Untitled
unknown
plain_text
a year ago
2.1 kB
3
Indexable
To establish a robust and impactful delivery plan for my first year as a certified DLI Instructor under the DLI Ambassador Program, particularly focusing on Accelerating Data Engineering Pipelines, I propose a structured and comprehensive approach that ensures consistent engagement, effective knowledge transfer, and measurable outcomes. Below is the detailed delivery plan: 1. Workshop Frequency and Scheduling - Quarterly Workshops: Conduct one major workshop per quarter, resulting in four main workshops over the year. This frequency balances consistency with quality, allowing ample time for preparation, customization, and follow-up. - Monthly Mini-Sessions: In addition to the quarterly workshops, I will host monthly mini-sessions or webinars. These will be shorter, more focused sessions (1-2 hours) aimed at reinforcing concepts, addressing common challenges, and providing a platform for continuous learning. 2. Target Audience and Group Composition Primary Audience: - Data Engineers: Professionals seeking to enhance their skills in building and optimizing data pipelines. - Data Scientists and Analysts: Individuals looking to improve their understanding of data engineering to better manage and process large datasets. - Software Developers: Developers transitioning into data engineering roles or integrating data pipelines into their applications. Secondary Audience: - Students: Graduate students and final-year undergraduates in computer science, data science, and related fields who are preparing to enter the workforce. - IT Professionals: Existing IT staff aiming to pivot their careers towards data engineering. Group Size: - Quarterly Workshops: Each major workshop will be designed to accommodate 30-50 participants. This size ensures personalized attention and effective hands-on learning while maintaining an interactive environment. - Monthly Mini-Sessions: These sessions will be open to a larger audience (up to 100 participants) to foster a broader community engagement and allow for scalable knowledge sharing.
Editor is loading...
Leave a Comment