AI Project Management Aipm Course Syllabus

Overview: This course provides a practical introduction to managing AI projects, designed for professionals looking to lead AI initiatives in modern organizations. The curriculum spans approximately 14-20 hours across six modules, combining foundational concepts, real-world case studies, hands-on exercises, and guided project work. Learners will gain skills in AI project lifecycle management, system design, and deployment strategies, with instructor feedback and peer-reviewed assessments to reinforce learning. Ideal for project managers and team leads transitioning into AI-driven environments.

Module 1: Foundations of Computing & Algorithms

Estimated time: 2 hours

• Introduction to key concepts in foundations of computing & algorithms
• Case study analysis with real-world examples
• Hands-on exercises applying foundations of computing & algorithms techniques
• Guided project work with instructor feedback

Module 2: Neural Networks & Deep Learning

Estimated time: 3 hours

• Introduction to key concepts in neural networks & deep learning
• Review of tools and frameworks commonly used in practice
• Case study analysis with real-world examples
• Assessment: Quiz and peer-reviewed assignment

Module 3: AI System Design & Architecture

Estimated time: 4 hours

• Introduction to key concepts in AI system design & architecture
• Interactive lab: Building practical solutions
• Hands-on exercises applying AI system design & architecture techniques

Module 4: Natural Language Processing

Estimated time: 4 hours

• Hands-on exercises applying natural language processing techniques
• Review of tools and frameworks commonly used in practice
• Interactive lab: Building practical solutions
• Guided project work with instructor feedback

Module 5: Computer Vision & Pattern Recognition

Estimated time: 3 hours

• Introduction to key concepts in computer vision & pattern recognition
• Review of tools and frameworks commonly used in practice
• Guided project work with instructor feedback
• Discussion of best practices and industry standards

Module 6: Deployment & Production Systems

Estimated time: 2 hours

• Introduction to key concepts in deployment & production systems
• Case study analysis with real-world examples
• Assessment: Quiz and peer-reviewed assignment

Prerequisites

• Familiarity with basic project management concepts
• Basic understanding of AI and technology workflows
• No advanced coding experience required

What You'll Be Able to Do After

• Evaluate model performance using appropriate metrics and benchmarks
• Design algorithms that scale efficiently with increasing data
• Build and deploy AI-powered applications for real-world use cases
• Apply computational thinking to solve complex engineering problems
• Implement prompt engineering techniques for large language models