Hello - Started with AI for everyone

Introductions
1

Hello everyone, Just started my journey on learning AI. Started with AI for everyone by Andrew NG.
Been Java Developer, Devops, Middleware, SRE , Capacity Planning and now Platform Engineer.
Looking forward to learn AI Infrastructure deployments and tunning the models.
Any advice or guidance where to go from here ?
2

Hi Rthota56, Hope you are doing good.

I’m a senior AI engineer who has 10 + years of experience in AI/ML development.

I would be happy to help you to understand the AI better and faster.

Thanks,

Luis

1 Like
3

Hi there, welcome!

It’s great to see your journey from Java development, DevOps, and SRE into AI — your background gives you a strong foundation for AI infrastructure and model deployment. Starting with AI for Everyone is an excellent way to understand the fundamentals before diving deeper.

For your next steps, here are a few suggestions:

  1. Deepen AI/ML Fundamentals: Courses like the Machine Learning Specialization or Deep Learning Specialization by Andrew Ng can help you understand the core concepts behind models.

  2. AI Infrastructure & Deployment: Since you have a DevOps and platform engineering background, exploring MLOps is a natural next step. Tools like Kubeflow, MLflow, Weights & Biases, and cloud ML services (AWS SageMaker, GCP Vertex AI, Azure ML) are very practical.

  3. Model Tuning & Optimization: Learn about hyperparameter tuning, distributed training, and GPU/TPU acceleration. This will help when you want to fine-tune models efficiently.

  4. Hands-On Projects: Try small projects like deploying a model API, building a recommendation system, or experimenting with pretrained models. Real-world applications will solidify your learning.

  5. Community & Collaboration: Engage with communities like this one to share knowledge, discuss challenges, and even collaborate on projects. Learning alongside others accelerates growth.

I’d be happy to connect and collaborate as we continue this AI/ML journey. Sharing insights, working on projects together, and discussing practical challenges can be a great way to build skills and confidence.

— Steve