Placement AssistanceNCVET AccreditedIndustry Certification by CIITrending

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.

Rating
4.4/5
Duration
25 Weeks
Mode
Online
Mentor-Led
40 Mn+ Alumni Network
25+ Tools & Framework
Avg. Salary Growth 15%- 20%

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.

5+
Projects
300+
LEARNING HOURS
800+
Hiring Partners

Curriculum

Comprehensive curriculum to build in-demand tech skills and real-world expertise.

Reliable Python Application Development

Build practical skills to develop reliable Python applications with clean coding practices, error handling, and tested REST APIs.

LLM Integration & Data Optimization

Learn to call LLMs safely and optimize data exchange for efficient application performance.

GenAI for Documentation & Testing

Use GenAI tools to accelerate documentation, testing, and development workflows.

Module Project

Career Compass – AI Career Growth Partner, Code Mentor – AI Pair Programmer, Health Mate – Smart Lifestyle Optimizer

Conversational Agent Development Fundamentals

Building agents with LLM fundamentals, no-code chatbots, LangChain, prompt engineering, and structured outputs

Advanced Agent Workflows & Capabilities

Enhancing agent capabilities using tools, memory, and multi-step LCEL workflows

Agent UI, Security & Observability

Designing UI, security, and observability with Streamlit/React frontends, Auth0 authentication, and Langfuse-based agent monitoring

Module Project

Personal Finance & Budget Advisor Agent, World News & Topic Summary Agent, Real Estate Assistant & Home Recommendation Agent

End-to-End RAG System Development

Ingesting and embedding data, running hybrid search with grounded answers

Secure Access & Data Protection

Securing access with PII safeguards

External System Integration with MCP

Integrate External Systems with MCP

Tool Connectivity, Memory & Handoff

Connecting real tools with memory and handoff

Module Project

CodebaseGPT, MedLearn Assistant, ResearchHub

Multi-Agent System Development

Designing agent workflows with state management, routing, checkpointing, and parallel execution

Agent Reasoning & Decision-Making

Implementing agent reasoning using ReAct, planning, reflection, and tool usage

Scalable Multi-Agent Orchestration

Scaling systems through multi-agent orchestration, caching strategies, and intelligent routing

Module Project

AI Research Lab Partner, Autonomous Investment Strategy Board, Autonomous Social Media Content Studio

Tools & Technologies

Explore industry-relevant tools through hands-on learning to master practical, in-demand skills.

Python
Python
LangChain
LangChain
Langfuse
langfuse
LlamaIndex
LlamaIndex
LangGraph
LangGraph
CrewAI
crewAI
Azure
Azure
Guardrails AI
FastAPI
FastAPI
OpenAI
OpenAI
Gemini
React
React
Langflow
PostgreSQL
PostgreSQL

Projects You'll Build

Build production-ready projects to showcase real-world skills and strengthen your portfolio.

Multi-Agent System for Code Review & Optimization

Crew of agents to automate checks for code quality and performance, providing targeted improvements and feedback loops.

GenAIRAGDatabaseAI SecurityPerformance Metrics

Multi-Agent Software Customer Support with Human in the Loop

Hierarchical workflow of agents with Support Specialist and Support QA roles to troubleshoot and handle customer FAQs from existing documentation, delegating unresolved queries to humans.

GenAIRAGDatabaseAI SecurityPerformance Metrics

Agentic AI Candidate Assessment System

Specialized agents play roles (hiring manager, subject matter expert, behavioural analyst) to collaboratively conduct structured, comprehensive candidate assessments.

GenAIRAGDatabaseAI SecurityPerformance Metrics

Agent Swarm for Prospective Customer & Competitor Analysis

Collaborative agents specializing in customer research, existing competitors and industry trends to generate consolidated intelligence.

GenAIRAGDatabaseAI SecurityPerformance Metrics

Agent Collaboration System for Investment Recommendations

Hierarchy of agents that collaborate to perform market data analysis, develop investment strategies, perform investment execution planning, and risk analysis to produce investment recommendations.

GenAIRAGDatabaseAI SecurityPerformance Metrics

Agentic System for Sales Enablement

System of agents that tracks and evaluates incoming leads based on behavioral data, CRM records, and external intelligence. They assign scores to each lead, propose tailored outreach methods, and update scores in real-time.

GenAIRAGDatabaseAI SecurityPerformance Metrics

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, job placement assistant, and event planner.

Develop advanced AI solutions such as a financial analyst and autonomous software development team.

Industry Salary Growth

Accelerate your career with strong salary growth across India.

Download Career Report

Select Designation

Salary Growth

Annual Packages
₹10 LPAMin
₹14 LPAAvg
₹18 LPAMax

Currently Hiring Companies for this role

400+ Companies

Industry-Recognized Certification

Certificate of Completion

This is to certify that

Student Name

Has successfully completed the Building Agentic AI Systems

Signature

Date

Earn a trusted NIIT professional certificate.

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.

Up to 3 placement opportunities within 120 days of joining the Placement Bank
Career guidance with personalized counseling and mock interview preparation
Resume building & LinkedIn profile optimization
Client briefings with Git profile development and industry connect sessions
Alumni connect sessions for networking

Placement Assistance Policy

Dedicated placement assistance with leading industry hiring partners. Refer to the FAQ and T&C sections for placement eligibility details.

97%
Placement Rate
800+
Hiring Partners

Our Hiring Network

800+ Top Recruiting Companies
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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.

Dr. Ayan Chatterjee

Dr. Ayan Chatterjee

Chief Technology Officer

InsAnalytics

Dr. Ayan Chatterjee is the Chief Technology Officer at InsAnalytics, bringing over 8 years of research and development experience across Artificial Intelligence, Machine Learning, Mathematical Modeling, Medical Image Processing, and AI-driven Drug Discovery. A Gold Medalist in B.E, and a PhD in Computer Science from Northeastern University, Boston he combines academic excellence with global research credentials. His professional contributions include GPU architecture design at NVIDIA, with deployments in autonomous vehicle systems at Tesla. He has also led the end-to-end development of AI-powered medical imaging solutions for brain tumor diagnostics using MRI scans and built scalable AI platforms supporting drug discovery and gene therapy initiatives at AstraZeneca. With a strong foundation in both research and applied AI, Dr. Chatterjee brings deep technical insight and industry relevance to train the learners of Building Agentic AI Systems at NIIT.

4.8(Excellent reviews)
Amrita Saha

Amrita Saha

Senior Data Scientist

Freelancer

Ms. Amrita Saha is a seasoned Senior Data Scientist with over 15 years of combined industry and R&D experience across AI/GenAI, Machine Learning, Big Data Analytics, and advanced Statistical and Econometrics Modeling. Her expertise spans diverse domains with hands-on proficiency in Robotics Process Automation (RPA), core economic research, and Business Intelligence with a strong focus on data visualization and dashboarding. She holds an M.Sc. in Economics, an M. Tech in Data Science & Engineering, and is a PhD Scholar in AI & Energy Economics at the Department of Finance & Economics, BITS Pilani. She plays a pivotal role in guiding learners in NIIT’s Building Agentic AI Systems program, enabling them to develop practical, industry-ready expertise in next-generation AI systems.

4.7(Excellent reviews)

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 Clearence etc).

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.

Duration25 Weeks
Upcoming Batches
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₹1,42,500
₹1,50,000

Exclusive of 18% GST

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Building Agentic AI System | NIIT Certified Course