{"id": "urn:uuid:f593a0d6-6f4d-4603-a8ac-73c0563aa13e", "type": ["VerifiableCredential", "OpenBadgeCredential"], "proof": {"type": "Ed25519Signature2020", "created": "2026-06-04T16:19:39Z", "proofValue": "z5XQtpJVoueJrQ5n1Y99TPSBWYUXyAtcCnkWJx9FJj3zXNph5xcmYKAAbXKS8xR6a4wVwhLNHxpLBA1Z43bMeLne7", "proofPurpose": "assertionMethod", "verificationMethod": "did:key:z6MkfwJEckNVbaLwbCETHMYkpfb7g2Nnvqn78ASyrYJfqvow#z6MkfwJEckNVbaLwbCETHMYkpfb7g2Nnvqn78ASyrYJfqvow"}, "issuer": {"id": "did:key:z6MkfwJEckNVbaLwbCETHMYkpfb7g2Nnvqn78ASyrYJfqvow", "name": "MIT Learn", "type": ["Profile"], "image": {"id": "https://learn.mit.edu/images/mit-red.png", "type": "Image", "caption": "MIT Learn logo"}}, "@context": ["https://www.w3.org/ns/credentials/v2", "https://purl.imsglobal.org/spec/ob/v3p0/context-3.0.3.json", "https://w3id.org/security/suites/ed25519-2020/v1"], "validFrom": "2026-06-04T16:19:39Z", "credentialSubject": {"type": ["AchievementSubject"], "identifier": [{"salt": "not-used", "type": "IdentityObject", "hashed": false, "identityHash": "Josue Gabriel Mari\u00f1o Mu\u00f1oz", "identityType": "name"}], "achievement": {"id": "https://learn.mit.edu/courses/course-v1:UAI_SOURCE+UAI.7", "name": "Deep Learning and Computer Vision", "type": ["Achievement"], "criteria": {"narrative": "- Explain how perceptrons, activation functions, and hidden layers combine to create powerful neural network architectures.\r\n- Compare structured inputs (e.g., tabular datasets) with unstructured inputs (e.g., images) and describe how models process each.\r\n- Discuss strategies for controlling underfitting and overfitting, including regularization techniques such as dropout, weight decay, and early stopping.\r\n- Describe how convolutional layers extract spatial features from images and how transfer learning adapts pre-trained models to new tasks.\r\n- Summarize how the fundamental components of neural networks scale to support modern deep learning applications."}, "description": "Josue Gabriel Mari\u00f1o Mu\u00f1oz has successfully completed all modules and earned a Course Certificate in Deep Learning and Computer Vision.", "achievementType": "Course"}, "activityEndDate": "2026-06-04T16:19:39Z", "activityStartDate": "2026-05-26T16:08:32Z"}}