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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

    • C

      Coursera Instructor Network

      GenAI for Digital Marketing Specialists

      Skills you'll gain: Generative AI, Marketing Analytics, Data Ethics, Brand Strategy, Content Creation, Prompt Engineering, Marketing, Marketing Automation, AI Personalization, Data-Driven Decision-Making, Competitive Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      35 reviews

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Introduction to Image Generation

      Skills you'll gain: Generative AI, Google Cloud Platform, Image Analysis, Deep Learning, Unsupervised Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      182 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Computer Simulations

      Skills you'll gain: Simulations, Social Sciences, Systems Thinking, Agentic systems, Network Analysis, Computational Thinking, Sociology, Economics, Artificial Intelligence and Machine Learning (AI/ML), Computer Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      83 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Advanced Creative Thinking and AI: Tools for Success

      Skills you'll gain: Design Thinking, Creative Thinking, Creativity, Brainstorming, Cognitive flexibility, Ideation, Innovation, Artificial Intelligence, Critical Thinking, Problem Solving

      4.7
      Rating, 4.7 out of 5 stars
      ·
      80 reviews

      Advanced · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      KI für alle

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Business Strategy, Data Ethics, Data Science, Business Analytics, Artificial Neural Networks, Machine Learning, Cross-Functional Collaboration, Deep Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      16 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      A

      Amazon Web Services

      AI Fundamentals and the Cloud

      Skills you'll gain: Prompt Engineering, Data Ethics, Amazon Web Services, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Cloud Development, Public Cloud, Large Language Modeling, Generative AI, Business Ethics, Machine Learning, Application Development

      4.8
      Rating, 4.8 out of 5 stars
      ·
      13 reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Introduction to AI: Key Concepts and Applications

      Skills you'll gain: Performance Metric, Artificial Intelligence and Machine Learning (AI/ML), Strategic Leadership, Strategic Decision-Making, Data Quality, Applied Machine Learning, Data Ethics, Machine Learning, Supervised Learning, Algorithms, Artificial Neural Networks, Data Validation, Random Forest Algorithm, Resource Utilization, System Requirements

      4.8
      Rating, 4.8 out of 5 stars
      ·
      17 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Digital Technology in Manufacturing

      Skills you'll gain: Product Lifecycle Management, Embedded Systems, Embedded Software, Manufacturing and Production, Robotic Process Automation, Manufacturing Processes, Control Systems, Computer-Aided Design, Manufacturing Operations, Programmable Logic Controllers, Automation, Internet Of Things, Production Process, Mechanical Design, Cyber Engineering, Lean Manufacturing, Digital Transformation, Business Technologies, Engineering Analysis, C (Programming Language)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      18 reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Cybersecurity Job Search, Resume, and Interview Prep

      Skills you'll gain: Interviewing Skills, Professional Networking, Presentations, LinkedIn, Cybersecurity, Applicant Tracking Systems, Market Research, Social Media, Business Research, Recruitment, Portfolio Management, Negotiation, Writing, Compensation Strategy, Recruitment Strategies, Communication

      4.8
      Rating, 4.8 out of 5 stars
      ·
      76 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Llama for Python Programmers

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Application Development, Generative AI, Python Programming, Natural Language Processing, Open Source Technology

      4.7
      Rating, 4.7 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      Unilever

      Advanced Tools for Digital Marketing Analytics

      Skills you'll gain: Marketing Automation, Marketing Analytics, Digital Marketing, Predictive Analytics, MarTech, Advanced Analytics, Analytics, Marketing Operations, Marketing Effectiveness, Marketing, Marketing Strategies, Marketing Channel, Data Analysis, Natural Language Processing, Data Ethics, Business Ethics, Video Production, Artificial Intelligence, Scalability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      50 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      MLOps Platforms: Amazon SageMaker and Azure ML

      Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Predictive Modeling, Serverless Computing, Machine Learning, Machine Learning Algorithms, Containerization

      3.6
      Rating, 3.6 out of 5 stars
      ·
      48 reviews

      Advanced · Course · 1 - 3 Months

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

    • GenAI for Digital Marketing Specialists: Coursera Instructor Network
    • Introduction to Image Generation: Google Cloud
    • Computer Simulations: University of California, Davis
    • Advanced Creative Thinking and AI: Tools for Success: Imperial College London
    • KI für alle: DeepLearning.AI
    • AI Fundamentals and the Cloud: Amazon Web Services
    • Introduction to AI: Key Concepts and Applications: Johns Hopkins University
    • Digital Technology in Manufacturing: L&T EduTech
    • Cybersecurity Job Search, Resume, and Interview Prep: IBM
    • Llama for Python Programmers: University of Michigan

    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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