

Virtual Work-Experience Program
Experience what it's like to work at the forefront of cloud computing and AI

Cohort II
Dates
Jun 20, 2026 - Jul 26, 2026
SKILLS LEARNED
Discover Your Toolkit
Key topics and competencies students will acquire and develop during their learning journey.
Machine Learning Algorithms
You will delve into the foundations of machine learning theory as they explore algorithms, models, and methodologies. Working with ML engineers to grasp the concepts that drive machine learning, from supervised to unsupervised learning. You will gain a solid theoretical grounding, setting the stage for practical implementation and innovation.
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Mathematical Foundations of Machine Learning Algorithms
You will delve deeper into the mathematical underpinnings of machine learning algorithms, delving into statistics, linear algebra, and optimization. Collaborate with experts to understand how algorithms are rooted in mathematical concepts. You will develop proficiency in translating mathematical principles into actionable insights, ready to implement in real-world projects.
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Building Practical Machine Learning Models
You will elevate your skills by building machine learning models using Python. Working in teams on projects that span data collection, preprocessing, feature engineering, and model development. You will gain hands-on experience in coding and applying machine learning algorithms to real-world data, fostering a practical foundation for future projects. You will be building ML models using Python, programmatic techniques to evaluate, improve, analyze and interpret their machine learning models as well as their real-world data.
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