Northeastern University Courses

Software Quality Control and Management Part 1

Discover software quality assurance fundamentals, testing methodologies, and automation tools like UFT and Selenium to build reliable software products.

• Coursera
• 20 hours 23 minutes
• Self-Paced
• Paid Course

Software Quality Control and Management Part 2

Explore advanced QA methodologies, master Selenium automation, and develop leadership skills while diving into cloud testing, AI integration, and career opportunities in software quality assurance.

• Coursera
• 12 hours 40 minutes
• Self-Paced
• Paid Course

Statistical Learning for Engineering Part 2

Explore advanced machine learning algorithms including neural networks, clustering, dimensionality reduction, and reinforcement learning with hands-on Python implementation.

• Coursera
• 1 day 46 minutes
• Self-Paced
• Paid Course

Web Design and User Experience Engineering Part 2

Dive into advanced web UI/UX development with JavaScript, React, accessibility, and deployment strategies for building professional web applications.

• Coursera
• 19 hours 19 minutes
• Self-Paced
• Paid Course

Web Design and User Experience Engineering Part 1

Discover HTML, CSS, and JavaScript fundamentals to build accessible, responsive web interfaces with semantic markup, modern layouts, animations, and interactive features.

• Coursera
• 2 days 2 hours 36 minutes
• Self-Paced
• Paid Course

Web Design and User Experience Engineering: Assessment

Demonstrate your Web Design and UX Engineering knowledge through a proctored assessment, submit completion certificates, and learn how to enroll at Northeastern University via Performance Based Admission.

• Coursera
• 27 minutes
• Self-Paced
• Paid Course

User Experience Design and Testing Part 2

Master advanced UX design through prototyping, design thinking, and user testing with hands-on experience in Figma, Framer, and industry-standard methodologies.

• Coursera
• 11 hours 26 minutes
• Self-Paced
• Paid Course

User Experience Design and Testing Part 1

Discover UX design fundamentals, user research methods, wireframing with Balsamiq and Moqups, and advanced techniques like persona creation and SWOT analysis for creating user-centered digital experiences.

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

Generative AI Part 1

Explore the theoretical foundations of generative AI, covering neural networks, transformers, LLMs, optimization, and real-world applications across various fields.

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

Generative AI Part 2

Explore advanced generative AI concepts including transformers, VAEs, GANs, diffusion models, and normalizing flows, with emphasis on mathematical foundations and real-world applications.

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

Introduction to Software Development and Applications

Aprenda técnicas de engenharia de software e desenvolvimento de aplicações para modelar soluções de negócios complexas de forma rápida e eficiente, usando programação orientada a objetos e pensamento sistêmico.

• Coursera
• 14 hours 26 minutes
• Self-Paced
• Paid Course

Introduction to Service Innovation and Management

Explore service innovation management in healthcare, focusing on process improvement, organizational culture, and data-driven decision-making to enhance customer experience and operational efficiency.

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

Introduction to Machine Learning and Algorithmic Bias

Explore AI and machine learning fundamentals while mastering algorithmic bias detection and mitigation strategies for responsible business applications.

• Coursera
• 6 hours 48 minutes
• Self-Paced
• Paid Course

Fundamentals of Integrated Brand Promotion

Explore integrated brand promotion strategies, branding fundamentals, positioning tactics, and data-driven approaches to connect with audiences in today's digital marketing landscape.

• Coursera
• 13 hours 2 minutes
• Self-Paced
• Paid Course

Generative AI: Foundations and Concepts

Explore the mathematical foundations of generative AI, from neural networks to advanced deep learning models, with practical implementation techniques and applications in engineering.

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