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Agentic AI Course · Intermediate Level

Build AI agents that use tools, work together, and finish the job

Move beyond prompting a chatbot. Over 8 weeks you will build agent crews, stateful workflows, automations and a voice agent with live mentors, then pull it all into one capstone system.

Request Course Details Explore the Curriculum

Built for developers and technically comfortable professionals who already know the basics of Python and LLM APIs.

8 weeksduration
50lessons
5modules
Intermediatelevel
Live + recordedmentor sessions

The Idea

What an agentic system adds to an LLM

A language model answers. An agent decides what to do next, calls tools, remembers where it is and knows when to stop and ask a person. The course teaches each layer as something you build.

Reasoning

The LLM interprets the goal and chooses the next step.

Tools and APIs

Agents act through functions, services and automations, not just text.

State and memory

Workflows track progress so multi-step tasks survive interruptions.

Coordination

Several specialised agents share work, with people approving risky steps.

Chatbot versus agent

QuestionChatbotAgent
Who decides the steps?The user, one prompt at a timeThe system, within limits you set
Can it act on other systems?RarelyYes, through tools and APIs
Where do people step in?Every turnAt approval points you design

What You Will Build

Working systems, one per module

These follow the five modules below. Each is an illustrative description of what the module builds towards; final project briefs are set by your mentors.

A crew of role-based agents

Agents with distinct responsibilities that hand work to each other, built with CrewAI, and a graph-based workflow in LangGraph that tracks state.

An automated business workflow

Triggers, AI steps and app integrations wired together in n8n, Zapier and Make.com.

A voice agent

A real-time assistant that listens and replies over a phone-style pipeline using Deepgram and Twilio.

A capstone agent system

One autonomous system that combines orchestration, tools and your choice of use case.

Curriculum

Five modules, 50 lessons

Each module builds on the one before. Orchestration comes after you have used the individual frameworks, and the capstone comes last.

1

CrewAI and LangGraph

12 lessons

Role-based agent crews and graph-based, stateful agent workflows.

CrewAILangGraph
2

n8n, Zapier and Make.com automation

12 lessons

Connect AI steps to everyday apps and triggers without writing every integration by hand.

n8nZapierMake.com
3

Voice agents with Deepgram and Twilio

12 lessons

Speech-to-text and telephony pipelines for real-time conversational agents.

DeepgramTwilio
4

Multi-agent orchestration

8 lessons

Coordinating several agents, dividing responsibilities and combining Module 1 to 3 skills.

5

Capstone: autonomous agent system

6 lessons

Design and build a complete agent system that demonstrates the programme end to end.

Module titles and lesson counts reflect the published programme. Mentors may refine topic detail between batches.

Tools

Every tool has a job

CrewAI

Define agents by role and goal and let them collaborate on a shared task.

LangGraph

Model workflows as graphs with explicit state and controlled transitions.

n8n, Zapier, Make.com

Automation platforms that connect agent output to the apps people already use.

Deepgram

Converts live speech to text for voice agents.

Twilio

Carries calls and messages between users and your agent.

Is It Right for You?

Who this course is for

A good fit

  • Developers who want to build agentic applications
  • Software professionals adding AI to existing systems
  • Technically capable students ready for an intermediate course
  • Professionals designing AI-driven workflows

Before you join

The programme is Intermediate. Basic Python and some familiarity with LLM APIs are recommended. If you are earlier in the journey, start with our AI Fundamentals and Core Architecture or the Generative AI, LLMs and Advanced RAG programme first.

Learning with Grow2Grab

What is included in the programme

Live and recorded sessions

Attend live with Q&A, or replay recordings.

24-hour doubt resolution

A community channel plus weekly mentor office hours.

Hands-on projects

Projects you can keep in a GitHub portfolio.

Certificate and LinkedIn badge

A shareable certificate on completion.

Updated syllabus

Reviewed every quarter as tools change.

Career support

Resume reviews and mock interviews. Outcomes depend on your effort and the market.

Course Details

Enrolment, in plain steps

Programme summary

8 weeks · 50 lessons · Intermediate · live mentor sessions with recordings · hands-on projects · certificate. Fees and batch dates are shared on request.

How to enrol

  1. 1.Send the enquiry form below
  2. 2.Speak with a counsellor about fit and fees
  3. 3.Confirm your batch and start

Applying the Skills

Where agentic skills get used

Research assistants, knowledge retrieval, customer-support triage, voice-based service and business-process automation are common applications. The course builds skills; it does not promise a job or a salary.

Questions

Before you enquire

▼ How is an AI agent different from a chatbot?

A chatbot replies to each message. An agent pursues a goal across several steps, calls tools, keeps track of state and can pause for human approval.

▼ How is Agentic AI different from Generative AI?

Generative AI produces content. Agentic AI uses that ability to plan and take actions through tools and workflows.

▼ What do I need to know first?

Basic Python and some experience with LLM APIs are recommended. The programme is rated Intermediate.

▼ Which tools are taught?

CrewAI, LangGraph, n8n, Zapier, Make.com, Deepgram and Twilio.

▼ How long is it and how is it delivered?

Eight weeks with 50 lessons, using live mentor sessions plus recordings.

▼ Is it practical?

Yes. Each module is project-based and the programme ends with a capstone agent system.

▼ What does it cost?

Fees are shared by the counsellor when you enquire, so you get current information.

▼ Will I get a certificate?

A certificate and a LinkedIn badge are listed with the programme. Ask the counsellor about completion requirements.

Next Step

Ask for the full course details

Tell us a little about your background and we will reply with fees, batch dates and whether this level fits you.

Prefer to talk? Call or WhatsApp +91 76579 61346 or email grow2grab@gmail.com.

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