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Agentic AI & Autonomous Systems Program Overview

Agentic AI & Autonomous Systems Program Course Description

Agentic AI is one of the most important and fastest-growing areas in Artificial Intelligence right now. Traditional AI chatbots mostly answer questions, but agentic systems go beyond that — they can plan tasks, call tools, browse information, interact with APIs, remember context, and execute workflows automatically. This is exactly what modern AI products are shifting toward in 2026, from AI customer support agents to autonomous business automation assistants.

In this program, you will learn how AI agents work internally, how they decide “what to do next”, and how they coordinate across multiple tools and multiple agents to complete complex goals. You’ll explore core agent building blocks like planning, memory, tool calling, function execution, and feedback loops. You will also learn how to build agents using popular frameworks such as LangChain and CrewAI, and how to design multi-agent systems where agents collaborate like real teams.

Instead of focusing only on concepts, this training is designed in a practical way — where every major module leads into hands-on development. You will build real AI assistants, workflow automation systems, and autonomous task agents that can work with your own APIs and datasets.

By the end of this Agentic AI & Autonomous Systems program, you’ll be able to design and deploy intelligent agents that work like autonomous workers — making you ready for next-generation AI engineering roles.

Agentic AI & Autonomous Systems Program Course Syllabus

  • What is Agentic AI and why it matters in 2026
  • Chatbots vs Agents vs Autonomous Systems
  • Agent Lifecycle: Observe ? Think ? Act
  • Core building blocks: tools, memory, planning, execution
  • Real-world examples of AI agents in products
  • Function calling and tool usage concepts
  • Designing tool schemas and safe inputs
  • Tool selection strategies
  • Structured outputs (JSON) and validation
  • Error handling, retries and fallbacks
  • Designing an agent goal and constraints
  • Planning vs Execution: how agents decide next steps
  • Agent memory: short-term and long-term
  • State handling and context management
  • Building a task-completion agent (hands-on)
  • Why multi-agent systems are powerful
  • Agent roles: planner, researcher, executor, reviewer
  • Collaboration patterns and communication protocols
  • Task decomposition and delegation strategies
  • Multi-agent workflow project (hands-on)
  • LangChain introduction for agent development
  • Tools, chains, and agents architecture
  • Memory modules in LangChain
  • Agent executor and routing
  • Build an API-enabled agent using LangChain
  • What is CrewAI and why it’s used
  • Creating agents, tasks and crews
  • Team workflow coordination
  • Quality control agent and reviewer patterns
  • Build a multi-agent “AI team” project
  • Autonomy levels: assistive to fully autonomous
  • Feedback loops and self-correction
  • Task planning with constraints and budgets
  • Safety guardrails and permission boundaries
  • Human-in-the-loop design patterns
  • Agent workflows for business automation
  • Connecting agents with APIs and databases
  • Event-based agents (triggers and actions)
  • Scheduling and long-running tasks
  • Build an automation workflow end-to-end
  • Assistant architecture: UI + Agent + Tools
  • Conversation memory and user personalization
  • RAG + Agent combination for knowledge assistants
  • Logging, monitoring, and evaluation
  • Deploying AI assistants (hands-on)
  • AI Customer Support Agent with Tools
  • Multi-Agent Research + Writer System
  • Autonomous Email/Task Automation Agent
  • AI Operations Assistant (Dev + Workflow)

Agentic AI & Autonomous Systems Program - Tutorials & Learning Guide

Welcome to the complete learning tutorials for Agentic AI & Autonomous Systems Program. These tutorials are designed in simple language with examples, practice questions, and real-world projects to help you master the course step by step.

📘 Course Tutorials
📖 Agentic AI & Autonomous Systems Program Tutorials & Learning

Understand the basics, scope, and career opportunities in Agentic AI & Autonomous Systems Program. Learn why this technology is important and how it is used in real industries.

🎯 Interview Preparation

Most asked interview questions and real-world scenarios from Agentic AI & Autonomous Systems Program to help you crack interviews.

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