Course Outline
Detailed Course Curriculum
9:30 - 9:45 (15 mins) | Technical Assessment & Overview
- Evaluation of enterprise AI maturity
- Review of implementation challenges
- Advanced needs mapping
9:45 - 10:45 (60 mins) | Enterprise AI Architecture
Advanced LLM Implementation (30 mins)
- Strategies for model selection
- Parameter optimization techniques
- Management of context windows
- Optimization of token economy
- Frameworks for response evaluation
Enterprise Integration Architecture (30 mins)
- Orchestration of multiple models
- Hybrid AI implementations
- Design of custom AI pipelines
- Integration of enterprise knowledge
- Implementation of vector databases
10:45 - 11:00 | Morning Break
11:00 - 12:00 | Advanced Implementation Strategies
Enterprise Content Systems
- Implementation of knowledge graphs
- Architecture for semantic search
- Integration of multi-modal AI
- Development of custom retrieval systems
Advanced Prompt Engineering
- Implementations of chain-of-thought techniques
- Optimization of few-shot learning
- Context engineering methods
- Architecture for prompt chaining
- Frameworks for output consistency
12:00 - 1:00 | Lunch Break
1:00 - 2:15 | Enterprise AI Solutions
Custom AI Solutions
- Architecture for enterprise chatbots
- Systems for document intelligence
- Advanced implementations of RAG (Retrieval-Augmented Generation)
- Custom AI assistants
- Automation of knowledge bases
Process Automation
- Orchestration of complex workflows
- Integration of multiple models
- Development of custom AI pipelines
- Automated quality assurance processes
- Systems for performance optimization
2:15 - 2:30 | Afternoon Break
2:30 - 3:45 | Strategic Implementation & Scaling
Enterprise Deployment
- Strategies for large-scale rollouts
- Change management frameworks
- Optimization of user adoption
- Systems for performance monitoring
- Architecture for scale-up
Advanced Use Cases
- Orchestration across multiple departments
- Cross-functional AI implementation
- Enterprise knowledge management
- Custom solution architecture
3:45 - 4:30 | Enterprise Strategy & Innovation
- Development of innovation roadmaps
- Frameworks for ROI optimization
- Strategies for risk mitigation
- Methodology for future-proofing
Key Benefits
1. Enterprise Optimization
- Custom AI solution architecture
- Advanced integration frameworks
- Enterprise-wide orchestration
- Performance optimization
- Scalability solutions
2. Strategic Innovation
- Custom AI implementation
- Advanced automation architecture
- Enterprise transformation
- Innovation frameworks
Essential Tool Stack
1. Enterprise AI Platforms
- Azure OpenAI Service
- Google Vertex AI
- Anthropic Claude Enterprise
- Custom LLM implementations
2. Advanced Integration Tools
- Vector databases (Pinecone, Weaviate)
- Enterprise search solutions
- Custom knowledge bases
- Advanced RAG frameworks
3. Development & Deployment
- LLMOps platforms for government
- Model monitoring tools for government
- Performance optimization suites for government
- Custom deployment solutions for government
4. Enterprise Solutions
- Custom AI assistants for government
- Advanced workflow systems for government
- Enterprise chatbot platforms for government
- Knowledge management systems for government
Requirements
- Proven experience in implementing advanced artificial intelligence solutions for government and other sectors
- Demonstrated understanding of enterprise architecture principles and practices
- Expertise in strategic planning to align technology initiatives with organizational goals
- Experience in managing change processes to ensure smooth transition and adoption of new technologies
Target Audience
- AI Implementation Specialists for government projects
- Digital Transformation Leaders in public sector organizations
- Enterprise Architects supporting government initiatives
- Innovation Officers focused on government technology advancements
- Technical Directors overseeing government IT programs
- Strategy Consultants providing guidance for government agencies
- Senior Technology Managers in public sector roles
Testimonials (2)
Hands on examples
Ryan Brookman - The Shaw Group Limited
Course - Introduction to Artificial Intelligence for Non-technical users
We got to use the tools.