In an era where Artificial Intelligence is revolutionizing various industries, professionals equipped with the right skills and certifications are in high demand. The Certified Project Management for AI (CPMAI) certification is a game-changer for those seeking to excel in planning, managing, and executing AI and ML projects. And for those looking to grow critical AI and data skills. This episode of the AI Today podcast features an exclusive interview with Selvie Thevathasan, who is CPMAI-certified. She shares insights on the significance of this globally recognized certification.
What is CPMAI?
The rapid advancements in AI necessitate staying abreast of the latest developments. However, understanding AI trends and applying AI best practices are distinct skills. In this podcast, Selvie emphasizes the importance of a structured approach like CPMAI, especially with the emergence of GenAI. CPMAI offers a comprehensive framework for managing AI projects effectively. Selive discusses her real-world challenges with data projects along with valuable lessons and advice for navigating data, analytics, and AI projects.
Is the CPMAI certification worth it?
Selvie delves into her reasons for pursuing the CPMAI certification and how it enhanced her skills, vocabulary, and credibility in the field. With a career managing data projects, she found CPMAI to be an ideal fit. The certification covers essential aspects of AI project management, scoping, data science, Robotic Process Automation (RPA), and automation, equipping professionals with the knowledge to lead successful AI initiatives.
Understanding Cognitive Project Management for AI (CPMAI)
The Cognitive Project Management for AI (CPMAI) Methodology, offered by Cognilytica, is a comprehensive training and certification program. It aims to develop critical AI and data skills for accelerating AI and advanced analytics projects efficiently. Ideal for AI solution providers, this certification enables you to gain credibility and expertise in AI project management, understand AI and ML concepts thoroughly, and adopt the latest industry best practices. [Learn more and sign up here]