Agentic AI Training in Borivali

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

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Agentic AI Course

Find Your Perfect Training Session

Jan 4 - Jan 10

2 sessions
04
Sun
Classroom/ Online
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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

Expert Trainers

Industry professionals with extensive experience to guide your learning journey.

Comprehensive Curriculum

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

Hands-on Training

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

Flexible Schedules

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

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Globally accepted credentials to boost your career prospects.

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Modern facilities and tools for an engaging learning experience.

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Course Content

Agentic AI Course

The future of artificial intelligence is not simply reactive—it is proactive, goal-oriented, and capable of independent decision-making. This evolution is driven by the rise of Agentic AI, a transformative domain that extends beyond conventional AI systems. Unlike traditional AI models that wait for input and rely on static instructions, agentic systems demonstrate autonomy, initiative, and adaptability in complex environments. As interest and investments in this technology surge, SevenMentor Institute has emerged as a vital gateway for learners looking to acquire in-depth knowledge and hands-on experience in this rapidly growing field.

Borivali, a fast-developing suburb in Mumbai, is now gaining prominence as a thriving hub for AI education. With its accessible location, academic ecosystem, and proximity to IT corridors, Borivali is increasingly being recognized as a strategic destination for high-end AI training. The Agentic AI Course in Bombay has been curated to address the growing demand for intelligent autonomous systems, offering learners the opportunity to understand and work on cutting-edge agent-based models with real-world impact.
 

Understanding the Power and Promise of Agentic AI

Agentic AI refers to intelligent systems capable of acting independently, reasoning with intent, and interacting meaningfully with other agents or humans. These agents can formulate goals, adapt to environmental changes, and learn from experience, which makes them valuable for applications in robotics, decision systems, automated trading, logistics, personalized healthcare, and more. Unlike systems that operate on programmed logic, agentic systems are dynamic, self-reflective, and capable of adjusting their strategies on the fly. The Agentic AI Training in Borivali is purposefully designed to offer deep technical insight into how these autonomous systems operate in real-world environments. Learners get to engage with frameworks, simulation tools, and adaptive models that mirror the behavior of real-world intelligent agents.

As industries shift from programmed automation to intelligent, autonomous systems, Agentic AI is poised to lead this transformation. The availability of advanced, future-ready Agentic AI Classes in Borivali ensures that learners from all backgrounds can become part of this revolution. With a focus on practical application, strategic design, and community-based learning, the Agentic AI Course in Borivali is more than just technical training—it’s a launchpad for impactful careers in intelligent automation and AI system design. For individuals, startups, and enterprises aiming to stay ahead of the curve, the Agentic AI Training in Mumbai provides the tools, environment, and guidance to innovate, lead, and excel in a world increasingly driven by autonomous decision-making systems.
 

Why Borivali is an Emerging Hub for Agentic AI Learning

Borivali's steady transformation from a residential suburb to a semi-commercial knowledge hub has created the perfect conditions for the emergence of specialized tech education. The locality is now home to multiple training institutes, co-working spaces, and innovation centers. The availability of infrastructure, coupled with well-connected transport links via rail and road, makes Agentic AI Classes in Borivali highly accessible for students, working professionals, and entrepreneurs from different parts of Mumbai and Thane.

The city’s educational institutions are increasingly investing in futuristic technologies, which helps learners access the latest trends, real-time industry data, and collaborative opportunities. With Borivali’s growing ecosystem for tech development, those enrolling in the Agentic AI Course in Borivali benefit from an environment that supports learning, experimentation, and innovation.
 

Growing Industry Demand for Agentic AI Expertise

Today’s industries are shifting toward systems that do not just automate tasks but can also make proactive decisions, reason about their actions, and adapt autonomously to new situations. From intelligent surveillance and smart urban planning to interactive AI assistants and adaptive learning platforms, the applications of Agentic AI are expanding at a rapid pace.

Organizations are looking for professionals with a deep understanding of autonomous systems and the capability to design, test, and deploy intelligent agents. The Agentic AI Training in Borivali prepares learners to meet these demands by offering an intensive, technically robust program that focuses on strategic behavior modeling, decision frameworks, system-level autonomy, and environmental perception.
 

Curriculum Structure and Learning Philosophy

The Agentic AI Classes in Borivali distinguish themselves through their immersive, practical, and research-oriented approach. Rather than focusing solely on theoretical concepts, these programs offer experiential learning environments where students build agent-based simulations, explore adaptive learning, and develop interaction models.

The learning philosophy emphasizes understanding agents as independent, intelligent entities that operate in both collaborative and adversarial settings. Learners are encouraged to experiment with multi-agent systems, simulate negotiation and cooperation between agents, and build models that can function across distributed environments. The Agentic AI Course in Borivali fosters a mindset of exploration, innovation, and application, which is vital for success in modern AI careers.
 

Infrastructure and Hands-On Exposure in Borivali

To learn a technology as dynamic as Agentic AI, access to modern labs, tools, and environments is essential. Institutions offering the Agentic AI Training in Borivali are equipped with AI experimentation labs, high-performance computing environments, smart classrooms, and collaborative workspaces. Learners get access to real-time datasets, agent-based modeling platforms, and advanced programming environments that enable them to design, test, and iterate on autonomous agent systems.

In addition to technical resources, institutes also provide mentorship support, research guidance, and project supervision. This infrastructure ensures that students don’t just absorb knowledge—they apply it effectively in simulated and real-world contexts.
 

Diverse Learner Profiles and Community Building

The Agentic AI Classes in Borivali attract a rich mix of learners from varied backgrounds—software developers, AI researchers, data analysts, system architects, and even startup founders. This diversity enables interdisciplinary learning and encourages group-based innovation.

Learners are often grouped into project teams where they tackle real-world scenarios—such as designing collaborative robotic agents or simulating resource negotiation in smart cities. These collaborative experiences cultivate a sense of community, promote idea exchange, and lead to deeper conceptual understanding.

Institutes actively support peer-to-peer learning, workshops, hackathons, and community meetups. The Agentic AI Course in Borivali becomes more than a learning program—it becomes an interactive journey within a growing AI ecosystem.
 

Application-Oriented Learning in Agentic AI

Agentic AI is deeply tied to real-world problem-solving, and the Agentic AI Training in Borivali reflects that through an application-centric approach. Students work on practical scenarios such as intelligent agents for logistics routing, autonomous stock-trading bots, energy-efficient agent systems for smart grids, and negotiation agents for e-commerce platforms.

These projects allow learners to apply advanced theories in real-time contexts while developing portfolios that can be showcased to prospective employers or startup investors. Learners gain not only technical expertise but also product design thinking and solution-oriented skills.
 

Strategic Mentorship and Career Enablement

A standout featu
re of the Agentic AI Classes in Borivali is the access to experienced mentors and industry advisors. Learners are matched with mentors who provide guidance on projects, career paths, and research exploration. Regular industry interaction through guest lectures, panel discussions, and collaborative assignments ensures that students understand the latest market dynamics and innovation trends.

Training centers also offer job readiness support in the form of resume development, mock interviews, technical portfolio review, and placement assistance. For those interested in research, mentorship extends into academic writing, conference submissions, and publication strategy.
 

Integration with Borivali’s Growing Tech Scene

Borivali’s increasing tech footprint adds another layer of advantage for learners. Many emerging startups, automation service providers, and digital transformation firms are now operating in and around the area. The Agentic AI Course in Borivali has strong ties with this local tech ecosystem, offering students a chance to intern, collaborate, or contribute to live AI product development.

Some programs even include field visits or project evaluations from industry partners, giving learners real-world feedback and potential job pathways. This industry-academic synergy enhances learning and ensures practical skill application.
 

Key Highlights of Agentic AI Training in Borivali

The following features make the Agentic AI Training in Borivali particularly impactful for learners seeking a deep, strategic understanding of agent-based intelligence:

  • Access to AI simulation labs for real-world problem modeling and experimentation.
  • Multi-agent system focus to understand cooperation, competition, and coordination between autonomous agents.
  • Application-based curriculum involving real scenarios from retail, finance, robotics, and more.
  • Peer learning and collaborative challenges that enhance problem-solving.
  • Exposure to AI research trends through faculty and industry tie-ups.
     

These elements make Borivali not just a convenient location—but a compelling choice for those aiming to enter the world of intelligent, autonomous AI systems.
 

Online Classes

For learners who seek flexibility without compromising on quality, the online Agentic AI Course in Borivali offers a comprehensive virtual learning experience. Conducted through interactive learning management platforms, the course includes live virtual lectures, downloadable content, collaborative coding environments, discussion boards, and hands-on projects. Students engage with mentors in real-time, participate in virtual simulations, and complete capstone assignments that reflect real-world agentic challenges. With 24/7 access to resources and global networking opportunities, this online model allows busy professionals and remote learners to seamlessly master Agentic AI from anywhere.

 

Corporate Training

Enterprises in Borivali and greater Mumbai can empower their workforce through customized corporate Agentic AI Training in Borivali. These training modules are tailored to specific business domains such as logistics automation, intelligent customer service, enterprise risk prediction, or adaptive supply chain management. Delivered through on-site bootcamps, hybrid formats, or fully virtual platforms, corporate sessions emphasize practical implementation, real-time problem-solving, and integration with existing enterprise systems. Post-training support, analytics dashboards, and KPI tracking ensure measurable ROI and immediate application in operational frameworks.

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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