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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

    • T

      Tecnológico de Monterrey

      Inteligencia Artificial centrada en el ser humano

      Skills you'll gain: Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Human Factors, Automation, Human Machine Interfaces, Agentic systems, Machine Learning, Human Computer Interaction, Human Centered Design, Ethical Standards And Conduct

      4.7
      Rating, 4.7 out of 5 stars
      ·
      112 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Toronto

      Gender Analytics for Innovation

      Skills you'll gain: Diversity Awareness, Diversity and Inclusion, Innovation, Analysis, Design Thinking, Sociology, Market Opportunities, Social Justice, Data Ethics, Risk Mitigation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      314 reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      Duke University

      Introduction to Retrieval Augmented Generation (RAG)

      Skills you'll gain: Data Import/Export, Pandas (Python Package), Generative AI, OpenAI, Application Programming Interface (API), Data Manipulation, Large Language Modeling, Databases, Natural Language Processing

      4.4
      Rating, 4.4 out of 5 stars
      ·
      40 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft SC-900 Exam Preparation and Practice

      Skills you'll gain: Azure Active Directory, Active Directory, Microsoft Azure, Security Controls, Identity and Access Management, Security Information and Event Management (SIEM), Generative AI, Cloud Security, Data Governance, Authentications, Network Security, Role-Based Access Control (RBAC), Data Security, Scenario Testing, System Monitoring, Threat Detection, Multi-Factor Authentication, Encryption

      4.7
      Rating, 4.7 out of 5 stars
      ·
      113 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Coursera

      The Role of the CEO in Navigating GenAI

      Skills you'll gain: Generative AI, Large Language Modeling, Business Leadership, Strategic Leadership, Business Communication, Digital Transformation, Strategic Decision-Making, Data-Driven Decision-Making, Organizational Change, Emerging Technologies, Business Strategy, Decision Making

      4.9
      Rating, 4.9 out of 5 stars
      ·
      101 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Introduction to Microsoft 365 Copilot

      Skills you'll gain: Microsoft Copilot, Prompt Engineering, Microsoft 365, Microsoft Outlook, Productivity Software, ChatGPT, Microsoft Word, Microsoft PowerPoint, Microsoft Excel, Artificial Intelligence, Generative AI, Identity and Access Management, Data Security

      4.6
      Rating, 4.6 out of 5 stars
      ·
      183 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Deep Learning with PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Applied Machine Learning, Supervised Learning, Regression Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      45 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Artificial Intelligence Ethics in Action

      Skills you'll gain: Data Ethics, OpenAI, Artificial Intelligence, Large Language Modeling, Ethical Standards And Conduct, Analytical Skills, Analysis, Machine Learning, Game Theory, Generative AI, Predictive Modeling, Natural Language Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      284 reviews

      Intermediate · Course · 1 - 4 Weeks

    • E

      Edureka

      GitHub Copilot: The AI Pair Programmer for Coding

      Skills you'll gain: Microsoft Copilot, GitHub, Generative AI, Software Development Tools, Artificial Intelligence, Integrated Development Environments, Programming Principles, Computer Programming, Software Development

      4.2
      Rating, 4.2 out of 5 stars
      ·
      65 reviews

      Beginner · Course · 1 - 4 Weeks

    • Y

      Yonsei University

      Deep Learning for Business

      Skills you'll gain: Deep Learning, Tensorflow, Artificial Neural Networks, Business Strategy, Image Analysis, Natural Language Processing, Artificial Intelligence, Machine Learning, Reinforcement Learning, Unsupervised Learning, Supervised Learning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      680 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      U

      University of Pennsylvania

      AI and Machine Learning Essentials with Python

      Skills you'll gain: Statistical Machine Learning, PyTorch (Machine Learning Library), Probability, Probability & Statistics, Sampling (Statistics), Deep Learning, Probability Distribution, Python Programming, Supervised Learning, Statistics, Machine Learning, Regression Analysis, Data Processing, Agentic systems, Data Science, Artificial Intelligence, Artificial Neural Networks, Algorithms, Computer Vision, Theoretical Computer Science

      4.6
      Rating, 4.6 out of 5 stars
      ·
      24 reviews

      Intermediate · Specialization · 3 - 6 Months

    • C

      Coursera Instructor Network

      AI-Enhanced Copywriting: SurferSEO, Upword and Anyword

      Skills you'll gain: Copywriting, Search Engine Optimization, Web Analytics and SEO, Target Audience, Content Creation, Web Content, Productivity Software, Brand Awareness, Marketing Automation, Generative AI

      4
      Rating, 4 out of 5 stars
      ·
      48 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Inteligencia Artificial centrada en el ser humano: Tecnológico de Monterrey
    • Gender Analytics for Innovation: University of Toronto
    • Introduction to Retrieval Augmented Generation (RAG): Duke University
    • Microsoft SC-900 Exam Preparation and Practice: Microsoft
    • The Role of the CEO in Navigating GenAI: Coursera
    • Introduction to Microsoft 365 Copilot: Microsoft
    • Deep Learning with PyTorch: IBM
    • Artificial Intelligence Ethics in Action: LearnQuest
    • GitHub Copilot: The AI Pair Programmer for Coding: Edureka
    • Deep Learning for Business: Yonsei University

    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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