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Good Laboratory Practices

Develop essential life sciences skills with expert instruction and practical examples.

Online Course
Self-paced learning
Flexible Schedule
Learn at your pace
Expert Instructor
Industry professional
Certificate
Upon completion
What You'll Learn
Master the fundamentals of life sciences
Apply best practices and industry standards
Build practical projects to demonstrate your skills
Understand advanced concepts and techniques

Skills you'll gain:

Professional SkillsBest PracticesIndustry Standards
Prerequisites & Target Audience

Skill Level

IntermediateSome prior knowledge recommended

Requirements

Basic understanding of life sciences
Enthusiasm to learn
Access to necessary software/tools
Commitment to practice

Who This Course Is For

Professionals working in life sciences
Students and career changers
Freelancers and consultants
Anyone looking to improve their skills
Course Information

About This Course

This course will make you understand about different aspects of good laboratory practices. The first aspect will include data integrity in analytical laboratory and microbiolgy laboratory. This will mainly focus on FDA/EU Citations,Non IT - Focus area for data integrity, IT- Focus area for data integrity,Some examples of data integrity,Current trends of inspectors,Data integrity in Microbiology laboratories - Some examples etc.

Furthermore, attendees will learn about Different guidelines on Data Integrity, Evaluation of FDA warning letter and assessment,Understanding ALCOA+ concept, Common examples of data integrity,Audit Trail in microbiology, Sterility Test - When we can repeat and many more. Further this good laboratory practices session will take you through analytical method validations, stability studies, out of specification and out of trend investigations and the most common problems solving in analytical laboratories. The analytical method validation comprises of FDA expectations about analytical method, Brief on QBD approach,How practically approach for validation,Role of QRM in analytical method validation,Brief information on ICHQ14 - Analytical method development,Detailed on ICHQ2(R1) - Analytical method validation,Understanding of all validation parameters,Overall evaluation and Revalidation criteriaThe most common problem in analytical laboratories is human error investigation.

Many errors are identified as human errors. This course is having specific one lecture which will focus on learning about different types of human errors and how to investigate and avoid the human errors.

Provider
Udemy
Estimated Duration
10-20 hours
Language
English
Category
Science & Academia

Topics Covered

Life Sciences

Course Details

Format
Online, Self-Paced
Access
Lifetime
Certificate
Upon Completion
Support
Q&A Forum
Course Details
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This course includes:

Lifetime access to course content
Access on mobile and desktop
Certificate of completion
Downloadable resources

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