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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

      Crash Course on Python

      Skills you'll gain: Programming Principles, Python Programming, Computer Programming, Computational Thinking, Algorithms, Problem Management, Data Structures, Integrated Development Environments, Debugging, Development Environment

      4.8
      Rating, 4.8 out of 5 stars
      ·
      39K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Generative AI for Legal Services Primer

      Skills you'll gain: Prompt Engineering, Law Practice Management Software, Generative AI, Legal Writing, Legal Research, Data Ethics, Legal Support, ChatGPT, Artificial Intelligence, Emerging Technologies, Information Privacy

      4.7
      Rating, 4.7 out of 5 stars
      ·
      47 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI Advance Fine-Tuning for LLMs

      Skills you'll gain: Prompt Engineering, Generative AI, Large Language Modeling, Performance Tuning, Reinforcement Learning, Natural Language Processing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      72 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Neural Networks and Deep Learning

      Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Artificial Intelligence, Computer Vision, Machine Learning, Python Programming, Performance Tuning

      4.9
      Rating, 4.9 out of 5 stars
      ·
      123K reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      AI Python for Beginners

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Artificial Intelligence, Jupyter, Python Programming, Data Analysis, ChatGPT, Application Development, Generative AI, Scripting, Automation, Computer Programming, Application Programming Interface (API)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      111 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      A

      Amazon

      Generative AI in Software Development

      Skills you'll gain: Digital Transformation, Generative AI, Decision Support Systems, ChatGPT, Strategic Decision-Making, Software Development Tools, Microsoft Copilot, OpenAI, Business Transformation, Prompt Engineering, Automation, Application Development, Artificial Intelligence, User Interface (UI) Design, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      F

      Fractal Analytics

      Generative AI in User Research and Design Thinking

      Skills you'll gain: User Research, Design Thinking, Human Centered Design, User Experience Design, Generative AI, Data Synthesis, User Centered Design, Artificial Intelligence, Persona (User Experience), User Flows, Customer Insights, Data-Driven Decision-Making, Data Collection, Business Ethics, Strategic Decision-Making

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      AI Fundamentals for Non-Data Scientists

      Skills you'll gain: Generative AI, Big Data, Machine Learning, Customer Data Management, Tensorflow, Artificial Intelligence, Deep Learning, Algorithms, Process Optimization, Data Analysis, Artificial Neural Networks, Natural Language Processing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      735 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      Scrimba

      AI Engineering

      Skills you'll gain: Prompt Engineering, Image Analysis, OpenAI, Cloud Applications, Generative AI, Application Deployment, API Gateway, Cloud Hosting, Generative AI Agents, ChatGPT, Cloud Security, User Interface (UI), Data Ethics, Application Programming Interface (API), Development Environment, Open Source Technology, Performance Testing, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, JavaScript Frameworks

      4.7
      Rating, 4.7 out of 5 stars
      ·
      169 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Project: Generative AI Applications with RAG and LangChain

      Skills you'll gain: Generative AI, Prompt Engineering, Large Language Modeling, Document Management, Natural Language Processing, Unstructured Data, Data Processing, User Interface (UI), Databases, Data Storage Technologies, Data Storage

      4.8
      Rating, 4.8 out of 5 stars
      ·
      65 reviews

      Intermediate · Course · 1 - 4 Weeks

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

      IBM

      IBM RAG and Agentic AI

      Skills you'll gain: Prompt Engineering, Generative AI, Generative AI Agents, Agentic systems, Large Language Modeling, Database Management, Artificial Intelligence and Machine Learning (AI/ML), Databases, OpenAI, Tensorflow, Artificial Intelligence, PyTorch (Machine Learning Library), Information Management, Image Analysis, Natural Language Processing, Application Development, Data Management, Full-Stack Web Development, Flask (Web Framework), AI Personalization

      4.8
      Rating, 4.8 out of 5 stars
      ·
      12 reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      AI for Good

      Skills you'll gain: Disaster Recovery, Jupyter, Data Analysis, Exploratory Data Analysis, Data Ethics, Image Analysis, Emergency Response, Artificial Intelligence, Machine Learning, Predictive Modeling, Applied Machine Learning, Mitigation, Text Mining, Environmental Monitoring, Natural Language Processing, Unstructured Data, Information Privacy, Deep Learning, Data Processing, Forecasting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      465 reviews

      Beginner · Specialization · 1 - 3 Months

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

    • Crash Course on Python: Google
    • Generative AI for Legal Services Primer: Vanderbilt University
    • Generative AI Advance Fine-Tuning for LLMs : IBM
    • Neural Networks and Deep Learning: DeepLearning.AI
    • AI Python for Beginners: DeepLearning.AI
    • Generative AI in Software Development: Amazon
    • Generative AI in User Research and Design Thinking: Fractal Analytics
    • AI Fundamentals for Non-Data Scientists: University of Pennsylvania
    • AI Engineering: Scrimba
    • Project: Generative AI Applications with RAG and LangChain: IBM

    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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