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AI & Machine Learning

Rs 25000 Rs 30000

1. The Data & Logic Layer (Month 1) Python for AI: Advanced libraries like NumPy, Pandas, and Scikit-learn. Math Foundation: Linear algebra and probability (the "engine" behind neural networks). Data Engineering: SQL, Vector Databases (like Pinecone or Milvus), and API orchestration.

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Overview

. The "AI-Enabled" Professional (1–2 Months)

Best for managers, marketers, and freelancers who want to use AI tools rather than build them.

  • Prompt Engineering: Mastering advanced design patterns (Chain-of-Thought, Few-Shot).

  • AI Automation: Using no-code tools (Zapier, Make.com) to automate workflows.

  • Generative Media: Creating high-end video, audio, and images for marketing.

  • AI Ethics & Safety: Understanding bias, privacy, and responsible deployment.

dynsol

SEO For development company

leading researcher with 7+ years of experience in deep learning.

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