Professional Certificate in Machine Learning and Artificial Intelligence at Imperial College London
Professional Certificate in Machine Learning and Artificial Intelligence
Certificate degree at Imperial College London
Program Details
Explore the Professional Certificate in Machine Learning and Artificial Intelligence program at Imperial College London. This program is offered in GBR and provides an excellent learning opportunity in Certificate studies.
The Professional Certificate in Machine Learning and Artificial Intelligence at Imperial College London is a 25-week online program designed for professionals seeking to enhance their expertise in machine learning and AI. This course combines advanced technical knowledge with practical business applications, enabling participants to understand and implement machine learning solutions effectively. The curriculum covers foundational concepts, statistical methods, and advanced topics such as deep learning and reinforcement learning. Participants will engage in hands-on activities and complete a capstone project, culminating in a job-ready portfolio. The program is particularly suited for IT professionals, data analysts, and recent STEM graduates aiming to leverage AI in their careers. Graduates will receive a verified Digital Certificate, showcasing their skills and knowledge in this high-demand field.
- University
- Imperial College London
- University Location
- GBR (Online)
- Program Duration
- 0.48 years
- Ranking
- #2
- Part-time allowed
- Yes
Required Courses
- Module 1: Programme Orientation
- Module 2: Introduction to Machine Learning
- Module 3: Probability for Machine Learning
- Module 4: Statistics for Machine Learning
- Module 5: Generalisation Theory and the Bias-Variance Trade-Off
- Module 6: Evaluating Predictive Performance
- Module 7: Advanced Topics in Performance Evaluation
- Module 8: Nearest Neighbour Methods
- Module 9: Decision Trees, Part I
- Module 10: Decision Trees, Part II
- Module 11: Naive Bayes
- Module 12: Bayesian Optimisation
- Module 13: Logistic Regression
- Module 14: Support Vector Machines
- Module 15: Unsupervised Learning
- Module 16: Principal Component Analysis
- Module 17: Introduction to Deep Learning
- Module 18: Neural Networks
- Module 19: Hyperparameters
- Module 20: Transparency and Interpretability
- Module 21: Convolutional Neural Networks
- Module 22: Biological Basis for Convolutional Neural Networks
- Module 23: Reinforcement Learning
- Module 24: Hyperparameter Tuning
- Module 25: Capstone Competition
Elective Courses
- No elective courses listed.
Online Program
This program can be completed entirely online.