Program Description

Artificial Intelligence is transforming every stage of drug discovery—from literature analysis and target identification to hypothesis generation and research planning. This program provides a practical introduction to AI-powered drug discovery using Prompt Engineering, Large Language Models (LLMs), and modern AI research tools.

Participants will learn how to interact effectively with AI systems, compare multiple LLMs, perform scientific literature mining, and use the Swalife Predictive Intelligence Studio to generate structured research outputs. The program focuses on hands-on demonstrations, real-world biomedical examples, and practical workflows that researchers can immediately apply.

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What You Will Learn

By completing this program, you will learn to:

• Understand the role of AI in modern drug discovery
• Learn Prompt Engineering techniques for biomedical research
• Compare different Large Language Models (LLMs) for scientific applications
• Perform AI-assisted literature mining using Perplexity AI
• Design effective research prompts for drug discovery
• Generate structured research summaries using AI
• Evaluate AI-generated scientific information critically
• Build an efficient AI-assisted research workflow
• Use the Swalife Predictive Intelligence Studio for research support

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What Makes This Program Unique

• Practical approach with real drug discovery examples
• Focus on biomedical and pharmaceutical applications
• Hands-on Prompt Engineering techniques
• Comparison of multiple LLMs for research tasks
• AI-powered literature mining workflows
• Step-by-step demonstrations instead of theory alone
• Downloadable study guides for every module
• Access to Swalife Predictive Intelligence Studio
• Designed by researchers for researchers

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Program Structure

Module 1: Introduction to AI in Drug Discovery

• AI in pharmaceutical R&D
• Drug discovery workflow
• Applications and limitations

Module 2: Prompt Engineering Fundamentals

• Principles of effective prompting
• Biomedical prompt design
• Structured prompting techniques

Module 3: Literature Mining with Perplexity AI

• Scientific literature search
• Evidence extraction
• Research summarization

Module 4: Multi-LLM Comparison

• ChatGPT
• Claude
• Gemini
• Perplexity
• Selecting the right AI model for different research tasks

Module 5: Swalife Predictive Intelligence Studio

• AI-assisted research workflow
• Prompt templates
• Practical demonstrations
• Research report generation

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Final Outcome

After completing this program, participants will be able to:

• Apply AI effectively in biomedical research
• Design high-quality prompts for drug discovery
• Perform AI-assisted literature reviews
• Compare and select appropriate LLMs for research tasks
• Generate structured scientific outputs using AI
• Build a repeatable AI research workflow for future projects

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Who Should Join

• B.Pharm / M.Pharm / BSc / MSc / PhD Students
• Life Sciences, Biotech, Pharma Background
• Researchers & Faculty
• Anyone interested in AI in Healthcare

Instructor - Dr. Pravin Badhe
Founder – Swalife Biotech