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Agentic AI Understanding Autonomous AI Agents - Webinar
Agentic AI refers to artificial intelligence systems designed to operate with autonomy, adaptability, and proactive decision-making. These AI models perceive environments, set goals, make decisions, and take actions without requiring constant human intervention. They leverage machine learning, reinforcement learning, and advanced reasoning techniques to function effectively in dynamic, real-world scenarios.
- Hands on
- Participation Certification
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Course Overview
General Description:
AI is evolving beyond automation—Agentic AI is the next breakthrough! This webinar explores how autonomous AI agents can analyze data, make independent decisions, and execute complex tasks with minimal human intervention.
Special Benefits : Participation Certificate from FutureTech – Attendees who successfully complete the entire session and submit feedback will receive an official participation certificate..
Course Objectives
This webinar aims to provide IT professionals, AI enthusiasts, and decision-makers with a comprehensive understanding of Agentic AI and Autonomous AI Agents. Participants will explore how AI-driven agents can independently analyze, decide, and act, transforming various industries.
Target Audience / Prerequisites
To ensure participants are well-prepared and can fully benefit from the course, the following prerequisites are recommended:
- AI enthusiasts & developers exploring autonomous AI agents
- Data scientists & ML engineers interested in building AI-powered automation
- Product managers & business leaders looking to leverage AI agents in workflows
- Anyone curious about how AI agents work & their real-world applications
- Data Analysts and Data Engineers
- Software Developers
Certification


Sample Certificate
- After successfully completing the training programme, as well as the real-time hands-on and projects, you will be awarded a Futuretech course completion certificate.
Course Duration & Course Schedule Date
- Duration: 2 Hours
- 20th Feb 2025
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Course Outline
1. Basic Knowledge of AI & Machine Learning
● Understanding of AI concepts (e.g., supervised vs. unsupervised learning).
● Familiarity with ML models like Transformers, LLMs (e.g., GPT, BERT).
● Awareness of AI applications in real-world scenarios.
2. Understanding of Large Language Models (LLMs)
● Basic knowledge of how LLMs work (e.g., OpenAI's GPT, Claude, Gemini).
● Awareness of prompt engineering and response generation.
● (Optional) Experience using ChatGPT, Google Bard, or other AI-powered chatbots.
3. Python Programming Basics
● Ability to write and run simple Python scripts.
● Basic understanding of functions, loops, and data structures (lists, dictionaries).
● (Optional) Familiarity with API calls using requests or OpenAI API.
4. Familiarity with AI Tooling & Libraries
● Experience with Jupyter Notebooks or Google Colab for hands-on experiments.
● (Optional) Exposure to LangChain, OpenAI API, or CrewAI for building AI agents.
5. Basic Understanding of Automation & APIs
● Concept of API calls and how AI agents interact with external systems.
● Knowledge of basic HTTP requests (GET, POST).
● (Optional) Experience with automation frameworks like Selenium, Zapier, or workflow engines.
Reviews
Shaik Abdullah (Visteon)
★★★★★
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Overall experience is very good. Guidelines given by trainers were excellent. It is well designed course with practical orientation
Lipsa Tripathy (Mindtree Ltd)
★★★★★
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All of the trainers were excellent, extremely professional and knowledgeable and created positive learning environments.
Rajeev (CSC India Pvt)
★★★★★
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I thoroughly enjoyed this training. The tutor's attitude was exemplary. He displayed a good knowledge of the subject and built up a rapport with the attendees in no time.
Priyanka Mishra (GI)
★★★★★
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This place is great for doing corporate training- a central location and well equipped. Good facilities for lunch and with good travel links - an ideal venue
Sourav (Mindtree Ltd)
★★★★★
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Very well organised and implemented. A lot of lessons learned. The training was commendable and the trainers were also professional. Overall a good experience.
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FAQ
Agentic AI refers to AI systems that can independently analyze situations, make decisions, and take actions without constant human intervention. These agents are designed to adapt, learn, and execute tasks dynamically.
Unlike traditional AI, which typically follows predefined rules and patterns, Agentic AI agents can self-learn, reason, and act proactively based on real-time data. They are more autonomous and capable of handling complex tasks with minimal supervision.
The core components include:
✅ Perception – Gathering and interpreting data from the environment.
✅ Decision-Making – Analyzing information and determining the best course of action.
✅ Execution – Carrying out actions based on decisions.
- Agentic AI is transforming multiple industries, including:
🔹 IT & DevOps – Automating system management and cybersecurity.
🔹 Finance – AI-powered trading bots and fraud detection.
🔹 Healthcare – AI-driven diagnostics and robotic surgery.
🔹 E-commerce – Smart chatbots and personalized recommendations.
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Yes! With tools like OpenAI API, LangChain, and Python frameworks, IT professionals can develop AI agents that perform automated tasks, analyze data, and interact intelligently.
Agentic AI Understanding Autonomous AI Agents - Webinar
20th Feb 2025 | 11:00 AM to 1:00 PM | online mode
Special Offer for limited seats only… Hurry Up!!!