Agentic AI Course
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Build Autonomous AI Systems with Agentic AI!
Step into the future with Ntech Global Solutions’ Agentic AI Course. Learn how to design autonomous AI agents that think, reason, and execute complex tasks independently. Master LangChain, ReAct frameworks, and AI automation tools through real-world projects that bring intelligence to action.
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Live Interactive Sessions
Industry Expert Trainer
Comprehensive Curriculum
Hands-on Projects
Doubt-Clearing Sessions
Flexible Batches
80/20 Learning Approach
100% Placement
Agentic AI Curriculum
Module 1: Introduction to Artificial Intelligence (AI) & Python Basics
- What is Artificial Intelligence? History and Evolution
- Difference between AI, ML, Deep Learning, and Agentic AI
- Real-world Examples: ChatGPT, AutoGPT, Copilot
- Python Basics: Syntax, Data Types, Loops, Functions, and Libraries
- Working with Jupyter Notebook and Google Colab
Module 2: Data Handling and Preprocessing for AI
- Introduction to Data (Structured, Unstructured, Text, Image)
- Using Pandas and NumPy for data manipulation
- Data Cleaning and Preprocessing
- Feature Extraction and Normalization
- Introduction to CSV, JSON, and Excel datasets
Module 3: Fundamentals of Machine Learning (ML)
- What is Machine Learning?
- Types of ML: Supervised, Unsupervised, and Reinforcement
- Algorithms Overview (Linear Regression, Decision Tree, Clustering)
- Model Training and Testing Basics
Module 1: Understanding Agents and Agentic AI
- What is an AI Agent?
- Types of Agents: Reactive, Planning, Learning
- Environment, Perception, and Actions in Agent Systems
- Overview of GPT, Claude, Gemini, and LLaMA models
- How Generative AI became Agentic AI
Module 2: Working with Large Language Models (LLMs)
- What are LLMs and how they work
- Using OpenAI API / Gemini / Hugging Face models
- Introduction to Prompt Engineering
- Role of Context, Tokens, and Temperature
- Basics of Retrieval-Augmented Generation (RAG)
Module 1: Introduction to Agentic AI Frameworks
- What are Agentic Frameworks?
- Overview of LangChain, CrewAI, LlamaIndex, and LangGraph
- Agents with Tools, Memory, and Context
- Building Chains and Workflows
- Function Calling and External API Usage
Module 2: Multi-Agent Collaboration (Team of AIs)
- What is Multi-Agent System (MAS)
- Types of Agents: Researcher, Planner, Executor
- Communication between Agents
- CrewAI – Role-based Multi-Agent Collaboration
- Task Planning and Reasoning (ReAct, Reflexion)
Module 3: Memory and Long-Term Learning for Agents
- Short-Term vs Long-Term Memory
- Using Vector Databases (FAISS, Chroma, Pinecone)
- Storing Chat History and Knowledge
- Contextual Recall and Self-Improvement
Module 1: Connecting Agents with Real-World Tools
- API Integration (Weather, News, Google Search, Email)
- File Automation (PDF reading, CSV summarization)
- Web Automation (Playwright / Selenium Basics)
- Autonomous Task Execution (AutoGPT and BabyAGI overview)
Module 2: Building and Deploying Agentic AI Applications
- Designing a full Agentic AI App (Chatbot, Assistant, or Automation Bot)
- Streamlit or Gradio UI for your AI App
- Introduction to Docker for Beginners
- Deploying your AI App on Cloud (Render, Hugging Face, or Streamlit Cloud)
- Version Control with GitHub
Module 1: Ethics, Privacy & Responsible AI for Freshers
- Understanding AI Bias and Hallucination
- Avoiding Harmful or Unsafe AI Behavior
- Privacy and Data Security Basics
- Responsible AI Guidelines
- Ethical AI Design Principles
Smart Study Buddy: Answers questions and summarizes PDFs
Personal Productivity Agent: Manages tasks, reminders, and emails
Business Research Agent: Collects and summarizes web data
Customer Support Agent: Responds with context and memory
Local Info Finder: Agent that searches and compares nearby businesses
Have Any Questions? Let's talk!
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What You’ll Master
Start your journey into the future of autonomous AI systems! Enroll in our Agentic AI Course and learn how to build self-thinking, task-performing AI agents using LangChain, ReAct, and automation frameworks. Gain real-world experience in developing AI agents that plan, reason, and execute. Turn your AI skills into practical innovation!
Industry Projects
Smart Study Buddy
– AI Learning Assistant
Build an intelligent AI-powered study assistant that can read, summarize, and answer questions from PDFs, research papers, and textbooks. Perfect for students and educators, this project showcases Natural Language Processing (NLP) and Retrieval-Augmented Generation (RAG) skills using Python and OpenAI APIs.
Personal Productivity Agent
– AI Task Manager
Develop a personal AI productivity assistant that manages your daily tasks, sets reminders, and automates emails. This project demonstrates agent automation, scheduling, and context-based task handling using frameworks like LangChain or CrewAI.
Business Research Agent
– Web Data Summarizer
Create a business intelligence AI agent that collects, analyzes, and summarizes market data, news, and trends from the web. This project teaches web scraping, data summarization, and report generation using APIs and LLMs.
Customer Support Agent
– AI Chatbot with Memory
Design a context-aware customer support chatbot that understands user queries, remembers conversation history, and responds intelligently. This project integrates LLMs with memory, using FAISS, Chroma, or Pinecone for long-term context storage.
Local Info Finder
– AI Location Search Agent
Build a location-based AI agent that searches, compares, and recommends nearby restaurants, gyms, or businesses using live data APIs. It combines geolocation, API integration, and intelligent ranking to deliver user-friendly results.
Learning Process
We Have An 85% Placement Success Rate
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What Can I Become
Agentic AI Engineer
AI/ML Engineer
Deep Learning Engineer
Prompt Engineer
AI Research Engineer
Research Scientist
Have any questions about our Agentic AI Course?
Will I Get Certified?
Master Agentic AI and design intelligent autonomous systems! Step into the future with our Agentic AI Certification Course — learn to create AI agents that plan, reason, and execute tasks using frameworks like LangChain and ReAct. Earn module-wise certifications and get guided by AI industry experts throughout your learning journey. Inquire today to become an Agentic AI specialist!
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Get certified proof of your industry experience to showcase your skills to recruiters!
It’s proof of your real-world industry exposure and practical skills. With this recognition, you can boost your resume, gain recruiters’ trust, and increase your chances of landing your dream job.
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Become a Agentic AI Specialist
Frequently Asked QuestionsAgentic AI Course
This course combines the fundamentals of data science with practical applications of Artificial Intelligence (AI). Topics include Python programming, statistics, data analysis, machine learning, deep learning, natural language processing (NLP), and real-time AI projects using libraries like TensorFlow, Keras, Scikit-learn, and OpenAI APIs.
This course is ideal for students, IT professionals, engineers, analysts, and anyone interested in launching a career in data science and AI. No prior coding experience is required.
Data Science focuses on extracting insights from data, while AI focuses on building intelligent systems that can learn, reason, and make decisions. This course teaches both, with hands-on integration.
You'll work with Python, NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, Keras, OpenCV, SQL, Power BI, and AI tools like ChatGPT, NLP libraries, and AI model deployment frameworks.
Yes. The course is structured for beginners to advanced learners, starting from basic concepts and gradually covering more complex models and AI applications.
The course typically runs for 9 months, depending on your selected batch (weekday, weekend, or fast-track).
Absolutely! You'll work on live data science and AI projects, such as fraud detection, recommendation engines, chatbot building, image classification, and more.
Yes, you’ll receive a Data Science with AI certification upon successful completion of the course and final project.
You’ll be prepared for roles like Data Scientist, Agentic AI, Machine Learning Engineer, Business Analyst, NLP Engineer, and Data Analyst.
Yes. We offer 85% placement support, including resume building, interview preparation, portfolio development, and job referrals through our industry network.
Yes, we offer both live online and offline classroom training, along with access to recordings and resources.
Yes. Our course includes exam-oriented content and mock tests to help you prepare for global certifications.
Of course! We provide a free demo class to help you explore the course structure and teaching approach.
Fees vary based on training format. Contact us directly for the latest pricing, offers, and easy EMI/payment options.
You can register online or contact our admissions team via phone, WhatsApp, or email for assistance.
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