Generative AI Course in Rawalpindi/Islamabad

This Generative AI course is designed to equip you with the skills to effectively design, manage, and optimize AI models. Learn about AI architecture, deep learning techniques, and generative algorithms to excel in the field of generative AI.

Course Outline

Introduction to Generative AI

• What is Generative AI?
• Applications of Generative AI (Art, Text, Music, etc.)
• Overview of Neural Networks
• Ethics and Challenges in Generative AI

Deep Learning Techniques

• Introduction to Deep Learning
• Training Deep Neural Networks
• Activation Functions and Optimization
• Building and Fine-tuning AI Models

Generative Algorithms

• Generative Adversarial Networks (GANs)
• Variational Autoencoders (VAEs)
• Reinforcement Learning for Generation
• Creative Applications of Generative AI

AI Model Deployment and Scaling

• Model Deployment Strategies
• Scaling AI Models for Real-World Use
• Optimizing AI Performance
• Integrating AI Models into Applications

Ethics and Challenges in AI

• Understanding AI Bias
• Data Privacy and Security in AI
• AI Accountability and Regulation
• Future of Generative AI

Big Data and Advanced AI Topics

• Working with Big Data for AI Models
• AI in Cloud and Edge Computing
• Advanced Reinforcement Learning
• Analytics and Visualization for AI Models

Final Project and Certification

• Designing a Generative AI Model
• Optimizing and Testing AI Models
• Presenting the Final Project to a Panel

Note: After the completion of the course, students will be rewarded with a certificate.