Course Overview – AI Automation & Intelligent Workflows (6 Months)
The AI Automation & Intelligent Workflows program is a comprehensive 6-month industry-focused training course designed to help learners build intelligent automation systems using modern AI tools and workflow platforms.
This program covers n8n workflow automation, LangChain-based AI agents, Ollama integration, vector databases (FAISS/ChromaDB), REST APIs, and Retrieval-Augmented Generation (RAG) systems. Learners gain hands-on experience in designing, debugging, and deploying AI-powered business automation solutions.
Ideal for developers, automation enthusiasts, DevOps professionals, and aspiring AI automation consultants, this program bridges the gap between traditional automation and intelligent AI-driven workflows.
What Is This Program All About?
This program focuses on designing structured automation workflows that integrate AI decision-making, multi-step execution, and document-based intelligence. You will learn how to build end-to-end AI systems capable of processing data, making decisions, and executing business tasks automatically.
You’ll learn to:
- Design complex automation workflows using n8n
- Integrate REST APIs and manage structured data flows
- Build custom AI agents using LangChain and LLMs
- Implement RAG systems using vector databases
- Create document ingestion and query-response pipelines
- Automate repetitive business processes using AI
- Develop and present an end-to-end AI automation capstone project
"Intelligent workflows combine automation with AI reasoning — creating systems that can think, decide, and execute autonomously."
Tools & Technologies Covered
| Technology |
Purpose |
| n8n |
Workflow automation platform |
| LangChain |
AI agent development |
| Ollama |
Local LLM integration |
| FAISS / ChromaDB |
Vector database for RAG systems |
| REST APIs |
System integration & data exchange |
| RAG Architecture |
High-accuracy document Q&A systems |
Industry-Focused Learning Approach
- Hands-on workflow and automation design
- AI-assisted debugging and optimization
- Real-world automation case studies
- Multi-step task execution pipelines
- Industry-style capstone project demonstration
Outcome: By the end of this program, learners will confidently design intelligent AI automation systems, implement RAG architectures, and deploy scalable workflow solutions aligned with industry needs.
Why Choose AI Automation & Intelligent Workflows?
AI automation is transforming how businesses operate. From startups to enterprises, organizations are integrating
AI agents, workflow automation, and retrieval-augmented systems to reduce manual effort and increase efficiency.
This 6-month industry-focused program equips you to design intelligent workflows using
n8n, LangChain, Ollama, Vector Databases, and REST APIs, enabling you to build scalable AI-powered automation systems.
The future belongs to professionals who can design AI systems that think, decide, and execute tasks autonomously.
Career Map – Your AI Automation Journey
Foundation Level
Automation & Workflow Basics
AI Automation & Intelligent Workflows (6 Months)
Technical Solutions Architect
Placement Assistance & Career Support
- Resume building for AI Automation roles
- Capstone automation project portfolio guidance
- Mock interviews on AI workflow architecture
- Real-world case study preparation
- Job referral assistance where applicable
India-Focused Salary Insights
| Experience Level |
Role Example |
Average Salary (INR) |
| Fresher (0–1 Year) |
AI Workflow Engineer |
₹6 – 10 LPA |
| 1–3 Years |
AI Automation Developer |
₹10 – 18 LPA |
| 3–5 Years |
AI Systems Engineer |
₹18 – 30 LPA |
| 5+ Years |
AI Solutions Architect |
₹30 – 60+ LPA |
Course Curriculum: AI Automation & Intelligent Workflows (6 Months)
This 6-month structured program focuses on workflow automation, AI agents, RAG systems, vector databases, and building scalable intelligent automation systems.
Month 1 – Automation Fundamentals & n8n Mastery
- Automation fundamentals & workflow design
- Business automation use cases
- n8n interface & node setup
- Workflow logic creation
- Error handling & debugging strategies
Month 2 – API & Data Flow Handling
- Triggers and actions
- REST API integration
- Data transformation inside workflows
- Prompting AI for workflow decisions
- Text generation within automation nodes
Month 3 – AI Inside Workflows & Logging
- Decision-based automation
- Logging & monitoring strategies
- AI-based response generation
- Optimizing workflow performance
Month 4 – Applied AI Agents
- LangChain fundamentals
- Designing agent prompts
- Tool calling concepts
- Multi-step automation logic
- Task-based execution pipelines
Month 5 – RAG Systems & Vector Databases
- Embeddings & vector databases (FAISS / ChromaDB)
- Query-response pipelines
- Document ingestion workflows
- Prompt tuning for high-accuracy Q&A
Month 6 – Capstone Project
- End-to-end AI automation system design
- Automated debugging strategies
- Project documentation & reporting
- Business demo & system deployment
Outcome: Learners will design complex automation workflows, build AI agents using LangChain, implement RAG systems with vector databases, and automate real-world business processes using AI.