Hands-on Agentic AI: Building Intelligent Agents

About this course

Transform your AI development capabilities with comprehensive training in agentic AI systems—the future of autonomous, intelligent applications. This 8-course program equips you to design, build, and govern multi-agent systems that collaborate, reason, and solve complex problems at scale. You'll master the Model Context Protocol (MCP) for standardized AI integration, implement communication protocols like A2A and ACP, and leverage LangGraph for stateful workflows. Through hands-on labs with frameworks like LangChain, CrewAI, and OpenAI's GPT Assistant API, you'll build agents that maintain context, coordinate tasks, and recover from failures. Learn from real-world implementations at companies like Microsoft, GitHub, Anthropic, and IBM while developing expertise in agent orchestration, tool integration, and memory management. The program emphasizes both technical excellence and responsible deployment, covering ethical governance, risk assessment, and compliance frameworks essential for enterprise adoption. Whether building research assistants, customer service automation, or complex decision-making platforms, you'll gain practical skills to create AI systems where multiple specialized agents work together to achieve emergent intelligence. Perfect for AI engineers, data scientists, and technical architects ready to lead the shift from isolated AI models to coordinated agent ecosystems that deliver measurable business value.

Course objectives

• develop expertise in agent orchestration
• create AI systems with specialized agents
• understand risk assessment and compliance frameworks for enterprise adoption