Generative AI Applications
Intermediate Level
Implement practical generative AI solutions across various domains
Course Overview
- •Understanding generative AI architectures and capabilities
- •Building text generation solutions for business applications
- •Designing and implementing image generation applications
- •Creating multi-modal generative AI systems
- •Responsible development and ethical considerations
- •Deployment and scaling of generative AI solutions
Course Modules
Foundations of Generative AI
1 weekTopics Covered
- Evolution of generative models: from GANs to diffusion
- Text generation architecture fundamentals
- Image and audio generation approaches
- Generative model evaluation frameworks
- Business applications landscape
Assignments
- Generative model architecture analysis
- Application domain selection and planning
Instructor
Nim Hewage
Co-founder & AI Strategy Consultant
Over 13 years of experience implementing AI solutions across Global Fortune 500 companies and startups. Specializes in enterprise-scale AI transformation, MLOps architecture, and AI governance frameworks.
Prerequisites
- Intermediate understanding of machine learning concepts
- Basic experience with neural networks
- Python programming proficiency
- Familiarity with deep learning frameworks (PyTorch or TensorFlow)
- Basic understanding of NLP and computer vision concepts
What You'll Learn
- Design and implement practical generative AI applications
- Build text generation systems with factual accuracy and safety
- Develop image generation and manipulation applications
- Create multi-modal generative systems combining text, images, and audio
- Implement responsible AI practices in generative applications
- Deploy and scale generative AI solutions in production environments
Certification
Generative AI Applications Certification
Upon successful completion of the course and all assignments, participants will receive a verified certificate in Generative AI Applications.
Complete all module assignments and the final capstone project with a score of 75% or higher.
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