Agentic AI Course Overview

Agentic AI is a sea change in thinking about how artificial intelligence interacts with the world: from a static system that simply reacts to user input to one in which machines reason, plan, and execute complex tasks through dynamic goal-driven behaviour. This course is designed to take the learner on a journey deep into the design, architecture, and deployment of agent-based systems.

In this course, you will start by understanding the logic behind autonomous agents, multi-agent collaboration, and reinforcement learning principles. You will then explore how large language models can power AI agents capable of communicating, planning, and adapting. Practical labs also include the development of AI agents for data automation, intelligent assistants, customer experience solutions, and decision-support tools.

Through guided projects, research-based learning, and real-world case studies, you will be enabled to graduate and design self-learning, intelligent AI ecosystems akin to human reasoning. This course will provide the required competencies to any data scientist, developer, or technology enthusiast in order to drive the next wave of AI innovation.

Why Choose Gyansetu’s Agentic AI Course?

Learn from leading specialists in the field and acquire practical skills developed in a real-world setting.

  • Hands-on Agent Development: Building and deploying intelligent agents using LLMs, APIs, and Python.
  • Industry-Relevant Tools: Work with OpenAI frameworks, LangChain, CrewAI, AutoGen, and ReAct architectures.
  • Capstone Project: design your own agentic AI solution for enterprise or personal applications.
  • Expert Mentorship: Get mentored by top-notch AI experts with experience in implementing AI globally.
  • Career Assistance: You’ll get placement assistance along with interview preparation focused on AI.

Agentic AI Course and Certification

Key Highlights of Agentic AI Course

100% Placement Support
Free Course Repeat Till You Get Job
Mock Interview Sessions
1:1 Doubt Clearing Sessions
Flexible Schedules
Real-time Industry Projects

Placement Stats

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Maximum salary hike
170%
Average salary hike
90%

Our Alumni in Top Companies

Agentic AI Course Placement Highlights

Avinash
74 % Hike
Data Analyst
NTK
Google
Data Analyst
Google
Priya Paswan
57 % Hike
Sales Consultant
Hear.com
Senior Data Analyst
Vistara

Batches Timing for Agentic AI Course

Track Weekdays (Tue-Fri) Weekends (Sat-Sun) Fast Track
Course Duration 4 Months 6 Months 30 Days
Hours Per Day 2-3 Hours 3-4 Hours 6 Hours
Training Mode Classroom/Online Classroom/Online Classroom/Online

Agentic AI Course Professional Certification

On completion, you will be provided with the Agentic AI Professional Certification by Gyansetu, which is globally recognized and certifies your skills in the design and deployment of autonomous AI systems. It reflects your capability to architect next-generation AI solutions that can perceive, reason, and act independently.

This certification reflects proficiency in fundamental agent-based learning, coordination strategies, and environmental modeling. Employers value the certified candidates for their strong practical foundations regarding autonomous system design, handling complex decision pipelines, and becoming ready for the integration of AI agents in modern digital ecosystems.

Your certification journey involves assessments, project reviews, and a final capstone evaluation to ensure deep conceptual and applied understanding. With Gyansetu’s learning model, you can be sure that you are making progress by getting constant feedback and evaluations. The certification adds real value to your professional portfolio by showing that you have hands-on experience with LLM orchestration, memory management, and real-world autonomous execution pipelines.

As the AI industry quickly moves from predictive to proactive systems, certified professionals in agentic AI will lead the way in new ideas in many areas, from automating business processes to scientific simulations. Become part of an elite group of AI experts at Gyansetu who are building the next level of intelligence.

Agentic AI Course Curriculum

Learn the core concepts of agentic AI, how it has evolved, and how autonomous agents differ from traditional AI. Master agent architectures, decision-making frameworks, and how large language models can be used to power intelligent agents.

Introduction to Agentic AI 5 Topics
  • What is Agentic AI?
  • History and evolution of agent-based systems
  • Key characteristics of intelligent agents
  • Types of agents: reactive, deliberative, hybrid
  • Real-world applications and use cases
Agent Architectures 5 Topics
  • Belief-Desire-Intention (BDI) model
  • Utility-based agents
  • Learning agents and adaptive architectures
  • Overview of multi-agent systems
  • Agent communication languages (ACL)
Agent Programming and Tools 5 Topics
    • Introduction to agent programming languages: e.g., Jason, AgentSpeak
    • Building simple agents with Python (using libraries like Mesa)
    • Integrating the agents with APIs and external systems
    • Debugging and testing agent behavior
    • Visualization and simulation tools
  • Reinforcement learning for agents
  • Supervised and Unsupervised Learning in Agent Systems
  • Transfer learning and meta-learning for agents
  • Adaptive decision-making strategies
  • Case studies: Learning agents in dynamic environments
  • Agent coordination and cooperation
  • Game theory and agent interactions
  • Negotiation and bargaining protocols
  • Swarm intelligence and collective behavior
  • Applications: smart cities, robotics, supply chain
  • Ethical considerations in agent design
  • Bias and fairness in agent decision-making
  • Safety mechanisms and fail-safes
  • Regulatory frameworks and compliance
  • Responsible deployment of agent systems
  • Autonomous agents in robotics
  • Agents in finance and trading
  • Agents for Health Care and Personalised Services
  • Agent-based modeling for social sciences
  • Future trends: Self-improving agents, artificial general intelligence (AGI)

Industry Ready Agentic AI Projects

Designed by Industry Experts
Get Real-World Experience
CampusMate – Multi-Agent Student Support System

A learning-oriented project where students build a multi-agent system that assists with campus-related queries. Different agents handle schedules, course info, event reminders, and study recommendations. A central “Coordinator Agent” delegates tasks and merges responses.

AutoResearch Lab – AI Research Assistant for Academic Projects

A supervised multi-agent tool where a Research Agent gathers sources, a Writer Agent drafts sections, and a Review Agent checks quality and academic integrity. This project teaches students how agents can collaborate to produce structured research outputs responsibly.

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320+
Hours of content
video
80+
Live sessions
hammer
7+
Tools and software

Agentic AI Skills you can add in your CV

Agentic AI Tools Covered

What Sets This Program Apart?

GyanSetu
Other Courses
all-in-one All-in-One Toolkit
Complete stack including Gen AI, Agentic AI, Python, Power BI, SQL, Excel, and AI tools in one unified learning path.
Limited topics and outdated tools, missing Gen AI and Agentic AI skills.
progress-icon Beginner-to-Pro
Starts from zero—learn fundamentals, LLM logic, agents, tools, and advanced workflows step-by-step.
Assumes prior AI knowledge, leaving beginners confused & overwhelmed..
focused Career-Focused Tracks
Choose your specialization – AI Automation Specialist, AI Workflow Engineer, or Agentic AI Developer. .
One-size-fits-all content with no role-based learning.
How-to-Become-a-Data-Analyst Real Industry Exposure
25+ automation projects + 2 live Agentic AI capstone systems built using real business workflows.
Only basic academic projects, no real-world AI system development.
expertise Legacy & Expertise
Founded by IIIT-H alumni with 15+ years of AI, ML, and enterprise automation experience.
Mostly theory with no real AI building practice.
practice Practice Over Theory
70% hands-on building AI agents, workflow chains, automation pipelines & real product simulations.
Mostly theory with no real AI building practice.
mentorship Expert Mentorship
Learn directly from AI engineers working at OpenAI, Microsoft, and leading automation startups. .
Generic instructors with no real AI project experience.
course in gurgaon
Who is this course for?
  • Students and Recent Graduates
  • Working Professionals
  • Career Changers
  • IT Professionals
  • Educators and Academic Researchers
  • Entrepreneurs and Business Owners

Career Assistance for Agentic AI

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Job Opportunities Guaranteed

Get a 100% Guaranteed Interview Opportunities Post Completion of the training.

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Access to Job Application & Alumni Network

Get chance to connect with Hiring partners from top startups and product-based companies.

Mock Interview Session

Get One-On-One Mock Interview Session with our Experts. They will provide continuous feedback and improvement plan until you get a job in industry.

Live Interactive Sessions

Live interactive sessions with industry experts to gain knowledge on the skills expected by companies. Solve practice sheets on interview questions to help crack interviews.

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Career Oriented Sessions

Personalized career focused sessions to guide on current interview trends, personality development, soft skill and HR related questions.

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Resume & Naukri Profile Building

Get help in creating resume & Naukri Profile from our placement team and learn how to grab attention of HR’s for shortlisting your profile.

Top Companies Hiring for Agentic AI Role

Honours & Awards Recognition

Awarded by GD Goenka University
GD Goenka University
Gyansetu conducted Power BI training for Livpure employees
Livpure
Gyansetu conducted Advanced Excel training for Denso International Employees
Denso International
Gyansetu conducted Full Stack Development training for ReverseLogix employees
ReverseLogix
Gyansetu conducted Advanced Java training for BML Munjal University students
BML Munjal University
Gyansetu conducted workshop on Cloud Computing and Data Analytics for Manav Rachna University students
Manav Rachna University
Gyansetu conducted Java workshop for GLA University students
GLA University
Gyansetu conducted Data Analytics Workshop for DPGITM students
DPGITM
Certificate Issued to Gyansetu by GD Goenka University
GD Goenka University

FOR QUERIES, FEEDBACK OR ASSISTANCE

Contact Gyansetu Learner Support

Our Learners Testimonials

Ankita Mishra
Gyansetu’s commitment to practical learning has been evident throughout my journey as an Associate at EY. The institute’s focus on hands-on projects and real-world applications of Data Analytics principles equipped me with the skills and confidence needed to tackle complex business challenges in my role.
Anupriya Gupta
Transitioning into the role of Data Analyst at Google, I attribute much of my readiness to Gyansetu's practical learning environment. The institute's hands-on projects and real-world case studies provided me with the opportunity to develop the analytical skills necessary to thrive in a dynamic organization like Google.
Karan Bansal
I had a great learning experience with Gyansetu. The trainers were knowledgeable and supportive. The practical approach and hands-on training helped me in my work as an Insurance Operations Associate at Accenture.
self assessment
Self Assessment Test

Learn, Grow & Test your skill with Online Assessment Exam to achieve your Certification Goals.

Frequently Asked Questions

What is Agentic AI?

Agentic AI refers to intelligent systems that are able to reason, plan, and act independently. The agents may act autonomously and decide on dynamic execution of tasks based on goals, environments, and learned experiences.

Who can take this course?

This course is intended for data scientists, software developers, AI enthusiasts, and professionals who wish to develop expertise in autonomous AI systems. The course assumes foundational knowledge of Python and machine learning.

Is prior programming experience required?

No, it is not mandatory to have prior coding experience. Our curriculum covers all basic concepts and gradually advances which makes it easier to learn for beginners.

You will be working hands-on with LangChain, OpenAI API, Pinecone, CrewAI, AutoGen, and reinforcement learning frameworks to build complete AI agents.

Gyansetu provides online instructor-led as well as offline classroom sessions in selected cities of India, with timing flexibility. 

At Gyansetu, placement support is a part of our course. This is in the form of resume building, career mentorship, interview preparation for AI roles.

At Gyansetu, we teach all the skills that are required for this field. This includes integration of LLM, decision pipelines and reinforcement learning.

Yes, Gyasnetu’s certificate is recognized globally and highly valued by employers. This certificate also shows the skills of learners.

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