- Build, Deploy & Earn with AI Agents
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.
- Online
- 2 Months
- 20th July
- 7:00 PM - 9:00 PM (Monday, Tuesday & Thursday)
STANDARD
PKR
50,000
-
For 2 months
- Eligibility criteria
Currently enrolled or have graduated with a bachelor’s degree in:
- Computer Science or related fields
- Any Engineering Discipline (Mechanical, Electrical, Civil etc)
- You Could Watch the AI Revolution Happen
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 You’ll Achieve in 6 Weeks
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.
- You'll walk away with a complete AI agent, a new skillset, and the confidence to create even more.
Agenda & Prerequisites
- Programming Fundamentals (Python)
- Basic Understanding of APIs
- Python fundamentals (variables, loops, functions)
- Working with APIs in Python
- JSON handling and data processing
- Writing clean, reusable scripts
- Introduction to automation with Python
- Introduction to AI and LLMs
- How models like GPT work
- Prompt engineering fundamentals
- System prompts and structured outputs
- Using OpenAI APIs in applications
Designing AI-powered applications
- Function calling and tool usage
- Building assistants (email writer, summarizer, analyzers)
- Handling user inputs and outputs
- Structuring AI workflows
- Introduction to Retrieval-Augmented Generation
- Embeddings and vector databases
- Document processing for PDFs and text-based data
- Chunking, indexing, and retrieval techniques
- Building document-based AI chat systems
- Introduction to agent harnesses
- Designing agent execution loops
- Managing tool-calling and feedback loops
- Evaluating prompts, retrieval pipelines, and agent outputs
- Building test cases, benchmarks, and evaluation datasets
- Monitoring agent accuracy, reliability, latency, and cost
- Introduction to AI coding agents
- Using Claude Code for software development
- Using OpenAI Codex for coding and automation tasks
- Generating, reviewing, debugging, and refactoring code with AI
- Using skills to accelerate agent and application development
- Creating reusable skills, instructions, and development workflows
- Connecting coding agents with repositories, terminals, and development tools
- Applying AI-assisted development to real-world agent projects
- Best practices for reviewing and validating AI-generated code
- Introduction to LangChain
- Chains and tool integration
- Prompt templates and memory
- Building modular AI pipelines
- Integrating external tools and APIs
- Introduction to LangGraph
- State-based workflows
- Multi-step reasoning and decision flows
- Building controllable AI agents
- Human-in-the-loop workflows
- Error handling, retries, and checkpoints
- Designing production-ready agent logic
- Introduction to CrewAI
- Defining specialized agent roles
- Creating tasks and assigning responsibilities
- Task delegation between agents
- Multi-agent collaboration workflows
- Sequential and hierarchical agent processes
- Building real-world agent teams
- Managing shared context and agent outputs
- Monitoring and evaluating multi-agent performance
- Introduction to Model Context Protocol
- MCP servers, clients, tools, and resources
- Tool integration with AI agents
- Context management in AI systems
- Introduction to the Agent2Agent protocol
- Designing interoperable agents that communicate across systems
- Agent discovery, task delegation, and inter-agent communication
- MCP versus A2A: tool calling versus agent-to-agent communication
- Connecting AI agents with APIs, databases, and external services
- Building connected and interoperable AI workflows
- Real-world integration and system-design patterns
- 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 model serving with vLLM
- Comparing Ollama and vLLM for prototyping and production
- Selecting models based on latency, quality, hardware, and cost
- Multi-user inference and continuous batching
- Local and private deployment patterns
- Introduction to OpenClaw
- Building self-hosted personal and 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
- Integrating OpenClaw with agent harnesses
- Managing agent loops, tools, memory, and execution states
- Adding guardrails, approvals, retries, and failure recovery
- Evaluating message-based agent experiences
- Designing secure and reliable conversational workflows
- Use cases for internal assistants, sales bots, support bots, and coding agents
- Introduction to automation workflows
- n8n fundamentals: nodes, triggers, actions, and flows
- Building AI-powered workflows in n8n
- Make.com automation pipelines
- Connecting AI models with external tools
- Working with webhooks, APIs, databases, and business applications
- Building practical business automation use cases
- Deploying AI agents using FastAPI
- Building agent-based APIs
- Deploying applications with Streamlit
- Hosting applications on Replit and cloud platforms
- Managing API keys and environment variables
- Authentication, security, and access control
- Logging, monitoring, and error handling
- Integrating agents with webhooks and external systems
- Scaling agent t0 applications for real-world usage
- Building a professional AI portfolio
- Presenting AI-agent projects through case studies
- Finding opportunities on Upwork, Fiverr, and other platforms
- Writing effective proposals for AI projects
- Estimating project scope, timelines, and pricing
- Communicating with clients and gathering requirements
- Packaging and selling AI automation services
- Preparing for AI developer and automation roles
- Identify a real-world problem or business use case
- Design and develop a complete AI application or autonomous agent
- Integrate LLMs, RAG, tools, or multi-agent systems
- Apply an agent harness, execution loop, and evaluation framework
- Use Claude Code or Codex during the development process
- Integrate MCP, A2A, APIs, databases, or external services where appropriate
- Deploy the completed solution
- Prepare project documentation and a portfolio case study
- Present and demonstrate the final project
Agents you can build after this bootcamp
- FAQ Chatbot
- AI Travel Planning Agent
- Advanced Travel Planner
- Customer Support Agent
- Financial Report Generator
- Researcher + Writer agent
- Multimodal Creative Director
- AI Legal Assistant
- AI Product Research agent
- A New Approach to Learning AI
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.
- By the end of 6 weeks, you'll not only have built something remarkable — you'll know exactly how you did it.
Success Stories
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.
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.
Before this Bootcamp, I understood AI concepts but not how to build production-ready agentic systems. The bootcamp taught me to design multi-agent workflows with LangGraph, orchestrate them using CrewAI, automate processes with n8n, and integrate OpenAI APIs. Soon after, I built Sentinel, an autonomous oversight agent for Efforia's clinical trial operations, now saving our CEO 2–3 hours every day. More than tools, I learned to design intelligent workflows for real business challenges.
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.
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.
- Community Spotlight: Agentic AI in Action
Built by Our Graduates. Shared on LinkedIn.
They didn’t just finish the bootcamp. they built, shipped, and shared. Here’s what our community is saying, unfiltered.
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
- Your AI future is one decision away.
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
Iqra Jannat
- Your AI future is one decision away.
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
Yes, you must have understanding of programming fundamentals (Python) and basic knowledge of APIs.
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.
Yes. The AI agent you build is fully yours to launch, use, or even sell.
- Register Now & Start Building Agents Today.