AI for Life Sciences

RATING 4.5 ★ 48 Hours Online Mode Certificate Included

PKR 6000

Enroll Now

Course Overview

This course introduces the application of Artificial Intelligence (AI) in Life Sciences. It focuses on how machine learning and deep learning techniques can be used to analyze biological and medical data, support disease diagnosis, accelerate drug discovery, and improve healthcare research. The course is designed for students and professionals interested in the intersection of biology, healthcare, and artificial intelligence.

Learning Outcomes

By the end of this course, participants will be able to:

Understand the fundamentals of Artificial Intelligence and Machine Learning.
Explore the role of AI in healthcare and biological research.
Analyze biological datasets using machine learning techniques.
Apply AI models to solve problems in genomics, drug discovery, and medical imaging.
• Apply AI models to solve problems in genomics, drug discovery, and medical imaging.

Course Modules

📘 Module 1: Introduction to AI and Life Sciences (6 Hours)

Overview of Artificial Intelligence
Introduction to Life Sciences data
AI applications in healthcare and biotechnology

📘 Module 2: Fundamentals of Machine Learning (8 Hours)

Supervised vs Unsupervised Learning
Classification and Regression models
Model evaluation techniques

📘 Module 3: Data Handling in Life Sciences (8 Hours)

Biological and medical datasets
Data preprocessing and feature engineering
Working with structured and unstructured data

📘 Module 4: AI in Genomics and Bioinformatics (8 Hours)

AI applications in genomics
DNA sequence analysis
DNA sequence analysis

📘 Module 5: AI in Medical Imaging (8 Hours)

Image processing basics
Deep learning for medical image analysis
Disease detection using AI

📘 Module 6: AI in Drug Discovery and Healthcare (6 Hours)

AI-driven drug discovery
Predictive analytics in healthcare
Clinical decision support systems

📘 Module 7: Ethics and Future of AI in Life Sciences (4 Hours)

Ethical considerations in healthcare AI
Data privacy and security
Future trends and research directions

Tools & Technologies Covered

Python Pandas NumPy Matplotlib Scikit-learn TensorFlow Google Colab Jupyter Notebook GitHub

Target Audience

Students of Computer Science, Biotechnology, Bioinformatics, Health Sciences
Researchers and professionals interested in AI applications in biology and healthcare
Beginners with basic programming knowledge wanting to enter AI field
Career switchers looking to upskill in data science and AI

Assessment & Certification

Hands-on Exercises: Practical coding assignments after each module
Mini Project: Real-world dataset analysis or application development
Final Assessment: Comprehensive evaluation at course end
Certificate: Course completion certificate from ConnecToLead

Why Choose This Course?

✅ Industry-relevant curriculum
✅ Hands-on projects and real-world case studies
✅ Learn from experienced instructors
✅ Flexible online learning schedule

✅ Lifetime access to course materials
✅ Dedicated support and doubt clearing
✅ Certificate of completion
✅ Career guidance and mentorship

Enroll in This Course

Your information is secure. We'll contact you within 24 hours.

ConnecToLead - Empowering Women in Tech