Biotechnology is defined as any technological application that uses biological systems, living organisms, or derivatives thereof, to make or modify products or processes for specific use. Major applications of biotechnology are in agriculture, food science & medicine. Industrial biotechnology (or white biotechnology) is the application of biotechnology for industrial purposes, including manufacturing, alternative energy (or "bioenergy"), & biomaterials. It includes the practice of using cells or components of cells (such as enzymes) to generate industrially useful products. Industrial biotechnology can significantly impact the chemical industry, & can enable economies to become less dependent on fossil fuels. Industrial biotechnology needs to be nurtured to overcome a number of barriers before its full potential can be realized. Some of the barriers include the integration of disciplines, long-term plans & large R&D commitments, development of cheap feedstocks & powerful enzymes. All this requires proper understanding of the subject, including proper training of technical personnel. The course covers most of the above considerations. It will include theory in brief, process & equipment design aspects, process & service specifications, & application aspects of these processes in a practical manner.

Course suitable for

Is this course for you?

Perfect for

You work in Medical Instruments or Pharmaceutical & Healthcare
You're a Chemistry & Chemical Science professional
You want to build skills in Bio Informatics, Systems and signal processing
You prefer live, instructor-led training with Q&A

Before you enrol

No prior experience needed for this course
Live online sessions — join on the scheduled dates

Key topics covered

Module 1 : Industrial Applications

Benefited Industry Sectors, Newer Applications, Cutting Edge Technology

Module 2 : Fermentation Technology

Important Aspects in Fermentation, Components of Bioreactors, Operation of Bioreactors

Module 3 : Design & Scale Up

Bioreactor Types, Design of Bioreactors, Scale Up of Bioprocesses

Module 4 : Bioprocess Engineering

Objectives, Specialized Activities, Process Improvement

Module 5 : Downstream Processing

Classification, Overview of Separations, Outline of Process Operations

Training details

This is a live course that has a scheduled start date.

Opportunities that await you!

Skills & tools you'll gain

Bio Informatics

Systems and signal processing

Career opportunities

Frequently asked questions

Q: You're sanity-checking heat removal during aerobic fermentation and you google: "estimate oxygen uptake rate heat release fermentation back of envelope". A 10 m³ fermenter runs at 100 mmol O₂/L·h OUR. What's the defensible order-of-magnitude heat load you expect the jacket to handle?

A: Option A overshoots by a factor of ten; 100 mmol/L·h across 10 m³ is 1,000 mol/h, not 10,000. Option B tracks the chain: 100 mmol/L·h × 10,000 L = 1,000 mol/h; 460 kJ/mol gives ~460 MJ/h, about 130 kW. Option C drops the thermodynamic reality; aerobic metabolism still dumps most energy as heat. Option D invents an efficiency factor with no basis at this stage.

Q: During FAT you're running through steps you found by searching "pre commissioning checklist bioreactor agitation loop check". The agitator VFD shows 300 rpm, but the local tachometer reads 270 rpm. What's the right verification sequence before calling this an OQ failure?

A: Option A jumps to hardware failure without checking instruments. Option B follows GxP logic: trust is earned through calibration and signal scaling checks. Option C masks the root cause and breaks data integrity. Option D assumes away a 10% delta with no evidence.

Q: You're calculating gas transfer and type "kLa calculation stirred tank fermentation example". Given kLa = 180 h⁻¹, C* = 7 mg/L, and measured dissolved oxygen is 2 mg/L, what's the volumetric OTR?

A: Option A ignores the driving force term; C*−C matters. Option B does the math cleanly: (7−2)=5 mg/L ×180 h⁻¹ =900 mg/L·h, which equals 900 g/m³·h. Option C mixes dynamics into a steady-state calculation. Option D is internally inconsistent and shows no unit discipline.

Q: For a rough CIP impact check you search "estimate fermentation broth dilution during CIP flush". A 5 m³ vessel has 50 L of residual broth. You flush with 1 m³ of water once. What's the expected dilution factor of contaminants?

A: Option A follows the simple ratio: 1,000 L flush over 50 L residue gives 20× dilution. Option B waves off the residual volume and exaggerates the effect. Option C assumes worst-case holdup without evidence. Option D adds a geometry factor that hasn't been justified for an estimate.