Artificial Intelligence Courses and Certifications

Career Certificate

Oxford Artificial Intelligence in Trading Series

Explore real-world AI implementations in financial trading and understand their transformative impact on organizations and society's future.

• GetSmarter
• 10th Jun, 2026
• Paid Course

AI for Teacher Assistance

10 ratings at edX

Learn how artificial intelligence can be an assistant not only to students, but also to teachers.

• edX
• 4 weeks, 3-4 hours/week
• Self-Paced
• Free Online Course (Audit)

Machine Learning with Graphs

Master graph-based machine learning techniques including Graph Neural Networks, PageRank, knowledge graphs, and network analysis for modeling complex social, technological, and biological systems.

• YouTube
• 1 day 8 minutes
• Self-Paced
• Free Video

Career Certificate

Artificial Intelligence: Implications for Business Strategy

Discover how AI, machine learning, and generative AI transform business strategy with practical insights from MIT experts for strategic decision-making and organizational transformation.

• GetSmarter
• 6 weeks, 7 hours/week
• 27th May, 2026
• Paid Course

Machine Learning

Learn about machine learning, the area of artificial intelligence (AI) that is concerned with computational artifacts that modify and improve performance through experience.

• edX
• 14 weeks, 8-10 hours/week
• Self-Paced
• Free Certificate

Recommender Systems: Evaluation and Metrics

236 ratings at Coursera

Learn to evaluate recommender systems using various metrics, conduct offline and online evaluations, and compare different alternatives for diverse applications and business goals.

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

Mathematical Foundations of Machine Learning

8308 ratings at Udemy

Essential Linear Algebra and Calculus Hands-On in NumPy, TensorFlow, and PyTorch

• Udemy
• 16 hours 26 minutes
• Self-Paced
• Paid Course

Machine Teaching for Autonomous AI

47 ratings at Coursera

Explore machine teaching for AI, learn to design autonomous systems outperforming current capabilities. Analyze use cases, interview experts, and propose real-world AI solutions.

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

Machine Learning for Accounting with Python

45 ratings at Coursera

Explore machine learning algorithms and their applications in accounting using Python, covering classification, regression, clustering, text analysis, and time series analysis.

• Coursera
• 2 days 16 hours 15 minutes
• Self-Paced
• Paid Course

Bayesian Machine Learning in Python: A/B Testing

7963 ratings at Udemy

Data Science, Machine Learning, and Data Analytics Techniques for Marketing, Digital Media, Online Advertising, and More

• Udemy
• 10 hours 27 minutes
• Self-Paced
• Paid Course

Emerging Technology, Disruption, and AI

33 ratings at Coursera

Explore emerging tech frontiers, predict future trends, and develop skills to thrive in a disruptive world. Gain insights on AI, futurism, and decision-making to lead innovation in the digital era.

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

Custom and Distributed Training with TensorFlow

438 ratings at Coursera

Explore advanced TensorFlow techniques for custom training loops, graph mode optimization, and distributed training on GPUs and TPUs. Gain flexibility and efficiency in model development.

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

Designing Autonomous AI

13 ratings at Coursera

Learn to design autonomous AI systems by breaking down complex tasks, setting goals, and incorporating expert knowledge into AI agents using various architecture patterns.

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

Fundamentals of Machine Learning in Finance

341 ratings at Coursera

Gain practical skills in applying machine learning algorithms to financial problems using Python, covering supervised, unsupervised, and reinforcement learning techniques for real-world applications.

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

Matrix Factorization and Advanced Techniques

190 ratings at Coursera

Explore matrix factorization and hybrid techniques for recommender systems, covering dimensionality reduction, algorithm combination, and advanced machine learning methods for powerful recommendations.

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