AGENTIC AI Training Courses 
Agentic AI Training • Updated Aug 2026 


Master the fundamentals of Agentic AI & autonomous systems to build AI that plans, reasons & takes action

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Learn how to build Agentic AI that doesn't just respond—it plans, reasons, and takes action.

This instructor-led group training course is designed for developers, engineers, and AI enthusiasts who want practical, hands-on experience building Agentic AI applications. Through guided lessons, live demonstrations, coding exercises, and real-world projects, you'll learn how to design, develop, and deploy intelligent AI agents that can reason, use tools, automate workflows, and complete complex tasks.

  • Fundamentals of Agentic AI and autonomous systems
  • Prompt engineering and reasoning techniques
  • Tool calling, APIs, and workflow automation
  • Multi-agent architectures and orchestration
  • Memory, planning, and decision-making
  • Building real-world AI agent applications
  • Testing, evaluation, and deployment best practices
The Agentic AI Course Group gives you access to a growing collection of instructor-led Agentic AI training courses, learning materials, and practical resources. Instead of enrolling in a single topic, you'll learn the technologies, frameworks, and techniques used to build modern AI agents.
The course group includes training covering topics such as: Build AI Agents with Python, RAG & MCP Building AI Agents with Real APIs Building AI Agents and Chatbots LangChain for AI Agents Mastering LLMs for AI Agents Model Control Protocol (MCP) Building AI Agents with C# .NET & Semantic Kernel Agentic Coding with Claude Code Agentic Coding with GitHub Copilot AI Ethics, Governance & Responsible AI New Agentic AI courses are added as the technology evolves.
The training covers many of today's leading Agentic AI technologies, including: Python OpenAI APIs Anthropic Claude LangChain & LangGraph Model Context Protocol (MCP) Semantic Kernel Retrieval-Augmented Generation (RAG) Vector Databases Function & Tool Calling AI Agent Frameworks Multi-Agent Systems GitHub Copilot Claude Code Microsoft Copilot Studio REST APIs and workflow automation
Yes. The course group is regularly updated to reflect the latest developments in Agentic AI, including new frameworks, APIs, tools, and industry best practices.
Yes. The training is highly practical. You'll build AI agents that can reason, plan, call APIs, use external tools, retrieve knowledge with RAG, automate workflows, and solve real-world business problems.
Training is available through instructor-led online sessions, classroom training, and bespoke corporate delivery, depending on the course. Learning includes demonstrations, coding exercises, hands-on labs, and real-world projects.
Yes. As the Agentic AI ecosystem evolves, new courses covering emerging frameworks, models, tools, and best practices will be added to the course group to keep your knowledge current.
After completing the training, you'll have the skills to build a wide range of Agentic AI solutions, including: AI agents that can reason, plan, and complete multi-step tasks Intelligent chatbots and virtual assistants Retrieval-Augmented Generation (RAG) applications AI-powered workflow automation solutions Multi-agent systems that collaborate to solve complex problems AI applications that integrate with APIs, databases, and external tools Enterprise AI assistants for internal business processes Production-ready AI applications using modern Agentic AI frameworks These practical skills can be applied to automate business processes, enhance customer experiences, and develop intelligent AI solutions for real-world applications.
Yes. We provide private team training for organisations looking to upskill their developers, engineers, and technical teams in Agentic AI. Training can be delivered online or on-site and can be tailored to your team's goals, technology stack, and business requirements.
Absolutely. We offer tailored Agentic AI training programmes that can be customised to your organisation's needs. Whether you want to focus on AI agents, RAG, LangChain, MCP, Semantic Kernel, GitHub Copilot, Claude Code, or enterprise AI solutions, we can adapt the course content, hands-on labs, and projects to match your objectives.

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