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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: Free
      Free
      M

      Microsoft

      Build a computer vision app with Azure Cognitive Services

      Skills you'll gain: Application Programming Interface (API), Microsoft Azure, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), User Accounts, Image Analysis, Artificial Intelligence, Cloud Solutions

      4.4
      Rating, 4.4 out of 5 stars
      ·
      295 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • 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

    • C

      Coursera Project Network

      Gen AI for Software Development: Code Generation for Python

      Skills you'll gain: Prompt Engineering, Generative AI, Development Environment, Computational Thinking, Artificial Intelligence, Python Programming, Computer Programming, Game Design, Debugging

      4
      Rating, 4 out of 5 stars
      ·
      8 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Generative AI with Vertex AI: Build a customer chatbot

      Skills you'll gain: Cloud API, Google Cloud Platform, Text Mining, Application Programming Interface (API), Large Language Modeling, Generative AI, Natural Language Processing, Data Processing, Jupyter

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Prompt Engineering Generative AI for Marketing & Advertising

      Skills you'll gain: Prompt Engineering, Marketing Design, Generative AI, A/B Testing, Advertising, Marketing, ChatGPT, Content Creation, Marketing Strategies, Marketing Analytics, Customer Insights, Social Media Content, OpenAI

      4.5
      Rating, 4.5 out of 5 stars
      ·
      60 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • 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
      ·
      89 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    What brings you to Coursera today?

    • C

      Coursera Project Network

      Promptly for Beginners: Build a Generative AI App

      Skills you'll gain: Generative AI, Prompt Engineering, Artificial Intelligence, Application Development, Social Media Campaigns, Marketing Automation, Application Deployment, Content Development and Management, Content Creation, Usability, User Feedback

      4.5
      Rating, 4.5 out of 5 stars
      ·
      15 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      GenAI For Business Analysis: Fine-Tuning LLMs

      Skills you'll gain: OpenAI, Large Language Modeling, Real Time Data, Data Manipulation, Generative AI, Python Programming, Artificial Intelligence, Performance Analysis, Customer Analysis, Business Analysis, Data Analysis, JSON

      4
      Rating, 4 out of 5 stars
      ·
      6 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • D

      Duke University

      GenAI Basics - How LLMs Work

      Skills you'll gain: Large Language Modeling, Generative AI, Natural Language Processing, Machine Learning, Artificial Intelligence, Data Processing, Data Science, Data Modeling

      3.9
      Rating, 3.9 out of 5 stars
      ·
      24 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • M

      Microsoft

      Develop Clustering Models with Azure ML Designer

      Skills you'll gain: Microsoft Azure, Unsupervised Learning, Applied Machine Learning, Predictive Analytics, Data Transformation, Cloud Development, Exploratory Data Analysis, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), User Accounts

      5
      Rating, 5 out of 5 stars
      ·
      9 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Adobe Photoshop for Beginners: Generative AI Images

      Skills you'll gain: Photo Editing, Adobe Photoshop, Generative AI, Adobe Creative Cloud, Data Import/Export, Editing, Graphic Design

      4.7
      Rating, 4.7 out of 5 stars
      ·
      30 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Copywriting with ChatGPT: Produce Compelling Copy That Sells

      Skills you'll gain: Copywriting, User Research, Target Audience, Customer Insights, Prompt Engineering, ChatGPT, Writing and Editing, Marketing Materials, Marketing Collateral, Target Market, Content Creation, Product Knowledge, Value Propositions, Editing, Brand Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      58 reviews

      Beginner · 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

    • Build a computer vision app with Azure Cognitive Services: Microsoft
    • Introduction to Retrieval Augmented Generation (RAG): Duke University
    • Gen AI for Software Development: Code Generation for Python: Coursera Project Network
    • Generative AI with Vertex AI: Build a customer chatbot: Coursera Project Network
    • Prompt Engineering Generative AI for Marketing & Advertising: Coursera Project Network
    • Deep Learning with PyTorch : Generative Adversarial Network: Coursera Project Network
    • Promptly for Beginners: Build a Generative AI App: Coursera Project Network
    • GenAI For Business Analysis: Fine-Tuning LLMs: Coursera Project Network
    • GenAI Basics - How LLMs Work: Duke University
    • Develop Clustering Models with Azure ML Designer: Microsoft

    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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