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This introductory course provides a foundational understanding of Artificial Intelligence (AI) and Data Science. Students will learn key concepts, techniques, and tools for data analysis, machine learning, and AI applications. Through practical exercises and real-world examples, students will gain the skills needed to start a career in these rapidly evolving fields.

• Build Machine learning models with scikit-learn, build & train supervised models for prediction & binary classification tasks (linear, logistic regression)
• Build & train a neural network with TensorFlow to perform multi-class classification.
• Build an unsupervised learning model for clustering & anomaly detection.
• Build recommender systems with a collaborative filtering approach & a content-based deep learning method.
• Understand how to clean and organize data for analysis, and complete analysis and calculations using python & R.
• Learn key analytical skills (data cleaning, analysis, & visualization)
• Learn how to visualize and present data findings in dashboards.

Advance your career in the high-demand field of DevOps. Build on your software development skills with the latest DevOps concepts, tools, and technologies, and prepare for a career as a DevOps or Software Engineer. Gain the in-demand skills and hands-on experience to get job-ready in less than 4 months.

Prerequisites:
Learners should have a foundational understanding of Python programming and relational databases (e.g. SQL) before starting this course.

What You’ll Learn:

• Master the practical skills and knowledge used by Software Engineers and DevOps professionals in real-world environments

• Create applications using Python, build and integrate REST APIs and microservices

• Deploy and manage applications using containers such as Docker, Kubernetes, and OpenShift

• Gain hands-on experience through interactive labs and real projects

• Work with Agile and Scrum methodologies to manage and deliver software efficiently

• Build a portfolio of DevOps projects to demonstrate your skills to employers

No prior DevOps experience is required—just basic Python and database knowledge, and a drive to learn!