AI in Regulatory Affairs eCTD, Labeling & Compliance

Master generative AI to automate eCTD Module 2 drafting, global variations, and health authority query responses.
What you'll learn
Automate the drafting of eCTD Module 2 (Quality, Non-Clinical, and Clinical) summaries using generative AI to drastically reduce preparation time.
Develop AI-driven workflows to compile and align global variations (Type IA, IB, II) and post-marketing changes for FDA and EMA compliance.
Engineer precise AI prompts to analyze Health Authority queries, enabling rapid, defensible, and fully compliant automated responses.
Establish quality control frameworks to audit AI-generated regulatory documents, manage hallucinations, and ensure complete source traceability.
Automate the alignment of Core Data Sheets (CCDS) to local country labels (USPI, SmPC) and track version history using AI tools.
Requirements
A foundational understanding of Regulatory Affairs concepts (such as the eCTD structure, global variations, and basic labeling).
No prior programming or artificial intelligence experience is required; we will teach you how to use generative AI tools from scratch!
Access to a computer with a standard web browser and an internet connection.
Description
his course contains the use of artificial intelligence.
Welcome to SafeMeds Academy.
This course is a practical, career-focused training program on AI in regulatory affairs, covering eCTD structure, Module 2 drafting, global labeling lifecycles, Health Authority query responses, post-marketing variations, validation frameworks, and responsible AI-supported regulatory operations.
The course is designed to help learners understand how artificial intelligence can be used in real regulatory affairs and operations environments. You will learn how modern AI models connect complex regulatory guidelines, submission templates, clinical and non-clinical data, and compliant dossier preparation.
Throughout the course, you will explore key elements of regulatory submissions, including eCTD Modules 1 to 5, Quality Overall Summaries (QOS), Non-Clinical and Clinical overviews, Structured Product Labeling (SPL), Company Core Data Sheets (CCDS), and local country labels like USPI and SmPC.
You will also learn how to navigate global regulatory databases (such as FDA, EMA, and PMDA), trace country-specific submission Requirements, and identify accelerated pathways like 505(b)(2). The course includes workflows for drafting defensible Health Authority query responses, managing post-approval CMC changes, compiling Type IA, IB, and Type II variations, and automating annual reports.
Because regulatory affairs demands absolute precision, the course teaches the responsible, compliant use of AI. This includes validation under FDA 21 CFR Part 11 and GAMP 5 frameworks, prompt engineering templates, audit trails, and strict human-in-the-loop verification processes to manage hallucination risks and secure data privacy.
By the end of the course, you will have a stronger practical understanding of regulatory affairs automation and how to approach eCTD authoring, global labeling alignment, post-marketing variations, and health authority interactions with more confidence.
Who this course is for
Regulatory Affairs Associates, Specialists, and Managers looking to automate manual submission tasks and speed up daily workflows.
Regulatory Strategists seeking to leverage AI for analyzing global guidelines and drafting defensible Health Authority query responses.
Quality Control professionals and Medical Writers involved in authoring, reviewing, or cross-referencing eCTD Modules (Modules 2-5).
Life Science graduates and transitioning professionals who want a competitive, modern edge in the pharmaceutical industry.
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