What are the career benefits of mastering Agentic AI?

As the demand for autonomous, adaptive systems grows, mastering Agentic AI positions you for roles in AI development, data engineering, and advanced systems architecture, with high earning potential.

What will I build during this specialization?

You'lldevelop a full-stack Agentic AI system using MERN (MongoDB, Express, React, Node.js), integrating advanced RAG and MCP functionalities for real-world applications.

How does this Agentic AI course prepare me for real-world AI challenges?

By working on complex, real-world use cases,you’llgain the skills to solve practical AI problems, preparing you to develop advanced AI systems that adapt, learn, and evolve in dynamic environments.

Is this course really 100% online? Do I need to attend any classes in person?

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

Can I just enroll in a single course?

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Can I take the course for free?

No, you cannot take this course for free. When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you cannot afford the fee, you can apply for financial aid.

Will I earn university credit for completing the Specialization?

This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

Agentic AI Engineering: RAG, MCP & MERN Specialization

Agentic AI Engineering: RAG, MCP & MERN Specialization

Master Agentic AI Engineering.

Go beyond chatbots, build intelligent AI agents with RAG, MCP & MERN

Instructors: LearnKartS

Included with

Learn more

4 course series

Get in-depth knowledge of a subject

Beginner level

Recommended experience

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

4 course series

Get in-depth knowledge of a subject

Beginner level

Recommended experience

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Master the foundations of Agentic AI, RAG, and MCP, and how they transform AI systems into adaptive, autonomous agents for real-world applications.
Gain hands-on experience building scalable AI systems with the MERN stack, integrating React, Node.js, & MongoDB for dynamic, real-world solutions.
Dive into advanced AI concepts like embeddings and context retrieval, combining OpenAI and Gemini models to create responsive, personalized agents.
Build an AI agent from the ground up, gaining practical skills in frontend, backend, and tool integration to prepare for high-demand AI roles.

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Advance your subject-matter expertise

Learn in-demand skills from university and industry experts
Master a subject or tool with hands-on projects
Develop a deep understanding of key concepts
Earn a career certificate from LearnKartS

Specialization - 4 course series

What if your AI couldthink, decide, and act—not just respond?

Welcome toAgentic AI Engineering, a hands-on specialization designed to help you buildautonomous, production-ready AI systems. Unlike traditional AI courses that focus only on prompts or APIs, this program teaches you how to buildend-to-end Agentic AI systemsthat can retrieve knowledge, use tools, and make decisions in real-world scenarios.

You’llstart with the foundations of Agentic AI and develop scalable applications using theMERN stack, integrating models like OpenAI and Gemini.As you progress, you will createAI agents that are powered by RAG and MCP, enabling dynamic responses, tool calling, and intelligent workflows.

You’llthen explore MCP architecture and tool ecosystems to build APIs and backend services that enable AI interaction with external systems. Finally,you’lllearn how to make use of AI memory with systems like vector databases (ChromaDBandpgVector) to create scalable, high-performance systems.

ThisAgentic AI Engineeringcourseis designed for Developers, backend engineers, and AI enthusiasts who want to move beyond chatbots and buildreal-world AI agents.

By the end,you’llbe able todesign, build, and deploy intelligent AI systemsused in modern applications.

Build the future of AInot just prompts, but systems.

Applied Learning Project

As part of thisAgentic AI Engineeringspecialization, you will work on real-life AI and development projects such as:

Building and configuring a full-stack development environment using MERN (MongoDB, Express, React, Node.js)
Creating scalable applications by integrating RAG (Retrieval-Augmented Generation) pipelines and advanced AI models like OpenAI and Gemini
Developing autonomous AI systems with Model Context Protocol (MCP) for real-time decision-making and tool interaction
Setting up andoptimizingvector databases likeChromaDBandpgVectorto enhance AI memory and real-time data processing
Designing and implementing an AI chat interface with React and integrating backend AI systems for dynamic responses
Integrating advanced AI functionalities like embeddings and context-based search to build intelligent and adaptive agents

Agentic AI Foundations with MERN, RAG & MCP

Course 1, 9 hours

What you'll learn

Dive into Agentic AI, RAG, and MCP to create next-gen, intelligent systems with real-world applications.
Build powerful MERN stack projects, integrating Node.js, React, and Gemini AI for dynamic chat solutions.
Master modern frontend techniques with React, Vite, and TypeScript, crafting a fully responsive, polished UI.
Gain hands-on experience building andoptimizingscalable AI-powered chat apps, ready for real-world deployment.

Build Production AI Agents with RAG & MCP

Course 2, 12 hours

What you'll learn

Master building AI-powered chat systems with Node.js and Gemini API for seamless text generation and dynamic responses.
Implement static RAG systems andleverageknowledge bases to create advanced, responsive AI-driven Q&A bots.
Integrate OpenAI with RAG for intelligent response generation, improving accuracy and enhancing user experience.
Build real-world tool APIs using MCP, including customer service and weather APIs, to elevate AI system performance.

Advanced MCP & Tool Calling for AI Agents

Course 3, 13 hours

What you'll learn

Understand MCP architecture, tool calling concepts, and practical setup for Gemini and OpenAI integration.
Master tool registration, function calling, and response generation in Gemini and OpenAI environments.
Learn to build and configure the MCP server, transport layer, and API routes for seamless client-server communication.
Gainexpertisein integrating OpenAI with MCP, setting up Angular for AI-assisted development, and creating agent-driven systems.

Agentic AI Systems with Vector DBs & RAG

Course 4, 14 hours

What you'll learn

Dive intoRAG (Retrieval-Augmented Generation)and understand how to build smarter, context-aware AI systems with real-time data retrieval.
MasterAgentic AIconcepts, enabling systems to evolve, learn, and adapt autonomously in real-time based on dynamic data.
Learn how to implementpgVectorandChromaDB, integrating vector databases for efficient AI memory and fast data retrieval.
Gain hands-on experience building scalable, adaptive AI solutions that can continuously improve with every interaction and data input.

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructors

LearnKartS

157 Courses191,032 learners

Offered by

LearnKartS

Why people choose Coursera for their career

Felipe M.

Learner since 2018

"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."

Jennifer J.

Learner since 2020

"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."

Larry W.

Learner since 2021

"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Open new doors with Coursera Plus

Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Learn more

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Explore degrees

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Learn more

Frequently asked questions

Agentic AI is an intelligent system that continuallylearns,adapts,and makes autonomous decisions. Unlike traditional AI models, it evolves over time and delivers more flexible solutions.

MCP is a system for managing andoptimizingAI decision-making. It offers a systematic approach, with reusable templates and tools that manage complex AI tasks more effectively and flexibly.

You’lluse tools like Node.js, Express, React, Gemini, OpenAI, and PostgreSQL to build scalable AI systems, along with libraries for embeddings and RAG.