Building Agentic AI Systems
Agents for Every Ambition – a premium learning initiative by NIIT, building job-ready AI leaders with industry-driven training, real-world expertise, and in-demand artificial intelligence skills.
Program Overview
The Building Agentic AI Systems by NIIT is a future-ready program with placement assistance that builds job-ready AI and automation skills through hands-on projects, and industry-aligned learning. Learn to design intelligent agents, RAG-powered apps, and multi-agent workflows with real-world AI tools. This program is accredited by the National Council for Vocational Education and Training (NCVET), with industry certification awarded by the Confederation of Indian Industry (CII). Students can earn Academic Bank of Credits (ABC), gaining nationally recognized credentials that provide flexibility, and open pathways for seamless career progression across institutions and programs.
Curriculum
Comprehensive curriculum to build in-demand tech skills and real-world expertise.
Core Python & Data Foundations
Build strong fundamentals with Python structures, functions, modular code, and structured data models.
API Development & LLM Integration
Develop robust REST APIs, handle I/O and validation, and integrate LLM APIs into applications.
Testing, Real-Time Systems & AI Acceleration
Ensure reliability with testing, enable real-time communication, and leverage GenAI for code, docs, and optimization."
Gain hands-on experience with Python, uv, FastAPI, Pydantic, pytest, and OpenAPI specifications.
Conversational Agent Foundations
Build your first AI chatbot with no-code tools, then graduate to calling LLM APIs through LangChain with safe wrappers, prompt management and tool calling so the agent can take real actions.
Multi-Step Agent Workflows & Memory
Design multi-step LCEL chains, add short-term memory for multi-turn conversations and a React-based chat front-end so the agent feels conversational and helpful inside an existing web app.
Auth and Observability
Secure the agent with user authentication and authorization, observe its behaviour with Langfuse traces and quality checks, and ship a working conversational chat bot on cloud (Azure Foundry)."
Gain hands-on experience with Langflow, FastAPI, LangChain, React, JWT/CORS, Observability (OpenTelemetry/Langfuse), Azure OpenAI / Bedrock.
End-to-End RAG Pipeline
Build ingestion, chunking, embedding, and hybrid retrieval with grounded, citation-backed responses.
Secure & Tool-Integrated Retrieval
Apply guardrails, PII protection, and integrate MCP tools to connect real backend systems.
Memory, Handoff & SLO Validation
Enable memory and human handoff, and validate performance against accuracy and latency SLOs."
Gain hands-on experience with Postgres and pgvector, LangChain, LlamaIndex, GuardrailsAI, and MCP.
Core Graph Architecture & Agent Design
Stateful graphs replace linear chains using nodes, edges, ReAct loops, multi-agent roles, memory scoping, and self-correction for controlled execution.
Reliability & Production Engineering
Ensure stable agent systems with retries, backoff, circuit breakers, idempotency, SLOs, runbooks, and prompt versioning for safe production behavior.
Observability, Security & Governance
Enable tracing, dashboards, prompt security, OWASP LLM defenses, privacy controls, and reproducibility for fully auditable and secure agent systems.
Gain hands-on experience with LangGraph, CrewAI, Langfuse, and OpenTelemetry.
SLO-Driven Agentic System Design
Design real-world, scalable agentic systems with clear architecture and decision frameworks.
Autonomous Systems in Action
Build and iterate intelligent agents using RAG, tools, and multi-agent workflows.
Production-Ready Delivery
Validate with observability, security, and performance testing, ending in a final demo and runbook.
Gain hands-on experience across all of the above and the chosen channel or cloud environment.
Tools & Technologies
Explore industry-relevant tools through hands-on learning to master practical, in-demand skills.
Projects You'll Build
Build production-ready projects to showcase real-world skills and strengthen your portfolio.
Wellbeing Coach – Your Personalized 5-Minute Mental Booster
An AI-powered application that understands user input and context to deliver personalized wellness activities, providing quick and effective interventions through intelligent recommendations and adaptive responses.
Real Estate Assistant – AI-Powered Home Search Companion
A conversational AI agent that helps users discover, compare, and evaluate homes through personalized, context-aware interactions, integrating tools, memory, and workflows to deliver relevant property insights.
MedLearn Assistant – AI-Powered Medical Education Companion
An agentic RAG system that processes medical textbooks and multi-modal content to deliver accurate, explainable answers for learning and concept clarification.
Autonomous Social Media Content Studio – Multi-Agent Publishing System
A multi-agent system that transforms a single idea into platform-specific content, using specialized agents, review loops, and coordinated workflows to deliver consistent, publish-ready outputs.
Multi-Agent Retail Policy Intelligence System
A crew of agents that interprets retail policies, validates decisions against business rules, and provides consistent, explainable outcomes for policy-driven scenarios across operations.
Multi-Agent Support Resolution System with Human in the Loop
A hierarchical workflow of agents with Support Specialist and Resolution QA roles that diagnose issues using documentation and historical data, escalating unresolved or high-risk cases to human experts.
Boost Your Career Visibility
Showcasing a professional Capstone Project on your LinkedIn increases recruiter interest significantly. Build production-ready work that speaks for itself.
Learning Outcomes
Develop industry-relevant skills to create real-world solutions and advance your career.
Use Python to write clean, modular code, build APIs, and integrate external services.
Develop conversational AI agents that interact with users through web applications.
Build Retrieval-Augmented Generation (RAG) systems to query and ground answers in enterprise data.
Design and orchestrate multi-agent systems that plan, act, and collaborate to complete tasks.
Build a portfolio of Agentic AI projects such as a compliance agent team, event planner, financial analyst, and autonomous software development team.
Industry Salary Growth
Accelerate your career with strong salary growth across India.
Select Experience Level
Salary Growth
Annual PackagesCurrently Hiring Companies for this role





Industry-Recognized Certification
Certificate of Completion
This is to certify that
Has successfully completed the Building Agentic AI Systems
Signature
Date
Earn a trusted NIIT professional certificate and further strengthen your credentials with an additional paid industry certification. Refer FAQ.
Industry Certification by CII
Industry-recognized skills validated by Confederation of Indian Industry.
The Academic Bank of Credits (ABC)
Earn transferable academic credits for recognition, flexibility, and career growth.
Career Value with NCVET Accredited Program
Nationally recognized credentials enhancing employability and career growth.
Placement Assistance
Dedicated placement support with industry connections and recruiter interactions.
Placement Opportunity
Placement Assistance Policy
Dedicated placement assistance with leading industry hiring partners. Refer to the FAQ and T&C sections for placement eligibility details.
Our Hiring Network
800+ Top Recruiting Companies



















Data-Driven Learning, Delivered with Quality
Experience a data-driven learning ecosystem with measurable progress.
Structured Learning Roadmap
Clear learning pathways delivered through our LMS with defined milestones and module progression.
Learner Connect Sessions
Regular live mentor interactions to resolve doubts, reinforce concepts, and maintain engagement.
AI Assisted Faculty Quality Monitoring
AI-assisted faculty performance analysis ensures consistent teaching quality and delivery excellence.
Program Performance Report
Track attendance, assignments, assessments, quizzes, and overall performance with structured progress tracking.
Meet Your Mentors
Learn from Industry Experts and Experienced Professionals.
Frequently Asked Questions
Find answers to your queries about the program, curriculum, and admissions.
Graduates with 6+ months of hands-on experience in programming languages such as Python, Java, JavaScript, or C# are eligible to apply. Applicants should be comfortable writing and debugging code, using functions, classes, and APIs, working with REST APIs and JSON, and understanding client–server web applications. Experience building web apps using frameworks like Flask, Spring Boot, Node.js, or ASP.NET, along with basic familiarity with data handling and version control tools such as Git or GitHub, is preferred.
Admission to the program is direct. Eligible learners can apply by filling out the online application form, submitting the self-declaration and accepting the terms and conditions, and paying the program fee. Admission is confirmed once the payment is successfully completed.
The program follows NIIT’s Mastery Learning methodology, focusing on building one skill at a time through structured, hands-on sprints. Each sprint includes concept introduction through live mentor sessions, individual practice and assignments, mentor review and feedback, and refinement with re-submission of work. Learners typically spend around 4 hours per sprint, with most of the time dedicated to hands-on application and reflection
Graduates of the Building Agentic AI Systems program will be prepared for applied AI development roles with practical skills in Python, API development, conversational AI, RAG pipelines, and multi-agent AI systems. They will be able to design and deploy intelligent agents, build AI applications that interact with users and data sources, and orchestrate autonomous AI workflows using modern frameworks. Typical entry roles include AI Engineer, Generative AI Developer, AI Application Developer, and AI Automation Engineer.
Taking a loan is entirely optional. Loans are facilitated by third-party lenders, and NIIT has no role in the process. Applicants must review the loan terms carefully, including EMIs, interest rates, processing fees, and repayment schedules. All EMI payments and related queries must be handled directly with the lender.
Documents may include PAN Card and Aadhaar Card, last 6 months’ bank statements, 3 months’ salary slips (for employed learners) or ITR proof (for self-employed), and co-applicant details if the learner is under 21 years of age. Incomplete documentation may result in loan rejection.
Learners need a laptop or desktop with Intel i3 or AMD Ryzen 3 (or higher), at least 8 GB RAM, and 50 GB free disk space, along with a functional webcam and microphone. The system should run Windows 10 or macOS (or higher) with the latest Chrome or Edge browser, MS Office or equivalent tools, and a PDF reader installed. A stable Wi-Fi or broadband connection with a minimum speed of 5 Mbps is required, and a backup internet connection is recommended.
Yes, learners receive a digital certificate after successfully completing the program and meeting all the required conditions (overall performance score, attendance, payment clearance etc).
However, to obtain additional certification through the Confederation of Indian Industry (CII), learners are required to make a separate payment via the National Council for Vocational Education and Training (NCVET) portal.
Learners can choose to obtain NCVET (National Council for Vocational Education and Training) accreditation and CII (Confederation of Indian Industry) certification as additional credentials. These are optional and require separate registration and payment directly on the respective NCVET portal.
For academic progression, eligible learners can also receive credits through the Academic Bank of Credits (ABC). After successful program completion, learners must have an active ABC ID; the applicable credits are then submitted by the institution and deposited into the learner’s ABC account, where they can be accessed and used as per guidelines.
During the program, academic mentors will guide you through the process, including registration steps and requirements for these certifications and credits.
Learners with a minimum of 6 months and less than 5 years of work experience will be provided with up to 3 placement opportunities within 120 days, subject to eligibility. Placement services are available only to learners who have successfully completed the program with a minimum score of 70%, are graduates from a recognised University/Institute in Regular Mode, are declared placement-ready by the Delivery team, and are Indian citizens residing in India. NIIT’s responsibility is to provide relevant job opportunities for eligible learners to participate in the selection process; however, final placement depends on the learner’s preparation, participation, and performance in the hiring process. Learners with 5 years or more of experience will be eligible for Career Guidance support.
Hassle-Free Refund Policy
Your satisfaction is our priority. We offer transparent refund terms for your peace of mind.
100% Money-Back Guarantee
Full refund (excluding the booking fee) if you cancel before the batch starts
Quick Refund Review
Eligible refund requests are carefully reviewed within seven working days
Transparent Refund Timeline
Approved refunds are completed within 45 days for timely settlement
Important: Enjoy a transparent refund policy. Cancel 48 hours before the class start date to be eligible for a refund if you haven’t attended any class.
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Exclusive of 18% GST
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