GOVERNMENT-CERTIFIED COURSE
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AI Applications in Biotechnology & Food Sciences (SDT-AIBF)
Applies AI/ML concepts to life-science and food-technology use cases, tailored for BSc students in biology, biotechnology, and food science specialisations. Tools & Platforms: Python (basic), AI tools for bioinformatics, spreadsheet-based analysis
₹60,000
₹46,200
Save ₹13,800
6 Months
Duration
Live +
Recorded
Max 30
Students
Govt.
Certified
Empowering learners with AI skills
to build a smarter tomorrow.
to build a smarter tomorrow.
Learning Outcomes
- Apply AI-assisted analysis techniques to biological or food-science datasets
- Build simple predictive models for shelf-life, quality, or safety indicators
- Produce a lab/QA-ready report communicating AI-driven findings
Course Objectives
- Understand key applications of AI/ML within life sciences and food technology
- Develop practical skill in applying AI tools to biological and experimental datasets
- Build awareness of ethical considerations specific to AI in biological research
Applications in Industry
- QA/QC and lab-support roles in biotechnology and food-processing companies
- Research-assistant roles in genomics, pharma, and life-science research settings
- Foundation for postgraduate specialisation in bioinformatics or computational biology
Course Content — Modules
- Overview of AI applications in life sciences: drug discovery, genomics, diagnostics
- AI in food science: quality prediction, shelf-life estimation, safety monitoring
- Basic data handling for biological/experimental datasets
- Introduction to bioinformatics tools and databases (conceptual)
- Ethical considerations in AI-driven biological research
- Foundations Recap & Concept Check
- Using AI tools to analyse experimental/lab datasets
- Predictive modeling for food quality/shelf-life (simplified dataset)
- Image-based AI analysis for microscopy/food inspection (conceptual + tool-based)
- AI-assisted literature review for scientific research
- Basic statistical modeling for biological data
- Introduction to AI-driven diagnostic support systems
- Skill Consolidation Workshop
- Applied Mini-Exercise / Practice Lab
- Case Study: AI-based prediction of food spoilage risk
- Case Study: AI-assisted analysis of a genomics/biological dataset
- Cross-Case Synthesis & Group Presentation
- Capstone Kickoff & Problem Scoping
- Capstone Development — Core Build (AI Applications in Biotechnology & Food Sciences)
- Capstone Review & Mentor Feedback
- Capstone Finalisation & Presentation
- Resume, Portfolio & LinkedIn Refresh
- Mock Interview Rounds & Feedback
- Capstone Presentation — Mock Panel Pitch
No certificate samples available yet.
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Course Delivery Format
Duration6 months (100 hours total)
ModeOnline Live Classes + Recorded Lectures
ScheduleWeekend & Weekday Evening Batches
Batch SizeMaximum 30 students
Prerequisites
- Laptop/Desktop with stable internet connection
- Basic English proficiency
- Willingness to dedicate 4–5 hours weekly
- No prior technical knowledge required
Investment & Scholarships
Course Fee
₹60,000
₹46,200
EMI OptionsAvailable
ScholarshipsMerit-based & Need-based
Early Bird15% Discount
Certification
- Course Completion Certificate
- Industry-recognized certifications
- LinkedIn badge
- Project completion certificates
Placement Support
- Resume building & LinkedIn optimization
- Mock interviews & soft skills training
- Access to job portal with 200+ partners
- Networking sessions with industry professionals
- Lifetime placement assistance
Learning Support
- 24/7 access to recorded lectures
- Doubt clearing sessions twice weekly
- Dedicated mentor support
- Peer learning community
- Monthly industry expert guest lectures