AI Computer Science Academy · Faisalabad

AI & Automation · Advanced

Agentic AI

Master Agentic AI by building, orchestrating, and deploying autonomous multi-agent systems using Python, n8n, LangChain, FastAPI, MCP, and Docker.

  • 8 monthslength
  • 4modules
  • 24+skills taught
  • Rs 12,000per month
Apply for the next batch

About this course

What you will study

Agentic AI is the difference between a chatbot that just answers and an autonomous system that plans, uses tools, collaborates, and executes real-world tasks. This comprehensive track takes you from the absolute foundations to production-grade AI engineering.

You will master a modern AI stack including Python, n8n, Claude Code, OpenAI SDK, LangChain/LangGraph, and Google ADK. You will learn how to give your agents short and long-term memory (mem0), connect them to custom data using advanced RAG pipelines, and orchestrate complex multi-agent workflows.

Moving beyond the basics, you will build robust backends with FastAPI and Neon DB, and implement cutting-edge communication protocols like MCP (Model Context Protocol) and A2A. Finally, you will learn how to safely scale and deploy your autonomous systems using Docker, microservices, and Dapr while adhering to AI ethics and safety guardrails.

By the end of this course, you will have shipped multiple portfolio-ready projects, including a fully autonomous research system and a production-ready capstone project deployed in a cloud-native architecture.

The plan

What you will learn, module by module

4 modules over 8 months. Each one ends with something you built, not a quiz you guessed.

Fee and batch
  1. FoundationsWeeks 1–8

    What you will learn in this module

    • AI Intro
    • N8n visual workflows
    • Python
    • Prompt Engineering
    • Spec Driven Development
    • Claude Code
  2. Intelligence LayerWeeks 9–16

    What you will learn in this module

    • Agent SDKs (OpenAI
    • LangGraph
    • Google ADK)
    • Short/Long-Term Memory
    • Advanced RAG
    • Design Patterns
  3. Collaboration LayerWeeks 17–24

    What you will learn in this module

    • FastAPI
    • Databases (Neon DB)
    • Networking Protocols
    • Custom MCP Servers
    • A2A Communication
    • Evaluation
  4. Production & ScaleWeeks 25–35

    What you will learn in this module

    • Docker & Microservices
    • Dapr
    • DACA Pattern
    • Infrastructure
    • AI Ethics
    • Safety Architecture

After the course

What you will be able to do

  • Build visual and code-based AI agents using n8n, Python, and Claude Code
  • Design sophisticated multi-agent systems with short-term and long-term memory
  • Implement advanced Retrieval-Augmented Generation (RAG) pipelines for knowledge-grounded agents
  • Develop robust agent backends using FastAPI, Neon DB, and Model Context Protocol (MCP)
  • Orchestrate horizontal agent collaboration using A2A protocols
  • Deploy, scale, and monitor autonomous agents using Docker, Dapr, and microservices
  • Implement safety guardrails, evaluation frameworks, and ethical compliance for production AI

Included in the monthly fee

  • One computer per student, every class
  • Teacher feedback on your code or your files, in class
  • Free access to the browser coding lab between classes
  • Certificate with a QR code any employer can verify
  • One free make-up sitting per month if work or family interrupts you

Money

Fee and batch

  • Monthly feeRs 12,000
  • Usual fee elsewhereRs 18,000
  • Duration8 months
  • Admission feeNone
  • Exam feeNone
  • Certificate feeNone

Open batches

  • Morning AI Mon to Fri · 10:00–11:00 · M. Awais
Apply for this course Call +92 325 8000848

Pay by cash, JazzCash or bank transfer at the desk. The office marks it in your ledger the same day.

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