AI in BioInformatics - 45 Hrs Summer Training Program'26 at IITMRP

45 Hours Bio-Informatics using AI

Conducted by Techobytes Technologies in collaboration with Entrepreneurship Development Cell IIT Delhi

About Techobytes

Techobytes Technologies is recognized as a leading organization in the design and delivery of technical, soft and hard skills training programs, ranging from individual workshops and certification courses to full-scale internship and bootcamp programs.

Our training solutions include classroom training, hybrid learning, and online programs, designed to equip students with industry-relevant skills and practical exposure.

Duration

The event is scheduled for 6 consecutive days, from 15th June 2026 to 20th June 2026.

The training will include 40 hours of intensive learning along with a project, covering concepts from basic to advanced level with project.

Note

Candidates opting for the offline training in Chennai will also receive access to one complimentary 45-hour online course of their choice.

Benefits & Certification

45 Hours Certification / Internship Program

3 Certificates for each participant

- Participation Certificate

- Bootcamp / Internship Certificate

- Project Completion Certificate

Note: The duration in the certificate can be modified as per the College/University requirement from 4 weeks to 8 weeks (1 Month - 2 Months).

Course Duration: 45 Hours

Level: Beginner to Advanced

Target Audience: Open to ALL, B.Pharma, M. Pharma, B.sc , M.sc ,Undergraduate students, early researchers, or professionals entering AI in healthcare.

Advanced AI & Bioinformatics Program

Module 1: AI, Generative AI & Bioinformatics Foundations (3 Hours)

Scope of AI, Generative AI & Agentic AI in Healthcare

Real-world applications: drug discovery, precision medicine, diagnostics

Introduction to biomedical datasets

AI trends: LLMs in healthcare, multimodal AI

Module 2: Python + AI Tools for Bioinformatics (6 Hours)

Python fundamentals (Data Structures + OOP basics)

Libraries: NumPy, Pandas, Matplotlib

Introduction to AI tools & APIs (OpenAI, Hugging Face)

Working with biomedical data formats (CSV, DICOM basics)

Hands-on: Data exploration + AI-assisted analysis

Module 3: Data Engineering & Preprocessing (5 Hours)

Data cleaning, missing values, outlier handling

Feature engineering for biological data

Data pipelines & automation

Working with large-scale datasets

Hands-on: Preprocess real healthcare dataset

Module 4: Machine Learning + AutoML (7 Hours)

Supervised & Unsupervised Learning

Algorithms: Random Forest, XGBoost, SVM

AutoML tools for faster model building

Model evaluation (F1, AUC, Precision-Recall)

Hands-on: Disease prediction model

Module 5: Deep Learning + Generative AI (9 Hours)

Neural Networks & Deep Learning basics

CNNs for medical imaging (X-ray, MRI)

Introduction to Generative AI (LLMs, Diffusion Models)

AI for drug discovery & protein prediction (intro)

Hands-on: Image classification + GenAI use case

Module 6: Agentic AI & AI Automation (NEW – High Demand) (6 Hours)

Introduction to Agentic AI systems

Building AI agents for healthcare workflows

Prompt engineering & chaining

AI automation tools (LangChain basics)

Hands-on: Build a simple AI medical assistant

Module 7: Real-World AI Projects (10 Hours)

Students will build industry-ready projects:

Disease Prediction System

Medical Chatbot (LLM-based)

Medical Image Analysis (X-ray/CT)

AI-powered Health Data Dashboard

Module 8: Deployment, MLOps & Cloud AI (5 Hours)

Deploy AI models using Streamlit / Flask

Intro to MLOps & model lifecycle

Cloud basics (AWS / GCP intro)

API deployment & integration

Hands-on: Deploy your AI model

Module 9: Ethics, Explainability & Future Trends (4 Hours)

Bias & fairness in healthcare AI

Explainable AI (SHAP, LIME basics)

Data privacy & regulations

Future: AI in genomics, digital health, robotics

Deliverables

Assignments

Capstone Project (Presentation + Code)

Certification

Resume-ready portfolio projects

What’s NEW (Industry Upgrade)

Generative AI + LLMs

Agentic AI (high-demand skill)

AutoML & AI tools

Deployment & MLOps

Real-world healthcare use cases