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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 Project Network

      Copywriting with ChatGPT: Crafting High-Quality Blog Content

      Skills you'll gain: Prompt Engineering, ChatGPT, Blogs, Generative AI Agents, Content Creation, Copywriting, Writing and Editing, Customer Advocacy, Branding, Interviewing Skills

      4.2
      Rating, 4.2 out of 5 stars
      ·
      18 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      S

      SAS

      The Power of Machine Learning: Boost Business, Accumulate Clicks, Fight Fraud, and Deny Deadbeats

      Skills you'll gain: Predictive Modeling, Predictive Analytics, Data Ethics, Data-Driven Decision-Making, Machine Learning, Applied Machine Learning, Business Ethics, Decision Tree Learning, Business Analytics, Artificial Intelligence, Performance Analysis, Social Justice

      4.8
      Rating, 4.8 out of 5 stars
      ·
      148 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Power BI & Power Virtual Agents

      Skills you'll gain: Power BI, Dashboard, Microsoft Power Platform, Data Visualization, Data Integration, Business Intelligence, Performance Analysis, Data Security, Generative AI Agents, Microsoft Teams, Data Analysis Software, Data Modeling, Customer Engagement

      4.2
      Rating, 4.2 out of 5 stars
      ·
      28 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Certificado: Google Cloud Digital Leader

      Skills you'll gain: Cloud Management, Cloud Security, Real Time Data, Digital Transformation, Cloud Solutions, Serverless Computing, Distributed Denial-Of-Service (DDoS) Attacks, Google Cloud Platform, Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Application Programming Interface (API), Data Security, Public Cloud, Cloud Computing, Cloud Storage, Cost Management, Containerization, Cloud Applications, Data Warehousing, Business Transformation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      20 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Gemini in Google Docs

      Skills you'll gain: Google Workspace, Generative AI, Prompt Engineering, Document Management, Collaborative Software

      4.1
      Rating, 4.1 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Virtualization, Docker, and Kubernetes for Data Engineering

      Skills you'll gain: Site Reliability Engineering, Docker (Software), Containerization, Kubernetes, Virtualization, Devops Tools, Microservices, Development Environment, Software Development Tools, Application Deployment, Virtual Machines, Software Development, Cloud Development, Database Management, GitHub, Scalability

      3.9
      Rating, 3.9 out of 5 stars
      ·
      39 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free
      Free
      D

      DeepLearning.AI

      LangChain for LLM Application Development

      Skills you'll gain: Large Language Modeling, Generative AI Agents, Prompt Engineering, OpenAI, Generative AI, Application Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      145 reviews

      Beginner · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Content Development and Management

      Skills you'll gain: Editing, Content Development and Management, Proofreading, Public Relations, Content Creation, Writing and Editing, Content Management, Web Content, Marketing and Public Relations, Content Management Systems, Press Releases, Content Strategy, Social Media Content, Promotions and Campaigns, Media and Communications, Generative AI Agents, Scheduling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      17 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Gemini in Google Sheets

      Skills you'll gain: Workflow Management, Productivity Software, Google Sheets, Prompt Engineering, Google Workspace, Generative AI, Project Planning, Spreadsheet Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Generative Leadership: Inspiring Adaptability in an AI World

      Skills you'll gain: Adaptability, Open Mindset, Thought Leadership, Organizational Leadership, Organizational Change, Strategic Leadership, Dealing With Ambiguity, Leadership, Business Transformation, Digital Transformation, Innovation, Artificial Intelligence, Threat Management, Emotional Intelligence

      4.5
      Rating, 4.5 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      AI-Powered Data Analysis: A Practical Introduction

      Skills you'll gain: Analytical Skills, Data Analysis, Data Cleansing, Data Manipulation, Generative AI, ChatGPT, Data Visualization Software, Statistical Analysis, Artificial Intelligence, Data Collection, Data Management, GitHub, Technical Support, Git (Version Control System), Integrated Development Environments

      4.3
      Rating, 4.3 out of 5 stars
      ·
      13 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Health Data Science Foundation

      Skills you'll gain: Health Informatics, Deep Learning, Machine Learning, Health Care, Artificial Neural Networks, Supervised Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Unsupervised Learning, Program Development, Predictive Modeling

      3
      Rating, 3 out of 5 stars
      ·
      28 reviews

      Advanced · 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

    • Copywriting with ChatGPT: Crafting High-Quality Blog Content: Coursera Project Network
    • The Power of Machine Learning: Boost Business, Accumulate Clicks, Fight Fraud, and Deny Deadbeats: SAS
    • Power BI & Power Virtual Agents: Microsoft
    • Certificado: Google Cloud Digital Leader: Google Cloud
    • Gemini in Google Docs: Google Cloud
    • Virtualization, Docker, and Kubernetes for Data Engineering: Duke University
    • LangChain for LLM Application Development: DeepLearning.AI
    • Content Development and Management: Microsoft
    • Gemini in Google Sheets: Google Cloud
    • Generative Leadership: Inspiring Adaptability in an AI World: 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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