| Attribute | Detail |
|---|---|
| Format | Online (e-LMS) |
| Level | Intermediate |
| Duration | 1 Month |
| Certification | e-Certification + e-Marksheet |
| Fee | ₹2249 / $49 |
| Tools | NCBI Tools BLAST PyMOL AutoDock ChemDraw Clustal Omega R Python |
About the Advanced Bioprocess Engineering Course
The aim of the Advanced Bioprocess Engineering program is to equip students and professionals with cutting-edge knowledge and skills in bioprocessing, focusing on the development and optimization of biotechnological processes used in the production of pharmaceuticals, biofuels, and other bioproducts. This program is designed to address the growing demands of the biotechnology industry for sustainable and efficient production methods.
Through a combination of theoretical instruction and practical laboratory experience, participants will learn to design, analyze, and implement complex biological systems and processes, enhancing their capability to drive innovation and improve productivity in biomanufacturing environments. The program also aims to foster a deeper understanding of the integration of biological sciences with engineering principles to solve real-world problems effectively.
Program Highlights
• Comprehensive coverage of Advanced Bioprocess Engineering from fundamentals to advanced applications
• Hands-on projects and real-world case studies in Biotechnology
• Expert-curated curriculum aligned with current industry standards
• Access to recorded lectures and e-LMS platform for flexible, self-paced learning
• e-Certification and e-Marksheet upon successful completion
• Dedicated mentor support and interactive doubt-clearing sessions
• Exposure to industry-standard tools and platforms used in Biotechnology
• Career-oriented training for academic and professional growth in Biotechnology
Course Curriculum
Module 1: Foundations of Deep Tech Bioprocessing
- Evolution from conventional to smart bioprocess systems
- Key unit operations in upstream and downstream bioprocessing
- Bioreactor types, control systems, and real-time monitoring
- Deep tech enablers: IoT, sensors, and automation in biotech workflows
Module 2: Bioprocess Analytics and System Integration
- Digital twins and workflow modeling in biomanufacturing
- PAT (Process Analytical Technology) and data-driven control
- Integration with SCADA/LIMS and production pipelines
- Quality by Design (QbD) and regulatory-compliant system design
Module 3: Scale-Up Engineering and Pilot Design
- Mass transfer, mixing, and scale-up constraints
- CFD modeling and engineering strategies for pilot-scale runs
- Fermentation kinetics, yield optimization, and productivity modeling
- Case studies from industrial biotech and pharmaceutical scale-up
Module 4: Smart Bioprocesses and Sustainable Bio-Industry
- AI/ML for predictive optimization and fault detection
- Circular bioeconomy: waste valorization and resource recovery
- Industrial applications: biopharmaceuticals, biofuels, enzymes
- Roadmap to commercialization: funding, IP, and policy frameworks
Tools, Techniques, or Platforms Covered
NCBI Tools BLAST PyMOL AutoDock ChemDraw Clustal Omega R Python
Real-World Applications
- Apply Advanced Bioprocess Engineering skills directly to academic research, thesis work, and publications
- Build a professional portfolio showcasing practical Biotechnology competencies
- Solve industry-relevant problems using Advanced Bioprocess Engineering methodologies and tools
- Contribute to open-source projects and collaborative research in Biotechnology
- Prepare for competitive examinations, interviews, and professional certifications in Biotechnology
Who Should Attend & Prerequisites
- Students pursuing degrees in Biotechnology, science, engineering, or related disciplines
- Working professionals seeking to upskill or transition into Biotechnology roles
- Researchers and academicians looking to adopt modern techniques in Biotechnology
- Entrepreneurs, freelancers, and self-learners interested in practical Biotechnology knowledge
Certification
