AI Engineering & Machine Learning Systems Development Training Course

Course Overview

Learning Objectives

• By the end of the course, participants will be able to:
• Analyze the core principles of AI engineering and machine learning systems development.
• Define AI and machine learning use cases based on business and operational requirements.
• Design data pipelines and prepare datasets for machine learning applications.
• Apply appropriate machine learning algorithms and model development techniques.
• Perform feature engineering, model selection, and performance evaluation.
• Design scalable architectures for machine learning applications.
• Develop reproducible machine learning workflows and experimentation processes.
• Deploy machine learning models into production environments.
• Implement model serving, monitoring, versioning, and lifecycle management.
• Optimize machine learning systems for performance, scalability, and reliability.
• Apply governance, security, explainability, and responsible AI principles.
• Develop an end-to-end AI engineering implementation and deployment strategy.

Who Should Attend

Learning Outcomes

• Upon completion of the course, participants will be able to:
• Translate organizational requirements into practical AI and machine learning solutions.
• Design end-to-end machine learning system architectures.
• Prepare, transform, and validate data for machine learning workflows.
• Select and develop appropriate machine learning models.
• Apply feature engineering and model optimization techniques.
• Evaluate model accuracy, reliability, and operational performance.
• Build reproducible machine learning development pipelines.
• Deploy machine learning models through suitable production architectures.
• Implement model monitoring, version control, and lifecycle management.
• Integrate AI models with applications, APIs, and enterprise systems.
• Identify and manage data, model, security, and operational risks.
• Develop a complete AI engineering roadmap from experimentation to production.

Course Outline