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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 Trial
      Free Trial
      G

      Google Cloud

      Gemini in Google Meet

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

      4
      Rating, 4 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Midjourney for Beginners: Craft an Exquisite Piece of AI Art

      Skills you'll gain: Generative AI, Prompt Engineering, Content Creation, Digital Design, Graphics Software, Creativity

      4
      Rating, 4 out of 5 stars
      ·
      22 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      U

      University of Glasgow

      Introduction to the Pharmaceutical Industry

      Skills you'll gain: Pharmaceuticals, Pharmacology, Healthcare Ethics, Clinical Trials, Clinical Research, Regulatory Affairs, Healthcare Industry Knowledge, Regulatory Compliance, Medical Science and Research, Emerging Technologies, Precision Medicine, Biology, AI Personalization

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Instructor Network

      Applying Python for Data Analysis

      Skills you'll gain: Pandas (Python Package), Data Analysis, Data-Driven Decision-Making, Data Manipulation, Business Analytics, Statistics, Data Visualization Software, Descriptive Statistics, Data Cleansing, Time Series Analysis and Forecasting, Correlation Analysis, Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Michigan

      AI for Energy and Biomedical Applications

      Skills you'll gain: Precision Medicine, Energy and Utilities, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Medical Imaging, Artificial Intelligence, Electric Power Systems, Bioinformatics, Deep Learning, Applied Machine Learning, Predictive Modeling, Health Informatics, Anomaly Detection, Machine Learning Algorithms, Predictive Analytics, Pharmacology

      4.1
      Rating, 4.1 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Applications of Copilot in the Workplace

      Skills you'll gain: Microsoft Copilot, Customer Relationship Management (CRM) Software, Marketing Automation, Customer experience improvement, Generative AI, Business Process Automation, Self Service Technologies, Sales Process, Sales Strategy, Customer Service, Marketing Analytics, Return On Investment, Automation, Lead Generation, Natural Language Processing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      17 reviews

      Beginner · Course · 1 - 4 Weeks

    • M

      Microsoft

      Developing with GitHub Copilot and VS Code

      Skills you'll gain: Microsoft Copilot, Integrated Development Environments, Microsoft Visual Studio, Software Development Tools, Application Development, Artificial Intelligence, Web Development Tools, GitHub, Debugging, HTML and CSS

      4.1
      Rating, 4.1 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      M

      Maven Analytics

      Microsoft Copilot for Excel: AI-Powered Data Analysis

      Skills you'll gain: Microsoft Copilot, Microsoft Excel, Pivot Tables And Charts, Excel Formulas, People Analytics, Spreadsheet Software, Data Manipulation, Data Analysis, Human Resources Information System (HRIS), Data Presentation, ChatGPT, Artificial Intelligence, Generative AI

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Building Autonomous AI Agents with LangGraph

      Skills you'll gain: Generative AI Agents, Agentic systems, OpenAI, Artificial Intelligence, ChatGPT, Generative AI, Query Languages, User Interface (UI), Prompt Engineering, Large Language Modeling, Software Architecture, UI Components, Natural Language Processing, Python Programming, Human Machine Interfaces, Application Frameworks, Automation, Development Environment

      Intermediate · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Cervical Cancer Risk Prediction Using Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Data Analysis, Statistical Analysis, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Predictive Modeling, Matplotlib, Data Import/Export, Pandas (Python Package), Applied Machine Learning, Data Visualization Software, NumPy, Data Manipulation, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      38 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      N

      Northeastern University

      Business Application of Machine Learning and Artificial Intelligence in Healthcare

      Skills you'll gain: Health Informatics, Decision Support Systems, Business Intelligence, Business Analytics, Business Process Automation, Predictive Analytics, Data-Driven Decision-Making, Customer experience strategy (CX), Advanced Analytics, Artificial Intelligence and Machine Learning (AI/ML), Process Analysis, Predictive Modeling, Applied Machine Learning, Healthcare Industry Knowledge, Emerging Technologies

      4.4
      Rating, 4.4 out of 5 stars
      ·
      82 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Intro to TensorFlow en Español

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, Deep Learning, Machine Learning Methods, Application Deployment, Data Processing, Supervised Learning, Pandas (Python Package), Application Programming Interface (API)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      137 reviews

      Intermediate · 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

    • Gemini in Google Meet: Google Cloud
    • Midjourney for Beginners: Craft an Exquisite Piece of AI Art: Coursera Project Network
    • Introduction to the Pharmaceutical Industry: University of Glasgow
    • Applying Python for Data Analysis: Coursera Instructor Network
    • AI for Energy and Biomedical Applications: University of Michigan
    • Applications of Copilot in the Workplace: Microsoft
    • Developing with GitHub Copilot and VS Code: Microsoft
    • Microsoft Copilot for Excel: AI-Powered Data Analysis: Maven Analytics
    • Building Autonomous AI Agents with LangGraph: Packt
    • Cervical Cancer Risk Prediction Using Machine Learning: Coursera Project Network

    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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