AI Engineering Roadmap for Beginners

Jump into AI engineering with a clear, step-by-step plan: start by nailing the core foundations (math, Python, data handling), get comfy with basic tools (like Jupyter and Git), and then level up by learning practical frameworks (TensorFlow, PyTorch, LangChain). The video breaks down how to learn by doing—building real projects to cement skills and get you job-ready.

Once you’ve got the basics down, explore more advanced LLM techniques (prompt engineering, fine-tuning) and dive into LLM ops (deployment, monitoring). Plus, there are bonus resources: DataCamp’s AI engineer track & certification for structured learning, and DevLaunch’s mentorship for hands-on support and real accountability.

Watch on YouTube