Agentic AI for Enterprise Teams Training in Astana, Kazakhstan

This training provides enterprise teams with a comprehensive understanding of agentic AI, focusing on the design, development, and deployment of autonomous AI agents. Participants will explore core concepts such as agent architectures, multi-agent systems, reasoning, planning, and tool use. The course emphasizes practical applications for enterprise environments, including automation of complex workflows, intelligent decision-making, and scalable AI solutions. Through a blend of theoretical insights and hands-on exercises, teams will learn to harness agentic AI to improve operational efficiency and drive innovation.

Introduction to Agentic AI

• Defining agentic AI and its enterprise significance
• Key characteristics of autonomous agents
• Agent vs. traditional AI systems
• Real-world enterprise applications

Hands-on exercises

Agent Architectures and Design

• Core components of an AI agent
• Reactive, deliberative, and hybrid architectures
• Design patterns for enterprise agents
• Scalability and modularity considerations

Hands-on exercises

Reasoning and Planning for Agents

• Goal-oriented reasoning techniques
• Planning algorithms and strategies
• Handling uncertainty and dynamic environments
• Case studies in enterprise planning

Hands-on exercises

Multi-Agent Systems

• Collaboration and communication protocols
• Task allocation and coordination
• Conflict resolution in multi-agent setups
• Enterprise use cases for multi-agent teams

Hands-on exercises

Tool Integration and API Usage

• Enabling agents with external tools and APIs
• Building tool libraries for enterprise systems
• Security and authentication in agent-tool interactions
• Best practices for seamless integration

Hands-on exercises

Safety, Ethics, and Governance

• Ethical considerations in autonomous decision-making
• Safety mechanisms and fail-safes
• Compliance and regulatory landscape
• Building trustworthy agentic systems

Hands-on exercises

Deployment and Monitoring

• Strategies for production deployment
• Monitoring agent performance and behavior
• Continuous improvement and feedback loops
• Managing agent lifecycles in enterprise environments

Hands-on exercises

Future Trends and Enterprise Roadmap

• Emerging capabilities and research directions
• Scaling agentic AI across the organization
• Building an enterprise AI agent strategy
• Preparing for next-generation agent systems

Hands-on exercises