Agentic AI in One Day

Agentic AI in One Day is a practical, hands-on, instructor-led course that takes you from AI fundamentals to building real automation systems — all in a single day.

Learn how Large Language Models, RAG systems, and Agentic AI work, then spend the afternoon in live labs building actual automations for LinkedIn, Gmail, and Instagram using n8n — guided by an expert instructor throughout.

No prior AI experience needed. No pre-recorded videos. Just live, hands-on learning with results you can deploy from day one.

Led by Junaid Khateeb, M.E. — AI Thought Leader, Author of 5 Books, Corporate Trainer for L&T and Catrion International, Jeddah. 23 years of training experience.

Sunday, 12th April · 10 AM – 5 PM IST

One payment. Complete knowledge. We don't sell you another course after this.

Detailed Course Content

Module 1 — Introduction to Generative AI

• What is Artificial Intelligence

• Evolution of AI: Rule-Based Systems to Generative AI

• Machine Learning vs Deep Learning vs Generative AI

• Applications of AI in business and automation

• Introduction to AI agents and autonomous systems

• Practical: Exploring ChatGPT, understanding prompts and AI responses

Module 2 — Large Language Models (LLMs)

• Tokens, Embeddings, Context window

• Prompt engineering

• Temperature and randomness

• LLMs covered: GPT, Claude, Llama, Gemini

• Applications: Chatbots

Module 3 — Retrieval-Augmented Generation (RAG)

• Why RAG matters: reduces hallucinations, uses up-to-date info, private knowledge integration

• RAG Architecture: Data source → Embeddings → Vector database → Retrieval layer → LLM generation

• Tools: Chroma, LangChain

Module 4 — Agentic AI

• What is Agentic AI, Features of Agents, Agentic Tools

• Key characteristics: Goal-driven behavior, Decision-making, Tool usage, Memory and context, Multi-step reasoning

• Examples: AI customer support agents, AI research assistants

Module 5 — Creating AI Workflows

• Workflow components: Trigger, Input processing, AI decision layer, Action execution, Output delivery

• Real-world examples: Sales automation, Customer support bots

Module 6 — Introduction to n8n (Lab)

• Visual workflow builder, API integrations, AI node support, Automation triggers

• Example automations: WhatsApp chatbot, Lead management, Email automation

• Lab: Build a workflow — new lead form trigger → AI lead qualification

Module 7 — LinkedIn Automation (Lab)

• Identify target profiles → Send connection request → Automated introduction message → Follow-up sequence

• AI integration: LLM-generated personalised messages

• Tools: n8n, LinkedIn APIs

Module 8 — Gmail Automation (Lab)

• Lead response: New lead → AI drafts email → Gmail sends → Follow-up scheduled

• Customer support: Email received → AI summarises → AI drafts reply → Human approval → Send

• Tools: Gmail API, n8n, AI nodes

Module 9 — Instagram Automation (Lab)

• Lead response: New DM → AI understands intent → AI drafts reply → Auto/manual send → Follow-up

• Customer interaction: Message → AI summarises → AI drafts → Human approval → Reply sent

• Tools: Instagram Graph API, n8n, AI nodes