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Industrial Biotechnology & Fermentation

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Industrial Biotechnology & Fermentation

4(14)
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₹ 9999
18 hrs
Next month
English
99 views
Enggenious (SAN Techno Mentors)
Enggenious (SAN Techno Mentors)
  • 7-day money-back guarantee
  • Session recordings included
  • Certificate of completion

Why enroll

  • Profits & pitfalls in biotechnology

  • Large scale industrial manufacturing implications

  • Various types & categories of equipments available

  • Design & operation of bioreactors

  • Concept of sterilization & aseptic operations

  • Scale-up & scale-down of bioprocesses

  • Validation of bioprocesses & equipments

  • Process control instrumentation specific to bioprocesses

  • Downstream processing

Is this course for you?

You should take this if

  • 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

You should skip if

  • You need a different specialisation outside Chemistry & Chemical Science
  • You need fully self-paced, on-demand content

Course details

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

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

Opportunities that await you!

Skills & tools you'll gain

Bio InformaticsSystems and signal processing

Career opportunities

Training details

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

Why people choose EveryEng

Industry-aligned courses, expert training, hands-on learning, recognized certifications, and job opportunities-all in a flexible and supportive environment.

What learners say about this course

ANU VARGHESE
ANU VARGHESE Fresher
Feb 25, 2026

Initially, I wasn’t sure what to expect from this course. The material stayed fairly grounded, especially when walking through open-loop versus closed-loop control beyond the textbook definitions. Examples tied well to things seen in chemical and pharmaceutical plants, like temperature control on a batch reactor and level control on a distillation column, rather than abstract blocks alone. There was also enough overlap with oil & gas and energy utilities to be useful, such as discussing pressure control on separators and basic boiler control logic. One challenge was mentally translating the simplified examples to real systems with dead time, sensor drift, and valve stiction. That gap is where junior engineers usually struggle, and it would have helped to explicitly call out those edge cases earlier. Still, the discussion on why open-loop control occasionally makes sense (maintenance modes, analyzer-based control) matched actual industry practice better than most courses. A practical takeaway was being more systematic about identifying the true process variable and disturbance before defaulting to a PID loop. Thinking at the system level—how one loop affects upstream and downstream units—was reinforced throughout. The content felt aligned with practical engineering demands.

Tarun Kumar Rajak
Tarun Kumar Rajak Piping Engineer
Feb 25, 2026

This course turned out to be more technical than I anticipated. The treatment of open- and closed-loop control went beyond block diagrams and actually tied into situations seen in chemical and oil & gas facilities. Examples around distillation column temperature control and refinery feed flow control felt familiar, especially when discussing interactions between loops rather than treating them in isolation. One challenge was translating the clean theoretical models into messy plant realities. Dead time, sensor drift, and valve stiction were touched on, but it still took effort to mentally map those concepts to something like boiler drum level control in energy utilities, where safety margins dominate tuning decisions. That gap is real in industry, and it showed up here. What worked well was the emphasis on understanding process behavior before jumping to controllers. A practical takeaway was the reminder to question whether a loop even needs to be closed, particularly for slow-moving pharmaceutical batch processes where manual intervention can be more robust. Compared with common industry practices, the course leaned more analytical than procedural, which is useful for system-level thinking. The content felt aligned with practical engineering demands.

Enggenious (SAN Techno Mentors)
Enggenious (SAN Techno Mentors) People Transformation
Feb 25, 2026

Initially, I wasn’t sure what to expect from this course. Coming from oil & gas and energy utilities, QC tools are often mentioned but rarely taught in a structured way. The walkthrough of the seven basic tools—especially Pareto charts, cause-and-effect diagrams, and control charts—lined up well with issues seen in gas compression reliability and power plant outage analysis. One challenge was translating the examples into messy, real field data. In utilities, process data from SCADA systems isn’t always clean or normally distributed, which makes classic SPC limits tricky. The course touched on this only lightly, so some judgment is still needed when applying control charts to transient conditions like startups or load changes. A practical takeaway was how to combine a Pareto analysis with a fishbone diagram to avoid jumping straight to conclusions. That approach is useful when dealing with recurring pipeline maintenance defects or transformer failures, where multiple contributing factors interact at the system level. Compared with typical industry practice, which often jumps straight to formal RCA templates, this course reinforced the fundamentals first. Overall, it felt grounded in real engineering practice.

SRI BALAGI
SRI BALAGI
Feb 25, 2026

At first glance, the topics looked familiar, but the depth surprised me. The walkthrough of the seven QC tools went beyond textbook definitions and showed where they actually fit in day‑to‑day engineering work. In oil and gas operations, tools like Pareto charts and fishbone diagrams map well to recurring issues such as pump seal failures or pipeline leak root causes. Similar patterns show up in energy utilities, especially when analyzing forced outages in thermal plants or nuisance trips in substations. One challenge was translating these beginner‑level tools into heavily regulated environments. For example, control charts are useful, but in a refinery or power station the data is often sparse, noisy, or filtered through SCADA systems, which creates edge cases the course only lightly touched on. Still, the comparison between the traditional seven QC tools and the newer ones helped frame when a simple check sheet is enough versus when affinity diagrams or tree diagrams make more sense. A practical takeaway was using Pareto analysis earlier in troubleshooting instead of jumping straight to design changes. Compared with common industry practice, this reinforces discipline at the system level. The content felt aligned with practical engineering demands.

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Questions and Answers

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.

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.

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.

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.