practical skills and tangible tools to accelerate your career immediately
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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