Agentic AI Frameworks and Workflow Automation Course in Gurgaon
AI is the future innovation with Agentic AI tools and frameworks (n8n, Auto-Gen) for intelligent automation. We are delivering this training in Gurgaon where-in core Gen AI principles using patterns like multi-agents, reflection & others will be taught using hands-on training to become a Gen AI Engineer.
- Get mastery in building Agentic AI workflows for intelligent automation & to drive key businesses powered through agentic ai frameworks like n8n & others.
- Experience blended learning through interactive offline and online sessions.
- Job Oriented Training Course
- Course Duration - 3 months
- Get Exposure from Industry Experts
Train using realtime course materials using online portals & trainer experience to get a personalized teaching experience.
Active interaction in sessions guided by leading professionals from the industry
Gain professionals insights through leading industry experts across domains
24/7 Q&A support designed to address training needs
Gen AI Skills Hiring
Agentic AI Workflows and Automation
Kickstart your carrer in AI with certification in Generative AI Engineer course, that will help in shaping the carrer to the current industry needs that need automation using intelligent workflows like n8n, Microsoft AutoGen ,LangGraph & others in every domain & sphere of the industry that will allow organizations to boost decision making & also thrive business growth with improved customer satisfaction.
- Benefit from ongoing access to all self-paced videos and archived session recordings
- Success Aimers supports you in gaining visibility among leading employers
- Industry-paced training with realtime scenarios using Agentic AI frameworks/tools (n8n, Microsoft AutoGen, Langchain, LangGraph, AWS Bedrock, Azure Open AI & others) for intelligent automation.
- Real-World industry scenarios with projects implementation support
- Live Virtual classes heading by top industry experts alogn with project implementation
- 24/7 Q&A support sessions
- Job Interview preparation & use cases
Explain Gen AI Engineer?
AI Engineers automate business processes via AI development frameworks (Agentic AI) like n8n, Microsoft Auto Gen, Lang chain, Lang Graph, AWS Bedrock, Azure Open AI and others for intelligent automation that will allow organizations to boost decision making and also thrive business growth with improved customer satisfaction. AI engineers build optimized workflows, deployment and maintain the AI development life cycle to deliver high-précise solutions to the clients using Agentic AI frameworks/workflow builders.
Role of Gen AI Engineer?
Generative AI Engineers manages the end-to-end AI development life cycle using Agentic AI frameworks and intelligent workflow strategies.
Responsibilities include:
- Agentic AI Tools Adoption & automation using patterns like RAG, Tools, Reflection and others
- Continuously exploring new AI based frameworks/tools to build optimized workflows
- Deploying AI model within cloud infrastructure securely & seamlessly.
- Develop and Design AI workflows that meets business needs with automation scripts
- Success Aimers helps aspiring AI professionals to build, deploy, manage these Agents effectively seamlessly and to scale as per business needs.
Who should opt for Gen AI Engineer course?
Gen AI course accelerates/boost carrier in AI & technology-driven organizations
- AI & Application Engineers – Develop Agentic AI workflows to automate business processes.
- Data Engineers – Implementing Data Pipelines using AI
- AI Developers – Automated workflows using Agentic AI frameworks/tools
- AI Leaders – Leading AI Governance and initiative within enterprise.
- Cloud and Infrastructure Engineers – Deploying AI developed applications seamlessly and effectively.
Prerequisites of Gen AI Engineer Course?
Prerequisites required for the Generative AI Engineer Certification Course
- Below is the prerequisite to become a successful AI Professional:
- High School Diploma or a undergraduate degree
- Python Programming language
- IT Foundational Knowledge along wit Data Science and Software Development skills
- Knowledge of Cloud Computing Platforms like AWS, AZURE and GCP will be an added advantage.
Kind of Job Placement/Offers after Gen AI Engineer Certification Course?
Job Career Path in Generative AI and N8N Automation
- Generative AI Engineer – Develop & Deploy AI developed solutions/applications using agentic frameworks/tools
- AI/ML Engineer – Build context-aware, Enterprise ready AI systems.
- AI Automation Engineer – Design, Developed and build automated workflows to drive key business processes/decisions
- Cloud AI Engineer / AI Cloud Architect – Deploy AI Solutions seamlessly and effectively across enterprises with AI Governance strategy
- AI Model Deployment Engineer – Automate Model Deployment and AI Life cycle management via ML Ops pipeline and Agentic AI Frameworks
| Training Options | Weekdays (Mon-Fri) | Weekends (Sat-Sun) | Fast Track |
|---|---|---|---|
| Duration of Course | 2 months | 3 months | 15 days |
| Hours / day | 1-2 hours | 2-3 hours | 5 hours |
| Mode of Training | Offline / Online | Offline / Online | Offline / Online |
Agentic AI Frameworks and Workflow Automation Course Curriculum
Start your carrer in AI with certification in Generative AI Engineer course, that will help in shaping the carrer to the current industry needs that need automation using intelligent
workflows like n8n, Microsoft AutoGen ,LangGraph & others in every domain & sphere of the industry that will allow organizations to boost decision making & also thrive business growth with improved customer satisfaction.
AI Agents Introduction
- Introduction
- Building AI Agent using LLM Model & Function Calling (Tools)
- AI Agent Architecture
Agents Types
- Reflection Agents
- Tool-based Agents
- Multi-Agents
- Reasoning/Think Agents
- Domain-Specific Agents
Top AI Agents
- chatGPT Agents
- Enterprise Agents
- DevOps Agents
- Sales/Marketing Agents
- CRM/ERP Agents
- Contact Center Agents (CCC)
- Travel Agents
- Healthcare Assistants
- Personalized Agents
AI Agents Overview & key characteristics
- AI Agents - Demo of Planning Capability
- Tools and Actions implementation within AI Agents
- Memory within AI Agents
- Guardrails and Communication - AI Agents
- Multi-agent Collaboration/Orchestrator
Generative AI Vs Agentic AI
- Differentiating Gen AI vs Agentic AI
- Architecture - Gen AI vs Agentic AI
- Reasoning Capability - Gen AI vs Agentic AI
Developing Single Agent & Multi-Agent Apps using n8n Automation
- Building workflows using Agentic AI Frameworks (LangGraph, n8n)
- Execute & monitor AI workflows
- Test workflow execution using LangSmith
Build Agents using Amazon Bedrock
- Building a RAG Pipeline
- Architectural Diagrams & Workflow Setup
- Embedding Models & RAG Workflow with UI (Streamlit)
Use Case 1 - Hotel Booking Agent
- Introduction to LangChain & Main Components
- LangChain Setup, Chat Models, Prompt Templates
- Data Preparation: TextLoaders, Splitting & Cleaning
- Embeddings & FAISS VectorStore Integration
- Chains, RAG QA Bots, and End-to-End RAG Systems
Agentic AI Patterns
- Reflection Pattern
- Tool Pattern
- Planning
- Multi-Agent Pattern
Top Frameworks available to build AGENTIC AI Workflows
AutoGen
- Introduction
- AutoGen Deep DIVE
- AI Agentic Design Patterns
- The Reflection Pattern
- Reflection Design Pattern Workflow Overview
- Adding the Reflection and Orchestration parts to the Workflow
- Tool Use Pattern
- Trip Planner Workflow
LangGraph
- Build AI Agents with Lang Graph
- Lang Graph – Overview & Key Concepts
- Lang Graph Core Concepts – Simple Flow Diagram
- Lang Graph - Data and State – Overview
- Building a Simple Agent with Lang Graph
- Lang Graph Simple Bot – Streaming Values – ConsoleApp
- Adding Tools to our Basic Lang Graph Agent
- Adding Memory to our Agent State
- Adding Human-in-the-Loop to the AI Agent
Crew AI (Low Code Framework)
- Crew AI Framework to build AI
- Building our First AI Agent
- Connect Open-Source Models like Llama-3 with Crew AI
- Sales Agent
- Deep Research Agent with DeepSeek-R1
- AI Social Media Agent
- AI Agent for Nutrition
AutoGPT
- Auto GPT Framework to build AI
- Building our First AI Agent
- Connect Open-Source Models like Llama-3 with Auto GPT
IBM BEE
- IBM’s Bee Agent Framework + Groq
- Building our First AI Agent
- Connect Open-Source Models like Llama-3 with Auto GPT
N8N Workflow (No Code Framework)
- Getting Started with n8n, AI Agents, and AI Automations
- Build our first n8n workflow Step-By-Step
- Build our First Automations & AI Automations in n8n
- Helping Maria Build their First Telegram Chatbot with n8n
- Exploring Node Types and Categories in n8n
- Understanding Triggers in n8n
- Introduction to Webhooks
- How n8n works with Data
- AI Agents, AI Assistants, RAG, Multi-Agent Systems, and AI Automations
- AI Agents, AI Assistants, RAG, Multi-Agent Systems, and RAG Explained in n8n
- Professional LinkedIn Post Generator
- Create an AI Story Generator with n8n
- Create a Fully Automated Onboarding System for New clients
- Create an AI Agent that track our Finances
- Build a powerful Real Estate AI Agent (Step-by-Step Guide)
- n8n Automation turns any Product Image into Viral Ads!
- RAG & Research AI Agents
- How to build an AI Agent that remembers everything (Supabase VB + PostgreSQL)
- MCP (Model Context Protocol) & How to use it for AI Agents in n8n
- Create our MCP Server to turn AI Assistant into AI Agent (Claude & ChatGPT)
- MCP Toolkit – Learn how to use verified MCP Servers through Docker Desktop App
- Conversational Flow – Receptionist AI Voice Agent (Physical Therapy Clinic)
- SEO Agent for Keyword Research & Article Creation
Amazon Bedrock Multi Agent Framework
- Bedrock Overview
- Amazon Bedrock Architecture
- Amazon Bedrock – Inference Parameters – Temperature
- Amazon Bedrock – Pricing
- Builder Tools – Knowledge Bases (KB)
- Use Case – Multi-Agentic Travel Agent using Bedrock
- Multi Modal AI Agent with Tools, Multi-Hop and ReAct Prompt
Real-Estate Lead Enhancement System
Build a Real Estate Lead Enhancement System, covering all two main workflows.
The system processes real estate leads through AI-powered behavioral analysis, market intelligence gathering, intelligent agent routing, and automated communication.
Project Description :
• Workflow 1: Agent/Client onboarding and synchronization between Google Sheets and Salesforce
This workflow handles the synchronization of agent and client data between Google Sheets and Salesforce, typically triggered manually when new agents or clients are onboarded.
• Workflow 2: Main lead processing pipeline with three distinct phases
This workflow handles property search, market research, intelligence analysis, and intelligent agent routing based on geography and specialization.
Business Logic: Pass-through merge node that forwards consolidated property data to market intelligence processing pipeline. Acts as workflow transition point between property acquisition and analysis phases.
Project 2
Travel Management System
Build a Travel Management System, consists of multiple Agents working collaboratively to create a successful Trip Plan when asked by the user
The system processes the user prompt when user asked “Book me a trip for the month of December for Paris or something like that
Project Description :
• Workflow : Agent/Client onboarding and synchronization between Google Sheets and Salesforce
This workflow handles the synchronization of agent and client data between Google Sheets and Salesforce, typically triggered manually when new agents or clients are onboarded.
• Workflow 2: It consist of multiple Agents, one is the Planner Agent that will pal the trip & create the travel itineraries like hotel information, optimized route plan, hotel amenities, weather information & other details. The next agent Booking Agent handle the booking queries once Planning Agent retrieve all the information and there will be a HITL (Human in the Loop) before actually booking is done by the system.
Hours of content
Live Sessions
Software Tools
After completion of this training program you will be able to launch your carrer in the world of AI being certified as Generative AI Certified Professional.
With the AI Certification in-hand you can boost your profile on Linked, Meta, Twitter & other platform to boost your visibility
- Get your certificate upon successful completion of the course.
- Certificates for each course
- Gen AI
- Agentic AI
- N8N
- Agentic AI Frameworks
- Azure AI
- AWS Bedrock
- AutoGen
- LangChain
- LangGraph
- LangChain
- Autonomous Agents
- Vector DB
- Model Context Protocol (MCP)
- AI Governance

45% - 100%

Designed to provide guidance on current interview practices, personality development, soft skills enhancement, and HR-related questions

Receive expert assistance from our placement team to craft your resume and optimize your Job Profile. Learn effective strategies to capture the attention of HR professionals and maximize your chances of getting shortlisted.

Engage in mock interview sessions led by our industry experts to receive continuous, detailed feedback along with a customized improvement plan. Our dedicated support will help refine your skills until your desired job in the industry.

Join interactive sessions with industry professionals to understand the key skills companies seek. Practice solving interview question worksheets designed to improve your readiness and boost your chances of success in interviews

Build meaningful relationships with key decision-makers and open doors to exciting job prospects in Product and Service based partner

Your path to job placement starts immediately after you finish the course with guaranteed interview calls
Why should you choose to pursue a Gen AI/Agentic AI course with Success Aimers?
Success Aimers teaching strategy follow a methodology where in we believe in realtime job scenarios that covers industry use-cases & this will help in building the carrer in the field of AI & also delivers training with help of leading industry experts that helps students to confidently answers questions confidently & excel projects as well while working in a real-world
What is the time frame to become competent as a Gen AI engineer?
To become a successful Gen AI Engineer required 1-2 years of consistent learning with dedicated 3-4 hours on daily basis.
But with Success Aimers with the help of leading industry experts & specialized trainers you able to achieve that degree of mastery in 6 months or one year or so and it’s because our curriculum & labs we had formed with hands-on projects.
Will skipping a session prevent me from completing the course?
Missing a live session doesn’t impact your training because we have the live recorded session that’s students can refer later.
What industries lead in Gen AI implementation?
Manufacturing
Financial Services
Healthcare
E-commerce
Telecommunications
BFSI (Banking, Finance & Insurance)
“Travel Industry
Does Success Aimers offer corporate training solutions?
At Success Aimers, we have tied up with 500 + Corporate Partners to support their talent development through online training. Our corporate training programme delivers training based on industry use-cases & focused on ever-evolving tech space.
How is the Success Aimers Gen AI Certification Course reviewed by learners?
Our Gen AI Engineer Course features a well-designed curriculum frameworks focused on delivering training based on industry needs & aligned on ever-changing evolving needs of today’s workforce due to AI.
Also our training curriculum has been reviewed by alumi & praises the thoroguh content & real along practical use-cases that we covered during the training. Our program helps working professionals to upgrade their skills & help them grow further in their roles…
Can I attend a demo session before I enroll?
Yes, we offer one-to-one discussion before the training and also schedule one demo session to have a gist of trainer teaching style & also the students have questions around training
programme placements & job growth after training completion.
What batch size do you consider for the course?
On an average we keep 5-10 students in a batch to have a interactive session & this way trainer can focus on each individual instead of having a large group
Do you offer learning content as part of the program?
Students are provided with training content wherein the trainer share the Code Snippets, PPT Materials along with recordings of all the batches
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