Data Science & GenAI למנהלים טכנולוגיים

Data Science 

• Artificial Intelligence & Machine Learning Overview
• Supervised /Unsupervised /Semi Supervised Learning
• Model Selection Straight forward Models & Ensembled Models
• Deep Learning - Neural Networks Concepts & Engineering
• Reinforcement Learning
• The complete data science pipeline Process

Data Science Operation Management :

• Managing Data Science Initiatives Life Cycle
• Building & Managing the Data Science unit efficiently
• Successful organizational ML-OPS process

Data Science Tools & Technologies

• Industry & Market watch
• Real world use cases & Best Practices
• Large Language Models )NLP / NLU( and Omni Models)
• Generative AI - of the shelf solutions, platforms, self-development, and in between.
• Key approaches: Prompt Engineering, Retrieval-
• Augmented Generation (RAG),
• Preferences Fine-Tuning )PFT(, Supervised Fine- Tuning (SFT), etc.
• Project Milestones. Technologies & Process (ie. Tokenization, embedding, Vector DBs, etc)