Building AI Products: Implementing Responsible AI Professional Certificate by LinkedIn Learning

AI product development requires both technical expertise and ethical considerations. These courses teach you how to implement responsible AI practices throughout the entire lifecycle: data strategy, explainable AI, fair application development, and GenAIOps for enterprise deployment. Gain the skills to build AI systems that are both powerful and trustworthy. Complete the courses, pass the final exam, and earn your certificate.

Identify key data considerations for responsible AI.
Analyze bias in language models using multiple methods.
Implement fairness strategies in AI application development.
Evaluate GenAIOps frameworks for enterprise deployment.

Syllabus

Courses under this program:
Course 1: Welcome to the "Building AI Products: Implementing Responsible AI" Professional Certificate
-Leverage technical expertise and ethical awareness as an AI product developer. Prepare to earn the "Building AI Products: Implementing Responsible AI" Professional Certificate.

Course 2: Implementing a Data Strategy for Responsible AI
-This course provides an in-depth understanding of the data considerations, implications, and issues commonly observed throughout the AI product development lifecycle.

Course 3: Learning XAI: Explainable Artificial Intelligence
-This course explores how to identify, evaluate, and mitigate bias in large language models through data curation, mathematical analysis, and model constraints.

Course 4: Responsible AI and Application Development
-Learn all of the steps of creating an AI application with machine learning (ML), ensuring fairness and mitigating biases throughout the process.

Course 5: Integrating AI into the Product Architecture
-Learn the skills that can help you seamlessly integrate AI models into product architectures.

Course 6: GenAIOps Foundations
-Leverage GenAIOps in your enterprises for effective development, deployment, and management of GenAI applications.

Course 7: AI Data Governance, Compliance, and Auditing for Developers
-This course equips developers with an understanding of AI data governance, from its legal foundations to the areas you need to be aware of for auditing and compliance readiness.