Accelerating Science
Generative AI for Research & Innovation
Presented by Celoris Designs. To equip scientists and research engineers with the tactical skills to integrate advanced AI agents (GPT-4o, Claude 3.5, and upcoming GPT-5 class models) into the scientific method—from accelerating literature review to automating experiment protocols and predicting molecular properties.
Course Mission
To equip scientists and research engineers with the tactical skills to integrate advanced AI agents into the scientific method—from accelerating literature review to automating experiment protocols and predicting molecular properties.
What You Will Master
Curriculum Overview (8-Week Intensive)
Capstone Projects
Choose one track to build a portfolio-ready asset that demonstrates your mastery of AI in R&D.
The Grant Writer Bot
Fine-tune a model on successful grant applications to draft methodology sections.
The Protocol Optimizer
Build a tool that identifies failure points in lab protocols based on chemical properties.
The Virtual Screener
A pipeline that screams a library of small molecules for binding affinity to a target protein.
Why This Course?
Immediate ROI
Save hours of manual labor in reading, pipetting planning, and coding immediately.
The Modern Scientist
Position yourself as one who commands AI rather than being replaced by it.
Industry Demand
Pharma and Biotech companies are aggressively hiring 'AI Leads' for wet labs.
Future-Proof Skills
Shift from Hypotheses to Protocols in seconds using the latest model classes.
What Our Learners Say
"This course completely changed how I approach research. I went from spending weeks on literature review to generating structured hypotheses in hours. The module on protocol optimization alone saved my lab months of trial-and-error."
Dr. Ananya Verma
PhD Researcher – Biotechnology
"I was skeptical about AI in wet labs—this course removed that skepticism fast. Automating protocol checks and predicting failure points using AI agents felt like having a senior postdoc working 24/7."
Rahul Mehta
Senior Wet Lab Scientist – Pharma
"The chemistry and materials modules were incredibly practical. I built a virtual screening pipeline during the course that we are now actively evaluating for internal R&D."
Dr. Neha Kulkarni
Materials Science Engineer
"The way LLMs were framed as scientific reasoning engines—not just chatbots—was eye-opening. The self-driving lab concepts feel like the future, and now I actually know how to build them."
Amit Rosenberg
Postdoctoral Fellow – Computational Biology
"I didn’t have strong coding skills, but the workflows were explained clearly enough that I could still implement real AI tools. The data analysis module alone justified the course fee."
Sneha Iyer
Research Scientist (Early Career)
"This course helped me bridge the gap between AI hype and real lab execution. We’re now using AI-assisted experiment design in our startup, and it’s already improving reproducibility and speed."
Daniel Wong
Founder – BioTech Startup
"The automated literature review and hypothesis generation module felt like cheating—in the best way. I used the techniques directly in my thesis proposal and my advisor was genuinely impressed."
Priya Sharma
MSc Student – Life Sciences
"Finally, a course that understands both science and modern AI. The sections on hallucinations, IP, and reproducibility were especially valuable—this isn’t just powerful, it’s responsible."
Lucas Fernández
Research Engineer – AI & Science
"What surprised me most was the immediate ROI. We’re already saving hours every week on protocol planning and data cleanup. This course pays for itself very quickly."
Karan Malhotra
Lab Manager – Molecular Biology
"This is not a theoretical AI course—it’s tactical and deeply relevant to real research. It helped me rethink my entire workflow, from idea generation to execution."
Prof. Michael Stein
Senior Scientist – Academia
Frequently Asked Questions
Accelerating Science Mastery Assessment
Validate your expertise in AI for scientific research, lab automation, and biotech innovation.
Accelerating Science Mastery Assessment
50 questions covering AI models, biotech startups, lab architecture, and research methodologies.
Celoris Designs
Celoris Designs
Pioneering AI in Science
Specifically focused on the intersection of LLMs, Robotics, and Bench Science. We bridge the gap between AI engineering and wet lab innovation.
Target Profile
- Background in Science (Biology, Chemistry, Materials) or Research Engineering
- Basic understanding of lab protocols and experimental design
- Interest in leveraging AI to accelerate R&D workflows
- No prior coding experience required (we use low-code tools)