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AI Basics Course
Unlock the potential of AI in chemistry with our AI Basics Course (India), tailored for chemistry professionals in India keen to integrate cutting-edge technology into their work. This course covers essential topics, including AI applications in chemical research, predictive modelling, and chemical property prediction. You'll gain practical experience with machine learning, model evaluation, and data handling techniques, empowering you to improve research efficiency and innovation. Join us to transform your chemistry expertise with AI insights, relevant to the Indian context.
- Master AI applications: Leverage AI in chemical research and property prediction within the Indian chemistry landscape.
- Optimise models: Enhance performance using techniques like cross-validation and hyperparameter tuning, adapted for Indian datasets.
- Build algorithms: Select and train appropriate machine learning models for chemistry-related challenges prevalent in India.
- Data proficiency: Collect, clean, and preprocess chemical data effectively, keeping in mind the nuances of data availability in India.
- Understand AI basics: Grasp key AI concepts and their evolution in the context of chemistry research and development in India.

flexible workload of 4 to 360h
certificate recognized by MEC
What will I learn?
Unlock the potential of AI in chemistry with our AI Basics Course (India), tailored for chemistry professionals in India keen to integrate cutting-edge technology into their work. This course covers essential topics, including AI applications in chemical research, predictive modelling, and chemical property prediction. You'll gain practical experience with machine learning, model evaluation, and data handling techniques, empowering you to improve research efficiency and innovation. Join us to transform your chemistry expertise with AI insights, relevant to the Indian context.
Elevify advantages
Develop skills
- Master AI applications: Leverage AI in chemical research and property prediction within the Indian chemistry landscape.
- Optimise models: Enhance performance using techniques like cross-validation and hyperparameter tuning, adapted for Indian datasets.
- Build algorithms: Select and train appropriate machine learning models for chemistry-related challenges prevalent in India.
- Data proficiency: Collect, clean, and preprocess chemical data effectively, keeping in mind the nuances of data availability in India.
- Understand AI basics: Grasp key AI concepts and their evolution in the context of chemistry research and development in India.
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Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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