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AI Agents & Agentic AI
Design multi-step AI agents that call tools, use memory, and complete complex tasks autonomously.
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Design multi-step AI agents that call tools, use memory, and complete complex tasks autonomously.
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Build image classification, object detection, and segmentation models with deep learning.
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Build and train neural networks with PyTorch — from fundamentals to custom architectures.
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Build production-ready generative AI applications — LLM integration, prompt engineering, RAG, and evaluation.
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Learn the end-to-end machine learning lifecycle — data preparation, model development, deployment, and monitoring.
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Ship and monitor machine learning and AI models in production — CI/CD for ML, versioning, and observability.
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Learn natural language processing with transformer architectures — the foundation behind modern LLMs.
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Build and deploy AI systems responsibly — bias, fairness, transparency, and current governance frameworks.