Managing AI Systems: Development, Deployment, and Governance
This three-course specialization moves beyond high-level theory to the gritty reality of managing modern AI stacks. It equips AI Product Managers, Technical...
By Board Infinity on Coursera
About This Course
This three-course specialization moves beyond high-level theory to the gritty reality of managing modern AI stacks. It equips AI Product Managers, Technical Program Managers, Innovation Leads, and Governance Officers to handle the shift from deterministic software to probabilistic AI systems — navigating the trade-offs between model performance, inference costs, and safety to ensure AI initiatives survive the transition from Proof of Concept to production. You will begin by architecting AI solutions using orchestration frameworks, vector databases, and RAG pipelines, building a functional chatbot MVP with LangChain, ChromaDB, and Streamlit. The second course shifts to production operations — mastering LLMOps workflows, prompt versioning, evaluation strategies including LLM-as-a-Judge metrics, and observability using tracing and drift monitoring tools. The final course prepares you to enforce safety and compliance through Red Teaming, guardrails implementation, explainability techniques, and regulatory navigation. By the end, you will be able to architect, operationalize, and govern AI systems with the rigor required for enterprise-scale deployment.
Topics Covered
Frequently Asked Questions
How much does Managing AI Systems: Development, Deployment, and Governance cost?
Managing AI Systems: Development, Deployment, and Governance costs $49. Check the course page for current pricing and available discounts.
Who teaches Managing AI Systems: Development, Deployment, and Governance?
Managing AI Systems: Development, Deployment, and Governance is taught by Board Infinity, Board Infinity.
What skill level is Managing AI Systems: Development, Deployment, and Governance for?
This course is designed for advanced learners.
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