Building Agentic AI Agents Training in Astana, Kazakhstan

This course provides a hands-on exploration of designing, developing, and deploying agentic AI agents capable of autonomous decision-making, task execution, and collaboration. Participants will learn frameworks, architectures, and best practices for building agents that leverage Large Language Models (LLMs), planning, memory, and multi-modal capabilities for real-world applications.

Introduction to Agentic AI

• Evolution from chatbots to autonomous agents

• Core concepts: Reasoning, Memory, Planning, Tool-use

• Frameworks overview: LangChain, AutoGen, CrewAI, Semantic Kernel

Architectures & Planning

• Cognitive architectures for AI agents

• Adding short-term and long-term memory

• Planning & execution with ReAct and Chain-of-Thought frameworks

Multi-Modal & Business Applications

• Integrating text, image, and speech capabilities

• Real-world use cases: business automation, marketing, data analysis, workflows

• Security & compliance in agent deployment

Deployment & Future of Agentic AI

• Deployment strategies: cloud, enterprise, APIs

• Scaling AI agents in production

• Future trends: self-improving, collaborative, and ethical agents

Hands-on Exercises

Summary and Conclusion