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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

      The State University of New York

      How to Get Skilled: Introduction to Individual Skills Management (Project-Centered Course)

      Skills you'll gain: Benchmarking, Professional Development, LinkedIn, Planning, Performance Measurement, Performance Analysis, Job Analysis, Organizational Skills, Personal Development, Microsoft Excel, Self-Awareness

      4.1
      Rating, 4.1 out of 5 stars
      ·
      225 reviews

      Advanced · Course · 1 - 3 Months

    • U

      University of Maryland, College Park

      A Strategic Approach to Cybersecurity

      Skills you'll gain: Cybersecurity, Cyber Security Strategy, Cyber Governance, Cyber Risk, Cyber Security Assessment, Security Strategy, Cyber Security Policies, Security Management, Security Awareness, Threat Modeling, Information Privacy, Infrastructure Security, Risk Management, Vulnerability Assessments

      4.7
      Rating, 4.7 out of 5 stars
      ·
      38 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Scrimba

      Intro to AI Engineering

      Skills you'll gain: Prompt Engineering, OpenAI, Generative AI, Data Ethics, ChatGPT, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Application Programming Interface (API), Image Analysis, Large Language Modeling, Safety and Security

      4.6
      Rating, 4.6 out of 5 stars
      ·
      77 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      D

      DeepLearning.AI

      Building Systems with the ChatGPT API

      Skills you'll gain: ChatGPT, Large Language Modeling, Prompt Engineering, OpenAI, Cloud API, Generative AI, Self Service Technologies, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      231 reviews

      Beginner · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Gemini in Gmail

      Skills you'll gain: Gmail, Google Workspace, Generative AI, AI Personalization

      4.3
      Rating, 4.3 out of 5 stars
      ·
      28 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Instructor Network

      GenerativeAI for Customer Success

      Skills you'll gain: Customer Success Management, Generative AI Agents, Customer Service, Customer Support, Customer experience improvement, Customer Engagement, Personalized Service, Operational Efficiency, Technology Strategies, Business Process Automation, Data Ethics, Automation, Business Ethics

      4.5
      Rating, 4.5 out of 5 stars
      ·
      30 reviews

      Intermediate · 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

    • 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

    • 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

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Computer Simulations

      Skills you'll gain: Simulations, Social Sciences, Systems Thinking, Agentic systems, Computational Thinking, Sociology, Economics, Scientific Methods, 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

    • J

      Johns Hopkins University

      Introduction to AI: Key Concepts and Applications

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Performance Metric, 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

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

    • How to Get Skilled: Introduction to Individual Skills Management (Project-Centered Course): The State University of New York
    • A Strategic Approach to Cybersecurity: University of Maryland, College Park
    • Intro to AI Engineering: Scrimba
    • Building Systems with the ChatGPT API: DeepLearning.AI
    • Gemini in Gmail: Google Cloud
    • GenerativeAI for Customer Success: Coursera Instructor Network
    • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
    • Introduction to Image Generation: Google Cloud
    • GenAI for Digital Marketing Specialists: Coursera Instructor Network
    • Computer Simulations: University of California, Davis

    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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