Presented by TektonAI

End-to-End Agentic AI Course

Master the world's most advanced AI orchestration stack. Build autonomous agents that plan, reason, and execute production-ready workflows.

Prerequisites Python (OOP) + English
Investment 15,000 INR
Duration 8 Months
Python OOP LangChain LangGraph CrewAI n8n AWS Cloud Docker

Course Status: Active

Classes already started in October.
Don't worry! All recordings are fully available. We provide dedicated mentors for any doubts. Every live class is recorded using the latest industry standards.

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3-4 Classes / Week

Target Audience

01

Beginners wanting to learn Python OOP and jump into AI engineering.

02

Developers pivoting from traditional dev to autonomous agent architectures.

03

Architects aiming to lead production-ready AI agent deployments.

Future Career Roles

AI Agent Engineer

Core Developer

LLM Ops Architect

Infrastructure

Automation Lead

Workflow Specialist

AI Solutions Lead

Enterprise Strategy

Master 10+ RAG Types

Theory, Working, and Code built from scratch.

Theory
Code
Simple RAG
Contextual RAG
Parent Doc Retrieval
Multi-Vector
Self-RAG
Corrective (CRAG)
Adaptive RAG
HyDE Architecture
GraphRAG
Long-Context

Agentic Engineering

Build Advanced AI Workforces from single-loop to multi-agent swarms.

Autonomous Systems
ReAct Agents
Tool-Calling
Multi-Agent Swarms
Plan & Execute
Hierarchical Crews
Self-Correction
Human-in-the-Loop
Stateful Bots
Researcher Agents
Voice Agents

Project Highlights

Real-world AI Agents you will architect from scratch.

01

AI Clinical Triage System

Building an intelligent healthcare guidance system for patient assessment and automated triage logic.

02

Career Coach & Resume Analyzer

Deep processing using LangChain & Streamlit to analyze professional profiles and provide coaching insights.

03

AI Career Advisor Bot

Integrating Telegram with n8n workflow automation to create a 24/7 responsive career assistant.

04

Auto-Portfolio Generator

System that autonomously generates a high-quality portfolio website directly from resume data.

And many more evolving industry-standard projects...

Our Teaching Philosophy

"

We are going to teach you in a totally different way. Each topic will be covered in detail with easier explanations and lots of hands-on projects.

At TektonAI, we teach from scratch. Projects grow with the market, ensuring your skills are always future-proof.

Need Assistance?

Reach out to our team for queries regarding enrollment, course structure, or custom mentoring.

Learning Path

Your journey from local scripts to autonomous cloud swarms.

Phase 01

M1 & M2: n8n + Git

Skills Gained:

Automation and professional collaboration foundation.

Phase 02

M3 & M4: LangChain + Smith

Skills Gained:

RAG pipeline architecture and trace debugging.

Phase 03

M5 & M6: LangGraph Mastery

Skills Gained:

Creating stateful agents with cyclic logic.

Phase 04

M7 & M8: FastAPI + Serve

Skills Gained:

Exposing agents as production-ready REST APIs.

Phase 05

M9 & M10: CrewAI Swarms

Skills Gained:

Multi-agent delegation and MCP mastery.

Phase 06

M11 & M12: Docker + AWS

Skills Gained:

Scaling AI architectures globally on AWS.

Phase 07

M13 & M14: Audio AI + UX

Skills Gained:

Building collaborative human-agent interfaces.

Phase 08

M15: Clawdbot Evolution

Skills Gained:

Orchestrating specialized bot-swarms for complex interactions.

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Course Syllabus

Every module contains 3-4 dynamic projects based on current market trends.

Hands-on Projects: Minimum 50+ total

M1: Complete n8n

  • • Automation Logic & Trigger Systems
  • • API Orchestration & Low-code workflows
Includes 3-4 Projects

M2: Git and GitHub

  • • Professional Team Collaboration
  • • CI/CD Workflow Automations
Includes 3-4 Projects

M3: LangChain (Adv) + RAG

  • • Build 10+ RAG Types (Self-RAG, Adaptive)
  • • Advanced Retrieval Strategies
Includes 3-4 Projects

M4: LangSmith Basic

  • • Core Trace Monitoring
  • • LLM Debugging Best Practices
Includes 3-4 Projects

M5: LangGraph (Adv)

  • • Stateful Cyclic Reasoning
  • • Multi-node persistence models
Includes 3-4 Projects

M6: LangSmith Advanced

  • • Dataset Evaluation & Testing
  • • Automated Quality Control
Includes 3-4 Projects

M7: FastAPI

  • • Asynchronous API Architectures
  • • Pydantic Schema Validation
Includes 3-4 Projects

M8: LangServe (Adv)

  • • Runnable Endpoints for Production
  • • SSE Real-time Streaming
Includes 3-4 Projects

M9: Crew AI (Adv) Swarms

  • • Agent Task Delegation
  • • Hierarchical Multi-agent process
Includes 3-4 Projects

M10: MCP Hub & A2A

  • • Model Context Protocol (MCP)
  • • Agent-to-Agent Communication
Includes 3-4 Projects

M11: Docker

  • • Optimized Image Creation
  • • Volume Persistence Layers
Includes 3-4 Projects

M12: AWS Cloud

  • • Global Serverless Deployment
  • • Scaling Agents Globally
Includes 3-4 Projects

M13: Audio AI Synthesis

  • • ElevenLabs/Murf Voice Integration
  • • Voice-first Agent UX
Includes 3-4 Projects

M14: OpenCanvas UX

  • • Collaborative Agent Interfaces
  • • Interactive stateful workspaces
Includes 3-4 Projects

M15: Clawdbot Swarms

  • • High-Frequency Web Orchestration
  • • Autonomous Intelligent Bot swarms
Includes 3-4 Projects

Course FAQs

Can I join if I missed the October classes? +

Absolutely! All previous sessions are fully recorded and organized. You will also get dedicated mentor support to help you catch up on any doubts.

How does the 10-video refund policy work? +

We want you to be 100% happy. You can watch the first 10 core technical videos—if you feel the style isn't for you, we give a full refund. No questions asked.

What projects will I build? +

Instead of static projects, we build what the industry needs right now. You will build 50+ projects including Clinical Triage systems, Career Coach bots, and auto-portfolio generators.

Enroll with TektonAI

Master Agentic AI from scratch. Industry Certification included.

Detailed 100+ page curriculum PDF delivered instantly after registration.

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