Generative AI Batch Roadmap

Join our Generative AI Batch and master the fundamentals of Generative Models, Transformers, and their applications. Build real-world projects and kickstart your AI career.

1. Introduction to Generative AI

  • What is Generative AI?
  • Applications of Generative AI
  • Key Concepts: Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs)

2. Transformers and Attention Mechanism

  • Introduction to Transformers
  • Attention Mechanism
  • Transformer Architecture (BERT, GPT)

3. Pre-trained Models and Fine-Tuning

  • Introduction to Hugging Face
  • Fine-tuning GPT Models
  • Domain-Specific Fine-Tuning

4. Applications of Generative AI

1. Text Generation

  • Language Models for Text Generation
  • Creative Writing with AI

2. Conversational AI

  • Building Chatbots
  • Question-Answering Systems

3. Image Generation

  • GANs for Image Synthesis
  • Style Transfer and Image Editing

5. Advanced Topics in Generative AI

  • Multimodal Models (Text + Image)
  • Reinforcement Learning for Generative Models
  • Ethical Considerations in Generative AI

6. Tools and Frameworks

  • Hugging Face Transformers
  • LangChain for Building AI Applications
  • OpenAI API

7. Build Projects

1. Beginner Projects

  • Text Generation with GPT
  • Image Synthesis with GANs

2. Intermediate Projects

  • AI-Powered Chatbot
  • Creative Writing Assistant

3. Advanced Projects

  • Multimodal AI Application (Text + Image)
  • Domain-Specific Fine-Tuning for Industry Use Cases

8. Deployment and Scaling

  • Deploying Generative AI Models with Flask/FastAPI
  • Scaling with Cloud Platforms (AWS, GCP, Azure)
  • Monitoring and Maintenance

9. Build a Portfolio

  • Upload your projects on GitHub
  • Create a LinkedIn profile showcasing your skills and projects
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