Data Science & AI Bootcamp Syllabus 2026: Python, MLOps, and AI Agents
Updated on December 10, 2025 10 minutes read
Frequently Asked Questions
What is included in a Data Science & AI bootcamp syllabus in 2026?
A 2026 syllabus usually includes Python programming, statistics, SQL, data pipelines, machine learning, deep learning, MLOps and AI agents. It should also feature several hands‑on projects, at least one capstone and some form of mentoring or career support.
Do I need to know Python before starting a Data Science & AI bootcamp?
Most bootcamps start with beginner‑friendly Python modules, so prior experience is helpful but not essential. What matters more is your willingness to practise regularly and get comfortable with problem‑solving through code.
Why is MLOps part of the bootcamp syllabus now?
MLOps bridges the gap between experiments in a notebook and models running in production systems. Employers value candidates who understand basic deployment, monitoring, and lifecycle management, so MLOps skills make you more competitive.
Will I learn about AI agents in a 2026 bootcamp?
Many modern programs now include at least an introduction to AI agents. You can expect to learn how agents use language models, tools, and APIs to perform tasks and how to evaluate their reliability and safety.