وب سایت تخصصی شرکت فرین
دسته بندی دوره ها

Certified Prompt Engineer for Legal & Compliance (CPE-LC)

سرفصل های دوره

Unlock AI Potential in Legal & Compliance: Foundational Skills for Effective Prompt Engineering and AI Integration


1 - Course Preparation
  • 1 - Course Preparation.html

  • 2 - Introduction to AI in Legal Compliance
  • 2 - Section Introduction
  • 3 - 02-01-lessonarticle.pdf
  • 3 - Understanding AI and Its Role in Legal Compliance
  • 4 - 02-02-lessonarticle.pdf
  • 4 - Basics of Natural Language Processing NLP for Legal Work
  • 5 - 02-03-lessonarticle.pdf
  • 5 - Introduction to Prompt Engineering What and Why
  • 6 - 02-04-lessonarticle.pdf
  • 6 - Ethical Considerations of AI in Legal Compliance
  • 7 - 02-05-lessonarticle.pdf
  • 7 - Overview of AI Tools for Legal Research and Compliance
  • 8 - Section Summary

  • 3 - Fundamentals of Prompt Engineering
  • 9 - Section Introduction
  • 10 - 03-01-lessonarticle.pdf
  • 10 - What Makes an Effective Prompt
  • 11 - 03-02-lessonarticle.pdf
  • 11 - Types of Prompts Informational Analytical and Generative
  • 12 - 03-03-lessonarticle.pdf
  • 12 - Structuring Prompts for Accuracy and Relevance
  • 13 - 03-04-lessonarticle.pdf
  • 13 - Common Challenges in Prompt Engineering
  • 14 - 03-05-lessonarticle.pdf
  • 14 - Evaluating AI Responses for Legal Accuracy
  • 15 - Section Summary

  • 4 - AIAssisted Legal Research
  • 16 - Section Introduction
  • 17 - 04-01-lessonarticle.pdf
  • 17 - Using AI for Statutory and Case Law Research
  • 18 - 04-02-lessonarticle.pdf
  • 18 - Refining Prompts for Precise Legal Queries
  • 19 - 04-03-lessonarticle.pdf
  • 19 - Differentiating Between General and JurisdictionSpecific Prompts
  • 20 - 04-04-lessonarticle.pdf
  • 20 - AI Limitations in Legal Research and How to Mitigate Them
  • 21 - 04-05-lessonarticle.pdf
  • 21 - Ensuring Reliability and Verifiability in AIGenerated Research
  • 22 - Section Summary

  • 5 - Prompt Engineering for Contract Analysis
  • 23 - Section Introduction
  • 24 - 05-01-lessonarticle.pdf
  • 24 - Understanding Contract Review Key Clauses
  • 25 - 05-02-lessonarticle.pdf
  • 25 - Crafting Prompts for Extracting Contractual Obligations
  • 26 - 05-03-lessonarticle.pdf
  • 26 - AIPowered Risk Identification in Contracts
  • 27 - 05-04-lessonarticle.pdf
  • 27 - Comparing and Summarizing Contractual Terms with AI
  • 28 - 05-05-lessonarticle.pdf
  • 28 - Enhancing Due Diligence Through Prompt Refinement
  • 29 - Section Summary

  • 6 - AI in Compliance Documentation Policy Writing
  • 30 - Section Introduction
  • 31 - 06-01-lessonarticle.pdf
  • 31 - Automating Compliance Documentation with AI
  • 32 - 06-02-lessonarticle.pdf
  • 32 - Structuring Prompts for Policy Drafting
  • 33 - 06-03-lessonarticle.pdf
  • 33 - Ensuring Regulatory Adherence in AIGenerated Text
  • 34 - 06-04-lessonarticle.pdf
  • 34 - Validating AIGenerated Compliance Documents
  • 35 - 06-05-lessonarticle.pdf
  • 35 - Adapting AI Outputs for Different Regulatory Frameworks
  • 36 - Section Summary

  • 7 - Advanced Prompt Engineering Strategies
  • 37 - Section Introduction
  • 38 - 07-01-lessonarticle.pdf
  • 38 - MultiTurn Prompting for Legal Analysis
  • 39 - 07-02-lessonarticle.pdf
  • 39 - Context Retention and Memory in AI Responses
  • 40 - 07-03-lessonarticle.pdf
  • 40 - Leveraging FewShot and ZeroShot Learning in Legal Prompts
  • 41 - 07-04-lessonarticle.pdf
  • 41 - Using AI to Generate Legal Summaries and Insights
  • 42 - 07-05-lessonarticle.pdf
  • 42 - Iterative Refinement Improving AI Responses Over Time
  • 43 - Section Summary

  • 8 - Risk Management and AI Compliance
  • 44 - Section Introduction
  • 45 - 08-01-lessonarticle.pdf
  • 45 - Identifying AI Risks in Legal Applications
  • 46 - 08-02-lessonarticle.pdf
  • 46 - Mitigating Bias and Hallucinations in AIGenerated Legal Texts
  • 47 - 08-03-lessonarticle.pdf
  • 47 - Ethical and Regulatory Considerations in AIPowered Legal Work
  • 48 - 08-04-lessonarticle.pdf
  • 48 - Implementing AI Governance and Compliance Standards
  • 49 - 08-05-lessonarticle.pdf
  • 49 - Transparency and Accountability in AIAssisted Legal Work
  • 50 - Section Summary

  • 9 - AIDriven Document Automation
  • 51 - Section Introduction
  • 52 - 09-01-lessonarticle.pdf
  • 52 - Generating Legal Documents with AI Opportunities and Limitations
  • 53 - 09-02-lessonarticle.pdf
  • 53 - Creating AI Prompts for Legal Drafting Efficiency
  • 54 - 09-03-lessonarticle.pdf
  • 54 - Customizing AI Outputs for Specific Legal Needs
  • 55 - 09-04-lessonarticle.pdf
  • 55 - Managing Confidentiality and Data Sensitivity in AI Use
  • 56 - 09-05-lessonarticle.pdf
  • 56 - AIAugmented Proofreading and Review Techniques
  • 57 - Section Summary

  • 10 - Future Trends and Innovations in AI for Legal Compliance
  • 58 - Section Introduction
  • 59 - 10-01-lessonarticle.pdf
  • 59 - The Evolving Landscape of AI in Law and Compliance
  • 60 - 10-02-lessonarticle.pdf
  • 60 - Integrating AI with Legal Tech Solutions
  • 61 - 10-03-lessonarticle.pdf
  • 61 - The Role of Large Language Models in Future Legal Work
  • 62 - 10-04-lessonarticle.pdf
  • 62 - AIAssisted Decision Making in Compliance and Risk Management
  • 63 - 10-05-lessonarticle.pdf
  • 63 - Preparing for the Next Generation of AI Legal Tools
  • 64 - Section Summary

  • 11 - Practical Implementation Mastery
  • 65 - Section Introduction
  • 66 - 11-01-lessonarticle.pdf
  • 66 - Building AI Workflows for Legal Research and Compliance
  • 67 - 11-02-lessonarticle.pdf
  • 67 - Developing Custom Prompt Libraries for Legal Professionals
  • 68 - 11-03-lessonarticle.pdf
  • 68 - Measuring the Effectiveness of AI in Legal Tasks
  • 69 - 11-04-lessonarticle.pdf
  • 69 - Overcoming Resistance to AI Adoption in Legal Departments
  • 70 - 11-05-lessonarticle.pdf
  • 70 - Best Practices for Continuous Learning and AI Adaptation
  • 71 - Section Summary

  • 12 - Course Summary
  • 72 - Conclusion
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    مدت زمان: 434 دقیقه
    تاریخ انتشار: ۳ تیر ۱۴۰۴
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