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Starts 4 June 2026 01:27

Ends 4 June 2026

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Building AI Products: Understanding the Workflow Professional Certificate by LinkedIn Learning

Master enterprise AI product development from ideation to deployment, covering orchestration, security, ROI analysis, and responsible AI implementation practices.
via LinkedIn Learning

752 Courses


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Intermediate

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Overview

Enterprise AI is transforming how businesses and technical teams operate, but successful implementation requires more than just technical knowledge. These courses teach technical decision-makers how to effectively build and deploy AI products in enterprise environments.

You'll obtain the knowledge needed to lead successful enterprise AI product development, from conception to deployment. Tune in, pass the final exam, and earn your certificate.Plan enterprise AI initiatives from start to finish.Analyze AI platforms against business requirements.Identify security risks and compliance for AI products.Create measurement frameworks for AI product performance.

Syllabus

  • Introduction to AI in Enterprise Environments
  • Overview of AI in business
    Key challenges and opportunities
  • Planning Enterprise AI Initiatives
  • Identifying business needs and opportunities for AI
    Building a strategic AI roadmap
    Setting realistic AI project goals
  • AI Product Development Lifecycle
  • Ideation and concept development
    Prototyping and design thinking
    Agile methods in AI product development
  • Evaluating AI Platforms
  • Criteria for selecting AI platforms
    Comparing AI tools and technologies
    Aligning platforms with business requirements
  • Data Management for AI Products
  • Data collection, processing, and storage
    Ensuring data quality and integrity
    Data privacy and compliance considerations
  • AI Security and Compliance
  • Identifying security risks in AI systems
    Regulatory and compliance requirements
    Implementing security measures and best practices
  • Deployment of AI Products
  • Transitioning from development to production
    Continuous integration and delivery for AI
    Monitoring and managing AI models in production
  • Measuring AI Product Performance
  • Creating performance measurement frameworks
    Key performance indicators for AI products
    Analyzing and interpreting AI product data
  • Leadership and Team Management in AI Initiatives
  • Building and managing AI teams
    Encouraging collaboration and communication
    Leading change in enterprise AI adoption
  • Final Exam and Certification
  • Exam preparation and review
    Certification requirements and process
    Continuing education and professional development
  • Conclusion and Future of AI in Enterprises
  • Emerging trends and technologies
    Identifying future AI opportunities in business

Taught by

Dr. Isil Berkun, Denys Linkov and Reet K.


Subjects

Computer Science