Can I build real-world AI applications after this course?

Yes.You’llbe able to buildAI chatbots, RAG-powered systems, MCP agents, and scalable AI architecturesthat interact with APIs and databases.

Which AI models and tools are covered in this specialization?

The course covers OpenAI ChatGPT, Google Gemini, MCP, RAG systems, ChromaDB, pgVector, MongoDB, and more, giving you hands-on experience with production-grade AI.

Is this Agentic AI course suitable for AI engineers and developers worldwide?

Absolutely. The skills you learn are globally applicable, from North America to Europe, Asia, and beyond, helping you build AI systems that work in any environment.

Will this course help me get Agentic AI engineering jobs or freelance projects?

Yes. With hands-on experience building full-stack agentic AI systems, RAG pipelines, MCP, and vector databases, you will be getting job-ready skills that every AI company hunts for.

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.

Full Stack Agentic AI Specialization

Grow your skills with Coursera Plus for $239/year (usually $399). Save now.

Full Stack Agentic AI Specialization

Become an Agentic AI Engineer.

Build scalable AI agents with RAG, MCP, vector DBs & production-ready backend systems

Instructors: LearnKartS

Included with

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3 course series

Get in-depth knowledge of a subject

Beginner level

No prior experience required

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

3 course series

Get in-depth knowledge of a subject

Beginner level

No prior experience required

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Createend-to-end Agentic AI systems that think, act, and interact with real-world UIs, APIs, and backend services effortlessly
Build autonomous AI agents with MCP andtool-callingworkflows that execute tasks, solve problems, and scale in production
Leverageembeddings and vector databases to design RAG pipelines with lightning-fast retrieval and intelligent memory
Deployproduction-ready AI architectures, mastering skills top AI engineers use to design,optimize, and scale real systems

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Shareable certificate

Add to your LinkedIn profile

Taught in English

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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 - 3 course series

Build real-worldAgentic AI systems—not just chatbots.

Most developers rely on tools like ChatGPT or Google Gemini, but quickly hit limits: no memory, weak reasoning, and little ability to interact with real data or APIs. Traditional AI apps canrespondbut theycan’ttruly act, decide, or scale in production environments.

This 3-course specialization changes that. You will begin by creating RAG full-stack AI appsusing Angular and Node.js, then explore MCP server design, tool-calling systems, and agent workflows, and lastly go into production-grade architectures with vector databases, MongoDB, and distributed RAG pipelines.

By the end, you become capable of building smart agents that retrieve knowledge, call APIs, manage structureddata as wellasmake autonomous decisions.You’llmaster RAG, MCP, embeddings, and vector databases while also gaining practical experience with real-world tools like customer systems, order workflows, and external APIs. This also prepares you for AI engineering and system design interviews with confidence.

What makes this Agentic AI certification course different is its focus on true full-stack agentic architecturegoing beyond theory to help you build production-ready AI systems end to end.

This is designed for developers, AI engineers, and students who want to move beyond basic AI API usage and build powerful, real-world intelligent systems.

Start building AI thatactually worksin productionenroll now.

Applied Learning Project

In thisAgentic AI Engineeringspecialization,you’llbuild real-world Agentic AI systems from scratch.

Create a full-stack RAG chatbot using Angular for the frontend and Node.js for the backend
Integrate powerful LLMs like ChatGPT and Gemini for advanced language capabilities
Design and implement an MCP server enabling AI agents to call APIs, manage workflows, and act autonomously
Utilize vector databases, embeddings, and MongoDB for efficient semantic search and scalable data management
Build an impressive portfolio of production-ready AI projects thatdemonstrateyour end-to-end AI engineeringexpertise
Prepare for real-world AI roles by mastering hands-on development and deployment of Agentic AI solutions

Agentic AI Foundations: Build RAG & MCP Chatbots

Course 1, 16 hours

What you'll learn

Build real-world AI agents using RAG + MCP that think, retrieve data, and take actions—beyond basic chatbots
Create high-accuracy AI with embeddings, similarity search, and ranking for smarter, context-aware responses
Develop a complete AI product with Angular frontend, Node.js backend, and OpenAI + Gemini integration
Enabletool-callingAI systems that automate workflows and solve real problems like modern AI applications

MCP Servers & Agentic AI Architecture

Course 2, 18 hours

What you'll learn

Build production-ready MCP architecture that powers real AI systems—structure tools, resources, and prompts for scalable execution
Master Gemini and OpenAI tool calling to create AI thatdoesn’tjust respond but executes workflows and delivers real outcomes
Create intelligent agents that automate decisions, trigger backend actions, and handle end-to-end workflows without manual intervention
LeverageChromaDBandpgVectorto build context-aware AI systems using embeddings, retrieval pipelines, and high-performance data flows

Advanced Agentic AI: Production Data Architecture

Course 3, 8 hours

What you'll learn

Build a production-ready RAG engine usingpgVectorand PostgreSQL with embeddings, similarity search, and optimized query pipelines
Design intelligent AI workflows with MCP integration, enablingtool-driven agentsto process real customer and order scenarios
Implement advanced prompt engineering and context construction to generateaccurate, grounded responses in dynamic AI applications
Architect scalable MongoDB systems with schemas, service migration, query optimization, and production-ready data handling strategies

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

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Frequently asked questions

Agentic AI is an advanced AI system that can think, act, and make autonomous decisions. Developers use it to build production-ready applications beyond simple chatbots.

You’ll learn RAG, MCP architectures, embeddings, vector databases, and tool-calling AI agents—developing full-stack systems prepared for real-world deployment.

Basic programming knowledge (JavaScript/Node.js/Angular) is preferred, but the course walks youthroughbasics to production-ready AI systems.