Mastering Agentic AI with demo sessions
This intensive 5 hour workshop focuses on enabling participants to understand, design, and implement Agentic AI systems. Participants will gain hands-on experience in creating autonomous AI agents that learn, adapt, and act intelligently within complex environments.
*Based on feedback received from 3000+ participants
- Comprehensive understanding of Agentic AI concepts, tools, and techniques
- Hands-on experience in building and deploying simple autonomous AI agents
- Knowledge of ethical considerations and best practices in AI development
- Practical insights into real-world applications across industries
- A capstone project showcasing a prototype for future development.
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PAYAL CHOPRA
EXCELLENT & VERY KNOWLEDGEABLE TEAM ! VERY GOOD SESSIONS ON NEW AGE TOOLS LIKE AI / GEN AI, ML & DL WHERE WE LEARNT A LOT ! THE BEST PART IS UNLIKE A LOT OF ONLINE COURSES, THIS TEAM IS VERY INTERACTIVE AND RESPONSIVE. LOVED THE 2 DAY SESSION !

ARIF MOHD
IT WAS INSIGHTS FULL AND EXCELLENT SESSION ARRANGED BY TEAM

HRADHA SELARKA
SESSION WAS REALLY GOOD.VERY INFORMATIVE. HISTORY AND EVOLUTION OF DL N LLM

HIMANSHU VAIDYA
QUITE INSIGHTFUL! NICELY COVERED CONCEPTS FROM AI TO LLM. AGE OF CONTENT FROM AI TO LLM

RAMESH KANAMARLAPUDI
COMPREHENSIVE SESSION... GLAD THAT I AM HERE

ASEEM KALIYA
WHAT WE LEARNT THE MOST CONTENT AND PRESENTATION SKILL

GANESH JAGNADE
IT WAS AN AWESOME EXPERIENCE ATTENDING THIS PROGRAM. THE TRAINER FOR BOTH DAY'S SESSION SPOKE ELOQUENTLY. THE TRAINING WAS SO INNOVATIVE, INFORMATIVE, AND INSTRUCTIVE, LINKING OUR MINDS TO IDEAS, POSSIBILITIES, AND UNFORESEEN CIRCUMSTANCES THAT WE FACE DAILY IN PROJECTS. FEW SIMPLE TIPS TO MAKE WORK EFFICIENT, LIKE EXCEL FORMULAS ETC. WERE REALLY SURPRISES HOW FAST IT CAN BE WITH THE HELP OF FEW STEPS IN AI. I ENJOYED IT A LOT, LOOKING FOR MORE SUCH TRAINING IN FUTURE.
Programme Overview
This two-day Mastering Agentic AI immersive workshop is designed to equip participants with a strong theoretical and practical understanding of Agentic AI, focusing on its design, implementation, and deployment. The sessions aim to balance foundational knowledge with hands-on exercises to ensure participants can create autonomous systems capable of adapting, learning, and making decisions in dynamic environments. This workshop equips participants with foundational knowledge, hands-on expertise, and strategic insights into designing and implementing Agentic AI systems. Through demos, interactive sessions, and practical exercises, participants will learn to build autonomous AI agents that interact intelligently with their environment.
Who is this Programme for?
- Software Developers and Engineers - To build hands-on expertise in designing and deploying AI agents for real-world application
- Technology Enthusiasts and Researchers - To gain foundational knowledge and hands-on exposure to Agentic AI for their projects or research work
- Business Leaders and Decision-Makers - To understand the strategic value of Agentic AI, explore its business applications, and align its implementation with organizational goals.
- Professionals Transitioning into AI Roles - to reskill and transition into AI-focused roles with practical, project-based learning.
- Entrepreneurs and Startups to cater to different expertise levels, with a strong emphasis on hands-on learning, making it accessible for those starting their AI journey
- Graduate or postgraduate students in computer science, engineering, or related fields.
Why should you attend
To address In-Depth Understanding of Agentic AI
To Hands-On Experience with Cutting-Edge Tools Solutions
Build Multi-Agent Systems Learn how these systems are applied in industries like gaming, finance etc
Advanced Techniques in Reinforcement Learning (RL) techniques to train intelligent agents
Address Real-World Ethical Considerations
Delivered by Industry’s top 1% Faculty
Industry-Relevant Use Cases and Applications
Address Real-World Capstone Project to Build Your Own AI Agent
Learning Outcomes
This program helps to focus on Comprehensive Understanding of Agentic AI. Differentiate between traditional AI models and autonomous, goal-oriented Agentic AI systems.
This program helps to apply Deep Reinforcement Learning techniques to enhance decision-making abilities of AI agents in dynamic environments
The program helps to gain hands-on experience with popular Agentic AI tools and frameworks such as OpenAI Gym, TensorFlow, and PyTorch >
Design and Implement Multi-Agent Systems Understand the principles of multi-agent systems, including cooperation and competition dynamics.
Ethical and Practical Decision-Making Frameworks > deliver clear, concise & compelling messages that resonate with diverse audiences
Ability to Create and Deploy AI Agents in Real-World Scenarios ability to build autonomous agents
Programme Modules
- What is Agentic AI?Evolution of AI: From Reactive to Agentic systems.
- Key characteristics of autonomous agents (learning, decision-making, adaptability).
- Real-world applications: Healthcare, finance, robotics, customer support.
Activities
- Case study analysis of Agentic AI in action.
- Interactive Q&A session.
Learning Outcomes:
- Understand the definition and capabilities of Agentic AI.
- Recognize where and how Agentic AI is applied in the industry
Topics Covered:
- Core components: Perception, reasoning, action, learning.
- Designing goal-oriented behavior.
- Data-driven vs. model-based approaches.
- Tools and frameworks for Agentic AI development.
Activities:
- Demonstration of AI agents in simulated environments.
- Hands-on exercise: Setting up a simple Agentic AI using Python (e.g., OpenAI Gym).
Learning Outcomes:
- Identify essential components required for building Agentic AI.
- Gain basic hands-on exposure to Agentic AI tools.
Ethical and Practical ConsiderationsÂ
- Topics Covered:
- Ethics in autonomy: Decision-making frameworks.
- Bias, accountability, and transparency in Agentic AI.
- Ensuring safe and reliable autonomous systems.
- Activities:
- Group discussion: Ethical dilemmas in Agentic AI.
- Mini-project: Designing ethical guidelines for an AI agent.
- Learning Outcomes:
- Develop an understanding of ethical challenges in deploying AI agents.
- Create strategies for ensuring accountability and safety in AI.
Advanced Techniques in Agentic AI (3 hours)
- Reinforcement Learning (RL) and its role in Agentic AI.
- Multi-agent systems: Collaboration and competition.
- Introduction to deep reinforcement learning.
Activities:
- Hands-on workshop: Training an agent using RL in Python.
- Building and testing a multi-agent system.
Learning Outcomes:
- Apply RL techniques to design adaptive AI agents.
- Understand the dynamics of multi-agent interactions.
AI in Action – Real-World Demo
- Topics Covered:
- Industry case studies: Successful Agentic AI implementations.
- Agentic AI for predictive analytics, chatbots, and robotics.
- Integration of Agentic AI with business processes.
- Activities:
- Demo of pre-built Agentic AI systems in various domains.
- Group activity: Brainstorming innovative use cases.
- Learning Outcomes:
- Learn how Agentic AI is transforming industries.
- Identify potential applications for personal or organizational use.
Â
Capstone ProjectÂ
- Building your own Agentic AI prototype.
- Presenting the prototype to peers.
- Workshop recap and next steps.
- Activities:
- Hands-on project development with expert guidance.
- Learning Outcomes:
- Gain confidence in designing and presenting Agentic AI solutions.
- Develop a roadmap for further learning and implementation.
- Peer review and feedback session.
- Wrap UpÂ
- AssessmentÂ
- Certificate
Pradeepta Mishra

Chief Mentor Profile
Pradeepta Mishra is a distinguished AI and Machine Learning leader with over two decades of experience, specializing in applied AI, deep learning, and data science and an author of Agentic Intelligence: AI Systems That Think for Themselves.
Recognized as one of the 40 Under 40 Data Scientists in both 2019 and 2020, he is known for his cutting-edge contributions to AI, holding 15 patents and authoring 11 books.
As a visiting faculty at prestigious institutions such as IITs and IIMs, Pradeepta actively shares his expertise, mentoring the next generation of AI innovators.
He is also a TEDx speaker, startup mentor, and AI/ML trainer with a passion for practical, explainable AI solutions.
Sample Certificate

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