Trusted by enterprises across the globe


Designed for all your training needs

Flexible On-Demand Group Learning
Flexible, corporate learning for groups, accessible anytime, anywhere.

Instructor-Led Live, Online Training
Real-time, interactive classes taught by SME via web conferencing.

Independent Self-Paced Learning
Individual learning at your own speed, with access to digital materials.

Customized On-Site Training
Customized, face-to-face training sessions delivered at your location.
Curriculum Designed by Experts

At Multisoft Virtual Academy, our AI Agent Corporate Training is designed to equip your team with the skills needed to work with cutting-edge AI agents and automation systems. Delivered by industry experts, the program focuses on intelligent agent frameworks, real-time applications, and process automation using AI. This hands-on training includes real projects, live sessions, and personalized mentoring, helping professionals apply AI tools for smarter business operations, improved efficiency, and data-driven decisions.
Whether your team is in development, operations, or analytics, this course builds strong foundational knowledge and practical expertise. Prepare your workforce for the AI-powered future with Multisoft’s tailored corporate learning approach.
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

- 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

- 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

- 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

- 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

- Agents
- Models
- Tools
- Knowledge
- Chunking
- Vector DB
- Storage
- Embeddings
- Workflows
- Developing Agents with Phidata

- 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

- 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

- 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

- 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

- 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

Free Career Counselling
We are happy to help you 24/7Multisoft Corporate Training Features
Outcome centric learning solutions to meet changing skill-demand of your organizationWide variety of trainings to suit business skill demands
360° learning solution with lifetime access to e-learning materials
Choose topics, schedule and even a subject matter expert
Skilled professionals with relevant industry experience
Customized trainings to understand specific project requirements
Check performance progress and identify areas for development
Free AI Agent Corporate Training Online Assessment
Right from the beginning of learning journey to the end and beyond, we offer continuous assessment feature to evaluate progress and performance of the workforce.
Try it Now
AI Agent Corporate Training Online Certification
Related Courses
A Role Based Approach To Digital Skilling
A roadmap for readying key roles in your organization for business in the digital age.

