A hands-on path from understanding generative AI to building working AI agents and automations. It starts with the fundamentals of how generative models work, moves into agentic AI (systems that can reason, plan, and act), then gets practical with two leading no-/low-code tools — Dify for building agents and n8n for automation — and closes with applied prompt engineering.
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Lead Data Scientist with 10 years in predictive modeling, data mining, and Python. Passionate about deep learning and NLP.
Software developer with 7 years, rooted in competitive programming and a lifelong passion for logic, code, and robotics.
Senior AI Engineer at Sprints with 5 years in NLP and machine learning. MSc candidate at Alexandria University, AI-focused.
This specialization equips you with the practical skills needed to confidently work in the following roles:
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