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Starts 4 July 2025 17:25

Ends 4 July 2025

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Harnessing the Power of Generative AI for Intelligent Applications

Join us in exploring the fascinating world of generative AI, where you'll trace its evolution from historical beginnings to its modern-day role in creating intelligent applications. Delve into the practical side of AI by learning about building sophisticated chatbots and uncovering the various tech stacks that support these innovations. Stay ah.
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Overview

Join us in exploring the fascinating world of generative AI, where you'll trace its evolution from historical beginnings to its modern-day role in creating intelligent applications. Delve into the practical side of AI by learning about building sophisticated chatbots and uncovering the various tech stacks that support these innovations.

Stay ahead of the curve by gaining insights into the latest trends shaping the future of AI.

Available on YouTube, this comprehensive session is perfect for anyone interested in artificial intelligence and computer science, providing a wealth of knowledge for both novices and seasoned professionals alike. Expand your understanding and harness the transformative potential of generative AI today.

Syllabus

  • Introduction to Generative AI
  • Overview of AI and Machine Learning
    Definition and Scope of Generative AI
    Historical Foundations and Key Milestones
  • Core Technologies in Generative AI
  • Neural Networks and Deep Learning
    GANs (Generative Adversarial Networks)
    Transformers and Large Language Models
    Diffusion Models
  • Generative AI Techniques
  • Text Generation
    Image and Video Synthesis
    Music and Audio Generation
    Code Generation
  • Building Intelligent Chatbots
  • Natural Language Processing Essentials
    Designing Conversational Interfaces
    Integrating Language Models into Chatbots
    Case Studies and Real-World Implementations
  • Tech Stacks for Developing Generative AI Applications
  • Popular Frameworks and Libraries (TensorFlow, PyTorch)
    Cloud Platforms and Services (AWS, Google Cloud, Microsoft Azure)
    Tools for Deployment and Scaling
  • Practical Applications of Generative AI
  • Creative Content Creation
    Data Augmentation and Enhancement
    Personalization and Recommendation Systems
    Automated Programming and Code Assistance
  • Ethical Considerations and Challenges
  • Bias and Fairness in AI
    Intellectual Property and Content Ownership
    Privacy and Security Concerns
    Mitigating Unintended Consequences
  • Future Trends in Generative AI
  • Emerging Research Directions
    Potential Impacts on Various Industries
    The Role of Generative AI in Digital Transformation
  • Course Project
  • Proposal and Planning
    Implementation and Testing
    Presentation and Evaluation

Subjects

Computer Science