AI Infrastructure Scaling and Governance with MCP Certification 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 and 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 and others.
- Experience blended learning through interactive offline and online sessions.
- Job Oriented Training Course
- Course Duration - 3 months
- Get Trained from Industry Experts
Train using realtime course materials using online portals and trainer experience to get a personalized teaching experience.
Trained through leading industry professionals to get realtime project exposure
Realtime Industries Project exercises
Gain professionals insights through leading industry experts across domains
Personalized Q&A support
24/7 Q&A support designed to address training needs
AI Infrastructure Scaling and Governance with MCP Certification
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, Lang Graph and others in every domain and sphere of the industry that will allow organizations to boost decision making and also thrive business growth with improved customer satisfaction.
- Self-paced videos and training materials with archived session recordings
- Success Aimers targets industry employers to gain visibility
- Industry-paced training with realtime scenarios using Agentic AI frameworks/tools (n8n, Microsoft AutoGen, Langchain, Lang Graph, 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 and use cases
Explain Gen AI Engineer?
AI Engineers automate business processes via AI development frameworks (Agentic AI) like n8n, Microsoft AutoGen, Langchain, LangGraph, AWS Bedrock, Azure Open AI & others for intelligent automation that will allow organizations to boost decsion making & also thrive business growth with improved customer satisfaction. AI engineers build optimized workflows, deployment & maintain the AI development lifecycle to deliver high-précised 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 lifecycle using Agentic AI frameworks and intelligent workflow strategies.
Responsibilities include:
- Agentic AI Tools Adoption & automation using patterns like RAG ,Tools ,Reflection & others
- Continuously exploring new AI based frameworks/tools to build optimized workflows
- Deploying AI model within cloud infrastructure securly & seamlessly.
- Develop & Design AI workflows that meets business needs with automation scripts
- Success Aimers helps aspiring AI professionals to build, deploy, manage these Agents effectively seamlessly & 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 & initiative within enterprise.
- Cloud & Infrastructure Engineers – Deploying AI developed applications seamlessly & 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 & Software Development skills
- Knowledge of Cloud Computing Platforms like AWS, AZURE & GCP will be an added advantage.
Kind of Job Placement/Offers after Gen AI Engineer Certification Course?
- Job Carrer Path in Generative AI & 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 & build automated workflows to drive key business processes/decisions
- Cloud AI Engineer / AI Cloud Architect – Deploy AI Solutions seamlessly & effectively across enterprises with AI Governance strategy
- AI Model Deployment Engineer – Automate Model Deployment & AI Lifecycle management via MLOps pipeline & 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 |
Gen AI Engineer with MCP Certification 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.
Introduction – Overview, Tips & Understanding the Model Context Protocol (MCP)
- The Model Context Protocol Explained: Give LLMs Tools, Prompts & Resources
- Prompt Engineering Basics & System Prompts
MCP Basics in Claude Desktop & Setup : Node JS, Python & NVM Installation
- Model Context Protocol (MCP): Official Documentation Overview
- Integrate MCP into Claude Desktop via JSON File
- Discover More MCP Servers & Clients on GitHub, MCP.so & more
- Set Up Multiple MCP Servers Easily with the MCP Installer + Debugging via Logs
Integrating MCP in Cursor, Vibe Coding & API Keys
- Connect Cursor to Any MCP Server: Use Zapier for Free, GitHub, Slack & More
- Create API Keys: OpenAI API, OpenRouter, Pricing, Project Setup & Management
- Limitations of the Model Context Protocol with Cursor as a Client
MCP in n8n – Create our own Server & Client : Hosting, Security & More
- Install n8n Locally with Node.js and Interface Overview
- n8n Basics: Triggers, Actions, Nodes, Models, MCP and More
- Create MCP Server in n8n and Use the Google Cloud Console
- Connect your n8n MCP Server to Various Hosts: Claude, Cursor, n8n, Windsurf
- Secure Your MCP Server Properly: Set Up Authentication
- Add Tools to Your MCP Server & Use Zapier for Free in Claude
- Automatically Create Pinecone Vector Database via Google Drive for n8n MCP
- Problems with Pinecone Embeddings
- Build a RAG Agent and Integrate Vector Database into the MCP Server
- How to Integrate Multiple Vector Databases into Your MCP Server
- Connect Any API in n8n Using the HTTP Request Node
- Connect Every MCP Server (GitHub or Python Servers) to n8n via Community Node
- n8n Community Node: Common Issues with Prompts & Resource
Program our own MCP Server – Step by Step in Python
- Program MCP Servers with Python & TypeScript
- Program an MCP Server in Python with Tools (Python SDK) & start MCP Inspector
- MCP Inspector: Debug & Analyze Your Python MCP Server via STDIO Transport
- Create a Config File for Your Python MCP Server to Enable Host Connections
- Add Resources to Your Python MCP Server (Vibe Coding with Cursor)
- Use Different Transport Methods: STDIO, SSE & Streamable HTTP
- How to Publish Your MCP Server on GitHub – Step by Step (and other options)
Building, Securing, and Containerizing an MCP Server
- Project Setup : Virtual Environment , Cursor Rules , MCP Docs Indexing
- Vibe Coding an MCP Server that exposes a Shell (terminal) tool
- Exposing a resource in our MCP Server
- Beware the MCP Server Supply Chain : Hacking Demo via Dependencies
- Why use Docker for our MCP Server? Key Advantages Explained
- Integrating an MCP running in a Container
Connecting LLM Clients : Tool Calling Mechanism and MCP
- How LLM's really use Tools : Understanding Tool Calling
- Bridging the Gap : The LangChain MCP Adapter Explained
- Inside MCP Protocol : How Components Interact
- SSE MCP
- Connecting MCP Client to Server & initializing Session with LangGraph
MCP Deep Dive – Main Concepts
- MCP Architecture and MCP Server Core Architecture Overview
- How Does it All Work – MCP Servers, Clients and Host
- MCP Transports Deep Dive
- The Three MCP Transports – STDIO Pros and Cons
- SSE – How it works and Pros and Cons
- Streamable HTTP – How it works and Pros and Cons
- Communication Lifecycle – STDIO and Streamable MCP Overview of Remote Servers
- MCP Summary – The Architecture of Collaborative Ecosystem
MCP Hands-On – Build Simple MCP’s and Testing
- Build MCP Servers - Dev Tools We Need
- Running our First Community MCP Server in Claude Desktop
- Building our First MCP Server and Testing Using MCP Inspector - Local STDIO
- Adding Another Tool to Our MCP Server and Testing
- Testing Our MCP Server in Claude Desktop
- SQL MCP Server - Getting Countries
MCP Hands-On – MCP Resources and Prompts
- MCP Primitives Overview
- Creating a Prompt MCP Server and Testing
- MCP Resources – Get Book Inventory Resources
- MCP Server – Resources adding more resources & testing in Claude Desktop
- Using Streamable HTTP Transport to run an MCP Server – Deep Dive
MCP Hands-on : Build an End-to-End - E2E – MCP Server
- Building the Recipe MCP Server - SetUp & Saving Recipes
- Adding More Tools to the Recipe MCP Server
- Adding Resources to MCP Server
- Adding Prompts to the MCP Server
- Testing our Recipe MCP Server in Claude Desktop & Debugging
- Building Agentic Workflows with LangChain
MCP Hands-On : Deploying an MCP Server on a Remotely
- Deploying our MCP Server to Render - Preparation and Deployment
- Testing our Remote MCP Server in Claude Desktop
- Running the Remote MCP Server in VS Code
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
- AI Governance & Model Context Protocol (MCP)
- AI Automation & Workflow Optimization
- Cloud AI Integration (AWS, Azure, GCP)
- Retrieval-Augmented Generation (RAG)
- AI Model Deployment & Monitoring
- Generative AI Development
- Vector Databases (e.g., Pinecone, Weaviate, FAISS)
- Model Context Protocol (MCP)
- AI Contextual Understanding
- Cursor AI
- MCP on n8n
- Vibe Coding
- AWS Bedrock
Salary Hike
60% - 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 DevOps course with Success Aimers?
Success Aimers believe that teaching a course is easy, but preparing learners to be job-ready is the true challenge. That’s why our curriculum is carefully designed and delivered by industry experts, featuring capstone projects based on real-world industry scenarios. This approach ensures practical learning that equips you to confidently face interviews and excel in the IT industry
What is the time frame to become competent as a DevOps engineer?
Typically, becoming a successful DevOps engineer requires 2–3 years of consistent learning, dedicating about 4–5 hours weekly. But with Success Aimers specialized DevOps Engineer program, you can achieve the same level of mastery in just one year, thanks to expert-led sessions, practical labs, and hands-on projects
Will skipping a session prevent me from completing the course?
Missing a live class won’t prevent you from completing the course. You can conveniently watch the recorded session of any class you miss at your own pace.
What industries lead in DevOps implementation?
Technology and Software Development
Manufacturing
Financial Services
Healthcare
E-commerce
Telecommunications
Does Success Aimers offer corporate training solutions?
At Success Aimers, we partner with Fortune 500 and mid-sized companies to support their talent development through digital skills training. Our corporate training programs feature short, skill-specific certification courses and role-based learning pathways designed to meet the evolving needs of today’s workforce.
How is the Success Aimers DevOps Certification Course reviewed by learners?
Our DevOps Engineer Course features a carefully crafted curriculum that aligns closely with industry needs. Reviews and testimonials from alumni consistently praise the course for its thorough content, practical learning style, and experienced instructors. The course’s flexible design also allows working professionals to upgrade their skills while managing their jobs and personal lives effectively.
Can I attend a demo session before I enroll?
Yes, we offer a one-on-one discussion with a faculty member and a demo session before you enroll. We recognize the importance of building trust between you and the trainer. We encourage you to ask all your questions and clear any doubts before beginning your classes with us.
What batch size do you consider for the course?
The advantage of having minimum students in the session is to pay individual attention to each student. We keep 5-10 students in each batch.
Do you offer learning content as part of the program?
The students are provided with content such as PPT, PDF, recordings for session to thoroughly understand the topics covered
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