Coursera Courses

Foundations for Active Learning in STEM Courses

13 ratings at Coursera

Discover evidence-based active learning strategies, techniques, and practical applications specifically designed for STEM educators to enhance student engagement and outcomes.

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

Healthcare Delivery for Medical Practice Managers

14 ratings at Coursera

Gain insights into ambulatory healthcare management, from care locations to population health strategies, while mastering practice management skills for improved patient outcomes and healthcare delivery.

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

Responding, Revising and Assessing Student Writings

12 ratings at Coursera

Explore effective strategies for responding to, revising, and assessing student writing. Learn to provide meaningful feedback, teach revision techniques, and implement fair evaluation methods.

• Coursera
• 20 hours 37 minutes
• Self-Paced
• Paid Course

The Persuasive Leader

11 ratings at Coursera

Explore agile and persuasive leadership techniques to enhance organizational effectiveness, team dynamics, and personal growth through conversation, engagement, and practical application.

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

Applied Machine Learning: Techniques and Applications

12 ratings at Coursera

Master applied machine learning techniques for computer vision, data analysis, and model evaluation. Gain hands-on experience with image processing, supervised learning, and essential skills in data pre-processing and performance assessment.

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

Social Network Analysis

11 ratings at Coursera

Explore social network dynamics through graph theory, centrality measures, and statistical modeling. Gain skills to analyze relationships, identify influencers, and conduct hypothesis testing using R programming tools.

• Coursera
• 12 hours 32 minutes
• Self-Paced
• Paid Course

Practical Methodology and Ethics in AI

11 ratings at Coursera

Master practical AI methodologies while exploring ethical considerations, from model training to deployment, with emphasis on bias detection, probabilistic approaches, and creating responsible AI solutions.

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

Generative AI and Symbolic Reasoning

11 ratings at Coursera

Master the fundamentals of generative AI, from transformers and LLMs to symbolic AI integration. Explore practical applications, ethical considerations, and techniques for building responsible, explainable AI systems.

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

Trustworthy AI: Managing Bias, Ethics, and Accountability

12 ratings at Coursera

Explore ethical AI development through bias analysis, risk mitigation, and regulatory frameworks while gaining practical insights for building fair and accountable artificial intelligence systems.

• Coursera
• 16 hours 46 minutes
• Self-Paced
• Paid Course

Modeling Data in the Tidyverse

10 ratings at Coursera

Learn to model data effectively using the Tidyverse in R. Covers hypothesis testing, regression, machine learning, and more. Gain skills to uncover insights and improve decision-making through data analysis.

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

Family Spirit Nurture

10 ratings at Coursera

Gain skills to promote healthy nutrition for Indigenous families with infants 0-6 months. Learn strengths-based approaches, Native Foodways, infant feeding, and understanding baby personalities.

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

Helping Families Avoid Negative Court Involvement Teach-Out

10 ratings at Coursera

Learn strategies to identify and address potential legal issues in family relationships, empowering individuals and professionals to prevent court involvement through early intervention and preventive planning.

• Coursera
• 3 hours 33 minutes
• Self-Paced
• Paid Course

Career Certificate

Information Assurance Analysis

10 ratings at Coursera

Master advanced cybersecurity concepts across AI systems and industrial networks, from fundamental protocols to cutting-edge security practices for AI governance, ICS architecture, and emerging technologies.

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

Introduction to Neural Networks

10 ratings at Coursera

Master foundational concepts of neural networks, from basic mathematics to advanced architectures like CNNs. Build practical skills in deep learning, optimization techniques, and model training through hands-on experience.

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

Introduction to Uncertainty Quantification

10 ratings at Coursera

Master the fundamentals of Uncertainty Quantification through probability theory, uncertainty propagation, surrogate modeling, reliability analysis, and Bayesian methods for mathematical and engineering systems.

• Coursera
• 1 day 5 hours 57 minutes
• Self-Paced
• Paid Course