Agentic AI & Autonomous Agents Course in Noida

Q: What will I get after completing this course?

You will receive an industry-recognized certificate from Uncodemy, hands-on experience with real-world AI agents and projects, and a capstone project suitable for a portfolio and interviews.

Q: Does Uncodemy provide placement assistance?

Yes. The page states that Uncodemy provides Dedicated Career & Placement Assistance, including mock interviews, resume guidance, and connections with top companies.

Q: What are the career benefits of learning Agentic AI & Autonomous Agents?

The page lists high-demand skills in AI and autonomous systems, opportunities in RPA, AI engineering, autonomous systems development and AI research, along with the ability to work on AI projects in technology companies or startups.

Career Benefits

💰

High-Paying Career

Professionals skilled in agentic AI earn between ₹10–40 LPA in India and $100K–160K in the USA.

🧑

Hands-On Learning

Work on real AI agents and autonomous systems, not just theory.

🎯

Job-Ready Skills

Learn practical tools and technologies in AI, reinforcement learning, NLP, and multi-agent systems.

📚

Flexible Learning Options

Lifetime LMS access to study at your own pace.

🏆

Industry-Recognized Certificate

Showcase your expertise to potential employers and recruiters.

🤖

AI/ML Professionals

Wanting specialization in agentic AI.

Who Should Take This Course?

🎓

Students

Passionate about AI and autonomous systems.

👨‍💻

Software Developers

Aiming to build AI-driven applications.

🚀

Tech Enthusiasts

Exploring the future of automation and intelligent systems.

Skills You'll Gain

☑ Agentic AI Development

Learn to build AI systems that perceive their environment, make decisions, and execute tasks autonomously.

☑ Reinforcement Learning (RL)

Train AI agents using reward-based algorithms, enabling them to learn optimal actions through trial and error.

☑ Autonomous System Design

Design self-operating systems that adapt to dynamic environments and complete tasks independently.

☑ Multi-Agent Systems (MAS)

Understand how multiple AI agents interact and cooperate to solve complex, distributed problems.

☑ Natural Language Processing (NLP) for AI Agents

Enable agents to understand, interpret, and respond to human language, enhancing interaction and usability.

☑ Simulation & Testing Environments

Test AI agent behavior using simulation platforms, ensuring agents can perform reliably in real-world scenarios.

Course Curriculum

📈 Module 1: Introduction to Agentic AI & Autonomous Agents⬇️

What is Agentic AI and its role in modern AI systems
Understanding Autonomous Agents: types, capabilities, and applications
Differences between traditional AI vs agentic AI
Real-world use cases: autonomous customer service agents, robotic process automation, AI assistants
Hands-On Lab: Setting up Python and AI development environment, creating your first simple autonomous agent

📈 Module 2: Fundamentals of Reinforcement Learning for Autonomous Agents⬇️

Introduction to Reinforcement Learning (RL)
Components of RL: agent, environment, state, action, reward
Understanding Markov Decision Processes (MDP)
Q-learning, SARSA, and other basic RL algorithms
Hands-On Lab: Implementing Q-learning algorithms using Python, building an agent that navigates a grid-world simulation

📈 Module 3: Multi-Agent Systems (MAS) & Collaboration⬇️

Introduction to Multi-Agent Systems (MAS)
Types of multi-agent interactions: cooperative, competitive, and mixed
Communication protocols and strategies among agents
Applications: logistics optimization, swarm robotics, AI in gaming
Hands-On Lab: Simulating multi-agent environments, developing a collaborative agent system

📈 Module 4: Natural Language Processing (NLP) for Autonomous Agents⬇️

Introduction to NLP and its importance in autonomous agents
Text processing: tokenization, stemming, lemmatization
Understanding intent recognition and entity extraction
Chatbots and conversational agents
Hands-On Lab: Building a simple chatbot agent, implementing intent recognition

📈 Module 5: Simulation, Testing, and Ethical AI⬇️

Importance of simulations in testing autonomous agents
Using simulation environments to evaluate agent behavior
Introduction to ethical AI and responsible autonomous systems
Ensuring bias-free, fair, and transparent AI decisions
Hands-On Lab: Simulating autonomous agents, evaluating decisions using metrics

📈 Module 6: Capstone Project Preparation & Deployment⬇️

Introduction to the capstone project: building a fully autonomous system
Selecting the project domain: chatbot, autonomous scheduler, multi-agent simulation
Integrating all concepts: RL, MAS, NLP, and simulations
Preparing for deployment and real-world evaluation
Hands-On Lab: Build a functional autonomous agent or multi-agent system, present project report

🎯 Capstone Projects

💡 The capstone project is the most crucial and career-defining part of the Agentic AI & Autonomous Agents course at Uncodemy. It allows students to apply everything they have learned across modules, from reinforcement learning to NLP, multi-agent systems, and autonomous decision-making.

🚀 Practical Skill Application: Students take theoretical knowledge from the course and implement real-world AI systems.

🌟 Portfolio Building: The project serves as a showcase of your capabilities, highly valued by recruiters and tech companies.

🚀 End-to-End Experience: Students learn planning, development, testing, and deployment of autonomous agents.

🌟 Industry Readiness: By completing a functional project, you gain the confidence and skills to tackle real job challenges in AI, automation, and autonomous systems.

🤖 Project 1: Autonomous Customer Support Chatbot

🎯 Objective: Build an intelligent chatbot that can understand queries, make decisions, and respond autonomously.

🛠️ Tools & Technologies: Python, NLTK / SpaCy for NLP, Flask / Django for web interface, GitHub for version control

💬

Intent Recognition

Understand user queries and map them to predefined intents.

⚡

Task Automation

Automate tasks like scheduling, order tracking, or FAQ handling.

📊

Performance Dashboard

Metrics on accuracy, response time, and success rate.

✅ Learning Outcome: Students learn to combine AI, NLP, and autonomous decision-making into a practical application used in real businesses.

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🤝 Project 2: Multi-Agent Task Automation System

🎯 Objective: Simulate multiple AI agents working together to complete tasks like warehouse management or logistics optimization.

🛠️ Tools & Technologies: Python, OpenAI Gym, RLlib, Docker, Tableau / Power BI

🤖

Collaborative Agents

Agents solve tasks autonomously with real-time interaction.

📦

Resource Allocation

Agents manage resources and scheduling in a distributed system.

📊

Performance Evaluation

Analyze efficiency, collaboration, and agent behavior.

✅ Learning Outcome: Students gain experience in multi-agent collaboration, decision-making, and simulation testing, preparing them for advanced AI projects in research or enterprise automation.

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📅 Project 3: Autonomous Scheduling Agent

🎯 Objective: Build an agent capable of managing schedules, prioritizing tasks, and optimizing workflows autonomously.

🛠️ Tools & Technologies: Python, Google Calendar / Outlook APIs, Reinforcement Learning, Flask / Django

📆

Calendar Management

Automatic task scheduling, prioritization, and rescheduling.

🔔

Reminders & Notifications

Automated alerts for deadlines and important tasks.

📊

Efficiency Dashboard

Analyze improvements in task management and productivity.

✅ Learning Outcome: Students learn how AI agents make decisions autonomously, optimize tasks, and interact with external systems, reflecting real-world automation scenarios.

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🛠️ Tools Covered

🐍 Python

Core programming for AI, reinforcement learning, and automation scripts.

⚡ Applications: Train agents to make decisions autonomously using Python + RL libraries.

🧠 TensorFlow / PyTorch

Build and train AI models, neural networks, and reinforcement learning agents.

⚡ Applications: Develop deep learning models for autonomous systems.

🎮 OpenAI Gym / RLlib

Simulate AI agents in virtual environments for safe testing.

⚡ Applications: Test agent behavior before deployment, ensuring accuracy and reliability.

🗣️ NLTK / SpaCy

Natural Language Processing for chatbots and conversational agents.

⚡ Applications: Build AI agents that understand and respond to human language.

🌐 Flask / Django

Build web interfaces for autonomous AI applications.

⚡ Applications: Deploy interactive platforms powered by AI agents.

🐳 Docker

Containerize AI applications for consistent deployment across platforms.

⚡ Applications: Make AI systems portable and reliable.

☸️ Kubernetes

Manage containerized AI systems at scale in cloud environments.

⚡ Applications: Scale enterprise-level autonomous systems.

☁️ AWS / Azure / GCP

Host, deploy, and monitor AI and autonomous systems on cloud infrastructure.

⚡ Applications: Deploy agents for real-world usage and monitor performance.

🤖 UiPath / RPA Tools

Integrate autonomous AI agents with automated business workflows.

⚡ Applications: Automate enterprise processes with AI-driven RPA.

📊 Tableau / Power BI

Visualize agent performance metrics and project analytics.

⚡ Applications: Present dashboards to analyze agent decisions, efficiency, and performance metrics.

🔧 Git & GitHub

Version control and collaborative development for team projects.

⚡ Applications: Manage code, track changes, and collaborate on AI agent projects.

Career Path & Salary

Completing the Agentic AI & Autonomous Agents course opens a world of exciting career opportunities. With businesses across industries increasingly adopting AI agents and autonomous systems, skilled professionals are in high demand.

Role	India (₹ LPA)	USA ($)	Growth
Agentic AI Engineer	12 – 35	100K – 160K	Design and implement AI agents capable of autonomous decision-making.
Autonomous Systems Developer	10 – 30	90K – 150K	Build AI-driven autonomous systems for industries like logistics, healthcare, and finance.
AI Researcher (Autonomous Agents)	15 – 40	110K – 170K	Conduct research to improve agentic AI models and simulation environments.
RPA & AI Engineer	10 – 28	95K – 140K	Automate business processes using AI agents integrated with RPA tools like UiPath
AI Solutions Architect	18 – 40	120K – 180K	Design enterprise-level AI solutions and deploy autonomous systems on cloud platforms.
Data Scientist / AI Specialist	10 – 32	100K – 150K	Analyze data for autonomous decision-making and optimize AI models for realworld applications.

Growth Stats & Industry Demand

30-40%

LinkedIn & Naukri report: Finance & AI roles are growing year-on-year

Fortune 500

Companies actively hire AI-based financial analysts

Higher Demand

AI and data-driven finance skills surpass traditional finance roles

⭐ Why Uncodemy?

Choosing Uncodemy for your Agentic AI & Autonomous Agents training ensures quality learning, career support, and practical experience.

🎯

Dedicated Career & Placement Assistance

Uncodemy provides dedicated placement support with top companies in AI and automation.

Mock interviews, resume building, and recruiter guidance included.

🚀

Live Projects

Work on real-world AI agent projects like autonomous chatbots, multi-agent systems, and scheduling agents.

Gain experience using industry-standard tools like Python, TensorFlow, Docker, and cloud platforms.

👨‍🏫

Industry Experts

Learn from AI and automation professionals who have worked in top global companies.

Trainers provide personalized guidance, mentorship, and practical tips.

🎓

Lifetime Access

Access all course materials, recorded sessions, and projects anytime, anywhere.

Review lessons as many times as needed, even after course completion.

💳

Affordable Fees

Flexible EMI plans and ₹500 registration fee offer easy access to high-quality education.

No hidden charges; transparent pricing for all students.

🤝

Certification & Career Recognition

Receive a course completion certificate recognized by top recruiters in AI and autonomous systems.

Helps boost your resume and demonstrate your skills to employers.

❓ Frequently Asked Questions

⏰ What is the duration of Agentic AI & Autonomous Agents course?⬇️

The course runs for 3 months (12 weeks), with 5–6 modules, including hands-on labs, miniprojects, and a capstone project.

🤔 Do I need prior experience in AI or programming? ⬇️

Basic Python knowledge is recommended, but the course also includes beginner-friendly modules.

Professionals and students from any technical background can enroll.

💼 What will I get after completing this course? ⬇️

Industry-recognized certificate from Uncodemy.

Hands-on experience with real-world AI agents and projects.

Ready-to-use capstone project for portfolio and interviews.

🏆 Does Uncodemy provide placement assistance? ⬇️

Yes! Uncodemy provides Dedicated Career & Placement Assistance, including mock interviews, resume guidance, and connections with top companies.

🎯 What are the career benefits of learning Agentic AI & Autonomous Agents?⬇️

High-demand skills in AI and autonomous systems.

Opportunities in RPA, AI engineering, autonomous systems development, and AI research.

High salary packages in India and abroad.

Capability to work on cutting-edge AI projects in tech companies or startups.

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Master Agentic AI & Autonomous Agents – Build Intelligent Systems of the Future!

Why This Course?

Industry Insights:

Career Benefits

High-Paying Career

Hands-On Learning

Job-Ready Skills

Flexible Learning Options

Industry-Recognized Certificate

AI/ML Professionals

Who Should Take This Course?

Students

Software Developers

Tech Enthusiasts

Skills You'll Gain

☑ Agentic AI Development

☑ Reinforcement Learning (RL)

☑ Autonomous System Design

☑ Multi-Agent Systems (MAS)

☑ Natural Language Processing (NLP) for AI Agents

☑ Simulation & Testing Environments

Course Curriculum

🎯 Capstone Projects

🤖 Project 1: Autonomous Customer Support Chatbot

Intent Recognition

Task Automation

Performance Dashboard

🤝 Project 2: Multi-Agent Task Automation System

Collaborative Agents

Resource Allocation

Performance Evaluation

📅 Project 3: Autonomous Scheduling Agent

Calendar Management

Reminders & Notifications

Efficiency Dashboard

🛠️ Tools Covered

🐍 Python

🧠 TensorFlow / PyTorch

🎮 OpenAI Gym / RLlib

🗣️ NLTK / SpaCy

🌐 Flask / Django

🐳 Docker

☸️ Kubernetes

☁️ AWS / Azure / GCP

🤖 UiPath / RPA Tools

📊 Tableau / Power BI

🔧 Git & GitHub

Career Path & Salary

Growth Stats & Industry Demand

⭐ Why Uncodemy?

Dedicated Career & Placement Assistance

Live Projects

Industry Experts

Lifetime Access

Affordable Fees

Certification & Career Recognition

❓ Frequently Asked Questions

Start Your Career in Agentic AI & Autonomous Agents Today!

Why Join Now?