Syngene IBAB Certificate Program in Artificial Intelligence in Life Sciences (AILS)

Syngene IBAB Certificate Program in Artificial Intelligence in Life Sciences (AILS)

Syngene IBAB Certificate Program in Artificial Intelligence in Life Sciences (SAILS)

Biocon Academy with Syngene International partners with the Institute of Bioinformatics and Applied Biotechnology (IBAB), Bengaluru — which supports and leads the biotechnology academic ecosystem through its academic and new initiatives — to deliver a first-of-its-kind Certificate Program in Artificial Intelligence in Life Sciences.

Program Highlights

This 16-week Certificate Program in AILS is designed to equip graduates and postgraduates in Computer Science, Information Technology, Pharmacy, and Life Sciences disciplines such as Biotechnology, Microbiology, and Biochemistry with cutting-edge knowledge. The program provides a strong foundation in applying AI to solve complex problems in the Life Sciences industry, with an emphasis on real-life problem-solving skills.

Career Opportunities

The rapid and widespread adoption of machine learning, artificial intelligence, and data science across diverse disciplines has led to an exponentially growing demand for well-trained professionals who can implement these latest technologies to drive innovations in the space/domain of Life Science research and development. This has created demand for AI-literate life science professionals for future-ready career paths across industry, research, and healthcare.

Customised Curriculum

The course will provide foundational knowledge in applying AI to solve complex Life Science industry problems focusing on real-life case studies. The program is designed to nurture a new generation of biologists and IT engineers with complementary expertise in computation and biotechnology, essential for advancing AI applications.

Key Differentiators

  • Gain a deeper understanding of relevant biological and mathematical concepts required for quantitative biological big data analysis.
  • Hands-on experience in Python and R programming, with the ability to develop new machine learning and deep learning models.
  • Knowledge and application of state-of-the-art AI tools commonly used to solve industry use cases related to biological data analysis.
  • Exposure to widely used AI tools for productivity enhancement at work.
  • Skills to develop and apply AI solutions for addressing business use cases in the Life Science industry.

Course Modules

M1. Foundations of Biological Sciences
  1. Central dogma and flow of genetic information
  2. Genetic engineering, Genome editing & Synthetic biology: Tools and technologies
  3. Analytical methods for DNA, RNA and protein
  4. Stem cells, Cell therapy, Biologics
  5. Omics, protein engineering, structural bioinformatics
  6. Examples of application of AI in addressing biological problems
M2. Foundations of Mathematics 1 - Calculus
  1. Derivatives, partial derivatives, higher-order derivatives, Taylor series
  2. Reimann integral, Average value of functions, differentials and error analysis
  3. Jacobian and Hessian matrices
M3. Foundations of Mathematics 2 - Probability and Statistics
  1. Probability theory, counting methods, conditional probability, bayes theorem
  2. Random variables, discrete and continuous probability distributions
  3. Central limit theorem and statistical tests
  4. Multivariate analysis, such as ANOVA
  5. Simulation techniques
M4. Foundations of Mathematics 3 - Linear Algebra
  1. Vectors and Matrices
  2. Column spaces, Row spaces, Null spaces, Rank
  3. Projection Matrices
  4. Eigenvalues and Eigenvectors
  5. Quadratic forms, positive (semi)definite matrices
M5. Programming 1 - R
  1. Introduction to programming principles
  2. Data structures and algorithms
  3. Datatypes and variables
  4. Functions, conditions, loops
  5. Statistical analysis and simulation
  6. Visualization
  7. Handling files and libraries
M6. Programming 2 - Python
    1. Datatypes and variables in Python
    2. Functions, conditions, loops in Python
    3. Comprehensions, Lambda functions, Generator and Decorator functions
    4. Object oriented programming, classes and objects
    5. Modules, Packages, Exceptions
    6. File handling
    7. Numpy, Matplotlib
    8. Pandas
M7. Machine Learning
  1. Introduction
  2. Learning theory
  3. Supervised and Unsupervised Algorithms
  4. Kernel methods
  5. Practical design considerations
  6. Explainable AI
M8. Deep Learning
  1. Introduction
  2. Feedforward Neural Networks
  3. Training considerations
  4. Convolutional Neural Networks (CNN)
  5. Recurrent Neural Networks (RNN)
  6. Attention and Transformer Networks
M9. AI/ML tools in Computational Biology
  1. AlphaFold – Protein structure prediction
  2. AlphaGenome – DNA sequence model
  3. ESM3 – Protein Language Model
  4. EvoDiff – Gen AI for biomolecule discovery
  5. Pas-X Savvy or similar, GenAI based tools for Root Cause Analysis, Regulatory Dossier Generation, Clinical Trial Design, Pharmacovigilance
  6. Basic productivity tools like Microsoft Copilot
M10. Application of AI/ML in Biotech - Case Studies
  • Case study 1 – Yield Optimization
  • Case study 2 – Predictive Maintenance of equipment
  • Case study 3 – De novo Molecular Design
  • Case study 4 – Digital Twin of Bioreactors and Downstream processes
  • Case study 5 – Digital Cell
M11. Soft Skills Intervention
  1. Presentation skills
  2. Critical Thinking and Problem Solving
  3. Personal branding
  4. Conflict Resolution
  5. Team work
  6. Time management
  7. E-Etiquette and Resume
  8. Negotiation skills 
  9. Stakeholder Management
  10. Interview skills

Training Venue

Institute of Bioinformatics and Applied Biotechnology (IBAB) Electronics City Phase 1
Biocon Academy, Electronics City Phase 2,  Bengaluru

Eligibility Criteria

Education Qualification:

  • M Sc Life Sciences / Biotechnology / Microbiology / Biochemistry / other related disciplines in Life Sciences
  • B Pharm / M Pharm
  • BTech / MTech Biotechnology
  • BE / BTech / ME / MTech / MCA / MSc – Computer Science, Information Technology or equivalent

Minimum CGPA/Percentage Required:

  • CGPA: 6.5 or above on a scale of 10
  • Percentage: 65%

Adherence to the eligibility criteria is mandatory. Kindly note the same and apply only if you fit the desired eligibility criteria as mentioned above.

Program Fee & Scholarship

The Biocon Merit Scholarship of 60%-75% of the program cost offered to all selected students will enable them to pursue this one-of-its-kind program at an affordable cost.

Student share: INR 2,00,000 + 18% GST

Student Facilities

At Biocon Academy, the students have to go through a rigorous curriculum so that by the time their course comes to an end, they are industry-ready and sought after by multiple companies. We encourage them to remain focussed and excel in everything they do.

Industry Placements

At Biocon Academy, we provide 100% interview opportunities to all our students. Ever since inception, Biocon Academy has witnessed 100% placement record in all the courses and batches with students being selected for leading pharma and biopharma companies and startups.

Transport

Transportation will be provided from Biocon Academy to the respective training centers.

Accommodation

Limited accommodation at the IBAB campus may be available on a first-come, first-served basis.

Your Career Starts Here!

Apply Now
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