Courses › Tech › Agentic AI
🤖
Advanced Tech

Agentic AI

Build autonomous AI agents that think, decide, and act — using the exact LLM workflows and automation tools running in real client projects today.

Sir Abrar Hussain
3 Months
10–20 Students Per Batch
Certificate + Portfolio
Enroll Now — WhatsApp Ask a Question

What You'll Learn

Design and build multi-step autonomous AI agents
Integrate LLMs (GPT-4, Claude, Gemini) via API
Automate business workflows end-to-end with n8n
Build RAG pipelines with vector databases
Create AI-powered chatbots and voice assistants
Connect agents to real data sources and external APIs
Deploy agents to cloud and productionise workflows
Build a client-ready AI automation portfolio

Course Curriculum

3 Months intensive program

Week 1

Foundations of AI & Large Language Models

  • How LLMs work — transformers, tokens, context windows
  • Prompt engineering: zero-shot, few-shot, chain-of-thought
  • OpenAI, Anthropic, and Google APIs — setup and first calls
  • System prompts, roles, and structured outputs
  • Understanding AI hallucination and how to handle it
Week 2

Agentic Thinking & Tool Use

  • What makes an AI "agentic" — reasoning loops and planning
  • Function calling and tool use with OpenAI & Claude
  • ReAct pattern: Reasoning + Acting in LLM agents
  • Building your first agent with memory and tool access
  • Agent evaluation: testing outputs and preventing failures
Week 3

n8n Automation from Scratch

  • n8n setup — self-hosted and cloud, nodes and workflows
  • Triggers, webhooks, and scheduling automations
  • Connecting n8n to Google Workspace, Notion, Airtable
  • HTTP request nodes — integrating any API
  • Error handling and retry logic in production workflows
Week 4

AI + n8n: Intelligent Workflow Automation

  • Adding LLM nodes to n8n workflows
  • AI-powered email triage and auto-response systems
  • Document summarisation and extraction pipelines
  • Lead qualification and CRM automation with AI
  • Real client workflow: automated reporting system
Week 5

RAG — Retrieval-Augmented Generation

  • Why RAG exists and when to use it
  • Embeddings, vector search, and semantic similarity
  • Building a knowledge base with Pinecone or Supabase pgvector
  • Chunking strategies and embedding pipeline design
  • Q&A agent over your own documents — end to end
Week 6

Multi-Agent Systems & Orchestration

  • Multi-agent architectures — supervisor and worker agents
  • LangChain agents and LangGraph state machines
  • Agent memory: short-term, long-term, and episodic
  • Handoffs, routing, and tool delegation between agents
  • Building a research assistant agent with sub-agents
Week 7

AI Chatbots, Voice & Real Integrations

  • Building a production chatbot with streaming responses
  • WhatsApp and Telegram bot integration via n8n
  • Voice agents with ElevenLabs and Whisper transcription
  • Connecting agents to databases, spreadsheets, and CRMs
  • Real client project: AI customer support agent
Week 8

Deployment, Productionisation & Portfolio

  • Deploying agents to Railway, Render, or VPS
  • API wrapping — serving your agent as a REST endpoint
  • Cost management: token budgets and caching strategies
  • Capstone: full agentic system for a real use case
  • Freelancing with AI automation — pricing and pitching clients

Tools & Technologies

OpenAI API Claude API Gemini API n8n LangChain LangGraph Pinecone Supabase ElevenLabs Whisper Python FastAPI Docker Railway Airtable

Frequently Asked Questions

Do I need to know how to code?

Basic Python knowledge is helpful but not required for the n8n automation modules. For the agent development weeks, we cover the Python you need as we go. If you can read simple code, you are ready.

Why is this the most expensive course?

Agentic AI is the highest-demand skill in tech right now. The course covers API costs (we show you how to keep them under $5 during training), real production tools, and is taught from live client projects — not a textbook.

What can I actually build after this course?

Autonomous business automation systems, AI chatbots, RAG knowledge bases, voice assistants, lead generation pipelines, document processors — all deployable and sellable to clients as a freelancer.

Will I need to pay for API access during the course?

Most providers offer free trial credits (OpenAI, Anthropic, Google) that are more than sufficient for learning. We structure exercises to minimise cost. Total spend during training is typically under PKR 500–1,000.

Is Agentic AI relevant in Pakistan?

Extremely. Pakistani freelancers are already earning on Upwork and Fiverr building n8n automations and AI chatbots for US and UK clients. This course puts you ahead of 99% of the market.

Ready to Start Agentic AI?

Batch starts June 1st, 2026. Limited to 20 seats. Message us on WhatsApp to confirm your spot.

Enroll Now — PKR 1,000 Registration View All Courses