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Learn machine learning and AI—from Python foundations to deep learning

Guided courses, practical roadmaps, curated tech news, and studio-style video lessons—from first steps to advanced topics.

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Courses

Progressive tracks from Python and math to deep learning, NLP, and MLOps.

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Beginner

Python Basics

Core syntax, data structures, and tools you need before any ML work.

6–8 weeks

Beginner

NumPy

ndarrays, vectorization, and numerical building blocks for models and Pandas.

2–3 weeks

Beginner

Pandas

Series, DataFrames, and the table-shaped data workflows ML sits on top of.

2–3 weeks

Roadmaps

Follow a single path with a space track, progress, and the classic course order we recommend before ML frameworks.

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Roadmap
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Python Foundations for Machine Learning

Python syntax and tooling, then NumPy arrays, then Pandas tables — the stack every ML course assumes.

  • Python Basics
  • NumPy
  • Pandas
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More paths

Machine learning, deep learning, and GenAI roadmaps are marked coming soon on the main page — we ship them as the curriculum grows.

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News

Keep up with the tech world — models, policy, infra, and how teams ship.

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May 8, 2026
News

OpenAI Introduces 'Trusted Contact' Safeguard for ChatGPT Users

OpenAI has expanded its safety measures for ChatGPT by introducing a 'Trusted Contact' feature aimed at protecting users in potential self-harm situations. This initiative reflects the company's commitment to user safety.

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May 8, 2026
News

Perplexity's Personal Computer Now Available for All Mac Users

Perplexity has launched its Personal Computer for Mac users, allowing everyone to access AI agents directly on their devices. This move opens up new possibilities for personal productivity and assistance.

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Video lessons

Deep, studio-grade lessons alongside every roadmap. On YouTube, always free to watch.

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YouTube

Lecture 1 : Flowchart & Pseudocode + Installation | DSA Series by Shradha Khapra Ma'am | C++

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