Generative for AI for Engineers

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Duration

2 months

Hours per week

6 Hours

Class schedule

3 Sessions Per Week

Why This Workshop Matters

Topics covered by this course

  • What is Generative AI? History and Evolution
  • Large Language Models (LLMs): GPT, Claude, Gemini
  • Diffusion Models, GANs, VAEs: Image and Media Generation
  • Prompt Engineering: Concepts and Techniques
  • Natural Language Processing (NLP) Basics
  • Ethics, Bias, and Safety in Generative AI

Generative AI Tools for Engineering Professionals

How engineers can apply AI to enhance their domain-specific workflows.

  • Generative AI for Civil Engineering
  • Mechanical Engineering
  • Electronics & Electrical Engineering
  • Computer Science & IT
  • Electronics & Communication Engineering (ECE)
  • Chemical Engineering
  • Biomedical Engineering
  • AI & ML Engineering
  • Data Science & Data Analytics
  • Ideation using GenAI brainstorming agents
  • Build a cross-disciplinary GenAI solution
  • Domain-specific GenAI project
  • Demo Day: Pitching and Presenting GenAI innovations
  • Industry Case Studies from Each Domain
  • Ethics and Responsible GenAI Development
  • Regulatory and Compliance Considerations

Get to know us

Our Mission is to bridge the gap between education and industry by offering hands-on workshop, real-world projects, and mentorship from AI Experts.

About Us