8 Sections
31 Lessons
10 Weeks
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Discover the Career (Introduction)
EA2C6L1 What does a Deep Learning Researcher do & why it matters today
4
1.1
EA2C6L2 Evolution of Deep Learning — from Perceptrons to Transformers
1.2
EA2C6L3 Industry Overview — Academia, Labs, Startups, and Big Tech Research Divisions
1.3
EA2C6L4 Myths vs. Realities — What Deep Learning Research Really Involves
1.4
EA2C6L5 Future Relevance — Deep Learning in 2030 and Beyond
Is This Career Right for You?
EA2C6L6 Personality Fit — Analytical, Curious, and Experimental Mindsets
3
2.1
EA2C6L7 Key Traits of Successful Researchers — Perseverance, Creativity, and Critical Thinking
2.2
EA2C6L8 Aptitudes — Mathematics, Programming, and Research Balance
2.3
EA2C6L9 Common Challenges — Rejection, Reproducibility, and Long Research Cycles
Your School & Subject Choices
EA2C6L10 What to Choose After 10th — Science Stream, Math & Computer Foundations
3
3.1
EA2C6L11 What to Choose After 12th — Focus on Coding, Physics, and Statistics
3.2
EA2C6L12 Extracurriculars — Kaggle, Coding Clubs, AI Fairs, and Hackathons
3.3
EA2C6L13 Profile-Building Projects — Mini Neural Network Implementations & Competitions
Entrance Exams & Admissions
EA2C6L14 Entrance Overview — JEE, GATE, GRE, and AI-Specific Competitions
3
4.1
EA2C6L15 Top Indian Institutes — IITs, IISc, IIITs, ISI, and Research Labs
4.2
EA2C6L16 Global Universities — MIT, Stanford, Cambridge, ETH Zurich, Toronto
4.3
EA2C6L17 Scholarships, Research Fellowships & Alternate Routes (Online & Remote Programs)
Academic Journey & College Life
EA2C6L18 Course Structure — UG, PG, PhD, and Postdoctoral Research Path
5
5.1
EA2C6L19 Core Subjects — Linear Algebra, Probability, Optimization, Deep Learning Architectures
5.2
EA2C6L20 Year-by-Year Breakdown — Building from Theory to Research Publication
5.3
EA2C6L21 Research Methodology — Designing Experiments, Datasets, and Reproducibility
5.4
EA2C6L22 Collaboration in Academia — Advisors, Labs, and Conferences
5.5
EA2C6L23 Publications — Writing and Submitting to NeurIPS, ICML, CVPR, ICLR
Real-World Experience & Skill Development
EA2C6L24 Internships & Research Assistantships — When & How to Find Them
5
6.1
EA2C6L25 Research Tools — PyTorch, TensorFlow, JAX, Hugging Face, WandB
6.2
EA2C6L26 Cloud Platforms & Experiment Tracking — Google Colab, AWS, Paperspace
6.3
EA2C6L27 Data Skills — Building and Cleaning Large-Scale Datasets
6.4
EA2C6L28 Research Communication — Writing Abstracts, Posters, and Defending Papers
6.5
EA2C6L29 Networking in AI Research — Conferences, GitHub, and Twitter (X) Communities
Career Growth, Roles & Income
EA2C6L30 Entry-Level Roles — Research Intern, Junior Researcher, ML Engineer
4
7.1
EA2C6L31 Mid-Level Roles — Research Scientist, Applied Research Engineer
7.2
EA2C6L32 Advanced Roles — Principal Researcher, Research Director, or Professor
7.3
EA2C6L33 Salary Insights — Academic vs. Industry Research Salaries (India & Global)
7.4
EA2C6L34 Research Career Map — From Student to Leading Scientist
Future Trends & Your Personal Roadmap
EA2C6L35 The Future of Deep Learning — Foundation Models, AGI, and Multimodal AI
4
8.1
EA2C6L36 Emerging Research Areas — Explainability, Ethics, Neurosymbolic AI, and Quantum ML
8.2
EA2C6L37 Building a 5-Year Research Roadmap — Skills, Publications, and Networking
8.3
EA2C6L38 Research to Product — Bridging Academic Work and Real-World Deployment
8.4
EA2C6L39 Related Careers & Pivot Paths — AI Engineer, Data Scientist, or Research PM
Deep Learning Researcher
Curriculum
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