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.
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.
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
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
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
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.
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.
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.
Agentic AI Candidate Assessment System
Specialized agents play roles (hiring manager, subject matter expert, behavioural analyst) to collaboratively conduct structured, comprehensive candidate assessments.
Agent Swarm for Prospective Customer & Competitor Analysis
Collaborative agents specializing in customer research, existing competitors and industry trends to generate consolidated intelligence.
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.
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.
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.
Select Designation
Salary Growth
Annual PackagesCurrently Hiring Companies for this role
400+ Companies




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.
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 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 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.
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Exclusive of 18% GST
Secure your seat with a token booking fee of ₹1,500 today.
Exclusive of 18% GST







