Ai engineer tech stack

8 May 2026 · 23 min
22:35

In this Hindi‑language presentation, the speaker outlines the complete skill set and workflow an AI/ML engineer should master to build, fine‑tune, and deploy modern generative models. The talk begins by recommending a single programming language (typically Python) and then walks through data engineering (pandas for cleaning, analysis, and visualization), core statistics and machine‑learning concepts, deep‑learning foundations, and the rise of large language models (LLMs) and foundation models. It explains how to use pre‑trained LLMs, fine‑tune them for specific business needs, evaluate model performance, and construct end‑to‑end pipelines. The speaker stresses system‑design principles for building applications, integrating APIs (including OpenAI), deploying models to the cloud, and implementing MLOps practices such as monitoring and optimization. Finally, the video touches on creating autonomous agents and automation workflows. Throughout, the presenter encourages viewers to consult documentation, follow the video description for resources, and adopt a hands‑on, iterative learning approach.

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