8 Sections
33 Lessons
5 Hours
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Discover the Career
EA2C1L1 What does an AI Engineer / ML Engineer do & why it matters today
4
1.1
EA2C1L1 What does an AI Engineer / ML Engineer do & why it matters today
1.2
EA2C1L2 Industry Overview — Applications from Chatbots to Self-Driving Cars
1.3
EA2C1L3 Myths vs. Realities — AI beyond Coding and Data Science Buzzwords
1.4
EA2C1L4 Future Relevance — AI’s Role in Every Industry (2025–2040 Outlook)
is This Career Right for You?
EA2C1L5 Personality Fit — Who Thrives as an AI / ML Engineer
3
2.1
EA2C1L5 Personality Fit — Who Thrives as an AI / ML Engineer
2.2
EA2C1L6 Interests & Aptitudes — Analytical, Logical, and Creative Thinking
2.3
EA2C1L7 Real Stories — A Day in the Life of an AI Engineer
Your School & Subject Choices
EA2C1L8 What to Choose After 10th — Math, Science, and Coding Foundations
4
3.1
EA2C1L8 What to Choose After 10th — Math, Science, and Coding Foundations
3.2
EA2C1L9 What to Choose After 12th — Streams, Entrance Focus, and Boards
3.3
EA2C1L10 Extracurriculars — Coding Clubs, Robotics, and Kaggle Challenges
3.4
EA2C1L11 Pre-University Learning — Python, Logic, and Basic Statistics
Entrance Exams & Admissions
Entrance Exam Overview — JEE, BITSAT, CUET, and Global Equivalents
3
4.1
EA2C1L12 Entrance Exam Overview — JEE, BITSAT, CUET, and Global Equivalents
4.2
EA2C1L13 Top Colleges & Universities (India + Global) — IITs, MIT, Stanford, etc.
4.3
EA2C1L14 Scholarships, Online Degrees & Alternate Routes (Coursera, edX, etc.)
Academic Journey & College Life
5
5.1
EA2C1L16 Year-by-Year Subject Overview — From Programming to Deep Learning
5.2
EA2C1L16 Year-by-Year Subject Overview — From Programming to Deep Learning
5.3
EA2C1L17 Key Specializations — Computer Vision, NLP, Robotics, Data Science
5.4
EA2C1L18 Projects, Labs, and Research — How to Build a Strong Portfolio
5.5
EA2C1L19 Assessment, Hackathons & AI Competitions (Google AI, Kaggle, etc.)
Real-World Experience & Skill Development
4
6.1
EA2C1L20 Internships — Finding AI Roles at Startups, MNCs & Research Labs
6.2
EA2C1L21 Tools & Platforms — Python, TensorFlow, PyTorch, OpenCV, Hugging Face
6.3
EA2C1L22 Core Skills — Data Preprocessing, Model Training, and Deployment
6.4
EA2C1L23 Communication, Collaboration & Technical Documentation
Career Growth, Roles & Income
6
7.1
EA2C1L24 Entry-Level Roles — Data Analyst, ML Intern, AI Research Assistant
7.2
EA2C1L25 Mid-Level Growth — AI Developer, ML Engineer, Data Scientist
7.3
EA2C1L26 Entrepreneurship & Startups — Building AI Products & SaaS Solutions
7.4
EA2C1L27 Senior-Level Paths — AI Architect, Research Scientist, CTO
7.5
EA2C1L28 Salary Insights — India vs. Global (USD, INR, and Remote Work Trends)
7.6
EA2C1L29 Career Map — Growth in 5, 10, and 20 Years
Future Trends & Your Personal Roadmap
4
8.1
EA2C1L30 The Future of AI — Generative AI, AGI, and Responsible AI
8.2
EA2C1L31 Emerging Specializations — Edge AI, AI Ethics, MLOps, Quantum ML
8.3
EA2C1L32 Building a 5-Year Action Plan — Learning + Projects + Certifications
8.4
EA2C1L33 Related & Pivot Careers — Data Engineer, AI Product Manager, Researcher
AI Engineer / Machine Learning Engineer
Curriculum
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