Social And Emotional Learning Courses

Social Computing

820 ratings at Coursera

Explore social computing's impact on online collaboration, learn strategies for successful digital communities, and discover how technology enhances human connection beyond face-to-face interactions.

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

Capstone: Analyzing (Social) Network Data

101 ratings at Coursera

Analyze social networks to uncover influential members, sub-communities, and connections. Apply graph algorithms and data structures to explore real-world network data and showcase findings through a video presentation.

• Coursera
• 19 hours 49 minutes
• Self-Paced
• Paid Course

Deploying Machine Learning Models

54 ratings at Coursera

Learn to build and deploy recommender systems using Python. Implement similarity-based models, optimize with gradient descent, and create interactive web applications for real-world datasets.

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

Exploring Emerging Technologies for Lifelong Learning and Success

444 ratings at Coursera

Discover emerging technologies for personal and professional growth. Develop lifelong learning habits, enhance 21st-century skills, and create a digital portfolio to showcase your achievements and future goals.

• Coursera
• 3 hours 47 minutes
• Self-Paced
• Paid Course

e-Learning Ecologies: Innovative Approaches to Teaching and Learning for the Digital Age

1600 ratings at Coursera

Explore innovative approaches to digital-age teaching and learning through seven key affordances of e-learning ecologies. Discover how to harness technology for transformative 21st-century education and prepare learners for success in the digital world.

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

Learning Science Through Golf

11 ratings

Explora la ciencia del golf: física del palo, por qué las pelotas tienen hoyuelos, diferencias entre fairway y rough, y la tecnología detrás del swing.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Kaggle;  Amazon;  Amazon Web Services Career Certificate

AWS Machine Learning Engineer Nanodegree

11 ratings

Master foundational ML skills, from supervised learning to deep learning. Deploy models to production environments and complete a capstone project in your chosen domain.

• Udacity
• 94 hours
• Self-Paced
• Paid Course

Leadership Through Social Influence

1383 ratings at Coursera

Develop leadership skills through persuasive influence strategies. Learn to analyze situations, address challenges, and apply effective tools for attitude change, social influence, and behavior modification.

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

Machine Learning Foundations for Product Managers

829 ratings at Coursera

Build foundational understanding of machine learning, including model development, evaluation, and common algorithms. Gain hands-on experience training and optimizing a model for a real-world problem.

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

Career Certificate

MLOps | Machine Learning Operations

621 ratings at Coursera

Comprehensive MLOps training covering Python, Rust, GitHub Copilot, cloud platforms, and LLMs. Gain skills for data science, ML engineering, cloud architecture, and AI product management.

• Coursera
• 24 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 4 courses

Managing Machine Learning Projects

390 ratings at Coursera

Learn to identify ML opportunities, organize projects, handle data, design systems, and manage model lifecycles for successful machine learning implementations.

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

Cloud Machine Learning Engineering and MLOps

92 ratings at Coursera

Develop machine learning applications using cloud computing, AutoML, and MLOps. Explore emerging topics like edge ML and AI APIs. Build a Flask web app for ML predictions.

• Coursera
• 13 hours 47 minutes
• Self-Paced
• Paid Course

Interpretable Machine Learning

30 ratings at Coursera

Develop transparent and trustworthy AI solutions using interpretable machine learning techniques. Master regression models, decision trees, neural networks, and mechanistic interpretability for responsible AI in high-risk domains.

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

Explainable Machine Learning (XAI)

27 ratings at Coursera

Develop transparent and trustworthy AI solutions using explainable machine learning techniques. Implement local and global explainability methods, visualize neural networks, and explore emerging approaches for large language models.

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

Learning from Data (Introductory Machine Learning course)

10 ratings

Comprehensive introduction to machine learning theory, algorithms, and applications, balancing mathematical foundations with practical insights for students from diverse backgrounds.

• Independent
• 10 weeks
• Self-Paced
• Free Online Course