Most Demanding Programming Skill Which Everyone Should LEARN | Web3 or AI or Full Stack?


Summary

This video introduces the topics of Web3, AI, and Full Stack Development, discussing the challenges faced in learning these technologies and emphasizing the importance of consistency in overcoming them. It compares the market demand for each technology and provides advice on which to learn first, suggesting Full Stack Development as a solid foundation. Detailed learning paths are outlined for Full Stack and Web3 development, along with a personal journey of learning AI through Python, machine learning concepts, and Andrew Ng’s course.


Introduction to Web3, AI, Full Stack Development

Introduction to the topics of Web3, AI, and Full Stack Development. Discussion on choosing a learning path among these technologies and the importance of consistency in learning new technologies.

Challenges in Learning Full Stack, AI, or Web3

Identifying the common challenges faced in learning Full Stack, AI, or Web3 technologies. Emphasizes the importance of overcoming these challenges with consistency and support.

Choosing Between Web3, AI, and Full Stack

Comparison of Web3, AI, and Full Stack technologies. Discussion on the market demand, advice on which technology to learn first, and the benefits of starting with Full Stack as a foundation.

Learning Full Stack Development

Detailed learning path for Full Stack Development, including overcoming hurdles in learning JavaScript, backend, frontend, React, TypeScript, and advanced frameworks like trpc and GraphQL. Emphasis on consistency in learning.

Roadmap to Web3 Development

Exploration of the learning path for Web3 Development, including understanding basic terms, private keys, decentralized exchanges, solidity, EVM development, smart contracts, cross-chain development, and asset movement. Introduction to the upcoming Web3 Bootcamp videos.

Journey of Learning AI

Personal journey of learning AI as a hobby, guided by a mentor. Steps involved in learning AI, including Python, machine learning concepts, Andrew Ng's course, and building a strong foundation in AI technologies.

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