AI Architect Interview Questions (Ace Your Next AI Architect Interview)

In this video AI Architect Interview Questions (Ace Your Next AI Architect Interview), Michael Gibbs and David Linthicum dive into generative GENAI interview questions, offering insight for aspiring GENAI professionals. So if you’ve enjoyed our previous solution architect interview questions content, then you’ll love these artificial intelligence questions and answers video to prepare you for your AI solutions architect interview and AI architect career. David Linthicum shares detailed examples of responses to various questions about projects, such as a recommendation engine and a supply chain integration system. They discuss machine learning interview questions, including data preparation, adversarial networks, ethical considerations, and model optimization. Learn how to answer questions about the nuances of deploying AI models in production and tips for staying updated with the latest advancements.

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00:00 – Intro
1:01 - Discuss a Project that you've worked on that involved AI
4:39 - How do you approach data preparation for models
7:36 - How would you train a GAN (General Adversarial Network)
11:39 - Have you dealt with node collapse
14:01 - Ethical considerations of working with AI
18:09 - Thoughts on the current state of AI and where is it going
22:31 - When have you optimized a generative ai model for efficiency
26:25 - Experience Deploying AI Models and ML Ops practices
31:23 - What generative models have you worked with
35:20 - How do you assess the quality of generative samples from a model
38:27 - Describe a challenging issue you've handled with generative models
42:50 - What ethical considerations are critical when deploying a generative model
46:53 - Can you explain the concept of Latent Space
47:58 - Have you implemented conditional generative models
49:53 - How do you train a model that's going to have limited data or noisy data
52:00 - What strategies do you use to ensure stability and convergence in training generative models
54:23 - What are the tradeoffs between GANs and VAEs
56:58 - Mitigating Bias in Generative AI models
59:24 - Experience with Text Generation using generative ai models
1:00:26 - Have you explored creative applications
1:03:46 - Managing scalability and computational efficiency
1:07:33 - Can you cite a real world application where generative models have significantly impacted an industry
1:09:48 - Attention mechanisms and the enhancement of models
1:11:15 - Ensuring robustness and generalization capabilities across diverse databases
1:12:58 - Explain style transfer in generative ai models
1:14:49 - How would you conduct hyperparameter tuning in generative ai models
1:16:15 - How do you stay updated with latest advancements and trends in generative AI
1:18:14 - Wrapping up

#cloudarchitect #cloudcareer #cloudjob

[chautmpham]

The comprehensive approach taken in this video, covering everything from the technical details of model optimization to the ethical implications of deploying AI models, makes it a must-watch for any AI architect looking to sharpen their skills and knowledge.

Kudos to the Go Cloud Careers team, Michael Gibbs and David Linthicum for consistently delivering top-notch content that empowers the community to achieve their career goals!

[michelrussell]

This is going to be wonderful content! Understating how helpful this will be in understanding the delicate world of the interview.

[driftango]

Thanks for sharing your knowledge, David! Interesting views about AI and how it can be leveraged efficiently.
I appreciate Mike and the team for always publishing view-worthy content like this for us!

[Eddie_]

Thank you David for your time! This is a great depiction of professionalism and the level of prepareness required for an interview of this nature.

[dhananjayp]

Thanks for sharing this awesome content !!!