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Agentic AI Training

Become an AI Agent Developer with Agentic AI Training at Learnomate Technologies. Learn Python, LLMs, LangGraph, CrewAI, MCP, RAG, and AI Agent development through live training, real-world projects, and expert mentorship. Build, deploy, and scale autonomous AI agents with hands-on experience and placement support.
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Agentic AI Course Overview

Learnomate Technologies offers comprehensive Agentic AI Training designed to help students and professionals develop in-demand AI automation and autonomous agent development skills. The course covers Python, Large Language Models (LLMs), Prompt Engineering, LangChain, LangGraph, MCP, RAG, Vector Databases, FastAPI, AI Agents, and real-world Agentic AI projects. Our practical learning approach provides hands-on experience with industry-standard tools, Agentic AI frameworks, and production-ready autonomous AI workflows.

Click Here to Explore the Agentic AI Training Roadmap

Agentic AI Training

WHY LEARN AGENTIC AI TRAINING IN 2026?

Agentic AI Training is one of the fastest-growing AI career programs in 2026 as businesses increasingly adopt autonomous AI systems for automation, intelligent decision-making, and workflow optimization. Learning Agentic AI Training helps professionals master Python, Large Language Models (LLMs), Prompt Engineering, LangChain, LangGraph, MCP, RAG, Vector Databases, and AI Agent development. Enrolling in this course prepares you for high-demand careers in AI automation, autonomous systems, and enterprise AI solutions across multiple industries.

WHAT MAKES THIS AGENTIC AI TRAINING DIFFERENT?

Our Agentic AI Training follows a practical, industry-focused approach with live instructor-led classes, hands-on labs, real-world projects, internship opportunities, interview preparation, and expert mentorship. Unlike traditional AI courses, this program covers the latest Agentic AI technologies, including LangGraph, LangChain, MCP, RAG, Vector Databases, FastAPI, and AI Agent orchestration. Students gain production-ready skills to build, deploy, and scale autonomous AI agents for real-world business applications.

WHO SHOULD JOIN & COURSE FEES?

  • Students and fresh graduates who want to start a career in Agentic AI and AI application development.
  • Working professionals looking to upskill through Agentic AI Training and autonomous AI technologies.
  • Software developers, AI engineers, and data professionals planning to transition into AI Agent development.
  • Machine Learning and Generative AI professionals who want to master LangGraph, MCP, and multi-agent systems.
  • Course fees are affordable with flexible EMI options. Contact Learnomate Technologies for the latest batch schedule, pricing details, and a free demo session before enrollment.

Looking to master AI from the ground up? Check out our Data Science with Generative AI Training before advancing to autonomous AI agents.

Syllabus

  • Master object-oriented Python programming concepts
  • Build reusable Python functions efficiently
  • Implement decorators for cleaner code
  • Utilize generators and iterators effectively
  • Manage resources using context managers
  • Handle Python exceptions professionally
  • Implement structured application logging practices
  • Develop asynchronous applications using AsyncIO
  • Compare multithreading and multiprocessing techniques
  • Create efficient Python dataclasses models
  • Validate data using Pydantic models
  • Apply Python type hinting standards
  • Process JSON data seamlessly
  • Build and consume REST APIs
  • Manage environment variables securely
  • Understand transformer architecture fundamentals thoroughly
  • Learn attention mechanism working principles
  • Process text using tokenization techniques
  • Generate meaningful vector embeddings efficiently
  • Optimize context window management strategies
  • Control model responses using temperature
  • Fine-tune outputs with Top-p sampling
  • Adjust creativity using Top-k sampling
  • Master effective prompt engineering techniques
  • Implement LLM function calling workflows
  • Generate structured JSON model outputs
  • Integrate external tools with LLMs
  • Stream model responses efficiently
  • Reduce LLM hallucinations effectively
  • Optimize token usage for efficiency
  • Design effective system prompts efficiently
  • Create optimized user prompts effectively
  • Apply few-shot prompting techniques successfully
  • Master zero-shot prompting strategies confidently
  • Implement Chain-of-Thought reasoning effectively
  • Build intelligent ReAct prompting workflows.
  • Create reusable prompt templates efficiently
  • Develop dynamic prompts for applications
  • Prevent prompt injection security attacks
  • Optimize prompts for better responses
  • Understand dense embedding representations effectively
  • Measure similarity using cosine distance
  • Calculate similarity with dot product
  • Optimize embedding dimensions for performance.
  • Build multilingual embedding-based applications efficiently
  • Perform semantic similarity search accurately
  • Select appropriate embedding models confidently
  • Normalize embeddings for improved accuracy
  • Compare embedding models for tasks
  • Implement embeddings in AI applications
  • Perform approximate nearest neighbor search
  • Implement HNSW indexing for retrieval
  • Apply metadata filtering for searches
  • Build hybrid search applications efficiently
  • Execute semantic similarity search accurately
  • Organize vector collections effectively
  • Optimize vector database indexing performanc
  • Manage distributed vector data sharding
  • Enable persistent vector data storage
  • Compare popular vector database platforms
  • Build applications using Qdrant
  • Develop scalable solutions with Pinecone
  • Perform vector search using FAISS
  • Deploy vector databases using Milvus
  • Optimize vector retrieval for LLMs
  • Parse documents for efficient retrieval
  • Apply effective document chunking strategies
  • Extract and manage document metadata.
  • Generate embeddings for document indexing
  • Perform semantic vector search efficiently
  • Improve results using re-ranking techniques
  • Compress context for better responses
  • Construct optimized retrieval prompts effectively
  • Generate accurate citation-based responses
  • Reduce hallucinations using retrieved knowledge
  • Build grounded AI response systems
  • Optimize RAG pipeline performance efficiently
  • Understand AI agent architecture fundamentals
  • Design intelligent agent planning workflows
  • Integrate external tools using tool-calling
  • Enable environment observation for agents
  • Build reasoning-driven AI agent systems
  • Implement reflection for continuous improvement
  • Execute autonomous agent actions efficiently
  • Manage agent memory effectively
  • Track agent state across tasks
  • Build autonomous agent execution loops
  • Create production-ready AI agents
  • Develop multi-step autonomous AI workflows
  • Implement LLM function calling workflows.
  • Define tools using JSON schemas
  • Connect AI agents with SQL
  • Execute Python tools from agents
  • Integrate web search tool APIs
  • Build secure API tool integrations
  • Automate email operations using tools
  • Process files through AI tools
  • Implement robust retry logic strategies
  • Handle tool execution errors gracefully
  • Develop reliable AI tool pipelines
  • Build production-ready tool calling systems
  • Implement short-term conversational memory effectively
  • Build persistent long-term memory systems
  • Manage session memory across interactions
  • Store embeddings using vector memory
  • Compress memory for efficient retrieval
  • Generate concise memory summaries automatically
  • Build workflows using StateGraph architecture
  • Design graph nodes for agents
  • Connect workflows using graph edges
  • Implement conditional routing for workflows
  • Create cyclic agent execution flows
  • Enable checkpointing for fault tolerance
  • Integrate human-in-the-loop approvals
  • Handle workflow interruptions gracefully
  • Resume agent execution from checkpoints
  • Manage memory across graph states
  • Build durable execution for agents
  • Develop production-ready LangGraph applications
  • Understand MCP architecture fundamentals thoroughly
  • Build MCP client applications efficiently
  • Configure MCP server implementations securely
  • Access resources through MCP protocol
  • Integrate external tools using MCP
  • Design reusable MCP prompt template
  • Implement secure MCP authentication mechanisms
  • Configure reliable MCP transport layers
  • Enable automatic tool discovery workflows
  • Share context across MCP sessions
  • Build interoperable AI agent systems
  • Connect agents with external services
  • Prevent prompt injection attacks effectively
  • Block jailbreak attempts proactively
  • Validate user input securely
  • Verify AI output accuracy
  • Detect personally identifiable information automatically
  • Identify toxic content reliably
  • Implement role-based access control
  • Enable human approval workflows
  • Secure AI tool calling
  • Build safe AI agent systems
  • Enforce AI security guardrails
  • Protect AI applications from misuse
  • Measure model faithfulness accurately
  • Evaluate response groundedness effectively
  • Assess answer relevancy systematically
  • Monitor hallucination rates continuously
  • Calculate Precision@K retrieval metrics
  • Measure Recall@K search performance
  • Optimize model response latency
  • Analyze AI inference costs
  • Track token usage efficiently
  • Benchmark AI system performance
  • Evaluate retrieval quality consistently
  • Improve model evaluation workflows
  • Build APIs using FastAPI framework
  • Containerize AI applications using Docker
  • Deploy scalable workloads with Kubernetes
  • Deploy AI applications on AWS
  • Deploy AI solutions on Azure
  • Integrate Redis for faster caching
  • Secure APIs using JWT authentication
  • Automate deployments with CI/CD pipelines
  • Monitor application performance continuously
  • Implement centralized application logging practices
  • Scale AI applications efficiently
  • Deploy production-ready AI agent systems
  • Enterprise RAG Chatbot
  • AI Agent Developer Interview Preparation
  • Real-World Agentic AI Capstone Projects
  • Resume & LinkedIn Profile Optimization
  • GitHub Portfolio Development
  • AI Coding Interview Practice
  • Mock Technical Interviews
  • Open Source Contribution Guidance
  • Freelancing & Client Project Readiness
  • AI Product Deployment Best Practices
  • Industry Case Studies & Use Cases
  • Visual Studio Code (VS Code)
  • Git & GitHub
  • Postman
  • Jupyter Notebook
  • Google Colab
  • OpenAI API
  • Anthropic Claude API
  • Google Gemini API
  • Ollama (Local LLMs)
  • LM Studio
  • Hugging Face Hub
  • OpenRouter
  • ChromaDB
  • Weaviate
  • pgvector (PostgreSQL)
  • Neo4j (Knowledge Graphs)
  • Tavily Search API
  • SerpAPI
  • Firecrawl
  • Streamlit
  • Gradio
  • MLflow
  • LangSmith
  • Arize Phoenix
  • Grafana
  • Prometheus
  • GitHub Actions
  • Render
  • Railway
  • Vercel

UPCOMING BATCHES OF AGENTIC AI

Student with laptop

Ankush Thavali

15+ years of Experience in IT Industry

CEO & Founder of Learnomate Technologies

Agentic AI Training
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ONLINE TRAINING

  • Icon Even if you have a career gap, we offer job assistance.
  • Icon Any non-IT person can begin a career as an Oracle DBA.
  • Icon 24*7 dedicated online support team to help you.
  • Icon Lectures Delivered by our experts having 10+ years exp.
  • Icon Online / Offline Sessions.
  • Icon 1 Year access for Recorded videos.
  • Icon Technical support through chat & email
  • Icon 100% practical Oriented CLasses.
View Batch Details

Hurry only 2 seats left!!

Training certificate of Agentic AI Training

Obtaining Your Certification

Your certificate and skills are vital to the extent of jump-starting your career and giving you a chance to compete in a global space.

Upon successful completion of any course at Learnomate Technologies, participants receive a certificate attesting to their proficiency in the respective subject matter. These certificates serve as tangible evidence of the skills acquired during the training, enhancing the credibility of individuals in the job market and validating their expertise to potential employers.

Get your Certification
Ethhive Certificate 1

Our Placements

We don't give just assurances, we actually placed candidates

Anish Behera (Innov Flipkart, Operation Executive) - Learnomate

Anish Behera

Generative AI Engineer

Innov Flipkart

Bablu Sharma (Innov Flipkart, Operation Executive) - Learnomate

Bablu Sharma

Machine Learning Engineer

NVIDIA

Pratyush Katkar (Plussoft Technologies, Business Analyst) - Learnomate

Pratyush Katkar

Agentic AI Engineer

Plussoft Technologies

Faisal Khan (KIMS Hospitals, Data Analyst) - Learnomate

Faisal Khan

Business Intelligence Developer

KIMS Hospitals

Spandan Jena (Simplify Healthcare, Trainee Business Analyst) - Learnomate

Spandan Jena

AI Solutions Engineer

Simplify Healthcare

Pritesh Katkar (MPS Ltd Junior, Data Analyst) - Learnomate

Pritesh Katkar

AI Workflow Automation Engineer

MPS Ltd Junior

Arpita Pradhan (Cadsys MIS Executive, Data Analyst) - Learnomate

Arpita Pradhan

AI Integration Engineer

Cadsys MIS Executive

shalini manchi (Optirise pvt ltd Trainee, Data Scientist) - Learnomate

shalini manchi

AI Product Engineer

Optirise pvt ltd Trainee

Ganesh (Maruthi suzuki - pro interactive, Data Engineer) - Learnomate

Ganesh

AI Application Developer

Deloitte

Sakshi Patil (Redpluto Analytics, Data Analytics Intern) - Learnomate

Sakshi Patil

Intelligent Systems Engineer

Redpluto Analytics

Testimonials

Testimonials
Arya Tandale
1 year student
review

Excellent training has been given by Ankush sir. We learned many things in Learnomate Technologies and very much helpfull to my carrier growth. Thanks a lot.

Testimonials
Anjali Pingle
1 year student
review

The session was really good. Please teach us oracle database installation so that we can practice with you. Also request you to take a live project to understand real life scenarios

Testimonials
Amit Nandi
1 year student
review

Learnomate technology is the best platform to gain and explore knowledge about Oracle DBA. First i saw their video from YouTube and then i enrolled core dba training and after that i also enrolled rac.

Testimonials
Jogu Darani
1 year student
review

I recently completed course at learnomate tecnologies and I am thrilled with the experience. The institute offers a wide range of courses tailored to current industry demands.

Testimonials
Rahul Kamle
1 year student
review

Learnomate Technology is a best training institute, I recommend those who wants to start their career in IT industry for fresher as well as non technical people. Thank you Ankush sir for your support and guidance.

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Frequently Asked Questions

This entire course content and our trainer helps you to get expertise and clear the certification program easily

FAQ Illustration
  • You can join our Agentic AI Training through live instructor-led online sessions. After enrollment, you'll receive access to the learning portal, live class links, study materials, recorded sessions, assignments, and project resources. Our flexible weekday and weekend batches make it convenient for both students and working professionals.
  • Yes. Our Agentic AI Training is designed for beginners as well as experienced professionals. The course starts with Python fundamentals and Generative AI concepts before moving to advanced topics such as AI Agents, LangGraph, MCP, RAG, Vector Databases, and autonomous agent development.
  • Yes. The Agentic AI Training includes multiple hands-on projects where you will build AI agents, implement Retrieval-Augmented Generation (RAG), integrate APIs and tools, work with Vector Databases, and deploy production-ready autonomous AI applications.
  • Yes. The curriculum covers modern AI concepts, Large Language Models (LLMs), Prompt Engineering, LangChain, LangGraph, MCP, and Agentic AI frameworks. This knowledge helps learners prepare for leading AI, Generative AI, and cloud AI certification exams while building practical industry skills.
  • Absolutely. Learnomate Technologies offers flexible weekday and weekend batches for Agentic AI Training. Recorded sessions and instructor support ensure working professionals can learn at their own pace without affecting their work schedule.
  • Learnomate Technologies provides industry-focused Agentic AI Training with live expert instructors, hands-on labs, real-world projects, interview preparation, internship assistance, and placement support. The curriculum covers the latest technologies including LangChain, LangGraph, MCP, RAG, Vector Databases, AI Agents, and LLM deployment to make students job-ready.
  • After completing the Agentic AI Training, you can apply for roles such as Agentic AI Developer, AI Engineer, Generative AI Engineer, LLM Engineer, AI Solutions Engineer, Machine Learning Engineer, Prompt Engineer, AI Automation Engineer, and Conversational AI Developer across startups and enterprise organizations.
  • Yes. Learnomate Technologies provides internship opportunities based on program availability and performance. During the internship, learners work on real-world Agentic AI projects, gain practical experience with industry tools and workflows, strengthen their portfolios, and improve their job readiness.

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