Enroll Course: https://www.coursera.org/learn/ibm-ai-workflow-business-priorities-data-ingestion
The ‘AI Workflow: Business Priorities and Data Ingestion’ course offered by IBM on Coursera is an excellent starting point for data scientists and AI practitioners looking to deepen their understanding of AI project workflows. This course is the first part of a specialized six-course certification that emphasizes the importance of a systematic approach to AI implementation, with a focus on business priorities and data preparation.
The course introduces learners to the overall specialization, highlighting the prerequisites and process models used in AI workflows. A key feature is its emphasis on design thinking, a cross-disciplinary process that encourages innovative problem-solving outside traditional data science boundaries. This approach helps practitioners better understand the context and formulate effective solutions.
One of the most valuable modules covers data collection and understanding business opportunities. It underscores the importance of applying scientific thinking to identify and articulate use cases, which is crucial for successful AI projects. The course also dedicates significant attention to data ingestion, a notoriously time-consuming task in data projects. It discusses techniques for cleaning, parsing, and assembling data, illustrated through a real-world case study. This practical component provides actionable insights into handling messy data—an inevitable challenge for data scientists.
Overall, this course offers a well-rounded foundation for anyone involved in AI projects. Its structured approach, combined with practical examples, makes it highly recommended for beginners and intermediate practitioners eager to streamline their workflows and improve project outcomes. Completing this course as part of the specialization will ensure a comprehensive understanding of AI project lifecycle management.
Enroll Course: https://www.coursera.org/learn/ibm-ai-workflow-business-priorities-data-ingestion