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

Harkirat Singh2 minutes read

The video emphasizes learning web3, AI, and full stack development through consistent studying over three to four months, addressing challenges and recommending AI due to market demand. Personalized mentoring and mastering JavaScript for full stack development are highlighted, along with transitioning to AI and web3 technologies gradually.

Insights

  • Consistent studying for three to four months is highlighted as a key factor in learning web3, AI, and full stack development, emphasizing the importance of dedication and persistence in acquiring new technological skills.
  • The video recommends starting with full stack development as a foundational step before branching into web3 or AI, with AI being particularly recommended due to its current high demand in the market, showcasing a strategic approach to skill acquisition based on market trends and foundational knowledge.

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Recent questions

  • How can I start learning full stack development?

    Begin with JavaScript, then transition to back-end and front-end development, eventually mastering React and TypeScript.

  • What are the essential concepts to understand in web3 development?

    Learn about private keys, decentralized exchanges, EVM development, Solidity, and transferring assets across blockchains.

  • Why is AI recommended for learning due to market demand?

    AI skills are in high demand in the current job market.

  • How can I maintain consistency in learning new technologies?

    Seek personalized mentoring to navigate learning hurdles and stay consistent.

  • What are the recommended paths after mastering full stack development?

    Explore React Native and CI/CD devops as potential paths to pursue.

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Summary

00:00

Mastering Web3, AI, and Full Stack Development

  • Learning web3, AI, and full stack development is the focus of the video, emphasizing the ease of learning any technology with consistent studying for three to four months.
  • The video aims to address the challenges faced in learning full stack, AI, or web3 technologies and how to overcome them with consistency.
  • The choice between web3, AI, and full stack development is discussed, with AI being recommended due to its current demand in the market.
  • Starting with full stack development is advised as it provides a strong foundation for branching into other technologies like web3 and AI.
  • Personalized mentoring is recommended to navigate through learning hurdles and maintain consistency in the learning journey.
  • Full stack development learning path involves mastering JavaScript, transitioning to back-end and front-end development, overcoming the challenge of learning React, and eventually moving to TypeScript.
  • Understanding high-level frameworks like trpc and GraphQL is highlighted as essential for more complex full stack applications.
  • React Native and CI/CD devops are suggested as potential paths to explore after mastering full stack development.
  • The web3 learning journey involves understanding basic terms like private keys and decentralized exchanges before delving into EVM development and learning Solidity for writing smart contracts.
  • Moving beyond EVM development includes learning Rust or C for writing smart contracts on different blockchains like Solana, Cosmos, or Ethereum.
  • The final step in the web3 learning path is transferring assets across blockchains, showcasing a deeper understanding of blockchain technology.

12:28

"Cross-chain asset transfer and AI learning"

  • Projects exist to move assets from Solana blockchain to Ethereum, a crucial skill for understanding Ethereum and Solana development.
  • A web3 bootcamp on YouTube will cover topics like Solidity development, advanced contracts, Solana development, and moving assets across blockchains.
  • Learning AI as a hobby involves a structured approach with a friend guiding through high-level industry insights and learning paths, starting with Python and progressing to supervised, un-supervised, and deep learning.
  • Learning new technologies like AI can be facilitated by paying experts for guidance, ensuring a strong foundation and gradual progress, with the option to join group sessions for a fee.
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