Introduction to Practical Microbiology

Offered byFutureLearn

Introduction to Practical Microbiology
at
FutureLearn
Overview

Duration	4 weeks
Total fee	₹2,763
Mode of learning	Online
Official Website	Go to Website
Credential	Certificate

Introduction to Practical Microbiology
at
FutureLearn
Highlights

Duration 4 weeks
Weekly study 2 hours
100% online Learn at your own pace

Introduction to Practical Microbiology
at
FutureLearn
Course details

Skills you will learn

Software Testing

More about this course

On this four-week course, you'll discover the basic concepts of microbiology from a practical perspective.
Get to know how to identify microbes, what antimicrobial resistance is, and how you can analyze and interpret data in a laboratory setting, as well as advice for both low and higher resource settings.
This course teaches you about all the basic concepts of microbiology. Develop a solid foundation base for further study and practice in the field of microbiology by learning how to define microbes, antimicrobials, and antibiotics. Confidently navigate every basic topic, name, principle, and process of microbiology.
By the end of this course, you won't just have a confident understanding of the classification, structure, and roles of microbes, but will also be familiar with their laboratory identification and the common sites of infection.
On this course you'll learn how to define antimicrobial resistance, its mechanisms, drivers, and co-resistance. Learn how microbes and antimicrobials work, and how antimicrobial resistance (AMR) happens.
Discover the basic concepts of 'superbugs', and analyze the results of Antimicrobial Susceptibility Testing (AST), including their different breaking points, cut-off settings, and their application in the clinical context.
Decipher how to take samples and specimens to detect microbes, as well as methods to study antimicrobial susceptibility in the laboratory setting.
Learn to compare bactericidal and bacteriostatic substances, see how they move through the body by studying PK/PD models, and learn how to increase the efficacy of antimicrobials based on the results.