Artificial Intelligence Courses and Certifications

AI for Lawyers: Learning and Leading

Explore the intersection of AI, education, and leadership in legal practice, focusing on effective communication, decision-making, and professional development strategies.

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

AI for Lawyers: Time and Tasks

Master AI delegation strategies for legal work, learning when and how to effectively use AI tools while avoiding common pitfalls and maintaining essential human judgment in legal practice.

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

Data Augmented Technology Assisted Medical Decision Making

Learn to leverage AI for enhanced medical diagnostics, interpret ML models, critically evaluate AI studies, and navigate ethical considerations in AI-assisted healthcare decision-making.

• Coursera
• 11 hours 41 minutes
• Self-Paced
• Paid Course

Defining AI for Social Impact

Explore how AI drives social impact through real-world case studies, from wildlife protection to healthcare access, while examining ethical considerations and algorithmic limitations.

• Coursera
• 2 weeks, 2 hours a week
• Self-Paced
• Paid Course

Career Certificate

Realizing AI for Social Impact

Explore how AI drives social impact across public health and conservation, mastering techniques from machine learning to reinforcement learning while addressing ethical challenges in resource-constrained environments.

• Coursera
• Self-Paced
• Paid Course
• 3 courses

Human Factors in AI

238 ratings at Coursera

Explore human-centered design, data privacy, ethical considerations, and societal impacts in AI product development to create user-centric and responsible AI solutions.

• Coursera
• 17 hours 34 minutes
• Self-Paced
• Paid Course

AI for Workplace Productivity (Live Online)

749 ratings at CourseHorse

Tap into AI to lift productivity and streamline how you work.

• CourseHorse
• 7 hours
• Self-Paced
• $299.00

Introduction to AI: Key Concepts and Applications

Master essential AI foundations, from R.O.A.D framework to algorithm selection, data quality, and performance metrics. Gain practical insights for evaluating and implementing AI systems while balancing technical depth with strategic decision-making.

• Coursera
• 19 hours 58 minutes
• Self-Paced
• Paid Course

AI for Workplace Productivity (Live Online)

686 ratings at CourseHorse

Reshape the way you work by using AI thoughtfully in this complete course.

• CourseHorse
• 7 hours
• Self-Paced
• $299.00

AI for Python (Live Online)

686 ratings at CourseHorse

Build a strong foundation in AI through this comprehensive Python course.

• CourseHorse
• 35 hours
• Self-Paced
• $1,895.00

Nearest Neighbor Collaborative Filtering

308 ratings at Coursera

Learn personalized recommendation techniques using nearest-neighbor algorithms. Explore user-user and item-item collaborative filtering, their variations, benefits, and drawbacks for creating tailored product suggestions.

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

Deep Teaching Solutions

Speak Freely, Think Critically: The Free Speech Balance Act

29 ratings

Discover how to navigate free speech challenges in the digital age, master difficult conversations, and bridge divides using neuroscience-backed negotiation techniques.

• Coursera
• 9 hours 55 minutes
• Self-Paced
• Paid Course

[2026] Tensorflow 2: Deep Learning & Artificial Intelligence

14147 ratings at Udemy

Machine Learning & Neural Networks for Computer Vision, Time Series Analysis, NLP, GANs, Reinforcement Learning, +More!

• Udemy
• 1 day 2 hours 5 minutes
• Self-Paced
• Paid Course

Nvidia

AI Infrastructure and Operations Fundamentals

498 ratings at Coursera

Explore AI fundamentals, infrastructure, and operations for enterprise professionals. Gain insights into GPU computing, data center design, cloud deployment, and MLOps for effective AI implementation.

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

Machine Learning Foundations: A Case Study Approach

40 ratings

Hands-on exploration of machine learning applications through practical case studies, covering regression, classification, clustering, recommender systems, and deep learning using Python.

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

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