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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
      A

      Arizona State University

      Introduction to Machine Learning with Python

      Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative AI, Deep Learning, Image Analysis, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Artificial Neural Networks, Computer Vision, Computer Programming, Regression Analysis

      3.7
      Rating, 3.7 out of 5 stars
      ·
      20 reviews

      Beginner · Course · 1 - 4 Weeks

    • E

      Edureka

      Gen AI for Data Privacy & Protection

      Skills you'll gain: Generative AI, Data Ethics, Personally Identifiable Information, Information Privacy, General Data Protection Regulation (GDPR), Data Security, Data Governance, Technology Solutions, Cybersecurity, Artificial Intelligence

      4.8
      Rating, 4.8 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 4 Weeks

    • E

      Edureka

      Gen AI for Code Generation for Python

      Skills you'll gain: Prompt Engineering, Generative AI, Scenario Testing, Code Review, Python Programming, Test Case, ChatGPT, Application Development, Automation, Debugging

      4.3
      Rating, 4.3 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      Introduction to Retrieval Augmented Generation (RAG)

      Skills you'll gain: Prompt Engineering, Large Language Modeling, ChatGPT, OpenAI, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Application Development, Data Store, Data Storage Technologies

      4.3
      Rating, 4.3 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      ChatGPT + Cybersecurity: AI-Powered Tabletops & Training

      Skills you'll gain: Crisis Management, Incident Response, ChatGPT, Generative AI, Cross-Functional Collaboration, Prompt Engineering, Threat Modeling, Cyber Security Strategy, Cybersecurity, Scenario Testing, Complex Problem Solving

      4.8
      Rating, 4.8 out of 5 stars
      ·
      13 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Workflow: Machine Learning, Visual Recognition and NLP

      Skills you'll gain: Tensorflow, Supervised Learning, Artificial Neural Networks, Regression Analysis, Classification And Regression Tree (CART), Applied Machine Learning, Machine Learning Algorithms, Deep Learning, IBM Cloud, Image Analysis, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Decision Tree Learning, Natural Language Processing, Feature Engineering, Scikit Learn (Machine Learning Library), Business Metrics, Computer Vision

      4.4
      Rating, 4.4 out of 5 stars
      ·
      86 reviews

      Advanced · Course · 1 - 4 Weeks

    • F

      Fred Hutchinson Cancer Center

      Determining AI Needs

      Skills you'll gain: AI Personalization, Artificial Intelligence, Goal Setting, Project Scoping, Artificial Intelligence and Machine Learning (AI/ML), Decision Making, Usability, Feasibility Studies, Usability Testing, Needs Assessment, Technology Solutions, Project Planning, Strategic Decision-Making, Data Quality, Resource Management, Data Security

      4.1
      Rating, 4.1 out of 5 stars
      ·
      29 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      University of Michigan

      ChatGPT Teach-Out

      Skills you'll gain: ChatGPT, Large Language Modeling, Natural Language Processing, Data Ethics, Generative AI, Artificial Intelligence, Law, Regulation, and Compliance, Machine Learning, Economics, Social Sciences, Information Privacy

      4.5
      Rating, 4.5 out of 5 stars
      ·
      65 reviews

      Mixed · Course · 1 - 4 Weeks

    • 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

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Put It All Together: Prepare for a Cloud Security Analyst Job

      Skills you'll gain: Generative AI, Google Cloud Platform, Cybersecurity, Cloud Security, Artificial Intelligence, Technical Communication

      4.8
      Rating, 4.8 out of 5 stars
      ·
      48 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Operationalizing LLMs on Azure

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Microsoft Azure, OpenAI, Risk Management Framework, MLOps (Machine Learning Operations), Software Architecture, Generative AI, Application Deployment, Artificial Intelligence, GitHub, Application Programming Interface (API), Scalability

      4.3
      Rating, 4.3 out of 5 stars
      ·
      35 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      Build RAG Applications: Get Started

      Skills you'll gain: Generative AI, Artificial Intelligence, Prompt Engineering, Large Language Modeling, Application Development, Application Frameworks, User Interface (UI), Natural Language Processing, Jupyter

      4.8
      Rating, 4.8 out of 5 stars
      ·
      12 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Introduction to Machine Learning with Python: Arizona State University
    • Gen AI for Data Privacy & Protection: Edureka
    • Gen AI for Code Generation for Python: Edureka
    • Introduction to Retrieval Augmented Generation (RAG): Coursera Instructor Network
    • ChatGPT + Cybersecurity: AI-Powered Tabletops & Training: Vanderbilt University
    • AI Workflow: Machine Learning, Visual Recognition and NLP: IBM
    • Determining AI Needs: Fred Hutchinson Cancer Center
    • ChatGPT Teach-Out: University of Michigan
    • Gemini in Google Meet: Google Cloud
    • Put It All Together: Prepare for a Cloud Security Analyst Job: Google Cloud

    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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