Who Should Attend this Agentic AI Course?
This Agentic AI Training is suitable for professionals seeking practical knowledge of AI agents, workflow automation, and intelligent AI systems. The course is ideal for delegates looking to build AI-driven solutions, automate business processes, and strengthen modern AI development skills. It is particularly beneficial for:
- Software Developers
- AI Engineers
- Data Analysts
- DevOps Engineers
- Technical Project Managers
- Automation Engineers
Prerequisites for the Agentic AI Training
There are no formal prerequisites for attending this Agentic AI Course. However, basic familiarity with Python programming, APIs, and command-line tools will be beneficial for understanding practical labs and AI workflow exercises.
Agentic AI Course Overview
Agentic AI Course introduces delegates to intelligent AI agents, workflow automation, and modern AI engineering concepts. The training covers prompt engineering, memory systems, tool calling, Model Context Protocol (MCP), and multi-agent architectures.
Delegates will strengthen practical AI engineering, workflow automation, and orchestration skills used in modern organisations. The course helps professionals improve problem-solving, automation design, API integration, and intelligent system deployment capabilities.
This 2-Day course offered by The Knowledge Academy enables delegates to design, build, and deploy production-ready AI agents confidently. Delegates will gain hands-on experience using frameworks such as CrewAI and LangGraph for business automation and intelligent workflows.
Agentic AI Course Objectives:
- To understand Agentic AI foundations and orchestration principles
- To learn prompt engineering and memory management techniques
- To build AI agents using CrewAI and LangGraph frameworks
- To implement RAG and Model Context Protocol (MCP) workflows
- To integrate AI agents with APIs and external business systems
- To design multi-agent systems with delegation and supervision models
- To debug AI workflows using validation and evaluation techniques
- To deploy production-ready AI agents using cloud environments
After completing this training, delegates will be able to build intelligent AI agents and automate real-world workflows confidently. Delegates will also gain practical skills in AI orchestration, API integration, and multi-agent collaboration. This training further helps delegates apply responsible AI practices and deploy AI-driven solutions in business environments.