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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

      NLP: Twitter Sentiment Analysis

      Skills you'll gain: Exploratory Data Analysis, Data Cleansing, Text Mining, Scikit Learn (Machine Learning Library), Probability & Statistics, Pandas (Python Package), Natural Language Processing, Data Processing, Statistical Modeling, Data Transformation, Data Analysis, Applied Machine Learning, Supervised Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      366 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      I

      IBM

      Gen AI Foundational Models for NLP & Language Understanding

      Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Large Language Modeling, Generative AI, Text Mining, Artificial Neural Networks, Deep Learning, Feature Engineering

      4.4
      Rating, 4.4 out of 5 stars
      ·
      116 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      AI and Climate Change

      Skills you'll gain: Image Analysis, Environmental Monitoring, Artificial Intelligence, Deep Learning, Data Processing, Forecasting, Machine Learning, Computer Vision, Environmental Science, Exploratory Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      120 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Introduction to Public Relations

      Skills you'll gain: Media Relations, Public Relations, Target Audience, Communication Planning, Marketing and Public Relations, Strategic Communication, Generative AI Agents, Corporate Communications, Performance Metric, Program Evaluation, Content Creation, Crisis Management, Ethical Standards And Conduct

      4.7
      Rating, 4.7 out of 5 stars
      ·
      73 reviews

      Beginner · Course · 1 - 3 Months

    • K

      Karlsruhe Institute of Technology

      Machine Translation

      Skills you'll gain: Natural Language Processing, Artificial Neural Networks, Deep Learning, Statistical Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Language Interpretation, Translation, and Studies, Statistical Modeling, Vocabulary, Analysis, Performance Tuning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      177 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      UNSW Sydney (The University of New South Wales)

      Designing the Future of Work

      Skills you'll gain: Design Thinking, Business Transformation, Strategic Thinking, Automation, Digital Transformation, Human Centered Design, Emerging Technologies, Adaptability, Innovation, Service Design, Forecasting, Customer experience strategy (CX)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      305 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Recommendation Systems on Google Cloud

      Skills you'll gain: Reinforcement Learning, Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, Deep Learning, Applied Machine Learning, Unsupervised Learning, Artificial Neural Networks, Feature Engineering, Predictive Modeling, Data Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      478 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Computer Vision Fundamentals with Google Cloud

      Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Supervised Learning, Google Cloud Platform, Machine Learning Methods, Feature Engineering, Artificial Intelligence and Machine Learning (AI/ML), Small Data, Data Processing, Cloud API

      4.5
      Rating, 4.5 out of 5 stars
      ·
      544 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Google Cloud Fundamentals: Core Infrastructure en Español

      Skills you'll gain: Identity and Access Management, Cloud Infrastructure, Google Cloud Platform, Cloud Applications, Infrastructure As A Service (IaaS), Kubernetes, Cloud Computing, Cloud Storage, Generative AI, Prompt Engineering, Network Infrastructure, Containerization, Serverless Computing, Load Balancing, Scalability

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Graphic Elements of Design: Color Theory and Image Formats

      Skills you'll gain: Logo Design, Color Theory, Color Matching, Graphic Design, Graphic and Visual Design, Design, Design Elements And Principles, Digital Design, Adobe Illustrator, Adobe Photoshop, File Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      574 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Innovations in Investment Technology: Artificial Intelligence

      Skills you'll gain: Investment Management, Wealth Management, Asset Management, FinTech, Financial Trading, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Big Data, Financial Market, Artificial Neural Networks, Machine Learning, Predictive Analytics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      387 reviews

      Beginner · Course · 1 - 4 Weeks

    • N

      National Taiwan University

      人工智慧:搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic)

      Skills you'll gain: Computational Logic, Logical Reasoning, Artificial Intelligence, Programming Principles, Computer Science, Computational Thinking, Algorithms, Game Theory

      4.8
      Rating, 4.8 out of 5 stars
      ·
      317 reviews

      Beginner · Course · 1 - 3 Months

    Generative AI learners also search

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

    • NLP: Twitter Sentiment Analysis: Coursera Project Network
    • Gen AI Foundational Models for NLP & Language Understanding: IBM
    • AI and Climate Change: DeepLearning.AI
    • Introduction to Public Relations: Microsoft
    • Machine Translation: Karlsruhe Institute of Technology
    • Designing the Future of Work: UNSW Sydney (The University of New South Wales)
    • Recommendation Systems on Google Cloud: Google Cloud
    • Computer Vision Fundamentals with Google Cloud: Google Cloud
    • Google Cloud Fundamentals: Core Infrastructure en Español: Google Cloud
    • Graphic Elements of Design: Color Theory and Image Formats: University of Colorado Boulder

    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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