Machine Learning Engineering Bootcamp

In this 6-month part-time bootcamp, students will get fully immersed in learning the cutting-edge machine learning and deep learning techniques as well as end-to-end machine learning operations. In this advanced program, learners will learn deep learning techniques, use cases in computer vision and NLP, and the engineering and operations side which allows them to appreciate the entire lifecycle of ML projects from data preparation to model deployment and monitoring.

The program has two semesters:

• Semester 1: Deep Learning (theory, frameworks, computer vision, NLP)
• Semester 2: Use Cases (Recommender systems, Time series), MLOps (model packaging, deployment, CI/CD, monitoring, GPU tuning, edge deployment)

What You’ll Learn

• Gain in-depth knowledge of neural networks and deep learning techniques.
• Master industry-leading DL tools and platforms.
• Learn cutting-edge computer vision techniques and apply them to real projects.
• Build and deployment reinforcement learning models.
• Apply deep learning based NLP techniques to solve real challenges.
• Build an AI portfolio under the guidance of our AI mentors.
• Manage the data engineering aspects of Machine Learning
• Learn how to containerize AI applications using Docker and Kubernetes on AWS/Azure.
• Learn ML Model Deployment Cycle and MLOps.

WeCloud Data’s Machine Learning Engineering Bootcamp is offered self-paced online or instructor-led live online. This instructor-led part-time program gives students the opportunity to learn from the industry’s best and practice what they learn through hands-on projects. With the self-paced option, it allows learners to delve into the world of data without the pressure of deadlines.