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Rahul Agarwal
Founder | Agentic AI... • 22d
You don’t need a $120,000 degree to learn how to build LLMs. You need consistency. And the right roadmap. After building and deploying AI systems, one pattern became obvious quickly. Most knowledge is accessible. Few follow structured paths. You can reach real proficiency faster than traditional academic timelines suggest possible today. Just one hour daily. For six focused months. Month one builds programming fluency using Python for automation and problem solving tasks. You learn foundations first. Everything builds on this. Month two introduces neural networks and practical deep learning workflows used today everywhere. You start training models. You gain real intuition. Month three focuses on natural language processing and transformer architectures powering modern systems. You understand how models reason. Not just use them. Month four shifts toward constructing large language models and understanding internal mechanics fully. You build from first principles. Confidence increases dramatically here. Month five teaches applying transformers to real applications like chatbots and question answering. Theory meets real deployment. Skills become practical now. Month six focuses on production systems, scaling pipelines, monitoring performance, and reliability engineering. You learn production reality. Not just experimentation. This progression builds capability step-by-step without overwhelming complexity or unnecessary academic overhead today. No shortcuts exist. But clarity accelerates progress. One focused hour daily compounds into real capability faster than most expect possible. Start now. Future you benefits most.
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