EXPERIMENT EXP-01
Research Agent
An agent that searches, reads and summarises information into a report.
// COURSE · ADVANCED
Agentic AI Course in Jaipur
Go beyond chatbots. Build AI agents that plan, use tools, take actions and complete real multi-step tasks.
About the Agentic AI Course in Jaipur
Agentic AI is the next step after chatbots. Instead of only answering questions, AI agents can plan a series of steps, use tools and APIs, remember context and complete tasks on their own. Companies are starting to use agents to automate research, support, operations and software work.
Our Agentic AI course in Jaipur teaches you to design and build these systems properly. You learn how agents reason and plan, how tool or function calling works, how to give agents memory and knowledge through RAG, and how to coordinate multiple agents. Just as important, you learn to make agents reliable with guardrails, evaluation and human oversight.
This is an advanced, project-focused program taught by professionals who build AI systems. It suits developers and learners who already understand LLM basics.
Who Should Join
- Software developers who want to build AI agents
- Learners who have completed Generative AI basics
- Professionals who want to automate workflows with AI
- Students who want to specialise in cutting-edge AI
What You Will Learn
- Explain how AI agents plan and act
- Implement tool / function calling
- Give agents memory and knowledge (RAG)
- Build multi-step and multi-agent workflows
- Add guardrails, evaluation and human-in-the-loop
- Ship an agent that completes a real task
// Syllabus
Agentic AI Course Syllabus
A practical, module-by-module curriculum. Every module includes hands-on lab work.
Module 1: From LLMs to Agents
- What makes an AI agent
- Agent loop: observe, plan, act
- When to use agents vs simple workflows
Module 2: Tools & Function Calling
- Defining tools for agents
- Calling APIs and running code
- Handling tool errors
Module 3: Memory & Knowledge
- Short-term and long-term memory
- RAG for agents
- State management
Module 4: Planning & Multi-Step Tasks
- Task decomposition
- Reflection and self-correction
- Workflow orchestration
Module 5: Multi-Agent Systems
- Agent roles and collaboration
- Orchestrator and worker patterns
- Coordination and hand-offs
Module 6: Reliable Agents in Production
- Guardrails and safety
- Evaluating agents
- Human-in-the-loop
- Cost, latency and monitoring basics
// Lab Experiments
Projects You Will Build
Real, portfolio-ready AI projects, built in class with guidance from professional trainers.
EXPERIMENT EXP-02
Task Automation Agent
Automates a multi-step business workflow using APIs.
EXPERIMENT EXP-03
Multi-Agent Team
Several specialised agents collaborate on one goal.
Prerequisites
- Python programming
- Basics of LLMs and prompting (or complete the Generative AI course first)
Career Roles You Can Target
// FAQs
Agentic AI Course in Jaipur: FAQs
What is Agentic AI?
Agentic AI refers to AI systems, called agents, that can plan steps, use tools and APIs, and complete tasks with some autonomy, rather than just responding to a single prompt.
Agentic AI kya hai?
Agentic AI me AI agents khud steps plan karte hain, tools aur APIs use karte hain aur multi-step kaam poora karte hain. Ye simple chatbot se aage ki technology hai.
Is this Agentic AI course for beginners?
It is an advanced course. You should know Python and LLM basics. Beginners can start with Python for AI and Generative AI first.
Will I build a working AI agent?
Yes. You will build several agents, including a research agent and a multi-agent system.
What is the difference between Generative AI and Agentic AI?
Generative AI creates content in response to prompts. Agentic AI uses generative models as a brain that plans and takes actions through tools to complete goals.
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