Agentic AI Bootcamp

Build your own AI Agents

PKR 50,000

Build a powerful, personalized AI agent.
Guided step-by-step by experts, you’ll turn ideas into working AI — faster than you thought.

STANDARD

PKR 50,000

For 2 months

Currently enrolled or have graduated with a bachelor’s degree in:

Computer Science or related fields
Any Engineering Discipline (Mechanical, Electrical, Civil etc)

The Problem and the Promise

Most people are still waiting, wondering where to start.
Without the right guidance, the world of AI feels overwhelming, technical, and out of reach.

This program changes that.
In just 6 weeks, you’ll go from “Where do I even begin?” to “Here’s the AI agent I built.“

A practical, no-fluff journey designed to give you real skills, real tools — and a real result.

What’s Inside

Live Instructor Led Session

Focused, actionable lessons designed for busy schedules.

Hands-On AI Projects

Build agents that chat, automate tasks, and make decisions.

Proven Templates

Start fast with customizable agent blueprints.

Real-World Use Cases

Solve business and productivity challenges hands-on.

Launch Day Showcase

Finish with a fully working AI agent — ready to show the world.

Expert Mentorship

Weekly live sessions, feedback, and support whenever you need it.

Agenda & Prerequisites

Module 1: Python for AI Development

Python fundamentals (variables, loops, functions)
Working with APIs in Python
JSON handling and data processing
Writing clean, reusable scripts
Introduction to automation with Python

Module 2: AI & Large Language Models (LLMs)

Introduction to AI and LLMs
How models like GPT work
Prompt engineering fundamentals
System prompts and structured outputs
Using OpenAI APIs in applications

Module 3: Building AI Applications

Designing AI-powered applications

Function calling and tool usage
Building assistants (email writer, summarizer, analyzers)
Handling user inputs and outputs
Structuring AI workflows

Module 4: Retrieval-Augmented Generation (RAG)

Introduction to RAG
Embeddings and vector databases
Document processing (PDFs, text data)
Chunking and retrieval techniques
Building document-based AI chat systems

Module 5: LangChain for AI Workflows

Introduction to LangChain
Chains and tool integration
Prompt templates and memory
Building modular AI pipelines
Integrating external tools and APIs

Module 6: LangGraph for Agentic Systems

Introduction to LangGraph
State-based workflows
Multi-step reasoning and decision flows
Building controllable AI agents
Designing production-ready agent logic

Module 7: Multi-Agent Systems with CrewAI + A2A

Introduction to CrewAI
Defining agent roles
Task delegation between agents
Multi-agent collaboration workflows
Introduction to Agent2Agent (A2A) protocol
Designing interoperable agents that can communicate across systems
Building real-world agent teams with delegation and inter-agent communication

Module 8: MCP & External Integrations

Introduction to Model Context Protocol (MCP)
MCP servers, tools, and resources
Tool integration with AI agents
Context management in AI systems
MCP vs A2A: tool-calling vs agent-to-agent communication
Building connected AI workflows
Real-world system design with APIs, databases, and external services

Module 9: Running Agents Locally with Ollama & vLLM

Introduction to local-first AI agents
Running open-source models locally with Ollama
Using Ollama APIs in agent applications
Serving models on GPU infrastructure with vLLM
OpenAI-compatible serving with vLLM
Comparing Ollama vs vLLM for prototyping vs production
Selecting the right local model for latency, quality, and cost
Multi-user inference, batching, and local deployment patterns

Module 10: OpenClaw & Self-Hosted Agent Experiences

Introduction to OpenClaw
Building self-hosted personal or business AI agents
Connecting agents to WhatsApp, Telegram, Discord, and other channels
Multi-agent routing and session management
Running OpenClaw with local or hosted models
Designing message-based agent experiences
Use cases for internal assistants, sales bots, and coding agents

Module 11: No-Code AI Automation (n8n & Make)

Introduction to automation workflows
n8n fundamentals (nodes, triggers, flows)
Make.com automation pipelines
Connecting AI with external tools
Building business automation use cases

Module 12: Deployment of AI Agents & Applications

Deploying AI agents using FastAPI
Building agent-based APIs
Deploying apps using Streamlit
Hosting on Replit and cloud platforms
Managing API keys, environments, and security
Integrating agents with real-world systems (webhooks, external tools)

Module 13: Freelancing, Portfolio & Career Launch

Building an AI portfolio
Freelancing platforms (Upwork, Fiverr)
Writing proposals for AI projects

Module 14: Capstone Project

Design and develop a complete AI application or agent
Integrate LLMs, RAG, or multi-agent systems
Deploy your solution
Present your project

Agents you can build after this bootcamp

Why This Program Works

We believe real progress comes from building, not just reading or watching.

Hands-On Focus

Every step is designed to get you creating, not just consuming.

Real-World Tools

Learn the same platforms and workflows professionals use — no shortcuts, no fake demos.

Support That Moves You Forward

You’ll never be stuck guessing what to do next.

Success Stories

This Bootcamp was a transformative experience. The hands-on projects and real-world case studies provided deep insight into the potential of agent-based systems. What I found most valuable was the personalized mentorship and structured curriculum that balanced theory with application. It strengthened my problem-solving approach and gave me the confidence to lead AI-driven initiatives in my field.

Completing the one-month AI Agent Development Bootcamp has been an incredibly rewarding experience. One of the highlights for me was learning how to integrate LLMs with real-time data and tools, which gave me a clear understanding of how AI can solve complex problems. I'm now more equipped and motivated to pursue opportunities in this exciting field.

I am an Electrical Engineer with a Master’s degree in Electrical Power Systems. I honed my problem-solving, analytical, and project management skills. I decided to transition into Artificial Intelligence and recently completed the Agentic AI Bootcamp under the mentorship of Dr. Umair. Starting from the fundamentals, I worked with dedication to develop practical expertise in AI agents, large language models, and applied AI solutions.

An exceptional bootcamp that provided a perfect launchpad into AI. It delivered a clear, practical foundation in GenAI, LangGraph, and MCP, effectively bridging the gap between theory and building real-world AI agents. Highly recommended for engineers looking to accelerate their skills in this field.

As an Assistant Professor with no tech background, I never imagined building AI agents. Thanks to the Agentic AI Bootcamp by atomcamp, I built my own ProfBot using tools like LangChain and Streamlit. The hands-on projects, TA support, and freelancing sessions made learning practical and accessible. Highly recommended!

The Bootcamp fast-tracked my journey from prompts to production-ready AI with hands-on work in LangGraph, OpenAI Assistants, and memory-driven architectures. Its focus on reasoning, modular design and applied workflows aligned perfectly with my work in LLM-based agent architecture and scalable MLOps.

I joined the Agentic AI Bootcamp to support my final year chatbot project—and it exceeded expectations. I gained hands-on experience with LangChain and CrewAI, built portfolio-worthy AI agents, and found clarity on my path in AI. The freelancing sessions and supportive instructors made it even more impactful. Highly recommended for anyone exploring AI and automation.

This is a must-have bootcamp for Product & Project Managers—especially those without a tech background. It breaks down Agentic AI through hands-on tools and real-world use cases, no coding required. As a Product Manager in the social sector, I now feel confident exploring AI for social good and government innovation. A perfect bridge between tech and impact.

Pricing Plan

Pick a plan that fits your needs and budget.

Standard Monthly

PKR 30,000

Lumpsum

PKR 50,000

Women & Alumni Discount

PKR 40,000

Pricing and Risk-Free Guarantee

We’re confident you’ll love what you create. But if you’re not completely satisfied within the first 7 days, we’ll refund your investment — no questions asked.

Trainers

Muhammad Umair

Berjees Shaikh

Soman Ali

Pricing and Risk-Free Guarantee

We’re confident you’ll love what you create. But if you’re not completely satisfied within the first 7 days, we’ll refund your investment — no questions asked.

FAQs

Do I need any technical background?

Yes, you must have understanding of programming fundamentals (Python) and basic knowledge of APIs.

What if I fall behind?

Life happens. That’s why you’ll have continued access to all course materials, recorded sessions, and TA support—so you can learn at your own pace.

Do I own what I create?

Yes. The AI agent you build is fully yours to launch, use, or even sell.