Agentic AI Training in Kurla

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.
022-48904395

Start Today!

CONSULT WITH
OUR ADVISORS

  • Course & Curriculum Details
  • Flexible Learning Options
  • Affordable Learning
  • Enrollment Process
  • Career Guidance
  • Internship Opportunities
  • General Communication
  • Certification Benefits

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

Dec 28 - Jan 3

2 sessions
28
Sun
Classroom/ Online
Weekend Batch
03
Sat
Classroom/ Online
Weekend Batch

Jan 4 - Jan 10

1 sessions
05
Mon
Classroom/ OnlineToday
Regular Batch

Jan 11 - Jan 17

1 sessions
12
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

No active project selected.

Transform Your Future with Elite Certification

Add Our Training Certificate In Your LinkedIn ProfileLinkedIn

Our industry-relevant certification equips you with essential skills required to succeed in a highly dynamic job market.

Join us and be part of over 50,000 successful certified graduates.

Student 1
Student 2
Student 3
Student 4
Student 5
Join 15,258 others learning today
Certificate Preview

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.

Industry-Recognized Certifications

Globally accepted credentials to boost your career prospects.

State-of-the-Art Infrastructure

Modern facilities and tools for an engaging learning experience.

100% Placement Assistance

Dedicated support to help you secure your dream job.

Affordable Fees

Quality training at competitive prices with flexible payment options.

Lifetime Access to Learning Materials

Revisit course content anytime for continuous learning.

Personalized Attention

Small batch sizes for individualized mentoring and guidance.

Diverse Course Offerings

A wide range of programs in IT, business, design, and more.

Course Content

Agentic AI Course

The advancement of artificial intelligence is undergoing a revolutionary shift with the emergence of Agentic AI—a field that transcends traditional rule-based and data-driven models by focusing on autonomous, self-directed systems. Unlike conventional AI, which typically follows human-defined instructions and responses, Agentic AI refers to intelligent agents that are capable of independently setting goals, perceiving their environment, making decisions, and adapting over time. As industries and research move towards more autonomous and context-aware solutions, Agentic AI Classes in Kurla have positioned themselves at the forefront of this movement, offering robust, technically rich learning experiences tailored to the needs of forward-looking professionals.

Kurla is rapidly becoming a recognized hub for advanced technology education. Its proximity to corporate centers, academic institutions, and innovation zones makes it an ideal destination for AI learners. With a focus on practical implementation, systems-level understanding, and real-time adaptability, the Agentic AI Course in Kurla provides the depth and exposure required to master the next generation of intelligent systems.
 

Understanding the Rise of Agentic AI

Agentic AI systems are built around the core principles of autonomy, initiative, adaptability, and environmental awareness. These agents can operate independently in dynamic environments, adjusting strategies and behaviors based on feedback, stimuli, or evolving goals. Agentic AI is not limited to static commands or reactive behavior; it encompasses proactive intelligence that seeks optimal outcomes in complex, real-world settings.

With the increasing integration of AI into fields such as robotics, defense, smart infrastructure, finance, personalized healthcare, and logistics, there is a growing demand for professionals trained in Agentic AI. The Agentic AI Training in Kurla directly addresses this need by equipping learners with the capability to model, simulate, and deploy autonomous systems that demonstrate self-driven behavior and long-term learning capabilities.
 

Why Kurla is Emerging as a Hub for Agentic AI Learning

Strategically located between Mumbai’s central and suburban zones, Kurla provides unparalleled connectivity and accessibility for learners from across the metropolitan region. The area hosts a rising number of training institutions, innovation centers, and enterprise accelerators that support high-impact technical education. Agentic AI Classes in Kurla benefit from this ecosystem by integrating practical industry interaction, project-based learning, and access to advanced infrastructure.

Furthermore, Kurla’s transformation into a mixed-use commercial and educational district enables cross-sector collaboration. Students enrolled in the Agentic AI Course in Kurla are often exposed to live challenges, real-world datasets, and multidisciplinary research opportunities—ensuring they receive both academic rigor and application-focused training.

The world is moving toward intelligent systems that don’t just process data but act independently, collaborate effectively, and make strategic decisions—hallmarks of Agentic AI. As this transition accelerates, the Agentic AI Classes in Kurla offer a future-proof platform for learners to understand, build, and lead in this domain. Whether you are an individual seeking technical mastery or an organization aiming to innovate through AI, the Agentic AI Course in Kurla provides the depth, tools, and mentorship needed to succeed. With a curriculum grounded in autonomy, adaptability, and impact, the Agentic AI Training in Kurla stands as a beacon for the next wave of AI education—nurturing talent that can create the autonomous systems of tomorrow.
 

The Technological Shift to Intelligent Agents

The shift from rule-based automation to intelligent, adaptive systems is redefining how technology interacts with the world. Agentic AI embodies this transformation by creating systems that do not require micromanagement or fixed rules. These systems make informed choices, adjust behavior based on prior interactions, and coordinate with other agents or users to achieve shared objectives.

This transformation is already visible in areas like autonomous vehicles, robotic process automation (RPA), smart assistants, adaptive cybersecurity, and intelligent urban planning. The Agentic AI Training in Kurla is meticulously designed to align with this shift—providing learners with expertise in architecture, simulation, decision-making models, and real-time deployment of agentic systems.
 

Practical Learning and Real-World Integration

A core strength of the Agentic AI Classes in Kurla lies in their ability to integrate practical knowledge with deep technical exploration. Learners participate in simulated environments, develop custom agent architectures, and solve dynamic problems across multiple domains. The focus on real-world integration helps students connect classroom theory to industry challenges, enhancing both comprehension and employability.

Hands-on labs, use of agent modeling tools, and continuous project iterations ensure that students gain firsthand experience in building autonomous systems that can perceive, reason, and act in diverse scenarios. Whether working on collaborative robotics, resource negotiation, or autonomous exploration, the Agentic AI Course in Kurla fosters a solution-oriented mindset that extends beyond textbook learning.
 

Learning Infrastructure and Environment

Quality education in Agentic AI requires more than just content—it requires access to advanced infrastructure, collaborative environments, and high-performance computing resources. The institutions delivering the Agentic AI Training in Kurla are equipped with AI research labs, simulation platforms, and real-time data systems that enable learners to test their agentic models under various conditions.

The learning spaces are also designed to foster creativity and experimentation. Students can work in co-learning labs, engage in team-based challenges, and participate in innovation sprints. These features not only enhance the learning experience but also prepare students for high-stakes, real-world deployment scenarios where autonomy, safety, and responsiveness are critical.
 

Diversity of Participants and Collaborative Learning

The Agentic AI Classes in Kurla attract a rich diversity of learners—including AI researchers, software engineers, robotics enthusiasts, system designers, and academic scholars. This diversity drives dynamic collaboration and enables learners to approach problems from multiple perspectives.

Through peer learning, team projects, and shared exploration, students gain exposure to a variety of problem-solving techniques. This community-based approach builds not just technical capabilities but also essential skills like leadership, critical thinking, and strategic planning—all of which are indispensable in deploying complex AI systems.
 

Industry-Relevant Exposure and Mentorship

One of the critical differentiators of the Agentic AI Course in Mumbai is its strong industry linkage. Training institutes often host guest lectures, invite AI practitioners for interactive sessions, and provide real-world problem statements from enterprise partners. These interactions allow students to understand current market requirements and trends in agentic system deployment.

Mentorship plays a key role in the learning journey. Students are paired with mentors who guide them through project development, career choices, research exploration, and system architecture design. This continuous support helps learners translate knowledge into actionable outcomes.
 

Research-Focused and Innovation-Driven

The Agentic AI Training in Kurla also places significant emphasis on research and innovation. Learners are encouraged to investigate open problems, submit papers to conferences, and explore ethical and societal implications of autonomous systems. Research-focused learners have access to resources like datasets, publication tools, and academic supervision.

This orientation fosters a deeper understanding of cutting-edge developments such as agent cooperation, multi-agent learning, adversarial decision-making, explainable autonomy, and agent ethics. It also paves the way for those interested in pursuing higher education, Ph.D. programs, or contributions to global AI research communities.
 

Building a Strong Agentic AI Portfolio

In today’s competitive AI landscape, having a solid portfolio is crucial. The Agentic AI Classes in Kurla ensure that every learner graduates with a collection of practical projects, real-world simulations, and documented agent designs. These portfolios reflect the learners’ capability to implement autonomous systems across different sectors, showcasing both depth and application.

Projects may include autonomous navigation agents, decentralized marketplace simulations, agentic customer support systems, or collaborative multi-agent frameworks for logistics. These artifacts serve as proof of expertise and become critical assets during job searches, startup pitches, or research applications.
 

Key Highlights of Agentic AI Course in Kurla

SevenMentor Training offers an end-to-end ecosystem that promotes technical growth, practical application, and career development. Key highlights include:

  • Modular and adaptive learning paths that accommodate diverse backgrounds and career goals.
  • Access to simulation environments and agent modeling frameworks for real-time testing.
  • Exposure to industry case studies and domain-specific challenges.
  • Integration of ethical and safety considerations in agent design.
  • Project reviews, peer evaluations, and code documentation standards.
     

These components ensure that learners not only understand agentic systems but can also design and implement them in real-world contexts.
 

Career Readiness and Placement Support

A major outcome of the Agentic AI Training in Kurla is career transformation. Institutes provide structured support in resume building, technical interview preparation, portfolio curation, and personal branding. Placement cells connect learners with AI recruiters, startups, and innovation hubs looking for Agentic AI specialists.

Through mock interviews, career counseling, and recruiter connections, learners are equipped to transition into high-impact roles or launch their entrepreneurial ventures with confidence. Many students have also gone on to contribute to open-source agent frameworks or consult on intelligent automation initiatives.
 

Online Classes

For those unable to attend on-site programs, the online Agentic AI Course in Kurla offers a fully interactive digital learning experience. Hosted on a secure and scalable learning management system, it includes live instructor-led sessions, self-paced modules, collaborative coding environments, real-time agent simulations, and mentor-led project reviews. Learners can participate from any location, balancing professional commitments with deep technical learning. The online format mirrors the in-class rigor and allows learners to collaborate virtually, present their work, and receive personalized feedback from industry experts—making it an ideal option for working professionals and remote learners.

 

Corporate Training

Enterprises seeking to embed intelligent autonomy into their workflows can leverage corporate Agentic AI Training in Kurla for team upskilling. These programs are customized based on organizational needs, whether it's deploying agentic systems for supply chain optimization, building customer service bots, or developing autonomous cybersecurity solutions. Delivered via hybrid or on-site models, the training focuses on application, scalability, and performance metrics. Post-training support, evaluation dashboards, and use-case-driven exercises ensure measurable business outcomes. Companies benefit not only from skilled teams but also from the strategic advantage of adopting forward-looking AI solutions with internal expertise.

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.

Explore Other Demanding Courses

No courses available for the selected domain.