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    Quick Facts

    Medium Of InstructionsMode Of LearningMode Of Delivery
    English

    Courses and Certificate Fees

    Fees InformationsCertificate AvailabilityCertificate Providing Authority
    INR 1000yesIIT Madras (IITM)

    The Syllabus

    Foundations
    • The artificial neuron, neural networks, training, gradient descent to deep nets, language and vision models, narrow, and general intelligence, generative AI

    AI, strategy and business models
    • Digital business strategy, enterprise to eco systems, digital platforms, competition and smart connected products, business models in AI

    Business value of AI:
    • AI-business value mechanism, value creation, AI for business functions-Marketing, Operations, and HR; and business domains-Manufacturing, and Healthcare

    Algorithmic decision making
    •  Machines for decisions, learning algorithms-decision support to decision-making, conversational agents and anthropomorphism, social structure, demographic disparity and prejudice, the spectrum of cognitive biases, social media and the echo chamber effects, the changing role of general managers; interpretability, explainability and decision stakes, accuracy vs interpretability, solutions and limitations

    AI Risks
    • AI risk and sources, AI bias, types of bias, hallucination and jailbreaking, business-AI alignment; risk management-technological solutions: unlearning and forgetting, robustness checks, debiasing, data sharing and differential privacy

    Responsible AI and regulation
    • Fairness and its categories, fair equality of opportunities, philosophy of policy, fairness and policy, model selection for fairness, Governance, and regulation, human values vs market-oriented regulation, AI innovation-regulation trade off, emerging regulations and compliance in select geographies

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