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Regularly assessing the progress of AI projects and their alignment with business goals is essential, as is being prepared to adjust or change direction based on feedback, performance metrics or changes in business priorities. Executing AI initiatives through agile projectmanagement methodology is clearly helpful here.
The course covers principles of generative AI, data acquisition and preprocessing, neural network architectures, natural language processing, image and video generation, audio synthesis, and creative AI applications. Upon completing the learning modules, you will need to pass a chartered exam to earn the CGAI designation.
Casestudies: Present a real-world problem requiring teamwork to resolve. Example: Ask a group of candidates to design an architecture for a scalable web application. Example: During a hackathon, observe how candidates delegate tasks, handle disagreements, and support each other.
The project’s goals, outlined in. this casestudy. is a unified interface for managing physical, virtual and cloud services,” Raju Sharma, Director, Edge AI, NetworkCustomer Assurance, Verizon, explained. in this casestudy. with an API-first architecture, based on TM Forum Open APIs.
Governance in business use of AI Clear documentation provided by model cards aids projectmanagement in ML and AI initiatives. Use case details Here, the target audience and potential applications of the model are outlined, including specific limitations that users might encounter.
The HVAC vendor had access to Targets systems for electronic billing, contract submission, and projectmanagement. Perimeter-based security architectures like firewalls are giving way to zero-trust architectures. Notes The story is interesting beyond the fact that it highlights the need to properly manage access.
With a PhD in Planning and Innovation Studies, and a Master’s degree in Architecture, Urban Design and Urban Planning, Karuri-Sebina has a sound knowledge base for her work as Executive Manager of programs at the South African Cities Network.
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