About this certification
The Certification: Generative AI Foundations for Non-Technical Professionals provides a comprehensive introduction to generative AI concepts and their real-world applications. Participants will gain valuable skills such as improved decision-making, increased productivity, and adaptability in a rapidly evolving workplace. Enroll today to build a strong foundation in generative AI and enhance your professional growth.
This certification covers the following topics:
- The Evolution from Analytical to Generative AI
- The Power of Large Models and Transformer Architecture
- Current State of Generative AI Modalities
- The Generative AI Landscape and Application Layers
- The Rise of Open Models and Decentralized AI
- Technical Underpinnings and Inference
- Levels of LLM Applications
- What exactly is generative AI and how does it differ from traditional AI?
- What key technological advancements have enabled the rise of modern generative AI?
- What are some practical applications of large language models (LLMs)?
- What are the current strengths and limitations of generative AI models across different modalities (text, code, image, video, audio)?
- What are some of the key challenges and concerns associated with generative AI?
- What is the significance of "decentralized AI" in the context of generative AI?
- What is multimodality in AI, and why is it important?
- What is the Transformer architecture, and why is it important for generative AI?
- What is hallucination in LLMs, and why is it a challenge?
- What is Retrieval Augmented Generation (RAG), and how does it enhance LLMs?
- What is function calling in LLMs, and why is it significant?
- What are AI agents, and what functionalities do they offer?
