As artificial intelligence continues to shape the future of work and technology, AI Engineering is becoming one of the most in-demand fields. This video offers a complete breakdown of what AI Engineering truly means and how it goes beyond just training models, focusing instead on building scalable, reliable applications with foundation models at the core.
The video walks through the essential components of AI Engineering, using clear explanations supported by insights from the AI Engineering book by O'Reilly. It is suitable for both beginners and professionals who want a structured understanding of how modern AI systems are built and deployed in real-world environments.
Key topics covered include:
- What AI Engineering is and why it matters
- Understanding Foundation Models and how they work
- How to evaluate and select AI models effectively
- Prompt Engineering and its real-world applications
- Retrieval-Augmented Generation (RAG) and context construction
- Agents, memory systems, and dynamic AI behaviours
- Fine-tuning and dataset engineering practices
- Inference optimization and system efficiency
- Designing with architecture and user feedback in mind
