Master AI Agents, Multi-Agent Systems, LangGraph, CrewAI, LangChain, Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), Vector Databases, OpenAI APIs, and AI Automation through industry-focused live projects. Learn from experienced trainers, earn certification, and get placement assistance to become a job-ready Agentic AI Engineer.
Industry-Oriented Training
Real-World AI Applications
Resume & Interview Preparation
Industry Recognized Certificate
Expert Trainers & Mentors
The world of Artificial Intelligence is evolving rapidly, and Agentic AI is leading the next wave of innovation. Unlike traditional AI systems that only respond to prompts, Agentic AI can think, plan, make decisions, use tools, remember previous interactions, and complete complex tasks autonomously.
At Nobel IT Solutions, our Agentic AI Course in Pune is designed to help students, software developers, AI enthusiasts, and working professionals master the latest technologies used by leading companies worldwide. This comprehensive training program covers AI Agents, Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), LangChain, LangGraph, CrewAI, Model Context Protocol (MCP), Vector Databases, OpenAI APIs, AI Automation, and Multi-Agent Systems.
This course is completely project-oriented and focuses on practical implementation rather than just theory. You will build real-world AI applications, automation systems, intelligent assistants, and autonomous AI agents that can solve business problems across multiple industries.
Whether you are a beginner looking to start your AI journey or an experienced developer aiming to build enterprise-grade AI solutions, this course provides the knowledge and practical experience required to become an Agentic AI Developer.
Agentic AI is the next generation of Artificial Intelligence that enables AI systems to independently perform tasks, make decisions, interact with software tools, retrieve information, remember previous conversations, and achieve specific goals with minimal human intervention.
Traditional AI systems typically perform one predefined task, while Generative AI creates content such as text, images, or code based on user prompts. Agentic AI goes one step further by combining reasoning, planning, memory, and tool usage to complete entire workflows.
For example, instead of simply answering a question, an Agentic AI system can:
This makes Agentic AI highly valuable for businesses looking to automate operations, improve productivity, and deliver intelligent customer experiences.
Artificial Intelligence is transforming industries worldwide, and organizations are rapidly adopting AI-powered automation solutions. Agentic AI is becoming one of the most sought-after technologies because it enables businesses to automate entire workflows instead of performing isolated tasks.
Learning Agentic AI opens career opportunities in AI engineering, enterprise automation, software development, product engineering, research, and AI consulting.
Companies across healthcare, finance, education, e-commerce, manufacturing, logistics, marketing, and IT services are actively investing in AI agents to improve efficiency and reduce manual effort.
By learning Agentic AI today, you prepare yourself for future job roles that require expertise in autonomous AI systems, intelligent assistants, and enterprise AI solutions.
Agentic AI is transforming industries by enabling autonomous systems that can reason, plan, use tools, and complete tasks independently. After completing this course, you'll be prepared for high-demand AI careers across startups, enterprises, and technology companies.
Design and build intelligent AI agents capable of autonomous reasoning, planning, memory management, and task execution.
Develop AI-powered automation workflows that integrate business applications, APIs, and enterprise software.
Create enterprise AI applications using LLMs, LangChain, RAG, AI Agents, and OpenAI APIs.
Build and optimize applications using GPT, Claude, Gemini, Llama, Mistral, and other Large Language Models.
Develop intelligent AI workflows using LangChain, tools, memory, prompt templates, and retrieval pipelines.
Design advanced multi-step AI workflows using stateful graphs, human-in-the-loop processes, and intelligent orchestration.
Create collaborative multi-agent systems where specialized AI agents work together to accomplish complex business tasks.
Design scalable AI solutions for enterprises by integrating LLMs, AI agents, cloud platforms, and automation tools.
Help businesses implement Agentic AI solutions to improve productivity, automate operations, and drive innovation.
Build Retrieval-Augmented Generation applications using vector databases, embeddings, semantic search, and LLMs.
Develop AI-powered software products by integrating intelligent assistants, automation, and decision-making capabilities.
Implement secure, scalable Agentic AI solutions for organizations using MCP, AI orchestration, and cloud infrastructure.
Build intelligent AI agents capable of planning, reasoning, tool calling, memory management, and autonomous decision-making for real-world applications.
Develop AI applications using Model Context Protocol (MCP) to securely connect AI agents with external tools, databases, APIs, and enterprise systems.
Gain hands-on experience with the latest AI frameworks, Large Language Models (LLMs), AI Agent frameworks, automation platforms, vector databases, and deployment tools used by leading AI companies worldwide.
Our comprehensive Agentic AI curriculum is designed to help you master AI Agents, Large Language Models (LLMs), AI Automation, Multi-Agent Systems, and enterprise AI development through practical, industry-focused training and live projects.
Python Basics, Variables, Data Types, Loops, Functions, OOP, File Handling, Exception Handling, Modules, APIs and Packages.
Artificial Intelligence, Machine Learning, Deep Learning, Large Language Models, Tokens, Embeddings, Transformers and AI Applications.
Zero-Shot Prompting, Few-Shot Prompting, Chain of Thought, Role Prompting, Prompt Templates and Structured Output.
Chat Completions API, Function Calling, Tool Calling, Vision API, Image Generation, Audio API and Streaming Responses.
Document Parsing, Chunking, Embeddings, Semantic Search, Context Retrieval, RAG Pipelines and Evaluation.
ChromaDB, Pinecone, FAISS, Weaviate, Vector Search, Similarity Search and Embedding Storage.
Chains, Agents, Tools, Memory, Prompt Templates, Output Parsers, Retrievers and AI Applications.
Stateful Workflows, Nodes, Edges, Human-in-the-Loop, Graph Execution and AI Agent Orchestration.
AI Crews, Multi-Agent Collaboration, Agent Roles, Task Delegation, Memory and Workflow Automation.
MCP Architecture, MCP Servers, MCP Clients, Tool Integration and Enterprise AI Connectivity.
Planning, Reasoning, Reflection, Memory Management, Autonomous Decision Making and Tool Usage.
FastAPI, Docker, GitHub, Cloud Deployment, REST APIs, Gmail Automation, Google Sheets Integration and n8n Workflows.
Build AI Chatbots, RAG Document Assistant, AI Email Assistant, Customer Support Agent, AI Research Assistant, Resume Screening Agent, Multi-Agent Workflow, AI Automation Projects and Final Capstone Project.
Resume Building, GitHub Portfolio, LinkedIn Optimization, AI Coding Interview Questions, Mock Interviews and Placement Preparation.
Download the detailed Agentic AI Course Syllabus PDF and explore the complete curriculum, live projects, AI tools, technologies, and hands-on learning modules covered in this training program.
Gain practical experience by building real-world Agentic AI applications, AI agents, RAG systems, multi-agent workflows, and enterprise AI automation solutions using the latest AI technologies.
Build a ChatGPT-like intelligent chatbot using OpenAI, LangChain, memory, and tool calling.
Create a Retrieval-Augmented Generation chatbot using vector databases and semantic search.
Upload PDFs and build an AI assistant that answers questions from documents.
Develop an AI assistant that drafts, summarizes, and automates email workflows.
Build collaborative AI agents using CrewAI and LangGraph for complex task execution.
Create an AI agent that securely connects with external tools using the Model Context Protocol (MCP).
Build an AI agent that searches, analyzes, and summarizes information from multiple sources.
Automate business processes using AI agents, n8n, Gmail, Google Sheets, and APIs.
Master Agentic AI through practical training, live projects, industry-standard tools, and expert guidance designed to prepare you for real-world AI careers.
Learn through hands-on exercises, assignments and live projects.
Learn from professionals with real-world development experience.
Build portfolio-worthy AI applications for your resume.
Resume building, interview preparation and career guidance.
Earn certification that validates your AI skills.
Continuous guidance and learning resources after training.
Agentic AI is an advanced form of Artificial Intelligence where AI systems can reason, plan, make decisions, use external tools, access data, and complete tasks autonomously with minimal human intervention.
Students, freshers, software developers, IT professionals, data professionals, and anyone interested in AI, automation, or Large Language Models (LLMs) can join this course.
No. We start with Python fundamentals and gradually teach Generative AI, LLMs, RAG, AI Agents, LangChain, LangGraph, CrewAI, and advanced Agentic AI concepts.
You will learn Python, OpenAI, Claude, Gemini, LangChain, LangGraph, CrewAI, MCP, RAG, ChromaDB, Pinecone, FAISS, FastAPI, Docker, GitHub, Hugging Face, n8n, and AI Agent development.
You will build AI Chatbots, RAG Chatbots, AI Agents, Multi-Agent Systems, Document Q&A Applications, AI Automation Workflows, AI Email Assistants, and enterprise AI applications.
You can apply for roles such as Agentic AI Developer, AI Engineer, Generative AI Engineer, LLM Engineer, AI Automation Engineer, AI Solutions Architect, LangChain Developer, LangGraph Developer, CrewAI Developer, and AI Consultant.
Yes. We provide resume building, GitHub portfolio guidance, LinkedIn profile optimization, mock interviews, career counseling, and placement assistance.
Agentic AI is one of the fastest-growing areas of Artificial Intelligence. Organizations are adopting AI agents to automate workflows, improve productivity, and build intelligent applications, creating strong demand for skilled professionals.
The Agentic AI Training Program at Nobel IT Solutions provides practical training, live AI projects, the latest industry tools, and placement assistance to help learners become industry-ready AI professionals.
Upgrade your career with our job-oriented courses in Pune.
