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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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    Get in-depth knowledge of a subject by completing a series of courses and projects.
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    Explore the GenAI Course Catalog

    • Status: New
      New
      I

      IBM

      IBM RAG and Agentic AI

      Skills you'll gain: Prompt Engineering, Generative AI, Large Language Modeling, Generative AI Agents, Database Management, OpenAI, Database Systems, Databases, Tensorflow, Artificial Intelligence, PyTorch (Machine Learning Library), Database Architecture and Administration, Agentic systems, Image Analysis, Natural Language Processing, Application Development, NoSQL, Data Management, Full-Stack Web Development, Applied Machine Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      10 reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      I

      IBM

      Generative AI for Mobile App Developers

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Large Language Modeling, AI Personalization, Mobile Development, Data Ethics, OpenAI, Artificial Intelligence, Software Development Tools, Software Testing, Test Automation, Software Development, Machine Learning Methods, DevSecOps, Application Security, CI/CD, Cloud Applications, Natural Language Processing, Cloud Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.7K reviews

      Advanced · Specialization · 1 - 3 Months

    • D

      Duke University

      MLOps | Machine Learning Operations

      Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Data Ethics, Application Deployment, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, Software Testing, Data Import/Export, Amazon Web Services, Feature Engineering, Cloud Solutions, Artificial Intelligence and Machine Learning (AI/ML), Docker (Software), Rust (Programming Language)

      4.2
      Rating, 4.2 out of 5 stars
      ·
      458 reviews

      Advanced · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Natural Language Processing on Google Cloud

      Skills you'll gain: Natural Language Processing, Large Language Modeling, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Cloud API, Cloud Solutions, Feature Engineering, Application Programming Interface (API)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      534 reviews

      Advanced · Course · 1 - 3 Months

    • L

      L&T EduTech

      Petroleum Engineering with AI Applications

      Skills you'll gain: Energy and Utilities, Safety Assurance, Environmental Regulations, Accident Prevention, Environment and Resource Management, Big Data, Plant Operations and Management, Waste Minimization, Process Engineering, Chemical Engineering, Risk Analysis, Environmental Engineering, Failure Mode And Effects Analysis, Data Processing, Process Control, Electric Power Systems, Applied Machine Learning, Manufacturing and Production, Manufacturing Operations, Artificial Intelligence and Machine Learning (AI/ML)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      136 reviews

      Advanced · Specialization · 3 - 6 Months

    • I

      Imperial College London

      Advanced Creative Thinking and AI: Tools for Success

      Skills you'll gain: Design Thinking, Creative Thinking, Creativity, Brainstorming, Cognitive flexibility, Ideation, Innovation, Artificial Intelligence, Critical Thinking, Problem Solving

      4.7
      Rating, 4.7 out of 5 stars
      ·
      79 reviews

      Advanced · Course · 1 - 3 Months

    • I

      IBM

      IBM AI Enterprise Workflow

      Skills you'll gain: Feature Engineering, Data Visualization, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Pipelines, Design Thinking, Dashboard, Unit Testing, Artificial Neural Networks, Data Science, Artificial Intelligence

      4.3
      Rating, 4.3 out of 5 stars
      ·
      320 reviews

      Advanced · Specialization · 3 - 6 Months

    • G

      Google

      Get Started with Python

      Skills you'll gain: Object Oriented Programming (OOP), Data Analysis, Data Structures, Jupyter, Python Programming, NumPy, Pandas (Python Package), Programming Principles, Scripting, Data Manipulation, Algorithms

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.6K reviews

      Advanced · Course · 1 - 3 Months

    • G

      Google Cloud

      Advanced Machine Learning on Google Cloud

      Skills you'll gain: Natural Language Processing, MLOps (Machine Learning Operations), Tensorflow, Large Language Modeling, Reinforcement Learning, Computer Vision, Google Cloud Platform, Keras (Neural Network Library), Systems Design, Image Analysis, Hybrid Cloud Computing, Applied Machine Learning, Systems Architecture, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms, Distributed Computing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.5K reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free
      Free
      G

      Google Cloud

      Create Image Captioning Models

      Skills you'll gain: Generative AI, Image Analysis, Deep Learning, Computer Vision, Applied Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      31 reviews

      Advanced · Course · 1 - 4 Weeks

    • D

      Duke University

      DevOps, DataOps, MLOps

      Skills you'll gain: MLOps (Machine Learning Operations), Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Containerization, Rust (Programming Language), DevOps, Applied Machine Learning, Cloud Solutions, CI/CD, Python Programming, Serverless Computing, Application Frameworks, Docker (Software), Generative AI Agents, GitHub, Command-Line Interface

      4.1
      Rating, 4.1 out of 5 stars
      ·
      170 reviews

      Advanced · Course · 1 - 3 Months

    • P

      Packt

      Advanced Generative Adversarial Networks (GANs)

      Skills you'll gain: Generative AI, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Deep Learning, Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Jupyter, Matplotlib, NumPy

      Advanced · Course · 3 - 6 Months

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

    • IBM RAG and Agentic AI: IBM
    • Generative AI for Mobile App Developers: IBM
    • MLOps | Machine Learning Operations: Duke University
    • Natural Language Processing on Google Cloud: Google Cloud
    • Petroleum Engineering with AI Applications: L&T EduTech
    • Advanced Creative Thinking and AI: Tools for Success: Imperial College London
    • IBM AI Enterprise Workflow: IBM
    • Get Started with Python: Google
    • Advanced Machine Learning on Google Cloud: Google Cloud
    • Create Image Captioning Models: 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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