Agentic AI & Workflow Automation
Learn how modern AI agents work and how to build systems that can use tools, access knowledge and automate multi-step IT and business workflows.
About this course
Course Syllabus Module 1 — From Generative AI to Agentic AI Understand the difference between chatbots, AI assistants and AI agents. Learn the concepts of goals, reasoning, actions and autonomous workflows. Explore practical enterprise Agentic AI use cases. Module 2 — Building Blocks of AI Agents Understand models, instructions, context, tools and memory. Learn how agents decide what actions to perform. Understand structured outputs and reliable agent interactions. Module 3 — Tool Calling & APIs Learn how agents interact with external tools and applications. Connect agents to APIs, databases and business systems. Build workflows where AI selects and executes appropriate tools. Module 4 — RAG & Knowledge-Driven Agents Connect agents with documents and enterprise knowledge. Understand embeddings, retrieval and vector search. Build agents that retrieve information before reasoning and acting. Module 5 — Agentic Workflow Design Break complex business processes into agentic steps. Add decisions, branching, validation and human approvals. Understand when deterministic workflows are better than autonomous agents. Module 6 — Workflow Automation Automate repetitive IT, data and business processes. Combine AI reasoning with traditional workflow automation. Build practical workflows involving messages, documents, data and APIs. Module 7 — MCP & Modern Agent Integration Understand the purpose and architecture of Model Context Protocol (MCP). Learn how AI applications connect with tools and data through standardized interfaces. Explore practical MCP-based integration patterns. Module 8 — Multi-Agent Systems Understand specialized agents and agent collaboration. Learn orchestration, delegation and agent-to-agent workflow concepts. Identify scenarios where multi-agent architecture provides genuine value. Module 9 — Security, Guardrails & Responsible Agents Understand prompt injection, excessive permissions and unsafe tool execution. Design approvals, validation and access controls around agent actions. Learn monitoring, observability and human-in-the-loop patterns. Module 10 — Hands-on Agentic AI Project Identify a workflow suitable for Agentic AI automation. Build an agent that uses knowledge, reasoning and external tools. Design the final solution with security, monitoring and human oversight.