Postgraduate Certificate in AI for Policy Optimization
-- ViewingNowThe Postgraduate Certificate in AI for Policy Optimization is a career-advancing course that equips learners with essential skills in artificial intelligence (AI) and machine learning (ML). This course is crucial in today's data-driven world, where organizations rely on AI and ML to make informed policy decisions.
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โข Unit 1: Introduction to AI & Machine Learning โ AI fundamentals, machine learning algorithms, supervised, unsupervised, and reinforcement learning.
โข Unit 2: AI in Public Policy โ Overview of AI applications in policy-making, potential benefits, and risks.
โข Unit 3: Optimization Techniques โ Linear and non-linear optimization, gradient descent, and convex optimization.
โข Unit 4: Policy Optimization Algorithms โ Reinforcement learning, policy gradients, actor-critic methods, deep deterministic policy gradient (DDPG), and soft actor-critic (SAC) algorithms.
โข Unit 5: AI Ethics and Bias โ Responsible AI, ethical considerations, addressing AI biases, and transparency.
โข Unit 6: Simulation and Modeling in AI โ Creating AI simulation environments, modeling real-world scenarios, and testing AI policies.
โข Unit 7: Natural Language Processing (NLP) โ NLP fundamentals, text processing, and sentiment analysis.
โข Unit 8: AI for Social Good โ AI applications in public health, education, and sustainability.
โข Unit 9: AI Governance โ AI regulations, global policy frameworks, and the role of government and industries.
โข Unit 10: Capstone Project โ Students apply their knowledge to develop and present an AI-driven policy optimization project.
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