AI For Project Managers And Scrum Masters Course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview: This course is designed for project managers and Scrum Masters looking to integrate AI into Agile workflows. The curriculum spans six modules, combining foundational AI concepts with practical applications in project management. With a total time commitment of approximately 15–20 hours, learners engage in hands-on exercises, labs, and guided projects to build understanding of AI tools and techniques relevant to modern project delivery. Each module blends conceptual learning with real-world application, culminating in a final project that demonstrates proficiency in leveraging AI for enhanced project efficiency and decision-making.
Module 1: Foundations of Computing & Algorithms
Estimated time: 2 hours
- Introduction to computing fundamentals
- Core algorithmic thinking for problem-solving
- Applying computational thinking to project challenges
- Hands-on exercises in algorithmic logic
Module 2: Neural Networks & Deep Learning
Estimated time: 4 hours
- Overview of neural networks and their structure
- Understanding deep learning concepts
- Review of tools and frameworks used in practice
- Best practices in model development
Module 3: AI System Design & Architecture
Estimated time: 4 hours
- Principles of AI system design
- Architectural patterns for intelligent systems
- Hands-on exercises in system modeling
- Guided project work with feedback
Module 4: Natural Language Processing
Estimated time: 2 hours
- Introduction to key NLP concepts
- Applications of NLP in project communication
- Review of NLP tools and frameworks
Module 5: Computer Vision & Pattern Recognition
Estimated time: 3 hours
- Introduction to computer vision fundamentals
- Pattern recognition in project data
- Interactive lab: Building practical solutions
- Review of relevant tools and frameworks
Module 6: Deployment & Production Systems
Estimated time: 3 hours
- Introduction to deployment pipelines
- Hands-on exercises in production system setup
- Monitoring and maintaining AI systems in real-world environments
Prerequisites
- Familiarity with basic project management concepts
- No technical background required
- Experience in Agile or Scrum environments preferred
What You'll Be Able to Do After
- Apply AI concepts to improve project planning and execution
- Use AI tools to automate routine project management tasks
- Integrate AI into Agile workflows as a Scrum Master or PM
- Evaluate AI model performance using appropriate benchmarks
- Design and deploy basic AI-powered project solutions