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The future of learning is doing.
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Data Engineering and ML Engineering are the new sexy high demand job titles. MLOPs is the eye candy in almost all JDs. Why?
❓ How do you assess your position in the MLOPs upskilling ladder?
❓ Myth: Do you require to know all ML models to learn MLOPs?
❓ Key frameworks to be aware of upskill in MLOPs Effectively?
❓ What are the effective Tools and Strategies?
FOR WHOM?
OUTCOME
WHERE?
WHEN?
SPEAKER
ENROL
Data Science Lead - HSBC
Exp: HSBC, Ex - Amazon, Noon, EXL Top Skills: Decision Sciences • Machine Learning • MLOps • Natural Language Processing (NLP) • Generative AI
