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4.9/5
4.9/5
Learn to design safe, responsible, and enterprise-driven AI applications within 1.5 days, focusing on security, ethics, and lifecycle management.
Date
20 Sep - 21 Sep (Sat-Sun)
Time
10:00 AM - 2:00 PM (EDT)
$ 1,899
32% OFF
$ 1,299
Get it for
Online
$ 1,299
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20 Sep
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21 Sep
(Sat-Sun)
10:00 AM
-
2:00 PM
(EDT)
Get it for
Online
$ 1,299
Enrolling... Enroll Now
27 Sep
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28 Sep
(Sat-Sun)
10:00 AM
-
2:00 PM
(EDT)
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Online
$ 1,299
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04 Oct
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05 Oct
(Sat-Sun)
10:00 AM
-
2:00 PM
(EDT)
Trusted by organizations worldwide for professional development. Advance Agility connects clients with experienced trainers and global peers.
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This course provides foundational knowledge on designing AI applications that are safe, secure, and responsibly aligned with enterprise standards. Over 1.5 days, participants will explore AI engineering principles with a strong focus on safety considerations including risk assessment, ethical AI development, compliance, and security best practices. The curriculum emphasizes building AI systems that maintain reliability and trustworthiness throughout their lifecycle. Learners will gain insights into methods for mitigating biases, preventing failures, and ensuring systems adhere to regulatory and organizational guidelines. Practical examples and governance frameworks will be discussed to prepare AI engineers for real-world challenges in deploying responsible AI solutions.
Lean Business Leadership and AI Coach
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Director of Agile Product Delivery & Transformation Coach
Business Agility and Transformation Coach
Build expertise in designing AI systems that are secure, ethical, and compliant with enterprise safety standards for responsible AI deployment.
