Computer Aided Drug Designing Internship

Internship Project-Based Dr. Omics

Master industry-standard 2D/3D modeling with generative AI design workflows. Transform engineering concepts into professional, project-ready digital blueprints.

Mode: Live

Level: All Levels

Language: English

Certification: Available

Computer Aided Drug Designing Internship

Internship Overview

This intensive CADD Internship is a project-centric program designed to bridge the gap between academic theory and industrial application. Participants will dive deep into AutoCAD, SolidWorks, and Revit, while exploring the revolutionary impact of Generative AI in structural and mechanical optimization. Throughout the course, you will work on real-world simulations, moving from initial conceptual sketching to final 3D rendering and documentation. We focus on Industry 4.0 standards, teaching you how to utilize AI prompts for rapid prototyping and predictive modeling. By the end of the internship, you will have completed a comprehensive portfolio project that demonstrates technical precision and innovative problem-solving. This program is ideal for those looking to stay competitive in an era of automated engineering and smart manufacturing.

What You'll Achieve

Advanced 2D Drafting and 3D Parametric Modeling techniques.
Integration of AI Design Tools (like Vizcom.ai or Autodesk AI) for rapid ideation.
Application of GD&T (Geometric Dimensioning and Tolerancing) in professional drawings.
Workflow automation using LISP or Python for CAD scripts.
Real-world project management using BIM (Building Information Modeling) frameworks.

Project Details

During this internship, you'll work on real-world projects that include:

  • Hands-on implementation of concepts learned
  • Industry-standard tools and technologies
  • Project documentation and presentation
  • Code review and optimization sessions

Internship Curriculum

  • Introduction to the CADD Interface and AI-enhanced workspace setup.
    Session
  • Mastering Coordinate Systems, Layers, and Standardized Documentation.
    Session
  • Development of complex 3D Part Assemblies and Kinematic Simulations.
    Session
  • Utilization of Generative Design algorithms to optimize material usage.
    Session
  • Creation of photorealistic Architectural & Mechanical Renderings.
    Session
  • Final Capstone Project: Designing a market-ready industrial component or structural layout.
    Session

  • Topic 1 = Introduction to Bioinformatics
    Session
  • Topic 2 = NCBI Database Overview
    Session
  • Topic 3 M1T3 = Genbank Database Practical Exercises
    Session
  • Topic 4 M1T4 = UCSC Genome Browser Overview
    Session
  • Topic 5 M1T5 = UCSC Genome Browser Hands-on Exercises
    Session
  • Topic 6 M1T6 = Pubmed Database Introduction
    Session
  • Topic 7 M1T7 = Clinvar Database Overview
    Session
  • Topic 8 M1T8 = KEGG Database Overview and Exercises
    Session
  • Topic 9 M1T9 = Protein Databases (UniProt)
    Session
  • Topic 10 M1T10 = Protein Databases (PDB)
    Session
  • Topic 11 M1T11 = Online BLAST Introduction and Exercises
    Session
  • Topic 12 M1T12 = Standalone BLAST Setup and Exercises
    Session
  • Topic 13 M1T13 = Standalone BLAST Advanced Exercises
    Session
  • Topic 14 M1T14 = Multiple Sequence Alignment with ClustalW
    Session
  • Topic 15 M1T15 = Multiple Sequence Alignment with MEGAA
    Session

  • Topic 1 M2T1 = Overview and Installation of Linux
    Session
  • Topic 2 M2T2 = Basic Linux Commands
    Session
  • Topic 3 M2T3 = Advanced Linux Commands
    Session
  • Topic 4 M2T4 = Package Management using Repository
    Session
  • Topic 5 M2T5 = Package Management using Source Code
    Session

  • Topic 2 M3T1 = Introduction to Python
    Session
  • Topic 3 M3T2= Data Types
    Session
  • Topic 4 M3T3= String Handling
    Session
  • Topic 5 M3T4= Data Structure
    Session
  • Topic 6 M3T5=Control Structure
    Session
  • Topic 7 M3T6 = Function
    Session
  • Topic 8 M3T7= File Handling
    Session
  • Topic 9 M3T8= Data Manipulation
    Session
  • Topic 10 M3T9= Data Visualization
    Session
  • Topic 11 M3T10= Biopython
    Session

  • Topic 1 M4T1 = Introduction and Installation of R
    Session
  • Topic 2 M4T2= Data Types in R
    Session
  • Topic 3 M4T3= Data Structure
    Session
  • Topic 4 M4T4= File Handling
    Session
  • Topic 5 M4T5=Control Structure
    Session
  • Topic 6 M4T6 = Function
    Session
  • Topic 7 M4T7= Package Management
    Session
  • Topic 8 M4T8= Data Manipulation
    Session
  • Topic 9 M4T9= Data Visualization
    Session
  • Topic 10 M4T10= Statistical Analysis
    Session

  • Topic 1 M6T1 =Introduction to Drug Discovery Process
    Session
  • Topic 2 M6T2=Role of Computational Methods
    Session
  • Topic 3 M6T3= Hands-on: Chemical Structure Visualization
    Session
  • Topic 4 M6T4= Biomolecules and Their Properties
    Session
  • Topic 5 M6T5= Structure of Proteins and Ligands
    Session
  • Topic 6 M6T6= Hands-on: Protein Structure Visualization
    Session
  • Topic 7 M7T7= Molecular Visualization Tools
    Session
  • Topic 8 M6T8= Molecular Mechanics and Dynamics Simulations
    Session
  • Topic 9 M6T9= Molecular Mechanics and Dynamics Simulations (continued)
    Session
  • Topic 10 M6T10= Chemical Databases and Data Mining
    Session
  • Topic 11 M6T11= Ligand and Structure-Based Virtual Screening
    Session
  • Topic 12 M6T12= Hands-on: Chemical Data Exploration
    Session
  • Topic 13 M6T13= Advanced Virtual Screening Techniques
    Session
  • Topic 14 M6T14= Virtual Screening using Autodock Vina
    Session
  • Topic 15 M6T15= Principles of Molecular Docking
    Session
  • Topic 16 M6T16= Scoring Functions in Docking
    Session
  • Topic 17 M6T17= Hands-on: Molecular Docking
    Session
  • Topic 18 M6T18= Introduction to Molecular Dynamics
    Session
  • Topic 19 M6T19= Simulation Software (e.g., GROMACS)
    Session
  • Topic 20 M6T20= Hands-on: Analyzing MD Data
    Session
  • Topic 21 M6T21= Chemoinformatics: Data Analysis and Visualization
    Session
  • Topic 22 M6T22= Protein-Ligand Interaction Analysis
    Session
  • Topic 23 M6T23= Hands-on Protein-Ligand Interaction Analysis
    Session
  • Topic 24 M6T24= Pharmacophore Modeling and Applications
    Session
  • Topic 25 M6T25= Chemoinformatics: Data Analysis and Visualization (continued)
    Session
  • Topic 26 M6T26= Structure-Based Drug Design
    Session
  • Topic 27 M6T27= Ligand-Based Drug Design
    Session
  • Topic 28 M6T28= Hands-on Structure-Based and Ligand-Based Drug Design
    Session
  • Topic 29 M6T29= ADMET in Drug Development
    Session
  • Topic 30 M6T30= Course Conclusion
    Session

  • Topic 1 M7T1= Basics of Machine Learning
    Session
  • Topic 2 M7T2= Supervised, Unsupervised, and Reinforcement Learning
    Session
  • Topic 3 M7T3= Hands-on: Learn the Basics with scikit-learn Library in Python
    Session
  • Topic 4 M7T4= Data Cleaning and Feature Selection
    Session
  • Topic 5 M7T5= Handling Molecular Data
    Session
  • Topic 6 M7T6= Hands-on: Use Pandas and NumPy for Data Preprocessing
    Session
  • Topic 7 M7T7= Regression and Classification Algorithms
    Session
  • Topic 8 M7T8= Deep Learning in Drug Discovery
    Session
  • Topic 9 M7T9= Hands-on: Implement Machine Learning Models using scikit-learn
    Session
  • Topic 10 M7T10= Hands-on: Implement Machine Learning Models using TensorFlow/Keras
    Session
  • Topic 11 M7T11= Predicting Drug-Target Interactions
    Session
  • Topic 12 M7T12= QSAR Modeling
    Session
  • Topic 13 M7T13= Hands-on: Apply Machine Learning to Real Datasets with RDKit
    Session
  • Topic 14 M7T14= Hands-on: Apply Machine Learning to Real Datasets with Cheminformatics
    Session
  • Topic 15 M7T15= Structure-Activity Relationship (SAR) Analysis
    Session
  • Topic 16 M7T16= Hands-on: Use RDKit for SAR Analysis
    Session
  • Topic 17 M7T17= De Novo Drug Design using ML
    Session
  • Topic 18 M7T18= Explore De Novo Design Tools
    Session
  • Topic 19 M7T19= Advanced Machine Learning Techniques in Drug Design
    Session
  • Topic 20 M7T20= Integration of Omics Data in Drug Discovery
    Session
  • Topic 21 M7T21= Clinical Trial Design and Data Analysis
    Session
  • Topic 22 M7T22= Ethical Considerations in Drug Design and Machine Learning
    Session
  • Topic 23 M7T23= Real-World Applications
    Session
  • Topic 24 M7T24= Q&A and discussion
    Session
  • Topic 25 M7T25= Conclusion
    Session

Enroll Now

Start your internship journey today

₹100000.00

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Internship Details

  • Duration Flexible
  • Level All Levels
  • Language English
  • Provider DROMICS
  • Certificate Yes

Skills You'll Gain

Drafting Modeling Visualization Automation Analytical Precision Collaboration Prompting Optimization Rendering

Prerequisites

Fundamental understanding of Engineering Graphics or Technical Drawing.
Basic Computer Literacy (Windows/macOS navigation).
A background in STEM (Science, Technology, Engineering, Math) is preferred.
No prior coding knowledge is required, though a "logical mindset" is a plus.

Ideal For

Engineering Students (Mechanical, Civil, Automobile, Aeronautical).
Architects and Interior Designers seeking to upgrade to BIM & AI.
Diploma Holders looking for hands-on industrial experience.
Working Professionals transitioning into Automated Design roles.

Certification

Available

Issued by DROMICS
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