Overview
The Machine Learning Engineering & AI Bootcamp is a comprehensive 9-month program designed to equip students with in-demand skills to meet the growing need for AI talent in today's job market. The curriculum begins with foundational Python programming and statistics before advancing to core topics including machine learning models, deep learning, data engineering, large-scale deployment, and AI ethics. Throughout the program, students complete 11 total projects (including 10 mini-projects and 1 guided capstone project in two phases) that provide hands-on experience with essential tools like Scikit-Learn, TensorFlow, AWS, Docker, and Kubernetes. The bootcamp requires 15-20 hours per week and is designed for those with existing proficiency in object-oriented programming.
A key strength of the bootcamp is its personalized support system, which includes 1-on-1 mentorship from industry professionals who provide regular feedback, answer questions, and offer insider perspectives to keep students accountable. Additionally, the program offers career coaching that guides students through developing their job search strategy, crafting standout resumes and LinkedIn profiles, networking effectively, preparing for technical and non-technical interviews, and negotiating salaries. By the end of the program, graduates receive a certificate of completion and possess the comprehensive skill set needed to succeed in machine learning engineer roles.
