Agentic AI Engineering

🔍 Course Overview

Build intelligent, autonomous agents that plan, reason, and act independently using tools like LangChain, LangGraph, OpenAI APIs, vector databases, and orchestration frameworks. This hands-on course blends advanced AI design with no-code and low-code tools for real-world deployment.

🧱 What You Will Learn

• Introduction to Agentic AI Concepts

• Prompt Engineering for Multi-step Tasks

• Tool Usage with Agents (APIs, Memory, Search)

• Working with LangChain & LangGraph

• Designing Task-Specific AI Agents

• Context Management with Vector Stores (e.g., FAISS, Pinecone)

• Autonomous Agents and Looping Structures

• Web Automation with Agents

• Multi-Agent Systems (Collaboration & Communication)

• No-Code Agent Building with tools like n8n

• Building AI Voice Agents with Webhooks & STT/TTS

• Project: Build and Deploy a Production-Ready Agent

🛠️ Tools & Technologies

• LangChain / LangGraph

• OpenAI / Claude / Gemini APIs

• Vector DBs: FAISS, Chroma, Pinecone

• Python & Node.js (basics)

• n8n, Zapier (Low/No-Code)

• Postman / API Clients

• Voice AI: Whisper, ElevenLabs, etc.

🗓️ Course Duration

• Total Duration: 8 Weeks

• Format: Hybrid (Offline + Online Support)

• Sessions: 2–3 per week

• Assignments + Capstone Project

👨‍🏫 Who Should Enroll

• AI/ML Enthusiasts

• Developers & Data Scientists

• No-code Builders

• Automation Engineers

• Startup Founders / Product Managers

🎓 Outcomes & Certification

• Build live AI agent demos

• Certificate of Completion from ETU Academy

• Portfolio-ready projects

• Opportunity for internships / advanced AI labs

💡 Limited Seats | Hands-On | Project-Based | Real-World Use Cases