10 Ways to Rewire Your Skills at ODSC AI West
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10 Ways to Rewire Your Skills at ODSC AI West
"If our last guide showed you how to "rewire" coding skills for AI, ODSC AI West 2025 is where you put that plan into action. From hands-on training and focused conference tracks to AI+ on-demand learning, ODSC is built for practicing data scientists, ML engineers, and analysts who want to accelerate real, applied capability. Join the community October 28-30, 2025 at the Hyatt Regency in Burlingame, CA, and turn your roadmap into outcomes."
"Level up your "rewired" skills where they matter most - shipping real systems. ODSC West's Generative AI, AI Agents, and Large Language Models tracks turn your coding instincts into production AI: LLMOps/MLOps and deployment basics, agent architectures with chaining and RAG, plus prompt engineering, guardrails, fine-tuning, and observability. If you're moving from microservices to model-integrated apps, these tracks give you the patterns, tooling, and hands-on practice to build reliable, scalable workflows fast."
"To ship end-to-end, pair them with the engineering backbone. Machine Learning and AI Engineering cover feature engineering, real-time/streaming ML, workflow orchestration, CI/CD, and cost/perf optimization - so your prototypes become products. Go deeper in Deep Learning & Multi-Modal for efficiency and cross-modal retrieval, while Data Engineering and Data Visualization help you turn SQL/ETL savvy into clean RAG stores and stakeholder-ready dashboards."
ODSC AI West 2025 offers hands-on training, focused conference tracks, and AI+ on-demand learning for practicing data scientists, ML engineers, and analysts seeking applied AI capability. Core tracks include Generative AI, AI Agents, and Large Language Models, covering LLMOps/MLOps, deployment basics, agent architectures with chaining and RAG, prompt engineering, guardrails, fine-tuning, and observability. Machine Learning and AI Engineering address feature engineering, real-time/streaming ML, workflow orchestration, CI/CD, and cost/performance optimization. Deep Learning & Multi-Modal, Data Engineering, and Data Visualization support cross-modal retrieval, RAG store construction, and stakeholder-ready dashboards. Operational and trust tracks cover lifecycle, monitoring, testing, safety, and explainability.
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