Oxford Training Centre‘s AI in MATLAB course offers a complete introduction to using MATLAB for artificial intelligence applications. This program is intended to help professionals and researchers improve their skills in machine learning, deep learning, and data science using MATLAB. Participants will investigate MATLAB’s Machine Learning Toolbox, experiment with neural networks, and apply predictive modelling techniques to real-world challenges. Hands-on projects will provide learners with experience in computer vision, natural language processing (NLP), and AI-driven data analysis.
By the end of this MATLAB Artificial Intelligence Course, students will be able to implement deep learning algorithms, preprocess data, and create AI-driven models for a number of applications. Whether you’re a data scientist, engineer, or AI enthusiast, this course will provide you with the tools you need to succeed in the field of MATLAB-based artificial intelligence.
Objectives and Target Group
Objectives
Participants in the course will develop the following skills and knowledge:
- Understand the basics of AI, Machine Learning, and Deep Learning using MATLAB.
- Gain hands-on experience working with the MATLAB Machine Learning Toolbox to build predictive models.
- Develop expertise in techniques related to the MATLAB Neural Network Tutorial for AI-driven applications.
- Apply Data Science using MATLAB to analyze large datasets and make data-driven decisions.
- Implement predictive modeling using MATLAB to forecast trends and enhance decision-making processes.
- Work with computer vision in MATLAB, including image recognition, object detection, and image segmentation.
- Gain experience with Deep Learning in MATLAB, including CNNs and RNNs.
- Integrate business and research projects using MATLAB for AI programming.
- Design, develop, and optimize AI projects in MATLAB for industry-specific problem-solving.
- Understand the use of MATLAB in text and speech analysis for natural language processing applications.
Target Group
This course is designed for:
- Data scientists looking to enhance their AI skills with MATLAB.
- Engineers and researchers working on AI-driven projects in MATLAB.
- Machine learning practitioners who want to explore MATLAB’s Machine Learning Toolbox.
- Software developers and programmers interested in integrating AI in MATLAB applications.
- Graduate students and academics conducting research in AI, deep learning, and data science.
- Business analysts and professionals seeking to leverage predictive modeling in MATLAB for decision-making.
- AI enthusiasts looking for a structured MATLAB Neural Network Tutorial and AI programming techniques.
- Industry professionals interested in applying MATLAB for AI projects in healthcare, finance, robotics, and automation.
Course Content
Key Topics to Be Covered in the Course
- Introduction to AI in MATLAB
- Overview of MATLAB for AI programming and applications.
- Introduction to Machine Learning using MATLAB and Deep Learning concepts.
- Exploring the MATLAB Machine Learning Toolbox and its capabilities.
- Data Science and AI in MATLAB
- Preprocessing methods for data to enhance machine learning models.
- Feature selection and extraction to improve AI model accuracy.
- Big data handling in MATLAB for AI-driven decision-making.
- Machine Learning with MATLAB
- Supervised and unsupervised learning techniques.
- Implementation of regression, classification, and clustering models in MATLAB.
- Hands-on practice using the MATLAB Machine Learning Toolbox.
- Deep Learning in MATLAB
- Understanding neural networks and deep learning architectures.
- Implementing techniques from the MATLAB Neural Network Tutorial.
- Training and optimizing deep learning models for AI applications.
- Predictive Modeling and AI Applications
- Predictive modeling techniques to forecast trends using MATLAB.
- Case studies on AI-driven business analytics and decision-making.
- Best practices for model validation and performance evaluation.
- Computer Vision with MATLAB
- Introduction to image processing and feature extraction.
- Object detection, face recognition, and pattern recognition using MATLAB.
- AI application development in computer vision.
- MATLAB AI Projects and Real-Time Applications
- Hands-on projects applying MATLAB in AI.
- Practical applications in healthcare, finance, robotics, and automation.
- Real-world case studies showcasing MATLAB’s AI success stories.