Coursera Courses

Sustainability through Soccer: Systems-Thinking in Action

45 ratings at Coursera

Explore systems-thinking and sustainability through soccer, learning to evaluate and improve systems while developing a holistic mindset for addressing real-world challenges.

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

Design Thinking: Discovery Tools

43 ratings at Coursera

Explore essential human-centered design tools like stakeholder mapping, journey mapping, and personas to connect with customers, understand their needs, and generate innovative ideas.

• Coursera
• 13 hours 52 minutes
• Self-Paced
• Paid Course

Building Generative AI Capabilities

35 ratings at Coursera

Gain insights on developing AI capabilities in marketing, using the AI Marketing Canvas, and addressing ethical considerations to create a competitive advantage.

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

Advertising in the Age of Generative AI

33 ratings at Coursera

Explore the impact of generative AI on advertising, focusing on brand identity and logo creation. Learn to craft compelling brand essence statements and leverage AI for effective marketing strategies.

• Coursera
• 1 hour 6 minutes
• Self-Paced
• Paid Course

Sustainable Supply Chains

31 ratings at Coursera

Explore sustainable supply chain management, from fundamentals to advanced strategies. Learn to create transparent processes, navigate industry challenges, and align with sustainability goals and regulations.

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

Human Excellence in the AI Age, Part 2: A Soft Skills Course

Develop adaptive learning skills, manage emotions, and foster collaborative relationships to excel in the AI-driven workplace. Enhance critical thinking and reflective listening for personal and professional growth.

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

Coding Algorithms with AI

Discover how to build algorithms and controllers using AI-driven approaches, focusing on JavaScript development, debugging techniques, and automating processes for web applications.

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

Coding Data Models with AI

Master data model design and AI integration to build full-stack applications using Firebase, OpenAI APIs, and professional development tools like Cursor IDE.

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

Coding User Interfaces with AI

Discover how to transform design ideas into functional user interfaces using HTML & CSS with AI assistance, focusing on product-first coding principles and responsive design.

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

Career Certificate

Coding with AI for MBAs

Master AI-powered coding for digital product development, from user interfaces to algorithms and data models, with a disciplined approach for MBAs and business professionals.

• Coursera
• 12 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 3 courses

Coding Algorithms with AI

Discover how to build algorithms and controllers using AI-driven approaches, focusing on JavaScript development, debugging techniques, and automating tasks for web applications.

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

Coding Data Models with AI

Master data model design and AI integration to build full-stack applications using Firebase, OpenAI APIs, and professional development tools like Cursor IDE.

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

Coding User Interfaces with AI

Discover how to transform design ideas into functional user interfaces using HTML, CSS, and AI-powered coding techniques for non-technical professionals.

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

Effectuation: Lessons From Expert Entrepreneurs

Explore entrepreneurship through expert experiences, learn effectual thinking, and overcome common obstacles to starting a venture. Gain practical insights for tackling uncertainty and creating new possibilities.

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

Career Certificate

Data Science Foundations

117509 ratings at Coursera

Master essential data science skills through IBM tools and academic foundations, from Python programming to machine learning, preparing for high-demand roles with hands-on projects and industry insights.

• Coursera
• 12 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 8 courses