Machine Learning

This comprehensive 12-month Machine Learning program is designed to transform complete beginners into industry-ready ML engineers. The curriculum covers the entire ML lifecycle, from foundational mathematics and programming to advanced model deployment and MLOps practices. Students will work through 12 hands-on capstone projects that mirror real-world industry challenges, building a portfolio that demonstrates practical expertise in Python, data processing, algorithm implementation, cloud deployment, and automated ML workflows. The program emphasizes practical, job-ready skills aligned with current market demands, including modern tools like Docker, Kubernetes, CI/CD pipelines, and cloud platforms (AWS, Azure, GCP). Students learn to design scalable ML systems, implement monitoring and maintenance protocols, and communicate technical insights to business stakeholders. The curriculum stays current with 2025 ML trends including large language models, AutoML, and ethical AI practices. Upon completion, graduates will possess the technical expertise and portfolio necessary to secure ML engineering positions with competitive salaries ranging from $155,000 to $220,000+, backed by strong job market growth projections of 40% over the next five years.