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What can I do (Roles Available) ?

ML Research Scientist
AI Engineer
Computer Vision Engineer
Natural Language Processing (NLP) Engineer
Deep Learning Engineer

Where can I work?

  • DRDO, ISRO
  • Google, Amazon, Facebook
  • Freelancing on AI-based projects, consulting for businesses on implementing ML solutions.

Positives

High Impact
Growth Potential
Interdisciplinary Applications
Lucrative Salaries

Challenges

Steep Learning Curve
Complex Problem Solving
Ethical Concerns
Data Dependency

Key Skills Required

Programming
Mathematics
Algorithms
Data Handling
Software Tools

What Should I study ?

Pathway 1
After Class X: Choose Science Stream with Mathematics and Computer Science. Build a strong foundation in mathematics and basic programming.
Pathway 2
After Class XII: Undergraduate Degree: B.Tech/B.E. in Computer Science, Artificial Intelligence, or related fields. Postgraduate Degree: M.Tech in Machine Learning, AI, or a specialized field like NLP or Computer Vision.
Pathway 3
Certifications: Specialized certifications in machine learning and AI from platforms like Coursera, Udacity.

Top colleges in India and Abroad

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Abroad map

Videos

Introduction to Machine Learning by Edureka

This Machine Learning Tutorial is ideal for both beginners as well as professionals who want to master Machine Learning Algorithms.

Machine Learning for Beginners by Simplilearn

Machine Learning is one of those things that is chock full of hype and confusion terminology.

Deep Learning Basics by 3Blue1Brown

What are the neurons, why are there layers, and what is the math underlying it? Just watch the video !!

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