Agentic AI Classes in Bandra

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

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Jan 4 - Jan 10

2 sessions
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Sun
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10
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Classroom/ Online
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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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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 is rapidly transforming industries, and Agentic AI represents a cutting-edge leap in this field. Businesses are seeking professionals who can build intelligent agents that learn, adapt, and execute complex tasks autonomously. To meet this demand, Agentic AI Classes in Bandra at SevenMentor offer a structured approach to mastering these next-generation AI concepts. These classes focus on technical proficiency, practical implementation, and real-world applications, preparing learners for competitive roles in AI-driven industries.
 

Introduction to Agentic AI Technology

The term "agentic AI" describes intelligent systems that use sophisticated algorithms, reinforcement learning, and real-time decision-making to function independently with little assistance from humans. By combining self-optimization strategies, multi-agent cooperation, and adaptive behaviours, it surpasses conventional machine learning. The extensive curriculum that SevenMentor's Agentic AI Courses in Bandra covers the fundamental ideas, agent architectures, and sophisticated programming frameworks needed to create scalable AI systems.
 

Technical Scope of Agentic AI Training in Bandra

The curriculum for Agentic AI training in Bandra offered by SevenMentor emphasizes both theoretical knowledge and practical execution. Students spend a lot of time studying ideas like environment-driven adaptability, policy gradient approaches, multi-agent systems, intelligent decision-making, and natural language interaction. Additionally, the training explores cloud-based AI agent deployment, real-time data processing, and sophisticated optimisation methods that enable agents to effectively complete challenging tasks.

Practical labs focus on the use of programming languages like Python, frameworks such as TensorFlow and PyTorch, and specialized libraries for reinforcement learning. The structured methodology ensures that learners progress from core AI concepts to agent-specific frameworks, creating a solid foundation for high-performance autonomous systems. This technical rigor is what makes SevenMentor the best training institute for Agentic AI Training, offering unparalleled expertise and state-of-the-art resources.
 

Curriculum Overview and Learning Outcomes

The coursework for Agentic AI Classes in Bandra at SevenMentor is designed to create professionals capable of handling end-to-end AI projects. The curriculum starts with fundamental AI principles and transitions to advanced agent design, environment simulation, and deployment strategies. Students learn to Design intelligent agents capable of adaptive behavior, Implement reinforcement learning algorithms for continuous improvement, Integrate natural language understanding to enhance human-AI interactions, Utilize cloud-based platforms for deploying and scaling agentic systems, and Apply ethical AI practices to ensure compliance and responsible innovation.

Upon completion, learners can confidently develop autonomous solutions applicable in industries such as robotics, finance, logistics, healthcare, and smart manufacturing. This outcome-driven approach reinforces why Agentic AI Courses in Bandra offered by SevenMentor stand as a benchmark for professional AI education.
 

Advanced Tools and Frameworks Used in Training

One of the distinctive features of Agentic AI training in Bandra is the use of cutting-edge tools and frameworks. Students get hands-on experience with simulation environments like Unity ML-Agents and OpenAI Gym for building and testing multi-agent scenarios. For reinforcement learning studies, sophisticated libraries such Ray RLlib and Stable Baselines are utilised, and real-time deployment infrastructure is offered by cloud platforms like AWS, Azure, and GCP.

An essential component of the learning process is experiential projects, which allow participants to create practical applications like AI-powered trading bots, self-navigating systems, and enterprise decision-support agents. The access to these tools ensures a high level of industry relevance and technical competence, which is a hallmark of SevenMentor the best training institute for Agentic AI Training.
 

Expert-Led Instruction and Practical Methodology

The faculty leading Agentic AI Classes in Bandra offered by SevenMentor comprises industry professionals and AI researchers with extensive experience in building scalable intelligent systems. The teaching methodology blends technical lectures, coding workshops, and real-time simulations, ensuring that learners grasp both the conceptual and practical dimensions of agentic AI.

The hands-on approach involves multiple stages of skill development: understanding algorithms, writing efficient code, optimizing agent performance, and integrating AI solutions into enterprise environments. The continuous mentorship provided by SevenMentor, the best training institute for Agentic AI Training ensures that learners are job-ready and equipped with advanced problem-solving abilities.
 

Real-World Applications and Career Prospects

Agentic AI professionals are in high demand across industries that require intelligent automation and adaptive decision-making. From self-driving vehicles to AI-powered healthcare diagnostics, the applications are vast and transformative. Learners completing Agentic AI Courses in Bandra acquire skills relevant to high-growth roles such as AI Solution Architect, Reinforcement Learning Engineer, and Autonomous Systems Developer.

Additionally, corporate sectors are actively seeking talent capable of integrating AI agents into enterprise workflows to optimize operations, enhance predictive analytics, and drive innovation. Graduates of Agentic AI training in Bandra are therefore well-positioned for competitive career opportunities in global AI markets.
 

Learning Environment and Infrastructure

The learning experience at Agentic AI Classes in Bandra is supported by an advanced training infrastructure featuring high-performance computing labs, GPU-powered systems, and cloud integration capabilities. Students have access to live servers for running simulations and testing agentic models in real-time environments.

Moreover, the interactive learning platform offered by SevenMentor, the best training institute for Agentic AI Training allows participants to access recorded sessions, project libraries, and additional learning resources. This ensures a seamless learning journey, whether students attend sessions in person or opt for digital learning formats.
 

Why Choose SevenMentor for Agentic AI Training?

The reputation of SevenMentor, the best training institute for Agentic AI Training stems from its strong focus on delivering technically robust and industry-relevant education. The institute emphasizes skill-building through practical exposure, expert mentorship, and project-driven learning. Additionally, its placement-oriented training ensures that learners are fully prepared to enter high-demand AI roles immediately after course completion.

The curriculum design, use of advanced tools, and commitment to excellence make Agentic AI Classes in Bandra a preferred choice for aspiring AI professionals. By combining theoretical rigor with hands-on applications, SevenMentor ensures a learning experience that meets global standards in AI education.

The rise of intelligent autonomous systems highlights the need for advanced AI education, and Agentic AI Courses in Bandra provide the ideal platform to meet this demand. With a curriculum that integrates deep technical knowledge, real-world application, and cutting-edge frameworks, learners gain a competitive edge in the evolving AI landscape. Supported by SevenMentor, the best training institute for Agentic AI Training, participants receive world-class instruction and access to industry-relevant projects, ensuring they are fully prepared for a future driven by intelligent technologies.

 

Online Classes

SevenMentor offers comprehensive and structured online Agentic AI Classes in Bandra  without compromising on technical depth. Students can attend live interactive sessions, access virtual labs, and work on real-time projects from any location. The training platform includes cloud-based environments where learners can run simulations and deploy AI agents, ensuring practical exposure similar to physical classroom setups.

Online learning is supported by round-the-clock access to recorded lectures, project files, and technical resources. Mentors provide personalized guidance through virtual meetings, doubt-clearing sessions, and code reviews. This structured approach ensures that remote learners gain the same level of expertise as those attending classroom-based sessions.

 

Corporate Training

SevenMentor also offers customized corporate Agentic AI Training in Bandra designed specifically for enterprise needs. These programs are tailored to align with industry requirements, focusing on building agentic systems that drive operational efficiency and innovation.

The corporate training by SevenMentor, the best training institute for Agentic AI Training combines case studies, real-time problem-solving, and deployment strategies, enabling teams to apply learned concepts directly to business environments. Customized learning paths ensure that professionals acquire skills relevant to their roles, helping enterprises stay competitive in an AI-driven economy.

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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