Agile Development of Artificial Intelligence with SCRUM
SCRUM and Artificial Intelligence
4.50 (2 reviews)
7
students
6 hours
content
Dec 2024
last update
$54.99
regular price
What you will learn
Understand Agile Development and SCRUM
Gain a comprehensive understanding of Agile Development principles and the SCRUM framework
Learn how Agile and SCRUM differ from traditional, linear methodologies and why they are effective for managing complex projects
Learn SCRUM Roles and Responsibilities
Understand the roles within SCRUM, including the Product Owner, Scrum Master, and Development Team
Recognize the responsibilities of each role and how they collaborate to achieve project goals
Master SCRUM Events and Artifacts
Familiarize yourself with the key SCRUM events such as Sprint Planning, Daily Scrums, Sprint Reviews, and Sprint Retrospectives
Understand the importance of SCRUM artifacts, including the Product Backlog, Sprint Backlog, and Increment
Apply SCRUM in AI Projects
Learn how to adapt SCRUM methodologies to the unique challenges of AI projects, such as managing data, models, and computational resources
Understand the importance of iterative development and continuous improvement in AI projects.
Develop AI Models Using SCRUM
Gain practical experience in planning, developing, and deploying AI models within the SCRUM framework
Learn how to manage AI projects using SCRUM, including sprint planning, retrospective sessions, and continuous feedback loops
Implement AI Testing and Validation Strategies
Understand the importance of testing and validation in AI projects, including data validation, model performance testing, and bias management
Learn how to use tools and techniques to ensure the robustness, fairness, and ethical considerations of AI models
Manage Computational Resources and Model Optimization
Learn how to optimize AI models for deployment, including techniques like quantization, pruning, and knowledge distillation
Understand the management of computational resources, including auto-scaling, resource quotas, and monitoring
Ensure Ethical and Responsible AI Development
Explore the ethical challenges in AI development, including bias, fairness, and transparency
Learn how to implement ethical AI practices and manage bias in AI models
Develop a Final AI Project Using SCRUM
Apply all the knowledge and skills learned throughout the course to develop a final AI project using the SCRUM methodology
Create a web application with generative AI, integrating everything learned in the course
Prepare for Professional AI Project Management
Gain the practical skills and knowledge necessary to manage real-world AI development projects using Agile and SCRUM methodologies
Develop a practical methodology for approaching AI projects, combining theoretical knowledge with hands-on experience
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udemy ID
12/15/2024
course created date
12/31/2024
course indexed date
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