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AI Development Training

AI Development Training Course Content

  1. Introduction to AI Development

  2. Mathematics for AI

  3. Programming for AI

  4. Machine Learning Fundamentals

  5. Advanced Machine Learning

  6. Deep Learning Fundamentals

  7. Convolutional Neural Networks (CNNs)

  8. Recurrent Neural Networks (RNNs)

  9. Natural Language Processing (NLP)

  10. Generative Adversarial Networks (GANs)

  11. Reinforcement Learning

  12. AI Ethics and Fairness

  13. AI Tools and Frameworks

  14. Model Deployment and Production

  15. AI in Practice

  16. Capstone Project

  17. Career Development

Training Course Content

Introduction to AI Development

  • Overview of Artificial Intelligence

  • History and evolution of AI

  • AI vs Machine Learning vs Deep Learning

  • Applications of AI in various industries

Generative Adversarial Networks (GANs)

   - GAN architecture (generator and discriminator)

   - Training GANs and challenges

   - Applications in image generation and data augmentation

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