Course Code: practim
Duration: 7 hours
Course Outline:

Detailed Course Curriculum
Technical Assessment & Overview
 

  • Enterprise AI maturity evaluation
  • Implementation challenges review
  • Advanced needs mapping

Enterprise AI Architecture
    Advanced LLM Implementation 

  • Model selection strategies
  • Parameter optimization
  • Context window management
  • Token economy optimization
  • Response evaluation frameworks

    Enterprise Integration Architecture 

  • Multi-model orchestration
  • Hybrid AI implementations
  • Custom AI pipeline design
  • Enterprise knowledge integration
  • Vector database implementation

 Advanced Implementation Strategies
Enterprise Content Systems
 

  • Knowledge graph implementation
  • Semantic search architecture
  • Multi-modal AI integration
  • Custom retrieval systems

Advanced Prompt Engineering
 

  • Chain-of-thought implementations
  • Few-shot learning optimization
  • Context engineering
  • Prompt chaining architecture
  • Output consistency frameworks

Enterprise AI Solutions
Custom AI Solutions

  • Enterprise chatbot architecture
  • Document intelligence systems
  • Advanced RAG implementations
  • Custom AI assistants
  • Knowledge base automation


Process Automation
 

  • Complex workflow orchestration
  • Multi-model integration
  • Custom AI pipeline development
  • Automated quality assurance
  • Performance optimization systems
     

Strategic Implementation &Scaling
       Enterprise Deployment
 

  • Large-scale rollout strategies
  • Change management frameworks
  • User adoption optimization
  • Performance monitoring systems
  • Scale-up architecture
    Advanced Use Cases
     
  • Multi-department orchestration
  • Cross-functional AI implementation
  • Enterprise knowledge management
  • Custom solution architecture

Enterprise Strategy & Innovation

  • Innovation roadmap development
  • ROI optimization frameworks
  • Risk mitigation strategies
  • Future-proofing methodology