Deep Atlas
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About
Deep Atlas offers an invite-only, intensive cohort-based program designed to fast-track technical AI/ML skills, transforming participants into top 1% AI builders. The program compresses months of deep study into weeks, focusing on practical, project-based coursework. The curriculum blends fundamental theory with cutting-edge techniques, covering topics such as training and inference of ML models and LLMs, problem recognition in ML, Retrieval-Augmented Generation (RAG), Prompt Engineering, building agentic systems, Transfer Learning, Fine-Tuning, end-to-end model development, and various neural network architectures. Graduates gain membership to an alumni community for collaborative project building. Deep Atlas provides both full-time (2-week in-person) and nights & weekends (4-week online) modalities, offering didactic lectures, pair programming, group discussions, and guest speakers. Founded by the team behind Hack Reactor, known for training 10,000+ software engineers, Deep Atlas aims to equip technologists to shape the rapidly changing AI landscape.
Platform
Task
Features
• project-based coursework
• proficiency in retrieval-augmented generation (rag)
• skills to recognize and compare ml problem-solving approaches
• ability to explain ml models and algorithms, including llms
• membership into alumni community for portfolio projects
• optimally sequenced curriculum for efficiency
• intensive, cohort-based learning
• invite-only program
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