Agentic AI Classes in Panvel

feature-iconAgentic AI focuses on creating autonomous systems capable of perceiving, reasoning, and acting with minimal human intervention
feature-iconWith SevenMentor’s Agentic AI Course, Learn how to use, create, manage and deploy Agentic AI Models.
feature-iconThe course combines fundamental AI ideas with more advanced topics such as planning, reinforcement learning, and autonomous agent design.
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Learning Curve for Agentic AI

Learning curve for Agentic AI

Master In Agentic AI Course

OneCourseMultipleRoles

Empower your career with in-demand data skills and open doors to top-tier opportunities.

AI Agent Developer
Machine Learning Engineers (Agentic Focus)
AI Architects
Robotics and Autonomous Systems Engineers
AI Ethics and Governance Specialists
AI Agent Engineer

Skills & Tools You'll Learn -

Python  iconPython A versatile, high-level programming language widely used for web development, automation, data science, and AI.
Getting Started With Pydantic In Python iconGetting Started With Pydantic In PythonIntroduction to using Pydantic for data validation and settings management using Python type annotations.
Lang-chain iconLang-chainA framework designed to build applications powered by large language models with modular, chainable components.
Open-Al Ollama iconOpen-Al OllamaA tool for running and managing open-source large language models locally with optimized performance
Building Al agents With Conversation Lang-chain  iconBuilding Al agents With Conversation Lang-chain Developing interactive AI agents that utilize conversational workflows using the LangChain framework.
Al Agents Vs Agentic Al iconAl Agents Vs Agentic AlA comparison between traditional AI agents and the emerging paradigm of agentic AI with autonomous capabilities.
LangGraph  iconLangGraph A graph-based extension to LangChain for designing stateful and branching AI workflows.
Lang-graph Components iconLang-graph Components The individual elements that compose a LangGraph, including nodes, edges, states, and transitions
Debugging LangGraph Application With LangSmith  iconDebugging LangGraph Application With LangSmith Using LangSmith tools to trace, monitor, and debug LangGraph-based applications efficiently.
Different Workflows InLang Graph iconDifferent Workflows InLang GraphExploration of various patterns and structures for implementing workflows within LangGraph.
Human In The Loop In Lang-Graph iconHuman In The Loop In Lang-GraphIntegrating human feedback or decision-making checkpoints into LangGraph AI workflows.
RAG With LangGraph iconRAG With LangGraphImplementing Retrieval-Augmented Generation (RAG) techniques within a LangGraph-powered application.

Why Choose SevenMentor Agentic AI

Empowering Careers with Industry-Ready Skills.

Specialized Pocket Friendly Programs as per your requirements

Specialized Pocket Friendly Programs as per your requirements

Live Projects With Hands-on Experience

Live Projects With Hands-on Experience

Corporate Soft-skills & Personality Building Sessions

Corporate Soft-skills & Personality Building Sessions

Digital Online, Classroom, Hybrid Batches

Digital Online, Classroom, Hybrid Batches

Interview Calls Assistance & Mock Sessions

Interview Calls Assistance & Mock Sessions

1:1 Mentorship when required

1:1 Mentorship when required

Industry Experienced Trainers

Industry Experienced Trainers

Class Recordings for Missed Classes

Class Recordings for Missed Classes

1 Year FREE Repeat Option

1 Year FREE Repeat Option

Bonus Resources

Bonus Resources

Curriculum For Agentic AI

BATCH SCHEDULE

Agentic AI Course

Find Your Perfect Training Session

Jan 4 - Jan 10

2 sessions
04
Sun
Classroom/ Online
Weekend Batch
10
Sat
Classroom/ Online
Weekend Batch

Jan 11 - Jan 17

1 sessions
12
Mon
Classroom/ Online
Regular Batch

Jan 18 - Jan 24

1 sessions
19
Mon
Classroom/ Online
Regular Batch

Learning Comes Alive Through Hands-On PROJECTS!

Comprehensive Training Programs Designed to Elevate Your Career

Designing The Front End Using Streamlit

Designing The Front End Using Streamlit

Implementing The LLM Module In Graph Builder

Implementing The LLM Module In Graph Builder

Implementing The Graph Builder Module

Implementing The Graph Builder Module

Implementing The Node Implementation

Implementing The Node Implementation

Integrating the Entire Pipeline With Front End

Integrating the Entire Pipeline With Front End

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KEY Features that Makes Us Better and Best FIT For You

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Industry professionals with extensive experience to guide your learning journey.

Comprehensive Curriculum

In-depth courses designed to meet current industry standards and trends.

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Real-world projects and practical sessions to enhance learning outcomes.

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Options for weekday, weekend, and online batches to suit your convenience.

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Course Content

Agentic AI Course

Artificial intelligence has advanced to a new stage known as agentic AI. Unlike typical AI systems, Agentic AI employs autonomous agents capable of planning, reasoning, decision-making, and carrying out complex multi-step tasks. These systems can not only respond to inputs, but also initiate activities, adapt in real time, and work with other agents or humans to achieve a common goal. This technology is rapidly changing areas like software development, customer service, healthcare, banking, and education.

Agentic AI Classes in Panvel offered by SevenMentor are designed to provide learners with an in-depth understanding of the theoretical foundations and practical implementations of agent-based artificial intelligence systems. With the integration of LLMs (Large Language Models), knowledge graphs, multi-agent frameworks, and orchestration tools like LangChain and CrewAI, this training offers an industry-relevant curriculum to future-proof your AI career.

At the heart of this transformative learning lies SevenMentor, the best training institute for Agentic AI Training, which has crafted a comprehensive and cutting-edge curriculum that bridges foundational knowledge with advanced real-world implementations.
 

What is Agentic AI?

Agentic AI systems are distinguished by their capacity to act autonomously, execute plans over time, handle sub-goals, monitor outcomes, and adapt to changing contexts. These systems frequently collaborate with LLMs and reasoning engines to enable context-aware, proactive behaviour. An agentic system could function as an autonomous research assistant, a customer support bot, or a self-improving code analyst. This increase in autonomy and intelligence represents a substantial shift away from typical reactive AI.
 

Core Concepts Covered in Agentic AI Training

The Agentic AI Courses in Panvel offered by SevenMentor are structured to cover the end-to-end pipeline of designing and deploying intelligent agents. The training begins with foundational concepts including reinforcement learning, planning algorithms, and symbolic reasoning. Students then delve into advanced subjects such as prompt engineering for agent systems, goal decomposition, multi-agent communication protocols, and contextual memory integration.

Learners will also learn how to create agents that connect with APIs, handle dynamic state trees, and make autonomous decisions with minimal human interaction. LangChain, AutoGen, CrewAI, and OpenDevin will all be discussed, along with actual use-case walkthroughs and guided project creation. 
 

Curriculum Overview of Agentic AI Classes in Panvel

This immersive training offered by SevenMentorcovers theoretical knowledge, architectural patterns, and hands-on projects. Students will start by understanding different agent models: reflexive agents, goal-based agents, utility-based agents, and learning agents. Following that, the emphasis shifts to building agent workflows using LLMs as cognitive engines.

You'll learn how to create multi-agent pipelines in which agents work together, negotiate responsibilities, and deliver task results. There will be detailed implementation instructions for leveraging LangGraph for task orchestration, CrewAI for agent delegation, and Graph-Based Node Memory systems.

Each lesson is supported by case studies and real-world project execution, ranging from developing autonomous code review agents to complicated sales intelligence agents that connect with CRMs and databases.
 

Practical Implementation and Real-Time Project Integration

Hands-on experience is a vital part of the Agentic AI Training in Bombay offered by SevenMentor. Learners can access real-time data, pre-configured cloud settings, and collaborative Git repositories. You'll be working on projects like designing front-end UIs with Streamlit for AI agent dashboards, implementing graph-based memory modules for persistent context tracking, developing multi-agent research assistants that use LLMs to retrieve, analyse, and summarise information, creating agent ecosystems that automate repetitive coding or marketing tasks, and integrating custom APIs for dynamic agent execution and tool calling.

Through these implementations, participants gain confidence in deploying agentic systems in professional environments, whether they are startups or enterprises.
 

Industry Use Cases Integrated into the Course

In every module of the SevenMentor’s Agentic AI Classes in Panvel, industry use cases are embedded to ensure relevance. Learners get exposure to use cases like Intelligent customer support agents with adaptive querying logic, Autonomous marketing campaign generators using past performance data, Financial analysts that forecast market trends by consuming external feeds, Educational agents that personalize learning pathways for students, and Software debugging agents capable of self-healing basic code issues.

These contextual implementations help learners connect theoretical knowledge with applied enterprise solutions.
 

Certification and Post-Training Support

On completion of the Agentic AI Courses in Panvel, students receive an industry-recognized certification from SevenMentor, the best training institute for Agentic AI Training. This credential adds value to your resume and opens doors to high-impact AI job roles.

Moreover, SevenMentor provides extended support in terms of project guidance, interview preparation, resume building, and job referrals via their dedicated placement assistance cell.
 

Infrastructure and Learning Environment

SevenMentor provides cutting-edge infrastructure in Panvel, including smart classrooms, high-performance computing systems, and constant access to cloud development environments. The learning experience is extremely engaging, mixing theory, hands-on laboratories, and mentor-led workshops to reinforce concepts.

Weekly hackathons and capstone projects require students to apply what they've learnt to solve real-world agentic AI problems.
 

Why Choose SevenMentor for Agentic AI Training in Panvel?

There are several reasons why learners consider SevenMentor the best training institute for Agentic AI Training. The institute provides an industry-focused curriculum, professional teachers with hands-on deployment expertise, and a large network of alumni working at top multinational corporations and startups.

The teaching methodology is outcome-driven, ensuring that each student not only understands the fundamental concepts, but also gains the confidence to apply them at scale in real-world settings.

The Panvel centre offers the ideal combination of a tranquil learning environment with access to Navi Mumbai and Pune's thriving tech ecosystems, providing learners with both focus and exposure.
 

Career Prospects After Completing Agentic AI Training

After completing Agentic AI Training in Panvel, participants can pursue high-value roles such as Agentic AI Developer, LLM Integration Engineer, AI Automation Specialist, Multi-Agent System Architect, Cognitive AI Consultant, and AI Research Assistant.

Salaries for professionals skilled in Agentic AI tools and architecture are on the rise, with companies looking for developers who can go beyond standard ML models and build autonomous intelligent systems that deliver business value.

Agentic AI represents the next leap in artificial intelligence capabilities—where agents not only understand and respond but act, reason, and evolve independently. By mastering this emerging domain through Agentic AI Classes in Panvel, you position yourself at the forefront of the AI revolution.

Whether you’re looking to switch careers, upskill in your current role, or bring automation into your business processes, this training equips you with the latest tools, frameworks, and strategies needed to succeed in this dynamic field.

Partner with SevenMentor, the best training institute for Agentic AI Training, and begin your journey into the future of autonomous, intelligent software systems.

 

Online Classes

SevenMentor offers comprehensive and flexible online Agentic AI Courses in Panvel. The online training is conducted through interactive live sessions led by experienced trainers. Learners get access to recorded sessions, code repositories, virtual lab access, and regular one-on-one doubt-clearing sessions.

The online course is synchronized with the in-class curriculum to maintain consistency. Group activities, project collaborations, and code reviews are also conducted in real-time. This allows learners from across India—or even abroad—to benefit from the expertise of SevenMentor, the best training institute for Agentic AI Training without compromising on quality.

 

Corporate Training

SevenMentor also offers customized corporate Agentic AI Training in Panvel for organizations looking to upskill their workforce. These sessions are customized according to business objectives and industry verticals.

From building internal agent ecosystems to automating repetitive workflows, corporate batches can receive domain-specific training along with post-training support for implementation. These programs can be conducted onsite at client locations or remotely via secure digital classrooms. SevenMentor’s corporate training has empowered teams across fintech, healthcare, retail, and logistics sectors to adopt agentic systems efficiently.

Frequently Asked Questions

Everything you need to know about our revolutionary job platform

1

What is the Agentic AI Course in Pune all about?

Ans:
The Agentic AI Course in Pune offered by SevenMentor provides learners with the skills needed to create and manage autonomous AI agents. This course covers all the principles of Agent AI from basic to advanced level skills like designing, managing and deploying Agentic AI.
2

How does Agentic AI differ from other AI models?

Ans:
Agentic AI seeks to construct autonomous agents capable of observing, planning, acting, and adapting in real-time settings. Traditional AI, on the other hand, is frequently composed of task-specific, reactive systems that lack agency or long-term goals.
3

What are common use cases of Agentic AI?

Ans:
Agentic AI plays a crucial role in various fields, including self-driving cars, smart virtual assistants, robotic process automation, game AI, industrial automation, customer service bots, and personalized learning systems.
4

What technologies support Agentic AI development?

Ans:
The technologies involved in Agentic AI include reinforcement learning, prompt chaining, large language models (LLMs), natural language processing (NLP), simulation environments, and frameworks such as LangChain, ReAct, and AutoGPT.
5

What is the future of Agentic AI?

Ans:
Agentic AI is making a huge difference where decision-making, autonomy, and adaptability are critical. It is a crucial step towards constructing machines that can operate autonomously, responsibly, and intelligently without much human intervention.
6

What is the difference between Agentic AI and autonomous AI?

Ans:
While both work autonomously, Agentic AI is more focused on goal-driven behaviour, reasoning, and planning, whereas autonomous AI may just follow predefined rules without larger goal management.
7

What is a reasoning loop in Agentic AI?

Ans:
A reasoning loop is a cycle in which an agent observes, interprets, plans, acts, and reflects on the results. This loop allows the agent to develop its approach and adapt over time.
8

How can Agentic AI improve decision-making in industries?

Ans:
Agentic AI enhances decision-making by analysing large datasets, evaluating multiple scenarios, and delivering actionable insights.
9

What role does natural language play in Agentic AI?

Ans:
Natural language is commonly used as both input and output in Agentic AI systems. It enables agents to understand user instructions and respond in a human-like manner, resulting in seamless communication.
10

Can Agentic AI be used in cybersecurity applications?

Ans:
Yes, agentic AI can detect anomalies, respond to threats autonomously, and adapt to changing attack patterns. It enables real-time decision-making in dynamic cyber defence.
11

What teaching approach does SevenMentor follow for Python training?

Ans:
Our training includes real-world case studies, hands-on projects, problem-solving tasks, interactive instructor-led classes, and coding practice to make you job-ready.
12

Does SevenMentor provide placement assistance for this training?

Ans:
Yes, we provide complete placement assistance including career guidance, resume building, job referrals, and mock interview preparation to help students get hired.
13

Will I get a certificate after completing the Agentic AI course offered by SevenMentor ?

Ans:
Yes! We provide a certificate after successful completion of the course. Our certificate is accredited globally, which can help you update your resume and increase your chances of landing your favourite jobs related to the AI field.
14

What's the fee structure for Agentic AI coaching?

Ans:
Cost varies by course duration and format (online/offline). Contact our counselors for current fees - we offer installment plans to make it affordable for students
15

Will I get study materials related to this course?

Ans:
Yes, you will have access to video tutorials, downloadable notes, coding exercises, assignments and real-world projects to boost your learning.

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