What it takes to be an AI engineer in 2024?
Hosted by Ritesh Vajariya
In this video
What you'll learn
What are the career prospects and opportunities for AI engg?
What skills do I need to become an AI engineer?
Why Generative AI and Prompt Engineering
Retrieval Augmented Generation (RAG), Fine-tuning, or both?
Live audience Q&A
Why this topic matters
You'll learn from
Ritesh Vajariya
Head of AI at Cerebras Systems; SageMaker and Bedrock GTM at AWS; Data and ML Leader at Bloomberg.
In last two years, I have been involved with at least dozen LLM build (notably, BloombergGPT, Falcon), over 50 applications which went to production using model customization techniques such as RAG or fine-tuning, and numerous applications which adopted prompt engineering - for their Generative AI workflow.
Builder at heart, I am Global Head of Generative AI for Cerebras Systems. Prior to that I led Generative AI for Amazon SageMaker, was a founding member of Amazon Bedrock GTM at Amazon Web Services (AWS), guiding heads of state, technology and business leaders, founders, and investors globally on AI adoption.
Prior to that, I spearheaded the creation of Bloomberg's massive data and machine learning platform. This enabled hundreds of engineers and scientists to build scalable, AI-powered applications.
I have spoken about AI around the world, advises on AI usage, and created playbooks to educate businesses on how to successfully build and scale with AI.
I founded AIGuru.Academy, a platform that offers free to nominal cost AI education to individuals regardless of their socio-economic background.
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