Agentic AI Foundations Training

Instructor-Led Training Parameters

Course Highlights

  • Instructor-led Online Training
  • Project Based Learning
  • Certified & Experienced Trainers
  • Course Completion Certificate
  • Lifetime e-Learning Access
  • 24x7 After Training Support

Agentic AI Foundations Training Course Overview

Step into the future of artificial intelligence with Multisoft Systems’ Agentic AI Foundations Training. This course equips you with the skills to design, build, and deploy autonomous AI agents that think, act, and adapt. Gain hands-on experience with modern frameworks, workflows, and real-world applications to stay ahead in AI innovation.

The Agentic AI Foundations Training by Multisoft Systems is a comprehensive program designed to equip professionals with the knowledge and practical skills required to build intelligent, autonomous AI systems. As organizations increasingly move beyond traditional rule-based automation toward self-directed, decision-making AI agents, this course provides a strong foundation to understand how these systems operate, interact, and evolve in real-world environments. This training introduces the core concepts of agentic AI, including goal-oriented agents, reasoning and planning, memory management, tool usage, and multi-agent collaboration. Learners will explore how autonomous agents perceive their environment, make decisions, take actions, and continuously improve through feedback loops. The course also covers modern frameworks and architectures used to design and deploy scalable agent-based systems. Through practical examples and hands-on exercises, participants will gain experience in building AI agents that can automate workflows, manage tasks, and solve complex problems with minimal human intervention. Real-world use cases across industries such as customer support, operations, data analysis, and digital assistants are used to illustrate how agentic AI drives business efficiency and innovation.

Whether you are an AI developer, data professional, or technology leader, this training enables you to confidently apply agentic AI principles to create smarter, more adaptive, and future-ready AI solutions.

Instructor-led Training Live Online Classes

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Agentic AI Foundations Training Course curriculum

Curriculum Designed by Experts

Step into the future of artificial intelligence with Multisoft Systems’ Agentic AI Foundations Training. This course equips you with the skills to design, build, and deploy autonomous AI agents that think, act, and adapt. Gain hands-on experience with modern frameworks, workflows, and real-world applications to stay ahead in AI innovation.

The Agentic AI Foundations Training by Multisoft Systems is a comprehensive program designed to equip professionals with the knowledge and practical skills required to build intelligent, autonomous AI systems. As organizations increasingly move beyond traditional rule-based automation toward self-directed, decision-making AI agents, this course provides a strong foundation to understand how these systems operate, interact, and evolve in real-world environments. This training introduces the core concepts of agentic AI, including goal-oriented agents, reasoning and planning, memory management, tool usage, and multi-agent collaboration. Learners will explore how autonomous agents perceive their environment, make decisions, take actions, and continuously improve through feedback loops. The course also covers modern frameworks and architectures used to design and deploy scalable agent-based systems. Through practical examples and hands-on exercises, participants will gain experience in building AI agents that can automate workflows, manage tasks, and solve complex problems with minimal human intervention. Real-world use cases across industries such as customer support, operations, data analysis, and digital assistants are used to illustrate how agentic AI drives business efficiency and innovation.

Whether you are an AI developer, data professional, or technology leader, this training enables you to confidently apply agentic AI principles to create smarter, more adaptive, and future-ready AI solutions.

  • Understand the core principles and architecture of Agentic AI systems
  • Learn how autonomous AI agents perceive, reason, and act in dynamic environments
  • Build and deploy goal-driven AI agents for real-world applications
  • Implement memory, planning, and decision-making mechanisms in AI agents
  • Explore multi-agent collaboration and task orchestration
  • Integrate tools, APIs, and external data sources with AI agents
  • Design scalable and reliable agentic AI workflows
  • Apply agentic AI to automate business processes and enhance productivity
  • Evaluate and optimize agent performance using feedback loops
  • Prepare for advanced development in autonomous and intelligent AI systems

Course Prerequisite

  • Basic understanding of Artificial Intelligence and Machine Learning concepts
  • Familiarity with at least one programming language (preferably Python)
  • Knowledge of data structures and algorithms

Course Target Audience

  • AI and Machine Learning Engineers
  • Software Developers and Programmers
  • Data Scientists and Analysts
  • Automation and RPA Professionals
  • Cloud and DevOps Engineers
  • IT and Technology Consultants
  • Product Managers in AI and Digital Solutions
  • Business Analysts and Digital Transformation Leaders
  • Startup Founders and Tech Entrepreneurs

Course Content

  • Evolution of AI: From rule-based systems to autonomous agents
  • What is Agentic AI? Concepts and key characteristics
  • Differences between traditional AI and agentic AI
  • Use cases and industry applications
  • Overview of agent-based architectures

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  • Perception, environment, and state modeling
  • Goals, rewards, and decision-making
  • Action selection and execution
  • Agent memory and knowledge representation
  • Feedback and learning loops

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  • Task decomposition and goal planning
  • Rule-based vs learning-based reasoning
  • Chain-of-thought and planning strategies
  • Handling uncertainty and dynamic environments
  • Evaluating and optimizing agent decisions

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  • Single-agent vs multi-agent systems
  • Overview of modern agent frameworks
  • Orchestration and control layers
  • Tool calling and API integration
  • Agent lifecycle management

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  • Communication between agents
  • Role-based and task-based agents
  • Coordination and conflict resolution
  • Swarm and cooperative intelligence
  • Real-world multi-agent use cases

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  • Short-term vs long-term memory
  • Vector databases and retrieval systems
  • Context handling in AI agents
  • Knowledge grounding and accuracy
  • Preventing hallucinations and drift

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  • Designing agent workflows
  • Automating business processes with agents
  • Integrating external tools and data
  • Testing and debugging AI agents
  • Deployment best practices

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  • Responsible AI and safety considerations
  • Data privacy and compliance
  • Bias, transparency, and explainability
  • Risk management in autonomous systems
  • Governance models for AI agents

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  • Customer service and support agents
  • AI-powered operations and analytics
  • Digital assistants and copilots
  • Industry-specific use cases
  • ROI and performance measurement

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  • Emerging trends and technologies
  • Scaling agentic AI in enterprises
  • Integration with generative AI and robotics
  • Career pathways in agentic AI
  • Capstone project and next steps

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Agentic AI Foundations Training (MCQ) Assessment

This assessment tests understanding of course content through MCQ and short answers, analytical thinking, problem-solving abilities, and effective communication of ideas. Some Multisoft Assessment Features :

  • User-friendly interface for easy navigation
  • Secure login and authentication measures to protect data
  • Automated scoring and grading to save time
  • Time limits and countdown timers to manage duration.
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Agentic AI Foundations Corporate Training

Employee training and development programs are essential to the success of businesses worldwide. With our best-in-class corporate trainings you can enhance employee productivity and increase efficiency of your organization. Created by global subject matter experts, we offer highest quality content that are tailored to match your company’s learning goals and budget.


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Learning Assessment

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Certification Training Achievements: Recognizing Professional Expertise

Multisoft Systems is the “one-top learning platform” for everyone. Get trained with certified industry experts and receive a globally-recognized training certificate. Some Multisoft Training Certificate Features :

  • Globally recognized certificate
  • Course ID & Course Name
  • Certificate with Date of Issuance
  • Name and Digital Signature of the Awardee
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Agentic AI Foundations Training FAQ's

Agentic AI refers to autonomous AI systems that can set goals, make decisions, use tools, and perform tasks independently with minimal human intervention.

This course is ideal for developers, data scientists, AI engineers, IT professionals, and business leaders looking to build or manage intelligent AI-driven systems.

Basic knowledge of AI concepts and programming (preferably Python) is recommended, but deep expertise is not required.

You will learn how to design, build, and deploy autonomous AI agents, including planning, memory, tool usage, and multi-agent workflows.

To contact Multisoft Systems you can mail us on info@multisoftsystems.com or can call for course enquiry on this number +91 9810306956

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