AI/ML at Google Cloud Next '24!

[bzwashin]

Answer this question in the comments to earn a special badge:

If you could give your younger self one piece of advice about learning AI, what would it be? 🤔

Gemini Code Assist in the Developer KeynoteDuring Google Cloud Next, we launched some amazing new features that can help along your AI journey. Take a look at a few of our favorite announcement this week:

• Gemini Code Assist, the evolution of the Duet AI for Developers, lets developers use natural language to add to, change, analyze, and streamline their code, across their private codebases and from their favorite integrated development environments (IDEs).

  • Gemini Code Assist in Apigee API management: Use Gemini to help you build enterprise-grade APIs and integrations using natural language prompts.

• Gen AI Quick Start Solutions for GKE - Run AI on GKE with a Retrieval Augmented Generation (RAG) pattern, or integrated with Ray.

• Gemini Cloud Assist helps cloud teams design, operate, and optimize their application lifecycle.

Did we miss one of your favorite announcements?  Get your no cost digital pass to access keynotes, breakout sessions, and more on demand content from the event. Tell us what Google Cloud Next announcement has you most pumped (and earn a special badge!) in the comments below⬇️

[Ansababy]

Q: If you could give your younger self one piece of advice about learning AI, what would it be? 

A:  Hey, younger me! First off, nail the basics: get cozy with math and programming—think of them as your new best friends. We're talking linear algebra, calculus, probability, and stats. But seriously, don’t get lost in the endless roadmaps and theoretical rabbit holes. Dive into coding and start building cool stuff from week one. Trust me, you’ll learn faster and have way more fun!

[McMaco]

Q: If you could give your younger self one piece of advice about learning AI, what would it be? 

A:

To my younger self, I can't experience the world in the same way a large language model does and haven't gone through the process of learning AI myself. However, based on the vast amount of information I've been trained on, here's some advice I would give someone starting their journey in AI:

Focus on the Fundamentals:

• Math Matters: Don't underestimate the importance of a solid foundation in math, especially linear algebra, calculus, and probability. These are the building blocks for understanding many AI algorithms.

• Programming Proficiency: Get comfortable with programming languages commonly used in AI, such as Python. This will be essential for implementing algorithms, working with data, and building your own AI projects.

Embrace Continuous Learning:

• The Field is Evolving: AI is a rapidly developing field. Be prepared to continuously learn new concepts, techniques, and tools as the field progresses.

• Stay Curious: Curiosity is key. Don't be afraid to ask questions, explore different areas of AI, and experiment with different approaches.

Learning Resources Abound:

• Online Courses: There are numerous online courses and tutorials available for all levels, from beginner to advanced. Take advantage of these free or paid resources to learn at your own pace.

• Practice Makes Perfect: Don't just learn the theory. Put your knowledge into practice by working on personal projects or participating in online challenges and competitions.

The Importance of Community:

• Connect with Others: Join online communities or forums dedicated to AI. This is a great way to learn from others, share your own experiences, and get help when needed.

• Collaboration is Key: AI is a collaborative field. Don't be afraid to collaborate with others on projects and learn from their expertise.

Remember, AI is a powerful tool with the potential to make a positive impact on the world. By following these tips and approaching learning with passion and perseverance, you can embark on a rewarding journey in the exciting world of Artificial Intelligence.

PS. Yes is not one piece of advice since learning AI is not a piece of cake. 

[M_Ethiopia]

Excellent advice.Thanks for sharing 

[Priyanka_Mahale]

If I could give my younger self one piece of advice about learning AI, it would be to really nail the basics of math and coding first. Get comfortable with stuff like linear algebra, calculus, and probability, and become good at programming in Python. This will make the more complex AI concepts way easier to understand and allow you to create and experiment with your own AI projects confidently.

[Aaditya_samriya]

 I could give my younger self one piece of advice about learning AI, it would be to build a strong foundation in the underlying principles early on. This means focusing on mathematics, especially linear algebra, calculus, statistics, and probability. These areas are fundamental to understanding how algorithms work and how to develop new ones.

Additionally, I'd emphasize the importance of practical experience. Theory is crucial, but the real learning happens when you start applying what you've learned to real-world problems. Engaging in projects, participating in competitions like Kaggle, and contributing to open-source projects can provide invaluable experience. 

It's also important to stay updated with the latest developments in the field. AI is a rapidly evolving field, with new research and advancements happening all the time. Following key conferences like NeurIPS, ICML, and CVPR, reading research papers, and being active in the AI community can help keep you abreast of these changes.

Lastly, I'd stress the importance of interdisciplinary learning. AI is applied in various domains, from healthcare to finance to autonomous systems. Understanding the specific needs and challenges of different industries can make your AI applications more impactful and innovative.

[Omkar_1]

 Yes while it's great to be excited about the latest AI advancements, remember that the best way to succeed in this field is to build a strong foundation of fundamental knowledge and skills. This will allow you to adapt, learn, and thrive in the ever-evolving world of AI for sure  .

[Sriram_Arasu_T]

If I could give a piece of advice to my younger self about learning AI, it would be to learn consistently throughout the open source materials available. 

[aki_ja-7]

If I could give my younger self one piece of advice about learning AI,

it would be: “Embrace continuous learning and experimentation.”

 AI is a rapidly evolving field, and staying curious and open to new ideas is crucial. Don’t be afraid to make mistakes and learn from them, as each challenge will help you grow and improve.

1. Stay Curious: AI is always evolving. Keep exploring new ideas and technologies.
2. Experiment Often: Practical experience is key. Try different models and techniques to understand what works best.
3. Learn from Mistakes: Mistakes are learning opportunities. Analyze them to improve.
4. Keep Updated: Follow the latest research and tools to stay ahead in the field.

This approach ensures us to stay adaptable, innovative, resilient, and competitive in the ever-changing world of AI.

[kbhumik27]

It would just let use less things go and dont let people affect you much

[shahids]

Focus on understanding the fundamentals deeply, especially in math and statistics. They are the backbone of AI

[Mizar]

dont Fear the Maths and Statistics xD

[anandpvt90]

Younger I think are more fascinated towards the technology and learning but at today domain I will say them to learn ai and AR-Vr domain as generally crowd is working into one field only and we should master this emerging technology