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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

    • G

      Google Cloud

      Vector Search and Embeddings

      Skills you'll gain: Large Language Modeling, Text Mining, Google Cloud Platform, Cloud API, Artificial Neural Networks

      4.4
      Rating, 4.4 out of 5 stars
      ·
      18 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Customer Service with Python: Build a Chatbot using ChatGPT

      Skills you'll gain: ChatGPT, Prompt Engineering, OpenAI, Artificial Intelligence, Customer Service, Application Programming Interface (API), User Flows, Python Programming, Test Case, Development Environment, E-Commerce, Debugging

      4.4
      Rating, 4.4 out of 5 stars
      ·
      17 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of Illinois Urbana-Champaign

      Emerging Technology, Disruption, and AI

      Skills you'll gain: Emerging Technologies, Decision Making, Technology Strategies, Business Transformation, Innovation, Strategic Thinking, Artificial Intelligence, Automation, Data Ethics, Storytelling, Probability, Scenario Testing

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      27 reviews

      Beginner · Course · 1 - 4 Weeks

    • F

      Fred Hutchinson Cancer Center

      AI for Decision Makers

      Skills you'll gain: Data Ethics, Technology Strategies, Artificial Intelligence, Business Ethics, Business Leadership, Strategic Leadership, Artificial Intelligence and Machine Learning (AI/ML), Project Management, Organizational Leadership, Law, Regulation, and Compliance, Resource Allocation, Ethical Standards And Conduct, Regulation and Legal Compliance, Decision Making, Generative AI, Applied Machine Learning, Information Privacy

      4.6
      Rating, 4.6 out of 5 stars
      ·
      16 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Deep Learning with PyTorch : Generative Adversarial Network

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Deep Learning, Artificial Neural Networks, Computer Vision, Applied Machine Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      90 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      S

      Scrimba

      Retrieval-Augmented Generation (RAG) with Embeddings & Vector Databases

      Skills you'll gain: ChatGPT, Development Environment, Text Mining, Generative AI, OpenAI, Database Management, Data Storage, Data Processing, Natural Language Processing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      29 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      Edureka

      Machine Learning and NLP Basics

      Skills you'll gain: Natural Language Processing, Deep Learning, Predictive Modeling, Text Mining, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Tensorflow, Applied Machine Learning, Machine Learning Algorithms, Supervised Learning, Artificial Neural Networks, Unstructured Data

      3.4
      Rating, 3.4 out of 5 stars
      ·
      25 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Copilot for Sales

      Skills you'll gain: Microsoft Copilot, Sales Presentation, Sales Enablement, Taking Meeting Minutes, Microsoft Teams, Meeting Facilitation, Generative AI Agents, Microsoft Outlook, Sales Process, Customer Communications Management, Microsoft 365, Calendar Management, Email Marketing, Negotiation, Customer Relationship Building, Automation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • K

      Korea Advanced Institute of Science and Technology(KAIST)

      Design Thinking and Global Startup

      Skills you'll gain: Design Thinking, Business Modeling, Entrepreneurship, Product Development, Prototyping, Presentations, Lean Methodologies, Human Centered Design, Value Propositions, Innovation, Emerging Technologies, Market Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      131 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      GenAI in Business: Planning Framework for Implementation

      Skills you'll gain: Generative AI, Data Integration, Data Strategy, Business Planning, Business Analysis, Data Quality, Technology Roadmaps, Business Solutions, Solution Design, Business Transformation, Stakeholder Communications

      4.7
      Rating, 4.7 out of 5 stars
      ·
      18 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Vector Databases: An Introduction with Chroma DB

      Skills you'll gain: NoSQL, Databases, Database Architecture and Administration, Database Management, Generative AI, Data Architecture, AI Personalization, Data Storage Technologies, Image Analysis, Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      33 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Machine Learning with PySpark: Customer Churn Analysis

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Data Analysis, PySpark, Data Processing, Data Cleansing, Data Transformation, Apache Spark, Data-Driven Decision-Making, Decision Tree Learning, Predictive Modeling, Predictive Analytics, Applied Machine Learning, Application Deployment, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    Generative AI learners also search

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

    • Vector Search and Embeddings: Google Cloud
    • Customer Service with Python: Build a Chatbot using ChatGPT: Coursera Project Network
    • Emerging Technology, Disruption, and AI: University of Illinois Urbana-Champaign
    • AI for Decision Makers: Fred Hutchinson Cancer Center
    • Deep Learning with PyTorch : Generative Adversarial Network: Coursera Project Network
    • Retrieval-Augmented Generation (RAG) with Embeddings & Vector Databases: Scrimba
    • Machine Learning and NLP Basics: Edureka
    • Copilot for Sales: Microsoft
    • Design Thinking and Global Startup: Korea Advanced Institute of Science and Technology(KAIST)
    • GenAI in Business: Planning Framework for Implementation: 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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