The future of drug discovery is being transformed by Artificial Intelligence — and this course brings you directly into that transformation.

In this short course by Swalife Academy, you will learn how modern drug discovery is evolving from slow, trial-and-error experimentation to data-driven, AI-powered research workflows. Traditionally, developing a drug takes 12–15 years due to the complexity of biological systems, massive data, and repeated experimental failures. This course shows how AI can significantly reduce this timeline by enabling faster target identification, smarter decision-making, and efficient hypothesis generation.

You will be introduced to the Swalife Network Pharmacology Intelligence (NPI) Tool, an AI-powered platform that integrates disease biology, protein targets, phytochemicals, pathways, and scientific literature into one unified system. With just a disease and a herb (or compound), you will learn to generate meaningful insights in minutes — a process that traditionally takes days or even months.

The course is designed for beginners as well as researchers, with a strong focus on hands-on learning. You will not only understand the concepts but also perform your first real-world analysis using AI tools. By the end of the course, you will be able to interpret results, identify key biological targets, and generate research hypotheses that can be used in academic projects, publications, or drug development workflows.

This is not just a theoretical course — it is your first step into AI-driven drug discovery and translational research.

✅ What You Will Learn

✔ Understand the 4-stage drug discovery pipeline
✔ Learn how AI reduces 12-year timelines
✔ Use Swalife NPI Tool for real analysis
✔ Generate AI-driven research hypotheses

📚 Course Modules (ONLY 4 MODULES)

1️⃣ Foundations of Drug Discovery & AI

• 4-stage pipeline (Target → Lead → Optimization → Preclinical)
• Why drug discovery takes 12–15 years
• Role of AI in accelerating research

2️⃣ How AI Shortens Drug Discovery Timeline

• Biological “search problem”
• AI in real drug discovery (AlphaFold, Insilico)
• Network pharmacology for herbal medicine

3️⃣ Introduction to Swalife NPI Tool

• Disease → Herb → Target → Pathway workflow
• Dashboard metrics (6 key indicators)
• Understanding targets, pathways, phytochemicals

4️⃣ Your First AI Mining Run Demo (Hands-on)

• Perform disease–herb analysis
• Interpret targets, pathways & mechanisms
• Generate AI-based research hypothesis

👉 Outcome: Run your first AI-powered drug discovery workflow

🎯 Course Highlights

💻 100% Online (Lifetime Access)
🎓 Certificate of Completion
🧠 No coding required
🔬 Real research workflow