The Rise of the AI Engineer

Overview

Explore the emerging role of AI Engineers as applied AI shifts, creating new opportunities in Software 3.0. Learn about Foundation Models and their impact on software development.

Syllabus

• Introduction to AI Engineering
Overview of the AI Engineer role
The evolution from traditional software engineering to AI engineering
• Understanding Software 3.0
Definition and characteristics of Software 3.0
Differences between Software 2.0 and Software 3.0
• Foundation Models in AI
Definition and examples of Foundation Models
Role of Foundation Models in modern AI applications
• Practical Applications of AI in Software Development
Integrating AI into existing software systems
Case studies of AI-driven software solutions
• Tools and Frameworks for AI Engineers
Overview of popular AI development tools
Best practices for selecting and using AI frameworks
• Ethical and Societal Impacts of AI
Understanding AI ethics and responsible AI development
Addressing biases in AI models and systems
• Skills and Competencies for AI Engineers
Key technical skills: machine learning, data engineering, etc.
Importance of domain knowledge and interdisciplinary skills
• Future Trends and Opportunities in AI Engineering
Emerging trends in AI technology and their implications
Career opportunities and growth areas for AI Engineers
• Capstone Project
Designing and developing a small-scale AI application
Applying concepts learned throughout the course

Subjects

Conference Talks