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
View Full Course Review

Course AI Assistant Beta

Hi! I can help you find the perfect online course. Ask me something like “best Python course for beginners” or “compare data science courses”.