🧠
AI
Agentic AI
Build AI agents that can plan, use tools, call APIs, automate workflows and complete multi-step tasks.
Duration
10 weeks
Students
180+ enrolled
Rating
4.9
What You Will Learn
Understand agentic AI architecture
Build tool-using AI agents
Create multi-step automated AI workflows
Deploy practical agent-based applications
Curriculum
1
Agentic AI overview
What are AI agents?Agent vs chatbotPlanningTool usage
Lab: Compare chatbot and agent workflows
2
Agent architecture
PlannerMemoryToolsExecutor
Lab: Design a simple agent architecture diagram
3
Tool calling basics
FunctionsAPIsTool schemasResponses
Lab: Build an agent that calls a sample API
4
Memory and context
Short-term memoryLong-term memoryConversation contextState handling
Lab: Add memory to a simple AI assistant
5
Workflow automation
Task decompositionSequential stepsDecision logicRetries
Lab: Create an agent workflow for enquiry follow-up
6
RAG-powered agents
Knowledge baseRetrievalContext groundingAnswer validation
Lab: Build an agent that answers from documents
7
Multi-agent concepts
Specialized agentsCollaborationSupervisor agentUse cases
Lab: Design a multi-agent business workflow
8
Agent safety
GuardrailsValidationHuman approvalLogging
Lab: Add approval step before agent action
9
Deployment basics
Backend integrationEnvironment variablesMonitoringCost control
Lab: Deploy a basic AI agent API
10
Capstone project
Use case selectionArchitectureDemoInterview explanation
Lab: Build and present an Agentic AI project