Building Real-World AI Workflows: From Core Engineering to Smart Automation
Explore AI concepts including Generative AI, AI agents, and automation workflows using N8N, with insights into AI trends, agentic AI, and practical applications in real-time automation and smart engineering.
What’s
Today?
Building Context ForAgentic World
Q & A
What is Automation
Importance and Core Components of
N8N Automation
N8N For Real time Automation
4.
NVIDIA will provideaccess to the most advanced
NVIDIA® GH200 Grace Hopper Superchip and
NVIDIA DGX™ Cloud, an AI supercomputing service in the
cloud.
https://nvidianews.nvidia.com/news/reliance-and-nvidia-partner-to-advance-ai-in-india-for-india
AI Today
Gen AI
Generative AI(Gen AI) is a broad category of AI models that can generate new content, including
text, images, audio, and more
LLM
Large Language Models (LLMs) are a specific type of Gen AI focused on processing and
generating human-like text.
9.
AI Agent
AI agentsare autonomous software systems that perceive their environment, make decisions,
and act to achieve specific goals with minimal human intervention.
Agentic AI systems will have one or more AI agents performing complex tasks.
Agentic AI
10.
You have registeredfor an FDP
Instantly, your data goes into Database and...
A summary email is sent to you by Admin to join in
an Whatsapp group.
Imagine
this:
👉 Did a human do this manually?
11.
Making systems dorepetitive tasks
automatically without human intervention
---
Automation
12.
A workflow =Step-by-step connected automation logic
13.
Core Concepts ofan Automation
🔹Trigger
Something happens Workflow starts
→
Examples:
Form submitted
New email received
Button clicked
Scheduled time (every day 9 AM)
14.
Core Concepts ofan Automation
🔹 Filter / Logic
Should we proceed or not?
Examples:
• If marks > 80 Send certificate
→
• If payment = success Grant access
→
15.
Core Concepts ofan Automation
🔹 Actions(Apps)
Lets Now perform tasks
Examples:
• Send Email
• Add row to Google Sheets
• Send WhatsApp message
• Call API
PRUDHVI
NARAYANA
Data & AIEngineer @TCS Applied Research
Databricks Certified Data Engineering Professional , Expert Data Scientist @kaggle
• Winner of 4th IEEE GRSS Student Grant Challenge (8000 USD) , Brisbane City,
Australia
• Finalist of India OPEN GSI Hackathon, NVIDIA (Represented TCS At Global Stage)
• Reviewer for IEEE and Several Scopus Journals(Wiley, PLOS ONE,EJRS)
@iam_an_outlier
BANDARU