Objective: Equip participants to overcome real-world hurdles in AI development.
Topics Covered:

• Common implementation challenges and solutions.

• Integration of AI models with existing systems.

• Debugging and troubleshooting strategies.

• Iterative development and testing best practices.
  Activity: Work through a case study to resolve implementation challenges.