To become a Generative AI Engineer in 2025, start by building a strong foundation in Python and mathematics, including linear algebra, calculus, and probability & statistics.
Next, learn about machine learning and deep learning, covering topics such as supervised vs. unsupervised learning, neural networks, and using tools like PyTorch.
Dive into Generative AI by understanding models like Transformers, GANs, and VAEs, and explore tools like Hugging Face Transformers and Papers with Code.
Master LLMs and Prompt Engineering, then move on to learning Agentic AI and tool use with frameworks like LangChain and OpenAgents to build AI agents that can perform tasks.