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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

    • T

      The State University of New York

      Strategic Self-Marketing and Personal Branding

      Skills you'll gain: Marketing Communications, Advertising, Promotional Strategies, Branding, Presentations, Strategic Marketing, Marketing Strategies, LinkedIn, Self-Awareness, Professional Development, Professional Networking, Lifelong Learning, Public Relations, Constructive Feedback

      4.4
      Rating, 4.4 out of 5 stars
      ·
      232 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Machine Learning with TensorFlow Google Cloud 日本語版

      Skills you'll gain: Feature Engineering, Tensorflow, Google Cloud Platform, Data Quality, Keras (Neural Network Library), Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Supervised Learning, Data Processing, Machine Learning Algorithms, MLOps (Machine Learning Operations), Jupyter, Data Pipelines, Big Data, Deep Learning, Artificial Neural Networks, Dataflow, Artificial Intelligence and Machine Learning (AI/ML), Data Transformation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      152 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Deep Learning for Healthcare

      Skills you'll gain: Deep Learning, Health Informatics, Generative AI, Image Analysis, Machine Learning, Keras (Neural Network Library), Applied Machine Learning, Health Care, Artificial Neural Networks, Supervised Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, PyTorch (Machine Learning Library), Graph Theory, Computer Vision, Network Analysis, Machine Learning Software, Unsupervised Learning, Program Development

      3.2
      Rating, 3.2 out of 5 stars
      ·
      45 reviews

      Advanced · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Azure Cybersecurity Tools and Solutions

      Skills you'll gain: Vulnerability Management, Azure Active Directory, Cloud Security, Distributed Denial-Of-Service (DDoS) Attacks, Penetration Testing, Generative AI, Vulnerability Assessments, Intrusion Detection and Prevention, Security Testing, Single Sign-On (SSO), Microsoft Azure, Cyber Security Policies, Security Management, Network Security, Identity and Access Management, Data Management, Authentications, System Monitoring, Data Ethics, Cybersecurity

      4.7
      Rating, 4.7 out of 5 stars
      ·
      30 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      Unilever

      Supply Chain Software Tools

      Skills you'll gain: Supply Chain Systems, Supply Chain Management, Data Management, Data Lakes, Supply Chain Planning, Data Analysis Software, Real Time Data, Business Technologies, Data Storage Technologies, Inventory Management System, Forecasting, Analytics, Demand Planning, Advanced Analytics, Predictive Analytics, Data-Driven Decision-Making, Enterprise Resource Planning, AI Personalization

      4.7
      Rating, 4.7 out of 5 stars
      ·
      55 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Developing Applications with Google Cloud

      Skills you'll gain: Cloud Applications, Application Deployment, Application Development, Microservices, Google Cloud Platform, Authentications, Generative AI, Serverless Computing, Cloud Development, Cloud API, Data Storage, Platform As A Service (PaaS), Authorization (Computing), CI/CD, Software Architecture, Event-Driven Programming, Cloud Computing, Application Performance Management, Cloud Storage, Service Oriented Architecture

      4.6
      Rating, 4.6 out of 5 stars
      ·
      29 reviews

      Intermediate · Specialization · 3 - 6 Months

    • R

      Rutgers the State University of New Jersey

      New Technologies for Business Leaders

      Skills you'll gain: Digital Transformation, Customer Engagement, Business Technologies, Customer experience improvement, Augmented and Virtual Reality (AR/VR), Business Transformation, Business Marketing, Cross-Functional Collaboration, Internet Of Things, Emerging Technologies, Business Ethics, Customer Relationship Management (CRM) Software, Business Leadership, Blockchain, Artificial Intelligence

      4.4
      Rating, 4.4 out of 5 stars
      ·
      439 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Prepare for DP-100: Data Science on Microsoft Azure Exam

      Skills you'll gain: Databricks, Microsoft Azure, Data Science, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Scikit Learn (Machine Learning Library), Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Tensorflow, Regression Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      60 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Python for Data Analytics

      Skills you'll gain: Pandas (Python Package), Time Series Analysis and Forecasting, Matplotlib, Data Visualization Software, Statistical Inference, Statistical Analysis, Seaborn, Data Analysis, Exploratory Data Analysis, Descriptive Statistics, NumPy, Data Manipulation, Programming Principles, Python Programming, Regression Analysis, Forecasting

      4.3
      Rating, 4.3 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      A

      Amazon Web Services

      DevOps and AI on AWS

      Skills you'll gain: Prompt Engineering, Infrastructure as Code (IaC), Amazon CloudWatch, Application Deployment, Amazon Elastic Compute Cloud, CI/CD, AWS CloudFormation, Unit Testing, Continuous Deployment, Amazon Web Services, Continuous Integration, DevOps, Generative AI, Data Ethics, DevSecOps, Cloud Applications, System Monitoring, Code Review, Application Development, Large Language Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      12 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      Edureka

      Mastering Power BI for Data Analytics & Storytelling

      Skills you'll gain: Power BI, Snowflake Schema, Data Analysis Expressions (DAX), Data Modeling, Microsoft SQL Servers, AWS Identity and Access Management (IAM), Inventory Management System, Transact-SQL, Amazon Web Services, SQL, Data Visualization Software, Interactive Data Visualization, Dashboard, Data Storytelling, Database Design, Data Analysis, Data Presentation, Data Transformation, Analytical Skills, Business Intelligence

      4.4
      Rating, 4.4 out of 5 stars
      ·
      21 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University at Buffalo

      The Roles and Responsibilities of Nonprofit Boards of Directors within the Governance Process

      Skills you'll gain: Governance, Peer Review, Performance Measurement, Organizational Strategy, Strategic Leadership, Performance Management, Organizational Effectiveness, Resource Management, Fundraising, Leadership

      4.5
      Rating, 4.5 out of 5 stars
      ·
      71 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

    • Strategic Self-Marketing and Personal Branding: The State University of New York
    • Machine Learning with TensorFlow Google Cloud 日本語版: Google Cloud
    • Deep Learning for Healthcare: University of Illinois Urbana-Champaign
    • Microsoft Azure Cybersecurity Tools and Solutions: Microsoft
    • Supply Chain Software Tools: Unilever
    • Developing Applications with Google Cloud: Google Cloud
    • New Technologies for Business Leaders: Rutgers the State University of New Jersey
    • Prepare for DP-100: Data Science on Microsoft Azure Exam: Microsoft
    • Python for Data Analytics: DeepLearning.AI
    • DevOps and AI on AWS: Amazon Web Services

    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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