Biomedical Engineering Courses

DeepLearning.AI;  Amazon Web Services

Introduction to Data Engineering

496 ratings at Coursera

Explore the data engineering lifecycle, from data generation to serving, and build an end-to-end system. Gain practical skills in gathering requirements, choosing tools, and applying data architecture principles.

• Coursera
• 17 hours 36 minutes
• Self-Paced
• Paid Course

Career Certificate

Microsoft AI & ML Engineering

383 ratings at Coursera

Master AI & ML engineering through hands-on practice with Azure cloud services, from infrastructure design to intelligent agent development, culminating in real-world applications and ethical considerations.

• Coursera
• 24 weeks, 7 hours/week
• Self-Paced
• Paid Course
• 5 courses

Applied Natural Language Processing in Engineering Part 1

Discover NLP fundamentals from text classification to neural networks, optimization techniques, word embeddings, and parsing methods for engineering applications.

• Coursera
• 1 day 3 hours 45 minutes
• Self-Paced
• Paid Course

Applied Natural Language Processing in Engineering Part 2

Master advanced NLP techniques including RNNs, transformers, sentiment analysis, and neural machine translation through hands-on implementation with PyTorch and Hugging Face frameworks.

• Coursera
• 1 day 9 hours 37 minutes
• Self-Paced
• Paid Course

Engineering Probability and Statistics Part 1

Discover foundational statistics and probability concepts including variables, distributions, and data analysis techniques for engineering applications.

• Coursera
• 22 hours 22 minutes
• Self-Paced
• Paid Course

NLP in Engineering: Concepts & Real-World Applications

Master practical NLP techniques and their engineering applications through word embeddings, neural networks, and deep learning models. Implement advanced methods for real-world problem-solving in natural language processing.

• Coursera
• 13 hours 28 minutes
• Self-Paced
• Paid Course

Application Engineering and Development Part 1

Master Java programming fundamentals and object-oriented design principles through hands-on GUI development, inheritance, polymorphism, and real-world university system modeling.

• Coursera
• 1 day 4 hours 36 minutes
• Self-Paced
• Paid Course

Engineering Probability and Statistics Part 2

Explore statistical inference through hypothesis testing, confidence intervals, ANOVA, and sampling distributions to solve engineering problems with data-driven insights.

• Coursera
• 1 day 42 minutes
• Self-Paced
• Paid Course

Application Engineering and Development Part 2

Master object-oriented Java programming with advanced pricing models, ecosystem design, recursive methods, AI integration, and user interface development for real-world applications.

• Coursera
• 9 hours 29 minutes
• Self-Paced
• Paid Course

Practical Engineering Data Mining: Techniques and Uses

Master data mining fundamentals and techniques through hands-on engineering applications, from preprocessing to clustering, while implementing real-world case studies across manufacturing, healthcare, and business sectors.

• Coursera
• 11 hours 7 minutes
• Self-Paced
• Paid Course

Engineering Project Management Part 1

Explore project management fundamentals covering planning, budgeting, risk management, and team leadership through systems development lifecycle framework with practical tools.

• Coursera
• 11 hours 51 minutes
• Self-Paced
• Paid Course

Engineering Project Management Part 2

Master advanced project management techniques including network scheduling, resource planning, earned value management, and project control mechanisms for successful engineering projects.

• Coursera
• 13 hours 56 minutes
• Self-Paced
• Paid Course

Business Process Engineering Part 1

Explore business process engineering fundamentals, covering process mapping, stakeholder analysis, design thinking, and agile techniques to optimize workflows and drive continuous improvement in digital-age organizations.

• Coursera
• 16 hours
• Self-Paced
• Paid Course

Business Process Engineering Part 2

Master business process engineering with agile techniques, data visualization, and lean methodologies to optimize workflows, drive continuous improvement, and integrate complex information systems into core operations.

• Coursera
• 16 hours
• Self-Paced
• Paid Course

Career Certificate

Data Analytics Engineering Graduate Certificate

Advance Your Career with Northeastern’s Top-Ranked College of Engineering Graduate Certificate in Data Analytics Engineering.

• Coursera
• Self-Paced
• Paid Course