Northeastern University Courses

Planning and Managing Information Systems Development Part 1

Explore information systems development planning, covering needs assessment, strategic prioritization, cost/benefit analysis, and IT project management including scope, scheduling, cost, and quality control.

• Coursera
• 15 hours 38 minutes
• Self-Paced
• Paid Course

Planning and Managing Information Systems Development Part 2

Explore information systems development planning, covering resource management, risk analysis, procurement, stakeholder engagement, and enterprise architecture to align IT strategy with business goals.

• Coursera
• 16 hours 53 minutes
• Self-Paced
• Paid Course

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

• Coursera
• Self-Paced
• Paid Course

Deep Learning for AI Part 1

Master the foundations of deep learning—from neural networks and CNNs to RNNs, VAEs, GANs, and Transformers—with hands-on TensorFlow/Keras and PyTorch implementation.

• Coursera
• 7 weeks, 3 hours a week
• Self-Paced
• Paid Course

Deep Learning for AI Part 2

Explore advanced generative AI, covering diffusion models, autoregressive models, normalizing flows, and multimodal systems like DALL-E and Stable Diffusion, with ethical implications examined.

• Coursera
• 7 weeks, 3 hours a week
• 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

Systems and Cybersecurity Fundamentals Part 1

Discover cybersecurity fundamentals including CIA Triad, risk management, security policies, data protection, cryptography, and network protocols through real-world breach analysis.

• Coursera
• 10 hours 43 minutes
• Self-Paced
• Paid Course

Systems and Cybersecurity Fundamentals Part 2

Explore advanced cybersecurity skills in network security, identity management, threat detection, and secure development practices for security professionals.

• Coursera
• 13 hours 14 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

Machine Learning with Small Data Part 2

Master advanced ML techniques for limited datasets: multi-task learning, meta-learning, NeRF, diffusion models, and 3D Gaussian Splatting for real-world data constraints.

• Coursera
• 11 hours 34 minutes
• Self-Paced
• Paid Course

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

Responsible and Ethical AI

Explore ethical AI challenges, bias mitigation, transparency frameworks, and regulatory compliance to build trustworthy, responsible artificial intelligence systems.

• Coursera
• 18 hours 43 minutes
• Self-Paced
• Paid Course

Economic Decision Making Part 1

Explore economic modeling techniques for engineering decisions, covering time value of money, investment analysis, risk assessment, and decision-making under uncertainty through case studies.

• Coursera
• 18 hours 35 minutes
• Self-Paced
• Paid Course

Economic Decision Making Part 2

Explore advanced economic analysis techniques including depreciation, after-tax analysis, inflation, risk assessment, and decision trees for engineering investment decisions.

• Coursera
• 12 hours 30 minutes
• Self-Paced
• Paid Course