Learning Paths for Technical Professionals

Strategic Enablers for AI

This starter learning path equips tech leaders with foundational capabilities for successful GenAI adoption, focusing on strategic business use cases, data governance, risk management, responsible AI practices, and hallucination management. Learners explore AI-driven decision-making, project lifecycle phases, security and privacy challenges, ethical considerations, regulatory frameworks, and practical techniques for minimizing model hallucinations and bias.

Skills:

GenAI use case identification and prioritization

AI-driven business decision-making

Data governance and compliance

AI security and risk management

Responsible and ethical AI practices

Hallucination detection and mitigation

Prompt engineering and fine-tuning

Regulatory and policy awareness

Transparency and explainability in AI

Learning objectives:

  • Identify and prioritize GenAI use cases aligned with business objectives and evaluate their impact on organizational strategy.
  • Apply best practices in data governance, security, and privacy to ensure compliant and robust GenAI implementations.
  • Assess and mitigate risks associated with generative AI, including data leakage, prompt injection, model bias, and hallucinations.
  • Implement responsible AI principles by integrating ethical frameworks, transparency, explainability, and regulatory compliance into AI projects.
  • Develop and deploy strategies for managing and reducing hallucinations in generative models using prompt engineering, RAG, and fine-tuning techniques.

Target audience:

This path is designed for technology leaders, business decision-makers, and professionals responsible for driving AI strategy and governance within their organizations. It is ideal for those seeking to understand the enablers, risks, and ethical considerations of GenAI adoption, as well as practical approaches to responsible and secure AI deployment.

Make AI your ally with an AI Starter Path