GenAI Zero to One
- Created By ebrahim khaja
- Posted on July 2nd, 2024
- Overview
- Prerequisites
- Audience
- Audience
- Curriculum
Description:
Generative AI (GenAI) is a field of artificial intelligence that focuses on creating models capable of generating new content, such as text, images, and more. This course covers the introduction to foundation models, their applications in vision and text-based use cases, and the integration of large language models (LLMs) with vector databases. Participants will delve into practical use cases across different domains, including AI-driven filmmaking, marketing tools, and recipe recommendations.
Duration: Half Day
Course Code: BDT354
Learning Objectives:
- Introduction to foundation models
- Explore vision models and applied use cases
- Learn about AI filmmaking and marketing tools
- Understand foundational text models for marketing use cases
- Learn about LLMs for chatbots
- Explore LLM + VectorDB use cases
- Explore GenAI use cases across various domains
- Familiarity with fundamental concepts in AI and machine learning
- Programming Skills
This course is suitable for:
- Data Scientists and Machine Learning Engineers
- Software Developers
- Product Managers
- Creative Professionals
- Tech Enthusiasts
- Students
This course is suitable for:
- Data Scientists and Machine Learning Engineers
- Software Developers
- Product Managers
- Creative Professionals
- Tech Enthusiasts
- Students
Course Outline:
- Introduction to Generative AI and Foundation Models
- Applications in Vision (e.g., GANs, image generation)
- Applications in Text (e.g., NLP, text generation)
- Integration with Vector Databases
- Practical Use Cases:
- AI-Driven Filmmaking
- Marketing Tools
- Recipe Recommendations
- Ethical Considerations and Future Trends
The curriculum is empty
