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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: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      IBM Java Developer

      Skills you'll gain: Spring Framework, Prompt Engineering, HTML and CSS, Cloud-Native Computing, Software Development Life Cycle, Software Architecture, Hibernate (Java), Database Design, Docker (Software), Containerization, Git (Version Control System), GitHub, Software Design, Microservices, Object Oriented Programming (OOP), Large Language Modeling, Spring Boot, Object-Relational Mapping, Java Programming, Interviewing Skills

      4.6
      Rating, 4.6 out of 5 stars
      ·
      5.5K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • G

      Google Cloud

      Introduction to Generative AI - Français

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

      4.3
      Rating, 4.3 out of 5 stars
      ·
      26 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      B

      Board Infinity

      Generative AI in Finance

      Skills you'll gain: Prompt Engineering, Generative AI, Data Ethics, Financial Data, Anomaly Detection, Large Language Modeling, Regulatory Compliance, Artificial Intelligence, Investment Management, Financial Modeling, Machine Learning, FinTech, Investments, Financial Services, Financial Forecasting, Portfolio Management, Credit Risk, Artificial Intelligence and Machine Learning (AI/ML), Compliance Management, Automation

      Beginner · Course · 1 - 4 Weeks

    • M

      Microsoft

      Ethical and Regulatory Implications of Generative AI

      Skills you'll gain: Regulatory Compliance, Compliance Management, Data Ethics, Generative AI, Regulatory Requirements, Governance, Regulatory Affairs, Legal Risk, Artificial Intelligence, Business Ethics, Ethical Standards And Conduct, Risk Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      13 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Leveraging Generative AI for Social Impact Organizations

      Skills you'll gain: Prompt Engineering, Generative AI, Workflow Management, Service Improvement, Resource Utilization, ChatGPT, Customer experience improvement, Business Process Automation, Capacity Planning, Artificial Intelligence, Content Creation, Business Ethics, Automation, Data Management

      4.4
      Rating, 4.4 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      AI Agents in Java with Generative AI

      Skills you'll gain: Generative AI Agents, Java, Agentic systems, Software Design, Artificial Intelligence, Software Architecture, OpenAI, ChatGPT, Software Development Tools, Application Development, Prompt Engineering, Systems Integration, Large Language Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 3 Months

    • L

      Lund University

      Artificial Intelligence: Ethics & Societal Challenges

      Skills you'll gain: Data Ethics, Artificial Intelligence, Social Justice, Algorithms, Ethical Standards And Conduct, Information Privacy, Political Sciences, Emerging Technologies, Governance, Law, Regulation, and Compliance

      4.7
      Rating, 4.7 out of 5 stars
      ·
      268 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI: Accelerate your Digital Marketing Career

      Skills you'll gain: Digital Advertising, Email Marketing, Generative AI, Digital Marketing, Marketing Automation, AI Personalization, Marketing Analytics, Advertising Campaigns, Marketing, Marketing Strategies, Content Creation, Keyword Research, Prompt Engineering, Search Engine Optimization, Copywriting, Business Ethics, E-Commerce, Customer experience improvement

      5
      Rating, 5 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 3 Months

    • S

      Scrimba

      Build AI Apps with ChatGPT, Dall-E, and GPT-4

      Skills you'll gain: Prompt Engineering, Version Control, OpenAI, GitHub, ChatGPT, Generative AI, Cloud API, Application Programming Interface (API), Application Deployment, Real Time Data, Artificial Intelligence, Data Ethics, Image Analysis, Large Language Modeling, Application Security

      4.4
      Rating, 4.4 out of 5 stars
      ·
      162 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Get Started with Python

      Skills you'll gain: Object Oriented Programming (OOP), Data Analysis, Data Structures, Jupyter, Python Programming, NumPy, Pandas (Python Package), Programming Principles, Scripting, Data Manipulation, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.6K reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Advanced Learning Algorithms

      Skills you'll gain: Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Tensorflow, Artificial Intelligence, Supervised Learning, Deep Learning, Random Forest Algorithm, Artificial Neural Networks, Performance Tuning

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7.8K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Glasgow

      Generative AI for Healthcare Students and Professionals

      Skills you'll gain: Data Ethics, Healthcare Industry Knowledge, Predictive Modeling, Healthcare Ethics, Generative AI, Prompt Engineering, Artificial Intelligence, Deep Learning, Health Care, Artificial Neural Networks, Image Analysis, Health Informatics, Medical Imaging, Augmented and Virtual Reality (AR/VR), Radiology, Bayesian Statistics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • IBM Java Developer: IBM
    • Introduction to Generative AI - Français: Google Cloud
    • Generative AI in Finance: Board Infinity
    • Ethical and Regulatory Implications of Generative AI: Microsoft
    • Leveraging Generative AI for Social Impact Organizations: University of Michigan
    • AI Agents in Java with Generative AI: Vanderbilt University
    • Artificial Intelligence: Ethics & Societal Challenges: Lund University
    • Generative AI: Accelerate your Digital Marketing Career: IBM
    • Build AI Apps with ChatGPT, Dall-E, and GPT-4: Scrimba
    • Get Started with Python: Google

    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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