SAS

      Launching Machine Learning: Delivering Operational Success with Gold Standard ML Leadership

      Skills you'll gain: Data Ethics, Technical Management, MLOps (Machine Learning Operations), Applied Machine Learning, Performance Measurement, Leadership and Management, Predictive Analytics, Data Processing, Business Leadership, Business Metrics, Strategic Leadership, Business Transformation, Data-Driven Decision-Making

      4.8
      Rating, 4.8 out of 5 stars
      ·
      77 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      How Google does Machine Learning 日本語版

      Skills you'll gain: Google Cloud Platform, Tensorflow, Machine Learning, Big Data, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Deep Learning, Data Ethics, Natural Language Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      132 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Launching into Machine Learning 日本語版

      Skills you'll gain: Data Quality, Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Supervised Learning, Data Processing, Machine Learning Algorithms, Google Cloud Platform, Data Analysis, Sampling (Statistics), Big Data, Performance Tuning, Regression Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      50 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      AI Content Creation with DALL-E: Visual SEO Strategy

      Skills you'll gain: Prompt Engineering, Generative AI, Blogs, Search Engine Optimization, Content Strategy, Web Content, Content Creation, Keyword Research, ChatGPT, Web Analytics and SEO

      4.7
      Rating, 4.7 out of 5 stars
      ·
      11 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      D

      DeepLearning.AI

      Knowledge Graphs for RAG

      Skills you'll gain: Large Language Modeling, Query Languages, Data Storage Technologies, Data Storage, Semantic Web, Unstructured Data, Graph Theory, Text Mining

      4.7
      Rating, 4.7 out of 5 stars
      ·
      73 reviews

      Intermediate · Project · Less Than 2 Hours

    • C

      Coursera Instructor Network

      How to Develop an Account Strategy

      Skills you'll gain: Account Strategy, Account Management, Customer Success Management, Customer experience strategy (CX), Customer Engagement, Customer Service, Customer Relationship Management, Milestones (Project Management), Relationship Building, Expectation Management, Data-Driven Decision-Making, Business Relationship Management

      4.1
      Rating, 4.1 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    Generative AI learners also search

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

    • GenAI in Business: Strategies for Successful Execution: University of Michigan
    • Applied Machine Learning: Johns Hopkins University
    • Data Engineer, Big Data and ML on Google Cloud em Português: Google Cloud
    • How to Transform Digitally?: IIMA - IIM Ahmedabad
    • Product Owner: Essential Skills and Tools for Innovation: SkillUp EdTech
    • GenAI for Computer Support Specialists (IT Support): Coursera Instructor Network
    • Launching Machine Learning: Delivering Operational Success with Gold Standard ML Leadership: SAS
    • How Google does Machine Learning 日本語版: Google Cloud
    • Launching into Machine Learning 日本語版: Google Cloud
    • AI Content Creation with DALL-E: Visual SEO Strategy: Coursera Project Network

    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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