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
AI Agent Online Training Course Overview
Join the AI Agent Training Course by Multisoft Systems and gain expertise in building intelligent, autonomous systems. This hands-on course covers key concepts in automation, workflow optimization, and AI integration. Learn from certified professionals and prepare to transform business operations using cutting-edge AI technology.
The AI Agent Training Course by Multisoft Systems is designed to equip professionals with the knowledge and skills needed to build and deploy intelligent agents that drive automation, enhance productivity, and support real-time decision-making. In today’s fast-evolving digital landscape, AI agents are transforming industries by automating routine tasks, improving customer interactions, and optimizing workflows with minimal human intervention. This course introduces participants to the core concepts of AI agents, including autonomous decision-making, natural language processing, machine learning integration, and environment sensing. Learners will gain hands-on experience in designing AI agents for various use cases such as customer support, task automation, data processing, and more. Through real-world projects and interactive labs, participants will understand how to integrate AI agents into existing digital ecosystems and maximize their impact.
Whether you're a developer, IT professional, business analyst, or digital transformation leader, this training will provide valuable insights into leveraging AI for business growth and operational efficiency. Delivered by certified trainers, the course ensures a comprehensive learning experience with access to live sessions, assignments, and industry best practices. Upon completion, participants will be well-prepared to lead AI-driven initiatives and contribute to the next generation of smart enterprise solutions.
Instructor-led Training Live Online Classes
Suitable batches for you
| May, 2026 | Weekdays | Mon-Fri | Enquire Now |
| Weekend | Sat-Sun | Enquire Now | |
| Jun, 2026 | Weekdays | Mon-Fri | Enquire Now |
| Weekend | Sat-Sun | Enquire Now |
AI Agent Online Training Course curriculum
Curriculum Designed by Experts
Join the AI Agent Training Course by Multisoft Systems and gain expertise in building intelligent, autonomous systems. This hands-on course covers key concepts in automation, workflow optimization, and AI integration. Learn from certified professionals and prepare to transform business operations using cutting-edge AI technology.
The AI Agent Training Course by Multisoft Systems is designed to equip professionals with the knowledge and skills needed to build and deploy intelligent agents that drive automation, enhance productivity, and support real-time decision-making. In today’s fast-evolving digital landscape, AI agents are transforming industries by automating routine tasks, improving customer interactions, and optimizing workflows with minimal human intervention. This course introduces participants to the core concepts of AI agents, including autonomous decision-making, natural language processing, machine learning integration, and environment sensing. Learners will gain hands-on experience in designing AI agents for various use cases such as customer support, task automation, data processing, and more. Through real-world projects and interactive labs, participants will understand how to integrate AI agents into existing digital ecosystems and maximize their impact.
Whether you're a developer, IT professional, business analyst, or digital transformation leader, this training will provide valuable insights into leveraging AI for business growth and operational efficiency. Delivered by certified trainers, the course ensures a comprehensive learning experience with access to live sessions, assignments, and industry best practices. Upon completion, participants will be well-prepared to lead AI-driven initiatives and contribute to the next generation of smart enterprise solutions.
- Understand the fundamentals of AI agents and their applications.
- Design and develop intelligent agents using modern AI frameworks.
- Implement task automation using AI agent-based solutions.
- Integrate AI agents with existing digital systems and workflows.
- Apply machine learning and NLP techniques within AI agents.
- Build agents capable of autonomous decision-making and learning.
- Analyze and optimize agent performance in real-world scenarios.
- Deploy AI agents in industries such as customer service, logistics, and IT operations.
- Explore ethical and security considerations in AI agent deployment.
Course Prerequisite
- Basic understanding of Artificial Intelligence and Machine Learning
- Familiarity with programming languages
- Knowledge of data structures and algorithms
Course Target Audience
- AI Developers
- Data Scientists
- Machine Learning Engineers
- Software Engineers
- Automation Engineers
- IT Professionals
- Business Analysts
- Digital Transformation Leaders
- RPA Developers
- Technical Project Managers
Course Content
- Agentic AI Introduction
- AI Agents vs. Agentic AI
- Comparison: Agentic AI, Generative AI, and Traditional AI
- Agentic AI Building Blocks
- Autonomous Agents
- Human in the Loops Systems
- Single and Multi-Agent AI Systems
- Agentic AI Frameworks Overview
- Ethical and Responsible AI
- Agentic AI Best Practices
- AI Implementation Success Stories: Case Studies
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- Agentic AI Architecture
- Agentic Architecture Types
- Key Components of the Agentic AI Framework
- Perception Module
- Cognitive Module
- Action Module
- Learning Module
- Collaboration Module
- Security Module
- Agentic AI Design Patterns
- Reflection Pattern
- Tool Use Pattern
- Planning Pattern
- ReAct (Reasoning and Acting) and ReWOO (Reasoning with Open Ontology)
- Multi Agent Pattern
- Design Considerations
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- Components and Modules
- Data Ingestion and Document Loaders
- Text Splitting
- Embeddings
- Integration with Vector Databases
- Introduction to Langchain Expression Language (LCEL)
- Runnables
- Chains
- Building and Deploying with LCEL
- Deployment with Langserve
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- Introduction to LangGraph
- State and Memory
- State Schema
- State Reducer
- Multiple Schemas
- Trim and Filter Messages
- Memory and External Memory
- UX and Human-in-the-Loop (HITL)
- Building Agent with LangGraph
- Long Term Memory
- Short vs. Long Term Memory
- Memory Schema
- Deployment
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- What is Agentic RAG?
- Agentic RAG vs. Traditional RAG
- Agentic RAG Architecture and Components
- Understanding Adaptive RAG
- Variants of Agentic RAG
- Applications of Agentic RAG
- Agentic RAG with Llamaindex
- Agentic RAG with Cohere
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- Agents
- Models
- Tools
- Knowledge
- Chunking
- Vector DB
- Storage
- Embeddings
- Workflows
- Developing Agents with Phidata
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- Multi Agent Systems
- Multi Agent Workflows
- Collaborative Multi Agents
- Multi Agent Designs
- Multi Agent Workflow with LangGraph
- CrewAI Introduction
- CrewAI Components
- Setting up CrewAI environment
- Building Agents with CrewAI
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- Autogen Introduction
- Salient Features
- Roles and Conversations
- Chat Terminations
- Human-in-the-Loop
- Code Executor
- Tool Use
- Conversation Patterns
- Developing Autogen-powered Agents
- Deployment and Monitoring
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- AI Agent Observability and AgentOPs
- Langfuse Dashboard
- Tracing
- Evaluation
- Managing Prompts
- Experimentation
- AI Observability with Langsmith
- Setting up Langsmith
- Managing Workflows with Langsmith
- AgentOps Practical Implementation
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- Introduction to No-Code/Low-Code AI
- Benefits and Challenges of No-Code AI Development
- Key Components of No-Code AI Platforms
- Building AI Workflows Without Coding
- Designing AI Agents with Drag-and-Drop Interfaces
- Integrating No-Code AI with Existing Systems
- Customizing and Fine-Tuning AI Solutions
- Optimizing Performance and Efficiency in No-Code AI
- Security and Compliance Considerations in No-Code AI
- Best Practices for Deploying No-Code AI Solutions
- Real-World Use Cases and Applications of No-Code AI
- Scaling and Future Trends in No-Code AI
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- Deploying Generative AI Models with Amazon Bedrock
- Implementing Retrieval-Augmented Generation (RAG)
- Building and Managing AI Agents
- Serverless AI Agent Deployment
- Observability and Monitoring AI Agents
- Developing Generative AI Applications with Azure OpenAI Service
- Implementing Agentic AI Workflows with Azure Machine Learning (AML)
- Fine-Tuning Large Language Models (LLMs) on Azure
- Building AI Agents on Azure
- AI Model Deployment and Governance on Azure
- Working with Vertex AI Agent Builder
- Building No Code Conversational AI Agents
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AI Agent Online 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.
AI Agent Online 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.
Global Clients
Customized Training
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Expert
Mentors
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360º Learning Solution
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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
AI Agent Online Training Trainer Profile
19+ Years Experienced
Our AI Agent Online Training Corporate & Certification Program trainers bring 13+ years of proven industry expertise, delivering practical insights aligned with real project environments.
Trained 3950+ Professionals
Our expert trainers have successfully trained 3350+ professionals through structured, real-time training programs designed for industry readiness and career growth.
Certified Experts & Real-Time Project Learning
Build strong practical skills through live project-based training sessions led by certified industry experts with real-world experience.
Hands-on Learning Approach
Gain practical exposure through real-time scenarios, industry case studies, and hands-on assignments that simulate actual project challenges.
Certification Training Guidance
Receive expert support to prepare effectively, practice strategically, and confidently achieve globally recognized certification success.
Customized Training Delivery
Flexible training approach tailored to individual learning goals, skill levels, and evolving industry requirements for maximum effectiveness.
AI Agent Online Training FAQ's
Yes, this course is delivered through instructor-led live online sessions for flexible and convenient learning.
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