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  • Artificial Intelligence has come far from its early stages and companies are looking beyond chatbots and automation. Today, companies are in need of AI systems that not only understand objectives, make decisions, employ various methods, interact with software and perform tasks but do all of this without much interference from humans. This advanced version of Artificial Intelligence is known as Agentic AI.
  • The Agentic AI Training Institute in Bangalore is a specialized institute based out of Bangalore offering learners the ability to get hands-on experience in building intelligent AI systems and autonomous agents. This course is meant for students, software developers, data specialists, automation engineers, fresh graduates and working professionals who would like to start a career in the world of Artificial Intelligence.
  • The Agentic AI Course in Bangalore concentrates entirely on practical application. Learners design AI agents, work on LLMs (Large Language Models), use APIs, develop RAG applications, use vector databases and create intelligent AI solutions that address business needs through the latest in AI technology.

Agentic AI Course in Bangalore

About-Us-Course

  • On completion of the Agentic AI Course in Bangalore, you will be able to:
    • Gain knowledge of the basics of Agentic AI.

      Learn AI agent architecture.

      Develop intelligent AI agents.

      Build AI agents that work autonomously.

      Work with Large Language Models (LLMs).

      Learn prompt engineering.

      Build Retrieval-Augmented Generation (RAG) applications.

      Design multi-agent systems.

      Connect APIs with AI applications.

      Integrate AI with business workflows.

      Work with vector databases.

      Deploy AI applications on cloud platforms.

  • The primary goal of Agentic AI Training in Bangalore is to teach learners about the functioning of intelligent AI agents and their impact on modern businesses. It is a practical course that will enable learners to gain industry-oriented skills. Agentic AI Training in Bangalore differs from conventional AI training programs in terms of teaching learners about the reasoning, decision-making ability, memory retention of past interactions, ability to access and utilize external tools, API communications, and automation of entire business processes by AI agents.

  • List of learning Objectives:
    • Learn Agentic AI frameworks.

      Understand AI reasoning.

      Build autonomous AI systems.

      Learn workflow automation.

      AI memory management.

      Build multi-agent workflows.

      Work with vector databases.

      Integrate APIs with AI applications.

      Deploy AI applications on cloud platforms.

      Gain hands-on experience through live projects.

  • The Agentic AI program in Bangalore has been developed based on the requirements of the modern-day industry. Each module has been crafted in such a way that theory and practical assignments go hand-in-hand.

  • List of Course Features:
    • Live instructor-led training.

      Hands-on practical sessions.

      Industry-focused curriculum.

      Real-world AI projects.

      Interactive lab sessions.

      AI agent development practice.

      Live assignments.

      Latest AI tools and frameworks.

      Interview preparation.

      Resume building support.

      Certification guidance.

      Weekday and weekend batches.

      Lifetime access to learning resources.

      Placement assistance.

  • The Agentic AI Course in Bangalore is suitable for both technical and non-technical learners who want to build a career in Artificial Intelligence.
  • This course is ideal for:
    • 12th Pass Candidates.

      College Students.

      Graduates.

      B.Tech Students.

      BCA Students.

      MCA Students.

      B.Sc. (Computer Science/IT).

      M.Tech Students.

      M.Sc. (Computer Science/IT).

      Software Developers.

      Python Developers.

      AI & ML Professionals.

      Data Analysts.

      Data Scientists.

      Cloud Engineers.

      DevOps Engineers.

      Automation Engineers.

      IT Professionals.

      Working Professionals.

      Career Changers.

  • No previous experience in Agentic AI is required. Beginners start from the basics, while experienced professionals can strengthen their practical implementation skills.

  • The Agentic AI Training in Bangalore is suitable for:
    • Students.

      Graduates.

      Software Developers.

      Python Developers.

      AI Engineers.

      Machine Learning Engineers.

      Data Scientists.

      Data Engineers.

      Cloud Engineers.

      Automation Engineers.

      DevOps Engineers.

      Business Analysts.

      Technical Consultants.

      Working Professionals.

      Career Changers.

  • The complete course is taught in simple language, making it easy for beginners while still covering advanced concepts required by the industry.

  • Agentic AI has been a part of the rapidly evolving branches of Artificial Intelligence. Companies belonging to various sectors have started using smart AI agents that can automate processes within an organization and enhance its efficiency. With the increased use of such AI solutions, the requirement for skilled professionals who can design and implement these technologies has increased significantly.

  • Incorporation of automation is becoming wider as companies incorporate AI that can think, plan, and work with very minimal human intervention. Contrary to other AI systems that are just meant to provide answers to questions asked, Agentic AI understands intentions, learns from previous interactions, operates several instruments and makes decisions at the same time.
    • Intelligent Decision Making: With the help of AI agents, businesses can analyze data, comprehend objectives and make decisions based on data in real-time.

      Workflow Automation: Agentic AI enables automation of mundane business tasks which usually take up substantial human efforts.

      Customer Experience Improvement: AI agents are capable of offering quicker response times, personalized interactions, and continuous support thus improving customer experience.

      Information Processing Efficiency: Agentic AI is able to process and analyze huge volumes of information in seconds thus allowing firms to make more effective decisions.

      Execution of Multiple Tasks: Whereas conventional automation executes one task at a time, Agentic AI is capable of executing multiple tasks concurrently while remaining adaptable to varying business needs.

  • The need for Agentic AI specialists is rising quickly due to investments being made by organizations in intelligent automation as well as Artificial Intelligence. Upon successfully completing the Agentic AI Training course in Bangalore, there are numerous career options that a person can explore, ranging from IT organizations to banks and healthcare providers.

  • List of Job Roles Interest:
    • Agentic AI Developer.

      AI Engineer.

      Generative AI Engineer.

      AI Application Developer.

      LLM Engineer.

      AI Automation Engineer.

      Prompt Engineer.

      Machine Learning Engineer.

      AI Solutions Developer.

      AI Integration Engineer.

      AI Consultant.

      Python AI Developer.

  • Agentic AI Training in Bangalore consists of practical classes involving learning about the latest AI architectures and development tools used by tech giants.
    • Python: Develop AI applications, automate processes and develop intelligent agents through Python programming.

      OpenAI API: Use Large Language Models in AI applications for developing intelligent conversational agents.

      LangChain: Develop AI processes by combining language models with APIs, databases, and other external tools.

      LangGraph: Develop advanced multi-agent systems where multiple agents collaborate to solve business problems.

      CrewAI: Understand how multiple AI agents communicate and collaborate to perform various business tasks.

      AutoGen: Develop autonomous AI agents that can plan, reason and execute business workflows independently.

      Pinecone: Perform semantic search, document retrieval and Retrieval-Augmented Generation (RAG) through vector databases.

      ChromaDB: Create AI knowledge bases and conduct intelligent document searches through embeddings.

      FastAPI: Create fast APIs that will help you incorporate AI models into your applications.

      Docker: Package AI-based applications in containers for easier deployment in different settings.

      GitHub: Manage AI-based project development with the help of version control.

      Visual Studio Code (VS Code): Create, test, and manage Agentic AI apps in one of the most popular programming environments.

  • The Agentic AI Course in Bangalore focuses on practical learning through industry-oriented projects that help learners apply AI concepts to real business scenarios.
  • Project Ideas:
    • AI Customer Support Agent.

      AI Resume Screening System.

      AI Research Assistant.

      AI Email Automation Agent.

      AI Travel Planner.

      AI Document Analysis Tool.

      AI Knowledge Chatbot.

      AI Workflow Automation System.

      Multi-Agent Task Management Platform.

      AI Personal Assistant.

  • The Agentic AI Training in Bangalore follows a hands-on learning methodology where every concept is reinforced through coding exercises, practical assignments, and project implementation.
  • Practical Learning Includes:
    • Daily coding practice.

      AI application development.

      Live demonstrations.

      Real business case studies.

      Mini projects.

      Industry capstone project.

      Lab sessions.

      Project reviews.

      Doubt-clearing sessions.

      Interview preparation.

  • After successfully completing the Agentic AI Course in Bangalore, learners receive a course completion certificate that validates their practical knowledge and technical skills in Agentic AI development, automation, and AI application building.
  • The course also includes:
    • Certification guidance.

      Practice assessments.

      Mock interviews.

      Resume writing support.

      LinkedIn profile optimization.

      Career mentoring.

  • The salary after completing the Agentic AI Course in Bangalore depends on your technical knowledge, project experience, problem-solving ability, and interview performance.
    • Freshers: 6 LPA to 12 LPA

      1 to 3 Years Experience: 12 LPA to 20 LPA

      Experienced Professionals: 20 LPA to 40 LPA+

  • List of Factors That Influence Salary:
    • Practical AI development skills.

      Project portfolio.

      Python programming knowledge.

      Large Language Model (LLM) expertise.

      Prompt engineering skills.

      Agentic AI development experience.

      Cloud computing knowledge.

      Communication skills.

      Professional certifications.

  • Choosing the right training institute plays an important role in building a successful career in Artificial Intelligence. Croma Campus offers Agentic AI Training in Bangalore with an industry-focused curriculum designed according to current market requirements.

  • List of Course Features:
    • Experienced industry trainers.

      Updated course curriculum.

      Practical assignments.

      Live AI projects.

      Industry-oriented learning.

      Flexible batch timings.

      Weekday and weekend classes.

      Online and classroom training.

      Certification support.

      Resume preparation.

      Mock interview sessions.

      Placement assistance.

      Lifetime access to learning resources.

      Modern lab facilities.

      Personalized mentoring.

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CURRICULUM & PROJECTS

Agentic AI Training Program

    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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    Langfuse Overview

    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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Prepare & Practice for real-life job interviews by joining the Mock Interviews drive at Croma Campus and learn to perform with confidence with our expert team.Not sure of Interview environments? Don’t worry, our team will familiarize you and help you in giving your best shot even under heavy pressures.Our Mock Interviews are conducted by trailblazing industry-experts having years of experience and they will surely help you to improve your chances of getting hired in real.
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FAQ's

Yes. This Agentic AI Course in Bangalore begins with the basics and progresses towards advanced Agentic AI principles, thus making it ideal for beginners.

No. Previous knowledge of programming is an advantage but not a requirement.

Yes. There are several projects in this course.

Yes, you will get a certificate on completing the course along with certification preparation help and guidance.

Yes, flexible courses are there for working professionals.

Yes, you will be working on industry-level advanced tools like LangChain, LangGraph, CrewAI, AutoGen, Pinecone, ChromaDB, OpenAI APIs, FastAPI, Docker, GitHub, VS Code and much more.

Yes, placement help is provided by Croma Campus.

Projects like AI Customer Support Agent, AI Resume Screening System, AI Research Assistant, AI Workflow Automation System, AI Knowledge Chatbot, AI Email Automation Agent, and Multi-Agent Task Management Platform.

Students, Graduates, Software Developers, Python Developers, AI Professionals, Data Engineers, Cloud Engineers, DevOps Engineers, Automation Engineers, and Working Professionals.

Agentic AI Developer, AI Engineer, LLM Engineer, Prompt Engineer, AI Automation Engineer, AI Solutions Developer, AI Consultant, Generative AI Engineer, and AI Integration Engineer are some positions that you can apply for after completing your course.

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  • - Attend Mock-Up Interviews with Experts
  • - Get Interviews & Get Hired

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