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  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM AI Product Manager

    Skills you'll gain: Prompt Engineering, Prompt Patterns, AI Product Strategy, Generative AI, New Product Development, Product Management, Product Lifecycle Management, Generative Model Architectures, Product Development, Innovation, ChatGPT, Product Roadmaps, Product Planning, Responsible AI, Commercialization, Generative Adversarial Networks (GANs), Artificial Intelligence, Product Strategy, Project Management Life Cycle, Product Design

    4.7
    Rating, 4.7 out of 5 stars
    ·
    35K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI for Data Scientists

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative Model Architectures, Exploratory Data Analysis, Generative Adversarial Networks (GANs), Data Ethics, Feature Engineering, AI literacy, Predictive Modeling, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Data Synthesis, Data Analysis, Data Visualization Software, Augmented and Virtual Reality (AR/VR), Autoencoders, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12K reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

    Skills you'll gain: Transfer Learning, Model Evaluation, PyTorch (Machine Learning Library), Fine-tuning, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Logistic Regression, Convolutional Neural Networks, Reinforcement Learning, Model Optimization, Autoencoders, Generative AI, Model Training, Unsupervised Learning, Tensorflow, Applied Machine Learning, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    4.2K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Machine Learning

    Skills you'll gain: Unsupervised Learning, Exploratory Data Analysis, Autoencoders, Feature Engineering, Dimensionality Reduction, Supervised Learning, Generative AI, Classification Algorithms, Regression Analysis, Time Series Analysis and Forecasting, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Data Science, Machine Learning, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.6K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning with Keras and Tensorflow

    Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Reinforcement Learning, Deep Learning, Model Optimization, Autoencoders, Generative AI, Unsupervised Learning, Tensorflow, Generative Adversarial Networks (GANs), Generative Model Architectures, Transfer Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Time Series Analysis and Forecasting

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI Engineering with LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Retrieval-Augmented Generation, Generative AI, PyTorch (Machine Learning Library), Prompt Engineering Tools, Generative AI Agents, Fine-tuning, Vector Databases, LLM Application, Generative Model Architectures, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Tool Calling, Hugging Face, Model Optimization, Transfer Learning, Data Pipelines, Model Training

    4.5
    Rating, 4.5 out of 5 stars
    ·
    988 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Preview
    Preview
    N

    Northeastern University

    Generative AI Part 2

    Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Large Language Modeling, Autoencoders, Model Evaluation, Embeddings, Model Optimization, Natural Language Processing, Model Training, Bayesian Statistics, Statistical Methods, Sampling (Statistics), Probability Distribution

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft AI & ML Engineering

    Skills you'll gain: Unsupervised Learning, Fine-tuning, Model Deployment, Generative AI, Large Language Modeling, Data Management, Generative Model Architectures, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Infrastructure Architecture, LLM Application, Responsible AI, Data Infrastructure, Data Preprocessing, Model Optimization

    4.6
    Rating, 4.6 out of 5 stars
    ·
    359 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Elevate Your Data Science Career

    Skills you'll gain: Generative AI, Exploratory Data Analysis, Generative Model Architectures, Generative Adversarial Networks (GANs), Data Ethics, Feature Engineering, Predictive Modeling, Responsible AI, Data Science, Data Synthesis, Data Analysis, Data Visualization Software, Autoencoders

    4.6
    Rating, 4.6 out of 5 stars
    ·
    268 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    AI-powered Customer Intelligence with Microsoft Copilot

    Skills you'll gain: Microsoft Copilot, Prompt Engineering, Customer Insights, Sales Strategy, Customer Analysis, Competitive Analysis, Microsoft 365, Persona Development, Data Cleansing, Sales Management, Data Quality, Sales, Anomaly Detection, Generative Adversarial Networks (GANs), Customer Relationship Management (CRM) Software, Marketing Operations, Personalized Campaigns, Data Ethics, Generative AI, Sales Enablement

    4.4
    Rating, 4.4 out of 5 stars
    ·
    81 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Harnessing LLMs: Strategy, Fine-Tuning & Evaluation

    Skills you'll gain: Hugging Face, Prompt Engineering, Retrieval-Augmented Generation, LLM Application, Model Evaluation, Responsible AI, Fine-tuning, LangChain, Model Optimization, Large Language Modeling, Generative Model Architectures, Model Deployment, Generative AI, Generative Adversarial Networks (GANs), Application Deployment, Application Development, AI literacy, Technical Management, Business Strategy, Python Programming

    4
    Rating, 4 out of 5 stars
    ·
    74 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Illinois Urbana-Champaign

    Introduction to Artificial Intelligence

    Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Applied Machine Learning, Statistical Machine Learning, Deep Learning, Responsible AI, Machine Learning Methods, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, AI Enablement, Machine Learning Algorithms, AI literacy, Artificial Neural Networks, Convolutional Neural Networks, AI Product Strategy, Regression Analysis, Law, Regulation, and Compliance

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    66 reviews

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular gans courses

  • IBM AI Product Manager: IBM
  • Generative AI for Data Scientists: IBM
  • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
  • IBM Machine Learning: IBM
  • Deep Learning with Keras and Tensorflow: IBM
  • Generative AI Engineering with LLMs: IBM
  • Generative AI Part 2: Northeastern University
  • Microsoft AI & ML Engineering: Microsoft
  • Generative AI: Elevate Your Data Science Career: IBM
  • AI-powered Customer Intelligence with Microsoft Copilot: Microsoft

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