Choosing an AI Career in 2026? Understand Every AI Role Before You Start | CampusX
In this video, we break down a complete AI roadmap for 2026 — from the fundamentals to advanced topics like Machine Learning, Deep Learning, NLP, Transformers, and Generative AI.
Instead of trying to learn every new tool, this roadmap focuses on building strong fundamentals and a clear learning path so you can progress toward becoming an AI Engineer or Data Scientist.
Roadmap: https://roadmap.sh/r/ai-roadmap-for-2026---final-draft
CampusX AI Courses: https://learnwith.campusx.in/s/store
Notes: https://learnwith.campusx.in/s/store/courses/YouTube%20Notes
Queries? - https://www.instagram.com/c…
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Chapters (13)
Introduction and goal of the AI roadmap
3:40
Why most people fail to learn AI
8:20
How the roadmap is structured (end-to-end plan)
15:10
Programming foundations required for AI
28:40
Python and essential tools for AI development
45:30
Mathematics required for AI (linear algebra, statistics, probability)
1:05:20
Machine Learning fundamentals and algorithms
1:28:30
Deep Learning concepts and neural networks
1:50:40
Natural Language Processing and transformers
2:07:30
Generative AI and Large Language Models
2:27:00
AI tools, frameworks, and development stack
2:46:30
Building real AI projects and portfolio
3:02:30
Career roadmap and how to become an AI engin
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