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Google Courses API - SerpApi

{
  ...
  "courses": [
    {
      "title": "Machine Learning",
      "description": "Offered by Stanford University and DeepLearning.AI. #BreakIntoAI with Machine Learning Specialization. Master fundamental AI concepts and ... Enroll for free.",
      "link": "https://www.coursera.org/specializations/machine-learning-introduction",
      "institution": "Stanford University",
      "platforms": [
        "Coursera"
      ],
      "rating": 4.901543294522426,
      "reviews": 32959,
      "thumbnail": "https://encrypted-tbn3.gstatic.com/images?q=tbn:ANd9GcTWwYhzJZKvNmEJZbkxeTLqsvmsLWEM-VEvT7mSbsxOH2QEynF2",
      "price": "Subscription",
      "duration": "2 months",
      "level": "Beginner",
      "content": [
        "Data Ethics",
        "Applied Machine Learning",
        "Classification And Regression Tree (CART)",
        "Machine Learning Algorithms",
        "Deep Learning",
        "NumPy",
        "Feature Engineering",
        "Unsupervised Learning",
        "Jupyter",
        "Decision Tree Learning",
        "Random Forest Algorithm",
        "Reinforcement Learning"
      ]
    },
    {
      "title": "Supervised Machine Learning: Regression and Classification",
      "description": "In the first course of the Machine Learning Specialization, you will: • Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn. • Build and train supervised machine learning models for prediction and binary classification tasks, including linear regression and logistic regression The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. In this beginner-friendly prog",
      "link": "https://www.coursera.org/learn/machine-learning",
      "institution": "DeepLearning.AI",
      "platforms": [
        "Coursera"
      ],
      "rating": 4.898876803867207,
      "reviews": 28134,
      "thumbnail": "https://encrypted-tbn3.gstatic.com/images?q=tbn:ANd9GcTtCHpYW2wuu9UOKtrAm6KXMQSKCkg3Q2C95FNFH1ghB2pQupCS",
      "price": "Partially Free",
      "duration": "33 hours",
      "level": "Beginner",
      "content": [
        "Statistical Modeling",
        "Jupyter",
        "Predictive Modeling",
        "Supervised Learning",
        "Classification And Regression Tree (CART)",
        "Unsupervised Learning",
        "Python Programming",
        "Artificial Intelligence",
        "Feature Engineering",
        "Machine Learning",
        "Scikit Learn (Machine Learning Library)",
        "NumPy",
        "Regression Analysis"
      ]
    },
    ...
  ],
  ...
}