The 3-course Machine Learning Specialization — supervised & unsupervised learning, neural networks, decision trees, recommender systems and reinforcement learning, with best practices for models that generalize.
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Foundations of deep learning — building and training neural networks, CNNs for computer vision, sequence models and transformers, plus the tuning and optimization that make them work.
Applying machine learning to healthcare — diagnosis, prognosis and treatment models, and working with medical imaging and clinical data responsibly.
Designing and building autonomous, tool-using AI agents — planning, orchestration, memory and guardrails for LLM-driven workflows.
Programming for everybody — Python fundamentals, data structures, accessing web data and working with databases, end to end.
Architecting on AWS — designing scalable, secure and cost-effective cloud solutions across core AWS services.
AWS cloud fundamentals — core compute, storage, networking and security building blocks of the AWS platform.
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