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Agentic AI Mastery, Best Agentic AI Program To Build AI Agents With Modern AI Tools (n8n, CrewAi, Replit, Github Copilot, Claude, Manus, Emergent AI)
Master Agentic AI with n8n, CrewAI, Replit, GitHub Copilot, Claude, Manus, and Emergent AI. Build real-world AI agents and automation systems.
Overview
Course Overview
Agentic AI Mastery is a practical, project-focused program designed to help you learn how to build and deploy AI agents using modern AI tools and frameworks. Start with the fundamentals of Agentic AI and workflow automation, then progress into real-world AI applications using n8n, CrewAI, Replit, GitHub Copilot, Claude, Manus, Emergent AI, LangChain, and LangGraph. You’ll learn how to design autonomous multi-agent systems, create AI-powered applications, automate workflows, and turn ideas into deployable AI solutions. The program covers practical development, AI-assisted coding, intelligent content platforms, AI hiring automation, and decision-making systems. With hands-on projects and modern tools, this course is suitable for students, developers, entrepreneurs, professionals, and AI enthusiasts who want to build practical AI agents and automation systems.
Course Information
- Duration
- 8h 12m
- Lessons
- 41 Lessons
- Language
- English, Hindi
- Files
- 6 files
- Last Update
- Oct 1, 2026
Choose Access Plan
Curriculum
Course Module
- Meet the Modern AI Tools Used in This Agentic AI Program 01:50
- AI Agents vs Agentic Systems, Where Automation Begins(with n8n) 14:06
- Why n8n? Understanding Its Architecture, Advantages, and Limitations 05:44
- Navigating the n8n Platform and Docker Installation 01:27
- Installing and Running n8n with Docker (Complete Setup Guide) 18:41
- Building Your First n8n Automations and Workflow Logic 19:09
- Building a Real-World WhatsApp Food Ordering Automation (Designing n8n Workflows) 11:03
- Integrating Google Gemini for AI Processing and Executing the Final Workflow 11:30
- Deploying and Managing n8n Workflows for Real-World Automation 05:22
- Introduction to CrewAI and How Multi-Agent Systems Work 16:04
- Real-World Applications of CrewAI in Automation and AI Systems 15:41
- Building a Trip Planner Agent Using CrewAI (Project Setup & Architecture) 10:36
- Coding the Trip Planner Agent, Implementation and Execution 22:09
- Introduction to LangChain and LangGraph for Agentic AI 12:02
- LangSmith Explained, Features, Use Cases, and Comparison with LangChain and LangGraph 11:00
- Live Project, Building the R2C Multi-Agent System from a Basic Chatbot 22:34
- Final Project Build, Creating a Multi-Agent System with Coordinated Agents 23:32
- Introduction to Replit, Its Architecture, and Competing Platforms 11:10
- Replit in Practice, Evolution, Pros and Cons, and Starting the AI Interview Coach Project 09:40
- Building the AI Interview Coach App, Creating the MockMaster Agent in Replit 17:11
- Adding Authentication and User Security to the Application 02:04
- Launching and Hosting Your AI App on Google for Free 04:44
- Introduction to Emergent AI, Core Concepts, Capabilities, and Future Potential 12:48
- Designing a Modern Course Landing Page with Interactive Features 14:04
- Refining the Project Interface with Frontend Enhancements Using Emergent AI 09:03
- Integrating a Claude Sonnet-Powered Chatbot for Real-Time Query Resolution 01:17
- Adding Visual Polish with SVG Animations and Interactive Card Design 02:59
- Claude Explained Architecture, Capabilities, and Competitive Advantages 17:14
- Designing the AI Decision Engine Logic, Prompting, and Multi-Perspective Reasoning 17:16
- Implementing Backend Logic and Designing the User Experience 20:25
- Integrating API and Deploying the Decision Engine 13:24
- Exploring Manus, Features, Workflow, and Role in Agentic AI 08:59
- Showcasing Viral Scripts Hub, An AI-Powered Script Generation Tool 03:31
- Creating Viral Scripts Hub, An AI Powered Script Generation Platform for TikTok, Instagram, YouTube Videos 23:54
- Understanding GitHub Copilot in VS Code and Its Development Workflow 12:51
- Kickstarting a Project with AI-Assisted Coding in Copilot 07:44
- Developing a Personalized Developer Dashboard 05:22
- Finalizing and Reviewing the Developer Dashboard Project 03:01
- Designing an AI Hiring Agent for Resume Screening and Candidate Shortlisting 13:24
- Implementing Backend Logic and Building the Recruitment Dashboard 11:32
- Finalizing the Hiring Agent and Demonstrating Real-World Recruitment Use Case 06:13
- Agentic AI Skills Test 10 questions
Outcomes
What you'll learn
- ✓ Build AI Agents & Agentic AI Workflows
- ✓ Automate Tasks with n8n & AI
- ✓ Create Multi-Agent Systems with CrewAI & LangChain
- ✓ Build AI Apps with Replit & Emergent AI
- ✓ Use Claude, Manus & GitHub Copilot
- ✓ Build Real-World AI Projects
- ✓ Deploy AI Applications & Automations
- ✓ Create AI-Powered Hiring & Decision Systems
After You Start
You'll get
- • Ready-to-Build AI Projects
- • Modern AI Tools & Frameworks
- • Community & Learning Support
- • Agentic AI Mastery Book
Course Completion Certificate issued under an ISO 9001:2015 & AICTE integrated training program
Course Completion Certificate
Showcase your achievement on your resume. This certificate validates your skills and helps you stand out to employers.
- • Gain engagement & optimize your LinkedIn with the shareable certificate
- • Verified by QR via YTLC Scholars' site
- • Issued instantly on course completion
Course Information
- Duration
- 8h 12m
- Lessons
- 41 Lessons
- Language
- English, Hindi
- Files
- 6 files
- Last Update
- Oct 1, 2026
Choose Access Plan