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.
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Identify key data considerations for responsible AI.
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Analyze bias in language models using multiple methods.
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Implement fairness strategies in AI application development.
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Evaluate GenAIOps frameworks for enterprise deployment.
Courses
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1
Welcome to the "Building AI Products: Implementing Responsible AI" Professional Certificate5mWelcome to the "Building AI Products: Implementing Responsible AI" Professional Certificate
By: Jigyasa Grover
Leverage technical expertise and ethical awareness as an AI product developer. Prepare to earn the "Building AI Products: Implementing Responsible AI" Professional Certificate.
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2
Implementing a Data Strategy for Responsible AI1h 30mImplementing a Data Strategy for Responsible AI
By: Dr. Brandeis Marshall
This course provides an in-depth understanding of the data considerations, implications, and issues commonly observed throughout the AI product development lifecycle.
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3
Learning XAI: Explainable Artificial Intelligence2h 39mLearning XAI: Explainable Artificial Intelligence
By: Jazmia Henry
This course explores how to identify, evaluate, and mitigate bias in large language models through data curation, mathematical analysis, and model constraints.
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4
Responsible AI and Application Development1h 37mResponsible AI and Application Development
By: Laurence Moroney
Learn all of the steps of creating an AI application with machine learning (ML), ensuring fairness and mitigating biases throughout the process.
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5
Integrating AI into the Product Architecture2h 20mIntegrating AI into the Product Architecture
By: Jigyasa Grover
Learn the skills that can help you seamlessly integrate AI models into product architectures.
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6
GenAIOps Foundations1h 19mGenAIOps Foundations
By: Kumaran Ponnambalam
Leverage GenAIOps in your enterprises for effective development, deployment, and management of GenAI applications.
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7
AI Data Governance, Compliance, and Auditing for Developers1h 14mAI Data Governance, Compliance, and Auditing for Developers
By: Masheika Allgood
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.
Instructors
Jigyasa Grover
12x AI + Open Source Award Winner • Google Advisory Board Member + AI/ML Developer Expert • LinkedIn [in]structor • Book Author 'Sculpting Data' • Startup Advisor • Featured @ Business Insider, Google I/O, UN, & more!
Dr. Brandeis Marshall
I help cross-functional teams execute their responsible AI and data strategies so they can create people-centered tech solutions | Leading DataedX Group + Black Women in Data
Jazmia Henry
Laurence Moroney
| Award-winning AI Researcher | Best Selling Author | Strategy and Tactics | Fellow at the AI Fund | Advisor to many | Inspiring the world about AI | Contact me! |
Kumaran Ponnambalam
AI / ML Leader & Author
Masheika Allgood
Founder | AI Ethicist