Enroll Course: https://www.coursera.org/learn/ibm-ai-workflow-ai-production
In the rapidly evolving field of artificial intelligence, understanding how to effectively deploy and manage AI models in production is crucial. The ‘AI Workflow: AI in Production’ course, part of the IBM AI Enterprise Workflow Certification specialization on Coursera, offers a comprehensive look into this essential aspect of AI. This course is designed for those who have completed the previous courses in the specialization, as it builds upon the foundational knowledge gained earlier.
### Course Overview
The course focuses on the practical application of AI models in a hypothetical streaming media company. It introduces IBM Watson Machine Learning and guides you through the process of building your own API within a Docker container. This hands-on approach ensures that learners not only understand the theoretical aspects of AI workflows but also gain practical skills that are highly valued in the industry.
### Syllabus Breakdown
The course is structured into several key modules:
1. **Feedback Loops and Monitoring**: This module emphasizes the importance of feedback loops in the AI workflow. It covers unit testing and the significance of monitoring business value, ensuring that the AI models are meeting their intended goals. A case study on performance monitoring allows learners to apply their knowledge in a practical setting.
2. **Hands-on with Openscale and Kubernetes**: Here, students engage with IBM Watson Openscale and Kubernetes. This module is particularly beneficial for those looking to understand how to track AI performance and manage containerized applications effectively.
3. **Capstone Project (Part 1 & 2)**: The capstone project is a significant component of the course, designed to synthesize all the knowledge acquired. In Part 1, learners investigate data, while Part 2 focuses on model building and post-production analysis. This real-world scenario emulates the challenges faced in the industry, providing invaluable experience.
### Why You Should Enroll
This course is highly recommended for anyone looking to deepen their understanding of AI deployment and management. The structured approach, combined with hands-on projects, ensures that learners are well-prepared for real-world applications. Additionally, the emphasis on business metrics and performance monitoring is a critical skill set that many employers seek.
### Conclusion
Overall, ‘AI Workflow: AI in Production’ is an excellent course for those serious about a career in AI. It not only equips you with the necessary technical skills but also emphasizes the importance of aligning AI initiatives with business goals. If you’re ready to take your AI knowledge to the next level, this course is a must-enroll!
### Tags
1. AI
2. Machine Learning
3. IBM
4. Coursera
5. Data Science
6. Docker
7. Kubernetes
8. AI Workflow
9. Performance Monitoring
10. Capstone Project
### Topic
AI in Production
Enroll Course: https://www.coursera.org/learn/ibm-ai-workflow-ai-production