Northeastern University Courses

Practical AI for Professionals

Explore AI fundamentals, tools, and business applications. Analyze data, develop predictive models, and understand societal impacts. Gain skills to navigate the evolving AI landscape confidently.

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

Foundations of Statistical Learning & Algorithms

Master fundamental mathematical concepts for machine learning through linear algebra, probability theory, and optimization techniques, focusing on practical applications and model evaluation methods.

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

Strategic Info Systems: Planning & Business Alignment

Master IT project management fundamentals, from strategic planning and Agile methodologies to scope management and business alignment. Create effective project charters and management plans for successful systems development.

• Coursera
• 16 hours 24 minutes
• Self-Paced
• Paid Course

Aligning Business Strategy for AI Integration

Gain insights into integrating AI with business strategy, from value chain analysis to SWOT frameworks, while mastering machine learning applications for competitive advantage.

• Coursera
• 9 hours 5 minutes
• Self-Paced
• Paid Course

Foundations in Human-Centered AI

Explore the principles of designing AI systems that enhance human capabilities rather than replace them, covering historical context, key concepts, and human-centric development approaches.

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

Database to AI: Practical Data Analytics Integration

Gain insights into database management fundamentals, data modeling, and emerging technologies. Explore relational and NoSQL databases, SQL, big data, and their applications in data analytics and AI.

• Coursera
• 8 hours 58 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

AI Innovation in Healthcare

Explore AI's transformative role in healthcare, from data-driven diagnostics to ethical challenges, gaining practical insights into traditional, predictive, and generative AI applications for improved patient care.

• Coursera
• 14 hours 30 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

Business Strategy and Value Creation In Action

Master competitive and corporate strategy fundamentals using Porter's Five Forces, PESTEL analysis, and value creation frameworks to drive business growth and competitive advantage.

• Coursera
• 8 hours 50 minutes
• Self-Paced
• Paid Course

Machine Learning with Small Data Part 1

Discover modern deep learning techniques for training effective models with limited datasets, addressing challenges in healthcare, military, and industry applications.

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

Machine Learning for Engineers: Algorithms and Applications

Master practical machine learning algorithms through hands-on implementation in Python and PyTorch, covering supervised and unsupervised learning techniques for real-world applications in computer vision, NLP, and robotics.

• Coursera
• 17 hours 31 minutes
• Self-Paced
• Paid Course

Agile Business Processes: Systems for Operational Success

Explore business process concepts, strategies, and frameworks to transform ad-hoc practices into formal processes. Learn to map, analyze, and improve workflows for operational success in the digital age.

• Coursera
• 15 hours 3 minutes
• Self-Paced
• Paid Course

Data Analytics Engineering: Probability & Techniques

Explore data analytics fundamentals, from Python basics to advanced techniques. Learn data structures, wrangling, and exploratory analysis to extract meaningful insights from real-world datasets.

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