{"id": "urn:uuid:77a922e1-0494-4c13-867a-c55d82603ea1", "type": ["VerifiableCredential", "OpenBadgeCredential"], "proof": {"type": "Ed25519Signature2020", "created": "2026-07-21T13:02:15Z", "proofValue": "z5WndHfYVPh7JG8EFx6x9pE7b9eg5Msrn2RfM5daqHdQmx78EXeUJsoyp7WK61hXr9FyTmqhAiHugfQvuZtSQsR5U", "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": "2026-07-21T13:02:15Z", "credentialSubject": {"type": ["AchievementSubject"], "identifier": [{"salt": "not-used", "type": "IdentityObject", "hashed": false, "identityHash": "Mohammed Baba Mohammed ", "identityType": "name"}], "achievement": {"id": "https://learn.mit.edu/courses/course-v1:UAI_SOURCE+UAI.10", "name": "Model-Driven Prescriptive AI, Part 2", "type": ["Achievement"], "criteria": {"narrative": "- Describe how mixed-integer optimization combines discrete (yes/no) and continuous choices to solve large-scale planning problems, such as vaccine distribution.\r\n- Outline how multi-objective optimization balances competing goals (e.g., cost, efficiency, equity) and how solutions along the Pareto frontier support decision-making.\r\n- Indicate how nonlinear optimization uses gradients and convexity to model realistic problems and distinguish between convex and nonconvex landscapes.\r\n- Explain how stochastic gradient descent (SGD) scales optimization to large datasets, and how batch size and learning rate affect efficiency and generalization."}, "description": "Mohammed Baba Mohammed  has successfully completed all modules and earned a Course Certificate in Model-Driven Prescriptive AI, Part 2.", "achievementType": "Course"}, "activityEndDate": "2026-07-21T13:02:15Z", "activityStartDate": "2026-07-19T07:42:28Z"}}