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AI Agent Training Online

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Explore the AI Agent Course by Multisoft Virtual Academy and unlock the power of intelligent automation. Gain hands-on skills to design, develop, and deploy AI agents that boost productivity and streamline business operations. Stay ahead in the evolving world of artificial intelligence with expert-led training and real-world projects.

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Instructor-led Training Live Online Classes

Suitable batches for you

31 May 2025 24 06:00 PM - 09:00 PM Sat, Sun
01 Jun 2025 24 06:00 PM - 09:00 PM Sat, Sun
07 Jun 2025 24 06:00 PM - 09:00 PM Sat, Sun
08 Jun 2025 24 06:00 PM - 09:00 PM Sat, Sun

Course Price At

$ 550

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Instructor-led Training Live Online Classes

31 May 2025 24 06:00 PM - 09:00 PM Sat, Sun
01 Jun 2025 24 06:00 PM - 09:00 PM Sat, Sun
07 Jun 2025 24 06:00 PM - 09:00 PM Sat, Sun
08 Jun 2025 24 06:00 PM - 09:00 PM Sat, Sun

Course Price At

$ 550

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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.

Course Price At

$ 550

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Instructor-Led Online Training Parameters

Course Highlights

  • Duration: 24 Hrs.
  • Subject Matter Expert
  • After Training Support
  • Lifetime E-Learning Access
  • Recorded Sessions
  • Free Online Assessments
One to One training One to One Training
AI Agent Training Online Course Syllabus

Curriculum Designed by Experts

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The AI Agent Course by Multisoft Virtual Academy is designed to equip learners with the practical skills and theoretical knowledge needed to harness the power of artificial intelligence for real-world applications. This comprehensive training program focuses on the development, deployment, and optimization of intelligent agents that can independently analyze data, make decisions, and automate complex tasks. Participants will gain in-depth understanding of AI fundamentals, including natural language processing (NLP), machine learning, deep learning, and reinforcement learning. The course explores how AI agents can be integrated into various business processes, from customer service chatbots and virtual assistants to intelligent automation tools in finance, healthcare, logistics, and more. Through hands-on projects, learners will work on building AI-driven applications using modern frameworks and tools, enabling them to solve real-time problems and drive innovation in their respective domains. The curriculum also covers ethical considerations, scalability challenges, and the role of AI agents in digital transformation.

Ideal for developers, data scientists, IT professionals, and tech enthusiasts, this course empowers participants to lead AI initiatives within their organizations. With expert guidance, industry-relevant content, and a flexible learning schedule, the AI Agent Course offers a robust foundation to thrive in the age of intelligent automation.

The AI Agent course is a specialized training program that teaches participants how to design, develop, and deploy intelligent agents that automate tasks, make decisions, and interact with digital environments. It covers AI fundamentals, machine learning, natural language processing, and workflow integration, enabling professionals to build smart, self-learning systems that enhance business efficiency and drive innovation across industries.

  • 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 Training Online Description

  • 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.

  • AI Developers
  • Data Scientists
  • Machine Learning Engineers
  • Software Engineers
  • Automation Engineers
  • IT Professionals
  • Business Analysts
  • Digital Transformation Leaders
  • RPA Developers
  • Technical Project Managers

  • Basic understanding of Artificial Intelligence and Machine Learning
  • Familiarity with programming languages
  • Knowledge of data structures and algorithms

AI Agent Training Online 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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AI Agent Online Corporate Training Certification

Interactive Virtual Training

Interactive Virtual Training

  • Global Subject Matter Experts
  • Step-by –Step Learning Approach
  • Instant Doubt Clearing
Lifetime Access

Lifetime Access

  • Lifetime E-learning Access
  • Recorded Training Session Videos
  • Free Access to Practice Tests
24x7 Assistance

24x7 Assistance

  • Help Desk Support
  • Doubt Resolution in Real-time
  • After Training Support
Hands on Experience

Hands on Experience

  • Project Based Learning
  • Learning based on real-life examples
  • Assignments and Practice Tests
Globally Recognized Training Certificate

Globally Recognized Certificate

  • Multisoft Training Certificate
  • Globally Recognized and Accepted
  • Lifetime Validity

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AI Agent Training Online FAQ's

All sessions are delivered by certified industry experts with vast experience in AI and automation.

Yes, lifetime access to course content and recorded sessions is provided to all enrolled participants.

Absolutely. It is designed to accommodate working professionals with flexible scheduling and practical assignments.

The course covers AI fundamentals, intelligent agent architecture, NLP, machine learning, deep learning, reinforcement learning, agent deployment, integration strategies, real-world use cases, and ethical AI practices.

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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