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Agentic Ai In Drug Safety And Pharmacovigilance Operations
Published 1/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 597.18 MB [/center] | Duration: 1h 54m
Take Your Career To Next Level : Learn via Practical Use Case Demonstration - Concept to Design, Validation & Deployment
What you'll learn
Agentic AI in Drug Safety
Application of Agentic AI in Pharmacovigilance Operations
AI Agents for life Sciences
CrewAI framework for Agentic AI
Fundamentals of Agentic AI
Requirements
Understanding of Pharmacovigilance or Drug Safety Domain
Basic understanding of AI Terminologies
Description
The pharmaceutical industry is entering a new era-one where Agentic AI systems are transforming how Drug Safety and Pharmacovigilance (PV) teams operate, make decisions, and ensure patient safety. This course is your gateway into that future.In this hands‑on, industry‑focused tutorial, you will learn how to design, build, and deploy Agentic AI solutions tailored specifically for drug safety workflows. Through real‑world use cases, domain‑specific applications, and a guided project, you'll gain the practical skills needed to bring intelligent automation into PV operations with confidence.We go far beyond theory. You'll explore the core building blocks of Agentic AI, including:AI Agents and multi‑agent systemsFunction calling and tool callingLLM‑powered reasoning and decision‑makingWorkflow design and orchestrationHuman‑in‑the‑loop oversightGuardrails, safety, and complianceBest practices for building robust Agentic AI systems in regulated environmentsYou'll see how these components come together to solve real challenges in Drug Safety-case intake, triage, narrative generation, quality checks, signal detection support, literature monitoring, and more. By the end, you won't just understand Agentic AI. you'll be ready to build your own.You'll see how these components come together to solve real challenges in Drug Safety-case intake, triage, narrative generation, quality checks, signal detection support, literature monitoring, and more. By the end, you won't just understand Agentic AI. you'll be ready to build your own.Thank you.
Software Engineers,Pharmacovigilance Professionals
Agentic Ai In Drug Safety And Pharmacovigilance Operations
Published 1/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 597.18 MB [/center] | Duration: 1h 54m
Take Your Career To Next Level : Learn via Practical Use Case Demonstration - Concept to Design, Validation & Deployment
What you'll learn
Agentic AI in Drug Safety
Application of Agentic AI in Pharmacovigilance Operations
AI Agents for life Sciences
CrewAI framework for Agentic AI
Fundamentals of Agentic AI
Requirements
Understanding of Pharmacovigilance or Drug Safety Domain
Basic understanding of AI Terminologies
Description
The pharmaceutical industry is entering a new era-one where Agentic AI systems are transforming how Drug Safety and Pharmacovigilance (PV) teams operate, make decisions, and ensure patient safety. This course is your gateway into that future.In this hands‑on, industry‑focused tutorial, you will learn how to design, build, and deploy Agentic AI solutions tailored specifically for drug safety workflows. Through real‑world use cases, domain‑specific applications, and a guided project, you'll gain the practical skills needed to bring intelligent automation into PV operations with confidence.We go far beyond theory. You'll explore the core building blocks of Agentic AI, including:AI Agents and multi‑agent systemsFunction calling and tool callingLLM‑powered reasoning and decision‑makingWorkflow design and orchestrationHuman‑in‑the‑loop oversightGuardrails, safety, and complianceBest practices for building robust Agentic AI systems in regulated environmentsYou'll see how these components come together to solve real challenges in Drug Safety-case intake, triage, narrative generation, quality checks, signal detection support, literature monitoring, and more. By the end, you won't just understand Agentic AI. you'll be ready to build your own.You'll see how these components come together to solve real challenges in Drug Safety-case intake, triage, narrative generation, quality checks, signal detection support, literature monitoring, and more. By the end, you won't just understand Agentic AI. you'll be ready to build your own.Thank you.
Software Engineers,Pharmacovigilance Professionals
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