AI engineering in 2026 looks very different from what it did even a few years ago.
Hiring teams now expect more than basic machine learning knowledge. They seek professionals who understand data foundations, model development, generative AI systems, and the deployment and maintenance of AI solutions in practice.
In this live session, How to Become an AI Engineer in 2026: Your Complete Roadmap, you’ll get a structured view of what the AI Engineer role involves today and how professionals are building careers in this space.
You’ll explore:
What AI Engineers actually do in 2026
The end-to-end skill roadmap, from foundations to GenAI
Differences between AI Engineer, ML Engineer, and Data Scientist roles
How portfolios and projects influence hiring decisions
How structured programs help professionals transition into AI roles