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Agent Based Modeling Training

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Advance your skills with Multisoft Virtual Academy’s Agent Based Modeling Training. Learn to design intelligent agents, build dynamic simulations, and analyze emergent behaviors using leading ABM tools. Ideal for data scientists, analysts, researchers, and professionals seeking powerful modeling techniques to solve complex real-world challenges.

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Instructor-led Training Live Online Classes

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13 Dec 2025	24	06:00 PM - 09:00 PM	Sat, Sun
14 Dec 2025	24	06:00 PM - 09:00 PM	Sat, Sun
20 Dec 2025	24	06:00 PM - 09:00 PM	Sat, Sun
21 Dec 2025	24	06:00 PM - 09:00 PM	Sat, Sun

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Instructor-led Training Live Online Classes

13 Dec 2025	24	06:00 PM - 09:00 PM	Sat, Sun
14 Dec 2025	24	06:00 PM - 09:00 PM	Sat, Sun
20 Dec 2025	24	06:00 PM - 09:00 PM	Sat, Sun
21 Dec 2025	24	06:00 PM - 09:00 PM	Sat, Sun

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Online Self Learning Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You’ll learn through videos, PPTs and complete assignments, projects and other activities designed to enhance learning outcomes, all at times that are most convenient to you.

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Course Highlights

Duration: 24 Hrs.
Subject Matter Expert
After Training Support
Lifetime E-Learning Access
Recorded Sessions
Free Online Assessments

One to One Training

Agent Based Modeling Training Course Syllabus

Curriculum Designed by Experts

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Agent Based Modeling (ABM) has become one of the most powerful techniques for understanding, simulating, and predicting the behavior of complex systems. Multisoft Virtual Academy’s Agent Based Modeling Training is designed to equip learners with the essential skills required to build intelligent, dynamic, and adaptive simulations using autonomous agents. This course introduces the core principles of ABM, including agent behavior, interaction rules, environment structures, emergence, and system-level outcomes. Participants will gain hands-on experience with leading ABM tools such as NetLogo, AnyLogic, or Python-based frameworks like Mesa. Through real-world examples, you will learn how agents make decisions, respond to stimuli, and create emergent patterns that cannot be understood through traditional modeling techniques. The training covers model design, implementation, calibration, verification, and validation, ensuring you develop reliable and meaningful simulations.

This program is ideal for data scientists, analysts, researchers, and professionals working in fields such as economics, healthcare, social sciences, urban planning, ecology, and complex systems analysis. By the end of the course, you will be able to design your own agent-based models, run experiments, analyze results, and apply ABM to solve business, technical, and research challenges. Multisoft Virtual Academy ensures an industry-oriented, practical learning experience to enhance your decision-making and analytical capabilities.

Agent Based Modeling (ABM) training teaches learners how to simulate complex systems by modeling individual agents and their interactions. It focuses on understanding how simple rules at the micro level create emergent patterns at the macro level. Through hands-on practice with tools like NetLogo, AnyLogic, or Mesa, participants learn to design agents, build environments, run simulations, and analyze outcomes. This training is ideal for professionals seeking data-driven insights for decision-making in business, engineering, healthcare, social sciences, and research.

Understanding complex adaptive systems
What is ABM? When and why to use it
Key components: agents, environment, interactions, rules
Comparison with System Dynamics & Discrete Event Simulation
Real-world applications across industries

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Agent attributes and behaviors
Autonomous decision-making
Reactive vs Proactive agents
Learning agents and adaptive behavior
Agent communication & social networks
Heterogeneity and stochastic elements

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Types of environments (grid, network, continuous space)
Movement rules and constraints
Local vs global interactions
Feedback loops & emergent phenomena
Modeling contagion, influence, competition, and cooperation

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Overview of popular ABM platforms:

NetLogo
AnyLogic
Mesa (Python)
Repast

Platform selection criteria
Introduction to the course-specific ABM tool (customized based on learner preference)

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Problem definition & model objectives
Identifying agent types & states
Mapping agent rules and interactions
Building environment structure
Time scheduling & simulation cycles
Setting global parameters & assumptions

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6.1 Creating Agents

Defining breeds
Assigning attributes
Designing behavior procedures

6.2 Environment Setup

Building grids/networks
Importing GIS data (if required)

6.3 Designing Interactions

Movement, communication, influence
Resource exchange
Collision & conflict resolution

6.4 Model Visualization

Interface design
Animation & data displays
Plotting real-time results

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Parameter calibration techniques
Sensitivity analysis
Statistical validation
Debugging ABM
Ensuring model reliability

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Importing datasets
Running experiments and scenarios
Parameter sweeps and Monte Carlo simulations
Generating outputs for analysis

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Complex networks & graph-based modeling
Social influence and contagion models
Evolutionary algorithms in ABM
Machine learning + ABM hybrid systems
Multi-layer and multi-scale modeling

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Agent Based Modeling Training Description

Understand the fundamental concepts of Agent Based Modeling and its role in simulating complex adaptive systems.
Learn to design agents with defined attributes, behaviors, and decision-making logic.
Build and structure environments where agents interact, evolve, and influence outcomes.
Develop hands-on expertise in leading ABM tools such as NetLogo, AnyLogic, or Python-based Mesa.
Model real-world scenarios using agent interactions, feedback loops, and emergent behavior patterns.
Apply stochastic processes, network models, and rule-based simulations to various domains.
Integrate real data into simulation models for accurate and meaningful insights.
Conduct parameter tuning, sensitivity analysis, and scenario-based experiments.
Validate, verify, and optimize ABM models for real-world problem-solving.
Analyze model outputs to generate predictions, insights, and strategic recommendations.
Build end-to-end capstone models that demonstrate practical ABM implementation.

Business Analysts
System Modelers
Simulation Engineers
AI & ML Professionals
Economists and Financial Analysts
Operations and Supply Chain Analysts
Public Health & Epidemiology Professionals
Environmental and Ecological Scientists
Software Developers
Urban Planners and Policy Analysts

Basic understanding of mathematics and logical reasoning
Familiarity with fundamental programming concepts
General knowledge of modeling or simulation concepts is helpful

Agent Based Modeling Training Certification

Multisoft Virtual Academy provides a globally recognized training certificate to the participants, after successful completion of a training program. The training certificates are recognized and accepted across the world.

Multisoft Virtual Academy's training certificate comes with lifetime validity.

Aspirants can directly enroll for the desired course from the Book Now Button in the course page. You can also connect on Whatsapp at +91 8130666206 to talk with a training advisor. Multisoft Virtual Academy also offers customized training programs on a wide range of domains and skills.

All training programs offered by Multisoft Virtual Academy are delivered by certified industry experts, who have years of experience in the relevant domains. Multisoft Global Subject Matter Experts impart knowledge on a wide variety of training courses through one –on-one and corporate training sessions.

Multisoft Virtual Academy training certification can help participants stand out in the competitive job market. Since the training certificates are internationally accepted, participants can showcase their skills and knowledge to employers across the world.

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Agent Based Modeling Corporate Training Certification

Interactive Virtual Training

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Step-by –Step Learning Approach
Instant Doubt Clearing

Lifetime Access

Lifetime E-learning Access
Recorded Training Session Videos
Free Access to Practice Tests

24x7 Assistance

Help Desk Support
Doubt Resolution in Real-time
After Training Support

Hands on Experience

Project Based Learning
Learning based on real-life examples
Assignments and Practice Tests

Globally Recognized Certificate

Multisoft Training Certificate
Globally Recognized and Accepted
Lifetime Validity

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Agent Based Modeling Training FAQ's

Yes. The course starts with foundational concepts and progresses to advanced modeling techniques, making it ideal for beginners and experienced professionals.

Yes. You will develop hands-on simulation models and complete a capstone project demonstrating practical application.

ABM skills enhance roles in data science, research, simulation engineering, decision analytics, policy modeling, and system design.

Yes. Multisoft Virtual Academy provides a training completion certificate recognized across industries.

To contact Multisoft Virtual Academy you can mail us on enquiry@multisoftvirtualacademy.com or can call for course enquiry on this number +91 8130666206

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Agent Based Modeling Training

Start Date	No. of Hrs	Time (IST)	Day	Price
13 Dec 2025	24	06:00 PM - 09:00 PM	Sat, Sun	$ 650
14 Dec 2025	24	06:00 PM - 09:00 PM	Sat, Sun	$ 650
20 Dec 2025	24	06:00 PM - 09:00 PM	Sat, Sun	$ 650
21 Dec 2025	24	06:00 PM - 09:00 PM	Sat, Sun	$ 650

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Agent Based Modeling Training

Ready to Up-Skill yourself !

Instructor-led Training Live Online Classes

Suitable batches for you

$ 650

Talk to our training advisor

Instructor-led Training Live Online Classes

Online Classroom Training

$ 650

Self-Paced Learning

$ 650

Corporate Training

Talk to our training advisor

Course Highlights

Curriculum Designed by Experts

Agent Based Modeling Training Course Overview

Module 1: Introduction to Agent-Based Modeling

Module 2: Core Concepts of Agents

Module 3: Environments & Agent Interactions

Module 4: Modeling Frameworks & Languages

Module 5: Designing an Agent-Based Model

Module 6: Implementing ABM in NetLogo/AnyLogic/Mesa (Choose One or Hybrid Approach)

Module 7: Calibration, Verification & Validation

Module 8: Data Integration & Experimentation

Module 9: Advanced ABM Concepts

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Agent Based Modeling Training Description

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Agent Based Modeling Training Certification

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Agent Based Modeling Corporate Training Certification

Interactive Virtual Training

Lifetime Access

24x7 Assistance

Hands on Experience

Globally Recognized Certificate

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Agent Based Modeling Training FAQ's

1. Is this training suitable for beginners?

2. Will I build real ABM models during the course?

3. What career benefits does ABM training offer?

4. Do I get a certificate after completing the training?

5. How to contact Multisoft Virtual Academy for further details?

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What Attendees Are Saying

- Apoorva Mishra

- Mukteshwar Pandey

- Faheem Khan

- Roopali Garg