The rise of AI is also creating new roles such as prompt engineers, who focus on natural language inputs for AI tools and understand how AI can fit into different department workflows. The blending of low-code and no-code solutions is enabling non-technical workers to build AI models, freeing engineers to tackle more complex challenges. Coding bootcamps are evolving to meet these changes, with AI-specific courses teaching concepts in data science, deep learning, and natural language processing.
Key takeaways:
- Artificial intelligence (AI) is expected to significantly impact the engineering field, necessitating a shift in focus from traditional coding and programming skills to deep data and domain knowledge, as well as soft skills.
- Employers are likely to prioritize advanced degrees in fields like mathematics, statistics, and data science, as well as strong problem-solving skills, analytical thinking, and adaptability over programming skills.
- Prompt engineering, a subset of engineering that focuses on the natural language inputs for AI tools, is emerging as a crucial role in AI-driven organizations.
- Coding bootcamps are expected to evolve to meet the changing demands of the industry, with AI-specific bootcamps and certification courses already coming to market to equip students with knowledge in data science, statistics, deep learning, and natural language processing.