(IBM) Python for AI & ML: Foundations to Deployment
About This Course
This course provides a comprehensive journey through Python programming for AI and Machine Learning, covering everything from fundamental Python skills to advanced deep learning model development, deployment, and optimization. You will learn how to develop Python applications, implement APIs, utilize advanced libraries, create machine learning and deep learning models, deploy AI solutions, and apply industry-standard practices in artificial intelligence technologies.
What You'll Learn
LO2: Implement Python APIs for AI and ML
LU2: Advanced Python Libraries for AI and MLLO3: Utilise advanced Python libraries for AI and ML data manipulation and visualisation.
LO4: Apply organisational standards in AI and ML project development.
LU3: Machine Learning Algorithms Implementation
LO5: Implement machine learning algorithms using Python libraries.
LU4: Deep Learning with Python
LO6: Develop deep learning models using Python frameworks.
LO7: Apply debugging and optimisation techniques to deep learning models.
LU5: AI and ML Model Deployment
LO8: Deploy AI and ML models using industry-standard practices.
LO9: Implement security measures in AI and ML applications.
LU6: Advanced AI and ML Projects
LO10: Develop complex AI and ML projects using Python.
LO11: Maintain and enhance AI and ML applications.
Entry Requirements
-Able to speak, listen, write, and read English with Numeracy skills at a minimum proficiency level 4 of the Employability Skills System (i.e., Workplace Literacy and Numeracy, WPLN). Possess Secondary School educational level qualification (O or N-Level).
- Participants must have basic programming experience in any language.
- Learners must bring their own laptop with Windows 10/11 or macOS 10.15+ operating system.